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

Author(s)

Mazza A., Punzo A., Ingrassia S.

Maintainer: Mazza Angelo <a.mazza@unict.it>

References

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.

See Also

cwm

Results