flexmix (2.2-11)
Flexible Mixture Modeling.
http://www.aasc.or.at/mixtures
http://cran.r-project.org/web/packages/flexmix
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 Gruen
Author(s): Friedrich Leisch and Bettina Gruen
License: GPL (>= 2)
Uses: lattice, modeltools, multcomp, codetools, ellipse, gclus, lme4, mgcv, mlbench, mvtnorm, MASS, nnet
Reverse depends: fpc, GOSim, psychomix, tlemix
Reverse suggests: betareg, HSAUR, HSAUR2, tlemix
Reverse enhances: clue
Released over 2 years ago.
