Package edu.cmu.tetrad.search

Class ProbabilisticMAPIndependence

java.lang.Object

edu.cmu.tetrad.search.ProbabilisticMAPIndependence

All Implemented Interfaces:

IndependenceTest

public class ProbabilisticMAPIndependence
extends Object
implements IndependenceTest

Uses BCInference by Cooper and Bui to calculate probabilistic conditional independence judgments.

Author:

Joseph Ramsey 3/2014

Constructor Summary

Constructors

Constructor	Description
ProbabilisticMAPIndependence(DataSet dataSet)	Initializes the test using a discrete data sets.

Method Summary

Modifier and Type	Method	Description
IndependenceResult	checkIndependence(Node x, Node y, Node... z)
IndependenceResult	checkIndependence(Node x, Node y, List<Node> z)
boolean	determines(List<Node> z, Node y)
double	getAlpha()
DataModel	getData()
Map<IndependenceFact,Double>	getH()
double	getPosterior()
double	getScore()	A score that is higher with more likely models.
Node	getVariable(String name)
List<Node>	getVariables()
IndependenceTest	indTestSubset(List<Node> vars)
boolean	isVerbose()
double	probConstraint(BCInference.OP op, Node x, Node y, Node[] z)
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

getCov, getDataSets, getSampleSize, getVariableNames, toString

Constructor Details

ProbabilisticMAPIndependence

public ProbabilisticMAPIndependence(DataSet dataSet)

Initializes the test using a discrete data sets.

Method Details

indTestSubset

public IndependenceTest indTestSubset(List<Node> vars)

Specified by:

indTestSubset in interface IndependenceTest

Returns:

an Independence test for a subset of the variables.

checkIndependence

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

Specified by:

checkIndependence in interface IndependenceTest

Returns:

an IndependenceResult (see).

See Also:

• IndependenceResult

checkIndependence

public IndependenceResult checkIndependence(Node x,
 Node y,
 Node... z)

Specified by:

checkIndependence in interface IndependenceTest

Returns:

and IndependenceResult (see).

See Also:

• IndependenceResult

probConstraint

public double probConstraint(BCInference.OP op,
 Node x,
 Node y,
 Node[] z)

getVariables

public List<Node> getVariables()

Specified by:

getVariables in interface IndependenceTest

Returns:

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

getVariable

public Node getVariable(String name)

Specified by:

getVariable in interface IndependenceTest

Returns:

the variable by the given name.

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.

setAlpha

public void setAlpha(double alpha)

Description copied from interface: IndependenceTest

Sets the significance level.

Specified by:

setAlpha in interface IndependenceTest

getData

public DataModel 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

getH

public Map<IndependenceFact,Double> getH()

getPosterior

public double getPosterior()

isVerbose

public boolean isVerbose()

Specified by:

isVerbose in interface IndependenceTest

setVerbose

public void setVerbose(boolean verbose)

Specified by:

setVerbose in interface IndependenceTest