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CRAN: Package sBIC

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: Downloads: Linking:

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