ClassDiscovery: Classes and Methods for "Class Discovery" with Microarrays or Proteomics

Defines the classes used for "class discovery" problems in the OOMPA project (<http://oompa.r-forge.r-project.org/>). Class discovery primarily consists of unsupervised clustering methods with attempts to assess their statistical significance.

Version:	3.4.10
Depends:	R (≥ 4.4), cluster, oompaBase (≥ 3.0.1)
Imports:	methods, stats, graphics, grDevices, mclust, oompaData, Biobase, utils
Suggests:	xtable
Published:	2026-07-27
DOI:	10.32614/CRAN.package.ClassDiscovery
Author:	Kevin R. Coombes [aut, cre]
Maintainer:	Kevin R. Coombes <krc at silicovore.com>
License:	Apache License (== 2.0)
URL:	http://oompa.r-forge.r-project.org/
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	ClassDiscovery results

Documentation:

Reference manual:	ClassDiscovery.html , ClassDiscovery.pdf
Vignettes:	OOMPA Mahalanobis Distance (source, R code) OOMPA ClassDiscovery (source, R code)

Downloads:

Package source:	ClassDiscovery_3.4.10.tar.gz
Windows binaries:	r-devel: ClassDiscovery_3.4.9.zip, r-release: ClassDiscovery_3.4.10.zip, r-oldrel: ClassDiscovery_3.4.9.zip
macOS binaries:	r-release (arm64): ClassDiscovery_3.4.10.tgz, r-oldrel (arm64): ClassDiscovery_3.4.10.tgz, r-release (x86_64): ClassDiscovery_3.4.10.tgz, r-oldrel (x86_64): ClassDiscovery_3.4.10.tgz
Old sources:	ClassDiscovery archive

Reverse dependencies:

Reverse depends:	Modeler, PCDimension, Thresher
Reverse imports:	GenAlgo, Mercator, rnaCrosslinkOO, RPointCloud
Reverse suggests:	parameters, plasma

Linking:

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