sBIC: Computing the Singular BIC for Multiple Models

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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.

Author
Luca Weihs [aut, cre], Martyn Plummer [ctb]
Date of publication
2016-10-01 14:31:14
Maintainer
Luca Weihs <lucaw@uw.edu>
License
GPL (>= 3)
Version
0.2.0
URLs

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