Uses of Class
edu.cmu.tetrad.data.CorrelationMatrix
Packages that use CorrelationMatrix
Package
Description
This package contains classes for causal graph search algorithms.
This package contains utility classes for causal graph search algorithms.
A package for algorithms that are not ready for prime time.
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Uses of CorrelationMatrix in edu.cmu.tetrad.data
Methods in edu.cmu.tetrad.data that return CorrelationMatrixModifier and TypeMethodDescriptionCorrelationMatrix.getSubCorrMatrix(String[] submatrixVarNames) getSubCorrMatrix.static CorrelationMatrixCorrelationMatrix.serializableInstance()Generates a simple exemplar of this class to test serialization. -
Uses of CorrelationMatrix in edu.cmu.tetrad.search
Methods in edu.cmu.tetrad.search with parameters of type CorrelationMatrixModifier and TypeMethodDescriptionstatic List<NtadExplorer.NtadResult> NtadExplorer.listRankDeficientNtads(CorrelationMatrix data, List<Node> vars, int blockSize, int maxResults, double alpha, Cca ccaTest) Identifies and returns a list of rank-deficient NTAD (near-total aggregate decomposition) results, based on the given correlation matrix and other input parameters.Constructors in edu.cmu.tetrad.search with parameters of type CorrelationMatrixModifierConstructorDescriptionFofc(CorrelationMatrix correlationMatrix, double alpha, int ess) Constructs an instance of the Fofc class from a correlation matrix, for use when the correlations do not come from a single raw data set--for example, the pooled correlations of several imputations of a data set with missing values.Ftfc(CorrelationMatrix correlationMatrix, double alpha, int ess) Constructs an instance of the Ftfc class from a correlation matrix, for use when the correlations do not come from a single raw data set--for example, the pooled correlations of several imputations of a data set with missing values.Gffc(CorrelationMatrix correlationMatrix, double alpha, int rMax, int ess) Constructs an instance of the Gffc class from a correlation matrix, for use when the correlations do not come from a single raw data set--for example, the pooled correlations of several imputations of a data set with missing values. -
Uses of CorrelationMatrix in edu.cmu.tetrad.search.utils
Constructors in edu.cmu.tetrad.search.utils with parameters of type CorrelationMatrixModifierConstructorDescriptionTetradTestContinuous(CorrelationMatrix correlationMatrix, BpcTestType sigTestType, double sig) Constructor for TetradTestContinuous.TetradTestPopulation(CorrelationMatrix CorrelationMatrix) Constructor for TetradTestPopulation. -
Uses of CorrelationMatrix in edu.cmu.tetrad.search.work_in_progress
Constructors in edu.cmu.tetrad.search.work_in_progress with parameters of type CorrelationMatrixModifierConstructorDescriptionIndTestCramerT(CorrelationMatrix covMatrix, double alpha) Deprecated.Constructs a new independence test that will determine conditional independence facts using the given correlation matrix and the given significance level.