R functions for random univariate and multivariate finite mixture model generation, estimation, clustering, latent class analysis and classification. Variables can be continuous, discrete, independent or dependent and may follow normal, lognormal, Weibull, gamma, binomial, Poisson, Dirac or circular von Mises parametric families.
| Version: | 2.10.3 |
| Depends: | R (≥ 2.10) |
| Imports: | methods, stats, utils, graphics, grDevices, mvtnorm |
| Suggests: | flexmix, mclust, mixtools |
| Published: | 2018-09-27 |
| Author: | Marko Nagode [aut, cre] |
| Maintainer: | Marko Nagode <marko.nagode at fs.uni-lj.si> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | rebmix citation info |
| Materials: | NEWS |
| In views: | Cluster |
| CRAN checks: | rebmix results |
| Reference manual: | rebmix.pdf |
| Vignettes: |
rebmix: The Rebmix Package |
| Package source: | rebmix_2.10.3.tar.gz |
| Windows binaries: | r-devel: rebmix_2.10.3.zip, r-release: rebmix_2.10.3.zip, r-oldrel: rebmix_2.10.3.zip |
| OS X binaries: | r-release: rebmix_2.10.3.tgz, r-oldrel: rebmix_2.10.3.tgz |
| Old sources: | rebmix archive |
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