The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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: | 0.2-7 |
Depends: | R (≥ 2.10.0) |
Imports: | splines |
Suggests: | MASS |
Published: | 2024-10-06 |
DOI: | 10.32614/CRAN.package.HiDimDA |
Author: | Antonio Pedro Duarte Silva [aut, cre] |
Maintainer: | Antonio Pedro Duarte Silva <psilva at ucp.pt> |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
Materials: | ChangeLog |
CRAN checks: | HiDimDA results |
Reference manual: | HiDimDA.pdf |
Package source: | HiDimDA_0.2-7.tar.gz |
Windows binaries: | r-devel: HiDimDA_0.2-7.zip, r-release: HiDimDA_0.2-7.zip, r-oldrel: HiDimDA_0.2-7.zip |
macOS binaries: | r-release (arm64): HiDimDA_0.2-7.tgz, r-oldrel (arm64): HiDimDA_0.2-7.tgz, r-release (x86_64): HiDimDA_0.2-7.tgz, r-oldrel (x86_64): HiDimDA_0.2-7.tgz |
Old sources: | HiDimDA archive |
Please use the canonical form https://CRAN.R-project.org/package=HiDimDA to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.