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manifest.json
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"has_parameters": false
},
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"description": {
"Package": "BH",
"Type": "Package",
"Title": "Boost C++ Header Files",
"Version": "1.78.0-0",
"Date": "2021-12-14",
"Author": "Dirk Eddelbuettel, John W. Emerson and Michael J. Kane",
"Maintainer": "Dirk Eddelbuettel <[email protected]>",
"Description": "Boost provides free peer-reviewed portable C++ source \n libraries. A large part of Boost is provided as C++ template code\n which is resolved entirely at compile-time without linking. This \n package aims to provide the most useful subset of Boost libraries \n for template use among CRAN packages. By placing these libraries in \n this package, we offer a more efficient distribution system for CRAN \n as replication of this code in the sources of other packages is \n avoided. As of release 1.78.0-0, the following Boost libraries are\n included: 'accumulators' 'algorithm' 'align' 'any' 'atomic' 'beast'\n 'bimap' 'bind' 'circular_buffer' 'compute' 'concept' 'config'\n 'container' 'date_time' 'detail' 'dynamic_bitset' 'exception'\n 'flyweight' 'foreach' 'functional' 'fusion' 'geometry' 'graph' 'heap'\n 'icl' 'integer' 'interprocess' 'intrusive' 'io' 'iostreams'\n 'iterator' 'lambda2' 'math' 'move' 'mp11' 'mpl' 'multiprecision'\n 'numeric' 'pending' 'phoenix' 'polygon' 'preprocessor' 'process'\n 'propery_tree' 'random' 'range' 'scope_exit' 'smart_ptr' 'sort'\n 'spirit' 'tuple' 'type_traits' 'typeof' 'unordered' 'utility' 'uuid'.",
"License": "BSL-1.0",
"URL": "https://github.com/eddelbuettel/bh,\nhttps://dirk.eddelbuettel.com/code/bh.html",
"BugReports": "https://github.com/eddelbuettel/bh/issues",
"NeedsCompilation": "no",
"Packaged": "2021-12-14 21:51:21 UTC; edd",
"Repository": "CRAN",
"Date/Publication": "2021-12-15 07:50:08 UTC",
"Built": "R 4.2.0; ; 2022-04-24 01:28:44 UTC; windows"
}
},
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"Repository": "https://cran.rstudio.com/",
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"description": {
"Package": "DT",
"Type": "Package",
"Title": "A Wrapper of the JavaScript Library 'DataTables'",
"Version": "0.26",
"Authors@R": "c(\n person(\"Yihui\", \"Xie\", email = \"[email protected]\", role = c(\"aut\", \"cre\")),\n person(\"Joe\", \"Cheng\", role = \"aut\"),\n person(\"Xianying\", \"Tan\", role = \"aut\"),\n person(\"JJ\", \"Allaire\", role = \"ctb\"),\n person(\"Maximilian\", \"Girlich\", role = \"ctb\"),\n person(\"Greg\", \"Freedman Ellis\", role = \"ctb\"),\n person(\"Johannes\", \"Rauh\", role = \"ctb\"),\n person(\"SpryMedia Limited\", role = c(\"ctb\", \"cph\"), comment = \"DataTables in htmlwidgets/lib\"),\n person(\"Brian\", \"Reavis\", role = c(\"ctb\", \"cph\"), comment = \"selectize.js in htmlwidgets/lib\"),\n person(\"Leon\", \"Gersen\", role = c(\"ctb\", \"cph\"), comment = \"noUiSlider in htmlwidgets/lib\"),\n person(\"Bartek\", \"Szopka\", role = c(\"ctb\", \"cph\"), comment = \"jquery.highlight.js in htmlwidgets/lib\"),\n person(\"Alex\", \"Pickering\", role = c(\"ctb\")),\n person(\"William\", \"Holmes\", role = c(\"ctb\")),\n person(\"Mikko\", \"Marttila\", role = c(\"ctb\")),\n person(\"Andres\", \"Quintero\", role = c(\"ctb\")),\n person(\"Stéphane\", \"Laurent\", role = c(\"ctb\")),\n person(\"RStudio, PBC\", role = \"cph\")\n )",
"Maintainer": "Yihui Xie <[email protected]>",
"Description": "Data objects in R can be rendered as HTML tables using the\n JavaScript library 'DataTables' (typically via R Markdown or Shiny). The\n 'DataTables' library has been included in this R package. The package name\n 'DT' is an abbreviation of 'DataTables'.",
"URL": "https://github.com/rstudio/DT",
"BugReports": "https://github.com/rstudio/DT/issues",
"License": "GPL-3 | file LICENSE",
"Imports": "htmltools (>= 0.3.6), htmlwidgets (>= 1.3), jsonlite (>=\n0.9.16), magrittr, crosstalk, jquerylib, promises",
"Suggests": "knitr (>= 1.8), rmarkdown, shiny (>= 1.6), bslib, future,\ntestit",
"VignetteBuilder": "knitr",
"RoxygenNote": "7.2.1",
"Encoding": "UTF-8",
"NeedsCompilation": "no",
"Packaged": "2022-10-18 23:11:25 UTC; yihui",
"Author": "Yihui Xie [aut, cre],\n Joe Cheng [aut],\n Xianying Tan [aut],\n JJ Allaire [ctb],\n Maximilian Girlich [ctb],\n Greg Freedman Ellis [ctb],\n Johannes Rauh [ctb],\n SpryMedia Limited [ctb, cph] (DataTables in htmlwidgets/lib),\n Brian Reavis [ctb, cph] (selectize.js in htmlwidgets/lib),\n Leon Gersen [ctb, cph] (noUiSlider in htmlwidgets/lib),\n Bartek Szopka [ctb, cph] (jquery.highlight.js in htmlwidgets/lib),\n Alex Pickering [ctb],\n William Holmes [ctb],\n Mikko Marttila [ctb],\n Andres Quintero [ctb],\n Stéphane Laurent [ctb],\n RStudio, PBC [cph]",
"Repository": "CRAN",
"Date/Publication": "2022-10-19 00:17:54 UTC",
"Built": "R 4.2.2; ; 2022-11-10 04:15:00 UTC; windows"
}
},
"FactoMineR": {
"Source": "CRAN",
"Repository": "https://cran.rstudio.com/",
"GithubRepo": null,
"GithubUsername": null,
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"description": {
"Package": "FactoMineR",
"Version": "2.6",
"Title": "Multivariate Exploratory Data Analysis and Data Mining",
"Author": "Francois Husson, Julie Josse, Sebastien Le, Jeremy Mazet",
"Maintainer": "Francois Husson <[email protected]>",
"Depends": "R (>= 4.0)",
"Imports": "car,cluster,DT,ellipse,emmeans,flashClust,graphics,grDevices,lattice,leaps,MASS,multcompView,scatterplot3d,stats,utils,ggplot2,ggrepel",
"Suggests": "missMDA,knitr,Factoshiny,markdown",
"Description": "Exploratory data analysis methods to summarize, visualize and describe datasets. The main principal component methods are available, those with the largest potential in terms of applications: principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, Multiple Factor Analysis when variables are structured in groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. Pages (2017).",
"License": "GPL (>= 2)",
"URL": "http://factominer.free.fr",
"BugReports": "https://github.com/husson/FactoMineR",
"Encoding": "latin1",
"VignetteBuilder": "knitr",
"NeedsCompilation": "yes",
"Packaged": "2022-09-09 09:10:13 UTC; husson",
"Repository": "CRAN",
"Date/Publication": "2022-09-09 10:53:01 UTC",
"Built": "R 4.2.2; x86_64-w64-mingw32; 2022-11-10 07:03:39 UTC; windows",
"ExperimentalWindowsRuntime": "ucrt",
"Archs": "x64"
}
},
"MASS": {
"Source": "CRAN",
"Repository": "https://cran.rstudio.com/",
"GithubRepo": null,
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"GithubSha1": null,
"description": {
"Package": "MASS",
"Priority": "recommended",
"Version": "7.3-56",
"Date": "2022-03-23",
"Revision": "$Rev: 3561 $",
"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": "2022-03-23 07:38:58 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": "2022-03-23 07:51:46 UTC",
"Built": "R 4.2.0; x86_64-w64-mingw32; 2022-04-22 12:20:49 UTC; windows",
"ExperimentalWindowsRuntime": "ucrt",
"Archs": "x64"
}
},
"Matrix": {
"Source": "CRAN",
"Repository": "https://cran.rstudio.com/",
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"GithubUsername": null,
"GithubRef": null,
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"description": {
"Package": "Matrix",
"Version": "1.5-3",
"Date": "2022-11-09",
"Priority": "recommended",
"Title": "Sparse and Dense Matrix Classes and Methods",
"Contact": "[email protected]",
"Maintainer": "Martin Maechler <[email protected]>",
"Authors@R": "c(person(\"Douglas\", \"Bates\", role = \"aut\")\n , person(\"Martin\", \"Maechler\", role = c(\"aut\", \"cre\"),\n email = \"[email protected]\",\n comment = c(ORCID = \"0000-0002-8685-9910\"))\n , person(\"Mikael\", \"Jagan\", role = \"aut\",\n comment = c(ORCID = \"0000-0002-3542-2938\"))\n , person(\"Timothy A.\", \"Davis\", role = \"ctb\",\n comment = c(\"SuiteSparse and 'cs' C libraries, notably CHOLMOD and AMD\",\n\t \"collaborators listed in dir(pattern=\\\"^[A-Z]+[.]txt$\\\", full.names=TRUE, system.file(\\\"doc\\\", \\\"SuiteSparse\\\", package=\\\"Matrix\\\"))\"))\n , person(\"Jens\", \"Oehlschlägel\", role = \"ctb\",\n 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\",\n 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), methods",
"Imports": "graphics, grid, lattice, stats, utils",
"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",
"NeedsCompilation": "yes",
"Packaged": "2022-11-10 14:57:57 UTC; maechler",
"Author": "Douglas Bates [aut],\n Martin Maechler [aut, cre] (<https://orcid.org/0000-0002-8685-9910>),\n Mikael Jagan [aut] (<https://orcid.org/0000-0002-3542-2938>),\n Timothy A. Davis [ctb] (SuiteSparse and 'cs' C libraries, notably\n CHOLMOD and AMD, collaborators listed in\n dir(pattern=\"^[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",
"Date/Publication": "2022-11-11 08:30:10 UTC",
"Built": "R 4.2.2; x86_64-w64-mingw32; 2022-11-13 00:51:57 UTC; windows",
"ExperimentalWindowsRuntime": "ucrt",
"Archs": "x64"
}
},
"MatrixModels": {
"Source": "CRAN",
"Repository": "https://cran.rstudio.com/",
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"description": {
"Package": "MatrixModels",
"Version": "0.5-1",
"Date": "2022-09-03",
"Title": "Modelling with Sparse and Dense Matrices",
"Author": "Douglas Bates <[email protected]> and Martin Maechler <[email protected]>",
"Maintainer": "Martin Maechler <[email protected]>",
"Contact": "Doug and Martin <[email protected]>",
"Description": "Modelling with sparse and dense 'Matrix' matrices, using\n modular prediction and response module classes.",
"Depends": "R (>= 3.6.0)",
"Imports": "stats, methods, Matrix (>= 1.4-2)",
"ImportsNote": "_not_yet_stats4",
"Encoding": "UTF-8",
"LazyLoad": "yes",
"License": "GPL (>= 2)",
"URL": "http://Matrix.R-forge.R-project.org/",
"NeedsCompilation": "no",
"Packaged": "2022-09-03 21:13:52 UTC; maechler",
"Repository": "CRAN",
"Date/Publication": "2022-09-11 06:02:55 UTC",
"Built": "R 4.2.2; ; 2022-11-10 03:26:06 UTC; windows"
}
},
"QBMS": {
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"GithubRepo": "QBMS",
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"GithubRef": "HEAD",
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"description": {
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"Title": "Query the Breeding Management System(s)",
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"Maintainer": "Michel Lang <[email protected]>",
"Description": "\n Functions introduced or changed since R v3.0.0 are re-implemented in this\n package. The backports are conditionally exported in order to let R resolve\n the function name to either the implemented backport, or the respective base\n version, if available. Package developers can make use of new functions or\n arguments by selectively importing specific backports to\n support older installations.",
"URL": "https://github.com/r-lib/backports",
"BugReports": "https://github.com/r-lib/backports/issues",
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"Encoding": "UTF-8",
"RoxygenNote": "7.1.2",
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"Depends": "R (>= 2.9.0)",
"Enhances": "png",
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"License": "GPL-2 | GPL-3",
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"Package": "boot",
"Priority": "recommended",
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"Date": "2021-04-16",
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"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": {
"Type": "Package",
"Package": "brew",
"Title": "Templating Framework for Report Generation",
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"Authors@R": "c(\n person(\"Jeffrey\", \"Horner\", role = c(\"aut\", \"cph\")),\n person(\"Greg\", \"Hunt\", , \"[email protected]\", role = c(\"aut\", \"cre\", \"cph\"))\n )",
"Description": "Implements a templating framework for mixing text and R code\n for report generation. brew template syntax is similar to PHP, Ruby's\n erb module, Java Server Pages, and Python's psp module.",
"License": "GPL-2",
"URL": "https://github.com/gregfrog/brew",
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"Title": "Basic R Input Output",
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"Description": "Functions to handle basic input output, these functions\n always read and write UTF-8 (8-bit Unicode Transformation Format)\n files and provide more explicit control over line endings.",
"License": "MIT + file LICENSE",
"URL": "https://brio.r-lib.org, https://github.com/r-lib/brio",
"BugReports": "https://github.com/r-lib/brio/issues",
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"Author": "Jim Hester [aut] (<https://orcid.org/0000-0002-2739-7082>),\n Gábor Csárdi [aut, cre],\n RStudio [cph, fnd]",
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"Repository": "CRAN",
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"description": {
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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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"car": {
"Source": "CRAN",
"Repository": "https://cran.rstudio.com/",
"GithubRepo": null,
"GithubUsername": null,
"GithubRef": null,
"GithubSha1": null,
"description": {
"Package": "car",
"Version": "3.1-1",