Package edu.cmu.tetrad.algcomparison.algorithm.oracle.pag


package edu.cmu.tetrad.algcomparison.algorithm.oracle.pag
  • Classes
    Class
    Description
    This class represents the FCIT algorithm, which is an implementation of the FGES-FCI algorithm for learning causal structures from observational data using the BOSS algorithm as an initial CPDAG and using all score-based steps afterward.
    Adjusts FGES-FCI to use a permutation algorithm (such as BOSS-Tuck) to do the initial steps of finding adjacencies and unshielded colliders.
    CCD (Cyclic Causal Discovery)
    Conservative FCI.
    This class represents the Detect-Mimic-FCIT (DM-FCIT) algorithm, a specialized variant of the DM-PC and FCIT algorithms designed to identify intermediate latent variables.
    This class represents the Detect-Mimic-FCIT (DM-FCIT) algorithm, a specialized variant of the DM-PC and FCIT algorithms designed to identify intermediate latent variables.
    Detect-Mimic-PC (DM-PC) algorithm.
    The Fast Causal Inference (FCI) algorithm.
    FCI-Max algorithm.
    This class represents the FCI Targeted Testing (FCIT) algorithm, which is variant of the *-FCI algorithm for learning causal structures from observational data using the BOSS algorithm as an initial CPDAG and using all score-based steps afterward.
    The Fges-FCI class represents the Greedy Fast Causal Inference algorithm, adjusted as in *-FCI.
    The GFCI class represents the Greedy Fast Causal Inference algorithm, adjusted as in *-FCI.
    GRaSP-FCI, an implentatation of *-FCI using GRaSP.
    Jan 29, 2023 3:45:09 PM
    RFCI.
    Runs RFCI-BSC, which is RFCI with bootstrap sampling of PAGs.
    Adjusts GFCI to use a permutation algorithm (in this case SP) to do the initial steps of finding adjacencies and unshielded colliders.
    The SvarFci class is an implementation of the SVAR Fast Causal Inference algorithm.
    SvarGfci class is an implementation of the SVAR GFCI algorithm.