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>
License: GPL-2
NeedsCompilation: yes
Citation: ContaminatedMixt citation info
CRAN checks: ContaminatedMixt results


Reference manual: ContaminatedMixt.pdf


Package source: ContaminatedMixt_1.3.8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


Please use the canonical form to link to this page.