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: |
0.3.6 |
| Depends: |
R (≥ 3.5) |
| Imports: |
ggplot2, dplyr, caret, xgboost, ranger, stats, data.table, e1071, rlang, progress, kknn |
| Suggests: |
testthat, knitr, rmarkdown |
| Published: |
2026-01-21 |
| DOI: |
10.32614/CRAN.package.CCI |
| Author: |
Christian Thorjussen
 [aut, cre],
Kristian Hovde Liland
[aut] |
| Maintainer: |
Christian 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 |