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
 [aut],
Paul D. McNicholas
[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:
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