meteorits: 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) <doi:10.1016/j.neunet.2009.06.040>. Chamroukhi F. (2010) <>. Chamroukhi F. (2015) <arXiv:1506.06707>. Chamroukhi F. (2015) <>. Chamroukhi F. (2016) <doi:10.1109/IJCNN.2016.7727580>. Chamroukhi F. (2016) <doi:10.1016/j.neunet.2016.03.002>. Chamroukhi F. (2017) <doi:10.1016/j.neucom.2017.05.044>.

Version: 0.1.1
Depends: R (≥ 2.10)
Imports: pracma, methods, stats, MASS, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2020-01-10
Author: Faicel Chamroukhi ORCID iD [aut], Florian Lecocq [aut, trl, cre] (R port), Marius Bartcus [aut, trl] (R port)
Maintainer: Florian Lecocq <florian.lecocq at>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: meteorits citation info
Materials: README NEWS
CRAN checks: meteorits results


Reference manual: meteorits.pdf
Vignettes: A-quick-tour-of-NMoE


Package source: meteorits_0.1.1.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): meteorits_0.1.1.tgz, r-release (x86_64): meteorits_0.1.1.tgz, r-oldrel: meteorits_0.1.1.tgz
Old sources: meteorits archive


Please use the canonical form to link to this page.