Package edu.cmu.tetrad.search.test

Class IndTestFisherZFisherPValue

java.lang.Object

edu.cmu.tetrad.search.test.IndTestFisherZFisherPValue

All Implemented Interfaces:

IndependenceTest

public final class IndTestFisherZFisherPValue
extends Object
implements IndependenceTest

Calculates independence from multiple datasets from using the Fisher method of pooling independence results. See this paper for details:

Tillman, R. E., & Eberhardt, F. (2014). Learning causal structure from multiple datasets with similar variable sets. Behaviormetrika, 41(1), 41-64.

Version:

$Id: $Id

Author:

robertillman, josephramsey

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method	Description
IndependenceResult	checkIndependence(Node x, Node y, Set<Node> _z)	Checks for independence between two nodes given a set of conditioning nodes.
boolean	determines(List<Node> z, Node x)	Determines if a given list of conditioning nodes (z) determines the value of a specific node (x).
double	getAlpha()	Gets the getModel significance level.
ICovarianceMatrix	getCov()	Returns the covariance matrix of the concatenated data.
DataSet	getData()	Returns the concatenated data.
List<Node>	getVariables()	Returns the list of variables over which this independence checker is capable of determinine independence relations-- that is, all the variables in the given graph or the given data set.
IndependenceTest	indTestSubset(List<Node> vars)	Returns an Independence test for a sublist of the variables.
boolean	isVerbose()	Returns True if verbose output should be printed.
void	setAlpha(double alpha)	Sets the alpha significance cutoff value.
void	setVerbose(boolean verbose)	Sets whether verbose output should be printed.
String	toString()	Returns a string representation of this test.

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

IndTestFisherZFisherPValue

public IndTestFisherZFisherPValue(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:

The independence test for the sublist of variables.

checkIndependence

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

Checks for independence between two nodes given a set of conditioning nodes.

Specified by:

checkIndependence in interface IndependenceTest

Parameters:

x - The first node.

y - The second node.

_z - The set of conditioning nodes.

Returns:

The result of the independence test.

Throws:

RuntimeException - If a singularity is encountered during the test.

See Also:

• IndependenceResult

getAlpha

public double getAlpha()

Gets the getModel significance level.

Specified by:

getAlpha in interface IndependenceTest

Returns:

this alpha.

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 out of range (0.0 to 1.0).

getVariables

public List<Node> getVariables()

Returns the list of variables over which this independence checker is capable of determinine independence relations-- that is, all the variables in the given graph or the given data set.

Specified by:

getVariables in interface IndependenceTest

Returns:

This list.

determines

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

Determines if a given list of conditioning nodes (z) determines the value of a specific node (x).

Parameters:

z - The list of conditioning nodes.

x - The specific node to determine.

Returns:

True if the list of conditioning nodes determines the specific node; 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 of the concatenated data.

Specified by:

getCov in interface IndependenceTest

Returns:

This covariance matrix.

toString

public String toString()

Returns a string representation of this test.

Specified by:

toString in interface IndependenceTest

Overrides:

toString in class Object

Returns:

This string.

isVerbose

public boolean isVerbose()

Returns True if verbose output should be printed.

Specified by:

isVerbose in interface IndependenceTest

Returns:

True, if so.

setVerbose

public void setVerbose(boolean verbose)

Sets whether verbose output should be printed.

Specified by:

setVerbose in interface IndependenceTest

Parameters:

verbose - True if verbose output should be printed, False otherwise.