Package edu.cmu.tetrad.search.work_in_progress

Class IndTestMultinomialLogisticRegression

java.lang.Object

edu.cmu.tetrad.search.work_in_progress.IndTestMultinomialLogisticRegression

All Implemented Interfaces:

IndependenceTest

public class IndTestMultinomialLogisticRegression
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
IndTestMultinomialLogisticRegression(DataSet data, double alpha)	Constructor for IndTestMultinomialLogisticRegression.

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 y)	Determines if Node y is determined by the given list of Nodes z.
double	getAlpha()	Retrieves the significance level of the independence test.
DataSet	getData()	Retrieves the original data used for the independence test.
double	getPValue()	getPValue.
List<Node>	getVariables()	getVariables.
IndependenceTest	indTestSubset(List<Node> vars)	Performs an independence test for a sublist of variables.
boolean	isVerbose()	Returns true if the test prints verbose output.
void	setAlpha(double alpha)	Sets the significance level for the independence test.
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

IndTestMultinomialLogisticRegression

public IndTestMultinomialLogisticRegression(DataSet data,
 double alpha)

Constructor for IndTestMultinomialLogisticRegression.

Parameters:

data - a DataSet object

alpha - a double

Method Details

indTestSubset

public IndependenceTest indTestSubset(List<Node> vars)

Performs an independence test for a sublist of variables.

Specified by:

indTestSubset in interface IndependenceTest

Parameters:

vars - The sublist of variables.

Returns:

An object of type IndependenceTest.

Throws:

UnsupportedOperationException - if the independence subset feature is not implemented.

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:

An object of type IndependenceResult indicating the independence relationship between x and y, given z.

See Also:

• IndependenceResult

getPValue

public double getPValue()

getPValue.

Returns:

the probability associated with the most recently executed independence test, of Double.NaN if p value is not meaningful for tis test.

getVariables

public List<Node> getVariables()

getVariables.

Specified by:

getVariables in interface IndependenceTest

Returns:

the list of searchVariables over which this independence checker is capable of determinining independence relations.

determines

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

Determines if Node y is determined by the given list of Nodes z.

Parameters:

z - The list of Nodes to condition on.

y - The Node to be determined.

Returns:

True if y is determined by z, false otherwise.

getAlpha

public double getAlpha()

Retrieves the significance level of the independence test.

Specified by:

getAlpha in interface IndependenceTest

Returns:

The significance level.

setAlpha

public void setAlpha(double alpha)

Sets the significance level for the independence test.

Specified by:

setAlpha in interface IndependenceTest

Parameters:

alpha - The significance level.

getData

public DataSet getData()

Retrieves the original data used for the independence test.

Specified by:

getData in interface IndependenceTest

Returns:

The original DataSet object used for the independence test.

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:

a string representation of the object.

isVerbose

public boolean isVerbose()

Returns true if the test prints verbose output.

Specified by:

isVerbose in interface IndependenceTest

Returns:

True if the case.

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.