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 (2019) <arXiv:1907.01136>.

Version: 0.1.0
Imports: entropy, stats, utils, mclust
Published: 2019-08-29
Author: Katharine M. Clark, Paul D. McNicholas
Maintainer: Paul D. McNicholas <paulmc at mcmaster.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: oclust results

Documentation:

Reference manual: oclust.pdf

Downloads:

Package source: oclust_0.1.0.tar.gz
Windows binaries: r-devel: oclust_0.1.0.zip, r-release: oclust_0.1.0.zip, r-oldrel: oclust_0.1.0.zip
macOS binaries: r-release (arm64): oclust_0.1.0.tgz, r-oldrel (arm64): oclust_0.1.0.tgz, r-release (x86_64): oclust_0.1.0.tgz, r-oldrel (x86_64): oclust_0.1.0.tgz

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