| flexCWM-package {flexCWM} | R Documentation |
flexCWM - Flexible Cluster Weighted Modeling
Description
Allows for maximum likelihood fitting of cluster-weighted models, a class of mixtures of regression models with random covariates.
Details
| Package: | CWM |
| Type: | Package |
| Version: | 1.7 |
| Date: | 2017-02-14 |
| License: | GNU-2 |
Author(s)
Mazza A., Punzo A., Ingrassia S.
Maintainer: Mazza Angelo <a.mazza@unict.it>
References
Mazza, A., Ingrassia, S., and Punzo, A. (2018). flexCWM: A Flexible Framework for Cluster-Weighted Models. Journal of Statistical Software, 86(2), 1-30.
Ingrassia, S., Minotti, S. C., and Vittadini, G. (2012). Local Statistical Modeling via the Cluster-Weighted Approach with Elliptical Distributions. Journal of Classification, 29(3), 363-401.
Ingrassia, S., Minotti, S. C., and Punzo, A. (2014). Model-based clustering via linear cluster-weighted models. Computational Statistics and Data Analysis, 71, 159-182.
Ingrassia, S., Punzo, A., and Vittadini, G. (2015). The Generalized Linear Mixed Cluster-Weighted Model. Journal of Classification, 32(forthcoming)
Punzo, A. (2014). Flexible Mixture Modeling with the Polynomial Gaussian Cluster-Weighted Model. Statistical Modelling, 14(3), 257-291.