FOCI: Feature Ordering by Conditional Independence (original) (raw)
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 |
| License: | GPL-3 |
| NeedsCompilation: | no |
| In views: | MachineLearning |
| CRAN checks: | FOCI results |
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