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)

Author:

josephramsey, Augustus Mayo.

Constructor Summary

Constructors

Constructor	Description
IndTestMultinomialLogisticRegression(DataSet data, double alpha)

Method Summary

Modifier and Type	Method	Description
IndependenceResult	checkIndependence(Node x, Node y, List<Node> z)
boolean	determines(List<Node> z, Node y)	Returns true if y is determined the variable in z.
double	getAlpha()	Returns the significance level of the independence test.
DataSet	getData()
double	getPValue()
double	getScore()	Return A score that is higher with more likely models.
List<Node>	getVariables()
IndependenceTest	indTestSubset(List<Node> vars)	Returns an Independence test for a sublist of the variables.
boolean	isVerbose()	Returns true if the test prints verbose output.
void	setAlpha(double alpha)	Sets the significance level.
void	setVerbose(boolean verbose)	Sets whether this test will print verbose output.
String	toString()	Returns a string representation of this test.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

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

checkIndependence, getCov, getDataSets, getSampleSize, getVariable, getVariableNames

Constructor Details

IndTestMultinomialLogisticRegression

public IndTestMultinomialLogisticRegression(DataSet data,
 double alpha)

Method Details

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 Independence test for a subset of the searchVariables.

checkIndependence

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

Specified by:

checkIndependence in interface IndependenceTest

Returns:

true if the given independence question is judged true, false if not. The independence question is of the form x _||_ y | z, z = [z1,...,zn], where x, y, z1,...,zn are searchVariables in the list returned by getVariableNames().

See Also:

• IndependenceResult

getPValue

public double 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()

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)

Description copied from interface: IndependenceTest

Returns true if y is determined the variable in z.

Specified by:

determines in interface IndependenceTest

Returns:

true if y is determined the variable in z.

getAlpha

public double getAlpha()

Description copied from interface: IndependenceTest

Returns the significance level of the independence test.

Specified by:

getAlpha in interface IndependenceTest

Returns:

the significance level of the independence test.

Throws:

UnsupportedOperationException - if there is no significance level.

setAlpha

public void setAlpha(double alpha)

Sets the significance level.

Specified by:

setAlpha in interface IndependenceTest

Parameters:

alpha - This level.

getData

public DataSet getData()

Specified by:

getData in interface IndependenceTest

Returns:

The data model for the independence test, either a DataSet or a CovarianceMatrix.

See Also:

• DataSet
• ICovarianceMatrix
• DataModel

getScore

public double getScore()

Description copied from interface: IndependenceTest

Return A score that is higher with more likely models.

Specified by:

getScore in interface IndependenceTest

Returns:

This score.

toString

public String toString()

Description copied from interface: IndependenceTest

Returns a string representation of this test.

Specified by:

toString in interface IndependenceTest

Overrides:

toString in class Object

Returns:

a string representation of this test.

isVerbose

public boolean isVerbose()

Description copied from interface: IndependenceTest

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)

Description copied from interface: IndependenceTest

Sets whether this test will print verbose output.

Specified by:

setVerbose in interface IndependenceTest

Parameters:

verbose - True if so.