Uses of Interface
edu.cmu.tetrad.algcomparison.utils.AcceptsKnowledge

Packages that use AcceptsKnowledge

Package	Description
edu.cmu.tetrad.algcomparison.algorithm.continuous.dag
edu.cmu.tetrad.algcomparison.algorithm.multi
edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag
edu.cmu.tetrad.algcomparison.algorithm.oracle.pag
edu.cmu.tetrad.algcomparison.algorithm.other
edu.cmu.tetrad.algcomparison.score
edu.cmu.tetrad.algcomparison.simulation
edu.cmu.tetrad.algcomparison.statistic

Uses of AcceptsKnowledge in edu.cmu.tetrad.algcomparison.algorithm.continuous.dag

Classes in edu.cmu.tetrad.algcomparison.algorithm.continuous.dag that implement AcceptsKnowledge

Modifier and Type	Class	Description
class	DirectLingam	Direct LiNGAM.
class	Fask	FASK algorithm.
class	FaskOrig	Deprecated.

Uses of AcceptsKnowledge in edu.cmu.tetrad.algcomparison.algorithm.multi

Classes in edu.cmu.tetrad.algcomparison.algorithm.multi that implement AcceptsKnowledge

Modifier and Type	Class	Description
class	FaskConcatenated	Wraps the IMaGES algorithm for continuous variables.
class	FaskPool	Wraps the pooled-FASK multi-dataset algorithm for continuous variables.
class	FaskVote	Wraps the MultiFask algorithm for continuous variables.
class	FciIod	Runs FCI on multiple datasets using the IOD pooled dataset independence test.
class	FgesConcatenated	Requires that the parameter 'randomSelectionSize' be set to indicate how many datasets should be taken at a time (randomly).
class	Images	Wraps the IMaGES algorithm for continuous variables.
class	ImagesBoss	Wraps the IMaGES algorithm for continuous variables.
class	ImagesFges	Wraps the IMaGES algorithm for continuous variables.

Uses of AcceptsKnowledge in edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag

Classes in edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag that implement AcceptsKnowledge

Modifier and Type	Class	Description
class	Boss	BOSS (Best Order Score Search)
class	BossCdnodScore	BOSS + score-based CD-NOD context augmentation.
class	BossTopK	BOSS-TopK (Best Order Score Search, Top K).
class	BossTrekMimic	Deprecated.
class	Cam	Represents the CAM algorithm, which is a causal additive model search algorithm.
class	Cdnod	CD-NOD wrapper for algcomparison.
class	CdnodBoss	Algcomparison wrapper for the CD-NOD-BOSS search (CdnodBoss): a BOSS backbone with constraint-based collider orientation applied only to unshielded triples that BOSS leaves fully undirected, followed by Meek closure.
class	CdnodPag	CD-NOD wrapper for algcomparison.
class	Cpc	Conservative PC (CPC).
class	Fas	Fast Adjacency Search (FAS)--i.e., the PC adjacency step, which is used in many algorithms.
class	Fges	FGES (the heuristic version).
class	FgesMb	FGES-MB (the heuristic version).
class	Grasp	GRaSP (Greedy Relaxations of Sparsest Permutation)
class	IsFges	IS-FGES (Instance-Specific FGES) wrapper for the algcomparison interface.
class	Pc	Peter/Clark algorithm (PC).
class	PcAr	Peter/Clark algorithm with adjacency-rescue (PcAR): PC augmented with detection, and optionally repair, of cancelled unfaithful-triangle edges.
class	Pcd	PC.
class	PcMax	PC-Max.
class	PcMb	PC.
class	Pcmci	PCMCI wrapper for algcomparison.
class	SingleGraphAlg	PC.
class	Sp	SP (Sparsest Permutation)
class	Tgin	Deprecated.
class	TrekMimic	Algorithm-comparison wrapper for the Trek-MIMIC search.

Uses of AcceptsKnowledge in edu.cmu.tetrad.algcomparison.algorithm.oracle.pag

Classes in edu.cmu.tetrad.algcomparison.algorithm.oracle.pag that implement AcceptsKnowledge

Modifier and Type	Class	Description
class	Bfci	Adjusts FGES-FCI to use a permutation algorithm (such as BOSS-Tuck) to do the initial steps of finding adjacencies and unshielded colliders.
class	BfciBryan	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.
class	BfciBryanScore	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.
class	BfciC	Adjusts FGES-FCI to use a permutation algorithm (such as BOSS-Tuck) to do the initial steps of finding adjacencies and unshielded colliders.
class	BfciD	Adjusts FGES-FCI to use a permutation algorithm (such as BOSS-Tuck) to do the initial steps of finding adjacencies and unshielded colliders.
class	BfciScoreCheck	/ Hidden from the interface on 2026-10-21 (no @Algorithm annotation): kept only so that saved sessions
class	BossCcd	BOSS-CCD (Cyclic Causal Discovery with a BOSS adjacency superstructure).
class	BossFci	BOSS-FCI, the former name of BFCI.
class	BossPod	BOSS-POD, removed in Tetrad 8.0.0.
class	Ccd	CCD (Cyclic Causal Discovery)
class	Cfci	CFCI (Conservative FCI).
class	Dm	Algorithm-comparison wrapper for the Murray-Watters/Glymour style Detect-Mimic search, DM.
class	DmFcit	DM-FCIT, removed in Tetrad 8.0.0.
class	DmPc	DM-PC, removed in Tetrad 8.0.0.
class	Fci	The Fast Causal Inference (FCI) algorithm.
class	FciMax	FCI-Max.
class	Fcit	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.
class	FcitMagMarkov	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.
class	FcitMarkov	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.
class	FcitSl	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.
class	FcitSlScoreCheck	FCIT-SL-Score-Check: the FCIT-SL algorithm with a MAG BIC SCORE CHECK applied to every candidate the search adjudicates.
class	FcitZm	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.
class	Gfci	The Fges-FCI class represents the Greedy Fast Causal Inference algorithm, adjusted as in *-FCI.
class	GfciOld	The GFCI class represents the Greedy Fast Causal Inference algorithm, adjusted as in *-FCI.
class	Gmas	GMAS: a latent-variable search that uses no independence tests.
class	GraspFci	GRaSP-FCI, an implentatation of *-FCI using GRaSP.
class	Icd	The Iterative Causal Discovery (ICD) algorithm.
class	IsGfci	IS-GFCI (Instance-Specific GFCI) wrapper for the algcomparison interface.
class	LvHeuristic	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.
class	PagSampleRfci	PAG-Sampling-RFCI, the former name of the class now called PagSamplingRfci.
class	PagSamplingRfci	Jan 29, 2023 3:45:09 PM
class	Rfci	RFCI.
class	RfciBsc	Runs RFCI-BSC, which is RFCI with bootstrap sampling of PAGs.
class	SpFci	Adjusts GFCI to use a permutation algorithm (in this case SP) to do the initial steps of finding adjacencies and unshielded colliders.

Uses of AcceptsKnowledge in edu.cmu.tetrad.algcomparison.algorithm.other

Classes in edu.cmu.tetrad.algcomparison.algorithm.other that implement AcceptsKnowledge

Modifier and Type	Class	Description
class	Rlcd	Wrapper for the RLCD algorithm (Rank-based Latent Causal Discovery; Dong et al., ICLR 2024), which learns a graph over the observed variables and newly introduced latent variables from rank constraints on the covariance matrix.

Uses of AcceptsKnowledge in edu.cmu.tetrad.algcomparison.score

Classes in edu.cmu.tetrad.algcomparison.score that implement AcceptsKnowledge

Modifier and Type	Class	Description
final class	InstanceAugmentedSemBicScoreWrapper	Wrapper for InstanceAugmentedSemBicScore that: - pulls the testing DataSet from Params.TESTING_DATA (injected by the algorithm wrapper), - takes the instance row from Params.INSTANCE_ROW, - aligns columns by training variable names, - uses alpha from Params.IS_ALPHA (default 1.0).
final class	IsBDeuScoreWrapper	Wrapper for ISBDeuScore (discrete).

Uses of AcceptsKnowledge in edu.cmu.tetrad.algcomparison.simulation

Classes in edu.cmu.tetrad.algcomparison.simulation that implement AcceptsKnowledge

Modifier and Type	Class	Description
class	TimeSeriesSemSimulation	Time series SEM simulation.

Uses of AcceptsKnowledge in edu.cmu.tetrad.algcomparison.statistic

Classes in edu.cmu.tetrad.algcomparison.statistic that implement AcceptsKnowledge

Modifier and Type	Class	Description
class	KnowledgeSatisfied	Implementation of the KnowledgeSatisfied class.