FOCI: Feature Ordering by Conditional Independence

Feature Ordering by Conditional Independence (FOCI) is a variable selection algorithm based on the measure of conditional dependence. For more information, see the paper: Azadkia and Chatterjee (2019),"A simple measure of conditional dependence" <doi:10.48550/arXiv.1910.12327>.

Version:	0.1.3
Depends:	R (≥ 3.6.0), data.table
Imports:	RANN, proxy, parallel, gmp
Suggests:	knitr, rmarkdown, testthat
Published:	2021-03-18
DOI:	10.32614/CRAN.package.FOCI
Author:	Mona Azadkia [aut, cre], Sourav Chatterjee [aut, ctb], Norman Matloff [aut, ctb]
Maintainer:	Mona Azadkia <monaazadkia at gmail.com>
License:	GPL-3
NeedsCompilation:	no
In views:	MachineLearning
CRAN checks:	FOCI results

Documentation:

Reference manual:	FOCI.html , FOCI.pdf
Vignettes:	codec (source, R code) foci (source, R code)

Downloads:

Package source:	FOCI_0.1.3.tar.gz
Windows binaries:	r-devel: FOCI_0.1.3.zip, r-release: FOCI_0.1.3.zip, r-oldrel: FOCI_0.1.3.zip
macOS binaries:	r-release (arm64): FOCI_0.1.3.tgz, r-oldrel (arm64): FOCI_0.1.3.tgz, r-release (x86_64): FOCI_0.1.3.tgz, r-oldrel (x86_64): FOCI_0.1.3.tgz
Old sources:	FOCI archive

Reverse dependencies:

Reverse imports:	didec, PolyTree, qeML
Reverse suggests:	FORD

Linking:

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