{
  "_id": "6ad20b2f1200a4993021205b",
  "Package": "Boom",
  "Version": "0.9.17",
  "Date": "2026-09-15",
  "Title": "Bayesian Object Oriented Modeling",
  "Authors@R": "person(given = \"Steven L.\", family = \"Scott\", role = c(\"aut\", \"cre\"),\nemail=\"steve.the.bayesian@gmail.com\",\ncomment = \"Steven L. Scott is the sole author and creator of the BOOM\nproject.  Some code in the BOOM libraries has been modified from other open\nsource projects.  These include Cephes (obtained from Netlib, written by\nStephen L. Moshier), NEWUOA (M.J.D Powell, obtained from Powell's web site),\nand a modified version of the R math libraries (R core development team).\nOriginal copyright notices have been maintained in all source files.  In\nthese cases, copyright claimed by Steven L. Scott is limited to modifications\nmade to the original code.  Google claims copyright for code written while\nSteven L. Scott was employed at Google from 2008 - 2018, but BOOM is not an\nofficially supported Google project.\")",
  "Description": "A C++ library for Bayesian modeling, with an emphasis on\nMarkov chain Monte Carlo.  Although boom contains a few R\nutilities (mainly plotting functions), its primary purpose is\nto install the BOOM C++ library on your system so that other\npackages can link against it.",
  "License": "LGPL-2.1 | file LICENSE",
  "Encoding": "UTF-8",
  "SystemRequirements": "GNU Make",
  "BugReports": "https://github.com/steve-the-bayesian/BOOM/issues",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-10-16 10:50:41 UTC",
    "User": "root"
  },
  "Author": "Steven L. Scott [aut, cre] (Steven L. Scott is the sole author\nand creator of the BOOM project.  Some code in the BOOM\nlibraries has been modified from other open source projects.\nThese include Cephes (obtained from Netlib, written by Stephen\nL. Moshier), NEWUOA (M.J.D Powell, obtained from Powell's web\nsite), and a modified version of the R math libraries (R core\ndevelopment team). Original copyright notices have been\nmaintained in all source files.  In these cases, copyright\nclaimed by Steven L. Scott is limited to modifications made to\nthe original code.  Google claims copyright for code written\nwhile Steven L. Scott was employed at Google from 2008 - 2018,\nbut BOOM is not an officially supported Google project.)",
  "Maintainer": "Steven L. Scott <steve.the.bayesian@gmail.com>",
  "Config/pak/sysreqs": "make",
  "Repository": "https://steve-the-bayesian.r-universe.dev",
  "Date/Publication": "2026-09-16 06:20:02 UTC",
  "RemoteUrl": "https://github.com/cran/Boom",
  "RemoteRef": "HEAD",
  "RemoteSha": "598578af3d4a2eff8a7249456d7700d231ebee6b",
  "_user": "steve-the-bayesian",
  "_type": "src",
  "_file": "Boom_0.9.17.tar.gz",
  "_fileid": "https://r2.ropensci.org/9cb834257b5111094e4c71720f69583b8944b06817540ce901831828b3defab0",
  "_filesize": 2883559,
  "_sha256": "9cb834257b5111094e4c71720f69583b8944b06817540ce901831828b3defab0",
  "_expires": "2027-01-24T11:31:57.000Z",
  "_created": "2026-10-16T10:50:41.000Z",
  "_published": "2026-10-16T11:31:59.416Z",
  "_buildurl": "https://github.com/r-universe/steve-the-bayesian/actions/runs/38889618806",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_jobs": [
    {
      "job": 116940620273,
      "time": 677,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12042630772"
    },
    {
      "job": 116940620463,
      "time": 649,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12042053051"
    },
    {
      "job": 116940620246,
      "time": 688,
      "config": "linux-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12042620727"
    },
    {
      "job": 116940620259,
      "time": 807,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12042905041"
    },
    {
      "job": 116940620291,
      "time": 815,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "12042372839"
    },
    {
      "job": 116940620280,
      "time": 1755,
      "config": "macos-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "12043177055"
    },
    {
      "job": 116940620274,
      "time": 892,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12041709034"
    },
    {
      "job": 116940620310,
      "time": 1694,
      "config": "macos-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12043485902"
    },
    {
      "job": 116935762098,
      "time": 821,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12042320792"
    },
    {
      "job": 116940620411,
      "time": 635,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "12041834014"
    },
    {
      "job": 116940620350,
      "time": 1403,
      "config": "windows-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12043155666"
    },
    {
      "job": 116940620394,
      "time": 853,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12042581466"
    },
    {
      "job": 116940620281,
      "time": 1076,
      "config": "windows-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "12043120058"
    },
    {
      "job": 116940620242,
      "time": 1444,
      "config": "windows-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12043485253"
    },
    {
      "job": 116940620348,
      "time": 1356,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12042807339"
    }
  ],
  "_upstream": "https://github.com/cran/Boom",
  "_commit": {
    "id": "598578af3d4a2eff8a7249456d7700d231ebee6b",
    "author": "Steven L. Scott <steve.the.bayesian@gmail.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.9.17\n",
    "time": 1789539602
  },
  "_maintainer": {
    "name": "Steven L. Scott",
    "email": "steve.the.bayesian@gmail.com",
    "login": "steve-the-bayesian",
    "description": "",
    "uuid": 5853653
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "MASS",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "role": "Suggests"
    },
    {
      "package": "zoo",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 9,
  "_updates": [
    {
      "week": "2026-38",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "0.9.17",
      "date": "2026-09-16"
    }
  ],
  "_stars": 10,
  "_contributors": [
    {
      "user": "steve-the-bayesian",
      "count": 19,
      "uuid": 5853653
    }
  ],
  "_userbio": {
    "uuid": 5853653,
    "type": "user",
    "name": "steve-the-bayesian",
    "followers": 37
  },
  "_downloads": {
    "count": 5550,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/Boom"
  },
  "_devurl": "https://github.com/steve-the-bayesian/boom",
  "_searchresults": 74,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/Boom.html",
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "LICENSE"
  ],
  "_realowner": "steve-the-bayesian",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.1",
      "date": "2014-06-21"
    },
    {
      "version": "0.2",
      "date": "2014-12-03"
    },
    {
      "version": "0.3",
      "date": "2016-03-15"
    },
    {
      "version": "0.4",
      "date": "2016-05-21"
    },
    {
      "version": "0.5",
      "date": "2016-08-18"
    },
    {
      "version": "0.6",
      "date": "2017-04-07"
    },
    {
      "version": "0.7",
      "date": "2017-05-28"
    },
    {
      "version": "0.8",
      "date": "2018-04-29"
    },
    {
      "version": "0.9",
      "date": "2019-05-17"
    },
    {
      "version": "0.9.1",
      "date": "2019-06-06"
    },
    {
      "version": "0.9.2",
      "date": "2019-09-03"
    },
    {
      "version": "0.9.3",
      "date": "2019-10-07"
    },
    {
      "version": "0.9.4",
      "date": "2020-03-30"
    },
    {
      "version": "0.9.5",
      "date": "2020-04-15"
    },
    {
      "version": "0.9.6",
      "date": "2020-04-30"
    },
    {
      "version": "0.9.7",
      "date": "2021-02-23"
    },
    {
      "version": "0.9.8",
      "date": "2022-05-26"
    },
    {
      "version": "0.9.9",
      "date": "2022-05-27"
    },
    {
      "version": "0.9.10",
      "date": "2022-05-28"
    },
    {
      "version": "0.9.11",
      "date": "2022-11-06"
    },
    {
      "version": "0.9.12",
      "date": "2023-12-13"
    },
    {
      "version": "0.9.13",
      "date": "2023-12-15"
    },
    {
      "version": "0.9.14",
      "date": "2023-12-18"
    },
    {
      "version": "0.9.15",
      "date": "2024-02-03"
    },
    {
      "version": "0.9.16",
      "date": "2025-09-02"
    },
    {
      "version": "0.9.17",
      "date": "2026-09-16"
    }
  ],
  "_exports": [
    "AddExternalLegend",
    "AddSegments",
    "Ar1CoefficientPrior",
    "BetaPrior",
    "BoxplotMcmcMatrix",
    "BoxplotTrue",
    "check.nonnegative.scalar",
    "check.positive.scalar",
    "check.probability.distribution",
    "check.scalar.boolean",
    "check.scalar.integer",
    "check.scalar.probability",
    "CheckMcmcMatrix",
    "CheckMcmcVector",
    "circles",
    "CompareDensities",
    "CompareDynamicDistributions",
    "CompareManyDensities",
    "CompareManyTs",
    "CompareVectorBoxplots",
    "ConvertPosixct",
    "ddirichlet",
    "DefaultPosixctFormats",
    "DetectPosixct",
    "dInverseWishart",
    "dinvgamma",
    "DirichletPrior",
    "DiscreteUniformPrior",
    "dmvn",
    "dWishart",
    "ExternalLegendLayout",
    "GammaPrior",
    "GaussianSuf",
    "GenerateFactorData",
    "histabunch",
    "Intensity",
    "InverseWishartPrior",
    "IsEven",
    "IsOdd",
    "lmgamma",
    "LogIntegratedGaussianLikelihood",
    "LognormalPrior",
    "MarkovPrior",
    "MatchDataFrame",
    "McmcMatrixReport",
    "mscan",
    "MvnDiagonalPrior",
    "MvnGivenSigmaMatrixPrior",
    "MvnIndependentSigmaPrior",
    "MvnPrior",
    "NormalInverseGammaPrior",
    "NormalInverseWishartPrior",
    "NormalPrior",
    "PairsDensity",
    "pinvgamma",
    "PlotDensityContours",
    "PlotDynamicDistribution",
    "PlotMacf",
    "PlotManyTs",
    "PlotUnitTestOutput",
    "PointMassPrior",
    "PoissonPrior",
    "qinvgamma",
    "rdirichlet",
    "ReadUnitTestOutput",
    "RegressionCoefficientConjugatePrior",
    "RegressionSuf",
    "RepList",
    "rinvgamma",
    "rmvn",
    "RVectorFunction",
    "rWishart",
    "ScaledMatrixNormalPrior",
    "SdPrior",
    "SuggestBurnLogLikelihood",
    "thin",
    "ThinMatrix",
    "TimeSeriesBoxplot",
    "ToString",
    "ToString.default",
    "ToString.table",
    "TraceProduct",
    "TruncatedGammaPrior",
    "UniformPrior"
  ],
  "_help": [
    {
      "page": "Boom-package",
      "title": "Boom",
      "topics": [
        "Boom-package",
        "Boom"
      ]
    },
    {
      "page": "add.segments",
      "title": "Function to add horizontal line segments to an existing plot",
      "topics": [
        "add.segments",
        "AddSegments"
      ]
    },
    {
      "page": "ar1.coefficient.prior",
      "title": "Normal prior for an AR1 coefficient",
      "topics": [
        "Ar1CoefficientPrior"
      ]
    },
    {
      "page": "beta.prior",
      "title": "Beta prior for a binomial proportion",
      "topics": [
        "BetaPrior"
      ]
    },
    {
      "page": "boxplot.mcmc.matrix",
      "title": "Plot the distribution of a matrix",
      "topics": [
        "boxplot.mcmc.matrix",
        "BoxplotMcmcMatrix"
      ]
    },
    {
      "page": "boxplot.true",
      "title": "Compare Boxplots to True Values",
      "topics": [
        "boxplot.true",
        "BoxplotTrue"
      ]
    },
    {
      "page": "check",
      "title": "Check MCMC Output",
      "topics": [
        "CheckMcmcMatrix",
        "CheckMcmcVector",
        "McmcMatrixReport"
      ]
    },
    {
      "page": "check.data",
      "title": "Checking data formats",
      "topics": [
        "check.data",
        "check.nonnegative.scalar",
        "check.positive.scalar",
        "check.probability.distribution",
        "check.scalar.boolean",
        "check.scalar.integer",
        "check.scalar.probability"
      ]
    },
    {
      "page": "circles",
      "title": "Draw Circles",
      "topics": [
        "circles"
      ]
    },
    {
      "page": "compare.den",
      "title": "Compare several density estimates.",
      "topics": [
        "compare.den",
        "compare.densities",
        "CompareDen",
        "CompareDensities"
      ]
    },
    {
      "page": "compare.dynamic.distributions",
      "title": "Compare Dynamic Distributions",
      "topics": [
        "CompareDynamicDistributions"
      ]
    },
    {
      "page": "compare.many.densities",
      "title": "Compare several density estimates.",
      "topics": [
        "compare.many.densities",
        "CompareManyDensities"
      ]
    },
    {
      "page": "compare.many.ts",
      "title": "Compares several density estimates.",
      "topics": [
        "compare.many.ts",
        "CompareManyTs"
      ]
    },
    {
      "page": "compare.vector.distributions",
      "title": "Boxplots to compare distributions of vectors",
      "topics": [
        "compare.vector.boxplots",
        "CompareVectorBoxplots"
      ]
    },
    {
      "page": "DetectPosixct",
      "title": "Detect and convert date-time columns in a data frame",
      "topics": [
        "ConvertPosixct",
        "DefaultPosixctFormats",
        "DetectPosixct"
      ]
    },
    {
      "page": "diff.double.model",
      "title": "DiffDoubleModel",
      "topics": [
        "DiffDoubleModel"
      ]
    },
    {
      "page": "dirichlet-distribution",
      "title": "The Dirichlet Distribution",
      "topics": [
        "ddirichlet",
        "rdirichlet"
      ]
    },
    {
      "page": "dirichlet.prior",
      "title": "Dirichlet prior for a multinomial distribution",
      "topics": [
        "DirichletPrior"
      ]
    },
    {
      "page": "discrete-uniform-prior",
      "title": "Discrete prior distributions",
      "topics": [
        "DiscreteUniformPrior",
        "PointMassPrior",
        "PoissonPrior"
      ]
    },
    {
      "page": "dmvn",
      "title": "Multivariate Normal Density",
      "topics": [
        "dmvn"
      ]
    },
    {
      "page": "double.model",
      "title": "Prior distributions for a real valued scalar",
      "topics": [
        "double.model",
        "DoubleModel"
      ]
    },
    {
      "page": "external.legend",
      "title": "Add an external legend to an array of plots.",
      "topics": [
        "AddExternalLegend",
        "ExternalLegendLayout"
      ]
    },
    {
      "page": "gamma.prior",
      "title": "Gamma prior distribution",
      "topics": [
        "GammaPrior",
        "TruncatedGammaPrior"
      ]
    },
    {
      "page": "generate_factor_data",
      "title": "Generate a data frame of all factor data",
      "topics": [
        "GenerateFactorData"
      ]
    },
    {
      "page": "histabunch",
      "title": "A Bunch of Histograms",
      "topics": [
        "histabunch"
      ]
    },
    {
      "page": "Intensity",
      "title": "Intensity function for a vector of event times",
      "topics": [
        "Intensity",
        "plot.Intensity"
      ]
    },
    {
      "page": "inverse-wishart",
      "title": "Inverse Wishart Distribution",
      "topics": [
        "dInverseWishart",
        "InverseWishartPrior"
      ]
    },
    {
      "page": "invgamma",
      "title": "Inverse Gamma Distribution",
      "topics": [
        "dinvgamma",
        "pinvgamma",
        "qinvgamma",
        "rinvgamma"
      ]
    },
    {
      "page": "is.even",
      "title": "Check whether a number is even or odd.",
      "topics": [
        "is.even",
        "is.odd",
        "IsEven",
        "IsOdd"
      ]
    },
    {
      "page": "lmgamma",
      "title": "Log Multivariate Gamma Function",
      "topics": [
        "lmgamma"
      ]
    },
    {
      "page": "log.integrated.gaussian.likelihood",
      "title": "Log Integrated Gaussian Likelihood",
      "topics": [
        "LogIntegratedGaussianLikelihood"
      ]
    },
    {
      "page": "lognormal.prior",
      "title": "Lognormal Prior Distribution",
      "topics": [
        "LognormalPrior"
      ]
    },
    {
      "page": "markov.prior",
      "title": "Prior for a Markov chain",
      "topics": [
        "MarkovPrior"
      ]
    },
    {
      "page": "match_data_frame",
      "title": "MatchDataFrame",
      "topics": [
        "MatchDataFrame"
      ]
    },
    {
      "page": "mscan",
      "title": "Scan a Matrix",
      "topics": [
        "mscan"
      ]
    },
    {
      "page": "mvn.diagonal.prior",
      "title": "diagonal MVN prior",
      "topics": [
        "MvnDiagonalPrior"
      ]
    },
    {
      "page": "mvn.independent.sigma.prior",
      "title": "Independence prior for the MVN",
      "topics": [
        "MvnIndependentSigmaPrior"
      ]
    },
    {
      "page": "mvn.prior",
      "title": "Multivariate normal prior",
      "topics": [
        "MvnPrior"
      ]
    },
    {
      "page": "MvnGivenSigmaMatrixPrior",
      "title": "Conditional Multivaraite Normal Prior Given Variance",
      "topics": [
        "MvnGivenSigmaMatrixPrior"
      ]
    },
    {
      "page": "normal.inverse.gamma.prior",
      "title": "Normal inverse gamma prior",
      "topics": [
        "NormalInverseGammaPrior"
      ]
    },
    {
      "page": "normal.inverse.wishart.prior",
      "title": "Normal inverse Wishart prior",
      "topics": [
        "NormalInverseWishartPrior"
      ]
    },
    {
      "page": "normal.prior",
      "title": "Normal (scalar Gaussian) prior distribution",
      "topics": [
        "NormalPrior"
      ]
    },
    {
      "page": "pairs.density",
      "title": "Pairs plot for posterior distributions.",
      "topics": [
        "PairsDensity"
      ]
    },
    {
      "page": "plot.density.contours",
      "title": "Contour plot of a bivariate density.",
      "topics": [
        "PlotDensityContours"
      ]
    },
    {
      "page": "plot.dynamic.distribution",
      "title": "Plots the pointwise evolution of a distribution over an index set.",
      "topics": [
        "PlotDynamicDistribution"
      ]
    },
    {
      "page": "plot.macf",
      "title": "Plots individual autocorrelation functions for many-valued time series",
      "topics": [
        "plot.macf",
        "PlotMacf"
      ]
    },
    {
      "page": "plot.many.ts",
      "title": "Multiple time series plots",
      "topics": [
        "plot.many.ts",
        "PlotManyTs"
      ]
    },
    {
      "page": "regression.coefficient.conjugate.prior",
      "title": "Regression Coefficient Conjugate Prior",
      "topics": [
        "RegressionCoefficientConjugatePrior"
      ]
    },
    {
      "page": "replist",
      "title": "Repeated Lists of Objects",
      "topics": [
        "RepList"
      ]
    },
    {
      "page": "rmvn",
      "title": "Multivariate Normal Simulation",
      "topics": [
        "rmvn"
      ]
    },
    {
      "page": "rvectorfunction",
      "title": "RVectorFunction",
      "topics": [
        "RVectorFunction"
      ]
    },
    {
      "page": "scaled.matrix.normal.prior",
      "title": "Scaled Matrix-Normal Prior",
      "topics": [
        "ScaledMatrixNormalPrior"
      ]
    },
    {
      "page": "sd.prior",
      "title": "Prior for a standard deviation or variance",
      "topics": [
        "SdPrior"
      ]
    },
    {
      "page": "sufstat",
      "title": "Sufficient Statistics",
      "topics": [
        "GaussianSuf",
        "RegressionSuf"
      ]
    },
    {
      "page": "suggest.burn.log.likelihood",
      "title": "Suggest MCMC Burn-in from Log Likelihood",
      "topics": [
        "SuggestBurnLogLikelihood"
      ]
    },
    {
      "page": "thin",
      "title": "Thin the rows of a matrix",
      "topics": [
        "thin"
      ]
    },
    {
      "page": "thin.matrix",
      "title": "Thin a Matrix",
      "topics": [
        "ThinMatrix"
      ]
    },
    {
      "page": "timeseries.boxplot",
      "title": "Time Series Boxplots",
      "topics": [
        "TimeSeriesBoxplot"
      ]
    },
    {
      "page": "ToString",
      "title": "Convert to Character String",
      "topics": [
        "ToString",
        "ToString.default",
        "ToString.table"
      ]
    },
    {
      "page": "traceproduct",
      "title": "Trace of the Product of Two Matrices",
      "topics": [
        "TraceProduct"
      ]
    },
    {
      "page": "uniform.prior",
      "title": "Uniform prior distribution",
      "topics": [
        "UniformPrior"
      ]
    },
    {
      "page": "unit.testing",
      "title": "Utilities for Unit Test Output",
      "topics": [
        "PlotUnitTestOutput",
        "ReadUnitTestOutput"
      ]
    },
    {
      "page": "wishart",
      "title": "Wishart Distribution",
      "topics": [
        "dWishart",
        "rWishart"
      ]
    }
  ],
  "_rundeps": [
    "MASS"
  ],
  "_score": 5.04488846701264,
  "_indexed": true,
  "_nocasepkg": "boom",
  "_universes": [
    "steve-the-bayesian"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.9.17",
      "date": "2026-10-16T11:03:38.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "598578af3d4a2eff8a7249456d7700d231ebee6b",
      "fileid": "https://r2.ropensci.org/cd78b4acfe525530d29383f00f36dd0b2aa700f14ff1c3cd8274ccd18c72b13c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/steve-the-bayesian/actions/runs/38889618806"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.9.17",
      "date": "2026-10-16T11:03:46.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "598578af3d4a2eff8a7249456d7700d231ebee6b",
      "fileid": "https://r2.ropensci.org/c269dd72b380d9455bdc1ef38eb30d870f397c6a2f405a97c4f70c42c8390cb2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/steve-the-bayesian/actions/runs/38889618806"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.9.17",
      "date": "2026-10-16T11:03:34.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "598578af3d4a2eff8a7249456d7700d231ebee6b",
      "fileid": "https://r2.ropensci.org/0b4a9efa72e49321c1afa9dbd0a2842568921ca2eeeeb45d3e1e1bbc9be1a612",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/steve-the-bayesian/actions/runs/38889618806"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.9.17",
      "date": "2026-10-16T11:03:41.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "598578af3d4a2eff8a7249456d7700d231ebee6b",
      "fileid": "https://r2.ropensci.org/0974066c0791aa8bbe76accefcd9c88a3e0d167c1be0a9326a588fbe8c0bb188",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/steve-the-bayesian/actions/runs/38889618806"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.9.17",
      "date": "2026-10-16T11:03:25.000Z",
      "arch": "aarch64",
      "commit": "598578af3d4a2eff8a7249456d7700d231ebee6b",
      "fileid": "https://r2.ropensci.org/29a0aa25df0d072a8fdb9f9c94191e554c8e6a2c161423facf0ccc6c1f7ca57e",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/steve-the-bayesian/actions/runs/38889618806"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.9.17",
      "date": "2026-10-16T11:04:54.000Z",
      "arch": "x86_64",
      "commit": "598578af3d4a2eff8a7249456d7700d231ebee6b",
      "fileid": "https://r2.ropensci.org/8bc8d071a3465bc0c5a2ab2c291cfb4e14df44fd85baff045c6044391e975d76",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/steve-the-bayesian/actions/runs/38889618806"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "0.9.17",
      "date": "2026-10-16T11:04:07.000Z",
      "arch": "aarch64",
      "commit": "598578af3d4a2eff8a7249456d7700d231ebee6b",
      "fileid": "https://r2.ropensci.org/276dd34aee7406849264d33f6766eab3675d39aef1e6ce64512bc3af06dea189",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/steve-the-bayesian/actions/runs/38889618806"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "0.9.17",
      "date": "2026-10-16T11:05:28.000Z",
      "arch": "x86_64",
      "commit": "598578af3d4a2eff8a7249456d7700d231ebee6b",
      "fileid": "https://r2.ropensci.org/ab4b8cd4d937c0bb74c86c02d028b6b5c137001e2d2f51098e3481c20a2b55a0",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/steve-the-bayesian/actions/runs/38889618806"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.9.17",
      "date": "2026-10-16T11:03:38.000Z",
      "arch": "emscripten",
      "commit": "598578af3d4a2eff8a7249456d7700d231ebee6b",
      "fileid": "https://r2.ropensci.org/b5a51416e322c2bb2d32b3374f54ec193a12f0b30576afe87655de592b8b0c56",
      "status": "success",
      "buildurl": "https://github.com/r-universe/steve-the-bayesian/actions/runs/38889618806"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.9.17",
      "date": "2026-10-16T11:04:49.000Z",
      "arch": "aarch64",
      "commit": "598578af3d4a2eff8a7249456d7700d231ebee6b",
      "fileid": "https://r2.ropensci.org/7561addd04f7b0d26083f3d8f5f320cbc795968d858076e27c3ea2bfe021c0f1",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/steve-the-bayesian/actions/runs/38889618806"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.9.17",
      "date": "2026-10-16T11:03:10.000Z",
      "arch": "x86_64",
      "commit": "598578af3d4a2eff8a7249456d7700d231ebee6b",
      "fileid": "https://r2.ropensci.org/80aff567ff84691ec70956ece7c350a2ce89f7bfc3534c8dd000d56cd6189095",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/steve-the-bayesian/actions/runs/38889618806"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.9.17",
      "date": "2026-10-16T11:03:07.000Z",
      "arch": "x86_64",
      "commit": "598578af3d4a2eff8a7249456d7700d231ebee6b",
      "fileid": "https://r2.ropensci.org/d0b7035d79d71b6c14497d2ce2f77f25261c5323e32aedb134505e0b169ab926",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/steve-the-bayesian/actions/runs/38889618806"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.9.17",
      "date": "2026-10-16T11:05:09.000Z",
      "arch": "aarch64",
      "commit": "598578af3d4a2eff8a7249456d7700d231ebee6b",
      "fileid": "https://r2.ropensci.org/83129fe2628ab23715b9c04e0c9121e287dd4eb9d9c6dd5069427693c8a5d7cd",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/steve-the-bayesian/actions/runs/38889618806"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.9.17",
      "date": "2026-10-16T11:03:01.000Z",
      "arch": "x86_64",
      "commit": "598578af3d4a2eff8a7249456d7700d231ebee6b",
      "fileid": "https://r2.ropensci.org/f0b4d9ab8c5850796414f7bd8d6c9ebdc9627561612a50dbdf8436f14be2eb87",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/steve-the-bayesian/actions/runs/38889618806"
    }
  ]
}