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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
CRAN checks: FOCI results

Documentation:

Reference manual: FOCI.pdf
Vignettes: codec
foci

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=FOCI 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.