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

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

Version: 0.2
Depends: methods, e1071, lattice, stats
Suggests: pamr, randomForest
Published: 2010-06-16
Author: Robin Girard
Maintainer: <robin.girard at mines-paristech.fr>
License: GPL-2
NeedsCompilation: no
CRAN checks: VHDClassification results

Downloads:

Package source: VHDClassification_0.2.tar.gz
MacOS X binary: VHDClassification_0.2.tgz
Windows binary: VHDClassification_0.2.zip
Reference manual: VHDClassification.pdf
Old sources: VHDClassification archive