flexmix (2.3-7)

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.

Maintainer: Bettina Grün
Author(s): Friedrich Leisch and Bettina Gruen

License: GPL (>= 2)

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

Released over 7 years ago.