Package edu.cmu.tetrad.search.test

Class IndTestFisherZConcatenateResiduals

java.lang.Object

edu.cmu.tetrad.search.test.IndTestFisherZConcatenateResiduals

All Implemented Interfaces:

IndependenceTest

public final class IndTestFisherZConcatenateResiduals
extends Object
implements IndependenceTest

Calculates independence from pooled residuals using the Fisher Z method.

Version:

$Id: $Id

Author:

josephramsey

See Also:

• IndTestFisherZ

Constructor Summary

Constructors

Constructor	Description
IndTestFisherZConcatenateResiduals(List<DataSet> dataSets, double alpha)	Constructor.

Method Summary

Modifier and Type	Method	Description
IndependenceResult	checkIndependence(Node x, Node y, Set<Node> _z)	Determines whether x _||_ y | z.
boolean	determines(List<Node> z, Node x)	Determines whether the z nodes determine the x node.
double	getAlpha()	This method returns the alpha significance cutoff value used in the independence test.
ICovarianceMatrix	getCov()	Returns the covariance matrix for the data sets.
DataSet	getData()	Returns the concatenated data.
List<Node>	getVariables()	Returns the list of variables used in this method.
IndependenceTest	indTestSubset(List<Node> vars)	Returns an Independence test for a sublist of the variables.
boolean	isVerbose()	Return True if verbose output should be printed.
void	setAlpha(double alpha)	Sets the alpha significance cutoff value.
void	setVerbose(boolean verbose)	Sets the verbose output flag.
String	toString()	Returns a string representation of the object.

Methods inherited from class java.lang.Object

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

Methods inherited from interface edu.cmu.tetrad.search.IndependenceTest

checkIndependence, determines, getDataSets, getSampleSize, getVariable, getVariableNames

Constructor Details

IndTestFisherZConcatenateResiduals

public IndTestFisherZConcatenateResiduals(List<DataSet> dataSets,
 double alpha)

Constructor.

Parameters:

dataSets - The continuous datasets to analyze.

alpha - The alpha significance cutoff value.

Method Details

indTestSubset

public IndependenceTest indTestSubset(List<Node> vars)

Returns an Independence test for a sublist of the variables.

Specified by:

indTestSubset in interface IndependenceTest

Parameters:

vars - The sublist of variables.

Returns:

an instance of IndependenceTest.

checkIndependence

public IndependenceResult checkIndependence(Node x,
 Node y,
 Set<Node> _z)

Determines whether x _||_ y | z.

Specified by:

checkIndependence in interface IndependenceTest

Parameters:

x - a Node object

y - a Node object

_z - a Set object

Returns:

a IndependenceResult object

See Also:

• IndependenceResult

getAlpha

public double getAlpha()

This method returns the alpha significance cutoff value used in the independence test.

Specified by:

getAlpha in interface IndependenceTest

Returns:

the alpha significance cutoff value

setAlpha

public void setAlpha(double alpha)

Sets the alpha significance cutoff value.

Specified by:

setAlpha in interface IndependenceTest

Parameters:

alpha - The alpha significance cutoff value.

Throws:

IllegalArgumentException - if the alpha value is outside the range [0, 1]

getVariables

public List<Node> getVariables()

Returns the list of variables used in this method.

Specified by:

getVariables in interface IndependenceTest

Returns:

The list of variables.

determines

public boolean determines(List<Node> z,
 Node x)
                   throws UnsupportedOperationException

Determines whether the z nodes determine the x node.

Parameters:

z - The list of nodes to condition on.

x - The node to test determination for.

Returns:

True if node x is dependent on nodes z, False otherwise.

Throws:

UnsupportedOperationException - Always throws this exception.

getData

public DataSet getData()

Returns the concatenated data.

Specified by:

getData in interface IndependenceTest

Returns:

This data

See Also:

• DataSet
• ICovarianceMatrix
• DataModel

getCov

public ICovarianceMatrix getCov()

Returns the covariance matrix for the data sets.

Specified by:

getCov in interface IndependenceTest

Returns:

The covariance matrix of the standardized data sets.

toString

public String toString()

Returns a string representation of the object.

Specified by:

toString in interface IndependenceTest

Overrides:

toString in class Object

Returns:

A string representing the object.

isVerbose

public boolean isVerbose()

Return True if verbose output should be printed.

Specified by:

isVerbose in interface IndependenceTest

Returns:

True, if so.

setVerbose

public void setVerbose(boolean verbose)

Sets the verbose output flag.

Specified by:

setVerbose in interface IndependenceTest

Parameters:

verbose - Whether verbose output should be printed or not.