folda: Forward Stepwise Discriminant Analysis with Pillai's Trace
A novel forward stepwise discriminant analysis framework that integrates Pillai's trace with Uncorrelated Linear Discriminant Analysis (ULDA), providing an improvement over traditional stepwise LDA methods that rely on Wilks' Lambda. A stand-alone ULDA implementation is also provided, offering a more general solution than the one available in the 'MASS' package. It automatically handles missing values and provides visualization tools. For more details, see Wang (2024) <doi:10.48550/arXiv.2409.03136>.
| Version: | 0.2.0 |
| Imports: | ggplot2, grDevices, Rcpp, stats |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2024-10-29 |
| DOI: | 10.32614/CRAN.package.folda |
| Author: | Siyu Wang  [aut,
cre, cph] |
| Maintainer: | Siyu Wang <iamwangsiyu at gmail.com> |
| BugReports: | https://github.com/Moran79/folda/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/Moran79/folda, http://iamwangsiyu.com/folda/ |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | folda results |
Documentation:
| Reference manual: | folda.pdf |
| Vignettes: |
Introduction to folda (source, R code) |
Downloads:
| Package source: | folda_0.2.0.tar.gz |
| Windows binaries: | r-devel: folda_0.2.0.zip, r-release: folda_0.2.0.zip, r-oldrel: folda_0.2.0.zip |
| macOS binaries: | r-release (arm64): folda_0.2.0.tgz, r-oldrel (arm64): folda_0.2.0.tgz, r-release (x86_64): folda_0.2.0.tgz, r-oldrel (x86_64): folda_0.2.0.tgz |
| Old sources: | folda archive |
Reverse dependencies:
| Reverse imports: | LDATree |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=folda to link to this page.