vscc: Variable Selection for Clustering and Classification

Performs variable selection/feature reduction under a clustering or classification framework. In particular, it can be used in an automated fashion using mixture model-based methods ('teigen' and 'mclust' are currently supported). See Andrews and McNicholas (2014) <doi:10.1007/s00357-013-9139-2>.

Version: 0.4
Imports: teigen, mclust
Published: 2022-10-16
Author: Jeffrey L. Andrews [aut, cre], Paul D. McNicholas [aut]
Maintainer: Jeffrey L. Andrews <jeff.andrews at ubc.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: vscc citation info
Materials: ChangeLog
CRAN checks: vscc results


Reference manual: vscc.pdf


Package source: vscc_0.4.tar.gz
Windows binaries: r-devel: vscc_0.4.zip, r-release: vscc_0.4.zip, r-oldrel: vscc_0.4.zip
macOS binaries: r-release (arm64): vscc_0.4.tgz, r-oldrel (arm64): vscc_0.4.tgz, r-release (x86_64): vscc_0.4.tgz, r-oldrel (x86_64): vscc_0.4.tgz
Old sources: vscc archive


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