diff --git a/cran-comments.md b/cran-comments.md index c1d2bad5b..ed3ad51ba 100644 --- a/cran-comments.md +++ b/cran-comments.md @@ -1,13 +1,35 @@ ## Test environments -* local OS X install, R 3.5.1 -* Ubuntu 14.04 (on travis-ci), R-oldrel, R-release, R-devel -* Windows Server 2012 R2 (x64), R 3.5.1 -* Rhub - * Windows Server 2008 R2 SP1, R-devel, 32/64 bit - * Ubuntu Linux 16.04 LTS, R-release, GCC -* win-builder (devel and release) +* GitHub Actions (ubuntu-16.04): 3.3, 3.4, 3.5, oldrel, release, devel +* GitHub Actions (windows): release +* Github Actions (macOS): release, devel +* win-builder: devel ## R CMD check results 0 ERRORs | 0 WARNINGs | 0 NOTES. + +## revdepcheck results + +We checked 302 reverse dependencies, comparing R CMD check results across CRAN and dev versions of this package. + + * We saw 0 new problems + * We failed to check 15 packages + +### Failed to check + +* ctsem (NA) +* doRNG (NA) +* elementR (NA) +* FossilSim (NA) +* gscaLCA (NA) +* likert (NA) +* Luminescence (NA) +* manifestoR (NA) +* metagam (NA) +* NMF (NA) +* osmplotr (NA) +* outsider.base (NA) +* SpaDES.addins (NA) +* SpaDES.core (NA) +* vegtable (NA) diff --git a/revdep/README.md b/revdep/README.md index c122290c2..3fd3c4852 100644 --- a/revdep/README.md +++ b/revdep/README.md @@ -1,58 +1,28 @@ -# Platform - -|field |value | -|:--------|:----------------------------| -|version |R version 3.6.0 (2019-04-26) | -|os |macOS Mojave 10.14.4 | -|system |x86_64, darwin15.6.0 | -|ui |X11 | -|language |(EN) | -|collate |en_US.UTF-8 | -|ctype |en_US.UTF-8 | -|tz |America/New_York | -|date |2019-07-01 | - -# Dependencies - -|package |old |new |Δ | -|:--------|:-----|:------|:--| -|devtools |2.0.2 |2.1.0 |* | -|git2r |NA |0.26.1 |* | -|mime |NA |0.7 |* | -|praise |NA |1.0.0 |* | -|remotes |NA |2.1.0 |* | -|rlang |NA |0.4.0 |* | -|testthat |NA |2.1.1 |* | - # Revdeps -## Failed to check (13) - -|package |version |error |warning |note | -|:-------------------------------------|:-------|:-----|:-------|:------| -|clustermq |0.8.8 |1 | |1 | -|ctsem |2.9.6 |1 | |2 | -|FoldGO |1.2.0 |1 | | | -|infer |0.4.0.1 |1 | | | -|jwutil |1.2.3 |1 | | | -|lilikoi |0.1.0 |1 | |2 | -|link2GI |0.3-5 |1 | | | -|mnem |1.0.0 |1 | | | -|MoonlightR |1.10.0 |1 | | | -|[SpaDES.core](failures.md#spadescore) |0.2.5 |2 | |__+1__ | -|StarBioTrek |1.10.0 |1 | | | -|TCGAbiolinks |2.12.2 |1 |2 |4 | -|TCGAbiolinksGUI |1.10.0 |1 | | | - -## New problems (7) - -|package |version |error |warning |note | -|:--------------------------------------------------|:-------|:-----|:-------|:--------| -|[available](problems.md#available) |1.0.2 | | |1 __+1__ | -|[BiocWorkflowTools](problems.md#biocworkflowtools) |1.10.0 | |__+1__ |1 | -|[googleAuthR](problems.md#googleauthr) |0.8.0 | |__+1__ |1 | -|[packagedocs](problems.md#packagedocs) |0.4.0 | | |__+1__ | -|[soilcarbon](problems.md#soilcarbon) |1.2.0 | | |1 __+1__ | -|[understandBPMN](problems.md#understandbpmn) |1.1.0 | | |__+1__ | -|[zebu](problems.md#zebu) |0.1.2 | | |__+1__ | +## Failed to check (15) + +|package |version |error |warning |note | +|:-------------|:-------|:-----|:-------|:----| +|ctsem |3.3.8 |1 | | | +|doRNG |? | | | | +|elementR |1.3.6 |1 | | | +|FossilSim |? | | | | +|gscaLCA |0.0.5 |1 | | | +|likert |1.3.5 |1 | | | +|Luminescence |? | | | | +|manifestoR |1.4.0 |1 | | | +|metagam |? | | | | +|NMF |? | | | | +|osmplotr |? | | | | +|outsider.base |? | | | | +|SpaDES.addins |? | | | | +|SpaDES.core |? | | | | +|vegtable |0.1.6 |1 | | | + +## New problems (1) + +|package |version |error |warning |note | +|:----------------------------------|:-------|:------|:-------|:----| +|[rfishbase](problems.md#rfishbase) |3.0.4 |__+1__ | |1 | diff --git a/revdep/failures.md b/revdep/failures.md index 31dd36948..c544d90c3 100644 --- a/revdep/failures.md +++ b/revdep/failures.md @@ -1,84 +1,20805 @@ -# clustermq +# ctsem
-* Version: 0.8.8 -* Source code: https://github.com/cran/clustermq -* URL: https://github.com/mschubert/clustermq -* BugReports: https://github.com/mschubert/clustermq/issues -* Date/Publication: 2019-06-05 22:00:39 UTC -* Number of recursive dependencies: 74 +* Version: 3.3.8 +* Source code: https://github.com/cran/ctsem +* URL: https://github.com/cdriveraus/ctsem +* Date/Publication: 2020-07-16 15:20:02 UTC +* Number of recursive dependencies: 129 -Run `revdep_details(,"clustermq")` for more info +Run `cloud_details(, "ctsem")` for more info
## In both -* R CMD check timed out - - -* checking dependencies in R code ... NOTE +* checking whether package ‘ctsem’ can be installed ... ERROR ``` - Namespaces in Imports field not imported from: - ‘R6’ ‘purrr’ - All declared Imports should be used. + Installation failed. + See ‘/tmp/workdir/ctsem/new/ctsem.Rcheck/00install.out’ for details. ``` -# ctsem +## Installation + +### Devel + +``` +* installing *source* package ‘ctsem’ ... +** package ‘ctsem’ successfully unpacked and MD5 sums checked +** using staged installation +** libs +"/opt/R/3.6.3/lib/R/bin/Rscript" -e "source(file.path('..', 'tools', 'make_cc.R')); make_cc(commandArgs(TRUE))" stan_files/ctsm.stan +Wrote C++ file "stan_files/ctsm.cc" + + +g++ -std=gnu++14 -I"/opt/R/3.6.3/lib/R/include" -DNDEBUG -I"../inst/include" -I"/opt/R/3.6.3/lib/R/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DRCPP_PARALLEL_USE_TBB=1 -I"/opt/R/3.6.3/lib/R/library/BH/include" -I"/opt/R/3.6.3/lib/R/library/Rcpp/include" -I"/opt/R/3.6.3/lib/R/library/RcppEigen/include" -I"/opt/R/3.6.3/lib/R/library/RcppParallel/include" -I"/opt/R/3.6.3/lib/R/library/rstan/include" -I"/opt/R/3.6.3/lib/R/library/StanHeaders/include" -I/usr/local/include -I'/opt/R/3.6.3/lib/R/library/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -fpic -g -O2 -c stan_files/ctsm.cc -o stan_files/ctsm.o +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:392:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128 {aka __vector(4) float}’ [-Wignored-attributes] + template<> struct is_arithmetic<__m128> { enum { value = true }; }; + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i {aka __vector(2) long long int}’ [-Wignored-attributes] + template<> struct is_arithmetic<__m128i> { enum { value = true }; }; + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d {aka __vector(2) double}’ [-Wignored-attributes] + template<> struct is_arithmetic<__m128d> { enum { value = true }; }; + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes] + template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes] + template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i {aka __vector(2) long long int}’ [-Wignored-attributes] + template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes] + struct palign_impl + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i {aka __vector(2) long long int}’ [-Wignored-attributes] + struct palign_impl + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes] + struct palign_impl + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes] + ptranspose(PacketBlock& kernel) { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes] + ptranspose(PacketBlock& kernel) { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i {aka __vector(2) long long int}’ [-Wignored-attributes] + ptranspose(PacketBlock& kernel) { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:374:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes] + template<> struct conj_helper { \ + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ + EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes] + template<> struct conj_helper { \ + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ + EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes] + template<> struct conj_helper { \ + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ + EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes] + template<> struct conj_helper { \ + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ + EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half {aka __vector(4) float}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:28:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/shared_ptr.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/time_clock.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/detail/shared_count.hpp:356:33: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/shared_ptr.hpp:17:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/time_clock.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:256:65: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R > + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/shared_ptr.hpp:17:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/time_clock.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:471:31: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/shared_ptr.hpp:17:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/time_clock.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:484:22: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + shared_ptr( std::auto_ptr && r ): px(r.get()), pn() + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/shared_ptr.hpp:17:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/time_clock.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:567:34: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + shared_ptr & operator=( std::auto_ptr & r ) + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/shared_ptr.hpp:17:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/time_clock.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:576:34: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + shared_ptr & operator=( std::auto_ptr && r ) + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/shared_ptr.hpp:17:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/time_clock.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function ‘boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)’: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:578:38: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/SparseCore:37:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Sparse:26, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half {aka __vector(2) long long int}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_lpnorm<1, double>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 5>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::TriangularView >, 2>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: recursively required by substitution of ‘template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const Eigen::DenseBase&, const typename ThenDerived::Scalar&) const [with ThenDerived = ]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/fusion/functional/adapter/fused.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/fusion/include/make_fused.hpp:11, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/numeric/odeint/util/resize.hpp:28, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/numeric/odeint.hpp:25, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/arr.hpp:34, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat.hpp:336, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat.hpp:12, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/test_gradients.hpp:7, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:35, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/get_pointer.hpp: At global scope: +/opt/R/3.6.3/lib/R/library/BH/include/boost/get_pointer.hpp:48:40: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + template T * get_pointer(std::auto_ptr const& p) + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:192:76: required from ‘class Eigen::Ref >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10: required from ‘class Eigen::LLT >, 1>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: required from ‘struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8: required from ‘struct Eigen::internal::evaluator > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:43:26: required from ‘struct Eigen::internal::traits > >::match > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:199:63: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::adj_Op, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::adj_Op, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl >::adj_Op, Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::adj_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:234:77: required from ‘class Eigen::Ref >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21: required from ‘class Eigen::Tridiagonalization >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:225:48: required from ‘void Eigen::DenseBase::transposeInPlace() [with Derived = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17: required from ‘Eigen::Matrix stan::math::to_matrix(const std::vector&, int, int) [with T = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Eigen::ArrayBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:244:25: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1, 1, true>, -1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false>, 1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, 1, -1, false>, -1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:39: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:39: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:491:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:69:75: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:390:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type LhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type RhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type ResPacket; + ^~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:43:20: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const T2&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:5209:49: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form_diag.hpp:21:27: required from ‘Eigen::Matrix::type, -1, -1> stan::math::quad_form_diag(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:5247:51: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form_diag.hpp:21:33: required from ‘Eigen::Matrix::type, -1, -1> stan::math::quad_form_diag(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:5247:51: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:28:13: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:5695:52: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:191:14: required from ‘typename boost::disable_if, Eigen::Matrix >::type stan::model::rvalue(const Eigen::Matrix&, const stan::model::cons_index_list&, const char*, int) [with T = double; I = stan::model::index_multi; typename boost::disable_if, Eigen::Matrix >::type = Eigen::Matrix]’ +stan_files/ctsm.hpp:5715:368: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/get_base1.hpp:255:39: required from ‘Eigen::Matrix stan::math::get_base1(const Eigen::Matrix&, size_t, const char*, size_t) [with T = double; size_t = long unsigned int]’ +stan_files/ctsm.hpp:5715:655: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/transpose.hpp:11:22: required from ‘Eigen::Matrix stan::math::transpose(const Eigen::Matrix&) [with T = double; int R = 1; int C = -1]’ +stan_files/ctsm.hpp:5715:645: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/to_vector.hpp:17:50: required from ‘Eigen::Matrix stan::math::to_vector(const Eigen::Matrix&) [with T = double; int R = -1; int C = -1]’ +stan_files/ctsm.hpp:6021:301: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:28:12: required from ‘Eigen::Matrix::type, R, C> stan::math::multiply(const Eigen::Matrix&, T2) [with int R = 1; int C = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6061:110: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/transpose.hpp:11:22: required from ‘Eigen::Matrix stan::math::transpose(const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]’ +stan_files/ctsm.hpp:6428:340: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:24: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:28: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/subtract.hpp:28:13: required from ‘Eigen::Matrix::type, R, C> stan::math::subtract(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6445:69: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:493:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::MatrixBase >::CastXpr’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::MatrixBase >::CastXpr::Type Eigen::MatrixBase >::cast() const [with NewType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:200:10: required from ‘Eigen::Matrix::type, -1, 1> stan::math::append_row(const Eigen::Matrix&, const T2&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6458:130: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:28:13: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6468:60: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6481:81: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form_sym.hpp:19:24: required from ‘Eigen::Matrix stan::math::quad_form_sym(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6489:81: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form_sym.hpp:19:17: required from ‘Eigen::Matrix stan::math::quad_form_sym(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6489:81: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Transpose >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Transpose > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:34:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Transpose > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:34:18: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:43:20: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const T2&) [with T1 = double; T2 = double; int R = -1; int C = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:7040:48: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:43:20: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const T2&) [with T1 = double; T2 = double; int R = -1; int C = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:7040:48: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/subtract.hpp:34:12: required from ‘Eigen::Matrix::type, R, C> stan::math::subtract(const T1&, const Eigen::Matrix&) [with T1 = int; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:7163:540: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:491:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = double]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:110:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1536:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] + const int SResPacketHalfSize = unpacket_traits::half>::size; + ^~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1591:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; + ^~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; + ^~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; + ^~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; + ^~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; U = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25: required from ‘static double stan::math::internal::dot_product_vari::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(typename stan::math::internal::dot_product_store_type::type, typename stan::math::internal::dot_product_store_type::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; size_t = long unsigned int]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30: required from ‘bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10: required from ‘bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9: required from ‘static void stan::math::internal::finite, true>::check(const char*, const char*, const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::log1p_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::log1p_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::log1p_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::log1p_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::log1p_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::log1p_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/log1p_exp.hpp:32:53: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::log1p_exp(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ +stan_files/ctsm.hpp:5209:72: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/divide.hpp:23:12: required from ‘Eigen::Matrix::type, R, C> stan::math::divide(const Eigen::Matrix&, T2) [with int R = 1; int C = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:232:54: required from ‘Eigen::Matrix::type, -1, -1> model_ctsm_namespace::constraincorsqrt(const Eigen::Matrix&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ +stan_files/ctsm.hpp:5242:56: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:27:25: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/log.hpp:40:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::log(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ +stan_files/ctsm.hpp:7163:204: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/sqrt.hpp:32:48: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::sqrt(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ +stan_files/ctsm.hpp:7846:59: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:491:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 2]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + PacketBlock kernel; + ^~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23: required from ‘int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor; Scalar = double; XType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from ‘void stan::optimization::BFGSUpdate_HInv::search_direction(stan::optimization::BFGSUpdate_HInv::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:443:8: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = double; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2521:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/square.hpp:31:50: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::square(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ +stan_files/ctsm.hpp:232:245: required from ‘Eigen::Matrix::type, -1, -1> model_ctsm_namespace::constraincorsqrt(const Eigen::Matrix&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ +stan_files/ctsm.hpp:5242:56: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:44:51: required from ‘Eigen::CommaInitializer::CommaInitializer(XprType&, const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; XprType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:155:10: required from ‘Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:150:10: required from ‘Eigen::Matrix stan::math::append_row(const Eigen::Matrix&, const Eigen::Matrix&) [with T = double; int R1 = -1; int R2 = -1]’ +stan_files/ctsm.hpp:6291:287: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, 1, -1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, 1, -1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/stan_print.hpp:65:29: required from ‘void stan::math::stan_print(std::ostream*, const Eigen::Matrix&) [with T = double; std::ostream = std::basic_ostream]’ +stan_files/ctsm.hpp:6298:59: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:192:53: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:208:18: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:127:35: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView, 1>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView, 1>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView, 1>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::TriangularView, 1>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::TriangularView, 1>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::TriangularView, 1>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:131:19: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView, 1>, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView, 1>, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView, 1>, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::TriangularView, 1>, 0>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::TriangularView, 1>, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:147:54: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:153:48: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:155:49: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:167:9: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:244:34: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:89:38: required from ‘void Eigen::matrix_exp_pade5(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:197:23: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:89:50: required from ‘void Eigen::matrix_exp_pade5(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:197:23: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:109:50: required from ‘void Eigen::matrix_exp_pade7(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:199:23: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:110:5: required from ‘void Eigen::matrix_exp_pade7(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:199:23: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:132:62: required from ‘void Eigen::matrix_exp_pade9(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:201:23: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:133:5: required from ‘void Eigen::matrix_exp_pade9(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:201:23: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/advi.hpp:222:25: required from ‘double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_ctsm_namespace::model_ctsm; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/advi.hpp:468:22: required from ‘int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_ctsm_namespace::model_ctsm; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3: required from ‘int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:886:18: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:522:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:522:47: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:134:29: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>; Rhs = Eigen::Transpose >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/sum.hpp:21:16: required from ‘typename Eigen::DenseBase::Scalar stan::math::sum(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; typename Eigen::DenseBase::Scalar = double]’ +stan_files/ctsm.hpp:232:238: required from ‘Eigen::Matrix::type, -1, -1> model_ctsm_namespace::constraincorsqrt(const Eigen::Matrix&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ +stan_files/ctsm.hpp:5242:56: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:491:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:191:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + PacketBlock kernel; + ^~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:180:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Transpose, -1, -1, false> >, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + PacketBlock kernel; + ^~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:374:28: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:507:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type LhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type RhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type ResPacket; + ^~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, false>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/get_base1.hpp:255:39: required from ‘Eigen::Matrix stan::math::get_base1(const Eigen::Matrix&, size_t, const char*, size_t) [with T = double; size_t = long unsigned int]’ +stan_files/ctsm.hpp:5715:655: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6481:81: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + conj_helper pcj; + ^~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:192:13: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:192:13: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 1; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from ‘Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:7055:63: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type LhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type RhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type ResPacket; + ^~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:574:9: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix; Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false> >; Derived = Eigen::Block, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:519:50: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:44:51: required from ‘Eigen::CommaInitializer::CommaInitializer(XprType&, const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; XprType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:155:10: required from ‘Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:150:10: required from ‘Eigen::Matrix stan::math::append_row(const Eigen::Matrix&, const Eigen::Matrix&) [with T = double; int R1 = -1; int R2 = -1]’ +stan_files/ctsm.hpp:6291:287: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/dot_self.hpp:20:24: required from ‘double stan::math::dot_self(const Eigen::Matrix&) [with int R = 1; int C = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:134:29: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + conj_helper pcj; + ^~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:491:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:340:25: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + PacketBlock kernel; + ^~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:368:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:246:43: required from ‘Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return first_aligned::alignment>(array, size); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, true, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, true, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:498:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; + ^~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; + ^~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:610:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type LhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type RhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type ResPacket; + ^~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:192:13: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:192:13: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + conj_helper pcj; + ^~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:34:18: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:34: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:505:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:94:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:174:44: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:95:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0, 6>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:94:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:95:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:192:13: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, false>; ResultType = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; ResultType = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:288:58: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::true_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:293:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::true_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 0; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:67:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:434:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 1, 1, false>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 1, 1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 1, 1, false>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, true> >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; ResultType = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2513:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:308:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, false>, 1, 1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int Mode = 1; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:127:35: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose >; int Mode = 2; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:34:18: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:34:18: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:48:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:127:35: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:127:35: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 1>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:74:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int Mode = 1; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, 1>; Rhs = Eigen::Matrix; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 1>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:127:35: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type LhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type RhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type ResPacket; + ^~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:111: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:111: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 1>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:145:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose >; int Mode = 2; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; Lhs = Eigen::Matrix; Rhs = const Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView, 1>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type LhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type RhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type ResPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:154:113: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose >; int Mode = 2; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; Lhs = Eigen::Matrix; Rhs = const Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView, 1>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type LhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type RhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type ResPacket; + ^~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:146:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:149:35: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:149:35: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:74:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int Mode = 1; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, 1>; Rhs = Eigen::Matrix; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 1>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:127:35: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + conj_helper pcj; + ^~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:145:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose >; int Mode = 2; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; Lhs = Eigen::Matrix; Rhs = const Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView, 1>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + conj_helper pcj; + ^~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:154:113: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose >; int Mode = 2; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; Lhs = Eigen::Matrix; Rhs = const Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView, 1>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:983:11: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2513:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2513:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2513:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2513:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:149:35: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:147:5: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:149:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:563:28: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:563:40: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:563:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:36: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose >; int Mode = 2; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Derived = Eigen::Block >, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2513:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2513:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:147:5: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:965:19: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:34:18: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:127:35: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:34:18: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, false> >, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; Dest = Eigen::Transpose >; int Mode = 1; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:52: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:505:48: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:30: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:505:34: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:565:40: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = const double&; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:77:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, false>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, false>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, 1, false>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = const double&; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:77:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, false>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, false>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, 1, false>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:9: required from ‘void stan::math::multiply_mat_vari::chain() [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, -1, 1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false> > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +g++: internal compiler error: Killed (program cc1plus) +Please submit a full bug report, +with preprocessed source if appropriate. +See for instructions. +/opt/R/3.6.3/lib/R/etc/Makeconf:175: recipe for target 'stan_files/ctsm.o' failed +make: *** [stan_files/ctsm.o] Error 4 +rm stan_files/ctsm.cc +ERROR: compilation failed for package ‘ctsem’ +* removing ‘/tmp/workdir/ctsem/new/ctsem.Rcheck/ctsem’ + +``` +### CRAN + +``` +* installing *source* package ‘ctsem’ ... +** package ‘ctsem’ successfully unpacked and MD5 sums checked +** using staged installation +** libs +"/opt/R/3.6.3/lib/R/bin/Rscript" -e "source(file.path('..', 'tools', 'make_cc.R')); make_cc(commandArgs(TRUE))" stan_files/ctsm.stan +Wrote C++ file "stan_files/ctsm.cc" + + +g++ -std=gnu++14 -I"/opt/R/3.6.3/lib/R/include" -DNDEBUG -I"../inst/include" -I"/opt/R/3.6.3/lib/R/library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -DRCPP_PARALLEL_USE_TBB=1 -I"/opt/R/3.6.3/lib/R/library/BH/include" -I"/opt/R/3.6.3/lib/R/library/Rcpp/include" -I"/opt/R/3.6.3/lib/R/library/RcppEigen/include" -I"/opt/R/3.6.3/lib/R/library/RcppParallel/include" -I"/opt/R/3.6.3/lib/R/library/rstan/include" -I"/opt/R/3.6.3/lib/R/library/StanHeaders/include" -I/usr/local/include -I'/opt/R/3.6.3/lib/R/library/RcppParallel/include' -D_REENTRANT -DSTAN_THREADS -fpic -g -O2 -c stan_files/ctsm.cc -o stan_files/ctsm.o +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:392:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128 {aka __vector(4) float}’ [-Wignored-attributes] + template<> struct is_arithmetic<__m128> { enum { value = true }; }; + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i {aka __vector(2) long long int}’ [-Wignored-attributes] + template<> struct is_arithmetic<__m128i> { enum { value = true }; }; + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d {aka __vector(2) double}’ [-Wignored-attributes] + template<> struct is_arithmetic<__m128d> { enum { value = true }; }; + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes] + template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes] + template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i {aka __vector(2) long long int}’ [-Wignored-attributes] + template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes] + struct palign_impl + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i {aka __vector(2) long long int}’ [-Wignored-attributes] + struct palign_impl + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes] + struct palign_impl + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes] + ptranspose(PacketBlock& kernel) { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes] + ptranspose(PacketBlock& kernel) { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i {aka __vector(2) long long int}’ [-Wignored-attributes] + ptranspose(PacketBlock& kernel) { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:374:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes] + template<> struct conj_helper { \ + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ + EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f {aka __vector(4) float}’ [-Wignored-attributes] + template<> struct conj_helper { \ + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ + EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes] + template<> struct conj_helper { \ + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ + EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d {aka __vector(2) double}’ [-Wignored-attributes] + template<> struct conj_helper { \ + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ + EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half {aka __vector(4) float}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:28:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/shared_ptr.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/time_clock.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/detail/shared_count.hpp:356:33: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + explicit shared_count( std::auto_ptr & r ): pi_( new sp_counted_impl_p( r.get() ) ) + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/shared_ptr.hpp:17:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/time_clock.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:256:65: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + template< class T, class R > struct sp_enable_if_auto_ptr< std::auto_ptr< T >, R > + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/shared_ptr.hpp:17:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/time_clock.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:471:31: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + explicit shared_ptr( std::auto_ptr & r ): px(r.get()), pn() + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/shared_ptr.hpp:17:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/time_clock.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:484:22: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + shared_ptr( std::auto_ptr && r ): px(r.get()), pn() + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/shared_ptr.hpp:17:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/time_clock.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:567:34: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + shared_ptr & operator=( std::auto_ptr & r ) + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/shared_ptr.hpp:17:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/time_clock.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:576:34: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + shared_ptr & operator=( std::auto_ptr && r ) + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/shared_ptr.hpp:17:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/time_clock.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp: In member function ‘boost::shared_ptr& boost::shared_ptr::operator=(std::auto_ptr<_Up>&&)’: +/opt/R/3.6.3/lib/R/library/BH/include/boost/smart_ptr/shared_ptr.hpp:578:38: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + this_type( static_cast< std::auto_ptr && >( r ) ).swap( *this ); + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/SparseCore:37:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Sparse:26, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half {aka __vector(2) long long int}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_lpnorm<1, double>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 5>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::TriangularView >, 2>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: recursively required by substitution of ‘template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const Eigen::DenseBase&, const typename ThenDerived::Scalar&) const [with ThenDerived = ]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13:0, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/fusion/functional/invocation/invoke.hpp:52, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/fusion/functional/adapter/fused.hpp:17, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/fusion/functional/generation/make_fused.hpp:13, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/fusion/include/make_fused.hpp:11, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/numeric/odeint/util/resize.hpp:28, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33, + from /opt/R/3.6.3/lib/R/library/BH/include/boost/numeric/odeint.hpp:25, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/arr/functor/integrate_ode_rk45.hpp:17, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/arr.hpp:34, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat.hpp:336, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat.hpp:12, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:4, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/test_gradients.hpp:7, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:35, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:4, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/BH/include/boost/get_pointer.hpp: At global scope: +/opt/R/3.6.3/lib/R/library/BH/include/boost/get_pointer.hpp:48:40: warning: ‘template class std::auto_ptr’ is deprecated [-Wdeprecated-declarations] + template T * get_pointer(std::auto_ptr const& p) + ^~~~~~~~ +In file included from /usr/include/c++/7/bits/locale_conv.h:41:0, + from /usr/include/c++/7/locale:43, + from /usr/include/c++/7/iomanip:43, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/RcppCommon.h:52, + from /opt/R/3.6.3/lib/R/library/Rcpp/include/Rcpp.h:27, + from stan_files/ctsm.cc:1: +/usr/include/c++/7/bits/unique_ptr.h:51:28: note: declared here + template class auto_ptr; + ^~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:192:76: required from ‘class Eigen::Ref >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10: required from ‘class Eigen::LLT >, 1>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: required from ‘struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8: required from ‘struct Eigen::internal::evaluator > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:43:26: required from ‘struct Eigen::internal::traits > >::match > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:199:63: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::adj_Op, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::adj_Op, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl >::adj_Op, Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::adj_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Ref.h:234:77: required from ‘class Eigen::Ref >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21: required from ‘class Eigen::Tridiagonalization >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:225:48: required from ‘void Eigen::DenseBase::transposeInPlace() [with Derived = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17: required from ‘Eigen::Matrix stan::math::to_matrix(const std::vector&, int, int) [with T = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Eigen::ArrayBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:244:25: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1, 1, true>, -1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false>, 1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, 1, -1, false>, -1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:39: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:39: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:491:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:69:75: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:390:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type LhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type RhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type ResPacket; + ^~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:43:20: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const T2&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:5209:49: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form_diag.hpp:21:27: required from ‘Eigen::Matrix::type, -1, -1> stan::math::quad_form_diag(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:5247:51: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form_diag.hpp:21:33: required from ‘Eigen::Matrix::type, -1, -1> stan::math::quad_form_diag(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:5247:51: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:28:13: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:5695:52: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/indexing/rvalue.hpp:191:14: required from ‘typename boost::disable_if, Eigen::Matrix >::type stan::model::rvalue(const Eigen::Matrix&, const stan::model::cons_index_list&, const char*, int) [with T = double; I = stan::model::index_multi; typename boost::disable_if, Eigen::Matrix >::type = Eigen::Matrix]’ +stan_files/ctsm.hpp:5715:368: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/get_base1.hpp:255:39: required from ‘Eigen::Matrix stan::math::get_base1(const Eigen::Matrix&, size_t, const char*, size_t) [with T = double; size_t = long unsigned int]’ +stan_files/ctsm.hpp:5715:655: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/transpose.hpp:11:22: required from ‘Eigen::Matrix stan::math::transpose(const Eigen::Matrix&) [with T = double; int R = 1; int C = -1]’ +stan_files/ctsm.hpp:5715:645: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/to_vector.hpp:17:50: required from ‘Eigen::Matrix stan::math::to_vector(const Eigen::Matrix&) [with T = double; int R = -1; int C = -1]’ +stan_files/ctsm.hpp:6021:301: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:28:12: required from ‘Eigen::Matrix::type, R, C> stan::math::multiply(const Eigen::Matrix&, T2) [with int R = 1; int C = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6061:110: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/transpose.hpp:11:22: required from ‘Eigen::Matrix stan::math::transpose(const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]’ +stan_files/ctsm.hpp:6428:340: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:24: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:28: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/subtract.hpp:28:13: required from ‘Eigen::Matrix::type, R, C> stan::math::subtract(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6445:69: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:493:38: required from ‘struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::MatrixBase >::CastXpr’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::MatrixBase >::CastXpr::Type Eigen::MatrixBase >::cast() const [with NewType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:200:10: required from ‘Eigen::Matrix::type, -1, 1> stan::math::append_row(const Eigen::Matrix&, const T2&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6458:130: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:28:13: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6468:60: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6481:81: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form_sym.hpp:19:24: required from ‘Eigen::Matrix stan::math::quad_form_sym(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6489:81: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form_sym.hpp:19:17: required from ‘Eigen::Matrix stan::math::quad_form_sym(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6489:81: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Transpose >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Transpose > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:34:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Transpose > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:34:18: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:43:20: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const T2&) [with T1 = double; T2 = double; int R = -1; int C = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:7040:48: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:43:20: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const T2&) [with T1 = double; T2 = double; int R = -1; int C = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:7040:48: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/subtract.hpp:34:12: required from ‘Eigen::Matrix::type, R, C> stan::math::subtract(const T1&, const Eigen::Matrix&) [with T1 = int; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:7163:540: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:491:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = double]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:110:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1536:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] + const int SResPacketHalfSize = unpacket_traits::half>::size; + ^~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1591:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; + ^~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; + ^~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; + ^~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; + ^~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) long long int}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; U = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25: required from ‘static double stan::math::internal::dot_product_vari::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(typename stan::math::internal::dot_product_store_type::type, typename stan::math::internal::dot_product_store_type::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; size_t = long unsigned int]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30: required from ‘bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10: required from ‘bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9: required from ‘static void stan::math::internal::finite, true>::check(const char*, const char*, const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::log1p_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::log1p_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::log1p_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::log1p_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::log1p_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::log1p_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/log1p_exp.hpp:32:53: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::log1p_exp(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ +stan_files/ctsm.hpp:5209:72: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/divide.hpp:23:12: required from ‘Eigen::Matrix::type, R, C> stan::math::divide(const Eigen::Matrix&, T2) [with int R = 1; int C = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:232:54: required from ‘Eigen::Matrix::type, -1, -1> model_ctsm_namespace::constraincorsqrt(const Eigen::Matrix&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ +stan_files/ctsm.hpp:5242:56: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:27:25: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/log.hpp:40:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::log(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ +stan_files/ctsm.hpp:7163:204: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/sqrt.hpp:32:48: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::sqrt(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ +stan_files/ctsm.hpp:7846:59: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:491:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 2]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + PacketBlock kernel; + ^~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23: required from ‘int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor; Scalar = double; XType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from ‘void stan::optimization::BFGSUpdate_HInv::search_direction(stan::optimization::BFGSUpdate_HInv::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:443:8: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = double; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2521:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/square.hpp:31:50: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::square(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ +stan_files/ctsm.hpp:232:245: required from ‘Eigen::Matrix::type, -1, -1> model_ctsm_namespace::constraincorsqrt(const Eigen::Matrix&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ +stan_files/ctsm.hpp:5242:56: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:44:51: required from ‘Eigen::CommaInitializer::CommaInitializer(XprType&, const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; XprType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:155:10: required from ‘Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:150:10: required from ‘Eigen::Matrix stan::math::append_row(const Eigen::Matrix&, const Eigen::Matrix&) [with T = double; int R1 = -1; int R2 = -1]’ +stan_files/ctsm.hpp:6291:287: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, 1, -1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, 1, -1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/stan_print.hpp:65:29: required from ‘void stan::math::stan_print(std::ostream*, const Eigen::Matrix&) [with T = double; std::ostream = std::basic_ostream]’ +stan_files/ctsm.hpp:6298:59: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:192:53: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:208:18: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:127:35: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView, 1>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView, 1>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView, 1>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::TriangularView, 1>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::TriangularView, 1>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::TriangularView, 1>, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:131:19: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView, 1>, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView, 1>, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView, 1>, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::TriangularView, 1>, 0>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::TriangularView, 1>, 0> >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:147:54: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:153:48: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:155:49: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:167:9: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:244:34: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:89:38: required from ‘void Eigen::matrix_exp_pade5(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:197:23: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:89:50: required from ‘void Eigen::matrix_exp_pade5(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:197:23: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:109:50: required from ‘void Eigen::matrix_exp_pade7(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:199:23: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:110:5: required from ‘void Eigen::matrix_exp_pade7(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:199:23: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:132:62: required from ‘void Eigen::matrix_exp_pade9(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:201:23: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:133:5: required from ‘void Eigen::matrix_exp_pade9(const MatrixType&, MatrixType&, MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:201:23: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/advi.hpp:222:25: required from ‘double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_ctsm_namespace::model_ctsm; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/variational/advi.hpp:468:22: required from ‘int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_ctsm_namespace::model_ctsm; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3: required from ‘int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:886:18: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:522:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:522:47: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:134:29: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>; Rhs = Eigen::Transpose >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/sum.hpp:21:16: required from ‘typename Eigen::DenseBase::Scalar stan::math::sum(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; typename Eigen::DenseBase::Scalar = double]’ +stan_files/ctsm.hpp:232:238: required from ‘Eigen::Matrix::type, -1, -1> model_ctsm_namespace::constraincorsqrt(const Eigen::Matrix&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ +stan_files/ctsm.hpp:5242:56: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:491:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:191:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + PacketBlock kernel; + ^~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:180:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Transpose, -1, -1, false> >, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + PacketBlock kernel; + ^~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:374:28: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:507:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type LhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type RhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type ResPacket; + ^~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, false>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/get_base1.hpp:255:39: required from ‘Eigen::Matrix stan::math::get_base1(const Eigen::Matrix&, size_t, const char*, size_t) [with T = double; size_t = long unsigned int]’ +stan_files/ctsm.hpp:5715:655: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6481:81: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:14: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + conj_helper pcj; + ^~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:14: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:200:35: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:192:13: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:192:13: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 1; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from ‘Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:7055:63: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type LhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type RhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type ResPacket; + ^~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:574:9: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix; Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false> >; Derived = Eigen::Block, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:519:50: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:44:51: required from ‘Eigen::CommaInitializer::CommaInitializer(XprType&, const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; XprType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:155:10: required from ‘Eigen::CommaInitializer Eigen::DenseBase::operator<<(const Eigen::DenseBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:150:10: required from ‘Eigen::Matrix stan::math::append_row(const Eigen::Matrix&, const Eigen::Matrix&) [with T = double; int R1 = -1; int R2 = -1]’ +stan_files/ctsm.hpp:6291:287: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/dot_self.hpp:20:24: required from ‘double stan::math::dot_self(const Eigen::Matrix&) [with int R = 1; int C = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:134:29: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + conj_helper pcj; + ^~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:491:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:340:25: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + PacketBlock kernel; + ^~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:368:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:246:43: required from ‘Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return first_aligned::alignment>(array, size); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, true, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, true, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:498:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; + ^~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; + ^~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:610:50: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:123:64: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type LhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type RhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type ResPacket; + ^~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:192:13: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:192:13: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:131:115: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 5]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 5]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:240:7: required from ‘void Eigen::PartialPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:147:5: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + conj_helper pcj; + ^~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 2, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:34:18: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:34: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:505:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:94:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:174:44: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:95:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0, 6>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; Eigen::MatrixBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:96: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:94:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:95:66: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:22: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/MatrixExponential.h:192:13: required from ‘static void Eigen::matrix_exp_computeUV::run(const MatrixType&, MatrixType&, MatrixType&, int&, T) [with T = double; MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_pade.hpp:23:47: required from ‘MatrixType stan::math::matrix_exp_pade(const MatrixType&) [with MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp.hpp:30:31: required from ‘Eigen::Matrix stan::math::matrix_exp(const Eigen::Matrix&) [with T = double]’ +stan_files/ctsm.hpp:6428:93: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, false>; ResultType = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; ResultType = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:288:58: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::true_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:293:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::true_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 0; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:67:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:434:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 1, 1, false>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 1, 1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 1, 1, false>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, true> >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; ResultType = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2513:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:308:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:14: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, 1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, 1, false>, 1, 1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, 1, false>, 1, 1, false>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, 1, false>, 1, 1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:32: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int Mode = 1; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:127:35: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose >; int Mode = 2; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_ctsm_namespace::model_ctsm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_ctsm_namespace::model_ctsm]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:13:87: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:34:18: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:34:18: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:48:18: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:127:35: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:127:35: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 1>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:74:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int Mode = 1; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, 1>; Rhs = Eigen::Matrix; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 1>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:127:35: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type LhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type RhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type ResPacket; + ^~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:111: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:111: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 1>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:145:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose >; int Mode = 2; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; Lhs = Eigen::Matrix; Rhs = const Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView, 1>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type LhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type RhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type ResPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:154:113: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose >; int Mode = 2; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; Lhs = Eigen::Matrix; Rhs = const Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView, 1>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type LhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type RhsPacket; + ^~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename conditional::type ResPacket; + ^~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:146:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:149:35: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:367:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:149:35: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> + ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + typedef typename find_best_packet_helper::type>::type type; + ^~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> > >, const Eigen::Block, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, 1, false>, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, 1, false>, -1, 1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:29:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_left.hpp:31:17: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6021:71: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:10: required from ‘Eigen::PartialPivLU::PartialPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:606:10: required from ‘const Eigen::PartialPivLU::PlainObject> Eigen::MatrixBase::lu() const [with Derived = Eigen::Transpose >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:30:8: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:494:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:74:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int Mode = 1; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:180:109: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, 1>; Rhs = Eigen::Matrix; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 1>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:127:35: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + conj_helper pcj; + ^~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:145:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose >; int Mode = 2; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; Lhs = Eigen::Matrix; Rhs = const Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView, 1>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + conj_helper pcj; + ^~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:154:113: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose >; int Mode = 2; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; Lhs = Eigen::Matrix; Rhs = const Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView, 1>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:983:11: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2513:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2513:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2513:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2513:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:149:35: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:147:5: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:149:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:563:28: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:563:40: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:563:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:36: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 2; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Transpose >; Dest = Eigen::Transpose >; int Mode = 2; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, 1, false> >; Derived = Eigen::Block >, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:130:31: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2513:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ +stan_files/ctsm.hpp:2513:210: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:21: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:147:5: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.hpp:3299:81: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:965:19: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:34:18: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:28: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:127:35: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with bool propto = false; T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_lpdf.hpp:165:43: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_lpdf(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_log.hpp:42:57: required from ‘stan::return_type_t stan::math::multi_normal_cholesky_log(const T_y&, const T_loc&, const T_covar&) [with T_y = Eigen::Matrix; T_loc = Eigen::Matrix; T_covar = Eigen::Matrix; stan::return_type_t = double]’ +stan_files/ctsm.hpp:7180:210: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true>, 1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:16: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/quad_form.hpp:18:30: required from ‘Eigen::Matrix stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with int RA = -1; int CA = -1; int RB = -1; int CB = -1; T = double]’ +stan_files/ctsm.hpp:6445:283: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block >, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, Eigen::Transpose > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right.hpp:34:18: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ +stan_files/ctsm.hpp:6493:267: required from ‘void model_ctsm_namespace::model_ctsm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:24:89: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, false> >, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; Dest = Eigen::Transpose >; int Mode = 1; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:53:8: required from ‘stan::math::internal::mdivide_left_vv_vari::mdivide_left_vv_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:189:9: required from ‘Eigen::Matrix stan::math::mdivide_left(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1]’ +stan_files/ctsm.hpp:2839:71: required from ‘T__ model_ctsm_namespace::model_ctsm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_ctsm_namespace::model_ctsm; std::ostream = std::basic_ostream]’ +/opt/R/3.6.3/lib/R/library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_ctsm_namespace::model_ctsm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ +stan_files/ctsm.cc:21:88: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:52: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:505:48: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:30: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, -1, 1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, -1, 1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:505:34: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:565:40: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = const double&; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:77:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, false>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, false>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, 1, false>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = const double&; Eigen::Index = long int]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:77:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, false>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, false>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, 1, false>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == DefaultProduct) || (Options == AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, false>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + return internal::first_aligned::alignment),Derived>(m); + ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:9: required from ‘void stan::math::multiply_mat_vari::chain() [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::add_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, -1, 1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, -1, 1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false>, -1, 1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, -1, 1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false> > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, true>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:17: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:135:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:648:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:65:45: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:434:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + >::type PacketReturnType; + ^~~~~~~~~~~~~~~~ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, true>, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, true, true>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true>, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_ctsm_namespace::model_ctsm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +In file included from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Core:440:0, + from /opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/Dense:1, + from /opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, + from /opt/R/3.6.3/lib/R/library/rstan/include/rstan/rstaninc.hpp:3, + from stan_files/ctsm.hpp:18, + from stan_files/ctsm.cc:3: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] + enum { + ^ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, true> >’: +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, true> >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> > >’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Func = Eigen::internal::assign_op]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; Derived = Eigen::Matrix]’ +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ +/opt/R/3.6.3/lib/R/library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:63:14: required from ‘void stan::math::internal::mdivide_left_vv_vari::chain() [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1]’ +stan_files/ctsm.cc:29:1: required from here +/opt/R/3.6.3/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type {aka __vector(2) double}’ [-Wignored-attributes] +g++: internal compiler error: Killed (program cc1plus) +Please submit a full bug report, +with preprocessed source if appropriate. +See for instructions. +/opt/R/3.6.3/lib/R/etc/Makeconf:175: recipe for target 'stan_files/ctsm.o' failed +make: *** [stan_files/ctsm.o] Error 4 +rm stan_files/ctsm.cc +ERROR: compilation failed for package ‘ctsem’ +* removing ‘/tmp/workdir/ctsem/old/ctsem.Rcheck/ctsem’ + +``` +# doRNG
-* Version: 2.9.6 -* Source code: https://github.com/cran/ctsem -* URL: https://github.com/cdriveraus/ctsem -* Date/Publication: 2019-05-29 13:40:09 UTC -* Number of recursive dependencies: 103 +* Version: 1.8.2 +* Source code: https://github.com/cran/doRNG +* URL: https://renozao.github.io/doRNG +* BugReports: http://github.com/renozao/doRNG/issues +* Date/Publication: 2020-01-27 06:30:14 UTC +* Number of recursive dependencies: 91 -Run `revdep_details(,"ctsem")` for more info +Run `cloud_details(, "doRNG")` for more info
-## In both +## Error before installation -* R CMD check timed out - +### Devel -* checking installed package size ... NOTE - ``` - installed size is 10.4Mb - sub-directories of 1Mb or more: - R 2.0Mb - data 1.8Mb - libs 5.5Mb - ``` +``` +* using log directory ‘/tmp/workdir/doRNG/new/doRNG.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘doRNG/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘doRNG’ version ‘1.8.2’ +* package encoding: UTF-8 +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package suggested but not available: ‘doMPI’ + +The suggested packages are required for a complete check. +Checking can be attempted without them by setting the environment +variable _R_CHECK_FORCE_SUGGESTS_ to a false value. + +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR + + + + + + +``` +### CRAN + +``` +* using log directory ‘/tmp/workdir/doRNG/old/doRNG.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘doRNG/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘doRNG’ version ‘1.8.2’ +* package encoding: UTF-8 +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package suggested but not available: ‘doMPI’ + +The suggested packages are required for a complete check. +Checking can be attempted without them by setting the environment +variable _R_CHECK_FORCE_SUGGESTS_ to a false value. + +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR -* checking dependencies in R code ... NOTE - ``` - Namespaces in Imports field not imported from: - ‘ggplot2’ ‘pkgbuild’ - All declared Imports should be used. - ``` -# FoldGO + + + + +``` +# elementR
-* Version: 1.2.0 -* Source code: https://github.com/cran/FoldGO -* Date/Publication: 2019-05-02 -* Number of recursive dependencies: 104 +* Version: 1.3.6 +* Source code: https://github.com/cran/elementR +* URL: https://github.com/charlottesirot/elementR +* BugReports: https://github.com/charlottesirot/elementR/issues +* Date/Publication: 2018-05-03 14:08:24 UTC +* Number of recursive dependencies: 121 -Run `revdep_details(,"FoldGO")` for more info +Run `cloud_details(, "elementR")` for more info
## In both -* checking whether package ‘FoldGO’ can be installed ... ERROR +* checking whether package ‘elementR’ can be installed ... ERROR ``` Installation failed. - See ‘.../revdep/checks.noindex/FoldGO/new/FoldGO.Rcheck/00install.out’ for details. + See ‘/tmp/workdir/elementR/new/elementR.Rcheck/00install.out’ for details. ``` ## Installation @@ -86,244 +20807,132 @@ Run `revdep_details(,"FoldGO")` for more info ### Devel ``` -* installing *source* package ‘FoldGO’ ... +* installing *source* package ‘elementR’ ... +** package ‘elementR’ successfully unpacked and MD5 sums checked ** using staged installation ** R -** data -*** moving datasets to lazyload DB -Warning: namespace ‘topGO’ is not available and has been replaced -by .GlobalEnv when processing object ‘down_annotobj’ -Warning: namespace ‘topGO’ is not available and has been replaced -by .GlobalEnv when processing object ‘down_annotobj’ -Warning: namespace ‘topGO’ is not available and has been replaced -by .GlobalEnv when processing object ‘up_annotobj’ -Warning: namespace ‘topGO’ is not available and has been replaced -by .GlobalEnv when processing object ‘up_annotobj’ ** inst ** byte-compile and prepare package for lazy loading Error in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]) : - there is no package called ‘GO.db’ + there is no package called ‘XML’ Calls: ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted -ERROR: lazy loading failed for package ‘FoldGO’ -* removing ‘.../revdep/checks.noindex/FoldGO/new/FoldGO.Rcheck/FoldGO’ +ERROR: lazy loading failed for package ‘elementR’ +* removing ‘/tmp/workdir/elementR/new/elementR.Rcheck/elementR’ ``` ### CRAN ``` -* installing *source* package ‘FoldGO’ ... +* installing *source* package ‘elementR’ ... +** package ‘elementR’ successfully unpacked and MD5 sums checked ** using staged installation ** R -** data -*** moving datasets to lazyload DB -Warning: namespace ‘topGO’ is not available and has been replaced -by .GlobalEnv when processing object ‘down_annotobj’ -Warning: namespace ‘topGO’ is not available and has been replaced -by .GlobalEnv when processing object ‘down_annotobj’ -Warning: namespace ‘topGO’ is not available and has been replaced -by .GlobalEnv when processing object ‘up_annotobj’ -Warning: namespace ‘topGO’ is not available and has been replaced -by .GlobalEnv when processing object ‘up_annotobj’ ** inst ** byte-compile and prepare package for lazy loading Error in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]) : - there is no package called ‘GO.db’ + there is no package called ‘XML’ Calls: ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted -ERROR: lazy loading failed for package ‘FoldGO’ -* removing ‘.../revdep/checks.noindex/FoldGO/old/FoldGO.Rcheck/FoldGO’ +ERROR: lazy loading failed for package ‘elementR’ +* removing ‘/tmp/workdir/elementR/old/elementR.Rcheck/elementR’ ``` -# infer +# FossilSim
-* Version: 0.4.0.1 -* Source code: https://github.com/cran/infer -* URL: https://github.com/tidymodels/infer -* BugReports: https://github.com/tidymodels/infer/issues -* Date/Publication: 2019-04-22 06:58:08 UTC -* Number of recursive dependencies: 89 +* Version: 2.1.1 +* Source code: https://github.com/cran/FossilSim +* Date/Publication: 2019-02-21 18:00:04 UTC +* Number of recursive dependencies: 112 -Run `revdep_details(,"infer")` for more info +Run `cloud_details(, "FossilSim")` for more info
-## In both +## Error before installation -* R CMD check timed out - +### Devel -# jwutil +``` +* using log directory ‘/tmp/workdir/FossilSim/new/FossilSim.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘FossilSim/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘FossilSim’ version ‘2.1.1’ +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package suggested but not available: ‘paleotree’ -
+The suggested packages are required for a complete check. +Checking can be attempted without them by setting the environment +variable _R_CHECK_FORCE_SUGGESTS_ to a false value. -* Version: 1.2.3 -* Source code: https://github.com/cran/jwutil -* URL: https://github.com/jackwasey/jwutil -* BugReports: https://github.com/jackwasey/jwutil/issues -* Date/Publication: 2019-05-06 19:10:03 UTC -* Number of recursive dependencies: 52 +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR -Run `revdep_details(,"jwutil")` for more info -
-## In both -* checking whether package ‘jwutil’ can be installed ... ERROR - ``` - Installation failed. - See ‘.../revdep/checks.noindex/jwutil/new/jwutil.Rcheck/00install.out’ for details. - ``` - -## Installation -### Devel - -``` -* installing *source* package ‘jwutil’ ... -** package ‘jwutil’ successfully unpacked and MD5 sums checked -** using staged installation -** libs -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/devtools/new/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c RcppExports.cpp -o RcppExports.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/devtools/new/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c get_current_stdlib.cpp -o get_current_stdlib.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/devtools/new/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c jwomp.cpp -o jwomp.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/devtools/new/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c rowsorted.cpp -o rowsorted.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/devtools/new/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c stdlib.cpp -o stdlib.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/devtools/new/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c test-jwutil.cpp -o test-jwutil.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/devtools/new/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c test-runner.cpp -o test-runner.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/devtools/new/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c util.cpp -o util.o -clang: error: unsupported option '-fopenmp' -make: *** [get_current_stdlib.o] Error 1 -clang: make: *** Waiting for unfinished jobs.... -error: unsupported option '-fopenmp' -clang: error: unsupported option '-fopenmp' -clang: error: unsupported option '-fopenmp' -make: *** [stdlib.o] Error 1 -make: *** [RcppExports.o] Error 1 -make: *** [rowsorted.o] Error 1 -clang: error: unsupported option '-fopenmp' -make: *** [jwomp.o] Error 1 -clang: error: unsupported option '-fopenmp' -make: *** [test-jwutil.o] Error 1 -clang: error: unsupported option '-fopenmp' -clang: error: unsupported option '-fopenmp' -make: *** [test-runner.o] Error 1 -make: *** [util.o] Error 1 -ERROR: compilation failed for package ‘jwutil’ -* removing ‘.../revdep/checks.noindex/jwutil/new/jwutil.Rcheck/jwutil’ ``` ### CRAN ``` -* installing *source* package ‘jwutil’ ... -** package ‘jwutil’ successfully unpacked and MD5 sums checked -** using staged installation -** libs -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/jwutil/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c RcppExports.cpp -o RcppExports.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/jwutil/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c get_current_stdlib.cpp -o get_current_stdlib.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/jwutil/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c jwomp.cpp -o jwomp.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/jwutil/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c rowsorted.cpp -o rowsorted.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/jwutil/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c stdlib.cpp -o stdlib.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/jwutil/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c test-jwutil.cpp -o test-jwutil.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/jwutil/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c test-runner.cpp -o test-runner.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/jwutil/Rcpp/include" -I".../revdep/library.noindex/jwutil/testthat/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -I. -fopenmp -fPIC -g -O0 -Wall -pedantic -fdiagnostics-color=always -Wsign-compare -march=native -c util.cpp -o util.o -clang: error: unsupported option '-fopenmp' -clang: error: unsupported option '-fopenmp' -clang: error: unsupported option '-fopenmp' -clang: error: make: *** [test-jwutil.o] Error 1 -make: *** Waiting for unfinished jobs.... -make: *** [get_current_stdlib.o] Error 1 -unsupported option '-fopenmp' -clangmake: *** [rowsorted.o] Error 1 -: error: unsupported option '-fopenmp' -make: *** [jwomp.o] Error 1 -clang: error: unsupported option '-fopenmp' -make: *** [stdlib.o] Error 1 -make: *** [RcppExports.o] Error 1 -clang: error: unsupported option '-fopenmp' -make: *** [test-runner.o] Error 1 -clang: error: unsupported option '-fopenmp' -make: *** [util.o] Error 1 -ERROR: compilation failed for package ‘jwutil’ -* removing ‘.../revdep/checks.noindex/jwutil/old/jwutil.Rcheck/jwutil’ +* using log directory ‘/tmp/workdir/FossilSim/old/FossilSim.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘FossilSim/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘FossilSim’ version ‘2.1.1’ +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package suggested but not available: ‘paleotree’ -``` -# lilikoi - -
+The suggested packages are required for a complete check. +Checking can be attempted without them by setting the environment +variable _R_CHECK_FORCE_SUGGESTS_ to a false value. -* Version: 0.1.0 -* Source code: https://github.com/cran/lilikoi -* URL: https://github.com/lanagarmire/lilikoi -* BugReports: https://github.com/lanagarmire/lilikoi/issues -* Date/Publication: 2018-07-30 11:10:03 UTC -* Number of recursive dependencies: 130 +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR -Run `revdep_details(,"lilikoi")` for more info - -
-## In both -* R CMD check timed out - -* checking installed package size ... NOTE - ``` - installed size is 5.4Mb - sub-directories of 1Mb or more: - data 4.1Mb - extdata 1.1Mb - ``` -* checking dependencies in R code ... NOTE - ``` - Namespaces in Imports field not imported from: - ‘Matrix’ ‘devtools’ ‘e1071’ ‘glmnet’ ‘hash’ ‘pamr’ ‘randomForest’ - All declared Imports should be used. - ``` -# link2GI - -
- -* Version: 0.3-5 -* Source code: https://github.com/cran/link2GI -* Date/Publication: 2018-10-26 23:00:03 UTC -* Number of recursive dependencies: 89 - -Run `revdep_details(,"link2GI")` for more info - -
- -## In both - -* R CMD check timed out - - -# mnem +``` +# gscaLCA
-* Version: 1.0.0 -* Source code: https://github.com/cran/mnem -* Date/Publication: 2019-05-02 -* Number of recursive dependencies: 142 +* Version: 0.0.5 +* Source code: https://github.com/cran/gscaLCA +* URL: https://github.com/hee6904/gscaLCA +* Date/Publication: 2020-06-08 21:30:02 UTC +* Number of recursive dependencies: 109 -Run `revdep_details(,"mnem")` for more info +Run `cloud_details(, "gscaLCA")` for more info
## In both -* checking whether package ‘mnem’ can be installed ... ERROR +* checking whether package ‘gscaLCA’ can be installed ... ERROR ``` Installation failed. - See ‘.../revdep/checks.noindex/mnem/new/mnem.Rcheck/00install.out’ for details. + See ‘/tmp/workdir/gscaLCA/new/gscaLCA.Rcheck/00install.out’ for details. ``` ## Installation @@ -331,610 +20940,60 @@ Run `revdep_details(,"mnem")` for more info ### Devel ``` -* installing *source* package ‘mnem’ ... +* installing *source* package ‘gscaLCA’ ... +** package ‘gscaLCA’ successfully unpacked and MD5 sums checked ** using staged installation -** libs -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/mnem/Rcpp/include" -I".../revdep/library.noindex/mnem/RcppEigen/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -fPIC -Wall -g -O2 -O3 -c RcppExports.cpp -o RcppExports.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/mnem/Rcpp/include" -I".../revdep/library.noindex/mnem/RcppEigen/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -fPIC -Wall -g -O2 -O3 -c mm.cpp -o mm.o -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:1: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Core:535: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:2: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/LU:47: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:3: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Cholesky:12: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Jacobi:29: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:3: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Cholesky:43: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/QR:17: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Householder:27: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SVD:48: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:6: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Geometry:58: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:7: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Eigenvalues:58: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:26: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SparseCore:66: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:27: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/OrderingMethods:71: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:29: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SparseCholesky:43: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:32: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SparseQR:35: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:33: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/IterativeLinearSolvers:46: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:32: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/CholmodSupport:45: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:35: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/KroneckerProduct:34: -.../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/../../Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:39: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/Polynomials:135: -.../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/../../Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:40: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/SparseExtra:51: -.../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/../../Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -17 warnings generated. -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:1: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Core:535: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:2: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/LU:47: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:3: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Cholesky:12: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Jacobi:29: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:3: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Cholesky:43: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/QR:17: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Householder:27: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SVD:48: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:6: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Geometry:58: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:7: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Eigenvalues:58: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:26: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SparseCore:66: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:27: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/OrderingMethods:71: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:29: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SparseCholesky:43: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:32: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SparseQR:35: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:33: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/IterativeLinearSolvers:46: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:32: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/CholmodSupport:45: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:35: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/KroneckerProduct:34: -.../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/../../Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:39: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/Polynomials:135: -.../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/../../Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:40: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/SparseExtra:51: -.../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/../../Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -17 warnings generated. -clang++ -std=gnu++11 -dynamiclib -Wl,-headerpad_max_install_names -undefined dynamic_lookup -single_module -multiply_defined suppress -L/Library/Frameworks/R.framework/Resources/lib -L/usr/local/lib -o mnem.so RcppExports.o mm.o -F/Library/Frameworks/R.framework/.. -framework R -Wl,-framework -Wl,CoreFoundation -installing to .../revdep/checks.noindex/mnem/new/mnem.Rcheck/00LOCK-mnem/00new/mnem/libs ** R ** data *** moving datasets to lazyload DB -** inst ** byte-compile and prepare package for lazy loading -Error in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]) : - there is no package called ‘pcalg’ +Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) : + there is no package called ‘mnormt’ Calls: ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted -ERROR: lazy loading failed for package ‘mnem’ -* removing ‘.../revdep/checks.noindex/mnem/new/mnem.Rcheck/mnem’ +ERROR: lazy loading failed for package ‘gscaLCA’ +* removing ‘/tmp/workdir/gscaLCA/new/gscaLCA.Rcheck/gscaLCA’ ``` ### CRAN ``` -* installing *source* package ‘mnem’ ... +* installing *source* package ‘gscaLCA’ ... +** package ‘gscaLCA’ successfully unpacked and MD5 sums checked ** using staged installation -** libs -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/mnem/Rcpp/include" -I".../revdep/library.noindex/mnem/RcppEigen/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -fPIC -Wall -g -O2 -O3 -c RcppExports.cpp -o RcppExports.o -clang++ -std=gnu++11 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I".../revdep/library.noindex/mnem/Rcpp/include" -I".../revdep/library.noindex/mnem/RcppEigen/include" -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -I/usr/local/include -fPIC -Wall -g -O2 -O3 -c mm.cpp -o mm.o -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:1: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Core:535: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:2: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/LU:47: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:3: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Cholesky:12: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Jacobi:29: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:3: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Cholesky:43: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/QR:17: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Householder:27: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SVD:48: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:6: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Geometry:58: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:7: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Eigenvalues:58: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:26: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SparseCore:66: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:27: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/OrderingMethods:71: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:29: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SparseCholesky:43: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:32: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SparseQR:35: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:33: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/IterativeLinearSolvers:46: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:32: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/CholmodSupport:45: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:35: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/KroneckerProduct:34: -.../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/../../Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:39: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/Polynomials:135: -.../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/../../Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from RcppExports.cpp:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:40: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/SparseExtra:51: -.../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/../../Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -17 warnings generated. -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:1: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Core:535: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:2: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/LU:47: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:3: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Cholesky:12: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Jacobi:29: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:3: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Cholesky:43: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:4: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/QR:17: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Householder:27: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SVD:48: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:6: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Geometry:58: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:30: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Dense:7: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Eigenvalues:58: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:26: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SparseCore:66: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:27: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/OrderingMethods:71: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:29: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SparseCholesky:43: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:32: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/SparseQR:35: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:31: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/Sparse:33: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/IterativeLinearSolvers:46: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:32: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/Eigen/CholmodSupport:45: -.../revdep/library.noindex/mnem/RcppEigen/include/Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:35: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/KroneckerProduct:34: -.../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/../../Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:39: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/Polynomials:135: -.../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/../../Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -In file included from mm.cpp:5: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigen.h:25: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/RcppEigenForward.h:40: -In file included from .../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/SparseExtra:51: -.../revdep/library.noindex/mnem/RcppEigen/include/unsupported/Eigen/../../Eigen/src/Core/util/ReenableStupidWarnings.h:10:30: warning: pragma diagnostic pop could not pop, no matching push [-Wunknown-pragmas] - #pragma clang diagnostic pop - ^ -17 warnings generated. -clang++ -std=gnu++11 -dynamiclib -Wl,-headerpad_max_install_names -undefined dynamic_lookup -single_module -multiply_defined suppress -L/Library/Frameworks/R.framework/Resources/lib -L/usr/local/lib -o mnem.so RcppExports.o mm.o -F/Library/Frameworks/R.framework/.. -framework R -Wl,-framework -Wl,CoreFoundation -installing to .../revdep/checks.noindex/mnem/old/mnem.Rcheck/00LOCK-mnem/00new/mnem/libs ** R ** data *** moving datasets to lazyload DB -** inst ** byte-compile and prepare package for lazy loading -Error in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]) : - there is no package called ‘pcalg’ +Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) : + there is no package called ‘mnormt’ Calls: ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted -ERROR: lazy loading failed for package ‘mnem’ -* removing ‘.../revdep/checks.noindex/mnem/old/mnem.Rcheck/mnem’ +ERROR: lazy loading failed for package ‘gscaLCA’ +* removing ‘/tmp/workdir/gscaLCA/old/gscaLCA.Rcheck/gscaLCA’ ``` -# MoonlightR +# likert
-* Version: 1.10.0 -* Source code: https://github.com/cran/MoonlightR -* URL: https://github.com/torongs82/Moonlight -* BugReports: https://github.com/torongs82/Moonlight/issues -* Date/Publication: 2019-05-27 -* Number of recursive dependencies: 234 +* Version: 1.3.5 +* Source code: https://github.com/cran/likert +* URL: http://jason.bryer.org/likert, http://github.com/jbryer/likert +* BugReports: https://github.com/jbryer/likert/issues +* Date/Publication: 2016-12-31 01:37:00 +* Number of recursive dependencies: 102 -Run `revdep_details(,"MoonlightR")` for more info +Run `cloud_details(, "likert")` for more info
## In both -* checking whether package ‘MoonlightR’ can be installed ... ERROR +* checking whether package ‘likert’ can be installed ... ERROR ``` Installation failed. - See ‘.../revdep/checks.noindex/MoonlightR/new/MoonlightR.Rcheck/00install.out’ for details. + See ‘/tmp/workdir/likert/new/likert.Rcheck/00install.out’ for details. ``` ## Installation @@ -942,118 +21001,133 @@ Run `revdep_details(,"MoonlightR")` for more info ### Devel ``` -* installing *source* package ‘MoonlightR’ ... +* installing *source* package ‘likert’ ... +** package ‘likert’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data -*** moving datasets to lazyload DB +** demo ** inst ** byte-compile and prepare package for lazy loading -Warning in fun(libname, pkgname) : couldn't connect to display "" Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) : - there is no package called ‘DO.db’ + there is no package called ‘mnormt’ Calls: ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted -ERROR: lazy loading failed for package ‘MoonlightR’ -* removing ‘.../revdep/checks.noindex/MoonlightR/new/MoonlightR.Rcheck/MoonlightR’ +ERROR: lazy loading failed for package ‘likert’ +* removing ‘/tmp/workdir/likert/new/likert.Rcheck/likert’ ``` ### CRAN ``` -* installing *source* package ‘MoonlightR’ ... +* installing *source* package ‘likert’ ... +** package ‘likert’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data -*** moving datasets to lazyload DB +** demo ** inst ** byte-compile and prepare package for lazy loading -Warning in fun(libname, pkgname) : couldn't connect to display "" Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) : - there is no package called ‘DO.db’ + there is no package called ‘mnormt’ Calls: ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted -ERROR: lazy loading failed for package ‘MoonlightR’ -* removing ‘.../revdep/checks.noindex/MoonlightR/old/MoonlightR.Rcheck/MoonlightR’ +ERROR: lazy loading failed for package ‘likert’ +* removing ‘/tmp/workdir/likert/old/likert.Rcheck/likert’ ``` -# SpaDES.core +# Luminescence
-* Version: 0.2.5 -* Source code: https://github.com/cran/SpaDES.core -* URL: http://spades-core.predictiveecology.org/, https://github.com/PredictiveEcology/SpaDES.core -* BugReports: https://github.com/PredictiveEcology/SpaDES.core/issues -* Date/Publication: 2019-03-19 05:43:37 UTC -* Number of recursive dependencies: 151 +* Version: 0.9.7 +* Source code: https://github.com/cran/Luminescence +* URL: https://CRAN.R-project.org/package=Luminescence +* BugReports: https://github.com/R-Lum/Luminescence/issues +* Date/Publication: 2020-01-08 23:02:25 UTC +* Number of recursive dependencies: 141 -Run `revdep_details(,"SpaDES.core")` for more info +Run `cloud_details(, "Luminescence")` for more info
-## Newly broken +## Error before installation -* checking installed package size ... NOTE - ``` - installed size is 5.6Mb - sub-directories of 1Mb or more: - R 3.1Mb - doc 1.6Mb - ``` +### Devel -## In both +``` +* using log directory ‘/tmp/workdir/Luminescence/new/Luminescence.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘Luminescence/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘Luminescence’ version ‘0.9.7’ +* package encoding: UTF-8 +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package required but not available: ‘XML’ + +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR + + + + + + +``` +### CRAN + +``` +* using log directory ‘/tmp/workdir/Luminescence/old/Luminescence.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘Luminescence/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘Luminescence’ version ‘0.9.7’ +* package encoding: UTF-8 +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package required but not available: ‘XML’ + +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR -* checking examples ... ERROR - ``` - ... - + .globals = list(stackName = "landscape", burnStats = "nPixelsBurned") - + ), - + modules = list("caribouMovement"), - + paths = list(modulePath = path) - + ) - Setting: - options( - spades.modulePath = '.../revdep/checks.noindex/SpaDES.core/new/SpaDES.core.Rcheck/SpaDES.core/sampleModules' - ) - Paths set to: - options( - reproducible.cachePath = '/var/folders/xn/m8dzdsgs7sg8q7jgflnqm8w80000gn/T/RtmpvqUB3y/reproducible/cache' - spades.inputPath = '/private/var/folders/dt/r5s12t392tb5sk181j3gs4zw0000gn/T/RtmpUfXsOm/SpaDES/inputs' - spades.outputPath = '/private/var/folders/dt/r5s12t392tb5sk181j3gs4zw0000gn/T/RtmpUfXsOm/SpaDES/outputs' - spades.modulePath = '.../revdep/checks.noindex/SpaDES.core/new/SpaDES.core.Rcheck/SpaDES.core/sampleModules' - ) - Warning in gzfile(file, mode) : - cannot open compressed file '/var/folders/xn/m8dzdsgs7sg8q7jgflnqm8w80000gn/T/RtmpvqUB3y/reproducible/cache/.Require/_Users_jhester_Dropbox_projects_devtools_revdep_checks.noindex_SpaDES.core_new_SpaDES.core.Rcheck.snapshot.RDS', probable reason 'No such file or directory' - Error in gzfile(file, mode) : cannot open the connection - Calls: simInit ... Require -> installedVersionsQuick -> saveRDS -> gzfile - Execution halted - ``` -* R CMD check timed out - -# StarBioTrek + + + +``` +# manifestoR
-* Version: 1.10.0 -* Source code: https://github.com/cran/StarBioTrek -* URL: https://github.com/claudiacava/StarBioTrek -* BugReports: https://github.com/claudiacava/StarBioTrek/issues -* Date/Publication: 2019-05-02 -* Number of recursive dependencies: 236 +* Version: 1.4.0 +* Source code: https://github.com/cran/manifestoR +* URL: https://github.com/ManifestoProject/manifestoR, https://manifesto-project.wzb.eu/ +* BugReports: https://github.com/ManifestoProject/manifestoR/issues +* Date/Publication: 2020-04-21 12:30:02 UTC +* Number of recursive dependencies: 105 -Run `revdep_details(,"StarBioTrek")` for more info +Run `cloud_details(, "manifestoR")` for more info
## In both -* checking whether package ‘StarBioTrek’ can be installed ... ERROR +* checking whether package ‘manifestoR’ can be installed ... ERROR ``` Installation failed. - See ‘.../revdep/checks.noindex/StarBioTrek/new/StarBioTrek.Rcheck/00install.out’ for details. + See ‘/tmp/workdir/manifestoR/new/manifestoR.Rcheck/00install.out’ for details. ``` ## Installation @@ -1061,141 +21135,533 @@ Run `revdep_details(,"StarBioTrek")` for more info ### Devel ``` -* installing *source* package ‘StarBioTrek’ ... +* installing *source* package ‘manifestoR’ ... +** package ‘manifestoR’ successfully unpacked and MD5 sums checked ** using staged installation ** R -** data -*** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading -Error in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]) : - there is no package called ‘miRNAtap.db’ +Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) : + there is no package called ‘mnormt’ Calls: ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted -ERROR: lazy loading failed for package ‘StarBioTrek’ -* removing ‘.../revdep/checks.noindex/StarBioTrek/new/StarBioTrek.Rcheck/StarBioTrek’ +ERROR: lazy loading failed for package ‘manifestoR’ +* removing ‘/tmp/workdir/manifestoR/new/manifestoR.Rcheck/manifestoR’ ``` ### CRAN ``` -* installing *source* package ‘StarBioTrek’ ... +* installing *source* package ‘manifestoR’ ... +** package ‘manifestoR’ successfully unpacked and MD5 sums checked ** using staged installation ** R -** data -*** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading -Error in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]) : - there is no package called ‘miRNAtap.db’ +Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) : + there is no package called ‘mnormt’ Calls: ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted -ERROR: lazy loading failed for package ‘StarBioTrek’ -* removing ‘.../revdep/checks.noindex/StarBioTrek/old/StarBioTrek.Rcheck/StarBioTrek’ +ERROR: lazy loading failed for package ‘manifestoR’ +* removing ‘/tmp/workdir/manifestoR/old/manifestoR.Rcheck/manifestoR’ ``` -# TCGAbiolinks +# metagam
-* Version: 2.12.2 -* Source code: https://github.com/cran/TCGAbiolinks -* URL: https://github.com/BioinformaticsFMRP/TCGAbiolinks -* BugReports: https://github.com/BioinformaticsFMRP/TCGAbiolinks/issues -* Date/Publication: 2019-06-14 -* Number of recursive dependencies: 252 +* Version: 0.1.2 +* Source code: https://github.com/cran/metagam +* URL: https://lifebrain.github.io/metagam/, https://github.com/Lifebrain/metagam +* BugReports: https://github.com/Lifebrain/metagam/issues +* Date/Publication: 2020-06-22 18:30:03 UTC +* Number of recursive dependencies: 143 -Run `revdep_details(,"TCGAbiolinks")` for more info +Run `cloud_details(, "metagam")` for more info
-## In both +## Error before installation -* R CMD check timed out - +### Devel -* checking whether package ‘TCGAbiolinks’ can be installed ... WARNING - ``` - Found the following significant warnings: - Warning: objects ‘.Random.seed’, ‘.Random.seed’, ‘.Random.seed’, ‘.Random.seed’, ‘.Random.seed’, ‘.Random.seed’, ‘.Random.seed’, ‘.Random.seed’, ‘.Random.seed’ are created by more than one data call - See ‘.../revdep/checks.noindex/TCGAbiolinks/new/TCGAbiolinks.Rcheck/00install.out’ for details. - ``` +``` +* using log directory ‘/tmp/workdir/metagam/new/metagam.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘metagam/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘metagam’ version ‘0.1.2’ +* package encoding: UTF-8 +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package required but not available: ‘metap’ -* checking for missing documentation entries ... WARNING - ``` - Undocumented data sets: - ‘.Random.seed’ - All user-level objects in a package should have documentation entries. - See chapter ‘Writing R documentation files’ in the ‘Writing R - Extensions’ manual. - ``` +Package suggested but not available: ‘multtest’ + +The suggested packages are required for a complete check. +Checking can be attempted without them by setting the environment +variable _R_CHECK_FORCE_SUGGESTS_ to a false value. + +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR + + + + + + +``` +### CRAN + +``` +* using log directory ‘/tmp/workdir/metagam/old/metagam.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘metagam/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘metagam’ version ‘0.1.2’ +* package encoding: UTF-8 +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package required but not available: ‘metap’ + +Package suggested but not available: ‘multtest’ + +The suggested packages are required for a complete check. +Checking can be attempted without them by setting the environment +variable _R_CHECK_FORCE_SUGGESTS_ to a false value. + +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR -* checking package dependencies ... NOTE - ``` - Package suggested but not available for checking: ‘dnet’ - ``` -* checking installed package size ... NOTE - ``` - installed size is 97.0Mb - sub-directories of 1Mb or more: - R 2.7Mb - data 4.3Mb - doc 89.8Mb - ``` -* checking dependencies in R code ... NOTE - ``` - There are ::: calls to the package's namespace in its code. A package - almost never needs to use ::: for its own objects: - ‘move’ - ``` -* checking R code for possible problems ... NOTE - ``` - ... - (.../revdep/checks.noindex/TCGAbiolinks/new/TCGAbiolinks.Rcheck/00_pkg_src/TCGAbiolinks/R/visualize.R:161-162) - TCGAvisualize_SurvivalCoxNET: no visible global function definition for - ‘dCommSignif’ - (.../revdep/checks.noindex/TCGAbiolinks/new/TCGAbiolinks.Rcheck/00_pkg_src/TCGAbiolinks/R/visualize.R:174) - TCGAvisualize_SurvivalCoxNET: no visible global function definition for - ‘visNet’ - (.../revdep/checks.noindex/TCGAbiolinks/new/TCGAbiolinks.Rcheck/00_pkg_src/TCGAbiolinks/R/visualize.R:184-189) - TCGAvisualize_oncoprint: no visible binding for global variable ‘value’ - (.../revdep/checks.noindex/TCGAbiolinks/new/TCGAbiolinks.Rcheck/00_pkg_src/TCGAbiolinks/R/visualize.R:932) - readExonQuantification: no visible binding for global variable ‘exon’ - (.../revdep/checks.noindex/TCGAbiolinks/new/TCGAbiolinks.Rcheck/00_pkg_src/TCGAbiolinks/R/prepare.R:236-237) - readExonQuantification: no visible binding for global variable - ‘coordinates’ - (.../revdep/checks.noindex/TCGAbiolinks/new/TCGAbiolinks.Rcheck/00_pkg_src/TCGAbiolinks/R/prepare.R:236-237) - readIDATDNAmethylation: no visible global function definition for - ‘openSesame’ - (.../revdep/checks.noindex/TCGAbiolinks/new/TCGAbiolinks.Rcheck/00_pkg_src/TCGAbiolinks/R/prepare.R:526) - Undefined global functions or variables: - Tumor.purity barcode c3net clinical coordinates dCommSignif - dNetInduce dNetPipeline exon knnmi.cross limmacontrasts.fit - limmamakeContrasts minet openSesame portions rse_gene value visNet - ``` -# TCGAbiolinksGUI + +``` +# NMF + +
+ +* Version: 0.22.0 +* Source code: https://github.com/cran/NMF +* URL: http://renozao.github.io/NMF +* Date/Publication: 2020-02-12 12:40:02 UTC +* Number of recursive dependencies: 117 + +Run `cloud_details(, "NMF")` for more info + +
+ +## Error before installation + +### Devel + +``` +* using log directory ‘/tmp/workdir/NMF/new/NMF.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘NMF/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘NMF’ version ‘0.22.0’ +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package required but not available: ‘Biobase’ + +Package suggested but not available: ‘doMPI’ + +The suggested packages are required for a complete check. +Checking can be attempted without them by setting the environment +variable _R_CHECK_FORCE_SUGGESTS_ to a false value. + +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR + + + + + + +``` +### CRAN + +``` +* using log directory ‘/tmp/workdir/NMF/old/NMF.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘NMF/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘NMF’ version ‘0.22.0’ +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package required but not available: ‘Biobase’ + +Package suggested but not available: ‘doMPI’ + +The suggested packages are required for a complete check. +Checking can be attempted without them by setting the environment +variable _R_CHECK_FORCE_SUGGESTS_ to a false value. + +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR + + + + + + +``` +# osmplotr + +
+ +* Version: 0.3.2 +* Source code: https://github.com/cran/osmplotr +* URL: https://github.com/ropensci/osmplotr +* BugReports: https://github.com/ropensci/osmplotr/issues +* Date/Publication: 2018-12-19 13:40:03 UTC +* Number of recursive dependencies: 117 + +Run `cloud_details(, "osmplotr")` for more info + +
+ +## Error before installation + +### Devel + +``` +* using log directory ‘/tmp/workdir/osmplotr/new/osmplotr.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘osmplotr/DESCRIPTION’ ... OK +* this is package ‘osmplotr’ version ‘0.3.2’ +* package encoding: UTF-8 +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package required but not available: ‘ggm’ + +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR + + + + + + +``` +### CRAN + +``` +* using log directory ‘/tmp/workdir/osmplotr/old/osmplotr.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘osmplotr/DESCRIPTION’ ... OK +* this is package ‘osmplotr’ version ‘0.3.2’ +* package encoding: UTF-8 +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package required but not available: ‘ggm’ + +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR + + + + + + +``` +# outsider.base
-* Version: 1.10.0 -* Source code: https://github.com/cran/TCGAbiolinksGUI -* Date/Publication: 2019-05-02 -* Number of recursive dependencies: 294 +* Version: 0.1.3 +* Source code: https://github.com/cran/outsider.base +* URL: https://docs.ropensci.org/outsider.base, https://github.com/ropensci/outsider.base +* BugReports: https://github.com/ropensci/outsider.base/issues +* Date/Publication: 2020-06-14 14:40:13 UTC +* Number of recursive dependencies: 78 -Run `revdep_details(,"TCGAbiolinksGUI")` for more info +Run `cloud_details(, "outsider.base")` for more info + +
+ +## Error before installation + +### Devel + +``` +* using log directory ‘/tmp/workdir/outsider.base/new/outsider.base.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘outsider.base/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘outsider.base’ version ‘0.1.3’ +* package encoding: UTF-8 +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package suggested but not available: ‘ssh’ + +The suggested packages are required for a complete check. +Checking can be attempted without them by setting the environment +variable _R_CHECK_FORCE_SUGGESTS_ to a false value. + +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR + + + + + + +``` +### CRAN + +``` +* using log directory ‘/tmp/workdir/outsider.base/old/outsider.base.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘outsider.base/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘outsider.base’ version ‘0.1.3’ +* package encoding: UTF-8 +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package suggested but not available: ‘ssh’ + +The suggested packages are required for a complete check. +Checking can be attempted without them by setting the environment +variable _R_CHECK_FORCE_SUGGESTS_ to a false value. + +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR + + + + + + +``` +# SpaDES.addins + +
+ +* Version: 0.1.2 +* Source code: https://github.com/cran/SpaDES.addins +* URL: http://spades-addins.predictiveecology.org/, https://github.com/PredictiveEcology/SpaDES.addins +* BugReports: https://github.com/PredictiveEcology/SpaDES.addins/issues +* Date/Publication: 2019-02-03 20:13:20 UTC +* Number of recursive dependencies: 139 + +Run `cloud_details(, "SpaDES.addins")` for more info + +
+ +## Error before installation + +### Devel + +``` +* using log directory ‘/tmp/workdir/SpaDES.addins/new/SpaDES.addins.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘SpaDES.addins/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘SpaDES.addins’ version ‘0.1.2’ +* package encoding: UTF-8 +* checking package namespace information ... OK +* checking package dependencies ... OK +* checking if this is a source package ... OK +* checking if there is a namespace ... OK +* checking for executable files ... OK +* checking for hidden files and directories ... OK +* checking for portable file names ... OK +* checking for sufficient/correct file permissions ... OK +* checking whether package ‘SpaDES.addins’ can be installed ... ERROR +Installation failed. +See ‘/tmp/workdir/SpaDES.addins/new/SpaDES.addins.Rcheck/00install.out’ for details. +* DONE +Status: 1 ERROR + + + + + + +``` +### CRAN + +``` +* using log directory ‘/tmp/workdir/SpaDES.addins/old/SpaDES.addins.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘SpaDES.addins/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘SpaDES.addins’ version ‘0.1.2’ +* package encoding: UTF-8 +* checking package namespace information ... OK +* checking package dependencies ... OK +* checking if this is a source package ... OK +* checking if there is a namespace ... OK +* checking for executable files ... OK +* checking for hidden files and directories ... OK +* checking for portable file names ... OK +* checking for sufficient/correct file permissions ... OK +* checking whether package ‘SpaDES.addins’ can be installed ... ERROR +Installation failed. +See ‘/tmp/workdir/SpaDES.addins/old/SpaDES.addins.Rcheck/00install.out’ for details. +* DONE +Status: 1 ERROR + + + + + + +``` +# SpaDES.core + +
+ +* Version: 1.0.1 +* Source code: https://github.com/cran/SpaDES.core +* URL: https://spades-core.predictiveecology.org/, https://github.com/PredictiveEcology/SpaDES.core +* BugReports: https://github.com/PredictiveEcology/SpaDES.core/issues +* Date/Publication: 2020-05-15 17:10:06 UTC +* Number of recursive dependencies: 156 + +Run `cloud_details(, "SpaDES.core")` for more info + +
+ +## Error before installation + +### Devel + +``` +* using log directory ‘/tmp/workdir/SpaDES.core/new/SpaDES.core.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘SpaDES.core/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘SpaDES.core’ version ‘1.0.1’ +* package encoding: UTF-8 +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package required but not available: ‘qs’ + +Package suggested but not available: ‘SpaDES.tools’ + +The suggested packages are required for a complete check. +Checking can be attempted without them by setting the environment +variable _R_CHECK_FORCE_SUGGESTS_ to a false value. + +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR + + + + + + +``` +### CRAN + +``` +* using log directory ‘/tmp/workdir/SpaDES.core/old/SpaDES.core.Rcheck’ +* using R version 3.6.3 (2020-02-29) +* using platform: x86_64-pc-linux-gnu (64-bit) +* using session charset: UTF-8 +* using options ‘--no-manual --no-build-vignettes’ +* checking for file ‘SpaDES.core/DESCRIPTION’ ... OK +* checking extension type ... Package +* this is package ‘SpaDES.core’ version ‘1.0.1’ +* package encoding: UTF-8 +* checking package namespace information ... OK +* checking package dependencies ... ERROR +Package required but not available: ‘qs’ + +Package suggested but not available: ‘SpaDES.tools’ + +The suggested packages are required for a complete check. +Checking can be attempted without them by setting the environment +variable _R_CHECK_FORCE_SUGGESTS_ to a false value. + +See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ +manual. +* DONE +Status: 1 ERROR + + + + + + +``` +# vegtable + +
+ +* Version: 0.1.6 +* Source code: https://github.com/cran/vegtable +* URL: https://github.com/kamapu/vegtable +* BugReports: https://github.com/kamapu/vegtable/issues +* Date/Publication: 2020-04-30 13:00:02 UTC +* Number of recursive dependencies: 157 + +Run `cloud_details(, "vegtable")` for more info
## In both -* checking whether package ‘TCGAbiolinksGUI’ can be installed ... ERROR +* checking whether package ‘vegtable’ can be installed ... ERROR ``` Installation failed. - See ‘.../revdep/checks.noindex/TCGAbiolinksGUI/new/TCGAbiolinksGUI.Rcheck/00install.out’ for details. + See ‘/tmp/workdir/vegtable/new/vegtable.Rcheck/00install.out’ for details. ``` ## Installation @@ -1203,32 +21669,38 @@ Run `revdep_details(,"TCGAbiolinksGUI")` for more info ### Devel ``` -* installing *source* package ‘TCGAbiolinksGUI’ ... +* installing *source* package ‘vegtable’ ... +** package ‘vegtable’ successfully unpacked and MD5 sums checked ** using staged installation ** R +** data +*** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading -Error in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]) : - there is no package called ‘ELMER.data’ +Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) : + there is no package called ‘XML’ Calls: ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted -ERROR: lazy loading failed for package ‘TCGAbiolinksGUI’ -* removing ‘.../revdep/checks.noindex/TCGAbiolinksGUI/new/TCGAbiolinksGUI.Rcheck/TCGAbiolinksGUI’ +ERROR: lazy loading failed for package ‘vegtable’ +* removing ‘/tmp/workdir/vegtable/new/vegtable.Rcheck/vegtable’ ``` ### CRAN ``` -* installing *source* package ‘TCGAbiolinksGUI’ ... +* installing *source* package ‘vegtable’ ... +** package ‘vegtable’ successfully unpacked and MD5 sums checked ** using staged installation ** R +** data +*** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading -Error in loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]]) : - there is no package called ‘ELMER.data’ +Error in loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) : + there is no package called ‘XML’ Calls: ... loadNamespace -> withRestarts -> withOneRestart -> doWithOneRestart Execution halted -ERROR: lazy loading failed for package ‘TCGAbiolinksGUI’ -* removing ‘.../revdep/checks.noindex/TCGAbiolinksGUI/old/TCGAbiolinksGUI.Rcheck/TCGAbiolinksGUI’ +ERROR: lazy loading failed for package ‘vegtable’ +* removing ‘/tmp/workdir/vegtable/old/vegtable.Rcheck/vegtable’ ``` diff --git a/revdep/problems.md b/revdep/problems.md index 108014e5a..7613dd956 100644 --- a/revdep/problems.md +++ b/revdep/problems.md @@ -1,252 +1,46 @@ -# available +# rfishbase
-* Version: 1.0.2 -* Source code: https://github.com/cran/available -* URL: https://github.com/ropenscilabs/available -* BugReports: https://github.com/ropenscilabs/available/issues -* Date/Publication: 2018-11-08 15:40:18 UTC -* Number of recursive dependencies: 73 +* Version: 3.0.4 +* Source code: https://github.com/cran/rfishbase +* URL: https://github.com/ropensci/rfishbase +* BugReports: https://github.com/ropensci/rfishbase/issues +* Date/Publication: 2019-06-27 21:50:03 UTC +* Number of recursive dependencies: 83 -Run `revdep_details(,"available")` for more info +Run `cloud_details(, "rfishbase")` for more info
## Newly broken -* checking dependencies in R code ... NOTE +* checking tests ... ERROR ``` - Missing or unexported object: ‘devtools::create’ - ``` - -## In both - -* checking package dependencies ... NOTE - ``` - Package suggested but not available for checking: ‘BiocInstaller’ - ``` - -# BiocWorkflowTools - -
- -* Version: 1.10.0 -* Source code: https://github.com/cran/BiocWorkflowTools -* Date/Publication: 2019-05-02 -* Number of recursive dependencies: 57 - -Run `revdep_details(,"BiocWorkflowTools")` for more info - -
- -## Newly broken - -* checking Rd cross-references ... WARNING - ``` - Missing link or links in documentation object 'createBiocWorkflow.Rd': - ‘create’ - - See section 'Cross-references' in the 'Writing R Extensions' manual. - ``` - -## In both - -* checking dependencies in R code ... NOTE - ``` - Namespace in Imports field not imported from: ‘devtools’ - All declared Imports should be used. - Unexported objects imported by ':::' calls: - ‘BiocStyle:::auth_affil_latex’ ‘BiocStyle:::modifyLines’ - ‘rmarkdown:::partition_yaml_front_matter’ - See the note in ?`:::` about the use of this operator. - ``` - -# googleAuthR - -
- -* Version: 0.8.0 -* Source code: https://github.com/cran/googleAuthR -* URL: http://code.markedmondson.me/googleAuthR/ -* BugReports: https://github.com/MarkEdmondson1234/googleAuthR/issues -* Date/Publication: 2019-06-30 15:00:03 UTC -* Number of recursive dependencies: 88 - -Run `revdep_details(,"googleAuthR")` for more info - -
- -## Newly broken - -* checking Rd cross-references ... WARNING - ``` - Missing link or links in documentation object 'gar_create_package.Rd': - ‘[devtools]{create}’ ‘[devtools]{use_github}’ - - See section 'Cross-references' in the 'Writing R Extensions' manual. - ``` - -## In both - -* checking dependencies in R code ... NOTE - ``` - Namespace in Imports field not imported from: ‘R6’ - All declared Imports should be used. - Missing or unexported objects: - ‘devtools::create’ ‘devtools::use_github’ - ``` - -# packagedocs - -
- -* Version: 0.4.0 -* Source code: https://github.com/cran/packagedocs -* URL: http://hafen.github.io/packagedocs, https://github.com/hafen/packagedocs -* BugReports: https://github.com/hafen/packagedocs/issues -* Date/Publication: 2016-11-04 00:41:33 -* Number of recursive dependencies: 59 - -Run `revdep_details(,"packagedocs")` for more info - -
- -## Newly broken - -* checking dependencies in R code ... NOTE - ``` - Missing or unexported objects: - ‘devtools::use_build_ignore’ ‘devtools::use_travis’ - ``` - -# soilcarbon - -
- -* Version: 1.2.0 -* Source code: https://github.com/cran/soilcarbon -* URL: https://powellcenter-soilcarbon.github.io/soilcarbon/ -* BugReports: https://github.com/powellcenter-soilcarbon/soilcarbon/issues -* Date/Publication: 2017-08-04 03:17:31 UTC -* Number of recursive dependencies: 86 - -Run `revdep_details(,"soilcarbon")` for more info - -
- -## Newly broken - -* checking R code for possible problems ... NOTE - ``` - compileDatabase: no visible global function definition for ‘use_data’ - (.../revdep/checks.noindex/soilcarbon/new/soilcarbon.Rcheck/00_pkg_src/soilcarbon/R/compileDatabase.R:30) - Undefined global functions or variables: - use_data + Running ‘testthat.R’ + Running the tests in ‘tests/testthat.R’ failed. + Last 13 lines of output: + Backtrace: + 1. rfishbase::species_list(Genus = "Labroides") + 2. rfishbase::load_taxa(server) + 4. rfishbase:::`_f`(server = server, ... = ...) + 5. rfishbase:::fb_taxa_table(server) + 6. rfishbase:::fb_tbl("genera", server) + 8. rfishbase:::`_f`(tbl = tbl, server = server, ... = ...) + 9. utils::download.file(addr, tmp, quiet = TRUE) + + ══ testthat results ═══════════════════════════════════════════════════════════ + [ OK: 7 | SKIPPED: 20 | WARNINGS: 1 | FAILED: 1 ] + 1. Error: We can pass a species_list based on taxanomic group (@test_species_list.R#5) + + Error: testthat unit tests failed + Execution halted ``` ## In both * checking data for non-ASCII characters ... NOTE ``` - Note: found 145 marked UTF-8 strings - ``` - -# SpaDES.core - -
- -* Version: 0.2.5 -* Source code: https://github.com/cran/SpaDES.core -* URL: http://spades-core.predictiveecology.org/, https://github.com/PredictiveEcology/SpaDES.core -* BugReports: https://github.com/PredictiveEcology/SpaDES.core/issues -* Date/Publication: 2019-03-19 05:43:37 UTC -* Number of recursive dependencies: 151 - -Run `revdep_details(,"SpaDES.core")` for more info - -
- -## Newly broken - -* checking installed package size ... NOTE - ``` - installed size is 5.6Mb - sub-directories of 1Mb or more: - R 3.1Mb - doc 1.6Mb - ``` - -## In both - -* checking examples ... ERROR - ``` - ... - + .globals = list(stackName = "landscape", burnStats = "nPixelsBurned") - + ), - + modules = list("caribouMovement"), - + paths = list(modulePath = path) - + ) - Setting: - options( - spades.modulePath = '.../revdep/checks.noindex/SpaDES.core/new/SpaDES.core.Rcheck/SpaDES.core/sampleModules' - ) - Paths set to: - options( - reproducible.cachePath = '/var/folders/xn/m8dzdsgs7sg8q7jgflnqm8w80000gn/T/RtmpvqUB3y/reproducible/cache' - spades.inputPath = '/private/var/folders/dt/r5s12t392tb5sk181j3gs4zw0000gn/T/RtmpUfXsOm/SpaDES/inputs' - spades.outputPath = '/private/var/folders/dt/r5s12t392tb5sk181j3gs4zw0000gn/T/RtmpUfXsOm/SpaDES/outputs' - spades.modulePath = '.../revdep/checks.noindex/SpaDES.core/new/SpaDES.core.Rcheck/SpaDES.core/sampleModules' - ) - Warning in gzfile(file, mode) : - cannot open compressed file '/var/folders/xn/m8dzdsgs7sg8q7jgflnqm8w80000gn/T/RtmpvqUB3y/reproducible/cache/.Require/_Users_jhester_Dropbox_projects_devtools_revdep_checks.noindex_SpaDES.core_new_SpaDES.core.Rcheck.snapshot.RDS', probable reason 'No such file or directory' - Error in gzfile(file, mode) : cannot open the connection - Calls: simInit ... Require -> installedVersionsQuick -> saveRDS -> gzfile - Execution halted - ``` - -* R CMD check timed out - - -# understandBPMN - -
- -* Version: 1.1.0 -* Source code: https://github.com/cran/understandBPMN -* Date/Publication: 2018-06-08 15:15:35 UTC -* Number of recursive dependencies: 72 - -Run `revdep_details(,"understandBPMN")` for more info - -
- -## Newly broken - -* checking dependencies in R code ... NOTE - ``` - Missing or unexported object: ‘devtools::use_data’ - ``` - -# zebu - -
- -* Version: 0.1.2 -* Source code: https://github.com/cran/zebu -* URL: http://github.com/oliviermfmartin/zebu -* BugReports: https://github.com/oliviermfmartin/zebu/issues -* Date/Publication: 2017-10-24 14:05:08 UTC -* Number of recursive dependencies: 80 - -Run `revdep_details(,"zebu")` for more info - -
- -## Newly broken - -* checking dependencies in R code ... NOTE - ``` - Missing or unexported object: ‘devtools::use_data’ + Note: found 44 marked UTF-8 strings ```