| add_interaction_terms | Creates interaction terms for specified variables in a data frame Interaction terms are named as '<var1>_int_<var2>' (e.g., 'Z1_int_Z2' for the product of 'Z1' and 'Z2'). |
| add_poly_terms | Creates polynomial terms for specified variables in a data frame Polynomial terms are named as '<variable>_d_<degree>' (e.g., 'Z1_d_2' for the square of 'Z1'). |
| build_formula | Build an expanded formula with poly and interaction terms |
| CCI | Computational test for conditional independence based on ML and Monte Carlo Cross Validation |
| CCI.direction | Choose Direction for testing for the CCI test |
| CCI.pretuner | CCI tuner function for CCI test |
| CCI.test | Computational test for conditional independence based on ML and Monte Carlo Cross Validation |
| check_formula | Check the formula statement |
| clean_formula | Clean and Reformat Formula String |
| ExponentialNoise | Example dataset: ExponentialNoise |
| get_pvalues | P-value Calculation Based on Null Distribution and Test Statistic |
| get_tuned_params | Get the best parameters after tuning with CCI.tuner |
| HardCase | Example dataset: HardCase |
| NonLinearCategorization | Example dataset: NonLinearCategorization |
| NonLinNormal | Example dataset: NonLinNormal |
| NonLinNormalZs_d0 | Example dataset: NonLinNormalZs_d0 |
| NonLinNormalZs_d05 | Example dataset: NonLinNormalZs_d05 |
| NormalData | Example dataset: NormalData |
| perm.test | Permutation Test for Conditional Independence |
| plot.CCI | Plot for CCI testing |
| PoissonNoise | Example dataset: PoissonNoise |
| PolyData | Example dataset: PolyData |
| print.CCI | Print and summary methods for the CCI class |
| print.summary.CCI | Print and summary methods for the CCI class |
| QQplot | QQ-plot for multiple testing in CCI |
| reports | Print and summary methods for the CCI class |
| summary.CCI | Print and summary methods for the CCI class |
| test.gen | Generate the Test Statistic or Null Distribution Using Permutation |
| tuner | CCI tuner function for CCI test |
| UniformNoise_large | Example dataset: UniformNoise_large |
| wrapper_ranger | Random Forest wrapper for CCI |
| wrapper_svm | SVM wrapper for CCI |
| wrapper_xgboost | Extreme Gradient Boosting wrapper for CCI |