Package edu.cmu.tetrad.search

Class IndTestMNLRLRT

java.lang.Object

edu.cmu.tetrad.search.IndTestMNLRLRT

All Implemented Interfaces:

IndependenceTest

public class IndTestMNLRLRT
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.

Author:

Bryan Andrews

Constructor Summary

Constructors

Constructor	Description
IndTestMNLRLRT(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)
double	getAlpha()
DataSet	getData()
double	getPValue()
double	getScore()	A score that is higher with more likely models.
List<Node>	getVariables()
IndependenceTest	indTestSubset(List<Node> vars)
boolean	isVerbose()
void	setAlpha(double alpha)	Sets the significance level.
void	setVerbose(boolean verbose)

Methods inherited from class java.lang.Object

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

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

checkIndependence, getCov, getDataSets, getSampleSize, getVariable, getVariableNames, toString

Constructor Details

IndTestMNLRLRT

public IndTestMNLRLRT(DataSet data,
 double alpha)

Method Details

indTestSubset

public IndependenceTest indTestSubset(List<Node> vars)

Specified by:

indTestSubset in interface IndependenceTest

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)

Specified by:

determines in interface IndependenceTest

Returns:

true if y is determined the variable in z.

getAlpha

public double getAlpha()

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

getData

public DataSet getData()

Specified by:

getData in interface IndependenceTest

Returns:

The data model for the independence test.

getScore

public double getScore()

Description copied from interface: IndependenceTest

A score that is higher with more likely models.

Specified by:

getScore in interface IndependenceTest

isVerbose

public boolean isVerbose()

Specified by:

isVerbose in interface IndependenceTest

setVerbose

public void setVerbose(boolean verbose)

Specified by:

setVerbose in interface IndependenceTest