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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 |
Reference manual: | FOCI.pdf |
Vignettes: |
codec foci |
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 imports: | didec, PolyTree, qeML |
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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.