Uses of Interface
edu.cmu.tetrad.algcomparison.utils.TakesScoreWrapper
Packages that use TakesScoreWrapper
Package
Description
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Uses of TakesScoreWrapper in edu.cmu.tetrad.algcomparison.algorithm.continuous.dag
Classes in edu.cmu.tetrad.algcomparison.algorithm.continuous.dag that implement TakesScoreWrapperModifier and TypeClassDescriptionclassDirect LiNGAM.classFASK algorithm.classThe FaskOrig class is an implementation of the FASK-Orig algorithm for causal discovery. -
Uses of TakesScoreWrapper in edu.cmu.tetrad.algcomparison.algorithm.multi
Classes in edu.cmu.tetrad.algcomparison.algorithm.multi that implement TakesScoreWrapperModifier and TypeClassDescriptionclassWraps the MultiFask algorithm for continuous variables.classWraps the IMaGES algorithm for continuous variables.classWraps the IMaGES algorithm for continuous variables. -
Uses of TakesScoreWrapper in edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag
Classes in edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag that implement TakesScoreWrapperModifier and TypeClassDescriptionclassBOSS (Best Order Score Search)classCstar class.classFGES (the heuristic version).classFGES-MB (the heuristic version).classGRaSP (Greedy Relaxations of Sparsest Permutation)classBOSS-DC (Best Order Score Search Divide and Conquer)classSP (Sparsest Permutation) -
Uses of TakesScoreWrapper in edu.cmu.tetrad.algcomparison.algorithm.oracle.pag
Classes in edu.cmu.tetrad.algcomparison.algorithm.oracle.pag that implement TakesScoreWrapperModifier and TypeClassDescriptionclassAdjusts FGES-FCI to use a permutation algorithm (such as BOSS-Tuck) to do the initial steps of finding adjacencies and unshielded colliders.classThis 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.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.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.classAdjusts GFCI to use a permutation algorithm (in this case SP) to do the initial steps of finding adjacencies and unshielded colliders.