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.html , 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 |
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