rebmix: Finite Mixture Modeling, Clustering & Classification
Version 2.9.1

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 or Dirac parametric families.

Getting started

Package details

AuthorMarko Nagode [aut, cre]
Date of publication2017-03-19 06:33:31
MaintainerMarko Nagode <marko.nagode@fs.uni-lj.si>
LicenseGPL (>= 2)
Version2.9.1
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("rebmix", repos="http://R-Forge.R-project.org")

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rebmix documentation built on May 21, 2017, 12:52 a.m.