Mixture-of-Experts Modeling for Complex Non-Normal Distributions

Provides a unified mixture-of-experts (ME) modeling and estimation framework with several original and flexible ME models to model, cluster and classify heterogeneous data in many complex situations where the data are distributed according to non-normal, possibly skewed distributions, and when they might be corrupted by atypical observations. Mixtures-of-Experts models for complex and non-normal distributions ('meteorits') are originally introduced and written in 'Matlab' by Faicel Chamroukhi. The references are mainly the following ones. The references are mainly the following ones. Chamroukhi F., Same A., Govaert, G. and Aknin P. (2009) . Chamroukhi F. (2010) < https://chamroukhi.com/FChamroukhi-PhD.pdf>. Chamroukhi F. (2015) . Chamroukhi F. (2015) < https://chamroukhi.com/FChamroukhi-HDR.pdf>. Chamroukhi F. (2016) . Chamroukhi F. (2016) . Chamroukhi F. (2017) .


Reference manual

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0.1.1 by Florian Lecocq, a year ago


Report a bug at https://github.com/fchamroukhi/MEteorits/issues

Browse source code at https://github.com/cran/meteorits

Authors: Faicel Chamroukhi [aut] , Florian Lecocq [aut, trl, cre] (R port) , Marius Bartcus [aut, trl] (R port)

Documentation:   PDF Manual  

GPL (>= 3) license

Imports pracma, methods, stats, MASS, Rcpp

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo

See at CRAN