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ContaminatedMixt:Clustering and Classification with the Contaminated Normal
Fits mixtures of multivariate contaminated normal distributions (with eigen-decomposed scale matrices) via the expectation conditional- maximization algorithm under a clustering or classification paradigm Methods are described in Antonio Punzo, Angelo Mazza, and Paul D McNicholas (2018) <doi:10.18637/jss.v085.i10>.
Maintained by Angelo Mazza. Last updated 2 years ago.
1.48 score 1 dependentscran
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>.
Maintained by Angelo Mazza. Last updated 5 years ago.
1.00 score