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
DOI: 10.32614/CRAN.package.flexCWM
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


Reference manual: flexCWM.pdf


Package source: flexCWM_1.92.tar.gz
Windows binaries: r-devel: flexCWM_1.92.zip, r-release: flexCWM_1.92.zip, r-oldrel: flexCWM_1.92.zip
macOS binaries: r-release (arm64): flexCWM_1.92.tgz, r-oldrel (arm64): flexCWM_1.92.tgz, r-release (x86_64): flexCWM_1.92.tgz, r-oldrel (x86_64): flexCWM_1.92.tgz
Old sources: flexCWM archive


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