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.


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install.packages("rebmix")

2.10.2 by Marko Nagode, 4 months ago


Browse source code at https://github.com/cran/rebmix


Authors: Marko Nagode [aut, cre]


Documentation:   PDF Manual  


Task views: Cluster Analysis & Finite Mixture Models


GPL (>= 2) license


Imports methods, stats, utils, graphics, grDevices, mvtnorm

Suggests flexmix, mclust, mixtools


See at CRAN