flexmix: Flexible Mixture Modeling

A general framework for finite mixtures of regression models using the EM algorithm is implemented. The package 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: 2.3-14
Depends: R (≥ 2.15.0), lattice
Imports: graphics, grid, grDevices, methods, modeltools (≥ 0.2-16), nnet, stats, stats4
Suggests: actuar, codetools, diptest, ellipse, gclus, glmnet, lme4 (≥ 1.0), MASS, mgcv (≥ 1.8-0), mlbench, mlogit, multcomp, mvtnorm, SuppDists, survival
Published: 2017-04-28
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

Downloads:

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_2.3-14.tar.gz
Windows binaries: r-devel: flexmix_2.3-14.zip, r-release: flexmix_2.3-14.zip, r-oldrel: flexmix_2.3-14.zip
OS X El Capitan binaries: r-release: flexmix_2.3-14.tgz
OS X Mavericks binaries: r-oldrel: flexmix_2.3-14.tgz
Old sources: flexmix archive

Reverse dependencies:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=flexmix to link to this page.