rebmix (2.10.2)
Finite Mixture Modeling, Clustering & Classification.
http://cran.rproject.org/web/packages/rebmix
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 3 months ago.
24 previous versions
 rebmix_2.10.1. Released 4 months ago.
 rebmix_2.10.0. Released 6 months ago.
 rebmix_2.9.3. Released 12 months ago.
 rebmix_2.9.2. Released about 1 year ago.
 rebmix_2.9.1. Released over 1 year ago.
 rebmix_2.9.0. Released over 1 year ago.
 rebmix_2.8.4. Released over 1 year ago.
 rebmix_2.8.3. Released almost 2 years ago.
 rebmix_2.8.2. Released about 2 years ago.
 rebmix_2.8.1. Released over 2 years ago.
 rebmix_2.8.0. Released over 2 years ago.
 rebmix_2.7.2. Released about 3 years ago.
 rebmix_2.7.1. Released over 3 years ago.
 rebmix_2.7.0. Released over 3 years ago.
 rebmix_2.6.2. Released almost 4 years ago.
 rebmix_2.6.1. Released about 4 years ago.
 rebmix_2.6.0. Released about 4 years ago.
 rebmix_2.5.1. Released almost 5 years ago.
 rebmix_2.5.0. Released over 5 years ago.
 rebmix_2.4.2. Released almost 6 years ago.
 rebmix_2.4.1. Released about 6 years ago.
 rebmix_2.4.0. Released over 6 years ago.
 rebmix_2.3.0. Released over 6 years ago.
 rebmix_2.2.1. Released over 7 years ago.
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