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