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DESCRIPTION
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DESCRIPTION
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Type: Package
Package: meteorits
Title: Mixture-of-Experts Modeling for Complex Non-Normal Distributions
Version: 0.1.1.9000
Authors@R: c(person("Faicel", "Chamroukhi", role = c("aut"),
comment = c(ORCID = "0000-0002-5894-3103"),
email = "faicel.chamroukhi@unicaen.fr"),
person("Florian", "Lecocq", role = c("aut","trl","cre"), comment = "R port",
email = "florian.lecocq@outlook.com"),
person("Marius", "Bartcus", role = c("aut","trl"), comment = "R port",
email = "marius.bartcus@gmail.com"))
Description: 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>.
URL: https://github.com/fchamroukhi/MEteorits
BugReports: https://github.com/fchamroukhi/MEteorits/issues
License: GPL (>= 3)
Depends:
R (>= 2.10)
Imports:
pracma,
methods,
stats,
MASS,
Rcpp
Suggests:
knitr,
rmarkdown
LinkingTo:
Rcpp,
RcppArmadillo
Collate:
meteorits-package.R
RcppExports.R
logsumexp.R
utils.R
sampleUnivNMoE.R
sampleUnivSNMoE.R
sampleUnivStMoE.R
sampleUnivTMoE.R
ParamSNMoE.R
ParamStMoE.R
ParamTMoE.R
ParamNMoE.R
StatSNMoE.R
StatStMoE.R
StatTMoE.R
StatNMoE.R
ModelSNMoE.R
ModelStMoE.R
ModelTMoE.R
ModelNMoE.R
emSNMoE.R
emStMoE.R
emTMoE.R
emNMoE.R
data-tempanomalies.R
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 6.1.1