Uses of Interface
edu.cmu.tetrad.search.IndependenceTest

Packages that use IndependenceTest

Package	Description
edu.cmu.tetrad.algcomparison.independence
edu.cmu.tetrad.graph
edu.cmu.tetrad.search
edu.cmu.tetrad.search.mb
edu.pitt.csb.mgm

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

Methods in edu.cmu.tetrad.algcomparison.independence that return IndependenceTest

Modifier and Type	Method	Description
IndependenceTest	BDeuTest.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	CciLingamTest.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	CciTest.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	ChiSquare.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	Codec.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	ConditionalGaussianLRT.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	DegenerateGaussianLRT.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	DiscreteBicTest.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	DSeparationTest.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	FisherZ.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	GSquare.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	IndependenceWrapper.getTest(DataModel dataSet, Parameters parameters)	Returns true iff x and y are independent conditional on z for the given data set.
IndependenceTest	Kci.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	KimEtAlScoreTests.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	MagSemBicTest.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	MNLRLRT.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	MultinomialLogisticRegressionWald.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	MVPLRT.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	PositiveCorr.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	ProbabilisticTest.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	SemBicDTest.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	SemBicTest.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	TeyssierTest.getTest(DataModel dataSet, Parameters parameters)

Uses of IndependenceTest in edu.cmu.tetrad.graph

Methods in edu.cmu.tetrad.graph with parameters of type IndependenceTest

Modifier and Type	Method	Description
void	Paths.removeByPossibleDsep(IndependenceTest test, SepsetMap sepsets)	Remove edges by the possible d-separation rule.

Uses of IndependenceTest in edu.cmu.tetrad.search

Classes in edu.cmu.tetrad.search that implement IndependenceTest

Modifier and Type	Class	Description
final class	IndTestChiSquare	Checks the conditional independence X _||_ Y | S, where S is a set of discrete variable, and X and Y are discrete variable not in S, by applying a conditional Chi Square test.
final class	IndTestCodec	Checks conditional independence of variable in a continuous data set using Fisher's Z test.
final class	IndTestConditionalCorrelation	Checks conditional independence of variable in a continuous data set using a conditional correlation test for the nonlinear nonGaussian case.
final class	IndTestConditionalCorrelationLingam	Checks conditional independence of variable in a continuous data set using a conditional correlation test for the nonlinear nonGaussian case.
class	IndTestConditionalGaussianLRT	Performs a test of conditional independence X _||_ Y | Z1...Zn where all searchVariables are either continuous or discrete.
final class	IndTestCramerT	Checks conditional independence for continuous variables using Cramer's T-test formula (Cramer, Mathematical Methods of Statistics (1951), page 413).
class	IndTestDegenerateGaussianLRT
class	IndTestDSep	Checks independence facts for variables associated with the nodes in a given graph by checking d-separation facts on the underlying nodes.
final class	IndTestFisherZ	Checks conditional independence of variable in a continuous data set using Fisher's Z test.
final class	IndTestFisherZConcatenateResiduals	Calculates independence from pooled residuals.
final class	IndTestFisherZFisherPValue	Calculates independence from pooled residuals.
final class	IndTestFisherZGeneralizedInverse	Checks independence of X _||_ Y | Z for variables X and Y and list Z of variables.
final class	IndTestFisherZPercentIndependent	Calculates independence from pooled residuals.
final class	IndTestFisherZRecursive	Checks conditional independence of variable in a continuous data set using Fisher's Z test.
final class	IndTestGSquare	Checks the conditional independence X _||_ Y | S, where S is a set of discrete variable, and X and Y are discrete variable not in S, by applying a conditional G Square test.
final class	IndTestHsic	Checks the conditional independence X _||_ Y | S, where S is a set of continuous variable, and X and Y are discrete variable not in S, using the Hilbert-Schmidth Independence Criterion (HSIC), a kernel based nonparametric test for conditional independence.
final class	IndTestIndependenceFacts	Checks conditional independence against a list of conditional independence facts, manually entered.
class	IndTestMixedMultipleTTest	Performs a test of conditional independence X _||_ Y | Z1...Zn where all searchVariables are either continuous or discrete.
class	IndTestMNLRLRT	Performs a test of conditional independence X _||_ Y | Z1...Zn where all searchVariables are either continuous or discrete.
final class	IndTestMulti	Pools together a set of independence tests using a specified methods
class	IndTestMultinomialLogisticRegression	Performs a test of conditional independence X _||_ Y | Z1...Zn where all searchVariables are either continuous or discrete.
class	IndTestMVPLRT	Performs a test of conditional independence X _||_ Y | Z1...Zn where all searchVariables are either continuous or discrete.
final class	IndTestPositiveCorr	Checks conditional independence of variable in a continuous data set using Fisher's Z test.
class	IndTestProbabilistic	Uses BCInference by Cooper and Bui to calculate probabilistic conditional independence judgments.
final class	IndTestRegression	Checks independence of X _||_ Y | Z for variables X and Y and list Z of variables.
class	IndTestScore	Interface implemented by classes that do conditional independence testing.
class	IndTestSepset	Checks independence facts for variables associated associated with a sepset by simply querying the sepset
final class	IndTestTeyssier	Checks conditional independence of variable in a continuous data set using Fisher's Z test.
final class	IndTestTrekSep	Checks d-separations in structural model using t-separations over indicators.
class	Kci	Kernal Independence Test (KCI).
class	ProbabilisticMAPIndependence	Uses BCInference by Cooper and Bui to calculate probabilistic conditional independence judgments.

Methods in edu.cmu.tetrad.search that return IndependenceTest

Modifier and Type	Method	Description
IndependenceTest	BFci.getIndependenceTest()	The independence test.
IndependenceTest	BuildPureClusters.getIndependenceTest()
IndependenceTest	Cpc.getIndependenceTest()
IndependenceTest	CpcStable.getIndependenceTest()
IndependenceTest	Fas.getIndependenceTest()
IndependenceTest	FasConcurrent.getIndependenceTest()
IndependenceTest	FasDeterministic.getIndependenceTest()
IndependenceTest	FasFdr.getIndependenceTest()
IndependenceTest	FasStableConcurrentFdr.getIndependenceTest()
IndependenceTest	Fasts.getIndependenceTest()
IndependenceTest	Fci.getIndependenceTest()	The independence test.
IndependenceTest	FciMax.getIndependenceTest()	The independence test.
IndependenceTest	GFci.getIndependenceTest()	The independence test.
IndependenceTest	GraspFci.getIndependenceTest()	The independence test.
IndependenceTest	IFas.getIndependenceTest()
IndependenceTest	Kpc.getIndependenceTest()
IndependenceTest	Pc.getIndependenceTest()
IndependenceTest	PcAll.getIndependenceTest()
IndependenceTest	Pcd.getIndependenceTest()
IndependenceTest	PcLocal.getIndependenceTest()
IndependenceTest	PcStable.getIndependenceTest()
IndependenceTest	PcStableMax.getIndependenceTest()
IndependenceTest	Rfci.getIndependenceTest()	The independence test.
IndependenceTest	SampleVcpc.getIndependenceTest()
IndependenceTest	SampleVcpcFast.getIndependenceTest()
IndependenceTest	SepsetsConservative.getIndependenceTest()
IndependenceTest	SpFci.getIndependenceTest()	The independence test.
IndependenceTest	SvarFci.getIndependenceTest()	The independence test.
IndependenceTest	SvarGFci.getIndependenceTest()	The independence test.
IndependenceTest	TimeSeriesLagSearch.getIndependenceTest()
IndependenceTest	Vcpc.getIndependenceTest()
IndependenceTest	VcpcAlt.getIndependenceTest()
IndependenceTest	VcpcFast.getIndependenceTest()
IndependenceTest	BfciFoo.getTest()	The independence test.
IndependenceTest	BfciTr.getTest()	The independence test.
IndependenceTest	Cefs.getTest()
IndependenceTest	PcMb.getTest()
IndependenceTest	TeyssierScorer.getTestObject()
IndependenceTest	TeyssierScorer3.getTestObject()
IndependenceTest	IndependenceTest.indTestSubset(List<Node> vars)
IndependenceTest	IndTestChiSquare.indTestSubset(List<Node> nodes)	Creates a new IndTestChiSquare for a subset of the nodes.
IndependenceTest	IndTestCodec.indTestSubset(List<Node> vars)	Creates a new independence test instance for a subset of the variables.
IndependenceTest	IndTestConditionalCorrelation.indTestSubset(List<Node> vars)	Creates a new IndTestCramerT instance for a subset of the variables.
IndependenceTest	IndTestConditionalCorrelationLingam.indTestSubset(List<Node> vars)	Creates a new IndTestCramerT instance for a subset of the variables.
IndependenceTest	IndTestConditionalGaussianLRT.indTestSubset(List<Node> vars)
IndependenceTest	IndTestCramerT.indTestSubset(List<Node> vars)	Creates a new IndTestCramerT instance for a subset of the variables.
IndependenceTest	IndTestDegenerateGaussianLRT.indTestSubset(List<Node> vars)
IndependenceTest	IndTestDSep.indTestSubset(List<Node> vars)	Required by IndependenceTest.
IndependenceTest	IndTestFisherZ.indTestSubset(List<Node> vars)	Creates a new independence test instance for a subset of the variables.
IndependenceTest	IndTestFisherZConcatenateResiduals.indTestSubset(List<Node> vars)
IndependenceTest	IndTestFisherZFisherPValue.indTestSubset(List<Node> vars)
IndependenceTest	IndTestFisherZGeneralizedInverse.indTestSubset(List<Node> vars)	Creates a new IndTestCramerT instance for a subset of the variables.
IndependenceTest	IndTestFisherZPercentIndependent.indTestSubset(List<Node> vars)
IndependenceTest	IndTestFisherZRecursive.indTestSubset(List<Node> vars)	Creates a new independence test instance for a subset of the variables.
IndependenceTest	IndTestGSquare.indTestSubset(List<Node> vars)	Creates a new IndTestGSquare for a subset of the variables.
IndependenceTest	IndTestHsic.indTestSubset(List<Node> vars)	Creates a new IndTestHsic instance for a subset of the variables.
IndependenceTest	IndTestIndependenceFacts.indTestSubset(List<Node> vars)
IndependenceTest	IndTestMixedMultipleTTest.indTestSubset(List<Node> vars)
IndependenceTest	IndTestMNLRLRT.indTestSubset(List<Node> vars)
IndependenceTest	IndTestMulti.indTestSubset(List<Node> vars)
IndependenceTest	IndTestMultinomialLogisticRegression.indTestSubset(List<Node> vars)
IndependenceTest	IndTestMVPLRT.indTestSubset(List<Node> vars)
IndependenceTest	IndTestPositiveCorr.indTestSubset(List<Node> vars)	Creates a new independence test instance for a subset of the variables.
IndependenceTest	IndTestProbabilistic.indTestSubset(List<Node> vars)
IndependenceTest	IndTestRegression.indTestSubset(List<Node> vars)	Creates a new IndTestCramerT instance for a subset of the variables.
IndependenceTest	IndTestSepset.indTestSubset(List<Node> vars)	Required by IndependenceTest.
IndependenceTest	IndTestTeyssier.indTestSubset(List<Node> vars)	Creates a new independence test instance for a subset of the variables.
IndependenceTest	IndTestTrekSep.indTestSubset(List<Node> vars)	Creates a new independence test instance for a subset of the variables.
IndependenceTest	Kci.indTestSubset(List<Node> vars)	Returns an Independence test for a subset of the variables.
IndependenceTest	ProbabilisticMAPIndependence.indTestSubset(List<Node> vars)

Methods in edu.cmu.tetrad.search with parameters of type IndependenceTest

Modifier and Type	Method	Description
static boolean	SearchGraphUtils.existsLocalSepsetWithout(Node x, Node y, Node z, IndependenceTest test, Graph graph, int depth)
static List<Graph>	MbUtils.generateMbDags(Graph mbCPDAG, boolean orientBidirectedEdges, IndependenceTest test, int depth, Node target)	Generates the list of MB DAGs consistent with the MB CPDAG returned by the previous search.
static SearchGraphUtils.CpcTripleType	SearchGraphUtils.getCpcTripleType(Node x, Node y, Node z, IndependenceTest test, int depth, Graph graph)
Vcpc.CpcTripleType	Vcpc.getPopulationTripleType(Node x, Node y, Node z, IndependenceTest test, int depth, Graph graph, boolean verbose)
VcpcFast.CpcTripleType	VcpcFast.getPopulationTripleType(Node x, Node y, Node z, IndependenceTest test, int depth, Graph graph, boolean verbose)
LinkedList<LinkedList<Cstar.Record>>	Cstar.getRecords(DataSet dataSet, List<Node> possibleCauses, List<Node> possibleEffects, IndependenceTest test)	Returns records for a set of variables with expected number of false positives bounded by q.
LinkedList<LinkedList<Cstar.Record>>	Cstar.getRecords(DataSet dataSet, List<Node> possibleCauses, List<Node> possibleEffects, IndependenceTest test, String path)	Returns records for a set of variables with expected number of false positives bounded by q.
List<Node>	PossibleDsepFci.getSepset(IndependenceTest test, Node node1, Node node2)
List<List<List<Node>>>	SepsetsConservative.getSepsetsLists(Node x, Node y, Node z, IndependenceTest test, int depth, boolean verbose)
static boolean	SearchGraphUtils.meekR1Locally(Graph graph, Knowledge knowledge, IndependenceTest test, int depth)	Orient away from collider.
static void	SearchGraphUtils.orientUsingMeekRulesLocally(Knowledge knowledge, Graph graph, IndependenceTest test, int depth)	Orients using Meek rules, double checking noncolliders locally.
static void	SearchGraphUtils.pcdOrientC(IndependenceTest test, Knowledge knowledge, Graph graph)	Performs step C of the algorithm, as indicated on page xxx of CPS, with the modification that X--W--Y is oriented as X-->W<--Y if W is *determined by* the sepset of (X, Y), rather than W just being *in* the sepset of (X, Y).
void	BFci.setIndependenceTest(IndependenceTest independenceTest)
void	GFci.setIndependenceTest(IndependenceTest independenceTest)
void	GraspFci.setIndependenceTest(IndependenceTest independenceTest)
void	SpFci.setIndependenceTest(IndependenceTest independenceTest)
void	SvarGFci.setIndependenceTest(IndependenceTest independenceTest)
void	BfciFoo.setTest(IndependenceTest test)
void	BfciTr.setTest(IndependenceTest test)
void	LvSwap.setTest(IndependenceTest test)

Method parameters in edu.cmu.tetrad.search with type arguments of type IndependenceTest

Modifier and Type	Method	Description
static boolean	ResolveSepsets.isIndependentPooled(ResolveSepsets.Method method, List<IndependenceTest> independenceTests, Node x, Node y, List<Node> condSet)	Tests for independence using one of the pooled methods
static boolean	ResolveSepsets.isIndependentPooledAverage(List<IndependenceTest> independenceTests, Node x, Node y, List<Node> condSet)	Checks independence from pooled samples by taking the average p value
static boolean	ResolveSepsets.isIndependentPooledAverageTest(List<IndependenceTest> independenceTests, Node x, Node y, List<Node> condSet)	Checks independence from pooled samples by taking the average test statistic CURRENTLY ONLY WORKS FOR CHISQUARE TEST
static boolean	ResolveSepsets.isIndependentPooledFisher(List<IndependenceTest> independenceTests, Node x, Node y, List<Node> condSet)	Checks independence from pooled samples using Fisher's method.
static boolean	ResolveSepsets.isIndependentPooledFisher2(List<IndependenceTest> independenceTests, Node x, Node y, List<Node> condSet)	Eliminates from considerations independence tests that cannot be evaluated (due to missing variables mainly).
static boolean	ResolveSepsets.isIndependentPooledMudholkerGeorge(List<IndependenceTest> independenceTests, Node x, Node y, List<Node> condSet)	Checks independence from pooled samples using Mudholker and George's method
static boolean	ResolveSepsets.isIndependentPooledMudholkerGeorge2(List<IndependenceTest> independenceTests, Node x, Node y, List<Node> condSet)	The same as isIndepenentPooledMudholkerGeoerge, except that only available independence tests are used.
static boolean	ResolveSepsets.isIndependentPooledRandom(List<IndependenceTest> independenceTests, Node x, Node y, List<Node> condSet)	Checks independence from pooled samples by randomly selecting a p value
static boolean	ResolveSepsets.isIndependentPooledStouffer(List<IndependenceTest> independenceTests, Node x, Node y, List<Node> condSet)	Checks independence from pooled samples using Stouffer et al.'s method
static boolean	ResolveSepsets.isIndependentPooledTippett(List<IndependenceTest> independenceTests, Node x, Node y, List<Node> condSet)	Checks independence from pooled samples using Tippett's method
static boolean	ResolveSepsets.isIndependentPooledWilkinson(List<IndependenceTest> independenceTests, Node x, Node y, List<Node> condSet, int r)	Checks independence from pooled samples using Wilkinson's method
static boolean	ResolveSepsets.isIndependentPooledWorsleyFriston(List<IndependenceTest> independenceTests, Node x, Node y, List<Node> condSet)	Checks independence from pooled samples using Worsley and Friston's method

Constructors in edu.cmu.tetrad.search with parameters of type IndependenceTest

Modifier	Constructor	Description
	BFci(IndependenceTest test, Score score)
	BfciFoo(IndependenceTest test, Score score)
	BfciTr(IndependenceTest test, Score score)
	Boss(@NotNull IndependenceTest test, Score score)
	Ccd(IndependenceTest test)
	CcdMax(IndependenceTest test)
	Cefs(IndependenceTest test, int depth)	Constructs a new search.
	Cfci(IndependenceTest independenceTest)	Constructs a new FCI search for the given independence test and background knowledge.
	Cpc(IndependenceTest independenceTest)	Constructs a CPC algorithm that uses the given independence test as oracle.
	CpcOrienter(IndependenceTest independenceTest, Knowledge knowledge)
	CpcStable(IndependenceTest independenceTest)	Constructs a CPC algorithm that uses the given independence test as oracle.
	Fas(IndependenceTest test)	Constructs a new FastAdjacencySearch.
	FasConcurrent(IndependenceTest test)	Constructs a new FastAdjacencySearch.
	FasDci(Graph graph, IndependenceTest independenceTest)	Constructs a new FastAdjacencySearch for DCI.
	FasDci(Graph graph, IndependenceTest independenceTest, ResolveSepsets.Method method, List<Set<Node>> marginalVars, List<IndependenceTest> independenceTests, SepsetMapDci knownIndependencies, SepsetMapDci knownAssociations)	Constructs a new FastAdjacencySearch for DCI with independence test pooling to resolve inconsistencies.
	FasDeterministic(Graph graph, IndependenceTest test)	Constructs a new FastAdjacencySearch.
	FasDeterministic(IndependenceTest test)
	FasFdr(IndependenceTest test, int numIndependenceTests, int numDependenceJudgement)	Constructs a new FastAdjacencySearch.
	Fask(DataSet dataSet, Score score, IndependenceTest test)
	FasStableConcurrentFdr(Graph externalGraph, IndependenceTest test)	Constructs a new FastAdjacencySearch.
	FasStableConcurrentFdr(IndependenceTest test)	Constructs a new FastAdjacencySearch.
	Fasts(Graph graph, IndependenceTest test)	Constructs a new FastAdjacencySearch.
	Fasts(IndependenceTest test)
	Fci(IndependenceTest independenceTest)	Constructs a new FCI search for the given independence test and background knowledge.
	Fci(IndependenceTest independenceTest, List<Node> searchVars)	Constructs a new FCI search for the given independence test and background knowledge and a list of variables to search over.
	FciMax(IndependenceTest independenceTest)	Constructs a new FCI search for the given independence test and background knowledge.
	FciMax(IndependenceTest independenceTest, List<Node> searchVars)	Constructs a new FCI search for the given independence test and background knowledge and a list of variables to search over.
	GFci(IndependenceTest test, Score score)
	Grasp(@NotNull IndependenceTest test)
	Grasp(@NotNull IndependenceTest test, Score score)
	GraspFci(IndependenceTest test, Score score)
	GraspTol(@NotNull IndependenceTest test)
	GraspTol(@NotNull IndependenceTest test, Score score)
	GrowShrink(IndependenceTest test)	Constructs a new search.
	LvSwap(IndependenceTest test, Score score)
	OrientCollidersMaxP(IndependenceTest test)
	OtherPermAlgs(@NotNull IndependenceTest test)
	OtherPermAlgs(@NotNull IndependenceTest test, Score score)
	Pc(IndependenceTest independenceTest)	Constructs a new PC search using the given independence test as oracle.
	PcAll(IndependenceTest independenceTest)	Constructs a CPC algorithm that uses the given independence test as oracle.
	Pcd(IndependenceTest independenceTest)	Constructs a new PC search using the given independence test as oracle.
	PcLocal(IndependenceTest independenceTest)	Constructs a PC Local search with the given independence oracle.
	PcLocal(IndependenceTest independenceTest, Graph graph)
	PcMb(IndependenceTest test, int depth)	Constructs a new search.
	PcStable(IndependenceTest independenceTest)	Constructs a new PC search using the given independence test as oracle.
	PcStableMax(IndependenceTest independenceTest)	Constructs a new PC search using the given independence test as oracle.
	PossibleDsepFci(Graph graph, IndependenceTest test)	Creates a new SepSet and assumes that none of the variables have yet been checked.
	Rfci(IndependenceTest independenceTest)	Constructs a new FCI search for the given independence test and background knowledge.
	Rfci(IndependenceTest independenceTest, List<Node> searchVars)	Constructs a new FCI search for the given independence test and background knowledge and a list of variables to search over.
	SampleVcpc(IndependenceTest independenceTest)	Constructs a CPC algorithm that uses the given independence test as oracle.
	SampleVcpcFast(IndependenceTest independenceTest)	Constructs a CPC algorithm that uses the given independence test as oracle.
	ScoredIndTest(IndependenceTest test)	Constructs the score using a covariance matrix.
	SepsetsConservative(Graph graph, IndependenceTest independenceTest, SepsetMap extraSepsets, int depth)
	SepsetsGreedy(Graph graph, IndependenceTest independenceTest, SepsetMap extraSepsets, int depth)
	SepsetsGreedy2(Graph graph, IndependenceTest independenceTest, TeyssierScorer scorer, SepsetMap extraSepsets, int depth)
	SepsetsPossibleDsep(Graph graph, IndependenceTest test, Knowledge knowledge, int depth, int maxPathLength)
	SepsetsSet(SepsetMap sepsets, IndependenceTest test)
	SP(@NotNull IndependenceTest test)
	SP(@NotNull IndependenceTest test, Score score)
	SpFci(IndependenceTest test, Score score)
	SvarFci(IndependenceTest independenceTest)	Constructs a new FCI search for the given independence test and background knowledge.
	SvarFci(IndependenceTest independenceTest, List<Node> searchVars)	Constructs a new FCI search for the given independence test and background knowledge and a list of variables to search over.
	SvarFciOrient(SepsetProducer sepsets, IndependenceTest independenceTest)	Constructs a new FCI search for the given independence test and background knowledge.
	SvarGFci(IndependenceTest test, Score score)	Constructs a new GFCI search for the given independence test and background knowledge.
	TeyssierScorer(IndependenceTest test, Score score)
	TeyssierScorer3(IndependenceTest test, Score score)
	TimeSeriesLagSearch(IndependenceTest independenceTest)	Constructs a CPC algorithm that uses the given independence test as oracle.
	Vcfas(IndependenceTest test)
	Vcpc(IndependenceTest independenceTest)	Constructs a CPC algorithm that uses the given independence test as oracle.
	VcpcAlt(IndependenceTest independenceTest)	Constructs a CPC algorithm that uses the given independence test as oracle.
	VcpcFast(IndependenceTest independenceTest)	Constructs a CPC algorithm that uses the given independence test as oracle.

Constructor parameters in edu.cmu.tetrad.search with type arguments of type IndependenceTest

Modifier	Constructor	Description
	Dci(List<IndependenceTest> tests)
	Dci(List<IndependenceTest> tests, ResolveSepsets.Method method)
	IndTestMulti(List<IndependenceTest> independenceTests, ResolveSepsets.Method method)

Uses of IndependenceTest in edu.cmu.tetrad.search.mb

Methods in edu.cmu.tetrad.search.mb that return IndependenceTest

Modifier and Type	Method	Description
IndependenceTest	Mmhc.getIndependenceTest()

Constructors in edu.cmu.tetrad.search.mb with parameters of type IndependenceTest

Modifier	Constructor	Description
	Iamb(IndependenceTest test)	Constructs a new search.
	IambnPc(IndependenceTest test)	Constructs a new search.
	InterIamb(IndependenceTest test)	Constructs a new search.
	Mmhc(IndependenceTest test, DataSet dataSet)
	Mmmb(IndependenceTest test, int depth, boolean symmetric)	Constructs.

Uses of IndependenceTest in edu.pitt.csb.mgm

Classes in edu.pitt.csb.mgm that implement IndependenceTest

Modifier and Type	Class	Description
class	IndTestMultinomialLogisticRegressionWald	Performs a test of conditional independence X _||_ Y | Z1...Zn where all searchVariables are either continuous or discrete.

Methods in edu.pitt.csb.mgm that return IndependenceTest

Modifier and Type	Method	Description
static IndependenceTest	MixedUtils.IndTestFromString(String name, DataSet data, double alpha)	Returns independence tests by name located in edu.cmu.tetrad.search and edu.pitt.csb.mgm also supports shorthand for LRT ("lrt) and t-tests ("tlin" for prefer linear (fastest) or "tlog" for prefer logistic)
IndependenceTest	IndTestMultinomialLogisticRegressionWald.indTestSubset(List<Node> vars)