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folda

0.2.0Package record

Forward Stepwise Discriminant Analysis with Pillai's Trace

1packages depend
6.2Kdownloads / year
82.4%test coverage
13/13flavors OK

Overview

About

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.

Changes in 0.2.0
  • Update examples in the README and Vignette.
  • Fallback to base::svd for users that do have the latest C++ Eigen module.
  • Remove redundant help manual.
  • Export the functions needed for the LDATree package.
  • Update the algorithm: Introduce the Chi-Squared variable selection when no significant variables.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.1 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK12 OK2026-04-25
Show 3 earlier changesHide 3 earlier changes
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.2.0
READMEYes · 530 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.2.0Citation fileNoWebsiteYes · pkgdown
Help pages
8
Examples that run
100%8 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
25%

Downloads

6.2K
CRAN downloads in the past year
Rank #8,796 · ~17/day · ~517/mo
Daily download trend is not available in this view yet.
38630 days
1.1K90 days
6.2K1 year
Compare downloads with other packages →
Also on390 r2u5 autocran

Repository

2Stars
0Forks
0Open issues
0Open PRs
2Releases
34Commits
1Commit identities
34 commits · Last activity 2024-10-30 · Default branch at 0.2.0.9000, ahead of CRAN 0.2.0 (checked 2026-10-18)
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
7
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2024-12-11 · 22026-07-07 · 2
PracticesBeta

9 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/moran79/folda on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2024-10-30 · The repository has a site deploy workflow

pkgdown site last built 2024-10-30

CRAN release process (2)
cran-comments.mdrevdep/
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing folda adds 19 packages (9 with compiled code, 17 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (0)
none
Imports (4)
ggplot2grDevicesRcppstats
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

People & History

People (1)
Author, Maintainer since 0.1.0 (2024), Copyright holder
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.2.0Latest
    record
    2024-10-29 · current release · diff ↗ ·
    added 3 exports
    checkPriorAndMisClassCost, getChiSqStat, getMode
  • 0.1.0
    record
    2024-09-11
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-09-11
Total releases
2 / 2 yrs
License
MIT + file LICENSE OSI
Download size
520 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("folda")
Wang, S. (2024). folda: Forward Stepwise Discriminant Analysis with Pillai's Trace (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.folda

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for folda version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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