rebmix: Finite Mixture Modeling, Clustering & Classification

R functions for 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, binomial, Poisson, Dirac or circular von Mises parametric families.

Package details

AuthorMarko Nagode [aut, cre]
MaintainerMarko Nagode <[email protected]>
LicenseGPL (>= 2)
Version2.10.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("rebmix")

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rebmix documentation built on Sept. 27, 2018, 5:03 p.m.