rebmix: Finite Mixture Modeling, Clustering & Classification

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, Gumbel, binomial, Poisson, Dirac, uniform or circular von Mises parametric families.

Version: 2.16.0
Depends: R (≥ 3.1.0)
Imports: methods, stats, utils, graphics, grDevices
Published: 2024-07-10
DOI: 10.32614/CRAN.package.rebmix
Author: Marko Nagode ORCID iD [aut, cre], Branislav Panic ORCID iD [ctb], Jernej Klemenc ORCID iD [ctb], Simon Oman ORCID iD [ctb]
Maintainer: Marko Nagode <marko.nagode at>
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_2.16.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): rebmix_2.16.0.tgz, r-oldrel (arm64): rebmix_2.16.0.tgz, r-release (x86_64): rebmix_2.16.0.tgz, r-oldrel (x86_64): rebmix_2.16.0.tgz
Old sources: rebmix archive


Please use the canonical form to link to this page.