Packaged: Tue Oct 19 20:18:59 2004; leisch

Packaged: Mon Jan  3 17:10:22 2005; leisch

Author: Friedrich Leisch and Bettina Gruen
Packaged: Mon Oct 31 14:07:31 2005; leisch

Packaged: Thu May 11 17:04:17 2006; leisch

Depends: lattice, modeltools (>= 0.2-11)
Packaged: Thu May  3 19:16:55 2007; leisch

Depends: lattice, modeltools (>= 0.2-13)
Suggests: MASS, ellipse, grid, mvtnorm, nnet
Packaged: Tue Sep 11 14:28:58 2007; leisch

Packaged: Wed Mar 26 10:29:05 2008; gruen

Depends: lattice, modeltools (>= 0.2-15)
Packaged: Fri May  9 11:24:11 2008; leisch

Depends: lattice, modeltools (>= 0.2-16), multcomp
Description: 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.
Packaged: Fri Oct 3 08:48:06 2008; gruen

Suggests: MASS, codetools, ellipse, gclus, grid, lme4, mgcv (>= 1.6-1),

Suggests: MASS, ellipse, grid, lme4, mvtnorm, nnet

Suggests: MASS, codetools, diptest, ellipse, gclus, grid, lme4, mgcv

Author: Bettina Gruen and Friedrich Leisch
Imports: grid, methods, modeltools (>= 0.2-16), stats, stats4
Suggests: MASS, codetools, diptest, ellipse, gclus, lme4, mgcv (>=
1.6-1), mlbench, mlogit, multcomp, mvtnorm, nnet, survival
of regression models using the EM algorithm.  FlexMix provides

person("Friedrich", "Leisch", role = "aut"),
person("Deepayan", "Sarkar", role = "ctb"))
Imports: grid, methods, modeltools (>= 0.2-16), nnet, stats, stats4
Suggests: codetools, diptest, ellipse, gclus, lme4 (>= 1.0), MASS, mgcv
(>= 1.6-1), mlbench, mlogit, multcomp, mvtnorm, survival

(>= 1.8-0), mlbench, mlogit, multcomp, mvtnorm, survival

person("Deepayan", "Sarkar", role = "ctb"),
person("Frederic", "Mortier", rol = "ctb"),
person("Nicolas", "Picard", rol = "ctb"))
Suggests: codetools, diptest, ellipse, gclus, glmnet, lme4 (>= 1.0),
MASS, mgcv (>= 1.8-0), mlbench, mlogit, multcomp, mvtnorm,