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

Packages that use TakesIndependenceWrapper

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

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

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

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

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

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

Modifier and Type	Class	Description
class	FaskConcatenated	Wraps the IMaGES 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.

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

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

Modifier and Type	Class	Description
class	Cpc	Conservative PC (CPC).
class	Cstar	Cstar class.
class	Fas	Fast Adjacency Search (FAS)--i.e., the PC adjacency step, which is used in many algorithms.
class	Grasp	GRaSP (Greedy Relaxations of Sparsest Permutation)
class	Pc	Peter/Clark algorithm (PC).
class	PcMb	PC.

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

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

Modifier and Type	Class	Description
class	Bfci	Adjusts GFCI 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	Fci	The Fast Causal Inference (FCI) algorithm.
class	FciMax	FCI-Max algorithm.
class	Gfci	The Gfci class represents the Greedy Fast Causal Inference algorithm.
class	GraspFci	Adjusts GFCI to use a permutation algorithm (such as BOSS-Tuck) to do the initial steps of finding adjacencies and unshielded colliders.
class	LvLite	This class represents the LV-Lite algorithm, which is an implementation of the GFCI algorithm for learning causal structures from observational data using the BOSS algorithm as an initial CPDAG and using all score-based steps afterward.
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.