flexmix (2.3-14)

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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.

Maintainer: Bettina Grün
Author(s): Bettina Gruen [aut, cre], Friedrich Leisch [aut], Deepayan Sarkar [ctb], Frederic Mortier [ctb], Nicolas Picard [ctb]

License: GPL (>= 2)

Uses: lattice, modeltools, nnet, SuppDists, codetools, diptest, ellipse, gclus, lme4, mgcv, mlbench, multcomp, mvtnorm, survival, actuar, glmnet, mlogit, MASS
Reverse depends: DAC, fpc, GOSim, psychomix, tlemix
Reverse suggests: betareg, boxcoxmix, HSAUR, HSAUR2, HSAUR3, morpheus, rebmix, tlemix
Reverse enhances: clue

Released about 1 year ago.

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