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" <arXiv:1910.12327>.

Version: 0.1.2
Depends: R (≥ 3.6.0), data.table
Imports: RANN, proxy, parallel, gmp
Suggests: knitr, rmarkdown, testthat
Published: 2020-05-16
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_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: FOCI_0.1.2.tgz, r-oldrel: FOCI_0.1.2.tgz
Old sources: FOCI archive


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