Package edu.cmu.tetrad.search.work_in_progress

Class IndTestMixedMultipleTTest

java.lang.Object

edu.cmu.tetrad.search.work_in_progress.IndTestMixedMultipleTTest

All Implemented Interfaces:

IndependenceTest

public class IndTestMixedMultipleTTest
extends Object
implements IndependenceTest

Performs a test of conditional independence X _||_ Y | Z1...Zn where all searchVariables are either continuous or discrete. This test is valid for both ordinal and non-ordinal discrete searchVariables.

This logisticRegression makes multiple assumptions: 1. IIA 2. Large sample size (multiple regressions needed on subsets of sample)

Version:

$Id: $Id

Author:

josephramsey, Augustus Mayo.

Constructor Summary

Constructors

Constructor	Description
IndTestMixedMultipleTTest(DataSet data, double alpha)	Constructor for IndTestMixedMultipleTTest.

Method Summary

Modifier and Type	Method	Description
IndependenceResult	checkIndependence(Node x, Node y, Set<Node> z)	Checks for independence between two nodes.
boolean	determines(List<Node> z, Node y)	Determines if a given set of nodes z determines the node y.
double	getAlpha()	Returns the significance level of the independence test.
DataSet	getData()	Returne the original data for the method.
double	getPValue()	Returns the p-value from the last independence test.
List<Node>	getVariables()	Retrieves the list of variables used in the original data set.
IndependenceTest	indTestSubset(List<Node> vars)	Returns an Independence test for a sublist of the variables.
boolean	isVerbose()	Returns whether verbose output should be printed.
void	setAlpha(double alpha)	Sets the significance level for the independence test.
void	setPreferLinear(boolean preferLinear)	Setter for the field preferLinear.
void	setVerbose(boolean verbose)	Sets whether this test will print verbose output.
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, getCov, getDataSets, getSampleSize, getVariable, getVariableNames

Constructor Details

IndTestMixedMultipleTTest

public IndTestMixedMultipleTTest(DataSet data,
 double alpha)

Constructor for IndTestMixedMultipleTTest.

Parameters:

data - a DataSet object

alpha - a double

Method Details

setPreferLinear

public void setPreferLinear(boolean preferLinear)

Setter for the field preferLinear.

Parameters:

preferLinear - a boolean

indTestSubset

public IndependenceTest indTestSubset(List<Node> vars)

Description copied from interface: IndependenceTest

Returns an Independence test for a sublist of the variables.

Specified by:

indTestSubset in interface IndependenceTest

Parameters:

vars - The sublist of variables.

Returns:

an IndependenceTest object

checkIndependence

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

Checks for independence between two nodes.

Specified by:

checkIndependence in interface IndependenceTest

Parameters:

x - the first node to check independence for

y - the second node to check independence for

z - a set of conditioning nodes

Returns:

the result of the independence test

See Also:

• IndependenceResult

getPValue

public double getPValue()

Returns the p-value from the last independence test.

Returns:

the p-value

getVariables

public List<Node> getVariables()

Retrieves the list of variables used in the original data set. Note that it returns the variables from the original data set, not the modified dataset.

Specified by:

getVariables in interface IndependenceTest

Returns:

The list of variables from the original data set.

determines

public boolean determines(List<Node> z,
 Node y)

Determines if a given set of nodes z determines the node y.

Parameters:

z - The set of nodes to check if they determine y.

y - The node to check if it is determined by z.

Returns:

true if z determines y, false otherwise.

Throws:

UnsupportedOperationException - since not implemented.

getAlpha

public double getAlpha()

Description copied from interface: IndependenceTest

Returns the significance level of the independence test.

Specified by:

getAlpha in interface IndependenceTest

Returns:

This level.

Throws:

UnsupportedOperationException - since not implemented.

setAlpha

public void setAlpha(double alpha)

Sets the significance level for the independence test.

Specified by:

setAlpha in interface IndependenceTest

Parameters:

alpha - This level.

getData

public DataSet getData()

Returne the original data for the method.

Specified by:

getData in interface IndependenceTest

Returns:

This data.

See Also:

• DataSet
• ICovarianceMatrix
• DataModel

toString

public String toString()

Returns a string representation of the object.

Specified by:

toString in interface IndependenceTest

Overrides:

toString in class Object

Returns:

This.

isVerbose

public boolean isVerbose()

Returns whether verbose output should be printed.

Specified by:

isVerbose in interface IndependenceTest

Returns:

This.

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.