Package edu.cmu.tetrad.algcomparison.algorithm.oracle.pag
package edu.cmu.tetrad.algcomparison.algorithm.oracle.pag
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ClassesClassDescriptionAdjusts FGES-FCI to use a permutation algorithm (such as BOSS-Tuck) to do the initial steps of finding adjacencies and unshielded colliders.BFCI-Bryan: BOSS followed by the from-scratch, sepset-map-as-state formulation of the gated StarFCI extra-edge-removal step, with sepset RE-SELECTION (a gate-rejected separating set does not retire the pair; the next separating set is tried) and NO saturating step.BFCI-Bryan-Score: BFCI-Bryan (sepset re-selection under the legality gate) with a scoring step: a legal candidate is committed only if the RICF Gaussian BIC of its MAG strictly improves on the committed model's, following Bryan Andrews's "BFCI-Bryan with scoring" pseudocode.Adjusts FGES-FCI to use a permutation algorithm (such as BOSS-Tuck) to do the initial steps of finding adjacencies and unshielded colliders.Adjusts FGES-FCI to use a permutation algorithm (such as BOSS-Tuck) to do the initial steps of finding adjacencies and unshielded colliders./ Hidden from the interface on 2026-10-21 (no @Algorithm annotation): kept only so that saved sessionsBOSS-CCD (Cyclic Causal Discovery with a BOSS adjacency superstructure).BOSS-FCI, the former name of BFCI.BOSS-POD, removed in Tetrad 8.0.0.CCD (Cyclic Causal Discovery)CFCI (Conservative FCI).Implements the CPW (Cyclic Pairwise) algorithm for causal discovery from continuous, causally sufficient observational data.Algorithm-comparison wrapper for the Murray-Watters/Glymour style Detect-Mimic search, DM.DM-FCIT, removed in Tetrad 8.0.0.DM-PC, removed in Tetrad 8.0.0.The Fast Causal Inference (FCI) algorithm.FCI-CPW: Run FCI with internally constructed PW-forbidden knowledge, then orient edges using a pairwise left-right rule on standardized data in cases that are safe under no-selection-bias cyclic semantics: Tail–tail (—) edges Orient per pairwise rule. Tail–circle (—o) edges If pairwise prefers x→y, set x→y (symmetrically, if prefers y→x, set y→x). Circle–circle (o–o) edges If pairwise prefers x→y, set x o→y (symmetrically for y→x).FCI-Max.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.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.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.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.FCIT-SL-Score-Check: the FCIT-SL algorithm with a MAG BIC SCORE CHECK applied to every candidate the search adjudicates.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.GMAS: a latent-variable search that uses no independence tests.GRaSP-FCI, an implentatation of *-FCI using GRaSP.The Iterative Causal Discovery (ICD) algorithm.IS-GFCI (Instance-Specific GFCI) wrapper for the algcomparison interface.Wrapper for LV-BOSS: the fully score-based latent-variable search that embeds a MAG projection inside a BOSS-style search over orders, scored by the exact RICF Gaussian MAG BIC (
MagRicfBicScorer).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.PAG-Sampling-RFCI, the former name of the class now called PagSamplingRfci.Jan 29, 2023 3:45:09 PMRFCI.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.