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