Uses of Class
edu.cmu.tetrad.search.IndependenceResult
Packages that use IndependenceResult
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Uses of IndependenceResult in edu.cmu.tetrad.search
Methods in edu.cmu.tetrad.search that return IndependenceResultModifier and TypeMethodDescriptiondefault IndependenceResultIndependenceTest.checkIndependence(Node x, Node y, Node... z) IndependenceTest.checkIndependence(Node x, Node y, List<Node> z) IndTestChiSquare.checkIndependence(Node x, Node y, List<Node> z) Determines whether variable x is independent of variable y given a list of conditioning varNames z.IndTestCodec.checkIndependence(Node y, Node z, List<Node> x) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestConditionalCorrelation.checkIndependence(Node x, Node y, List<Node> z) IndTestConditionalCorrelationLingam.checkIndependence(Node x, Node y, List<Node> z) IndTestConditionalGaussianLRT.checkIndependence(Node x, Node y, List<Node> z) IndTestCramerT.checkIndependence(Node x, Node y, List<Node> z) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestDegenerateGaussianLRT.checkIndependence(Node x, Node y, List<Node> z) IndTestDSep.checkIndependence(Node x, Node y, List<Node> z) Checks the indicated d-separation fact.IndTestFisherZ.checkIndependence(Node x, Node y, List<Node> z) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestFisherZConcatenateResiduals.checkIndependence(Node x, Node y, List<Node> z) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestFisherZFisherPValue.checkIndependence(Node x, Node y, List<Node> z) IndTestFisherZGeneralizedInverse.checkIndependence(Node xVar, Node yVar, List<Node> z) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestFisherZPercentIndependent.checkIndependence(Node x, Node y, List<Node> z) IndTestFisherZRecursive.checkIndependence(Node x, Node y, List<Node> z) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestGSquare.checkIndependence(Node x, Node y, List<Node> z) Determines whether variable x is independent of variable y given a list of conditioning varNames z.IndTestHsic.checkIndependence(Node y, Node x, List<Node> z) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestIndependenceFacts.checkIndependence(Node x, Node y, List<Node> z) IndTestMixedMultipleTTest.checkIndependence(Node x, Node y, List<Node> z) IndTestMNLRLRT.checkIndependence(Node x, Node y, List<Node> z) IndTestMulti.checkIndependence(Node x, Node y, List<Node> z) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestMultinomialLogisticRegression.checkIndependence(Node x, Node y, List<Node> z) IndTestMVPLRT.checkIndependence(Node x, Node y, List<Node> z) IndTestPositiveCorr.checkIndependence(Node x0, Node y0, List<Node> z0) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestProbabilistic.checkIndependence(Node x, Node y, Node... z) IndTestProbabilistic.checkIndependence(Node x, Node y, List<Node> z) IndTestRegression.checkIndependence(Node xVar, Node yVar, List<Node> zList) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestScore.checkIndependence(Node x, Node y, List<Node> z) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestSepset.checkIndependence(Node x, Node y, List<Node> z) Checks the indicated independence fact.IndTestTrekSep.checkIndependence(Node x, Node y, List<Node> z) Determines whether variable x is independent of variable y given a list of conditioning variables z.Kci.checkIndependence(Node x, Node y, List<Node> z) Returns true if the given independence question is judged true, false if not.ProbabilisticMAPIndependence.checkIndependence(Node x, Node y, Node... z) ProbabilisticMAPIndependence.checkIndependence(Node x, Node y, List<Node> z) static IndependenceResultIndependenceResult.serializableInstance()Generates a simple exemplar of this class to test serialization. -
Uses of IndependenceResult in edu.pitt.csb.mgm
Methods in edu.pitt.csb.mgm that return IndependenceResultModifier and TypeMethodDescriptionIndTestMultinomialLogisticRegressionWald.checkIndependence(Node x, Node y, List<Node> z)