Welcome to the documentation!
This library provides a comprehensive suite of tools for performing conditional independence testing. This documentation serves as a practical user guide and a research reference for the underlying statistical theory.
User Guides
Theoretical Foundations
Conditional Independence Tests
- Conditional Independence Test Reference
- Chi-Squared Test
- G-Squared Test
- Fisher’s Z Test
- Spearman’s Rho Test
- Logistic Regression Test
- Poisson Regression Test
- Linear Regression Test
- Kernel Conditional Independence (KCI) Test
- Random Forest CI Test
- Double Machine Learning (DML) CI Test
- Conformalized Residual Independence Test (CRIT)
- E-Value Double Machine Learning (EDML) CI Test
API Reference
Development