ContaminatedMixt: Clustering and Classification with the Contaminated Normal

Fits mixtures of multivariate contaminated normal distributions (with eigen-decomposed scale matrices) via the expectation conditional- maximization algorithm under a clustering or classification paradigm Methods are described in Antonio Punzo, Angelo Mazza, and Paul D McNicholas (2018) <doi:10.18637/jss.v085.i10>.

Version:	1.3.8
Depends:	R (≥ 2.15.0)
Imports:	mixture, mnormt, mclust, caret, mvtnorm, grDevices
Published:	2023-05-05
DOI:	10.32614/CRAN.package.ContaminatedMixt
Author:	Antonio Punzo, Angelo Mazza, Paul D. McNicholas
Maintainer:	Angelo Mazza <a.mazza at unict.it>
License:	GPL-2
NeedsCompilation:	yes
Citation:	ContaminatedMixt citation info
CRAN checks:	ContaminatedMixt results

Documentation:

Reference manual:

ContaminatedMixt.html , ContaminatedMixt.pdf

Downloads:

Package source:	ContaminatedMixt_1.3.8.tar.gz
Windows binaries:	r-devel: ContaminatedMixt_1.3.8.zip, r-release: ContaminatedMixt_1.3.8.zip, r-oldrel: ContaminatedMixt_1.3.8.zip
macOS binaries:	r-release (arm64): ContaminatedMixt_1.3.8.tgz, r-oldrel (arm64): ContaminatedMixt_1.3.8.tgz, r-release (x86_64): ContaminatedMixt_1.3.8.tgz, r-oldrel (x86_64): ContaminatedMixt_1.3.8.tgz
Old sources:	ContaminatedMixt archive

Reverse dependencies:

Reverse imports:

flexCWM

Linking:

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