Package edu.cmu.tetrad.stat.correlation

Class RealCovarianceMatrixForkJoin

java.lang.Object

edu.cmu.tetrad.stat.correlation.RealCovarianceMatrixForkJoin

All Implemented Interfaces:

RealCovariance

public class RealCovarianceMatrixForkJoin
extends Object
implements RealCovariance

Jan 27, 2016 5:37:40 PM

Version:

$Id: $Id

Author:

Kevin V. Bui (kvb2@pitt.edu)

Constructor Summary

Constructors

Constructor	Description
RealCovarianceMatrixForkJoin(double[][] data, int numOfThreads)	Constructor for RealCovarianceMatrixForkJoin.

Method Summary

Modifier and Type	Method	Description
double[][]	compute(boolean biasCorrected)	compute.
double[]	computeLowerTriangle(boolean biasCorrected)	computeLowerTriangle.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

RealCovarianceMatrixForkJoin

public RealCovarianceMatrixForkJoin(double[][] data,
 int numOfThreads)

Constructor for RealCovarianceMatrixForkJoin.

Parameters:

data - an array of objects

numOfThreads - a int

Method Details

computeLowerTriangle

public double[] computeLowerTriangle(boolean biasCorrected)

computeLowerTriangle.

Specified by:

computeLowerTriangle in interface RealCovariance

Parameters:

biasCorrected - a boolean

Returns:

an array of objects

compute

public double[][] compute(boolean biasCorrected)

compute.

Specified by:

compute in interface RealCovariance

Parameters:

biasCorrected - a boolean

Returns:

an array of objects