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  "Title": "Computing the Singular BIC for Multiple Models",
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  "Date": "2016-09-20",
  "Authors@R": "c(person(\"Luca\", \"Weihs\", role=c(\"aut\",\"cre\"), email=\"lucaw@uw.edu\"),\nperson(\"Martyn\", \"Plummer\", role=\"ctb\"))",
  "Description": "Computes the sBIC for various singular model collections\nincluding: binomial mixtures, factor analysis models, Gaussian\nmixtures, latent forests, latent class analyses, and reduced\nrank regressions.",
  "License": "GPL (>= 3)",
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    "getDimension.LCAs",
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    "getNumFactorsForModel.FactorAnalyses",
    "getNumLeaves",
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    "getNumModels.GaussianMixtures",
    "getNumModels.LatentForests",
    "getNumModels.LCAs",
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    "getNumSamples.BinomialMixtures",
    "getNumSamples.FactorAnalyses",
    "getNumSamples.GaussianMixtures",
    "getNumSamples.LatentForests",
    "getNumSamples.LCAs",
    "getNumSamples.ReducedRankRegressions",
    "getNumVertices",
    "getNumVertices.LatentForests",
    "getPhi",
    "getPhi.MixtureModels",
    "getPrior",
    "getPrior.BinomialMixtures",
    "getPrior.FactorAnalyses",
    "getPrior.GaussianMixtures",
    "getPrior.LatentForests",
    "getPrior.LCAs",
    "getPrior.ReducedRankRegressions",
    "getSamplingCovMat",
    "getSamplingCovMat.LatentForests",
    "getSupport",
    "getSupport.LatentForests",
    "getTopOrder",
    "getTopOrder.BinomialMixtures",
    "getTopOrder.FactorAnalyses",
    "getTopOrder.GaussianMixtures",
    "getTopOrder.LatentForests",
    "getTopOrder.LCAs",
    "getTopOrder.ReducedRankRegressions",
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    "logLike",
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    "logLikeMle.GaussianMixtures",
    "logLikeMle.LatentForests",
    "logLikeMle.LCAs",
    "logLikeMle.ReducedRankRegressions",
    "logLikeMleHelper",
    "logLikeMleHelper.ReducedRankRegressions",
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    "mle",
    "mle.BinomialMixtures",
    "mle.FactorAnalyses",
    "mle.GaussianMixtures",
    "mle.LatentForests",
    "mle.LCAs",
    "parents",
    "parents.FactorAnalyses",
    "parents.LatentForests",
    "parents.MixtureModels",
    "parents.ReducedRankRegressions",
    "ReducedRankRegressions",
    "sBIC",
    "setData",
    "setData.BinomialMixtures",
    "setData.FactorAnalyses",
    "setData.GaussianMixtures",
    "setData.LatentForests",
    "setData.LCAs",
    "setData.ReducedRankRegressions",
    "setPhi",
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      "page": "sBIC-package",
      "title": "sBIC package documentation.",
      "topics": [
        "sBIC-package"
      ]
    },
    {
      "page": "BinomialMixtures",
      "title": "Construct a poset of binomial mixture models.",
      "topics": [
        "BinomialMixtures"
      ]
    },
    {
      "page": "emMain",
      "title": "EM-algorithm for latent forests.",
      "topics": [
        "emMain",
        "emMain.LatentForests"
      ]
    },
    {
      "page": "emSteps",
      "title": "One EM-iteration.",
      "topics": [
        "emSteps",
        "emSteps.LatentForests"
      ]
    },
    {
      "page": "FactorAnalyses",
      "title": "Construct a poset of factor analysis models.",
      "topics": [
        "FactorAnalyses"
      ]
    },
    {
      "page": "GaussianMixtures",
      "title": "Construct a poset of gaussian mixture models.",
      "topics": [
        "GaussianMixtures"
      ]
    },
    {
      "page": "generateAllBinaryTrees",
      "title": "Generate all non-isomorphic binary trees.",
      "topics": [
        "generateAllBinaryTrees"
      ]
    },
    {
      "page": "getAllEdges",
      "title": "Edges representing the largest model.",
      "topics": [
        "getAllEdges",
        "getAllEdges.LatentForests"
      ]
    },
    {
      "page": "getCovMat",
      "title": "Create a covariance matrix.",
      "topics": [
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        "getCovMat.LatentForests"
      ]
    },
    {
      "page": "getData",
      "title": "Return the set data.",
      "topics": [
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        "getData.BinomialMixtures",
        "getData.FactorAnalyses",
        "getData.GaussianMixtures",
        "getData.LatentForests",
        "getData.LCAs",
        "getData.ReducedRankRegressions"
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    },
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      "topics": [
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        "getDimension.BinomialMixtures",
        "getDimension.FactorAnalyses",
        "getDimension.GaussianMixtures",
        "getDimension.LatentForests",
        "getDimension.LCAs",
        "getDimension.ReducedRankRegressions"
      ]
    },
    {
      "page": "getModelWithSupport",
      "title": "Get model with the given support.",
      "topics": [
        "getModelWithSupport",
        "getModelWithSupport.LatentForests"
      ]
    },
    {
      "page": "getNumFactorsForModel",
      "title": "Number of factors for a model.",
      "topics": [
        "getNumFactorsForModel",
        "getNumFactorsForModel.FactorAnalyses"
      ]
    },
    {
      "page": "getNumLeaves",
      "title": "Get number of leaves.",
      "topics": [
        "getNumLeaves",
        "getNumLeaves.LatentForests"
      ]
    },
    {
      "page": "getNumModels",
      "title": "Number of models.",
      "topics": [
        "getNumModels",
        "getNumModels.BinomialMixtures",
        "getNumModels.FactorAnalyses",
        "getNumModels.GaussianMixtures",
        "getNumModels.LatentForests",
        "getNumModels.LCAs",
        "getNumModels.ReducedRankRegressions"
      ]
    },
    {
      "page": "getNumSamples",
      "title": "Number of samples in the set data.",
      "topics": [
        "getNumSamples",
        "getNumSamples.BinomialMixtures",
        "getNumSamples.FactorAnalyses",
        "getNumSamples.GaussianMixtures",
        "getNumSamples.LatentForests",
        "getNumSamples.LCAs",
        "getNumSamples.ReducedRankRegressions"
      ]
    },
    {
      "page": "getNumVertices",
      "title": "Maximum number of vertices.",
      "topics": [
        "getNumVertices",
        "getNumVertices.LatentForests"
      ]
    },
    {
      "page": "getPhi",
      "title": "Get the phi parameter.",
      "topics": [
        "getPhi",
        "getPhi.MixtureModels"
      ]
    },
    {
      "page": "getPrior",
      "title": "The prior on the models.",
      "topics": [
        "getPrior",
        "getPrior.BinomialMixtures",
        "getPrior.FactorAnalyses",
        "getPrior.GaussianMixtures",
        "getPrior.LatentForests",
        "getPrior.LCAs",
        "getPrior.ReducedRankRegressions"
      ]
    },
    {
      "page": "getSamplingCovMat",
      "title": "Sampling covariance matrix.",
      "topics": [
        "getSamplingCovMat",
        "getSamplingCovMat.LatentForests"
      ]
    },
    {
      "page": "getSupport",
      "title": "Get support for a given model.",
      "topics": [
        "getSupport",
        "getSupport.LatentForests"
      ]
    },
    {
      "page": "getTopOrder",
      "title": "Topological ordering of models.",
      "topics": [
        "getTopOrder",
        "getTopOrder.BinomialMixtures",
        "getTopOrder.FactorAnalyses",
        "getTopOrder.GaussianMixtures",
        "getTopOrder.LatentForests",
        "getTopOrder.LCAs",
        "getTopOrder.ReducedRankRegressions"
      ]
    },
    {
      "page": "LatentForests",
      "title": "Construct a poset of gaussian latent forest models.",
      "topics": [
        "LatentForests"
      ]
    },
    {
      "page": "LCAs",
      "title": "Construct a poset of latent class analysis models.",
      "topics": [
        "LCAs"
      ]
    },
    {
      "page": "learnCoef",
      "title": "Learning coefficient",
      "topics": [
        "learnCoef",
        "learnCoef.FactorAnalyses",
        "learnCoef.LatentForests",
        "learnCoef.MixtureModels",
        "learnCoef.ReducedRankRegressions"
      ]
    },
    {
      "page": "logLike",
      "title": "Multivariate gaussian log-likelihood.",
      "topics": [
        "logLike",
        "logLike.LatentForests"
      ]
    },
    {
      "page": "logLikeMle",
      "title": "Maximum likelihood for data.",
      "topics": [
        "logLikeMle",
        "logLikeMle.BinomialMixtures",
        "logLikeMle.FactorAnalyses",
        "logLikeMle.GaussianMixtures",
        "logLikeMle.LatentForests",
        "logLikeMle.LCAs",
        "logLikeMle.ReducedRankRegressions"
      ]
    },
    {
      "page": "logLikeMleHelper",
      "title": "Help compute the MLE.",
      "topics": [
        "logLikeMleHelper",
        "logLikeMleHelper.ReducedRankRegressions"
      ]
    },
    {
      "page": "MixtureModels",
      "title": "Linear collections of mixture models.",
      "topics": [
        "MixtureModels"
      ]
    },
    {
      "page": "mle",
      "title": "Maximum likelihood estimator.",
      "topics": [
        "mle",
        "mle.BinomialMixtures",
        "mle.FactorAnalyses",
        "mle.GaussianMixtures",
        "mle.LatentForests",
        "mle.LCAs"
      ]
    },
    {
      "page": "parents",
      "title": "Parents of a model.",
      "topics": [
        "parents",
        "parents.FactorAnalyses",
        "parents.LatentForests",
        "parents.MixtureModels",
        "parents.ReducedRankRegressions"
      ]
    },
    {
      "page": "ReducedRankRegressions",
      "title": "Construct a poset of reduced rank regression models.",
      "topics": [
        "ReducedRankRegressions"
      ]
    },
    {
      "page": "sBIC",
      "title": "Compute the sBIC.",
      "topics": [
        "sBIC"
      ]
    },
    {
      "page": "setData",
      "title": "Set data for a model poset.",
      "topics": [
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    },
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      "page": "setData.BinomialMixtures",
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      "topics": [
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    {
      "page": "setData.LCAs",
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      "topics": [
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      "page": "setData.ReducedRankRegressions",
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      "page": "setPhi",
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      "topics": [
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        "setPhi.MixtureModels"
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