sBIC: Computing the Singular BIC for Multiple Models

Computes the sBIC for various singular model collections including: binomial mixtures, factor analysis models, Gaussian mixtures, latent forests, latent class analyses, and reduced rank regressions.

AuthorLuca Weihs [aut, cre], Martyn Plummer [ctb]
Date of publication2016-10-01 14:31:14
MaintainerLuca Weihs <lucaw@uw.edu>
LicenseGPL (>= 3)
Version0.2.0
https://github.com/Lucaweihs/sBIC

View on CRAN

Man pages

BinomialMixtures: Construct a poset of binomial mixture models.

emMain: EM-algorithm for latent forests.

emSteps: One EM-iteration.

FactorAnalyses: Construct a poset of factor analysis models.

GaussianMixtures: Construct a poset of gaussian mixture models.

generateAllBinaryTrees: Generate all non-isomorphic binary trees.

getAllEdges: Edges representing the largest model.

getCovMat: Create a covariance matrix.

getData: Return the set data.

getDimension: Model dimension.

getModelWithSupport: Get model with the given support.

getNumFactorsForModel: Number of factors for a model.

getNumLeaves: Get number of leaves.

getNumModels: Number of models.

getNumSamples: Number of samples in the set data.

getNumVertices: Maximum number of vertices.

getPhi: Get the phi parameter.

getPrior: The prior on the models.

getSamplingCovMat: Sampling covariance matrix.

getSupport: Get support for a given model.

getTopOrder: Topological ordering of models.

LatentForests: Construct a poset of gaussian latent forest models.

LCAs: Construct a poset of latent class analysis models.

learnCoef: Learning coefficient

logLike: Multivariate gaussian log-likelihood.

logLikeMle: Maximum likelihood for data.

logLikeMleHelper: Help compute the MLE.

MixtureModels: Linear collections of mixture models.

mle: Maximum likelihood estimator.

parents: Parents of a model.

ReducedRankRegressions: Construct a poset of reduced rank regression models.

sBIC: Compute the sBIC.

sBIC-package: sBIC package documentation.

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.

Functions

BinomialMixtures Man page
emMain Man page
emMain.LatentForests Man page
emSteps Man page
emSteps.LatentForests Man page
FactorAnalyses Man page
GaussianMixtures Man page
generateAllBinaryTrees Man page
getAllEdges Man page
getAllEdges.LatentForests Man page
getCovMat Man page
getCovMat.LatentForests Man page
getData Man page
getData.BinomialMixtures Man page
getData.FactorAnalyses Man page
getData.GaussianMixtures Man page
getData.LatentForests Man page
getData.LCAs Man page
getData.ReducedRankRegressions Man page
getDimension Man page
getDimension.BinomialMixtures Man page
getDimension.FactorAnalyses Man page
getDimension.GaussianMixtures Man page
getDimension.LatentForests Man page
getDimension.LCAs Man page
getDimension.ReducedRankRegressions Man page
getModelWithSupport Man page
getModelWithSupport.LatentForests Man page
getNumFactorsForModel Man page
getNumFactorsForModel.FactorAnalyses Man page
getNumLeaves Man page
getNumLeaves.LatentForests Man page
getNumModels Man page
getNumModels.BinomialMixtures Man page
getNumModels.FactorAnalyses Man page
getNumModels.GaussianMixtures Man page
getNumModels.LatentForests Man page
getNumModels.LCAs Man page
getNumModels.ReducedRankRegressions Man page
getNumSamples Man page
getNumSamples.BinomialMixtures Man page
getNumSamples.FactorAnalyses Man page
getNumSamples.GaussianMixtures Man page
getNumSamples.LatentForests Man page
getNumSamples.LCAs Man page
getNumSamples.ReducedRankRegressions Man page
getNumVertices Man page
getNumVertices.LatentForests Man page
getPhi Man page
getPhi.MixtureModels Man page
getPrior Man page
getPrior.BinomialMixtures Man page
getPrior.FactorAnalyses Man page
getPrior.GaussianMixtures Man page
getPrior.LatentForests Man page
getPrior.LCAs Man page
getPrior.ReducedRankRegressions Man page
getSamplingCovMat Man page
getSamplingCovMat.LatentForests Man page
getSupport Man page
getSupport.LatentForests Man page
getTopOrder Man page
getTopOrder.BinomialMixtures Man page
getTopOrder.FactorAnalyses Man page
getTopOrder.GaussianMixtures Man page
getTopOrder.LatentForests Man page
getTopOrder.LCAs Man page
getTopOrder.ReducedRankRegressions Man page
LatentForests Man page
LCAs Man page
learnCoef Man page
learnCoef.FactorAnalyses Man page
learnCoef.LatentForests Man page
learnCoef.MixtureModels Man page
learnCoef.ReducedRankRegressions Man page
logLike Man page
logLike.LatentForests Man page
logLikeMle Man page
logLikeMle.BinomialMixtures Man page
logLikeMle.FactorAnalyses Man page
logLikeMle.GaussianMixtures Man page
logLikeMleHelper Man page
logLikeMleHelper.ReducedRankRegressions Man page
logLikeMle.LatentForests Man page
logLikeMle.LCAs Man page
logLikeMle.ReducedRankRegressions Man page
MixtureModels Man page
mle Man page
mle.BinomialMixtures Man page
mle.FactorAnalyses Man page
mle.GaussianMixtures Man page
mle.LatentForests Man page
mle.LCAs Man page
parents Man page
parents.FactorAnalyses Man page
parents.LatentForests Man page
parents.MixtureModels Man page
parents.ReducedRankRegressions Man page
ReducedRankRegressions Man page
sBIC Man page
sBIC-package Man page
setData Man page
setData.BinomialMixtures Man page
setData.FactorAnalyses Man page
setData.GaussianMixtures Man page
setData.LatentForests Man page
setData.LCAs Man page
setData.ReducedRankRegressions Man page
setPhi Man page
setPhi.MixtureModels Man page

Files

sBIC
sBIC/inst
sBIC/inst/doc
sBIC/inst/doc/sBIC.R
sBIC/inst/doc/LatentClassAnalysis.R
sBIC/inst/doc/LatentClassAnalysis.Rmd
sBIC/inst/doc/BinomialMixtures.Rmd
sBIC/inst/doc/FactorAnalysis.pdf
sBIC/inst/doc/sBIC.Rmd
sBIC/inst/doc/FactorAnalysis.Rmd
sBIC/inst/doc/GaussianMixtures.R
sBIC/inst/doc/BinomialMixtures.R
sBIC/inst/doc/ReducedRankRegression.R
sBIC/inst/doc/GaussianMixtures.pdf
sBIC/inst/doc/BinomialMixtures.pdf
sBIC/inst/doc/GaussianMixtures.Rmd
sBIC/inst/doc/FactorAnalysis.R
sBIC/inst/doc/sBIC.html
sBIC/inst/doc/ReducedRankRegression.pdf
sBIC/inst/doc/LatentClassAnalysis.pdf
sBIC/inst/doc/ReducedRankRegression.Rmd
sBIC/tests
sBIC/tests/testthat.R
sBIC/tests/testthat
sBIC/tests/testthat/lopeswest.csv
sBIC/tests/testthat/test_GaussianMixtures.R
sBIC/tests/testthat/test_LCAs.R
sBIC/tests/testthat/LatentForestTestHelpers.R
sBIC/tests/testthat/test_LatentForests.R
sBIC/tests/testthat/test_BinomialMixtures.R
sBIC/tests/testthat/test_FactorAnalyses.R
sBIC/tests/testthat/test_ReducedRankRegressions.R
sBIC/src
sBIC/src/LatentForestsFunctions.cpp
sBIC/src/RcppExports.cpp
sBIC/NAMESPACE
sBIC/R
sBIC/R/LatentForests.R sBIC/R/LCAs.R sBIC/R/ReducedRankRegressions.R sBIC/R/GaussianMixtures.R sBIC/R/BinomialMixtures.R sBIC/R/sbic.R sBIC/R/FactorAnalyses.R sBIC/R/ModelPoset.R sBIC/R/RcppExports.R sBIC/R/MixtureModels.R sBIC/R/sBIC-Function.R sBIC/R/LatentForests-Helpers.R
sBIC/vignettes
sBIC/vignettes/LatentClassAnalysis.Rmd
sBIC/vignettes/BinomialMixtures.Rmd
sBIC/vignettes/sBIC.Rmd
sBIC/vignettes/FactorAnalysis.Rmd
sBIC/vignettes/lopeswest.dat
sBIC/vignettes/GaussianMixtures.Rmd
sBIC/vignettes/ReducedRankRegression.Rmd
sBIC/README.md
sBIC/MD5
sBIC/build
sBIC/build/vignette.rds
sBIC/DESCRIPTION
sBIC/man
sBIC/man/setData.LCAs.Rd sBIC/man/logLikeMleHelper.Rd sBIC/man/getPhi.Rd sBIC/man/sBIC.Rd sBIC/man/setData.BinomialMixtures.Rd sBIC/man/getSamplingCovMat.Rd sBIC/man/mle.Rd sBIC/man/setData.LatentForests.Rd sBIC/man/getNumModels.Rd sBIC/man/GaussianMixtures.Rd sBIC/man/setData.FactorAnalyses.Rd sBIC/man/getTopOrder.Rd sBIC/man/getAllEdges.Rd sBIC/man/FactorAnalyses.Rd sBIC/man/logLike.Rd sBIC/man/setData.GaussianMixtures.Rd sBIC/man/getCovMat.Rd sBIC/man/getNumSamples.Rd sBIC/man/parents.Rd sBIC/man/ReducedRankRegressions.Rd sBIC/man/generateAllBinaryTrees.Rd sBIC/man/LCAs.Rd sBIC/man/getPrior.Rd sBIC/man/getModelWithSupport.Rd sBIC/man/setPhi.Rd sBIC/man/emSteps.Rd sBIC/man/getDimension.Rd sBIC/man/sBIC-package.Rd sBIC/man/setData.Rd sBIC/man/getNumLeaves.Rd sBIC/man/learnCoef.Rd sBIC/man/emMain.Rd sBIC/man/getSupport.Rd sBIC/man/MixtureModels.Rd sBIC/man/getNumFactorsForModel.Rd sBIC/man/setData.ReducedRankRegressions.Rd sBIC/man/logLikeMle.Rd sBIC/man/getData.Rd sBIC/man/BinomialMixtures.Rd sBIC/man/LatentForests.Rd sBIC/man/getNumVertices.Rd

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