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Estimation by full likelihood i.e. not observed likelihood
Link functions in family functions
Additional measures for intercept only models to make them faster
Quality of life improvements:
Prior weights as population counts
Class for multiple models
Multithreading (or possibly julia backend if it will be easier) in bootstrap and multiplication of $\boldsymbol{W}_{k}$ matrixes with pseudo-residuals and simulation of information information matrixes in negative binomials
Update the simulate.singleR method and create simulate.singleRfamily, update.singleR methods.
singleRcapture
version 0.3.0Refactor code to make it easier to implement non standard approaches:
singleR
(currently only one for standard implemented frequentist count modelling later add class for bayesian and mixed effects)Further diagnostic information:
Fitting:
brglm2
Quality of life improvements:
julia
backend if it will be easier) in bootstrap and multiplication ofsimulate.singleR
method and createsimulate.singleRfamily
,update.singleR
methods.Compatibility:
singleR
classModels:
Moved to singleRcaptureExtra package:
vglm
zerotrunc
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