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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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