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: |
0.1.3 |
Depends: |
R (≥ 3.6.0), data.table |
Imports: |
RANN, proxy, parallel, gmp |
Suggests: |
knitr, rmarkdown, testthat |
Published: |
2021-03-18 |
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 |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=FOCI
to link to this page.