Search methods

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

Contents:

• Constraint-based causal discovery methods
  • PC
    • Algorithm Introduction
    • Usage
    • Advanced Usages
    • Parameters
    • Returns
  • FCI
    • Algorithm Introduction
    • Usage
    • Parameters
    • Returns
  • CD-NOD
    • 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
    • VAR-LiNGAM
    • RCD
    • CAM-UV
  • Post-nonlinear causal models
    • Algorithm Introduction
    • Usage
    • Parameters
    • Returns
  • Additive noise models
    • Algorithm Introduction
    • Usage
    • Parameters
    • Returns
• Hidden causal representation learning
  • Generalized Independence Noise (GIN) condition-based method
    • Algorithm Introduction
    • Usage
    • Parameters
    • Returns
• Permutation-based causal discovery methods
  • GRaSP
    • Algorithm Introduction
    • Usage
    • Parameters
    • Returns
• Granger causality
  • Linear granger causality
    • Algorithm Introduction
    • Usage
    • Parameters
    • Returns