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 |
| In views: | MachineLearning |
| CRAN checks: | FOCI results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=FOCIto link to this page.