flexCWM: Flexible Cluster-Weighted Modeling

Allows maximum likelihood fitting of cluster-weighted models, a class of mixtures of regression models with random covariates. Methods are described in Angelo Mazza, Antonio Punzo, Salvatore Ingrassia (2018) <doi:10.18637/jss.v086.i02>.

Version: 1.92
Depends: R (≥ 3.0.0)
Imports: stats, graphics, parallel, numDeriv, mclust, statmod, ContaminatedMixt
Published: 2020-03-27
Author: Mazza A., Punzo A., Ingrassia S.
Maintainer: Angelo Mazza <a.mazza at unict.it>
License: GPL-2
NeedsCompilation: no
Citation: flexCWM citation info
CRAN checks: flexCWM results

Downloads:

Reference manual: flexCWM.pdf
Package source: flexCWM_1.92.tar.gz
Windows binaries: r-devel: flexCWM_1.92.zip, r-devel-gcc8: not available, r-release: flexCWM_1.92.zip, r-oldrel: flexCWM_1.92.zip
OS X binaries: r-release: flexCWM_1.92.tgz, r-oldrel: not available
Old sources: flexCWM archive

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