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

Packages that use TakesCovarianceMatrix

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

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	Cdnod	CD-NOD wrapper for algcomparison.
class	Cpc	Deprecated.
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	Gin	GIN (Generalized Independent Noise Search)
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	Pcd	PC.
class	PcMax	Deprecated.
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	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	BossPod	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	Ccd	CCD (Cyclic Causal Discovery)
class	Cfci	Deprecated.
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	FciCyclicPw	FCI-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).
class	FciMax	Deprecated.
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	IsGfci	IS-GFCI (Instance-Specific GFCI) wrapper for the algcomparison interface.
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.