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sBIC
View on CRAN: Click
here
Download and install sBIC package within the R console
Install from CRAN:
install.packages("sBIC")
Install from Github:
library("remotes")
install_github("cran/sBIC")
Install by package version:
library("remotes")
install_version("sBIC", "0.2.0")
Attach the package and use:
library("sBIC")
Maintained by
Luca Weihs
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-01
Latest Update: 2016-10-01
Description:
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.
How to cite:
Luca Weihs (2016). sBIC: Computing the Singular BIC for Multiple Models. R package version 0.2.0, https://cran.r-project.org/web/packages/sBIC. Accessed 21 Nov. 2024.
Previous versions and publish date:
No previous versions
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Complete documentation for sBIC
Functions, R codes and Examples using
the sBIC R package
Some associated functions: BinomialMixtures . FactorAnalyses . GaussianMixtures . LCAs . LatentForests . MixtureModels . ReducedRankRegressions . emMain . emSteps . generateAllBinaryTrees . getAllEdges . getCovMat . getData . getDimension . getModelWithSupport . getNumFactorsForModel . getNumLeaves . getNumModels . getNumSamples . getNumVertices . getPhi . getPrior . getSamplingCovMat . getSupport . getTopOrder . learnCoef . logLike . logLikeMle . logLikeMleHelper . mle . parents . sBIC-package . sBIC . setData.BinomialMixtures . setData.FactorAnalyses . setData.GaussianMixtures . setData.LCAs . setData.LatentForests . setData.ReducedRankRegressions . setData . setPhi .
Some associated R codes: BinomialMixtures.R . FactorAnalyses.R . GaussianMixtures.R . LCAs.R . LatentForests-Helpers.R . LatentForests.R . MixtureModels.R . ModelPoset.R . RcppExports.R . ReducedRankRegressions.R . sBIC-Function.R . sbic.R . Full sBIC package functions and examples
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