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  "Title": "Bayesian Object Oriented Modeling",
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  "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.",
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    "check.positive.scalar",
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    "CompareManyDensities",
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    "CompareVectorBoxplots",
    "ddirichlet",
    "dInverseWishart",
    "dinvgamma",
    "DirichletPrior",
    "DiscreteUniformPrior",
    "dmvn",
    "dWishart",
    "ExternalLegendLayout",
    "GammaPrior",
    "GaussianSuf",
    "GenerateFactorData",
    "histabunch",
    "InverseWishartPrior",
    "IsEven",
    "IsOdd",
    "lmgamma",
    "LogIntegratedGaussianLikelihood",
    "LognormalPrior",
    "MarkovPrior",
    "MatchDataFrame",
    "McmcMatrixReport",
    "mscan",
    "MvnDiagonalPrior",
    "MvnGivenSigmaMatrixPrior",
    "MvnIndependentSigmaPrior",
    "MvnPrior",
    "NormalInverseGammaPrior",
    "NormalInverseWishartPrior",
    "NormalPrior",
    "PairsDensity",
    "pinvgamma",
    "PlotDensityContours",
    "PlotDynamicDistribution",
    "PlotMacf",
    "PlotManyTs",
    "PointMassPrior",
    "PoissonPrior",
    "qinvgamma",
    "rdirichlet",
    "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": [
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        "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"
      ]
    },
    {
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      "title": "Compare several density estimates.",
      "topics": [
        "compare.many.densities",
        "CompareManyDensities"
      ]
    },
    {
      "page": "compare.many.ts",
      "title": "Compares several density estimates.",
      "topics": [
        "compare.many.ts",
        "CompareManyTs"
      ]
    },
    {
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      "title": "Boxplots to compare distributions of vectors",
      "topics": [
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        "CompareVectorBoxplots"
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      "title": "DiffDoubleModel",
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      "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"
      ]
    },
    {
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      "title": "Add an external legend to an array of plots.",
      "topics": [
        "AddExternalLegend",
        "ExternalLegendLayout"
      ]
    },
    {
      "page": "gamma.prior",
      "title": "Gamma prior distribution",
      "topics": [
        "GammaPrior",
        "TruncatedGammaPrior"
      ]
    },
    {
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      "title": "Generate a data frame of all factor data",
      "topics": [
        "GenerateFactorData"
      ]
    },
    {
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      "title": "A Bunch of Histograms",
      "topics": [
        "histabunch"
      ]
    },
    {
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      "title": "Inverse Wishart Distribution",
      "topics": [
        "dInverseWishart",
        "InverseWishartPrior"
      ]
    },
    {
      "page": "invgamma",
      "title": "Inverse Gamma Distribution",
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        "dinvgamma",
        "pinvgamma",
        "qinvgamma",
        "rinvgamma"
      ]
    },
    {
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      "title": "Check whether a number is even or odd.",
      "topics": [
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        "is.odd",
        "IsEven",
        "IsOdd"
      ]
    },
    {
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      "title": "Log Multivariate Gamma Function",
      "topics": [
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      ]
    },
    {
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      "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"
      ]
    },
    {
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      "title": "MatchDataFrame",
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    {
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      "topics": [
        "mscan"
      ]
    },
    {
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      "title": "diagonal MVN prior",
      "topics": [
        "MvnDiagonalPrior"
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    },
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      "page": "mvn.independent.sigma.prior",
      "title": "Independence prior for the MVN",
      "topics": [
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    {
      "page": "mvn.prior",
      "title": "Multivariate normal prior",
      "topics": [
        "MvnPrior"
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    {
      "page": "MvnGivenSigmaMatrixPrior",
      "title": "Conditional Multivaraite Normal Prior Given Variance",
      "topics": [
        "MvnGivenSigmaMatrixPrior"
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      "title": "Normal inverse Wishart prior",
      "topics": [
        "NormalInverseWishartPrior"
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    },
    {
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      "title": "Normal (scalar Gaussian) prior distribution",
      "topics": [
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    },
    {
      "page": "pairs.density",
      "title": "Pairs plot for posterior distributions.",
      "topics": [
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    },
    {
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    },
    {
      "page": "plot.dynamic.distribution",
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    },
    {
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        "PlotMacf"
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    },
    {
      "page": "plot.many.ts",
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      "topics": [
        "plot.many.ts",
        "PlotManyTs"
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        "rmvn"
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        "GaussianSuf",
        "RegressionSuf"
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        "thin"
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    },
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      "page": "thin.matrix",
      "title": "Thin a Matrix",
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        "ToString.default",
        "ToString.table"
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    },
    {
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      "title": "Trace of the Product of Two Matrices",
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        "TraceProduct"
      ]
    },
    {
      "page": "uniform.prior",
      "title": "Uniform prior distribution",
      "topics": [
        "UniformPrior"
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    },
    {
      "page": "wishart",
      "title": "Wishart Distribution",
      "topics": [
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        "rWishart"
      ]
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