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 Documentation: Reference manual: HiDimDA.pdf Downloads: 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 Linking:Please use the canonical form https://CRAN.R-project.org/package=HiDimDA to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4