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

Packages that use HasParameters

Package	Description
edu.cmu.tetrad.algcomparison.algorithm
edu.cmu.tetrad.algcomparison.algorithm.cluster
edu.cmu.tetrad.algcomparison.algorithm.continuous.dag
edu.cmu.tetrad.algcomparison.algorithm.mixed
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.algcomparison.independence
edu.cmu.tetrad.algcomparison.score
edu.cmu.tetrad.algcomparison.simulation
edu.cmu.tetrad.data.simulation

Uses of HasParameters in edu.cmu.tetrad.algcomparison.algorithm

Subinterfaces of HasParameters in edu.cmu.tetrad.algcomparison.algorithm

Modifier and Type	Interface	Description
interface	Algorithm	Interface that algorithm must implement.
interface	MultiDataSetAlgorithm	Implements an algorithm that takes multiple data sets as input.

Classes in edu.cmu.tetrad.algcomparison.algorithm that implement HasParameters

Modifier and Type	Class	Description
class	AbstractBootstrapAlgorithm	This is a base class for bootstrap algorithms.
class	ExternalAlgorithm	Tags an an algorithm that loads up external graphs for inclusion in reports.
class	FirstInflection	First inflection point.
class	StabilitySelection	Stability selection.
class	StARS	StARS

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

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

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

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

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

Modifier and Type	Class	Description
class	Dagma	Implements the DAGMA algorithm.
class	DirectLingam	Direct LiNGAM.
class	Fask	FASK algorithm.
class	FaskOrig	The FaskOrig class is an implementation of the FASK-Orig algorithm for causal discovery.
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 HasParameters in edu.cmu.tetrad.algcomparison.algorithm.mixed

Classes in edu.cmu.tetrad.algcomparison.algorithm.mixed that implement HasParameters

Modifier and Type	Class	Description
class	Mgm	MGM.

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

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

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 HasParameters in edu.cmu.tetrad.algcomparison.algorithm.oracle.cpdag

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

Modifier and Type	Class	Description
class	Boss	BOSS (Best Order Score Search)
class	BossLingam	BOSS-LiNGAM algorithm.
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	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	PcMb	PC.
class	RestrictedBoss	BOSS-DC (Best Order Score Search Divide and Conquer)
class	SingleGraphAlg	PC.
class	Sp	SP (Sparsest Permutation)

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

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

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	BossDumb	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	BossPag	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	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	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 HasParameters in edu.cmu.tetrad.algcomparison.algorithm.other

Classes in edu.cmu.tetrad.algcomparison.algorithm.other that implement HasParameters

Modifier and Type	Class	Description
class	FactorAnalysis	Factor analysis.
class	Glasso	GLASSO.

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

Classes in edu.cmu.tetrad.algcomparison.algorithm.pairwise that implement HasParameters

Modifier and Type	Class	Description
class	Eb	EB.
class	FaskPw	FASK-PW (pairwise).
class	R1	R1.
class	R2	R2.
class	R3	R3.
class	Rskew	RSkew.
class	RskewE	RSkewE.
class	Skew	Skew.
class	SkewE	SkewE.
class	Tanh	Tanh.

Uses of HasParameters in edu.cmu.tetrad.algcomparison.independence

Subinterfaces of HasParameters in edu.cmu.tetrad.algcomparison.independence

Modifier and Type	Interface	Description
interface	IndependenceWrapper	Interface that algorithm must implement.

Classes in edu.cmu.tetrad.algcomparison.independence that implement HasParameters

Modifier and Type	Class	Description
class	BasisFunctionBicTest
class	BdeuTest	Wrapper for Fisher Z test.
class	CciTest	Wrapper for Daudin Conditional Independence test.
class	ChiSquare	Wrapper for Fisher Z test.
class	ConditionalGaussianLRT	Wrapper for Fisher Z test.
class	DegenerateGaussianLRT	Wrapper for DG LRT.
class	DiscreteBicTest	Wrapper for Fisher Z test.
class	FisherZ	Wrapper for Fisher Z test.
class	GICScoreTests	Represents a class for Generalized Information Criterion Score Tests.
class	GSquare	Wrapper for Fisher Z test.
class	Kci	Wrapper for KCI test.
class	MagSemBicTest	Wrapper for Fisher Z test.
class	Mnlrlrt	Wrapper for Fisher Z test.
class	MSeparationTest	Wrapper for M-separation test.
class	MultinomialLogisticRegressionWald	Wrapper for Fisher Z test.
class	Mvplrt	Wrapper for Fisher Z test.
class	PoissonPriorTest
class	PositiveCorr	Wrapper for Fisher Z test.
class	ProbabilisticTest	Dec 17, 2018 3:44:46 PM
class	SemBicDTest	The SemBicDTest class implements the IndependenceWrapper interface and represents a test for independence based on SEM BIC algorithm.
class	SemBicTest

Uses of HasParameters in edu.cmu.tetrad.algcomparison.score

Subinterfaces of HasParameters in edu.cmu.tetrad.algcomparison.score

Modifier and Type	Interface	Description
interface	ScoreWrapper	Interface that algorithm must implement.

Classes in edu.cmu.tetrad.algcomparison.score that implement HasParameters

Modifier and Type	Class	Description
class	BasisFunctionBicScore	Wrapper for Basis Function BIC Score (Basis-BIC).
class	BdeuScore	Wrapper for Fisher Z test.
class	ConditionalGaussianBicScore	Wrapper for Fisher Z test.
class	DegenerateGaussianBicScore	Wrapper for degenerate Gaussian BIC score
class	DiscreteBicScore	Wrapper for Discrete BIC test.
class	EbicScore	Wrapper for linear, Gaussian Extended BIC score (Chen and Chen).
class	FisherZScore	Wrapper for Fisher Z test.
class	GicScores	The GicScores class is an implementation of the ScoreWrapper interface that calculates the Generalized Information Criterion (GIC) scores for a given data model.
class	MagDgBicScore	Wrapper for degenerate Gaussian BIC score
class	MSeparationScore	Wrapper for Fisher Z test.
class	MVPBicScore	Wrapper for MVP BIC Score.
class	PoissonPriorScore	Wrapper for the Poisson prior score (Bryan)
class	PositiveCorrScore	Wrapper for Fisher Z test.
class	SemBicScore	Wrapper for linear, Gaussian SEM BIC score.
class	SemBicScoreDeterministic	SemBicScoreDeterministic is a class that implements the ScoreWrapper interface.
class	ZhangShenBoundScore	Wrapper for linear, Gaussian Extended BIC score (Chen and Chen).

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

Subinterfaces of HasParameters in edu.cmu.tetrad.algcomparison.simulation

Modifier and Type	Interface	Description
interface	Simulation	The interface that simulations must implement.

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

Modifier and Type	Class	Description
class	BayesNetSimulation	Bayes net simulation.
class	ConditionalGaussianSimulation	A simulation method based on the conditional Gaussian assumption.
class	GeneralSemSimulation	The GeneralSemSimulation class represents a simulation using a generalized structural equation model (SEM).
class	GeneralSemSimulationSpecial1	This was used for a simulation to test the FTFC and FOFC algorithm and contains some carefully selected functions to test nonlinearity and non-Gaussianity.
class	LeeHastieSimulation	A version of the Lee and Hastic simulation which is guaranteed ot generate a discrete data set.
class	LinearFisherModel	Linear Fisher Model.
class	LinearSineSimulation	A simulation method based on the mixed variable polynomial assumption.
class	NLSemSimulation	NL SEM simulation.
class	SemSimulation	This class represents a Simulation using Structural Equation Modeling (SEM).
class	SemThenDiscretize	SEM the discretize.
class	SingleDatasetSimulation	A Simulation implementation that returns a single supplied data set.
class	StandardizedSemSimulation	Standardized SEM simulation.
class	TimeSeriesSemSimulation	Time series SEM simulation.

Uses of HasParameters in edu.cmu.tetrad.data.simulation

Classes in edu.cmu.tetrad.data.simulation that implement HasParameters

Modifier and Type	Class	Description
class	LoadContinuousDataAndGraphs	Load data sets and graphs from a directory.
class	LoadContinuousDataAndSingleGraph	Load data sets and graphs from a directory.
class	LoadContinuousDataSmithSim	Load data sets and graphs from a directory.
class	LoadDataAndGraphs	Load data sets and graphs from a directory.
class	LoadDataFromFileWithoutGraph	Load data sets and graphs from a directory.