{
  "_id": "6ae309b4327abcdf868661dc",
  "Package": "MCMCprecision",
  "Type": "Package",
  "Title": "Precision of Discrete Parameters in Transdimensional MCMC",
  "Version": "0.4.2",
  "Date": "2025-07-22",
  "Authors@R": "c(person(\"Daniel W.\",\"Heck\", \nemail = \"daniel.heck@uni-marburg.de\",\nrole = c(\"aut\",\"cre\"),\ncomment = c(ORCID = \"0000-0002-6302-9252\")))",
  "Author": "Daniel W. Heck [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-6302-9252>)",
  "Maintainer": "Daniel W. Heck <daniel.heck@uni-marburg.de>",
  "Description": "Estimates the precision of transdimensional Markov chain\nMonte Carlo (MCMC) output, which is often used for Bayesian\nanalysis of models with different dimensionality (e.g., model\nselection). Transdimensional MCMC (e.g., reversible jump MCMC)\nrelies on sampling a discrete model-indicator variable to\nestimate the posterior model probabilities. If only few\nswitches occur between the models, precision may be low and\nassessment based on the assumption of independent samples\nmisleading. Based on the observed transition matrix of the\nindicator variable, the method of Heck, Overstall, Gronau, &\nWagenmakers (2019, Statistics & Computing, 29, 631-643)\n<doi:10.1007/s11222-018-9828-0> draws posterior samples of the\nstationary distribution to (a) assess the uncertainty in the\nestimated posterior model probabilities and (b) estimate the\neffective sample size of the MCMC output.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.2",
  "URL": "https://github.com/danheck/MCMCprecision",
  "VignetteBuilder": "R.rsp",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-10-29 08:49:04 UTC",
    "User": "root"
  },
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-07-22 09:20:08 UTC",
  "RemoteUrl": "https://github.com/cran/MCMCprecision",
  "RemoteRef": "HEAD",
  "RemoteSha": "23e017c53a8d7f2138697e05c9c2a8dfa79de403",
  "_user": "cran",
  "_type": "src",
  "_file": "MCMCprecision_0.4.2.tar.gz",
  "_fileid": "https://r2.ropensci.org/03fd34ef802085c7dafcc5edbd0e90078b4ff851cd3ac109dcebabbb98728992",
  "_filesize": 545293,
  "_sha256": "03fd34ef802085c7dafcc5edbd0e90078b4ff851cd3ac109dcebabbb98728992",
  "_expires": "2027-02-06T08:54:10.000Z",
  "_created": "2026-10-29T08:49:04.000Z",
  "_published": "2026-10-29T08:54:11.977Z",
  "_upstream": "https://github.com/cran/MCMCprecision",
  "_status": "success",
  "_maintainer": {
    "name": "Daniel W. Heck",
    "email": "daniel.heck@uni-marburg.de",
    "login": "danheck",
    "mastodon": "@Daniel_Heck@mastodon.social",
    "bluesky": "@danielheck.bsky.social",
    "orcid": "0000-0002-6302-9252",
    "description": "",
    "uuid": 9395768
  },
  "_jobs": [
    {
      "job": 123350228831,
      "time": 162,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12883959704"
    },
    {
      "job": 123350228963,
      "time": 176,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12884287689"
    },
    {
      "job": 123350228954,
      "time": 145,
      "config": "linux-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12885115392"
    },
    {
      "job": 123350228766,
      "time": 195,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12883834936"
    },
    {
      "job": 123348553455,
      "time": 250,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12884053869"
    },
    {
      "job": 123350228735,
      "time": 113,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "12884696321"
    },
    {
      "job": 123350228976,
      "time": 226,
      "config": "windows-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12884393490"
    },
    {
      "job": 123350228888,
      "time": 214,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12884771978"
    },
    {
      "job": 123350228790,
      "time": 222,
      "config": "windows-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12885210455"
    },
    {
      "job": 123350228799,
      "time": 134,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12884094424"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/40844444575",
  "_commit": {
    "id": "23e017c53a8d7f2138697e05c9c2a8dfa79de403",
    "author": "Daniel W. Heck <daniel.heck@uni-marburg.de>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.4.2\n",
    "time": 1753176008
  },
  "_distro": "resolute",
  "_host": "GitHub-Actions",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.0.0",
      "role": "Depends"
    },
    {
      "package": "Rcpp",
      "role": "LinkingTo"
    },
    {
      "package": "RcppArmadillo",
      "role": "LinkingTo"
    },
    {
      "package": "RcppProgress",
      "role": "LinkingTo"
    },
    {
      "package": "RcppEigen",
      "role": "LinkingTo"
    },
    {
      "package": "Rcpp",
      "role": "Imports"
    },
    {
      "package": "parallel",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "Matrix",
      "role": "Imports"
    },
    {
      "package": "combinat",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "R.rsp",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 3,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "danheck",
      "count": 1,
      "uuid": 9395768
    }
  ],
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "followers": 634,
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 4294,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/MCMCprecision"
  },
  "_devurl": "https://github.com/danheck/mcmcprecision",
  "_searchresults": 0,
  "_topics": [
    "openblas",
    "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/MCMCprecision.html",
    "extra/NEWS.html",
    "extra/NEWS.txt"
  ],
  "_homeurl": "https://github.com/danheck/mcmcprecision",
  "_realowner": "danheck",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.3.6",
      "date": "2017-04-03"
    },
    {
      "version": "0.3.7",
      "date": "2017-08-04"
    },
    {
      "version": "0.3.8",
      "date": "2018-04-08"
    },
    {
      "version": "0.3.9",
      "date": "2018-08-10"
    },
    {
      "version": "0.4.0",
      "date": "2019-12-05"
    },
    {
      "version": "0.4.2",
      "date": "2025-07-22"
    }
  ],
  "_exports": [
    "best_models",
    "fit_dirichlet",
    "rdirichlet",
    "rmarkov",
    "stationary",
    "stationary_mle",
    "transitions"
  ],
  "_help": [
    {
      "page": "MCMCprecision-package",
      "title": "MCMCprecision: Precision of discrete parameters in transdimensional MCMC",
      "topics": [
        "MCMCprecision-package",
        "MCMCprecision"
      ]
    },
    {
      "page": "best_models",
      "title": "Precision for the k Best-Performing Models",
      "topics": [
        "best_models"
      ]
    },
    {
      "page": "fit_dirichlet",
      "title": "Estimate Parameters of Dirichlet Distribution",
      "topics": [
        "fit_dirichlet"
      ]
    },
    {
      "page": "rdirichlet",
      "title": "Random Sample from Dirichlet Distribution",
      "topics": [
        "rdirichlet"
      ]
    },
    {
      "page": "rmarkov",
      "title": "Generate a sample of a discrete-state Markov chain",
      "topics": [
        "rmarkov"
      ]
    },
    {
      "page": "stationary",
      "title": "Precision of stationary distribution for discrete MCMC variables",
      "topics": [
        "stationary"
      ]
    },
    {
      "page": "stationary_mle",
      "title": "MLE for stationary distribution of discrete MCMC variables",
      "topics": [
        "stationary_mle"
      ]
    },
    {
      "page": "summary.stationary",
      "title": "Summary for Posterior Model Probabilities",
      "topics": [
        "summary.stationary"
      ]
    },
    {
      "page": "transitions",
      "title": "Get matrix of observed transition frequencies",
      "topics": [
        "transitions"
      ]
    }
  ],
  "_rundeps": [
    "combinat",
    "lattice",
    "Matrix",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "RcppProgress"
  ],
  "_sysdeps": [
    {
      "shlib": "liblapack",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.32+ds-5",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "shlib": "libblas",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.32+ds-5",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    }
  ],
  "_vignettes": [
    {
      "source": "Heck_2018_Statistics_and_Computing.pdf.asis",
      "filename": "Heck_2018_Statistics_and_Computing.pdf",
      "title": "Heck, Overstall, Gronau, & Wagenmakers (2018, Statistics & Computing): Methods implemented in MCMCprecision",
      "engine": "R.rsp::asis",
      "headings": [
        "Quantifying uncertainty in transdimensional Markov chain  Monte Carlo using discrete Markov models"
      ],
      "created": "2018-08-10 12:40:03",
      "modified": "2018-08-10 12:40:03",
      "commits": 1
    }
  ],
  "_score": 3.5871045495395544,
  "_indexed": false,
  "_nocasepkg": "mcmcprecision",
  "_universes": [
    "cran"
  ],
  "_indexurl": "https://danheck.r-universe.dev/MCMCprecision",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.4.2",
      "date": "2026-10-29T08:51:45.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "23e017c53a8d7f2138697e05c9c2a8dfa79de403",
      "fileid": "https://r2.ropensci.org/1b48d9b0cee5c1661b20807e58c0443f5709d0c40f7717622a7eee6105b979e9",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40844444575"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.4.2",
      "date": "2026-10-29T08:51:43.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "23e017c53a8d7f2138697e05c9c2a8dfa79de403",
      "fileid": "https://r2.ropensci.org/4f004e66efe3b1ba76060d44dc1d0d671ae1d90a18e85c1c07e3b8ca789c767d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40844444575"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.4.2",
      "date": "2026-10-29T08:51:31.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "23e017c53a8d7f2138697e05c9c2a8dfa79de403",
      "fileid": "https://r2.ropensci.org/7a031d09309e80ec13797a6d7f9c8e5e30d8f5f0693bb59a5cab8b9e5132a9d7",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40844444575"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.4.2",
      "date": "2026-10-29T08:52:07.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "23e017c53a8d7f2138697e05c9c2a8dfa79de403",
      "fileid": "https://r2.ropensci.org/8914efb22bd535cf5393a810c1eac2fcf05840f23fb3ed82d4efd119e7717146",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40844444575"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.4.2",
      "date": "2026-10-29T08:51:30.000Z",
      "arch": "emscripten",
      "commit": "23e017c53a8d7f2138697e05c9c2a8dfa79de403",
      "fileid": "https://r2.ropensci.org/37a8d264f16721c8e0e45e21094654a99db70909970b3781a1bfbf6570cb8424",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40844444575"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.4.2",
      "date": "2026-10-29T08:52:37.000Z",
      "arch": "aarch64",
      "commit": "23e017c53a8d7f2138697e05c9c2a8dfa79de403",
      "fileid": "https://r2.ropensci.org/055b3a9a41e001ed672c091d78852a4c5985cd47f5c4e201fb02e0ce8cdef218",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40844444575"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.4.2",
      "date": "2026-10-29T08:50:49.000Z",
      "arch": "x86_64",
      "commit": "23e017c53a8d7f2138697e05c9c2a8dfa79de403",
      "fileid": "https://r2.ropensci.org/62a68810f5837b6d94eb3d369491f318acba337c5aeffbf221129d95669d0bee",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40844444575"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.4.2",
      "date": "2026-10-29T08:52:31.000Z",
      "arch": "aarch64",
      "commit": "23e017c53a8d7f2138697e05c9c2a8dfa79de403",
      "fileid": "https://r2.ropensci.org/ebfd769f60e391486d385e0b5ca49a3df6a8411f11e0ef60b126e111eb38694d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40844444575"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.4.2",
      "date": "2026-10-29T08:50:54.000Z",
      "arch": "x86_64",
      "commit": "23e017c53a8d7f2138697e05c9c2a8dfa79de403",
      "fileid": "https://r2.ropensci.org/e0c2dc49cdf819dd05f7850d68543c327924b9c5a3cb59b3c54baac8308d49a6",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40844444575"
    }
  ]
}