{
  "_id": "6a1bf1f11d7bb097a0a237ad",
  "Package": "bayesSurv",
  "Version": "3.8",
  "Date": "2024-09-16",
  "Title": "Bayesian Survival Regression with Flexible Error and Random\nEffects Distributions",
  "Authors@R": "person(given = \"Arnošt\", family = \"Komárek\", role = c(\"aut\", \"cre\"), email = \"arnost.komarek@mff.cuni.cz\", comment = c(ORCID = \"0000-0001-8778-3762\"))",
  "Description": "Contains Bayesian implementations of the Mixed-Effects\nAccelerated Failure Time (MEAFT) models for censored data.\nThose can be not only right-censored but also\ninterval-censored, doubly-interval-censored or misclassified\ninterval-censored. The methods implemented in the package have\nbeen published in Komárek and Lesaffre (2006, Stat. Modelling)\n<doi:10.1191/1471082X06st107oa>, Komárek, Lesaffre and Legrand\n(2007, Stat. in Medicine) <doi:10.1002/sim.3083>, Komárek and\nLesaffre (2007, Stat. Sinica)\n<https://www3.stat.sinica.edu.tw/statistica/oldpdf/A17n27.pdf>,\nKomárek and Lesaffre (2008, JASA)\n<doi:10.1198/016214507000000563>, García-Zattera, Jara and\nKomárek (2016, Biometrics) <doi:10.1111/biom.12424>.",
  "Encoding": "UTF-8",
  "License": "GPL (>= 2)",
  "URL": "https://msekce.karlin.mff.cuni.cz/~komarek/",
  "ZipData": "no",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-05-31 08:26:55 UTC",
    "User": "root"
  },
  "Author": "Arnošt Komárek [aut, cre]\n(<https://orcid.org/0000-0001-8778-3762>)",
  "Maintainer": "Arnošt Komárek <arnost.komarek@mff.cuni.cz>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2024-09-17 02:32:58 UTC",
  "RemoteUrl": "https://github.com/cran/bayesSurv",
  "RemoteRef": "HEAD",
  "RemoteSha": "90e3bebc8d4d0c613782b68c4ffe77dcfa9fdaea",
  "MD5sum": "51599472a79de023603bf27c5119c9c2",
  "_user": "cran",
  "_type": "src",
  "_file": "bayesSurv_3.8.tar.gz",
  "_fileid": "dc010460ac60ff15ef6bd6e9a5b2f65ed7e5985f187d82cae7a2ff2af3a33881",
  "_filesize": 1258644,
  "_sha256": "dc010460ac60ff15ef6bd6e9a5b2f65ed7e5985f187d82cae7a2ff2af3a33881",
  "_created": "2026-05-31T08:26:55.000Z",
  "_published": "2026-05-31T08:31:45.693Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 78712030510,
      "time": 184,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7315242251"
    },
    {
      "job": 78712030513,
      "time": 192,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7315243120"
    },
    {
      "job": 78712030508,
      "time": 179,
      "config": "linux-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7315241683"
    },
    {
      "job": 78712030521,
      "time": 186,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7315242535"
    },
    {
      "job": 78711840041,
      "time": 220,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7315222750"
    },
    {
      "job": 78712030493,
      "time": 178,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7315241518"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/26707628123",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/bayesSurv",
  "_commit": {
    "id": "90e3bebc8d4d0c613782b68c4ffe77dcfa9fdaea",
    "author": "Arnošt Komárek <arnost.komarek@mff.cuni.cz>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 3.8\n",
    "time": 1726540378
  },
  "_maintainer": {
    "name": "Arnošt Komárek",
    "email": "arnost.komarek@mff.cuni.cz",
    "orcid": "0000-0001-8778-3762"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.0.0",
      "role": "Depends"
    },
    {
      "package": "survival",
      "role": "Depends"
    },
    {
      "package": "coda",
      "role": "Depends"
    },
    {
      "package": "smoothSurv",
      "role": "Depends"
    },
    {
      "package": "graphics",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "akom5224",
      "count": 1,
      "uuid": 24692842
    }
  ],
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 382,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/bayesSurv"
  },
  "_mentions": 1,
  "_searchresults": 56,
  "_topics": [
    "openblas",
    "cpp"
  ],
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/bayesSurv.html",
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "manual.pdf"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.1",
      "date": "2004-12-27"
    },
    {
      "version": "0.3",
      "date": "2005-09-05"
    },
    {
      "version": "0.3-1",
      "date": "2005-09-07"
    },
    {
      "version": "0.3-2",
      "date": "2005-09-23"
    },
    {
      "version": "0.3-3",
      "date": "2005-11-18"
    },
    {
      "version": "0.4",
      "date": "2005-12-07"
    },
    {
      "version": "0.4-1",
      "date": "2006-06-16"
    },
    {
      "version": "0.5",
      "date": "2007-01-17"
    },
    {
      "version": "0.5-1",
      "date": "2007-01-18"
    },
    {
      "version": "0.5-2",
      "date": "2007-02-11"
    },
    {
      "version": "0.5-3",
      "date": "2007-03-01"
    },
    {
      "version": "0.5-4",
      "date": "2007-03-23"
    },
    {
      "version": "0.5-6",
      "date": "2007-05-18"
    },
    {
      "version": "0.5-7",
      "date": "2007-05-29"
    },
    {
      "version": "0.5-8",
      "date": "2007-08-25"
    },
    {
      "version": "0.5-9",
      "date": "2007-10-27"
    },
    {
      "version": "0.5-10",
      "date": "2008-06-26"
    },
    {
      "version": "0.6",
      "date": "2008-11-26"
    },
    {
      "version": "0.6-1",
      "date": "2008-12-06"
    },
    {
      "version": "0.6-2",
      "date": "2010-01-03"
    },
    {
      "version": "1.0-1",
      "date": "2012-06-19"
    },
    {
      "version": "1.1",
      "date": "2012-12-27"
    },
    {
      "version": "2.1-1",
      "date": "2013-06-11"
    },
    {
      "version": "2.3",
      "date": "2014-06-20"
    },
    {
      "version": "2.3-1",
      "date": "2014-08-09"
    },
    {
      "version": "2.4",
      "date": "2015-02-05"
    },
    {
      "version": "2.6",
      "date": "2015-07-27"
    },
    {
      "version": "3.0",
      "date": "2017-05-29"
    },
    {
      "version": "3.1",
      "date": "2017-09-24"
    },
    {
      "version": "3.2",
      "date": "2018-01-11"
    },
    {
      "version": "3.3",
      "date": "2020-02-11"
    },
    {
      "version": "3.4",
      "date": "2022-04-20"
    },
    {
      "version": "3.5",
      "date": "2022-10-09"
    },
    {
      "version": "3.6",
      "date": "2022-12-05"
    },
    {
      "version": "3.7",
      "date": "2023-12-18"
    },
    {
      "version": "3.8",
      "date": "2024-09-16"
    }
  ],
  "_exports": [
    "bayesBisurvreg",
    "bayesBisurvreg.checkStore",
    "bayesBisurvreg.priorBeta",
    "bayesBisurvreg.priorInit",
    "bayesBisurvreg.writeHeaders",
    "bayesDensity",
    "bayesGspline",
    "bayesHistogram",
    "bayesHistogram.checkStore",
    "bayesHistogram.design",
    "bayesHistogram.priorInit",
    "bayesHistogram.writeHeaders",
    "bayessurvreg.checknsimul",
    "bayessurvreg.design",
    "bayessurvreg1",
    "bayessurvreg1.checkStore",
    "bayessurvreg1.files2init",
    "bayessurvreg1.priorb",
    "bayessurvreg1.priorBeta",
    "bayessurvreg1.priorInit",
    "bayessurvreg1.revjump",
    "bayessurvreg1.writeHeaders",
    "bayessurvreg2",
    "bayessurvreg2.checkStore",
    "bayessurvreg2.priorb",
    "bayessurvreg2.priorBeta",
    "bayessurvreg2.priorInit",
    "bayessurvreg2.writeHeaders",
    "bayessurvreg3",
    "bayessurvreg3.checkrho",
    "bayessurvreg3.checkStore",
    "bayessurvreg3.priorb",
    "bayessurvreg3.priorBeta",
    "bayessurvreg3.priorInit",
    "bayessurvreg3.priorinitNb",
    "bayessurvreg3.writeHeaders",
    "bayessurvreg3Para",
    "C_bayesBisurvreg",
    "C_bayesDensity",
    "C_bayesGspline",
    "C_bayesHistogram",
    "C_bayessurvreg1",
    "C_bayessurvreg2",
    "C_cholesky",
    "C_findClosestKnot",
    "C_iPML_misclass_GJK",
    "C_marginal_bayesGspline",
    "C_midimputeData",
    "C_midimputeDataDoubly",
    "C_predictive",
    "C_predictive_GS",
    "C_rmvnormR2006",
    "C_rwishartR3",
    "C_sampledKendallTau",
    "clean.Gspline",
    "credible.region",
    "densplot2",
    "files2coda",
    "give.init.Gspline",
    "give.init.r",
    "give.init.y",
    "give.init.y2",
    "give.summary",
    "marginal.bayesGspline",
    "plot.bayesDensity",
    "plot.bayesGspline",
    "plot.marginal.bayesGspline",
    "predictive",
    "predictive.control",
    "predictive2",
    "predictive2.control",
    "predictive2Para",
    "print.bayesDensity",
    "print.simult.pvalue",
    "rMVNorm",
    "rWishart",
    "sampleCovMat",
    "sampled.kendall.tau",
    "scanFN",
    "simult.pvalue",
    "traceplot2",
    "vecr2matr",
    "write.headers.Gspline"
  ],
  "_datasets": [
    {
      "name": "cgd",
      "title": "Chronic Granulomatous Disease data",
      "object": "cgd",
      "file": "cgd.RData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "hospit",
        "ID",
        "RDT",
        "IDT",
        "trtmt",
        "inherit",
        "age",
        "height",
        "weight",
        "cortico",
        "prophy",
        "gender",
        "hcat",
        "T1",
        "T2",
        "event",
        "sequence"
      ],
      "rows": 203,
      "table": true,
      "tojson": true
    },
    {
      "name": "tandmob2",
      "title": "Signal Tandmobiel data, version 2",
      "object": "tandmob2",
      "file": "tandmob2.RData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "IDNR",
        "GENDER",
        "GENDERNum",
        "DOB",
        "PROVINCE",
        "EDUC",
        "STARTBR",
        "FLUOR",
        "BAD.53",
        "BAD.63",
        "BAD.73",
        "BAD.83",
        "BAD.54",
        "BAD.64",
        "BAD.74",
        "BAD.84",
        "BAD.55",
        "BAD.65",
        "BAD.75",
        "BAD.85",
        "EBEG.11",
        "EEND.11",
        "EBEG.21",
        "EEND.21",
        "EBEG.31",
        "EEND.31",
        "EBEG.41",
        "EEND.41",
        "EBEG.12",
        "EEND.12",
        "EBEG.22",
        "EEND.22",
        "EBEG.32",
        "EEND.32",
        "EBEG.42",
        "EEND.42",
        "EBEG.13",
        "EEND.13",
        "EBEG.23",
        "EEND.23",
        "EBEG.33",
        "EEND.33",
        "EBEG.43",
        "EEND.43",
        "EBEG.14",
        "EEND.14",
        "EBEG.24",
        "EEND.24",
        "EBEG.34",
        "EEND.34",
        "EBEG.44",
        "EEND.44",
        "EBEG.15",
        "EEND.15",
        "EBEG.25",
        "EEND.25",
        "EBEG.35",
        "EEND.35",
        "EBEG.45",
        "EEND.45",
        "EBEG.16",
        "EEND.16",
        "EBEG.26",
        "EEND.26",
        "EBEG.36",
        "EEND.36",
        "EBEG.46",
        "EEND.46",
        "EBEG.17",
        "EEND.17",
        "EBEG.27",
        "EEND.27",
        "EBEG.37",
        "EEND.37",
        "EBEG.47",
        "EEND.47",
        "FBEG.11",
        "FEND.11",
        "FBEG.21",
        "FEND.21",
        "FBEG.31",
        "FEND.31",
        "FBEG.41",
        "FEND.41",
        "FBEG.12",
        "FEND.12",
        "FBEG.22",
        "FEND.22",
        "FBEG.32",
        "FEND.32",
        "FBEG.42",
        "FEND.42",
        "FBEG.13",
        "FEND.13",
        "FBEG.23",
        "FEND.23",
        "FBEG.33",
        "FEND.33",
        "FBEG.43",
        "FEND.43",
        "FBEG.14",
        "FEND.14",
        "FBEG.24",
        "FEND.24",
        "FBEG.34",
        "FEND.34",
        "FBEG.44",
        "FEND.44",
        "FBEG.15",
        "FEND.15",
        "FBEG.25",
        "FEND.25",
        "FBEG.35",
        "FEND.35",
        "FBEG.45",
        "FEND.45",
        "FBEG.16",
        "FEND.16",
        "FBEG.26",
        "FEND.26",
        "FBEG.36",
        "FEND.36",
        "FBEG.46",
        "FEND.46",
        "FBEG.17",
        "FEND.17",
        "FBEG.27",
        "FEND.27",
        "FBEG.37",
        "FEND.37",
        "FBEG.47",
        "FEND.47",
        "T53.DMF",
        "T63.DMF",
        "T73.DMF",
        "T83.DMF",
        "T54.DMF",
        "T64.DMF",
        "T74.DMF",
        "T84.DMF",
        "T55.DMF",
        "T65.DMF",
        "T75.DMF",
        "T85.DMF",
        "T53.CAR",
        "T63.CAR",
        "T73.CAR",
        "T83.CAR",
        "T54.CAR",
        "T64.CAR",
        "T74.CAR",
        "T84.CAR",
        "T55.CAR",
        "T65.CAR",
        "T75.CAR",
        "T85.CAR"
      ],
      "rows": 4430,
      "table": true,
      "tojson": true
    },
    {
      "name": "tandmobRoos",
      "title": "Signal Tandmobiel data, version Roos",
      "object": "tandmobRoos",
      "file": "tandmobRoos.RData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "IDNR",
        "GENDER",
        "DOB",
        "PROVINCE",
        "EDUC",
        "GIRL",
        "EBEG.16",
        "EEND.16",
        "FBEG.16",
        "FEND.16",
        "EBEG.26",
        "EEND.26",
        "FBEG.26",
        "FEND.26",
        "EBEG.36",
        "EEND.36",
        "FBEG.36",
        "FEND.36",
        "EBEG.46",
        "EEND.46",
        "FBEG.46",
        "FEND.46",
        "TOOTH.16",
        "TOOTH.26",
        "TOOTH.36",
        "TOOTH.46",
        "T54d",
        "T54m",
        "T54f",
        "T54s",
        "T55d",
        "T55m",
        "T55f",
        "T55s",
        "T64d",
        "T64m",
        "T64f",
        "T64s",
        "T65d",
        "T65m",
        "T65f",
        "T65s",
        "T74d",
        "T74m",
        "T74f",
        "T74s",
        "T75d",
        "T75m",
        "T75f",
        "T75s",
        "T84d",
        "T84m",
        "T84f",
        "T84s",
        "T85d",
        "T85m",
        "T85f",
        "T85s",
        "SEAL.16",
        "SEAL.26",
        "SEAL.36",
        "SEAL.46",
        "FREQ.BR",
        "PLAQUE.16.1",
        "PLAQUE.16.2",
        "PLAQUE.26.1",
        "PLAQUE.26.2",
        "PLAQUE.36.1",
        "PLAQUE.36.2",
        "PLAQUE.46.1",
        "PLAQUE.46.2"
      ],
      "rows": 4394,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "bayesBisurvreg",
      "title": "Population-averaged accelerated failure time model for bivariate, possibly doubly-interval-censored data. The error distribution is expressed as a penalized bivariate normal mixture with high number of components (bivariate G-spline).",
      "topics": [
        "bayesBisurvreg",
        "C_bayesBisurvreg"
      ]
    },
    {
      "page": "bayesDensity",
      "title": "Summary for the density estimate based on the mixture Bayesian AFT model.",
      "topics": [
        "bayesDensity",
        "C_bayesDensity"
      ]
    },
    {
      "page": "bayesGspline",
      "title": "Summary for the density estimate based on the model with Bayesian G-splines.",
      "topics": [
        "bayesGspline",
        "C_bayesGspline"
      ]
    },
    {
      "page": "bayesHistogram",
      "title": "Smoothing of a uni- or bivariate histogram using Bayesian G-splines",
      "topics": [
        "bayesHistogram",
        "C_bayesHistogram"
      ]
    },
    {
      "page": "bayessurvreg1",
      "title": "A Bayesian survival regression with an error distribution expressed as a~normal mixture with unknown number of components",
      "topics": [
        "bayessurvreg1",
        "C_bayessurvreg1",
        "C_cholesky"
      ]
    },
    {
      "page": "bayessurvreg1.files2init",
      "title": "Read the initial values for the Bayesian survival regression model to the list.",
      "topics": [
        "bayessurvreg1.files2init"
      ]
    },
    {
      "page": "bayessurvreg2",
      "title": "Cluster-specific accelerated failure time model for multivariate, possibly doubly-interval-censored data. The error distribution is expressed as a penalized univariate normal mixture with high number of components (G-spline). The distribution of the vector of random effects is multivariate normal.",
      "topics": [
        "bayessurvreg2",
        "C_bayessurvreg2"
      ]
    },
    {
      "page": "bayessurvreg3",
      "title": "Cluster-specific accelerated failure time model for multivariate, possibly doubly-interval-censored data with flexibly specified random effects and/or error distribution.",
      "topics": [
        "bayessurvreg3",
        "bayessurvreg3Para",
        "C_iPML_misclass_GJK"
      ]
    },
    {
      "page": "cgd",
      "title": "Chronic Granulomatous Disease data",
      "topics": [
        "cgd"
      ]
    },
    {
      "page": "credible.region",
      "title": "Compute a simultaneous credible region (rectangle) from a sample for a vector valued parameter.",
      "topics": [
        "credible.region"
      ]
    },
    {
      "page": "densplot2",
      "title": "Probability density function estimate from MCMC output",
      "topics": [
        "densplot2"
      ]
    },
    {
      "page": "files2coda",
      "title": "Read the sampled values from the Bayesian survival regression model to a coda mcmc object.",
      "topics": [
        "files2coda"
      ]
    },
    {
      "page": "give.summary",
      "title": "Brief summary for the chain(s) obtained using the MCMC.",
      "topics": [
        "give.summary"
      ]
    },
    {
      "page": "marginal.bayesGspline",
      "title": "Summary for the marginal density estimates based on the bivariate model with Bayesian G-splines.",
      "topics": [
        "C_marginal_bayesGspline",
        "marginal.bayesGspline"
      ]
    },
    {
      "page": "plot.bayesDensity",
      "title": "Plot an object of class bayesDensity",
      "topics": [
        "plot.bayesDensity"
      ]
    },
    {
      "page": "plot.bayesGspline",
      "title": "Plot an object of class bayesGspline",
      "topics": [
        "plot.bayesGspline"
      ]
    },
    {
      "page": "plot.marginal.bayesGspline",
      "title": "Plot an object of class marginal.bayesGspline",
      "topics": [
        "plot.marginal.bayesGspline"
      ]
    },
    {
      "page": "predictive",
      "title": "Compute predictive quantities based on a Bayesian survival regression model fitted using bayessurvreg1 function.",
      "topics": [
        "C_predictive",
        "predictive",
        "predictive.control"
      ]
    },
    {
      "page": "predictive2",
      "title": "Compute predictive quantities based on a Bayesian survival regression model fitted using bayesBisurvreg or bayessurvreg2 or bayessurvreg3 functions.",
      "topics": [
        "C_predictive_GS",
        "predictive2",
        "predictive2.control",
        "predictive2Para"
      ]
    },
    {
      "page": "print.bayesDensity",
      "title": "Print a summary for the density estimate based on the Bayesian model.",
      "topics": [
        "print.bayesDensity"
      ]
    },
    {
      "page": "rMVNorm",
      "title": "Sample from the multivariate normal distribution",
      "topics": [
        "C_rmvnormR2006",
        "rMVNorm"
      ]
    },
    {
      "page": "rWishart",
      "title": "Sample from the Wishart distribution",
      "topics": [
        "C_rwishartR3",
        "rWishart"
      ]
    },
    {
      "page": "sampleCovMat",
      "title": "Compute a sample covariance matrix.",
      "topics": [
        "sampleCovMat"
      ]
    },
    {
      "page": "sampled.kendall.tau",
      "title": "Estimate of the Kendall's tau from the bivariate model",
      "topics": [
        "C_sampledKendallTau",
        "sampled.kendall.tau"
      ]
    },
    {
      "page": "scanFN",
      "title": "Read Data Values",
      "topics": [
        "scanFN"
      ]
    },
    {
      "page": "simult.pvalue",
      "title": "Compute a simultaneous p-value from a sample for a vector valued parameter.",
      "topics": [
        "print.simult.pvalue",
        "simult.pvalue"
      ]
    },
    {
      "page": "tandmob2",
      "title": "Signal Tandmobiel data, version 2",
      "topics": [
        "tandmob2"
      ]
    },
    {
      "page": "tandmobRoos",
      "title": "Signal Tandmobiel data, version Roos",
      "topics": [
        "tandmobRoos"
      ]
    },
    {
      "page": "traceplot2",
      "title": "Trace plot of MCMC output.",
      "topics": [
        "traceplot2"
      ]
    },
    {
      "page": "vecr2matr",
      "title": "Transform single component indeces to double component indeces",
      "topics": [
        "vecr2matr"
      ]
    }
  ],
  "_rundeps": [
    "coda",
    "lattice",
    "Matrix",
    "smoothSurv",
    "survival"
  ],
  "_sysdeps": [
    {
      "shlib": "liblapack",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.26+ds-1ubuntu0.1",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "shlib": "libblas",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.26+ds-1ubuntu0.1",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "14.2.0-4ubuntu2~24.04.1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    }
  ],
  "_score": 1.7481880270062002,
  "_indexed": true,
  "_nocasepkg": "bayessurv",
  "_universes": [
    "cran"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "3.8",
      "date": "2026-05-31T08:29:55.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "90e3bebc8d4d0c613782b68c4ffe77dcfa9fdaea",
      "fileid": "a71ed8d8e6d98d544f55b207d0b929cac148ad401591e214a0c054c61026974c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26707628123"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "3.8",
      "date": "2026-05-31T08:29:54.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "90e3bebc8d4d0c613782b68c4ffe77dcfa9fdaea",
      "fileid": "f9cd6fb94468e8895bf7d831000140874a2cc033116deb3231fdbac8ad8186c4",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26707628123"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "3.8",
      "date": "2026-05-31T08:29:47.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "90e3bebc8d4d0c613782b68c4ffe77dcfa9fdaea",
      "fileid": "de28caf47cedadc1385fa3ebd539a5117c0b3653055b903e2a9b83205bd3a3f2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26707628123"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "3.8",
      "date": "2026-05-31T08:29:55.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "90e3bebc8d4d0c613782b68c4ffe77dcfa9fdaea",
      "fileid": "1a2d1002f51d5f3ce49bc8740e58aba4ae7831806e779ea849f9a4e46d76d55d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26707628123"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "3.8",
      "date": "2026-05-31T08:30:06.000Z",
      "arch": "emscripten",
      "commit": "90e3bebc8d4d0c613782b68c4ffe77dcfa9fdaea",
      "fileid": "9331bd54b59a18819856ffe4b8e7d7ae9e8a7fef6862bc82c3caf45543c08cb0",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26707628123"
    }
  ]
}