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-devel: VHDClassification_0.3.zip, r-release: VHDClassification_0.3.zip, r-oldrel: VHDClassification_0.3.zip
OS X Snow Leopard binaries: r-release: VHDClassification_0.3.tgz, r-oldrel: VHDClassification_0.3.tgz
OS X Mavericks binaries: r-release: VHDClassification_0.3.tgz
Old sources: VHDClassification archive