A general framework for finite mixtures of regression models using the EM algorithm is implemented. The E-step and all data handling are provided, 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: | 2.3-15 |
Depends: | R (≥ 2.15.0), lattice |
Imports: | graphics, grid, grDevices, methods, modeltools (≥ 0.2-16), nnet, stats, stats4, utils |
Suggests: | actuar, codetools, diptest, Ecdat, ellipse, gclus, glmnet, lme4 (≥ 1.1), MASS, mgcv (≥ 1.8-0), mlbench, multcomp, mvtnorm, SuppDists, survival |
Published: | 2019-02-18 |
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_2.3-15.tar.gz |
Windows binaries: | r-devel: flexmix_2.3-15.zip, r-release: flexmix_2.3-15.zip, r-oldrel: flexmix_2.3-15.zip |
macOS binaries: | r-release: flexmix_2.3-15.tgz, r-oldrel: flexmix_2.3-15.tgz |
Old sources: | flexmix archive |
Reverse depends: | flexmixNL, MAP, psychomix, scde |
Reverse imports: | betareg, CONFESS, CountClust, DAC, distributionsrd, expands, fpc, GOSim, lpme, RobMixReg, sBIC |
Reverse suggests: | boxcoxmix, catdata, HSAUR, HSAUR2, HSAUR3, morpheus, plotmm, rebmix, rexposome, sigminer, tlemix |
Reverse enhances: | clue |
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