Uses of Annotation Interface
edu.cmu.tetrad.annotation.Algorithm

Packages that use Algorithm

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.algorithm.pairwise
edu.cmu.tetrad.annotation

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

Classes in edu.cmu.tetrad.algcomparison.algorithm.continuous.dag with annotations of type Algorithm

Modifier and Type	Class	Description
class	Dagma	Implements the DAGMA algorithm.
class	DirectLingam	Direct LiNGAM.
class	Fask	FASK algorithm.
class	IcaLingam	IcaLingam class implements the Algorithm and ReturnsBootstrapGraphs interface.
class	IcaLingD	IcaLingD is an implementation of the Algorithm interface that performs the ICA-LiNG-D algorithm for discovering causal models for the linear non-Gaussian case where the underlying model might be cyclic.

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

Classes in edu.cmu.tetrad.algcomparison.algorithm.multi with annotations of type Algorithm

Modifier and Type	Class	Description
class	FaskVote	Wraps the MultiFask algorithm for continuous variables.
class	FciIod	Runs FCI on multiple datasets using the IOD pooled dataset independence test.
class	Images	Wraps the IMaGES algorithm for continuous variables.
class	ImagesBoss	Wraps the IMaGES algorithm for continuous variables.

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

Classes in edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag with annotations of type Algorithm

Modifier and Type	Class	Description
class	Boss	BOSS (Best Order Score Search)
class	Cam	Represents the CAM algorithm, which is a causal additive model search algorithm.
class	Cdnod	CD-NOD wrapper for algcomparison.
class	Cpc	Deprecated.
class	Cstar	Cstar class.
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	PcMax	Deprecated.
class	PcMb	PC.
class	Pcmci	PCMCI wrapper for algcomparison.
class	Sp	SP (Sparsest Permutation)
class	TwoStep	Deprecated.

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

Classes in edu.cmu.tetrad.algcomparison.algorithm.oracle.pag with annotations of type Algorithm

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	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	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	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.

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

Classes in edu.cmu.tetrad.algcomparison.algorithm.other with annotations of type Algorithm

Modifier and Type	Class	Description
class	MimbuildBollen	Mimbuild Bollen.
class	MimbuildPca	Mimbuild PCA.

Uses of Algorithm in edu.cmu.tetrad.algcomparison.algorithm.pairwise

Classes in edu.cmu.tetrad.algcomparison.algorithm.pairwise with annotations of type Algorithm

Modifier and Type	Class	Description
class	FaskPw	FASK-PW (pairwise).
class	R3	R3.
class	Rskew	RSkew.
class	Skew	Skew.

Uses of Algorithm in edu.cmu.tetrad.annotation

Methods in edu.cmu.tetrad.annotation that return types with arguments of type Algorithm

Modifier and Type	Method	Description
List<AnnotatedClass<Algorithm>>	AlgorithmAnnotations.filterOutDeprecated(List<AnnotatedClass<Algorithm>> list)	Filters out classes annotated with the Deprecated annotation from the provided list.
List<AnnotatedClass<Algorithm>>	AlgorithmAnnotations.filterOutExperimental(List<AnnotatedClass<Algorithm>> list)	Filters out algorithms that are not for the given data type.

Method parameters in edu.cmu.tetrad.annotation with type arguments of type Algorithm

Modifier and Type	Method	Description
List<AnnotatedClass<Algorithm>>	AlgorithmAnnotations.filterOutDeprecated(List<AnnotatedClass<Algorithm>> list)	Filters out classes annotated with the Deprecated annotation from the provided list.
List<AnnotatedClass<Algorithm>>	AlgorithmAnnotations.filterOutExperimental(List<AnnotatedClass<Algorithm>> list)	Filters out algorithms that are not for the given data type.