Uses of Class
edu.cmu.tetrad.data.CovarianceMatrix

Packages that use CovarianceMatrix

Package	Description
edu.cmu.tetrad.data
edu.cmu.tetrad.search	This package contains classes for causal graph search algorithms.
edu.cmu.tetrad.search.work_in_progress	A package for algorithms that are not ready for prime time.

Uses of CovarianceMatrix in edu.cmu.tetrad.data

Subclasses of CovarianceMatrix in edu.cmu.tetrad.data

Modifier and Type	Class	Description
final class	CorrelationMatrix	Stores a correlation matrix together with variable names and sample size; intended as a representation of a data set.

Methods in edu.cmu.tetrad.data that return CovarianceMatrix

Modifier and Type	Method	Description
final CovarianceMatrix	CovarianceMatrix.getSubmatrix(String[] submatrixVarNames)	getSubmatrix.

Methods in edu.cmu.tetrad.data with parameters of type CovarianceMatrix

Modifier and Type	Method	Description
static DataSet	DataUtils.choleskySimulation(CovarianceMatrix cov)	choleskySimulation.

Constructors in edu.cmu.tetrad.data with parameters of type CovarianceMatrix

Modifier	Constructor	Description
	CovarianceMatrix(CovarianceMatrix covMatrix)	Copy constructor.

Uses of CovarianceMatrix in edu.cmu.tetrad.search

Methods in edu.cmu.tetrad.search with parameters of type CovarianceMatrix

Modifier and Type	Method	Description
Graph	RlcdCore.applyGinOrientations(CovarianceMatrix cov, Graph cpdag, int N)	Applies GIN (General Independence Network) orientation rules to the given CPDAG (Completed Partially Directed Acyclic Graph) using the specified covariance matrix and sample size.
org.ejml.data.DMatrixRMaj	RlcdCore.crossCov(CovarianceMatrix cov, int[] A, int[] B)	Computes the cross-covariance matrix for the specified subsets of variables.
static Set<Set<Integer>>	TscHarnessTest.runOnce(List<Node> vars, CovarianceMatrix cov, double alpha, int ess, int minRedundancy)	Executes the time series clustering (TSC) algorithm once with the given parameters and returns canonicalized clusters as a set of sets of integers.
RlcdCore.Stage1Output	RlcdCore.stage1Structure(CovarianceMatrix cov, int N)	Executes the first stage of the RLCD structure learning algorithm.
boolean	RlcdCore.testRankLE(CovarianceMatrix cov, int[] A, int[] B, int r, String method, double tau, int N, double alpha)	Tests whether the rank of the cross-covariance matrix extracted from the given covariance matrix is less than or equal to the specified rank threshold using one of the supported methods.

Constructors in edu.cmu.tetrad.search with parameters of type CovarianceMatrix

Modifier	Constructor	Description
	Bpc(CovarianceMatrix cov, double alpha, int ess)	Constructor for the Bpc class.
	Tsc(List<Node> variables, CovarianceMatrix cov)	Constructs an instance of the TscScored class using the provided variables and covariance matrix.

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

Constructors in edu.cmu.tetrad.search.work_in_progress with parameters of type CovarianceMatrix

Modifier	Constructor	Description
	HbsmsBeam(Graph graph, CovarianceMatrix cov, Knowledge knowledge)	Constructor for HbsmsBeam.