Movatterモバイル変換


[0]ホーム

URL:


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.html ,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 formhttps://CRAN.R-project.org/package=FORDto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp