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CCI: Computational Test for Conditional Independence (original) (raw)

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: 2025-09-11
DOI: 10.32614/CRAN.package.CCI
Author: Christian B. H. ThorjussenORCID iD [aut, cre], Kristian Hovde LilandORCID iD [aut]
Maintainer: Christian B. H. Thorjussen
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

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