Thresher: Threshing and Reaping for Principal Components

Defines the classes used to identify outliers (threshing) and compute the number of significant principal components and number of clusters (reaping) in a joint application of PCA and hierarchical clustering. See Wang et al., 2018, <doi:10.1186/s12859-017-1998-9>.

Version: 1.1.0
Depends: R (≥ 3.1), ClassDiscovery, PCDimension
Imports: methods, stats, graphics, grDevices, MASS, colorspace, movMF, ade4, oompaBase
Suggests: NbClust
Published: 2019-03-07
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: Thresher results

Downloads:

Reference manual: Thresher.pdf
Vignettes: Thresher
Package source: Thresher_1.1.0.tar.gz
Windows binaries: r-devel: Thresher_1.1.0.zip, r-release: Thresher_1.1.0.zip, r-oldrel: Thresher_1.1.0.zip
OS X binaries: r-release: Thresher_1.1.0.tgz, r-oldrel: Thresher_1.1.0.tgz
Old sources: Thresher archive

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