Uses of Interface
edu.cmu.tetrad.algcomparison.utils.TakesIndependenceWrapper
Packages that use TakesIndependenceWrapper
Package
Description
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Uses of TakesIndependenceWrapper in edu.cmu.tetrad.algcomparison.algorithm.continuous.dag
Classes in edu.cmu.tetrad.algcomparison.algorithm.continuous.dag that implement TakesIndependenceWrapperModifier and TypeClassDescriptionclassThe FaskOrig class is an implementation of the FASK-Orig algorithm for causal discovery. -
Uses of TakesIndependenceWrapper in edu.cmu.tetrad.algcomparison.algorithm.multi
Classes in edu.cmu.tetrad.algcomparison.algorithm.multi that implement TakesIndependenceWrapperModifier and TypeClassDescriptionclassWraps the IMaGES algorithm for continuous variables.classWraps the MultiFask algorithm for continuous variables.classRuns FCI on multiple datasets using the IOD pooled dataset independence test. -
Uses of TakesIndependenceWrapper in edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag
Classes in edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag that implement TakesIndependenceWrapperModifier and TypeClassDescriptionclassCD-NOD wrapper for algcomparison.classDeprecated.classCstar class.classFast Adjacency Search (FAS)--i.e., the PC adjacency step, which is used in many algorithms.classGIN (Generalized Independent Noise Search)classGRaSP (Greedy Relaxations of Sparsest Permutation)classPeter/Clark algorithm (PC).classDeprecated.classPC.classPCMCI wrapper for algcomparison. -
Uses of TakesIndependenceWrapper in edu.cmu.tetrad.algcomparison.algorithm.oracle.pag
Classes in edu.cmu.tetrad.algcomparison.algorithm.oracle.pag that implement TakesIndependenceWrapperModifier and TypeClassDescriptionclassAdjusts FGES-FCI to use a permutation algorithm (such as BOSS-Tuck) to do the initial steps of finding adjacencies and unshielded colliders.classCCD (Cyclic Causal Discovery)classDeprecated.classThis 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.classThis 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.classDetect-Mimic-PC (DM-PC) algorithm.classThe Fast Causal Inference (FCI) algorithm.classFCI-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).classDeprecated.classThis 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.classThe Fges-FCI class represents the Greedy Fast Causal Inference algorithm, adjusted as in *-FCI.classThe GFCI class represents the Greedy Fast Causal Inference algorithm, adjusted as in *-FCI.classGRaSP-FCI, an implentatation of *-FCI using GRaSP.classIS-GFCI (Instance-Specific GFCI) wrapper for the algcomparison interface.classRFCI.classAdjusts GFCI to use a permutation algorithm (in this case SP) to do the initial steps of finding adjacencies and unshielded colliders.