CITK

User Guides

  • Installation
  • Quickstart
  • How to Choose a Conditional Independence Test
  • Interpreting Test Results

Theoretical Foundations

  • What is Conditional Independence?
  • A Taxonomy of Conditional Independence Tests

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

  • API Reference

Development

  • Contributing
  • Changelog
CITK
  • Conditional Independence Test Reference
  • View page source

Conditional Independence Test Reference

This section provides detailed documentation for each of the conditional independence tests implemented in the citk library.

Contents:

  • 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
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