causal-learn
  • Getting started
  • Search methods
    • Constrained-based causal discovery methods
    • Score-based causal discovery methods
    • Causal discovery methods based on constrained functional causal models
    • Hidden causal representation learning
    • Granger causality
  • (Conditional) independence tests
  • Score functions
  • Utilities
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Search methods

In this section, we would like to introduce search methods for causal discovery in causal-learn.

Contents:

  • Constrained-based causal discovery methods
    • PC
      • Algorithm Introduction
      • Usage
      • Parameters
      • Returns
    • FCI
      • Algorithm Introduction
      • Usage
      • Parameters
      • Returns
  • Score-based causal discovery methods
    • GES with the BIC score or generalized score
      • Algorithm Introduction
      • Usage
      • Parameters
      • Returns
    • Exact Search
      • Algorithm Introduction
      • Usage
      • Parameters
      • Returns
  • Causal discovery methods based on constrained functional causal models
    • LiNGAM-based Methods
      • ICA-based LiNGAM
      • DirectLiNGAM
      • RCD
      • CAM-UV
    • Post-nonlinear causal models
      • Algorithm Introduction
      • Parameters
      • Returns
    • Additive noise models
      • Algorithm Introduction
      • Parameters
      • Returns
  • Hidden causal representation learning
    • Generalized Independence Noise (GIN) condition-based method
      • Algorithm Introduction
      • Usage
      • Parameters
      • Returns
  • Granger causality
    • Linear granger causality
      • Algorithm Introduction
      • Usage
      • Parameters
      • Returns
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