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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.

Version:0.2.0
Imports:poLCA,R.oo (≥ 1.20.0),R.methodsS3,mclust,igraph (≥1.0.1),Rcpp (≥ 0.12.3),combinat,flexmix,hash
LinkingTo:Rcpp
Suggests:testthat,mvtnorm,knitr,MASS
Published:2016-10-01
DOI:10.32614/CRAN.package.sBIC
Author:Luca Weihs [aut, cre], Martyn Plummer [ctb]
Maintainer:Luca Weihs <lucaw at uw.edu>
BugReports:https://github.com/Lucaweihs/sBIC/issues
License:GPL (≥ 3)
URL:https://github.com/Lucaweihs/sBIC
NeedsCompilation:yes
Materials:README
CRAN checks:sBIC results

Documentation:

Reference manual:sBIC.html ,sBIC.pdf
Vignettes:Binomial Mixtures (source,R code)
Factor Analysis (source,R code)
Gaussian Mixtures (source,R code)
Latent Class Analysis (source,R code)
Reduced Rank Regression (source,R code)
Introduction to sBIC (source,R code)

Downloads:

Package source: sBIC_0.2.0.tar.gz
Windows binaries: r-devel:sBIC_0.2.0.zip, r-release:sBIC_0.2.0.zip, r-oldrel:sBIC_0.2.0.zip
macOS binaries: r-release (arm64):sBIC_0.2.0.tgz, r-oldrel (arm64):sBIC_0.2.0.tgz, r-release (x86_64):sBIC_0.2.0.tgz, r-oldrel (x86_64):sBIC_0.2.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=sBICto link to this page.


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