Computing the Singular BIC for Multiple Models

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Documentation for package ‘sBIC’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

B E F G L M P R S

sBIC-package

sBIC package documentation.

-- B --

BinomialMixtures

Construct a poset of binomial mixture models.

-- E --

emMain	EM-algorithm for latent forests.
emMain.LatentForests	EM-algorithm for latent forests.
emSteps	One EM-iteration.
emSteps.LatentForests	One EM-iteration.

-- F --

FactorAnalyses

Construct a poset of factor analysis models.

-- G --

GaussianMixtures	Construct a poset of gaussian mixture models.
generateAllBinaryTrees	Generate all non-isomorphic binary trees.
getAllEdges	Edges representing the largest model.
getAllEdges.LatentForests	Edges representing the largest model.
getCovMat	Create a covariance matrix.
getCovMat.LatentForests	Create a covariance matrix.
getData	Return the set data.
getData.BinomialMixtures	Return the set data.
getData.FactorAnalyses	Return the set data.
getData.GaussianMixtures	Return the set data.
getData.LatentForests	Return the set data.
getData.LCAs	Return the set data.
getData.ReducedRankRegressions	Return the set data.
getDimension	Model dimension.
getDimension.BinomialMixtures	Model dimension.
getDimension.FactorAnalyses	Model dimension.
getDimension.GaussianMixtures	Model dimension.
getDimension.LatentForests	Model dimension.
getDimension.LCAs	Model dimension.
getDimension.ReducedRankRegressions	Model dimension.
getModelWithSupport	Get model with the given support.
getModelWithSupport.LatentForests	Get model with the given support.
getNumFactorsForModel	Number of factors for a model.
getNumFactorsForModel.FactorAnalyses	Number of factors for a model.
getNumLeaves	Get number of leaves.
getNumLeaves.LatentForests	Get number of leaves.
getNumModels	Number of models.
getNumModels.BinomialMixtures	Number of models.
getNumModels.FactorAnalyses	Number of models.
getNumModels.GaussianMixtures	Number of models.
getNumModels.LatentForests	Number of models.
getNumModels.LCAs	Number of models.
getNumModels.ReducedRankRegressions	Number of models.
getNumSamples	Number of samples in the set data.
getNumSamples.BinomialMixtures	Number of samples in the set data.
getNumSamples.FactorAnalyses	Number of samples in the set data.
getNumSamples.GaussianMixtures	Number of samples in the set data.
getNumSamples.LatentForests	Number of samples in the set data.
getNumSamples.LCAs	Number of samples in the set data.
getNumSamples.ReducedRankRegressions	Number of samples in the set data.
getNumVertices	Maximum number of vertices.
getNumVertices.LatentForests	Maximum number of vertices.
getPhi	Get the phi parameter.
getPhi.MixtureModels	Get the phi parameter.
getPrior	The prior on the models.
getPrior.BinomialMixtures	The prior on the models.
getPrior.FactorAnalyses	The prior on the models.
getPrior.GaussianMixtures	The prior on the models.
getPrior.LatentForests	The prior on the models.
getPrior.LCAs	The prior on the models.
getPrior.ReducedRankRegressions	The prior on the models.
getSamplingCovMat	Sampling covariance matrix.
getSamplingCovMat.LatentForests	Sampling covariance matrix.
getSupport	Get support for a given model.
getSupport.LatentForests	Get support for a given model.
getTopOrder	Topological ordering of models.
getTopOrder.BinomialMixtures	Topological ordering of models.
getTopOrder.FactorAnalyses	Topological ordering of models.
getTopOrder.GaussianMixtures	Topological ordering of models.
getTopOrder.LatentForests	Topological ordering of models.
getTopOrder.LCAs	Topological ordering of models.
getTopOrder.ReducedRankRegressions	Topological ordering of models.

-- L --

LatentForests	Construct a poset of gaussian latent forest models.
LCAs	Construct a poset of latent class analysis models.
learnCoef	Learning coefficient
learnCoef.FactorAnalyses	Learning coefficient
learnCoef.LatentForests	Learning coefficient
learnCoef.MixtureModels	Learning coefficient
learnCoef.ReducedRankRegressions	Learning coefficient
logLike	Multivariate gaussian log-likelihood.
logLike.LatentForests	Multivariate gaussian log-likelihood.
logLikeMle	Maximum likelihood for data.
logLikeMle.BinomialMixtures	Maximum likelihood for data.
logLikeMle.FactorAnalyses	Maximum likelihood for data.
logLikeMle.GaussianMixtures	Maximum likelihood for data.
logLikeMle.LatentForests	Maximum likelihood for data.
logLikeMle.LCAs	Maximum likelihood for data.
logLikeMle.ReducedRankRegressions	Maximum likelihood for data.
logLikeMleHelper	Help compute the MLE.
logLikeMleHelper.ReducedRankRegressions	Help compute the MLE.

-- M --

MixtureModels	Linear collections of mixture models.
mle	Maximum likelihood estimator.
mle.BinomialMixtures	Maximum likelihood estimator.
mle.FactorAnalyses	Maximum likelihood estimator.
mle.GaussianMixtures	Maximum likelihood estimator.
mle.LatentForests	Maximum likelihood estimator.
mle.LCAs	Maximum likelihood estimator.

-- P --

parents	Parents of a model.
parents.FactorAnalyses	Parents of a model.
parents.LatentForests	Parents of a model.
parents.MixtureModels	Parents of a model.
parents.ReducedRankRegressions	Parents of a model.

-- R --

ReducedRankRegressions

Construct a poset of reduced rank regression models.

-- S --

sBIC	Compute the sBIC.
setData	Set data for a model poset.
setData.BinomialMixtures	Set data for the binomial mixture models.
setData.FactorAnalyses	Set data for the factor analysis models.
setData.GaussianMixtures	Set data for the gaussian mixture models.
setData.LatentForests	Set data for the latent forest models.
setData.LCAs	Set data for the LCA models.
setData.ReducedRankRegressions	Set data for the reduced rank regression models.
setPhi	Set phi parameter.
setPhi.MixtureModels	Set phi parameter.