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.html , 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:

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