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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.pdf
Vignettes: Binomial Mixtures
Factor Analysis
Gaussian Mixtures
Latent Class Analysis
Reduced Rank Regression
Introduction to sBIC

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 form https://CRAN.R-project.org/package=sBIC to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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