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 (2024) <doi:10.1007/s00357-024-09473-3>.

Version: 1.0.0
Imports: entropy, graphics, stats, utils, mclust, mixture, dbscan, MASS, mvtnorm, progress
Suggests: testthat
Published: 2025-07-08
Author: Katharine M. Clark ORCID iD [aut, cre], Paul D. McNicholas ORCID iD [aut]
Maintainer: Katharine M. Clark <katclark at trentu.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_1.0.0.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_1.0.0.tgz, r-oldrel (arm64): oclust_1.0.0.tgz, r-release (x86_64): oclust_1.0.0.tgz, r-oldrel (x86_64): oclust_1.0.0.tgz
Old sources: oclust archive

Linking:

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