Uses of Class
edu.cmu.tetrad.search.test.IndependenceResult
Packages that use IndependenceResult
Package
Description
Contains classes for searching for (mostly structural) causal models given data.
Contains classes for running conditional independence tests for various sorts of data.
Contains some classes that aren't ready for prime time.
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Uses of IndependenceResult in edu.cmu.tetrad.search
Methods in edu.cmu.tetrad.search that return IndependenceResultModifier and TypeMethodDescriptiondefault IndependenceResult
IndependenceTest.checkIndependence
(Node x, Node y, Node... z) Checks the independence fact in question and returns and independence result.IndependenceTest.checkIndependence
(Node x, Node y, Set<Node> z) IndTestIod.checkIndependence
(Node x, Node y, Set<Node> z) Checks the indicated independence fact by pooling available tests for the given variables.Methods in edu.cmu.tetrad.search that return types with arguments of type IndependenceResultModifier and TypeMethodDescriptionMarkovCheck.getResults
(boolean indep) After the generateResults method has been called, this method returns the results for the local Markov or local Faithfulness check, depending on the value of the indep parameter.Method parameters in edu.cmu.tetrad.search with type arguments of type IndependenceResultModifier and TypeMethodDescriptionMarkovCheck.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 IndependenceResultModifier and TypeMethodDescriptionIndTestChiSquare.checkIndependence
(Node x, Node y, Set<Node> _z) Determines whether variable x is independent of variable y given a list of conditioning varNames z.IndTestConditionalCorrelation.checkIndependence
(Node x, Node y, Set<Node> z) Checks the independence of x _||_ y | zIndTestConditionalGaussianLrt.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.IndTestDegenerateGaussianLrt.checkIndependence
(Node x, Node y, Set<Node> _z) Returns an independence result specifying whether x _||_ y | Z and what its p-values are.IndTestFisherZ.checkIndependence
(Node x, Node y, Set<Node> z) Determines whether variable x _||_ y | z given a list of conditioning variables z.IndTestFisherZConcatenateResiduals.checkIndependence
(Node x, Node y, Set<Node> _z) Determines whether x _||_ y | z.IndTestFisherZFisherPValue.checkIndependence
(Node x, Node y, Set<Node> _z) Determines whether variable x is independent of variable y given a list of conditioning variables z.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.IndTestHsic.checkIndependence
(Node y, Node x, Set<Node> _z) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestIndependenceFacts.checkIndependence
(Node x, Node y, Set<Node> __z) Checks independence by looking up facts in the list of facts supplied in the constructor.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.IndTestMvpLrt.checkIndependence
(Node x, Node y, Set<Node> _z) Returns an independence result for x _||_ y | z.IndTestProbabilistic.checkIndependence
(Node x, Node y, Node... z) IndTestProbabilistic.checkIndependence
(Node x, Node y, Set<Node> _z) IndTestRegression.checkIndependence
(Node xVar, Node yVar, Set<Node> zList) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestTrekSep.checkIndependence
(Node x, Node y, Set<Node> z) Determines whether variable x is independent of variable y given a list of conditioning variables z.Kci.checkIndependence
(Node x, Node y, Set<Node> z) Returns True if the given independence question is judged true, false if not.MsepTest.checkIndependence
(Node x, Node y, Set<Node> z) Checks the indicated m-separation fact, msep(x , y | z).ScoreIndTest.checkIndependence
(Node x, Node y, Set<Node> z) Determines whether x _||_ y | zstatic IndependenceResult
IndependenceResult.serializableInstance()
Generates a simple exemplar of this class to test serialization.Methods in edu.cmu.tetrad.search.test with parameters of type IndependenceResultModifier and TypeMethodDescriptiondouble
Kci.getScore
(IndependenceResult result) Returns alpha - p. -
Uses of IndependenceResult in edu.cmu.tetrad.search.work_in_progress
Methods in edu.cmu.tetrad.search.work_in_progress that return IndependenceResultModifier and TypeMethodDescriptionIndTestCramerT.checkIndependence
(Node x, Node y, Set<Node> _z) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestFisherZGeneralizedInverse.checkIndependence
(Node xVar, Node yVar, Set<Node> _z) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestFisherZPercentIndependent.checkIndependence
(Node x, Node y, Set<Node> _z) IndTestFisherZRecursive.checkIndependence
(Node x, Node y, Set<Node> z) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestMixedMultipleTTest.checkIndependence
(Node x, Node y, Set<Node> z) IndTestMnlrLr.checkIndependence
(Node x, Node y, Set<Node> _z) IndTestMultinomialLogisticRegression.checkIndependence
(Node x, Node y, Set<Node> z) IndTestPositiveCorr.checkIndependence
(Node x0, Node y0, Set<Node> _z0) Determines whether variable x is independent of variable y given a list of conditioning variables z.IndTestSepsetDci.checkIndependence
(Node x, Node y, Set<Node> z) Checks the indicated independence fact.IndTestUniformScatter.checkIndependence
(Node x, Node y, Set<Node> z) ProbabilisticMapIndependence.checkIndependence
(Node x, Node y, Node... z) ProbabilisticMapIndependence.checkIndependence
(Node x, Node y, Set<Node> _z) -
Uses of IndependenceResult in edu.pitt.csb.mgm
Methods in edu.pitt.csb.mgm that return IndependenceResultModifier and TypeMethodDescriptionIndTestMultinomialLogisticRegressionWald.checkIndependence
(Node x, Node y, Set<Node> z)