sBIC: Computing the Singular BIC for Multiple Models
Version 0.2.0

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.

Browse man pages Browse package API and functions Browse package files

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
URL https://github.com/Lucaweihs/sBIC
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("sBIC")

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
FactorAnalyses Man page
GaussianMixtures Man page
LCAs Man page
LatentForests Man page
MixtureModels Man page
ReducedRankRegressions Man page
edgesInRootedDAGOrder Source code
emMain Man page Source code
emMain.LatentForests Man page
emSteps Man page Source code
emSteps.LatentForests Man page
forestDepth Source code
forestDim Source code
forestDistance Source code
forestFromTreeEdgesAndSupport Source code
forestToString Source code
generateAllBinaryTrees Man page Source code
generateOneStepSubForestSupports Source code
generateRandomBinaryForest Source code
generateRandomBinaryTree Source code
getAllEdges Man page Source code
getAllEdges.LatentForests Man page
getCovMat Man page Source code
getCovMat.LatentForests Man page
getData Man page Source code
getData.BinomialMixtures Man page
getData.FactorAnalyses Man page
getData.GaussianMixtures Man page
getData.LCAs Man page
getData.LatentForests Man page
getData.ReducedRankRegressions Man page
getDimension Man page Source code
getDimension.BinomialMixtures Man page
getDimension.FactorAnalyses Man page
getDimension.GaussianMixtures Man page
getDimension.LCAs Man page
getDimension.LatentForests Man page
getDimension.ReducedRankRegressions Man page
getModelWithSupport Man page Source code
getModelWithSupport.LatentForests Man page
getNumFactorsForModel Man page Source code
getNumFactorsForModel.FactorAnalyses Man page
getNumLeaves Man page Source code
getNumLeaves.LatentForests Man page
getNumModels Man page Source code
getNumModels.BinomialMixtures Man page
getNumModels.FactorAnalyses Man page
getNumModels.GaussianMixtures Man page
getNumModels.LCAs Man page
getNumModels.LatentForests Man page
getNumModels.ReducedRankRegressions Man page
getNumSamples Man page Source code
getNumSamples.BinomialMixtures Man page
getNumSamples.FactorAnalyses Man page
getNumSamples.GaussianMixtures Man page
getNumSamples.LCAs Man page
getNumSamples.LatentForests Man page
getNumSamples.ReducedRankRegressions Man page
getNumVertices Man page Source code
getNumVertices.LatentForests Man page
getPhi Man page Source code
getPhi.MixtureModels Man page
getPrior Man page Source code
getPrior.BinomialMixtures Man page
getPrior.FactorAnalyses Man page
getPrior.GaussianMixtures Man page
getPrior.LCAs Man page
getPrior.LatentForests Man page
getPrior.ReducedRankRegressions Man page
getSamplingCovMat Man page Source code
getSamplingCovMat.LatentForests Man page
getSubForestString Source code
getSubModelSupports Source code
getSubmodelEdges Source code
getSupport Man page Source code
getSupport.LatentForests Man page
getTopOrder Man page Source code
getTopOrder.BinomialMixtures Man page
getTopOrder.FactorAnalyses Man page
getTopOrder.GaussianMixtures Man page
getTopOrder.LCAs Man page
getTopOrder.LatentForests Man page
getTopOrder.ReducedRankRegressions Man page
is.atomic.vec Source code
is.binary.forest Source code
is.data.matrix Source code
is.edgelist.mat Source code
is.edgelist.vec Source code
is.edgelist.vec.or.mat Source code
is.forest Source code
is.nonneg.int Source code
is.pos.int Source code
is.support Source code
isBinaryEdgelistMat Source code
isBinaryEdgelistVecOrMat Source code
isRootedDag Source code
isSubPartition Source code
learnCoef Man page Source code
learnCoef.FactorAnalyses Man page
learnCoef.LatentForests Man page
learnCoef.MixtureModels Man page
learnCoef.ReducedRankRegressions Man page
logLike Man page Source code
logLike.LatentForests Man page
logLikeMle Man page Source code
logLikeMle.BinomialMixtures Man page
logLikeMle.FactorAnalyses Man page
logLikeMle.GaussianMixtures Man page
logLikeMle.LCAs Man page
logLikeMle.LatentForests Man page
logLikeMle.ReducedRankRegressions Man page
logLikeMleHelper Man page Source code
logLikeMleHelper.ReducedRankRegressions Man page
mle Man page Source code
mle.BinomialMixtures Man page
mle.FactorAnalyses Man page
mle.GaussianMixtures Man page
mle.LCAs Man page
mle.LatentForests Man page
parents Man page Source code
parents.FactorAnalyses Man page
parents.LatentForests Man page
parents.MixtureModels Man page
parents.ReducedRankRegressions Man page
pruneEdges Source code
pruneEdgesHelper Source code
removeDeg2Nodes Source code
sBIC Man page Source code
sBIC-package Man page
setData Man page Source code
setData.BinomialMixtures Man page
setData.FactorAnalyses Man page
setData.GaussianMixtures Man page
setData.LCAs Man page
setData.LatentForests Man page
setData.ReducedRankRegressions Man page
setPhi Man page Source code
setPhi.MixtureModels Man page
subModelsToDAG Source code
toEdgeListMat Source code
toEdgeListVec Source code
treeToString Source code

Files

inst
inst/doc
inst/doc/sBIC.R
inst/doc/LatentClassAnalysis.R
inst/doc/LatentClassAnalysis.Rmd
inst/doc/BinomialMixtures.Rmd
inst/doc/FactorAnalysis.pdf
inst/doc/sBIC.Rmd
inst/doc/FactorAnalysis.Rmd
inst/doc/GaussianMixtures.R
inst/doc/BinomialMixtures.R
inst/doc/ReducedRankRegression.R
inst/doc/GaussianMixtures.pdf
inst/doc/BinomialMixtures.pdf
inst/doc/GaussianMixtures.Rmd
inst/doc/FactorAnalysis.R
inst/doc/sBIC.html
inst/doc/ReducedRankRegression.pdf
inst/doc/LatentClassAnalysis.pdf
inst/doc/ReducedRankRegression.Rmd
tests
tests/testthat.R
tests/testthat
tests/testthat/lopeswest.csv
tests/testthat/test_GaussianMixtures.R
tests/testthat/test_LCAs.R
tests/testthat/LatentForestTestHelpers.R
tests/testthat/test_LatentForests.R
tests/testthat/test_BinomialMixtures.R
tests/testthat/test_FactorAnalyses.R
tests/testthat/test_ReducedRankRegressions.R
src
src/LatentForestsFunctions.cpp
src/RcppExports.cpp
NAMESPACE
R
R/LatentForests.R
R/LCAs.R
R/ReducedRankRegressions.R
R/GaussianMixtures.R
R/BinomialMixtures.R
R/sbic.R
R/FactorAnalyses.R
R/ModelPoset.R
R/RcppExports.R
R/MixtureModels.R
R/sBIC-Function.R
R/LatentForests-Helpers.R
vignettes
vignettes/LatentClassAnalysis.Rmd
vignettes/BinomialMixtures.Rmd
vignettes/sBIC.Rmd
vignettes/FactorAnalysis.Rmd
vignettes/lopeswest.dat
vignettes/GaussianMixtures.Rmd
vignettes/ReducedRankRegression.Rmd
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/setData.LCAs.Rd
man/logLikeMleHelper.Rd
man/getPhi.Rd
man/sBIC.Rd
man/setData.BinomialMixtures.Rd
man/getSamplingCovMat.Rd
man/mle.Rd
man/setData.LatentForests.Rd
man/getNumModels.Rd
man/GaussianMixtures.Rd
man/setData.FactorAnalyses.Rd
man/getTopOrder.Rd
man/getAllEdges.Rd
man/FactorAnalyses.Rd
man/logLike.Rd
man/setData.GaussianMixtures.Rd
man/getCovMat.Rd
man/getNumSamples.Rd
man/parents.Rd
man/ReducedRankRegressions.Rd
man/generateAllBinaryTrees.Rd
man/LCAs.Rd
man/getPrior.Rd
man/getModelWithSupport.Rd
man/setPhi.Rd
man/emSteps.Rd
man/getDimension.Rd
man/sBIC-package.Rd
man/setData.Rd
man/getNumLeaves.Rd
man/learnCoef.Rd
man/emMain.Rd
man/getSupport.Rd
man/MixtureModels.Rd
man/getNumFactorsForModel.Rd
man/setData.ReducedRankRegressions.Rd
man/logLikeMle.Rd
man/getData.Rd
man/BinomialMixtures.Rd
man/LatentForests.Rd
man/getNumVertices.Rd
sBIC documentation built on May 19, 2017, 3:12 p.m.