Uses of Class
edu.cmu.tetrad.search.test.IndependenceResult

Packages that use IndependenceResult

Package	Description
edu.cmu.tetrad.search	This package contains classes for causal graph search algorithms.
edu.cmu.tetrad.search.test	This package contains classes for testing causal graph search algorithms.
edu.cmu.tetrad.search.work_in_progress	A package for algorithms that are not ready for prime time.
edu.pitt.csb.mgm

Uses of IndependenceResult in edu.cmu.tetrad.search

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

Modifier and Type	Method	Description
IndependenceResult	IndTestIod.checkIndependence(Node x, Node y, Set<Node> z)	Checks the independence between two nodes given a set of nodes.

Methods in edu.cmu.tetrad.search that return types with arguments of type IndependenceResult

Modifier and Type	Method	Description
List<IndependenceResult>	MarkovCheck.getResults(boolean indep)	After the generateResults method has been called, this method returns the results for the Markov or dependency check, depending on the value of the indep parameter.

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

Modifier and Type	Method	Description
double	MarkovCheck.getAndersonDarlingA2(List<IndependenceResult> visiblePairs)	Calculates the Anderson-Darling A2 value for a list of independence results.
double	MarkovCheck.getAndersonDarlingPValue(List<IndependenceResult> visiblePairs)	Calculates the Anderson-Darling p-value for a given list of independence results.
double	MarkovCheck.getBinomialPValue(List<IndependenceResult> visiblePairs)	Calculates the binomial p-value based on the list of visible pairs.
double	MarkovCheck.getFisherCombinedPValue(List<IndependenceResult> visiblePairs)	Calculates the combined p-value using Fisher's method for a given list of independence test results.
double	MarkovCheck.getFractionDependent(List<IndependenceResult> results)	Calculates the fraction of dependent results.
double	MarkovCheck.getKsPValue(List<IndependenceResult> visiblePairs)	Calculates the Kolmogorov-Smirnov (KS) p-value for a list of independence test results.
List<Double>	MarkovCheck.getPValues(List<IndependenceResult> results)	Returns the list of p-values for the given list of results.

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

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

Modifier and Type	Method	Description
IndependenceResult	CachingIndependenceTest.checkIndependence(Node x, Node y, Set<Node> z)	Evaluates the conditional independence between two nodes given a condition set of nodes.
default IndependenceResult	IndependenceTest.checkIndependence(Node x, Node y, Node... z)	Checks the independence fact in question and returns and independence result.
IndependenceResult	IndependenceTest.checkIndependence(Node x, Node y, Set<Node> z)	Checks the independence between two variables x and y given a conditioning set z.
IndependenceResult	IndTestBasisFunctionBlocks.checkIndependence(Node x, Node y, Set<Node> z)	Checks for statistical independence between two given variables (nodes), conditioned on a set of other variables.
IndependenceResult	IndTestBasisFunctionLrt.checkIndependence(Node x, Node y, Set<Node> z)	Deprecated. Tests for the conditional independence of two nodes given a set of conditioning nodes.
IndependenceResult	IndTestBasisFunctionLrtFullSample.checkIndependence(Node x, Node y, Set<Node> z)	Deprecated. Tests for the conditional independence of two nodes, x and y, given a set of conditioning nodes z.
IndependenceResult	IndTestBlocksLemma10.checkIndependence(Node x, Node y, Set<Node> z)	Deprecated.
IndependenceResult	IndTestBlocksTs.checkIndependence(Node x, Node y, Set<Node> z)	Evaluates whether two nodes (variables) are independent given a set of conditioning nodes using a block-based conditional independence test.
IndependenceResult	IndTestBlocksWilkes.checkIndependence(Node x, Node y, Set<Node> z)
IndependenceResult	IndTestChiSquare.checkIndependence(Node x, Node y, Set<Node> _z)	Determines whether variable x is independent of variable y given a list of conditioning varNames z.
IndependenceResult	IndTestConditionalCorrelation.checkIndependence(Node x, Node y, Set<Node> z)	Checks the independence of x _||_ y | z
IndependenceResult	IndTestConditionalGaussianLrt.checkIndependence(Node x, Node y, Set<Node> _z)	Returns and independence result that states whether x _||_y | z and what the p-value of the test is.
IndependenceResult	IndTestDegenerateGaussianLrt.checkIndependence(Node x, Node y, Set<Node> z)	Tests for the conditional independence of two nodes given a set of conditioning nodes.
IndependenceResult	IndTestDegenerateGaussianLrtFullSample.checkIndependence(Node x, Node y, Set<Node> z)	Deprecated. Tests for the conditional independence of two nodes, x and y, given a set of conditioning nodes z.
IndependenceResult	IndTestFdrWrapper.checkIndependence(Node x, Node y, Set<Node> z)	Checks the independence of two nodes given a conditioning set of nodes.
IndependenceResult	IndTestFisherZ.checkIndependence(Node x, Node y, Set<Node> z)	Checks the independence of two nodes given a conditioning set and returns the result.
IndependenceResult	IndTestFisherZConcatenateResiduals.checkIndependence(Node x, Node y, Set<Node> _z)	Deprecated. Determines whether x _||_ y | z.
IndependenceResult	IndTestFisherZFisherPValue.checkIndependence(Node x, Node y, Set<Node> _z)	Checks for independence between two nodes given a set of conditioning nodes.
IndependenceResult	IndTestGin.checkIndependence(Node x, Node y, Set<Node> cond)	Checks the independence of two given nodes, conditioned on a set of other nodes.
IndependenceResult	IndTestGSquare.checkIndependence(Node x, Node y, Set<Node> _z)	Determines whether variable x is independent of variable y given a list of conditioning varNames z.
IndependenceResult	IndTestHsic.checkIndependence(Node y, Node x, Set<Node> _z)	Deprecated. Determines whether variable x is independent of variable y given a list of conditioning variables z.
IndependenceResult	IndTestIndependenceFacts.checkIndependence(Node x, Node y, Set<Node> __z)	Checks independence by looking up facts in the list of facts supplied in the constructor.
IndependenceResult	IndTestMulti.checkIndependence(Node x, Node y, Set<Node> z)	Determines whether variable x is independent of variable y given a list of conditioning variables z.
IndependenceResult	IndTestMvpLrt.checkIndependence(Node x, Node y, Set<Node> _z)	Determines whether two nodes are independent given a set of conditioning nodes.
IndependenceResult	IndTestProbabilistic.checkIndependence(Node x, Node y, Node... z)	Checks the independence fact in question and returns and independence result.
IndependenceResult	IndTestProbabilistic.checkIndependence(Node x, Node y, Set<Node> _z)	Checks the independence between two variables x and y given a conditioning set z.
IndependenceResult	IndTestRcit.checkIndependence(Node x, Node y, Set<Node> z)	Evaluates the independence between two nodes x and y given a set of conditioning nodes z.
IndependenceResult	IndTestRegression.checkIndependence(Node xVar, Node yVar, Set<Node> zList)	Deprecated. Checks the independence between two variables, given a set of conditioning variables.
IndependenceResult	IndTestTrekSep.checkIndependence(Node x, Node y, Set<Node> z)	Deprecated. Determines independence between variables x and y, given the set of variables z.
IndependenceResult	Kci.checkIndependence(Node x, Node y, Set<Node> z)	Tests the conditional independence of two given variables (x and y) with respect to a set of conditioning variables (z) using the KCI (Kernel-based Conditional Independence) method.
IndependenceResult	MsepTest.checkIndependence(Node x, Node y, Set<Node> z)	Checks the independence between two nodes with respect to a set of conditioning nodes.
IndependenceResult	ScoreIndTest.checkIndependence(Node x, Node y, Set<Node> z)	Checks the independence between two nodes given a set of additional nodes.
static IndependenceResult	IndependenceResult.serializableInstance()	Generates a simple exemplar of this class to test serialization.

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

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

Modifier and Type	Method	Description
IndependenceResult	IndTestCramerT.checkIndependence(Node x, Node y, Set<Node> _z)	Deprecated. Checks the independence between two nodes given a set of conditioning nodes.
IndependenceResult	IndTestFisherZPercentIndependent.checkIndependence(Node x, Node y, Set<Node> _z)	Deprecated. Checks the independence between two nodes x and y given a set of conditioning nodes z.
IndependenceResult	IndTestFisherZRecursive.checkIndependence(Node x, Node y, Set<Node> z)	Deprecated. Checks the independence between two variables x and y given a conditioning set z.
IndependenceResult	IndTestMixedMultipleTTest.checkIndependence(Node x, Node y, Set<Node> z)	Deprecated. Checks for independence between two nodes.
IndependenceResult	IndTestMultinomialLogisticRegression.checkIndependence(Node x, Node y, Set<Node> z)	Checks for independence between two nodes, given a set of conditioning nodes.
IndependenceResult	IndTestPositiveCorr.checkIndependence(Node x0, Node y0, Set<Node> _z0)	Deprecated. Checks the independence between two nodes, given a set of conditioning nodes.
IndependenceResult	IndTestSepsetDci.checkIndependence(Node x, Node y, Set<Node> z)	Checks the independence between two nodes, given a set of conditioning nodes.
IndependenceResult	ProbabilisticMapIndependence.checkIndependence(Node x, Node y, Node... z)	Checks the independence fact in question and returns and independence result.
IndependenceResult	ProbabilisticMapIndependence.checkIndependence(Node x, Node y, Set<Node> _z)	Checks the independence between two variables x and y given a conditioning set z.

Uses of IndependenceResult in edu.pitt.csb.mgm

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

Modifier and Type	Method	Description
IndependenceResult	IndTestMultinomialLogisticRegressionWald.checkIndependence(Node x, Node y, Set<Node> z)	Determines the independence between two variables given a set of conditioning variables.