RGMM: Robust Mixture Model

Algorithms for estimating robustly the parameters of a Gaussian, Student, or Laplace Mixture Model.

Version:	2.1.0
Imports:	Rcpp, foreach, doParallel, mvtnorm, mclust, parallel, LaplacesDemon, genieclust, RSpectra, ggplot2, reshape2, DescTools
LinkingTo:	Rcpp, RcppArmadillo
Published:	2023-11-24
Author:	Antoine Godichon-Baggioni [aut, cre, cph], Stéphane Robin [aut]
Maintainer:	Antoine Godichon-Baggioni <antoine.godichon_baggioni at upmc.fr>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	yes
CRAN checks:	RGMM results

Documentation:

Reference manual:

RGMM.pdf

Downloads:

Package source:	RGMM_2.1.0.tar.gz
Windows binaries:	r-prerel: RGMM_2.1.0.zip, r-release: RGMM_2.1.0.zip, r-oldrel: RGMM_2.1.0.zip
macOS binaries:	r-prerel (arm64): RGMM_2.1.0.tgz, r-release (arm64): RGMM_2.1.0.tgz, r-oldrel (arm64): RGMM_2.1.0.tgz, r-prerel (x86_64): RGMM_2.1.0.tgz, r-release (x86_64): RGMM_2.1.0.tgz
Old sources:	RGMM archive

Linking:

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