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 |
macOS binaries: | r-release: HiDimDA_0.2-4.tgz, r-oldrel: HiDimDA_0.2-4.tgz |
Old sources: | HiDimDA archive |
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