rebmix: Finite Mixture Modeling, Clustering & Classification

R functions for random univariate and multivariate finite mixture model generation, estimation, clustering 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: 2.9.2
Depends: R (≥ 2.10)
Imports: methods, stats, utils, graphics, grDevices, mvtnorm
Suggests: flexmix, mclust, mixtools
Published: 2017-06-09
Author: Marko Nagode [aut, cre]
Maintainer: Marko Nagode <marko.nagode at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: rebmix citation info
Materials: NEWS
CRAN checks: rebmix results


Reference manual: rebmix.pdf
Vignettes: rebmix: The Rebmix Package
Package source: rebmix_2.9.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: rebmix_2.9.2.tgz
OS X Mavericks binaries: r-oldrel: rebmix_2.9.2.tgz
Old sources: rebmix archive


Please use the canonical form to link to this page.