Package: FOCI 0.1.3

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>.

Authors:Mona Azadkia [aut, cre], Sourav Chatterjee [aut, ctb], Norman Matloff [aut, ctb]

FOCI_0.1.3.tar.gz
FOCI_0.1.3.zip(r-4.7-any)FOCI_0.1.3.zip(r-4.6-any)FOCI_0.1.3.zip(r-4.5-any)
FOCI_0.1.3.tgz(r-4.6-any)FOCI_0.1.3.tgz(r-4.5-any)
FOCI_0.1.3.tar.gz(r-4.7-any)FOCI_0.1.3.tar.gz(r-4.6-any)
FOCI_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
FOCI/json (API)

# Install 'FOCI' in R:
install.packages('FOCI', repos = c('https://monaazadkia.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4.55 score 4 stars 4 packages 37 scripts 486 downloads 2 exports 4 dependencies

Last updated from:8ebce7c9ce. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK115
source / vignettesOK215
linux-releaseOK191
macos-releaseOK147
macos-oldrelOK166
windows-develOK96
windows-releaseOK76
windows-oldrelOK63
wasm-releaseOK93

Exports:codecfoci

Dependencies:data.tablegmpproxyRANN

codec
Dependence and Conditional Dependence

Last update: 2020-05-16
Started: 2019-12-17

foci
Example 1 | Example 2

Last update: 2020-05-16
Started: 2019-12-17