Package edu.cmu.tetrad.search.utils

Class PartialCorrelation

java.lang.Object

edu.cmu.tetrad.search.utils.PartialCorrelation

public class PartialCorrelation
extends Object

Calculates partial correlation using the recursive method.

Version:

$Id: $Id

Author:

josephramsey

Constructor Summary

Constructors

Constructor	Description
PartialCorrelation(ICovarianceMatrix cov)	Constructor
PartialCorrelation(List<Node> nodes, Matrix cov, int sampleSize)	Constructor.

Method Summary

Modifier and Type	Method	Description
double	corr(Node x, Node y, List<Node> z)	Calculates the partial correlation of x and y conditional on the nodes in z recursively.

Methods inherited from class java.lang.Object

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

Constructor Details

PartialCorrelation

public PartialCorrelation(List<Node> nodes,
 Matrix cov,
 int sampleSize)

Constructor.

Parameters:

nodes - The lsit of nodes.

cov - The covariance matrix, as a Matrix.

sampleSize - The sample size.

PartialCorrelation

public PartialCorrelation(ICovarianceMatrix cov)

Constructor

Parameters:

cov - The covariance matrix, as an ICovariance object.

Method Details

corr

public double corr(Node x,
 Node y,
 List<Node> z)

Calculates the partial correlation of x and y conditional on the nodes in z recursively.

Parameters:

x - a Node object

y - a Node object

z - a List object

Returns:

this partial correlation.