flexmix: Flexible Mixture Modeling

FlexMix implements a general framework for finite mixtures of regression models using the EM algorithm. FlexMix provides the E-step and all data handling, while the M-step can be supplied by the user to easily define new models. Existing drivers implement mixtures of standard linear models, generalized linear models and model-based clustering.

Version: 2.3-13
Depends: R (≥ 2.15.0), lattice
Imports: grid, methods, modeltools (≥ 0.2-16), nnet, stats, stats4
Suggests: codetools, diptest, ellipse, gclus, glmnet, lme4 (≥ 1.0), MASS, mgcv (≥ 1.8-0), mlbench, mlogit, multcomp, mvtnorm, survival
Published: 2015-01-17
Author: Bettina Gruen [aut, cre], Friedrich Leisch [aut], Deepayan Sarkar [ctb], Frederic Mortier [ctb], Nicolas Picard [ctb]
Maintainer: Bettina Gruen <Bettina.Gruen at jku.at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: flexmix citation info
Materials: NEWS
In views: Cluster, Environmetrics, Psychometrics
CRAN checks: flexmix results


Reference manual: flexmix.pdf
Vignettes: Finite Mixture Model Diagnostics Using Resampling Methods
FlexMix: A General Framework for Finite Mixture Models and Latent Class Regression in R
FlexMix Version 2: Finite Mixtures with Concomitant Variables and Varying and Constant Parameters
Applications of finite mixtures of regression models
Package source: flexmix_2.3-13.tar.gz
Windows binaries: r-devel: flexmix_2.3-13.zip, r-release: flexmix_2.3-13.zip, r-oldrel: flexmix_2.3-13.zip
OS X Mavericks binaries: r-release: flexmix_2.3-13.tgz, r-oldrel: flexmix_2.3-13.tgz
Old sources: flexmix archive

Reverse dependencies:

Reverse depends: psychomix
Reverse imports: betareg, expands, fpc, sBIC
Reverse suggests: catdata, HSAUR, HSAUR2, HSAUR3, rebmix, tlemix
Reverse enhances: clue


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