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	Contains classes for searching for (mostly structural) causal models given data.
edu.cmu.tetrad.search.score	Contains classes for various various sorts of scores for running score-based algorithms.
edu.cmu.tetrad.search.test	Contains classes for running conditional independence tests for various sorts of data.
edu.cmu.tetrad.search.utils	Contains some utility classes for search algorithms.
edu.cmu.tetrad.search.work_in_progress	Contains some classes that aren't ready for prime time.
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)	Returns the test.
IndependenceTest	CciTest.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	ChiSquare.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	FisherZ.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	GICScoreTests.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	MagSemBicTest.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	Mnlrlrt.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	MSeparationTest.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	MultinomialLogisticRegressionWald.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	Mvplrt.getTest(DataModel dataSet, Parameters parameters)
IndependenceTest	PoissonScoreTest.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	UniformScatterTest.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.removeByPossibleMsep(IndependenceTest test, SepsetMap sepsets)	Remove edges by the possible m-separation rule.

Uses of IndependenceTest in edu.cmu.tetrad.search

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

Modifier and Type	Class	Description
class	IndTestIod	Checks independence result by listing all tests with those variables, testing each one, and returning the resolution of these test results.

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

Modifier and Type	Method	Description
IndependenceTest	BFci.getIndependenceTest()	The independence test being used for some steps in final orientation.
IndependenceTest	Cpc.getIndependenceTest()	Rreturn the independence test used in the search, set in the constructor.
IndependenceTest	Fci.getIndependenceTest()	Returns the independence test used in search.
IndependenceTest	FciMax.getIndependenceTest()	Returns the independence test used in search.
IndependenceTest	GFci.getIndependenceTest()	Returns the independence test used in search.
IndependenceTest	MarkovCheck.getIndependenceTest()	Returns the independence test being used.
IndependenceTest	Pc.getIndependenceTest()	Returns the independence test being used in the search.
IndependenceTest	Pcd.getIndependenceTest()
IndependenceTest	Rfci.getIndependenceTest()	Returns the independence test.
IndependenceTest	SpFci.getIndependenceTest()	Returns the independence test used in search.
IndependenceTest	SvarFci.getIndependenceTest()	Returns independence test.
IndependenceTest	PcMb.getTest()	Returns the test used in search.
default IndependenceTest	IndependenceTest.indTestSubset(List<Node> vars)	Returns an Independence test for a sublist of the variables.
IndependenceTest	IndTestIod.indTestSubset(List<Node> vars)

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

Modifier	Constructor	Description
	BFci(IndependenceTest test, Score score)	Constructor.
	Ccd(IndependenceTest test)	Construct a CCD algorithm with the given independence test.
	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.
	Fas(IndependenceTest test)	Constructor.
	Fasd(IndependenceTest test)	Constructs a new FastAdjacencySearch.
	Fask(DataSet dataSet, Score score, IndependenceTest test)	Constructor.
	Fci(IndependenceTest independenceTest)	Constructor.
	Fci(IndependenceTest independenceTest, List<Node> searchVars)	Constructor.
	FciMax(IndependenceTest independenceTest)	Constructor.
	GFci(IndependenceTest test, Score score)	Constructs a new GFci algorithm with the given independence test and score.
	Grasp(@NotNull IndependenceTest test)	Constructor for a test.
	Grasp(@NotNull IndependenceTest test, Score score)	Constructor that takes both a test and a score; only one is used-- the parameter setting will decide which.
	GraspFci(IndependenceTest test, Score score)
	GrowShrink(IndependenceTest test)	Constructs a new search.
	MarkovCheck(Graph graph, IndependenceTest independenceTest, MarkovCheck.ConditioningSetType setType)	Constructor.
	Pc(IndependenceTest independenceTest)	Constructs a new PC search using the given independence test as oracle.
	Pcd(IndependenceTest independenceTest)	Constructs a new PC search using the given independence test as oracle.
	PcMb(IndependenceTest test, int depth)	Constructs a new search.
	Rfci(IndependenceTest independenceTest)	Constructs a new RFCI search for the given independence test and background knowledge.
	Rfci(IndependenceTest independenceTest, List<Node> searchVars)	Constructs a new RFCI search for the given independence test and background knowledge and a list of variables to search over.
	SpFci(IndependenceTest test, Score score)	Constructor; requires by ta test and a score, over the same variables.
	SvarFas(IndependenceTest test)	Constructs a new FastAdjacencySearch.
	SvarFci(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.

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

Modifier	Constructor	Description
	IndTestIod(List<IndependenceTest> tests)	Constructs a new pooled independence test from the given list of independence tests.

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

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

Modifier	Constructor	Description
	IndTestScore(IndependenceTest test)	Constructs the score using a covariance matrix.

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

Classes in edu.cmu.tetrad.search.test 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	IndTestConditionalCorrelation	Checks conditional independence of variable in a continuous data set using a conditional correlation test for the nonlinear nonGaussian with the additive error case.
class	IndTestConditionalGaussianLrt	Performs a test of conditional independence X _||_ Y | Z1...Zn where all searchVariables are either continuous or discrete.
class	IndTestDegenerateGaussianLrt	Implements a degenerate Gaussian score as a LRT.
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 using the Fisher Z method.
final class	IndTestFisherZFisherPValue	Calculates independence from multiple datasets from using the Fisher method of pooling independence results.
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.
final class	IndTestMulti	Pools together a set of independence tests using a specified method.
class	IndTestMvpLrt	Performs a test of conditional independence X _||_ Y | Z1...Zn where all variables are either continuous or discrete.
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 by regressing X on {Y} U Z and testing whether the coefficient for Y is zero.
final class	IndTestTrekSep	Checks d-separations in structural model using t-separations over indicators.
class	Kci	Gives an implementation of the Kernal Independence Test (KCI) by Kun Zhang, which is a general test of conditional independence.
class	MsepTest	Checks independence facts for variables associated with the nodes in a given graph by checking m-separation facts on the underlying nodes.
class	ScoreIndTest	Gives a way of interpreting a score as an independence test.

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

Modifier and Type	Method	Description
IndependenceTest	IndTestChiSquare.indTestSubset(List<Node> nodes)	Creates a new IndTestChiSquare for a subset of the nodes.
IndependenceTest	IndTestConditionalCorrelation.indTestSubset(List<Node> vars)
IndependenceTest	IndTestConditionalGaussianLrt.indTestSubset(List<Node> vars)
IndependenceTest	IndTestDegenerateGaussianLrt.indTestSubset(List<Node> vars)
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	IndTestGSquare.indTestSubset(List<Node> vars)	Creates a new IndTestGSquare for a sublist 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	IndTestMulti.indTestSubset(List<Node> vars)
IndependenceTest	IndTestMvpLrt.indTestSubset(List<Node> vars)	Returns an independence test for a sublist of the searchVariables.
IndependenceTest	IndTestProbabilistic.indTestSubset(List<Node> vars)
IndependenceTest	IndTestRegression.indTestSubset(List<Node> vars)	Creates a new IndTestCramerT instance for a subset of the variables.
IndependenceTest	IndTestTrekSep.indTestSubset(List<Node> vars)	Creates a new independence test instance for a sublist of the variables.
IndependenceTest	Kci.indTestSubset(List<Node> vars)
IndependenceTest	MsepTest.indTestSubset(List<Node> vars)	Returns a test over a subset of the variables.

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

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

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

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

Modifier and Type	Method	Description
IndependenceTest	PcCommon.getIndependenceTest()
IndependenceTest	SepsetsConservative.getIndependenceTest()

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

Modifier and Type	Method	Description
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 GraphSearchUtils.CpcTripleType	GraphSearchUtils.getCpcTripleType(Node x, Node y, Node z, IndependenceTest test, int depth, Graph graph)
Set<Node>	PossibleMsepFci.getSepset(IndependenceTest test, Node node1, Node node2)
List<List<Set<Node>>>	SepsetsConservative.getSepsetsLists(Node x, Node y, Node z, IndependenceTest test, int depth, boolean verbose)
static void	GraphSearchUtils.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).

Method parameters in edu.cmu.tetrad.search.utils 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, Set<Node> condSet)	Tests for independence using one of the pooled methods
static boolean	ResolveSepsets.isIndependentPooledAverage(List<IndependenceTest> independenceTests, Node x, Node y, Set<Node> condSet)	Checks independence from pooled samples by taking the average p value
static boolean	ResolveSepsets.isIndependentPooledAverageTest(List<IndependenceTest> independenceTests, Node x, Node y, Set<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, Set<Node> condSet)	Checks independence from pooled samples using Fisher's method.
static boolean	ResolveSepsets.isIndependentPooledFisher2(List<IndependenceTest> independenceTests, Node x, Node y, Set<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, Set<Node> condSet)	Checks independence from pooled samples using Mudholker and George's method
static boolean	ResolveSepsets.isIndependentPooledMudholkerGeorge2(List<IndependenceTest> independenceTests, Node x, Node y, Set<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, Set<Node> condSet)	Checks independence from pooled samples by randomly selecting a p value
static boolean	ResolveSepsets.isIndependentPooledStouffer(List<IndependenceTest> independenceTests, Node x, Node y, Set<Node> condSet)	Checks independence from pooled samples using Stouffer et al.'s method
static boolean	ResolveSepsets.isIndependentPooledTippett(List<IndependenceTest> independenceTests, Node x, Node y, Set<Node> condSet)	Checks independence from pooled samples using Tippett's method
static boolean	ResolveSepsets.isIndependentPooledWilkinson(List<IndependenceTest> independenceTests, Node x, Node y, Set<Node> condSet, int r)	Checks independence from pooled samples using Wilkinson's method
static boolean	ResolveSepsets.isIndependentPooledWorsleyFriston(List<IndependenceTest> independenceTests, Node x, Node y, Set<Node> condSet)	Checks independence from pooled samples using Worsley and Friston's method

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

Modifier	Constructor	Description
	MaxP(IndependenceTest test)	Constructor.
	PcCommon(IndependenceTest independenceTest)	Constructs a CPC algorithm that uses the given independence test as oracle.
	PossibleMsepFci(Graph graph, IndependenceTest test)	Creates a new SepSet and assumes that none of the variables have yet been checked.
	SepsetsConservative(Graph graph, IndependenceTest independenceTest, SepsetMap extraSepsets, int depth)
	SepsetsGreedy(Graph graph, IndependenceTest independenceTest, SepsetMap extraSepsets, int depth, Knowledge knowledge)
	SepsetsPossibleMsep(Graph graph, IndependenceTest test, Knowledge knowledge, int depth, int maxPathLength)
	SepsetsSet(SepsetMap sepsets, IndependenceTest test)
	SvarFciOrient(SepsetProducer sepsets, IndependenceTest independenceTest)	Constructs a new FCI search for the given independence test and background knowledge.
	TeyssierScorer(IndependenceTest test, Score score)	Constructor that takes both a test or a score.

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

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

Modifier and Type	Class	Description
final class	IndTestCramerT	Checks conditional independence for continuous variables using Cramer's T-test formula (Cramer, Mathematical Methods of Statistics (1951), page 413).
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.
class	IndTestMixedMultipleTTest	Performs a test of conditional independence X _||_ Y | Z1...Zn where all searchVariables are either continuous or discrete.
class	IndTestMnlrLr	Performs a test of conditional independence X _||_ Y | Z1...Zn where all searchVariables are either continuous or discrete.
class	IndTestMultinomialLogisticRegression	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	IndTestSepsetDci	Checks independence facts for variables associated with a sepset by simply querying the sepset
final class	IndTestUniformScatter
class	ProbabilisticMapIndependence	Uses BCInference by Cooper and Bui to calculate probabilistic conditional independence judgments.

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

Modifier and Type	Method	Description
IndependenceTest	Kpc.getIndependenceTest()
IndependenceTest	Mmhc.getIndependenceTest()
IndependenceTest	SampleVcpc.getIndependenceTest()
IndependenceTest	SampleVcpcFast.getIndependenceTest()
IndependenceTest	VcPc.getIndependenceTest()
IndependenceTest	VcPcAlt.getIndependenceTest()
IndependenceTest	VcPcFast.getIndependenceTest()
IndependenceTest	IndTestCramerT.indTestSubset(List<Node> vars)	Creates a new IndTestCramerT instance for a subset of the variables.
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	IndTestMixedMultipleTTest.indTestSubset(List<Node> vars)
IndependenceTest	IndTestMnlrLr.indTestSubset(List<Node> vars)
IndependenceTest	IndTestMultinomialLogisticRegression.indTestSubset(List<Node> vars)
IndependenceTest	IndTestPositiveCorr.indTestSubset(List<Node> vars)	Creates a new independence test instance for a subset of the variables.
IndependenceTest	IndTestSepsetDci.indTestSubset(List<Node> vars)	Required by IndependenceTest.
IndependenceTest	ProbabilisticMapIndependence.indTestSubset(List<Node> vars)

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

Modifier and Type	Method	Description
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)

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

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

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

Modifier	Constructor	Description
	Fas2(Graph initialGraph, IndependenceTest test)	Constructs a new FastAdjacencySearch.
	Fas2(IndependenceTest test)
	Fas3(IndependenceTest test)	Constructor.
	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.
	FasFdr(IndependenceTest test, int numIndependenceTests)	Constructs a new FastAdjacencySearch.
	GraspTol(@NotNull IndependenceTest test)
	GraspTol(@NotNull IndependenceTest test, Score score)
	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.
	OtherPermAlgs(@NotNull IndependenceTest test)
	OtherPermAlgs(@NotNull IndependenceTest test, Score score)
	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.
	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.work_in_progress with type arguments of type IndependenceTest

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

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)