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) <https://chamroukhi.com/FChamroukhi-PhD.pdf>. Chamroukhi F. (2015) <arXiv:1506.06707>. Chamroukhi F. (2015) <https://chamroukhi.com/FChamroukhi-HDR.pdf>. 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>.

Package details

AuthorFaicel Chamroukhi [aut] (<https://orcid.org/0000-0002-5894-3103>), Florian Lecocq [aut, trl, cre] (R port), Marius Bartcus [aut, trl] (R port)
MaintainerFlorian Lecocq <[email protected]>
LicenseGPL (>= 3)
Version0.1.0
URL https://github.com/fchamroukhi/MEteorits
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("meteorits")

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meteorits documentation built on Oct. 7, 2019, 5:05 p.m.