Package edu.cmu.tetrad.search.work_in_progress

Class IndTestFisherZPercentIndependent

java.lang.Object

edu.cmu.tetrad.search.work_in_progress.IndTestFisherZPercentIndependent

All Implemented Interfaces:

IndependenceTest

public final class IndTestFisherZPercentIndependent
extends Object
implements IndependenceTest

Calculates independence from pooled residuals.

Version:

$Id: $Id

Author:

josephramsey

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method	Description
IndependenceResult	checkIndependence(Node x, Node y, Set<Node> _z)	checkIndependence.
boolean	determines(List z, Node x)
double	getAlpha()	Gets the getModel significance level.
ICovarianceMatrix	getCov()	getCov.
DataSet	getData()	Getter for the field data.
List<DataSet>	getDataSets()	Returns the datasets for this test
double	getPercent()	Getter for the field percent.
int[]	getRows()	Getter for the field rows.
int	getSampleSize()	Returns the sample size.
List<Node>	getVariables()	Getter for the field variables.
IndependenceTest	indTestSubset(List<Node> vars)	Returns an Independence test for a sublist of the variables.
boolean	isVerbose()	isVerbose.
void	setAlpha(double alpha)	Sets the significance level.
void	setFdr(boolean fdr)	Setter for the field fdr.
void	setPercent(double percent)	Setter for the field percent.
void	setVerbose(boolean verbose)	Sets whether this test will print verbose output.
String	toString()	toString.

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, getVariable, getVariableNames

Constructor Details

IndTestFisherZPercentIndependent

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

Constructor for IndTestFisherZPercentIndependent.

Parameters:

dataSets - a List object

alpha - a double

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:

a IndependenceTest object

checkIndependence

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

checkIndependence.

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()

Gets the getModel significance level.

Specified by:

getAlpha in interface IndependenceTest

Returns:

a double

setAlpha

public void setAlpha(double alpha)

Sets the significance level.

Sets the significance level at which independence judgments should be made. Affects the cutoff for partial correlations to be considered statistically equal to zero.

Specified by:

setAlpha in interface IndependenceTest

Parameters:

alpha - This level.

getVariables

public List<Node> getVariables()

Getter for the field variables.

Specified by:

getVariables in interface IndependenceTest

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.

determines

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

Throws:

UnsupportedOperationException

getData

public DataSet getData()

Getter for the field data.

Specified by:

getData in interface IndependenceTest

Returns:

a DataSet object

Throws:

UnsupportedOperationException - if any.

See Also:

• DataSet
• ICovarianceMatrix
• DataModel

getCov

public ICovarianceMatrix getCov()

getCov.

Specified by:

getCov in interface IndependenceTest

Returns:

a ICovarianceMatrix object

getDataSets

public List<DataSet> getDataSets()

Returns the datasets for this test

Specified by:

getDataSets in interface IndependenceTest

Returns:

these datasets.

getSampleSize

public int getSampleSize()

Returns the sample size.

Specified by:

getSampleSize in interface IndependenceTest

Returns:

This size.

toString

public String toString()

toString.

Specified by:

toString in interface IndependenceTest

Overrides:

toString in class Object

Returns:

a string representation of this test.

getRows

public int[] getRows()

Getter for the field rows.

Returns:

an array of

invalid reference

int

objects

getPercent

public double getPercent()

Getter for the field percent.

Returns:

a double

setPercent

public void setPercent(double percent)

Setter for the field percent.

Parameters:

percent - a double

setFdr

public void setFdr(boolean fdr)

Setter for the field fdr.

Parameters:

fdr - a boolean

isVerbose

public boolean isVerbose()

isVerbose.

Specified by:

isVerbose in interface IndependenceTest

Returns:

a boolean

setVerbose

public void setVerbose(boolean verbose)

Sets whether this test will print verbose output.

Specified by:

setVerbose in interface IndependenceTest

Parameters:

verbose - True, if so.