Uses of Interface
edu.cmu.tetrad.algcomparison.algorithm.TakesCovarianceMatrix

Packages that use TakesCovarianceMatrix

Package	Description
edu.cmu.tetrad.algcomparison.algorithm.cluster
edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag
edu.cmu.tetrad.algcomparison.algorithm.oracle.pag

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

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

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

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

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

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	Grasp	GRaSP (Greedy Relaxations of Sparsest Permutation)
class	Pc	Peter/Clark algorithm (PC).
class	Pcd	PC.
class	PcMax	PC-Max.
class	PcMb	PC.
class	Sp	SP (Sparsest Permutation)

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

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

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	Ccd	CCD (Cyclic Causal Discovery)
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	Rfci	RFCI.
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.