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: 1.3.4
Depends: R (≥ 2.15.0)
Imports: mixture, mnormt, mclust, caret, mvtnorm, grDevices
Published: 2019-08-27
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

Downloads:

Reference manual: ContaminatedMixt.pdf
Package source: ContaminatedMixt_1.3.4.tar.gz
Windows binaries: r-devel: ContaminatedMixt_1.3.4.zip, r-release: ContaminatedMixt_1.3.4.zip, r-oldrel: ContaminatedMixt_1.3.4.zip
macOS binaries: r-release: ContaminatedMixt_1.3.4.tgz, r-oldrel: ContaminatedMixt_1.3.4.tgz
Old sources: ContaminatedMixt archive

Reverse dependencies:

Reverse imports: flexCWM

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ContaminatedMixt to link to this page.