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: 3.3.7
Depends: R (≥ 3.0), cluster, oompaBase (≥ 3.0.1)
Imports: methods, stats, graphics, grDevices, mclust, oompaData, Biobase
Suggests: xtable
Published: 2017-07-12
Author: Kevin R. Coombes
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

Downloads:

Reference manual: ClassDiscovery.pdf
Vignettes: OOMPA Mahalanobis Distance
OOMPA ClassDiscovery
Package source: ClassDiscovery_3.3.7.tar.gz
Windows binaries: r-devel: ClassDiscovery_3.3.7.zip, r-release: ClassDiscovery_3.3.7.zip, r-oldrel: ClassDiscovery_3.3.7.zip
OS X El Capitan binaries: r-release: ClassDiscovery_3.3.7.tgz
OS X Mavericks binaries: r-oldrel: ClassDiscovery_3.3.7.tgz

Reverse dependencies:

Reverse depends: Modeler, PCDimension
Reverse imports: GenAlgo

Linking:

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