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.

Files in this package

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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