{
  "_id": "6a10248aacfb0bcc41c8dce9",
  "Package": "BMS",
  "Type": "Package",
  "Title": "Bayesian Model Averaging Library",
  "Version": "0.3.5",
  "Date": "2022-08-05",
  "Author": "Martin Feldkircher and Stefan Zeugner and Paul Hofmarcher",
  "Maintainer": "Stefan Zeugner <stefan.zeugner@ec.europa.eu>",
  "Description": "Bayesian Model Averaging for linear models with a wide\nchoice of (customizable) priors. Built-in priors include\ncoefficient priors (fixed, hyper-g and empirical priors), 5\nkinds of model priors, moreover model sampling by enumeration\nor various MCMC approaches. Post-processing functions allow for\ninferring posterior inclusion and model probabilities, various\nmoments, coefficient and predictive densities. Plotting\nfunctions available for posterior model size, MCMC convergence,\npredictive and coefficient densities, best models\nrepresentation, BMA comparison. Also includes Bayesian\nnormal-conjugate linear model with Zellner's g prior, and\nassorted methods.",
  "License": "BSD_3_clause + file LICENSE",
  "URL": "http://bms.zeugner.eu",
  "RoxygenNote": "7.2.1",
  "LazyData": "true",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-13 09:59:16 UTC",
    "User": "root"
  },
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2022-08-09 10:10:02 UTC",
  "RemoteUrl": "https://github.com/cran/BMS",
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    "author": "Stefan Zeugner <stefan.zeugner@ec.europa.eu>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.3.5\n",
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    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/BMS"
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  "_mentions": 11,
  "_searchresults": 387,
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  "_assets": [
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    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "manual.pdf"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
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      "version": "0.2.4",
      "date": "2010-07-26"
    },
    {
      "version": "0.2.5",
      "date": "2010-07-30"
    },
    {
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    },
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      "date": "2015-11-24"
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      "date": "2022-08-09"
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    "beta.draws.bma",
    "bin2hex",
    "bms",
    "estimates.bma",
    "f21hyper",
    "fullmodel.ssq",
    "gdensity",
    "hex2bin",
    "info.bma",
    "is.bma",
    "is.topmod",
    "lps.bma",
    "plotComp",
    "plotConv",
    "plotModelsize",
    "pmp.bma",
    "pmpmodel",
    "post.pr2",
    "post.var",
    "pred.density",
    "topmod",
    "topmodels.bma",
    "zlm"
  ],
  "_datasets": [
    {
      "name": "datafls",
      "title": "FLS (2001) growth data",
      "object": "datafls",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y",
        "Abslat",
        "Spanish",
        "French",
        "Brit",
        "WarDummy",
        "LatAmerica",
        "SubSahara",
        "OutwarOr",
        "Area",
        "PrScEnroll",
        "LifeExp",
        "GDP60",
        "Mining",
        "EcoOrg",
        "YrsOpen",
        "Age",
        "Buddha",
        "Catholic",
        "Confucian",
        "EthnoL",
        "Hindu",
        "Jewish",
        "Muslim",
        "PrExports",
        "Protestants",
        "RuleofLaw",
        "Popg",
        "WorkPop",
        "LabForce",
        "HighEnroll",
        "PublEdupct",
        "RevnCoup",
        "PolRights",
        "CivlLib",
        "English",
        "Foreign",
        "RFEXDist",
        "EquipInv",
        "NequipInv",
        "stdBMP",
        "BlMktPm"
      ],
      "rows": 72,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "as.zlm",
      "title": "Extract a Model from a bma Object",
      "topics": [
        "as.zlm"
      ]
    },
    {
      "page": "beta.draws.bma",
      "title": "Coefficients of the Best Models",
      "topics": [
        "beta.draws.bma"
      ]
    },
    {
      "page": "bma-class",
      "title": "Class \"bma\"",
      "topics": [
        "bma-class"
      ]
    },
    {
      "page": "bms",
      "title": "Bayesian Model Sampling and Averaging",
      "topics": [
        "bms"
      ]
    },
    {
      "page": "c.bma",
      "title": "Concatenate bma objects",
      "topics": [
        "c.bma",
        "combine_chains"
      ]
    },
    {
      "page": "datafls",
      "title": "FLS (2001) growth data",
      "topics": [
        "datafls"
      ]
    },
    {
      "page": "density.bma",
      "title": "Coefficient Marginal Posterior Densities",
      "topics": [
        "density.bma",
        "density.zlm"
      ]
    },
    {
      "page": "coef.bma",
      "title": "Posterior Inclusion Probabilities and Coefficients from a 'bma' Object",
      "topics": [
        "coef.bma",
        "estimates.bma"
      ]
    },
    {
      "page": "f21hyper",
      "title": "Gaussian Hypergeometric Function F(a,b,c,z)",
      "topics": [
        "f21hyper"
      ]
    },
    {
      "page": "fullmodel.ssq",
      "title": "OLS Statistics for the Full Model Including All Potential Covariates",
      "topics": [
        "fullmodel.ssq"
      ]
    },
    {
      "page": "gdensity",
      "title": "Posterior Density of the Shrinkage Factor",
      "topics": [
        "gdensity"
      ]
    },
    {
      "page": "gprior-class",
      "title": "Class \"gprior\"",
      "topics": [
        "gprior-class"
      ]
    },
    {
      "page": "bin2hex",
      "title": "Converting Binary Code to and from Hexadecimal Code",
      "topics": [
        "bin2hex",
        "hex2bin"
      ]
    },
    {
      "page": "image.bma",
      "title": "Plot Signs of Best Models",
      "topics": [
        "image.bma"
      ]
    },
    {
      "page": "summary.bma",
      "title": "Summary Statistics for a 'bma' Object",
      "topics": [
        "info.bma",
        "summary.bma"
      ]
    },
    {
      "page": "is.bma",
      "title": "Tests for a 'bma' Object",
      "topics": [
        "is.bma"
      ]
    },
    {
      "page": "lps.bma",
      "title": "Log Predictive Score",
      "topics": [
        "lps.bma"
      ]
    },
    {
      "page": "mprior-class",
      "title": "Class \"mprior\"",
      "topics": [
        "mprior-class"
      ]
    },
    {
      "page": "plot.bma",
      "title": "Plot Posterior Model Size and Model Probabilities",
      "topics": [
        "plot.bma"
      ]
    },
    {
      "page": "plotComp",
      "title": "Compare Two or More bma Objects",
      "topics": [
        "plotComp"
      ]
    },
    {
      "page": "plotConv",
      "title": "Plot Convergence of BMA Sampler",
      "topics": [
        "plotConv"
      ]
    },
    {
      "page": "plotModelsize",
      "title": "Plot Model Size Distribution",
      "topics": [
        "plotModelsize"
      ]
    },
    {
      "page": "pmp.bma",
      "title": "Posterior Model Probabilities",
      "topics": [
        "pmp.bma"
      ]
    },
    {
      "page": "pmpmodel",
      "title": "Posterior Model Probability for any Model",
      "topics": [
        "pmpmodel"
      ]
    },
    {
      "page": "post.var",
      "title": "Posterior Variance and Deviance",
      "topics": [
        "deviance.bma",
        "deviance.zlm",
        "post.pr2",
        "post.var"
      ]
    },
    {
      "page": "pred.density",
      "title": "Predictive Densities for bma Objects",
      "topics": [
        "pred.density",
        "pred.density-class",
        "print.pred.density"
      ]
    },
    {
      "page": "predict.bma",
      "title": "Predict Method for bma Objects",
      "topics": [
        "predict.bma"
      ]
    },
    {
      "page": "predict.zlm",
      "title": "Predict Method for zlm Linear Model",
      "topics": [
        "predict.zlm"
      ]
    },
    {
      "page": "print.topmod",
      "title": "Printing topmod Objects",
      "topics": [
        "print.topmod"
      ]
    },
    {
      "page": "quantile.pred.density",
      "title": "Extract Quantiles from 'density' Objects",
      "topics": [
        "quantile.coef.density",
        "quantile.density",
        "quantile.pred.density"
      ]
    },
    {
      "page": "summary.zlm",
      "title": "Summarizing Linear Models under Zellner's g",
      "topics": [
        "summary.zlm"
      ]
    },
    {
      "page": "topmod",
      "title": "Topmodel Object",
      "topics": [
        "is.topmod",
        "topmod"
      ]
    },
    {
      "page": "topmod-class",
      "title": "Class \"topmod\"",
      "topics": [
        "topmod-class"
      ]
    },
    {
      "page": "topmodels.bma",
      "title": "Model Binaries and their Posterior model Probabilities",
      "topics": [
        "topmodels.bma"
      ]
    },
    {
      "page": "variable.names.bma",
      "title": "Variable names and design matrix",
      "topics": [
        "model.frame.bma",
        "variable.names.bma"
      ]
    },
    {
      "page": "variable.names.zlm",
      "title": "Variable names and design matrix",
      "topics": [
        "logLik.zlm",
        "variable.names.zlm",
        "vcov.zlm"
      ]
    },
    {
      "page": "zlm",
      "title": "Bayesian Linear Model with Zellner's g",
      "topics": [
        "zlm"
      ]
    },
    {
      "page": "zlm-class",
      "title": "Class \"zlm\"",
      "topics": [
        "zlm-class"
      ]
    }
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