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

Packages that use HasKnowledge

Package	Description
edu.cmu.tetrad.algcomparison.algorithm.cluster
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.simulation
edu.cmu.tetrad.algcomparison.statistic

Uses of HasKnowledge in edu.cmu.tetrad.algcomparison.algorithm.cluster

Classes in edu.cmu.tetrad.algcomparison.algorithm.cluster that implement HasKnowledge

Modifier and Type	Class	Description
class	Fofc	Find One Factor Clusters.
class	Ftfc	FTFC.

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

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

Modifier and Type	Class	Description
class	Fask	FASK algorithm.
class	FaskOrig	The FaskOrig class is an implementation of the FASK-Orig algorithm for causal discovery.

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

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

Modifier and Type	Class	Description
class	FaskConcatenated	Wraps the IMaGES algorithm for continuous variables.
class	FaskLofsConcatenated	Wraps the IMaGES algorithm for continuous variables.
class	FaskVote	Wraps the MultiFask algorithm for continuous variables.
class	FasLofs	Wraps the IMaGES 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.

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

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

Modifier and Type	Class	Description
class	Boss	BOSS (Best Order Score Search)
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	FgesMeasurement	FGES (the heuristic version).
class	Grasp	GRaSP (Greedy Relaxations of Sparsest Permutation)
class	Pc	Peter/Clark algorithm (PC).
class	Pcd	PC.
class	PcMax	PC-Max.
class	PcMb	PC.
class	SingleGraphAlg	PC.
class	Sp	SP (Sparsest Permutation)

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

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

Modifier and Type	Class	Description
class	BossDot	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	BossFci	Adjusts FGES-FCI to use a permutation algorithm (such as BOSS-Tuck) to do the initial steps of finding adjacencies and unshielded colliders.
class	Cfci	Conservative FCI.
class	DmFcit	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.
class	DmFciT2	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.
class	DmPc	Detect-Mimic-PC (DM-PC) algorithm.
class	Fci	The Fast Causal Inference (FCI) algorithm.
class	FciMax	FCI-Max algorithm.
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	FgesFci	The Fges-FCI class represents the Greedy Fast Causal Inference algorithm, adjusted as in *-FCI.
class	Gfci	The GFCI class represents the Greedy Fast Causal Inference algorithm, adjusted as in *-FCI.
class	GraspFci	GRaSP-FCI, an implentatation of *-FCI using GRaSP.
class	PagSampleRfci	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.
class	SvarFci	The SvarFci class is an implementation of the SVAR Fast Causal Inference algorithm.
class	SvarGfci	SvarGfci class is an implementation of the SVAR GFCI algorithm.

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

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

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

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

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

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