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