Uses of Class
edu.cmu.tetrad.search.test.IndependenceResult
Packages that use IndependenceResult
Package
Description
This package contains classes for causal graph search algorithms.
This package contains classes for testing causal graph search algorithms.
A package for algorithms that are not ready for prime time.
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Uses of IndependenceResult in edu.cmu.tetrad.searchMethods in edu.cmu.tetrad.search that return IndependenceResultModifier and TypeMethodDescriptionIndTestIod.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 IndependenceResultModifier and TypeMethodDescriptionMarkovCheck.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 IndependenceResultModifier and TypeMethodDescriptiondoubleMarkovCheck.getAndersonDarlingA2(List<IndependenceResult> visiblePairs) Calculates the Anderson-Darling A2 value for a list of independence results.doubleMarkovCheck.getAndersonDarlingPValue(List<IndependenceResult> visiblePairs) Calculates the Anderson-Darling p-value for a given list of independence results.doubleMarkovCheck.getBinomialPValue(List<IndependenceResult> visiblePairs) Calculates the binomial p-value based on the list of visible pairs.doubleMarkovCheck.getFisherCombinedPValue(List<IndependenceResult> visiblePairs) Calculates the combined p-value using Fisher's method for a given list of independence test results.doubleMarkovCheck.getFractionDependent(List<IndependenceResult> results) Calculates the fraction of dependent results.doubleMarkovCheck.getKsPValue(List<IndependenceResult> visiblePairs) Calculates the Kolmogorov-Smirnov (KS) p-value for a list of independence test results.MarkovCheck.getPValues(List<IndependenceResult> results) Returns the list of p-values for the given list of results.
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Uses of IndependenceResult in edu.cmu.tetrad.search.testMethods in edu.cmu.tetrad.search.test that return IndependenceResultModifier and TypeMethodDescriptionCachingIndependenceTest.checkIndependence(Node x, Node y, Set<Node> z) Evaluates the conditional independence between two nodes given a condition set of nodes.default IndependenceResultIndependenceTest.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) Checks the independence between two variables x and y given a conditioning set z.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.IndTestBasisFunctionLrt.checkIndependence(Node x, Node y, Set<Node> z) Deprecated.Tests for the conditional independence of two nodes given a set of conditioning nodes.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.IndTestBlocksLemma10.checkIndependence(Node x, Node y, Set<Node> z) Deprecated.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.IndTestBlocksWilkes.checkIndependence(Node x, Node y, Set<Node> z) 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.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) Tests for the conditional independence of two nodes given a set of conditioning nodes.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.IndTestFdrWrapper.checkIndependence(Node x, Node y, Set<Node> z) Checks the independence of two nodes given a conditioning set of nodes.IndTestFisherZ.checkIndependence(Node x, Node y, Set<Node> z) Checks the independence of two nodes given a conditioning set and returns the result.IndTestFisherZConcatenateResiduals.checkIndependence(Node x, Node y, Set<Node> _z) Deprecated.Determines whether x _||_ y | z.IndTestFisherZFisherPValue.checkIndependence(Node x, Node y, Set<Node> _z) Checks for independence between two nodes given a set of conditioning nodes.IndTestGin.checkIndependence(Node x, Node y, Set<Node> cond) Checks the independence of two given nodes, conditioned on a set of other nodes.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) Deprecated.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) Determines whether two nodes are independent given a set of conditioning nodes.IndTestProbabilistic.checkIndependence(Node x, Node y, Node... z) Checks the independence fact in question and returns and independence result.IndTestProbabilistic.checkIndependence(Node x, Node y, Set<Node> _z) Checks the independence between two variables x and y given a conditioning set z.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.IndTestRegression.checkIndependence(Node xVar, Node yVar, Set<Node> zList) Deprecated.Checks the independence between two variables, given a set of conditioning variables.IndTestTrekSep.checkIndependence(Node x, Node y, Set<Node> z) Deprecated.Determines independence between variables x and y, given the set of variables z.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.MsepTest.checkIndependence(Node x, Node y, Set<Node> z) Checks the independence between two nodes with respect to a set of conditioning nodes.ScoreIndTest.checkIndependence(Node x, Node y, Set<Node> z) Checks the independence between two nodes given a set of additional nodes.static IndependenceResultIndependenceResult.serializableInstance()Generates a simple exemplar of this class to test serialization.
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Uses of IndependenceResult in edu.cmu.tetrad.search.work_in_progressMethods in edu.cmu.tetrad.search.work_in_progress that return IndependenceResultModifier and TypeMethodDescriptionIndTestCramerT.checkIndependence(Node x, Node y, Set<Node> _z) Deprecated.Checks the independence between two nodes given a set of conditioning nodes.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.IndTestFisherZRecursive.checkIndependence(Node x, Node y, Set<Node> z) Deprecated.Checks the independence between two variables x and y given a conditioning set z.IndTestMixedMultipleTTest.checkIndependence(Node x, Node y, Set<Node> z) Deprecated.Checks for independence between two nodes.IndTestMultinomialLogisticRegression.checkIndependence(Node x, Node y, Set<Node> z) Checks for independence between two nodes, given a set of conditioning nodes.IndTestPositiveCorr.checkIndependence(Node x0, Node y0, Set<Node> _z0) Deprecated.Checks the independence between two nodes, given a set of conditioning nodes.IndTestSepsetDci.checkIndependence(Node x, Node y, Set<Node> z) Checks the independence between two nodes, given a set of conditioning nodes.ProbabilisticMapIndependence.checkIndependence(Node x, Node y, Node... z) Checks the independence fact in question and returns and independence result.ProbabilisticMapIndependence.checkIndependence(Node x, Node y, Set<Node> _z) Checks the independence between two variables x and y given a conditioning set z.
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Uses of IndependenceResult in edu.pitt.csb.mgmMethods in edu.pitt.csb.mgm that return IndependenceResultModifier and TypeMethodDescriptionIndTestMultinomialLogisticRegressionWald.checkIndependence(Node x, Node y, Set<Node> z) Determines the independence between two variables given a set of conditioning variables.