flexmix (2.3-15)

Flexible Mixture Modeling.


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.

Maintainer: Bettina Grün
Author(s): Bettina Gruen [aut, cre] (<https://orcid.org/0000-0001-7265-4773>), Friedrich Leisch [aut] (<https://orcid.org/0000-0001-7278-1983>), Deepayan Sarkar [ctb] (<https://orcid.org/0000-0003-4107-1553>), Frederic Mortier [ctb], Nicolas Picard [ctb] (<https://orcid.org/0000-0001-5548-9171>)

License: GPL (>= 2)

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

Released 2 months ago.