Computational Test for Conditional Independence
Extreme Gradient Boosting wrapper for CCI
Creates interaction terms for specified variables in a data frame Inte...
P-value Calculation Based on Null Distribution and Test Statistic
Creates polynomial terms for specified variables in a data frame Polyn...
Build an expanded formula with poly and interaction terms
Choose Direction for testing for the CCI test
CCI tuner function for CCI test
Computational test for conditional independence based on ML and Monte ...
Check the formula statement
Clean and Reformat Formula String
Get the best parameters after tuning with CCI.tuner
Permutation Test for Conditional Independence
Plot for CCI testing
QQ-plot for multiple testing in CCI
Print and summary methods for the CCI class
Generate the Test Statistic or Null Distribution Using Permutation
Random Forest wrapper for CCI
SVM wrapper for CCI
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>.