{ "_id": "6ac79ce4de46216d5edd2b5d", "Package": "MCMCpack", "Version": "1.7-1", "Date": "2024-08-27", "Title": "Markov Chain Monte Carlo (MCMC) Package", "Authors@R": "c(person(given = c(\"Andrew\", \"D.\"),\nfamily = \"Martin\",\nrole = \"aut\"),\nperson(given = c(\"Kevin\", \"M.\"),\nfamily = \"Quinn\",\nrole = \"aut\"),\nperson(given = c(\"Jong\", \"Hee\"),\nfamily = \"Park\",\nrole = c(\"aut\", \"cre\"),\nemail = \"jongheepark@snu.ac.kr\"),\nperson(given = \"Ghislain\",\nfamily = \"Vieilledent\",\nrole = \"ctb\"),\nperson(given = \"Michael\",\nfamily = \"Malecki\",\nrole = \"ctb\"),\nperson(given = \"Matthew\",\nfamily = \"Blackwell\",\nrole = \"ctb\"),\nperson(given = \"Keith\",\nfamily = \"Poole\",\nrole = \"ctb\"),\nperson(given = \"Craig\",\nfamily = \"Reed\",\nrole = \"ctb\"),\nperson(given = \"Ben\",\nfamily = \"Goodrich\",\nrole = \"ctb\"),\nperson(given = \"Qiushi\",\nfamily = \"Yu\",\nrole = \"ctb\"),\nperson(given = \"Ross\",\nfamily = \"Ihaka\",\nrole = \"cph\"),\nperson(given = c(\"The\", \"R\", \"Development\", \"Core\"),\nfamily = \"Team\",\nrole = \"cph\"),\nperson(given = c(\"The\", \"R\"),\nfamily = \"Foundation\",\nrole = \"cph\"),\nperson(given = \"Pierre\",\nfamily = \"L'Ecuyer\",\nrole = \"cph\"),\nperson(given = \"Makoto\",\nfamily = \"Matsumoto\",\nrole = \"cph\"),\nperson(given = \"Takuji\",\nfamily = \"Nishimura\",\nrole = \"cph\"))", "Description": "Contains functions to perform Bayesian inference using\nposterior simulation for a number of statistical models. Most\nsimulation is done in compiled C++ written in the Scythe\nStatistical Library Version 1.0.3. All models return 'coda'\nmcmc objects that can then be summarized using the 'coda'\npackage. Some useful utility functions such as density\nfunctions, pseudo-random number generators for statistical\ndistributions, a general purpose Metropolis sampling algorithm,\nand tools for visualization are provided.", "License": "GPL-3", "SystemRequirements": "gcc (>= 4.0)", "URL": "https://CRAN.R-project.org/package=MCMCpack", "Packaged": { "Date": "2026-10-08 13:21:53 UTC", "User": "root" }, "NeedsCompilation": "yes", "RoxygenNote": "7.3.1", "Encoding": "UTF-8", "Author": "Andrew D. Martin [aut], Kevin M. Quinn [aut], Jong Hee Park\n[aut, cre], Ghislain Vieilledent [ctb], Michael Malecki [ctb],\nMatthew Blackwell [ctb], Keith Poole [ctb], Craig Reed [ctb],\nBen Goodrich [ctb], Qiushi Yu [ctb], Ross Ihaka [cph], The R\nDevelopment Core Team [cph], The R Foundation [cph], Pierre\nL'Ecuyer [cph], Makoto Matsumoto [cph], Takuji Nishimura [cph]", "Maintainer": "Jong Hee Park ", "Repository": "https://jongheepark.r-universe.dev", "Date/Publication": "2024-08-28 02:48:34 UTC", "RemoteUrl": "https://github.com/cran/MCMCpack", "RemoteRef": "HEAD", "RemoteSha": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "_user": "jongheepark", "_type": "src", "_file": "MCMCpack_1.7-1.tar.gz", "_fileid": "https://r2.ropensci.org/5ac36727fdb69781d6d9741e78997f39c3ce01e988c2297019127726cf44f927", "_filesize": 1544940, "_sha256": "5ac36727fdb69781d6d9741e78997f39c3ce01e988c2297019127726cf44f927", "_expires": "2027-01-16T13:38:42.000Z", "_created": "2026-10-08T13:21:53.000Z", "_published": "2026-10-08T13:38:44.090Z", "_buildurl": "https://github.com/r-universe/jongheepark/actions/runs/37783432709", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 113334239624, "time": 282, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "11554065700" }, { "job": 113334239658, "time": 209, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11553162869" }, { "job": 113334239487, "time": 268, "config": "linux-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11554290350" }, { "job": 113334239621, "time": 271, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11552964951" }, { "job": 113334239506, "time": 329, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11553518043" }, { "job": 113334239456, "time": 831, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11553444748" }, { "job": 113334239863, "time": 323, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11553193123" }, { "job": 113334239654, "time": 683, "config": "macos-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11554421417" }, { "job": 113332182287, "time": 278, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11553396711" }, { "job": 113334239445, "time": 161, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11554020471" }, { "job": 113334239780, "time": 577, "config": "windows-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "11554735512" }, { "job": 113334239634, "time": 273, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11553417516" }, { "job": 113334239653, "time": 333, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11553368426" }, { "job": 113334239515, "time": 400, "config": "windows-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11554225855" }, { "job": 113334239557, "time": 339, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11554290533" } ], "_upstream": "https://github.com/cran/MCMCpack", "_commit": { "id": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "author": "Jong Hee Park ", "committer": "cran-robot ", "message": "version 1.7-1\n", "time": 1724813314 }, "_maintainer": { "name": "Jong Hee Park", "email": "jongheepark@snu.ac.kr", "login": "jongheepark", "twitter": "@jhp", "description": "I am a political economist interested in political institutions, international relations, Bayesian statistics, network analysis, and data science. ", "uuid": 2516108 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.6", "role": "Depends" }, { "package": "coda", "version": ">= 0.11-3", "role": "Depends" }, { "package": "MASS", "role": "Depends" }, { "package": "stats", "role": "Depends" }, { "package": "graphics", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "lattice", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "mcmc", "role": "Imports" }, { "package": "quantreg", "role": "Imports" } ], "_owner": "cran", "_selfowned": true, "_usedby": 134, "_updates": [], "_tags": [], "_stars": 13, "_contributors": [ { "user": "jongheepark", "count": 25, "uuid": 2516108 } ], "_userbio": { "uuid": 2516108, "type": "user", "name": "Jong Hee Park", "followers": 63, "description": "I am a political economist interested in political institutions, international relations, Bayesian statistics, network analysis, and data science. " }, "_downloads": { "count": 22262, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/MCMCpack" }, "_mentions": 40, "_searchresults": 3000, "_topics": [ "cpp" ], "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/MCMCpack.html" ], "_realowner": "jongheepark", "_cranurl": false, "_releases": [ { "version": "0.3-10", "date": "2003-02-21" }, { "version": "0.3-11", "date": "2003-03-20" }, { "version": "0.4-1", "date": "2003-06-11" }, { "version": "0.4-2", "date": "2003-07-24" }, { "version": "0.4-3", "date": "2003-09-12" }, { "version": "0.4-4", "date": "2003-11-15" }, { "version": "0.4-5", "date": "2003-11-18" }, { "version": "0.4-6", "date": "2003-11-23" }, { "version": "0.4-7", "date": "2004-02-05" }, { "version": "0.4-8", "date": "2004-02-16" }, { "version": "0.4-9", "date": "2004-07-04" }, { "version": "0.5-1", "date": "2004-08-05" }, { "version": "0.5-2", "date": "2004-12-27" }, { "version": "0.6-1", "date": "2005-02-21" }, { "version": "0.6-2", "date": "2005-03-09" }, { "version": "0.6-3", "date": "2005-03-15" }, { "version": "0.6-4", "date": "2005-03-17" }, { "version": "0.6-5", "date": "2005-06-30" }, { "version": "0.6-6", "date": "2005-11-15" }, { "version": "0.7-1", "date": "2006-01-28" }, { "version": "0.7-2", "date": "2006-05-30" }, { "version": "0.7-3", "date": "2006-09-18" }, { "version": "0.7-4", "date": "2006-09-29" }, { "version": "0.8-1", "date": "2007-01-12" }, { "version": "0.8-2", "date": "2007-04-24" }, { "version": "0.9-1", "date": "2007-08-25" }, { "version": "0.9-2", "date": "2007-10-03" }, { "version": "0.9-3", "date": "2007-10-17" }, { "version": "0.9-4", "date": "2008-03-03" }, { "version": "0.9-5", "date": "2008-12-05" }, { "version": "0.9-6", "date": "2009-02-17" }, { "version": "1.0-1", "date": "2009-07-01" }, { "version": "1.0-2", "date": "2009-07-18" }, { "version": "1.0-3", "date": "2009-07-30" }, { "version": "1.0-4", "date": "2009-09-08" }, { "version": "1.0-5", "date": "2009-11-29" }, { "version": "1.0-6", "date": "2010-05-11" }, { "version": "1.0-7", "date": "2010-06-04" }, { "version": "1.0-8", "date": "2010-10-19" }, { "version": "1.0-9", "date": "2011-01-31" }, { "version": "1.0-10", "date": "2011-02-28" }, { "version": "1.0-11", "date": "2011-04-26" }, { "version": "1.1-1", "date": "2011-07-23" }, { "version": "1.1-3", "date": "2011-09-10" }, { "version": "1.1-4", "date": "2011-09-26" }, { "version": "1.1-5", "date": "2011-10-24" }, { "version": "1.2-1", "date": "2011-11-14" }, { "version": "1.2-2", "date": "2012-03-03" }, { "version": "1.2-3", "date": "2012-04-16" }, { "version": "1.2-4", "date": "2012-06-14" }, { "version": "1.2-4.1", "date": "2013-04-06" }, { "version": "1.3-1", "date": "2013-04-17" }, { "version": "1.3-2", "date": "2013-04-19" }, { "version": "1.3-3", "date": "2013-05-01" }, { "version": "1.3-4", "date": "2016-02-11" }, { "version": "1.3-5", "date": "2016-03-11" }, { "version": "1.3-6", "date": "2016-04-15" }, { "version": "1.3-7", "date": "2016-08-21" }, { "version": "1.3-8", "date": "2016-10-27" }, { "version": "1.3-9", "date": "2017-01-26" }, { "version": "1.4-0", "date": "2017-06-05" }, { "version": "1.4-1", "date": "2017-12-05" }, { "version": "1.4-2", "date": "2018-01-21" }, { "version": "1.4-3", "date": "2018-05-15" }, { "version": "1.4-4", "date": "2018-09-14" }, { "version": "1.4-5", "date": "2019-12-01" }, { "version": "1.4-6", "date": "2020-02-13" }, { "version": "1.4-7", "date": "2020-05-08" }, { "version": "1.4-8", "date": "2020-05-31" }, { "version": "1.4-9", "date": "2020-08-02" }, { "version": "1.5-0", "date": "2021-01-20" }, { "version": "1.6-0", "date": "2021-10-06" }, { "version": "1.6-1", "date": "2022-03-03" }, { "version": "1.6-2", "date": "2022-03-31" }, { "version": "1.6-3", "date": "2022-04-13" }, { "version": "1.7-0", "date": "2024-01-18" }, { "version": "1.7-1", "date": "2024-08-27" } ], "_exports": [ "BayesFactor", "choicevar", "ddirichlet", "dinvgamma", "diwish", "dnoncenhypergeom", "dtomogplot", "dwish", "HDPHMMnegbin", "HDPHMMpoisson", "HDPHSMMnegbin", "HMMpanelFE", "HMMpanelRE", "is.BayesFactor", "make.breaklist", "MCbinomialbeta", "MCMCbinaryChange", "MCMCdynamicEI", "MCMCdynamicIRT1d", "MCMCfactanal", "MCMChierEI", "MCMChlogit", "MCMChpoisson", "MCMChregress", "MCMCirt1d", "MCMCirtHier1d", "MCMCirtKd", "MCMCirtKdRob", "MCMClogit", "MCMCmetrop1R", "MCMCmixfactanal", "MCMCmnl", "MCMCnegbin", "MCMCnegbinChange", "MCMCoprobit", "MCMCoprobitChange", "MCMCordfactanal", "MCMCpaircompare", "MCMCpaircompare2d", "MCMCpaircompare2dDP", "MCMCpoisson", "MCMCpoissonChange", "MCMCprobit", "MCMCprobitChange", "MCMCquantreg", "MCMCregress", "MCMCregressChange", "MCMCresidualBreakAnalysis", "MCMCSVDreg", "MCMCtobit", "MCmultinomdirichlet", "MCnormalnormal", "MCpoissongamma", "mptable", "plotChangepoint", "plotHDPChangepoint", "plotState", "PostProbMod", "procrustes", "rdirichlet", "read.Scythe", "rinvgamma", "riwish", "rnoncenhypergeom", "rwish", "SSVSquantreg", "testpanelGroupBreak", "testpanelSubjectBreak", "tomogplot", "topmodels", "vech", "write.Scythe", "xpnd" ], "_datasets": [ { "name": "Euro2016", "title": "Euro 2016 data", "object": "Euro2016", "file": "Euro2016.rda", "class": [ "data.frame" ], "fields": [ "dummy.rater", "team1", "team2", "winner" ], "rows": 51, "table": true, "tojson": true }, { "name": "Nethvote", "title": "Dutch Voting Behavior in 1989", "object": "Nethvote", "file": "Nethvote.rda", "class": [ "data.frame" ], "fields": [ "vote", "distD66", "distPvdA", "distVVD", "distCDA", "relig", "class", "income", "educ", "age", "urban" ], "rows": 1754, "table": true, "tojson": true }, { "name": "PErisk", "title": "Political Economic Risk Data from 62 Countries in 1987", "object": "PErisk", "file": "PErisk.rda", "class": [ "data.frame" ], "fields": [ "country", "courts", "barb2", "prsexp2", "prscorr2", "gdpw2" ], "rows": 62, "table": true, "tojson": true }, { "name": "Rehnquist", "title": "U.S. Supreme Court Vote Matrix, Rehnquist Court (1994-2004)", "object": "Rehnquist", "file": "Rehnquist.rda", "class": [ "data.frame" ], "fields": [ "Rehnquist", "Stevens", "O.Connor", "Scalia", "Kennedy", "Souter", "Thomas", "Ginsburg", "Breyer", "term", "time" ], "rows": 485, "table": true, "tojson": true }, { "name": "Senate", "title": "106th U.S. Senate Roll Call Vote Matrix", "object": "Senate", "file": "Senate.rda", "class": [ "data.frame" ], "fields": [], "rows": 102, "table": true, "tojson": true }, { "name": "SupremeCourt", "title": "U.S. Supreme Court Vote Matrix", "object": "SupremeCourt", "file": "SupremeCourt.rda", "class": [ "data.frame" ], "fields": [ "Rehnquist", "Stevens", "O'Connor", "Scalia", "Kennedy", "Souter", "Thomas", "Ginsburg", "Breyer" ], "rows": 43, "table": true, "tojson": true } ], "_help": [ { "page": "BayesFactor", "title": "Create an object of class BayesFactor from MCMCpack output", "topics": [ "BayesFactor", "is.BayesFactor" ] }, { "page": "choicevar", "title": "Handle Choice-Specific Covariates in Multinomial Choice Models", "topics": [ "choicevar" ] }, { "page": "Dirichlet", "title": "The Dirichlet Distribution", "topics": [ "ddirichlet", "Dirichlet", "rdirichlet" ] }, { "page": "dtomogplot", "title": "Dynamic Tomography Plot", "topics": [ "dtomogplot" ] }, { "page": "Euro2016", "title": "Euro 2016 data", "topics": [ "Euro2016" ] }, { "page": "HDPHMMnegbin", "title": "Markov Chain Monte Carlo for sticky HDP-HMM with a Negative Binomial outcome distribution", "topics": [ "HDPHMMnegbin" ] }, { "page": "HDPHMMpoisson", "title": "Markov Chain Monte Carlo for sticky HDP-HMM with a Poisson outcome distribution", "topics": [ "HDPHMMpoisson" ] }, { "page": "HDPHSMMnegbin", "title": "Markov Chain Monte Carlo for HDP-HSMM with a Negative Binomial outcome distribution", "topics": [ "HDPHSMMnegbin" ] }, { "page": "HMMpanelFE", "title": "Markov Chain Monte Carlo for the Hidden Markov Fixed-effects Model", "topics": [ "HMMpanelFE" ] }, { "page": "HMMpanelRE", "title": "Markov Chain Monte Carlo for the Hidden Markov Random-effects Model", "topics": [ "HMMpanelRE" ] }, { "page": "InvGamma", "title": "The Inverse Gamma Distribution", "topics": [ "dinvgamma", "InvGamma", "rinvgamma" ] }, { "page": "InvWishart", "title": "The Inverse Wishart Distribution", "topics": [ "diwish", "InvWishart", "riwish" ] }, { "page": "make.breaklist", "title": "Vector of break numbers", "topics": [ "make.breaklist" ] }, { "page": "MCbinomialbeta", "title": "Monte Carlo Simulation from a Binomial Likelihood with a Beta Prior", "topics": [ "MCbinomialbeta" ] }, { "page": "MCMCbinaryChange", "title": "Markov Chain Monte Carlo for a Binary Multiple Changepoint Model", "topics": [ "MCMCbinaryChange" ] }, { "page": "MCMCdynamicEI", "title": "Markov Chain Monte Carlo for Quinn's Dynamic Ecological Inference Model", "topics": [ "MCMCdynamicEI" ] }, { "page": "MCMCdynamicIRT1d", "title": "Markov Chain Monte Carlo for Dynamic One Dimensional Item Response Theory Model", "topics": [ "MCMCdynamicIRT1d", "MCMCdynamicIRT1d_b" ] }, { "page": "MCMCfactanal", "title": "Markov Chain Monte Carlo for Normal Theory Factor Analysis Model", "topics": [ "MCMCfactanal" ] }, { "page": "MCMChierEI", "title": "Markov Chain Monte Carlo for Wakefield's Hierarchial Ecological Inference Model", "topics": [ "MCMChierEI" ] }, { "page": "MCMChlogit", "title": "Markov Chain Monte Carlo for the Hierarchical Binomial Linear Regression Model using the logit link function", "topics": [ "MCMChlogit" ] }, { "page": "MCMChpoisson", "title": "Markov Chain Monte Carlo for the Hierarchical Poisson Linear Regression Model using the log link function", "topics": [ "MCMChpoisson" ] }, { "page": "MCMChregress", "title": "Markov Chain Monte Carlo for the Hierarchical Gaussian Linear Regression Model", "topics": [ "MCMChregress" ] }, { "page": "MCMCirt1d", "title": "Markov Chain Monte Carlo for One Dimensional Item Response Theory Model", "topics": [ "MCMCirt1d" ] }, { "page": "MCMCirtHier1d", "title": "Markov Chain Monte Carlo for Hierarchical One Dimensional Item Response Theory Model, Covariates Predicting Latent Ideal Point (Ability)", "topics": [ "MCMCirtHier1d" ] }, { "page": "MCMCirtKd", "title": "Markov Chain Monte Carlo for K-Dimensional Item Response Theory Model", "topics": [ "MCMCirtKd" ] }, { "page": "MCMCirtKdRob", "title": "Markov Chain Monte Carlo for Robust K-Dimensional Item Response Theory Model", "topics": [ "MCMCirtKdRob" ] }, { "page": "MCMClogit", "title": "Markov Chain Monte Carlo for Logistic Regression", "topics": [ "MCMClogit" ] }, { "page": "MCMCmetrop1R", "title": "Metropolis Sampling from User-Written R function", "topics": [ "MCMCmetrop1R" ] }, { "page": "MCMCmixfactanal", "title": "Markov Chain Monte Carlo for Mixed Data Factor Analysis Model", "topics": [ "MCMCmixfactanal" ] }, { "page": "MCMCmnl", "title": "Markov Chain Monte Carlo for Multinomial Logistic Regression", "topics": [ "MCMCmnl" ] }, { "page": "MCMCnegbin", "title": "Markov Chain Monte Carlo for Negative Binomial Regression", "topics": [ "MCMCnegbin" ] }, { "page": "MCMCnegbinChange", "title": "Markov Chain Monte Carlo for Negative Binomial Regression Changepoint Model", "topics": [ "MCMCnegbinChange" ] }, { "page": "MCMCoprobit", "title": "Markov Chain Monte Carlo for Ordered Probit Regression", "topics": [ "MCMCoprobit" ] }, { "page": "MCMCoprobitChange", "title": "Markov Chain Monte Carlo for Ordered Probit Changepoint Regression Model", "topics": [ "MCMCoprobitChange" ] }, { "page": "MCMCordfactanal", "title": "Markov Chain Monte Carlo for Ordinal Data Factor Analysis Model", "topics": [ "MCMCordfactanal" ] }, { "page": "MCMCpaircompare", "title": "Markov Chain Monte Carlo for a Pairwise Comparisons Model with Probit Link", "topics": [ "MCMCpaircompare" ] }, { "page": "MCMCpaircompare2d", "title": "Markov Chain Monte Carlo for the Two-Dimensional Pairwise Comparisons Model in Yu and Quinn (2021)", "topics": [ "MCMCpaircompare2d" ] }, { "page": "MCMCpaircompare2dDP", "title": "Markov Chain Monte Carlo for the Two-Dimensional Pairwise Comparisons Model with Dirichlet Process Prior in Yu and Quinn (2021)", "topics": [ "MCMCpaircompare2dDP" ] }, { "page": "MCMCpoisson", "title": "Markov Chain Monte Carlo for Poisson Regression", "topics": [ "MCMCpoisson" ] }, { "page": "MCMCpoissonChange", "title": "Markov Chain Monte Carlo for a Poisson Regression Changepoint Model", "topics": [ "MCMCpoissonChange" ] }, { "page": "MCMCprobit", "title": "Markov Chain Monte Carlo for Probit Regression", "topics": [ "MCMCprobit" ] }, { "page": "MCMCprobitChange", "title": "Markov Chain Monte Carlo for a linear Gaussian Multiple Changepoint Model", "topics": [ "MCMCprobitChange" ] }, { "page": "MCMCquantreg", "title": "Bayesian quantile regression using Gibbs sampling", "topics": [ "MCMCquantreg" ] }, { "page": "MCMCregress", "title": "Markov Chain Monte Carlo for Gaussian Linear Regression", "topics": [ "MCMCregress" ] }, { "page": "MCMCregressChange", "title": "Markov Chain Monte Carlo for a linear Gaussian Multiple Changepoint Model", "topics": [ "MCMCregressChange" ] }, { "page": "MCMCresidualBreakAnalysis", "title": "Break Analysis of Univariate Time Series using Markov Chain Monte Carlo", "topics": [ "MCMCresidualBreakAnalysis" ] }, { "page": "MCMCSVDreg", "title": "Markov Chain Monte Carlo for SVD Regression", "topics": [ "MCMCSVDreg" ] }, { "page": "MCMCtobit", "title": "Markov Chain Monte Carlo for Gaussian Linear Regression with a Censored Dependent Variable", "topics": [ "MCMCtobit" ] }, { "page": "MCmultinomdirichlet", "title": "Monte Carlo Simulation from a Multinomial Likelihood with a Dirichlet Prior", "topics": [ "MCmultinomdirichlet" ] }, { "page": "MCnormalnormal", "title": "Monte Carlo Simulation from a Normal Likelihood (with known variance) with a Normal Prior", "topics": [ "MCnormalnormal" ] }, { "page": "MCpoissongamma", "title": "Monte Carlo Simulation from a Poisson Likelihood with a Gamma Prior", "topics": [ "MCpoissongamma" ] }, { "page": "mptable", "title": "Calculate the marginal posterior probabilities of predictors being included in a quantile regression model.", "topics": [ "mptable" ] }, { "page": "Nethvote", "title": "Dutch Voting Behavior in 1989", "topics": [ "Nethvote" ] }, { "page": "NoncenHypergeom", "title": "The Noncentral Hypergeometric Distribution", "topics": [ "dnoncenhypergeom", "NoncenHypergeom", "rnoncenhypergeom" ] }, { "page": "PErisk", "title": "Political Economic Risk Data from 62 Countries in 1987", "topics": [ "PErisk" ] }, { "page": "plot.qrssvs", "title": "Plot output from quantile regression stochastic search variable selection (QR-SSVS).", "topics": [ "plot.qrssvs" ] }, { "page": "plotChangepoint", "title": "Posterior Density of Regime Change Plot", "topics": [ "plotChangepoint" ] }, { "page": "plotHDPChangepoint", "title": "Posterior Changepoint Probabilities from HDP-HMM", "topics": [ "plotHDPChangepoint" ] }, { "page": "plotState", "title": "Changepoint State Plot", "topics": [ "plotState" ] }, { "page": "PostProbMod", "title": "Calculate Posterior Probability of Model", "topics": [ "PostProbMod" ] }, { "page": "procrustes", "title": "Procrustes Transformation", "topics": [ "procrustes" ] }, { "page": "read.Scythe", "title": "Read a Matrix from a File written by Scythe", "topics": [ "read.Scythe" ] }, { "page": "Rehnquist", "title": "U.S. Supreme Court Vote Matrix, Rehnquist Court (1994-2004)", "topics": [ "Rehnquist" ] }, { "page": "Senate", "title": "106th U.S. Senate Roll Call Vote Matrix", "topics": [ "Senate" ] }, { "page": "SSVSquantreg", "title": "Stochastic search variable selection for quantile regression", "topics": [ "SSVSquantreg" ] }, { "page": "summaryqrssvs", "title": "Summarising the results of quantile regression stochastic search variable selection (QR-SSVS).", "topics": [ "print.summary.qrssvs", "summary.qrssvs", "summaryqrssvs" ] }, { "page": "SupremeCourt", "title": "U.S. Supreme Court Vote Matrix", "topics": [ "SupremeCourt" ] }, { "page": "testpanelGroupBreak", "title": "A Test for the Group-level Break using a Multivariate Linear Regression Model with Breaks", "topics": [ "testpanelGroupBreak" ] }, { "page": "testpanelSubjectBreak", "title": "A Test for the Subject-level Break using a Unitivariate Linear Regression Model with Breaks", "topics": [ "testpanelSubjectBreak" ] }, { "page": "tomogplot", "title": "Tomography Plot", "topics": [ "tomogplot" ] }, { "page": "topmodels", "title": "Shows an ordered list of the most frequently visited models sampled during quantile regression stochastic search variable selection (QR-SSVS).", "topics": [ "topmodels" ] }, { "page": "vech", "title": "Extract Lower Triangular Elements from a Symmetric Matrix", "topics": [ "vech" ] }, { "page": "Wishart", "title": "The Wishart Distribution", "topics": [ "dwish", "rwish", "Wishart" ] }, { "page": "write.Scythe", "title": "Write a Matrix to a File to be Read by Scythe", "topics": [ "write.Scythe" ] }, { "page": "xpnd", "title": "Expand a Vector into a Symmetric Matrix", "topics": [ "xpnd" ] } ], "_rundeps": [ "coda", "lattice", "MASS", "Matrix", "MatrixModels", "mcmc", "quantreg", "SparseM", "survival" ], "_sysdeps": [ { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "16-20260322-1ubuntu1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" } ], "_score": 9.54285483852592, "_indexed": true, "_nocasepkg": "mcmcpack", "_universes": [ "jongheepark" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.7-1", "date": "2026-10-08T13:25:59.000Z", "distro": "resolute", "arch": "aarch64", "commit": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "fileid": "https://r2.ropensci.org/1fb085de39a91a2dfd6cc6a1230d79740c3dcd16371102798da35d444e54b76c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jongheepark/actions/runs/37783432709" }, { "r": "4.7.0", "os": "linux", "version": "1.7-1", "date": "2026-10-08T13:25:52.000Z", "distro": "resolute", "arch": "x86_64", "commit": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "fileid": "https://r2.ropensci.org/e93a60c688277c12abe7d30ac33ec68cdf095b404f8737f84c237c79098bc02d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jongheepark/actions/runs/37783432709" }, { "r": "4.6.1", "os": "linux", "version": "1.7-1", "date": "2026-10-08T13:25:53.000Z", "distro": "resolute", "arch": "aarch64", "commit": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "fileid": "https://r2.ropensci.org/f18617c05d8620f7803cacc80de84f06a2367038b37d85beb1db2ade05d6ab6b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jongheepark/actions/runs/37783432709" }, { "r": "4.6.1", "os": "linux", "version": "1.7-1", "date": "2026-10-08T13:25:43.000Z", "distro": "resolute", "arch": "x86_64", "commit": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "fileid": "https://r2.ropensci.org/9019c2ad4a06e0a4aa07749ff543e408fd0965b17f2467a089b57d34ff5e6488", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jongheepark/actions/runs/37783432709" }, { "r": "4.5.3", "os": "mac", "version": "1.7-1", "date": "2026-10-08T13:26:04.000Z", "arch": "aarch64", "commit": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "fileid": "https://r2.ropensci.org/24a5dcf0f2e6c9f31a82d6143e76f9a2166b7b5dab0e7f25c9c27f84afae7a66", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jongheepark/actions/runs/37783432709" }, { "r": "4.5.3", "os": "mac", "version": "1.7-1", "date": "2026-10-08T13:29:00.000Z", "arch": "x86_64", "commit": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "fileid": "https://r2.ropensci.org/d59aba0c58a308fb2525997ae4f5c5c36c40cf009898de8e0e225553c1089a67", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jongheepark/actions/runs/37783432709" }, { "r": "4.6.1", "os": "mac", "version": "1.7-1", "date": "2026-10-08T13:26:03.000Z", "arch": "aarch64", "commit": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "fileid": "https://r2.ropensci.org/0121cee78405a2ce92b9e7e20655406902a02cdbfaec88573b993f14024c625c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jongheepark/actions/runs/37783432709" }, { "r": "4.6.1", "os": "mac", "version": "1.7-1", "date": "2026-10-08T13:28:48.000Z", "arch": "x86_64", "commit": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "fileid": "https://r2.ropensci.org/8c9aff44884b33af36765bf400cb6040a59607636ba62c44825655b781a38674", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jongheepark/actions/runs/37783432709" }, { "r": "4.6.0", "os": "wasm", "version": "1.7-1", "date": "2026-10-08T13:25:54.000Z", "arch": "emscripten", "commit": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "fileid": "https://r2.ropensci.org/a5fe8bf20052a219a6913102e170d48922be979b08731c215a099c3ff6ffef79", "status": "success", "buildurl": "https://github.com/r-universe/jongheepark/actions/runs/37783432709" }, { "r": "4.7.0", "os": "win", "version": "1.7-1", "date": "2026-10-08T13:29:12.000Z", "arch": "aarch64", "commit": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "fileid": "https://r2.ropensci.org/fed8af6af3da09fcfbb8a61fe42c8cd6477356a2c67866609579ab550e81cbe1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jongheepark/actions/runs/37783432709" }, { "r": "4.7.0", "os": "win", "version": "1.7-1", "date": "2026-10-08T13:25:13.000Z", "arch": "x86_64", "commit": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "fileid": "https://r2.ropensci.org/efd3299ca089858d8364818ffdbcc19868cd9f7b0efc6f8c2da77f7dd302703a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jongheepark/actions/runs/37783432709" }, { "r": "4.5.3", "os": "win", "version": "1.7-1", "date": "2026-10-08T13:25:19.000Z", "arch": "x86_64", "commit": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "fileid": "https://r2.ropensci.org/2637042d764fbca9e223be8747f6cefc098026748b7280af804231004e873605", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jongheepark/actions/runs/37783432709" }, { "r": "4.6.1", "os": "win", "version": "1.7-1", "date": "2026-10-08T13:26:53.000Z", "arch": "aarch64", "commit": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "fileid": "https://r2.ropensci.org/44c6df72bae2e89d09130527c1a25b143b8c25afb4ae5a1ddff83f5f662348eb", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jongheepark/actions/runs/37783432709" }, { "r": "4.6.1", "os": "win", "version": "1.7-1", "date": "2026-10-08T13:25:06.000Z", "arch": "x86_64", "commit": "2b02c1d57d83f372fa6b3bc5522e27701690d0d9", "fileid": "https://r2.ropensci.org/aa3c61362a1f484620681f8e15665e470568d42a19ed9c6dbdeb38840f0c530a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/jongheepark/actions/runs/37783432709" } ] }