rebmix (2.10.1)

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.

Maintainer: Marko Nagode
Author(s): Marko Nagode [aut, cre]

License: GPL (>= 2)

Uses: mvtnorm, flexmix, mclust, mixtools

Released almost 2 years ago.