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 + fileLICENSE |
| URL: | https://github.com/Moran79/folda,http://iamwangsiyu.com/folda/ |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| CRAN checks: | folda results |
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