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"Description": "A database interface definition for communication\n between R and relational database management systems. All classes in\n this package are virtual and need to be extended by the various R/DBMS\n implementations.",
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"Suggests": "blob, covr, dbplyr, dplyr, glue, hms, knitr, magrittr,\nrmarkdown, rprojroot, RMariaDB, RSQLite (>= 1.1-2), testthat,\nxml2",
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"Packaged": "2021-01-05 05:09:32 UTC; kirill",
"Author": "R Special Interest Group on Databases (R-SIG-DB) [aut],\n Hadley Wickham [aut],\n Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>),\n R Consortium [fnd]",
"Maintainer": "Kirill Müller <[email protected]>",
"Repository": "CRAN",
"Date/Publication": "2021-01-15 10:10:07 UTC",
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"description": {
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"Description": "\n Build graph/network structures using functions for stepwise addition and\n deletion of nodes and edges. Work with data available in tables for bulk\n addition of nodes, edges, and associated metadata. Use graph selections\n and traversals to apply changes to specific nodes or edges. A wide\n selection of graph algorithms allow for the analysis of graphs. Visualize\n the graphs and take advantage of any aesthetic properties assigned to\n nodes and edges.",
"License": "MIT + file LICENSE",
"URL": "https://github.com/rich-iannone/DiagrammeR",
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"description": {
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"Type": "Package",
"Title": "Generalized Simulated Annealing",
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"Date": "2018-01-15",
"Author": "Sylvain Gubian, Yang Xiang, Brian Suomela, Julia Hoeng, PMP SA.",
"Maintainer": "Sylvain Gubian <[email protected]>",
"Depends": "R (>= 2.12.0)",
"Description": "Performs search for global minimum of a very complex non-linear\n objective function with a very large number of optima.",
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"RoxygenNote": "5.0.1",
"Packaged": "2018-01-17 07:56:50 UTC; sgubian",
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"description": {
"Package": "Kendall",
"Version": "2.2",
"Date": "2011-05-16",
"Title": "Kendall rank correlation and Mann-Kendall trend test",
"Author": "A.I. McLeod",
"Maintainer": "A.I. McLeod <[email protected]>",
"Depends": "R (>= 2.1.0)",
"Description": "Computes the Kendall rank correlation and Mann-Kendall\n trend test. See documentation for use of block bootstrap when\n there is autocorrelation.",
"Imports": "boot",
"LazyLoad": "yes",
"LazyData": "yes",
"Classification/ACM": "G.3, G.4, I.5.1",
"Classification/MSC": "62M10, 91B84",
"License": "GPL (>= 2)",
"URL": "http://www.stats.uwo.ca/faculty/aim",
"Repository": "CRAN",
"Date/Publication": "2011-05-18 04:53:55",
"Packaged": "2011-05-17 19:08:07 UTC; aim",
"Built": "R 4.1.0; x86_64-apple-darwin17.0; 2021-05-26 00:33:20 UTC; unix"
}
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"description": {
"Package": "MASS",
"Priority": "recommended",
"Version": "7.3-55",
"Date": "2022-01-12",
"Revision": "$Rev: 3559 $",
"Depends": "R (>= 3.3.0), grDevices, graphics, stats, utils",
"Imports": "methods",
"Suggests": "lattice, nlme, nnet, survival",
"Authors@R": "c(person(\"Brian\", \"Ripley\", role = c(\"aut\", \"cre\", \"cph\"),\n email = \"[email protected]\"),\n\t person(\"Bill\", \"Venables\", role = \"ctb\"),\n\t person(c(\"Douglas\", \"M.\"), \"Bates\", role = \"ctb\"),\n\t person(\"Kurt\", \"Hornik\", role = \"trl\",\n comment = \"partial port ca 1998\"),\n\t person(\"Albrecht\", \"Gebhardt\", role = \"trl\",\n comment = \"partial port ca 1998\"),\n\t person(\"David\", \"Firth\", role = \"ctb\"))",
"Description": "Functions and datasets to support Venables and Ripley,\n \"Modern Applied Statistics with S\" (4th edition, 2002).",
"Title": "Support Functions and Datasets for Venables and Ripley's MASS",
"LazyData": "yes",
"ByteCompile": "yes",
"License": "GPL-2 | GPL-3",
"URL": "http://www.stats.ox.ac.uk/pub/MASS4/",
"Contact": "<[email protected]>",
"NeedsCompilation": "yes",
"Packaged": "2022-01-13 05:06:37 UTC; ripley",
"Author": "Brian Ripley [aut, cre, cph],\n Bill Venables [ctb],\n Douglas M. Bates [ctb],\n Kurt Hornik [trl] (partial port ca 1998),\n Albrecht Gebhardt [trl] (partial port ca 1998),\n David Firth [ctb]",
"Maintainer": "Brian Ripley <[email protected]>",
"Repository": "CRAN",
"Date/Publication": "2022-01-16 10:24:09 UTC",
"Built": "R 4.1.3; x86_64-apple-darwin17.0; 2022-03-11 01:18:17 UTC; unix"
}
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"Matrix": {
"Source": "CRAN",
"Repository": "https://cran.rstudio.com/",
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"description": {
"Package": "Matrix",
"Version": "1.4-0",
"Date": "2021-12-08",
"Priority": "recommended",
"Title": "Sparse and Dense Matrix Classes and Methods",
"Contact": "Doug and Martin <[email protected]>",
"Maintainer": "Martin Maechler <[email protected]>",
"Authors@R": "c(person(\"Douglas\",\"Bates\", role=\"aut\")\n , person(\"Martin\",\"Maechler\", role = c(\"aut\",\"cre\"), email=\"[email protected]\",\n comment = c(ORCID = \"0000-0002-8685-9910\"))\n , person(\"Timothy A.\", \"Davis\", role=\"ctb\",\n comment = c(\"SuiteSparse and 'cs' C libraries, notably CHOLMOD, AMD;\n\t\t collaborators listed in\n\t\t\tdir(pattern = '^[A-Z]+[.]txt$', full.names=TRUE,\n\t\t\t system.file('doc', 'SuiteSparse', package='Matrix'))\"))\n , person(\"Jens\", \"Oehlschlägel\", role=\"ctb\", comment=\"initial nearPD()\")\n , person(\"Jason\", \"Riedy\", role=\"ctb\",\n comment = c(\"condest() and onenormest() for octave\",\n \t \t \"Copyright: Regents of the University of California\"))\n , person(\"R Core Team\", role = \"ctb\", comment=\"base R matrix implementation\")\n )",
"Description": "A rich hierarchy of matrix classes, including triangular,\n symmetric, and diagonal matrices, both dense and sparse and with\n pattern, logical and numeric entries. Numerous methods for and\n operations on these matrices, using 'LAPACK' and 'SuiteSparse' libraries.",
"Depends": "R (>= 3.5.0)",
"Imports": "methods, graphics, grid, stats, utils, lattice",
"Suggests": "expm, MASS",
"Enhances": "MatrixModels, graph, SparseM, sfsmisc, igraph, maptools, sp,\nspdep",
"EnhancesNote": "line 2: for \"Rd xrefs\"",
"Encoding": "UTF-8",
"LazyData": "no",
"LazyDataNote": "not possible, since we use data/*.R *and* our classes",
"BuildResaveData": "no",
"License": "GPL (>= 2) | file LICENCE",
"URL": "https://Matrix.R-forge.R-project.org/,\nhttps://Matrix.R-forge.R-project.org/doxygen/",
"BugReports": "https://R-forge.R-project.org/tracker/?atid=294?group_id=61",
"Author": "Douglas Bates [aut],\n Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>),\n Timothy A. Davis [ctb] (SuiteSparse and 'cs' C libraries, notably\n CHOLMOD, AMD; collaborators listed in dir(pattern =\n '^[A-Z]+[.]txt$', full.names=TRUE, system.file('doc',\n 'SuiteSparse', package='Matrix'))),\n Jens Oehlschlägel [ctb] (initial nearPD()),\n Jason Riedy [ctb] (condest() and onenormest() for octave, Copyright:\n Regents of the University of California),\n R Core Team [ctb] (base R matrix implementation)",
"Repository": "CRAN",
"Repository/R-Forge/Project": "matrix",
"Repository/R-Forge/Revision": "3419",
"Repository/R-Forge/DateTimeStamp": "2021-12-08 17:23:53",
"Date/Publication": "2021-12-08 21:10:02 UTC",
"NeedsCompilation": "yes",
"Packaged": "2021-12-08 17:30:00 UTC; rforge",
"Built": "R 4.1.3; x86_64-apple-darwin17.0; 2022-03-11 01:18:26 UTC; unix"
}
},
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"Source": "CRAN",
"Repository": "https://cran.rstudio.com/",
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"description": {
"Package": "R.methodsS3",
"Version": "1.8.1",
"Depends": "R (>= 2.13.0)",
"Imports": "utils",
"Suggests": "codetools",
"Title": "S3 Methods Simplified",
"Authors@R": "c(person(\"Henrik\", \"Bengtsson\", role=c(\"aut\", \"cre\", \"cph\"),\n email = \"[email protected]\"))",
"Author": "Henrik Bengtsson [aut, cre, cph]",
"Maintainer": "Henrik Bengtsson <[email protected]>",
"Description": "Methods that simplify the setup of S3 generic functions and S3 methods. Major effort has been made in making definition of methods as simple as possible with a minimum of maintenance for package developers. For example, generic functions are created automatically, if missing, and naming conflict are automatically solved, if possible. The method setMethodS3() is a good start for those who in the future may want to migrate to S4. This is a cross-platform package implemented in pure R that generates standard S3 methods.",
"License": "LGPL (>= 2.1)",
"LazyLoad": "TRUE",
"URL": "https://github.com/HenrikBengtsson/R.methodsS3",
"BugReports": "https://github.com/HenrikBengtsson/R.methodsS3/issues",
"NeedsCompilation": "no",
"Packaged": "2020-08-24 14:42:23 UTC; hb",
"Repository": "CRAN",
"Date/Publication": "2020-08-26 16:20:06 UTC",
"Built": "R 4.1.0; ; 2021-07-12 06:41:40 UTC; unix"
}
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"description": {
"Package": "R.oo",
"Version": "1.24.0",
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"Title": "A S3 Class for Vectors of 64bit Integers",
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"Date": "2020-08-29",
"Author": "Jens Oehlschlägel [aut, cre], Leonardo Silvestri [ctb]",
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"Description": "\n Package 'bit64' provides serializable S3 atomic 64bit (signed) integers. \n These are useful for handling database keys and exact counting in +-2^63.\n WARNING: do not use them as replacement for 32bit integers, integer64 are not\n supported for subscripting by R-core and they have different semantics when \n combined with double, e.g. integer64 + double => integer64. \n Class integer64 can be used in vectors, matrices, arrays and data.frames. \n Methods are available for coercion from and to logicals, integers, doubles, \n characters and factors as well as many elementwise and summary functions. \n Many fast algorithmic operations such as 'match' and 'order' support inter-\n active data exploration and manipulation and optionally leverage caching.",
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"URL": "https://github.com/truecluster/bit64",
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"Author": "S original by Steve Dutky <[email protected]> initial R\n port and extensions by Martin Maechler; revised and modified\n by Steve Dutky",
"Maintainer": "Martin Maechler <[email protected]>",
"Title": "Bitwise Operations",
"Description": "Functions for bitwise operations on integer vectors.",
"License": "GPL (>= 2)",
"URL": "https://github.com/mmaechler/R-bitops",
"BugReports": "https://github.com/mmaechler/R-bitops/issues",
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"Description": "R's raw vector is useful for storing a single\n binary object. What if you want to put a vector of them in a data\n frame? The 'blob' package provides the blob object, a list of raw\n vectors, suitable for use as a column in data frame.",
"License": "MIT + file LICENSE",
"URL": "https://blob.tidyverse.org, https://github.com/tidyverse/blob",
"BugReports": "https://github.com/tidyverse/blob/issues",
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"Authors@R": "c(person(\"Angelo\", \"Canty\", role = \"aut\",\n\t email = \"[email protected]\"),\n person(\"Brian\", \"Ripley\", role = c(\"aut\", \"trl\", \"cre\"),\n email = \"[email protected]\",\n\t\t comment = \"author of parallel support\"))",
"Maintainer": "Brian Ripley <[email protected]>",
"Note": "Maintainers are not available to give advice on using a package\nthey did not author.",
"Description": "Functions and datasets for bootstrapping from the\n book \"Bootstrap Methods and Their Application\" by A. C. Davison and \n D. V. Hinkley (1997, CUP), originally written by Angelo Canty for S.",
"Title": "Bootstrap Functions (Originally by Angelo Canty for S)",
"Depends": "R (>= 3.0.0), graphics, stats",
"Suggests": "MASS, survival",
"LazyData": "yes",
"ByteCompile": "yes",
"License": "Unlimited",
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"Packaged": "2021-05-03 08:32:03 UTC; ripley",
"Author": "Angelo Canty [aut],\n Brian Ripley [aut, trl, cre] (author of parallel support)",
"Repository": "CRAN",
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"Description": "Summarizes key information about statistical\n objects in tidy tibbles. This makes it easy to report results, create\n plots and consistently work with large numbers of models at once.\n Broom provides three verbs that each provide different types of\n information about a model. tidy() summarizes information about model\n components such as coefficients of a regression. glance() reports\n information about an entire model, such as goodness of fit measures\n like AIC and BIC. augment() adds information about individual\n observations to a dataset, such as fitted values or influence\n measures.",
"License": "MIT + file LICENSE",
"URL": "https://broom.tidymodels.org/, https://github.com/tidymodels/broom",
"BugReports": "https://github.com/tidymodels/broom/issues",
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