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>
License: GPL-3
NeedsCompilation: no
CRAN checks: FOCI results


Reference manual: FOCI.pdf
Vignettes: codec


Package source: FOCI_0.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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: PolyTree, qeML


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