VHDClassification: Discrimination/Classification in very high dimension with linear and quadratic rules

This package provides an implementation of Linear discriminant analysis and quadratic discriminant analysis that works fine in very high dimension (when there are many more variables than observations).

Version: 0.3
Depends: methods, e1071, lattice, stats
Suggests: pamr, randomForest
Published: 2013-12-18
Author: Robin Girard
Maintainer: Robin Girard <robin.girard at mines-paristech.fr>
License: GPL-2
NeedsCompilation: no
CRAN checks: VHDClassification results


Reference manual: VHDClassification.pdf


Package source: VHDClassification_0.3.tar.gz
Windows binaries: r-prerel: VHDClassification_0.3.zip, r-release: VHDClassification_0.3.zip, r-oldrel: VHDClassification_0.3.zip
macOS binaries: r-prerel (arm64): VHDClassification_0.3.tgz, r-release (arm64): VHDClassification_0.3.tgz, r-oldrel (arm64): VHDClassification_0.3.tgz, r-prerel (x86_64): VHDClassification_0.3.tgz, r-release (x86_64): VHDClassification_0.3.tgz
Old sources: VHDClassification archive


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