Computational Test for Conditional Independence [R package CCI version 0.3.4]

CCI: Computational Test for Conditional Independence

Tool for performing computational testing for conditional independence between variables in a dataset. 'CCI' implements permutation in combination with Monte Carlo Cross-Validation in generating null distributions and test statistics. For more details see Computational Test for Conditional Independence (2024) <doi:10.3390/a17080323>.

Version: 0.3.4

Depends: R (≥ 3.5)

Imports: ggplot2, dplyr, caret, xgboost, ranger, stats, data.table, e1071, rlang, progress

Suggests: testthat, knitr, rmarkdown

Published: 2025年09月11日

DOI: 10.32614/CRAN.package.CCI

Author: Christian B. H. Thorjussen ORCID iD [aut, cre], Kristian Hovde Liland ORCID iD [aut]

Maintainer: Christian B. H. Thorjussen <christianbern at gmail.com>

BugReports: https://github.com/khliland/CCI/issues

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

URL: https://github.com/khliland/CCI

NeedsCompilation: no

Citation: CCI citation info

Materials: README, NEWS

CRAN checks: CCI results

Documentation:

Reference manual: CCI.html , CCI.pdf

Downloads:

Package source: CCI_0.3.4.tar.gz

Windows binaries: r-devel: CCI_0.3.4.zip, r-release: CCI_0.3.4.zip, r-oldrel: CCI_0.3.4.zip

macOS binaries: r-release (arm64): CCI_0.3.4.tgz, r-oldrel (arm64): CCI_0.3.4.tgz, r-release (x86_64): CCI_0.3.4.tgz, r-oldrel (x86_64): CCI_0.3.4.tgz

Old sources: CCI archive

Linking:

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