CRAN/E | rebmix

rebmix

Finite Mixture Modeling, Clustering & Classification

Installation

About

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, Gumbel, binomial, Poisson, Dirac, uniform or circular von Mises parametric families.

Citation rebmix citation info

Key Metrics

Version 2.15.0
R ≥ 3.1.0
Published 2023-07-16 451 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks rebmix results

Downloads

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Maintainer

Maintainer

Marko Nagode

Authors

Marko Nagode

aut / cre

Branislav Panic

ctb

Jernej Klemenc

ctb

Simon Oman

ctb

Material

NEWS
Reference manual
Package source

In Views

Cluster

Vignettes

rebmix: The Rebmix Package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rebmix archive

Depends

R ≥ 3.1.0

Imports

methods
stats
utils
graphics
grDevices