oclust: Gaussian Model-Based Clustering with Outliers

Provides a function to detect and trim outliers in Gaussian mixture model-based clustering using methods described in Clark and McNicholas (2022) <doi:10.48550/arXiv.1907.01136>.

Version: 0.2.0
Imports: entropy, stats, utils, mclust, mixture, dbscan, MASS, mvtnorm
Published: 2022-12-16
Author: Katharine M. Clark ORCID iD [aut], Paul D. McNicholas ORCID iD [aut, cre]
Maintainer: Paul D. McNicholas <paulmc at mcmaster.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: oclust results

Documentation:

Reference manual: oclust.pdf

Downloads:

Package source: oclust_0.2.0.tar.gz
Windows binaries: r-devel: oclust_0.2.0.zip, r-release: oclust_0.2.0.zip, r-oldrel: oclust_0.2.0.zip
macOS binaries: r-release (arm64): oclust_0.2.0.tgz, r-oldrel (arm64): oclust_0.2.0.tgz, r-release (x86_64): oclust_0.2.0.tgz
Old sources: oclust archive

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