HiDimDA: High Dimensional Discriminant Analysis

Performs linear discriminant analysis in high dimensional problems based on reliable covariance estimators for problems with (many) more variables than observations. Includes routines for classifier training, prediction, cross-validation and variable selection.

Version: 0.2-4
Depends: R (≥ 2.10.0)
Imports: splines
Suggests: MASS
Published: 2015-10-19
Author: Antonio Pedro Duarte Silva
Maintainer: Antonio Pedro Duarte Silva <psilva at porto.ucp.pt>
License: GPL (≥ 3)
URL: http://www.r-project.org
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: HiDimDA results


Reference manual: HiDimDA.pdf
Package source: HiDimDA_0.2-4.tar.gz
Windows binaries: r-devel: HiDimDA_0.2-4.zip, r-release: HiDimDA_0.2-4.zip, r-oldrel: HiDimDA_0.2-4.zip
OS X El Capitan binaries: r-release: HiDimDA_0.2-4.tgz
OS X Mavericks binaries: r-oldrel: HiDimDA_0.2-4.tgz
Old sources: HiDimDA archive


Please use the canonical form https://CRAN.R-project.org/package=HiDimDA to link to this page.