The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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
DOI: 10.32614/CRAN.package.oclust
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, r-oldrel (x86_64): oclust_0.2.0.tgz
Old sources: oclust archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.