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: 1.0.2
Depends: R (≥ 3.1), ClassDiscovery, PCDimension
Imports: methods, stats, graphics, grDevices, MASS, colorspace, movMF, ade4, oompaBase
Suggests: NbClust
Published: 2018-10-17
Author: Kevin R. Coombes
Maintainer: Kevin R. Coombes <krc at>
License: Apache License (== 2.0)
NeedsCompilation: no
Materials: NEWS
CRAN checks: Thresher results


Reference manual: Thresher.pdf
Vignettes: Thresher
Package source: Thresher_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: Thresher_1.0.2.tgz, r-oldrel: Thresher_1.0.2.tgz
Old sources: Thresher archive


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