sBIC: Computing the Singular BIC for Multiple Models (original) (raw)
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 |
| BugReports: | https://github.com/Lucaweihs/sBIC/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/Lucaweihs/sBIC |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | sBIC results |
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