rebmix: Finite Mixture Modeling, Clustering & Classification
Version 2.9.3

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.

Package details

AuthorMarko Nagode [aut, cre]
Date of publication2017-08-28 11:56:39 UTC
MaintainerMarko Nagode <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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rebmix documentation built on Aug. 28, 2017, 5:05 p.m.