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FORD: Feature Ordering by Integrated R Square Dependence

Feature Ordering by Integrated R square Dependence (FORD) is a variable selection algorithm based on the new measure of dependence: Integrated R2 Dependence Coefficient (IRDC). For more information, see the paper: Azadkia and Roudaki (2025),"A New Measure Of Dependence: Integrated R2" <doi:10.48550/arXiv.2505.18146>.

Version: 0.1.2
Depends: R (≥ 3.6.0), data.table
Imports: RANN, parallel
Suggests: knitr, rmarkdown, markdown, xfun, testthat, minerva, devtools, FOCI, XICOR, KPC, dplyr, ggplot2
Published: 2025-05-30
DOI: 10.32614/CRAN.package.FORD
Author: Pouya Roudaki [aut, cre], Mona Azadkia [aut, ctb]
Maintainer: Pouya Roudaki <roudaki.pouya at gmail.com>
BugReports: https://github.com/PouyaRoudaki/FORD/issues
License: GPL-3
URL: https://github.com/PouyaRoudaki/FORD
NeedsCompilation: no
Materials: README
CRAN checks: FORD results

Documentation:

Reference manual: FORD.pdf
Vignettes: ford-demo (source, R code)
indep-test (source, R code)
irdc-demo (source, R code)

Downloads:

Package source: FORD_0.1.2.tar.gz
Windows binaries: r-devel: FORD_0.1.2.zip, r-release: FORD_0.1.2.zip, r-oldrel: FORD_0.1.2.zip
macOS binaries: r-release (arm64): FORD_0.1.2.tgz, r-oldrel (arm64): FORD_0.1.2.tgz, r-release (x86_64): FORD_0.1.2.tgz, r-oldrel (x86_64): FORD_0.1.2.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FORD to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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