Package edu.cmu.tetrad.search.work_in_progress

Class ProbabilisticMapIndependence

java.lang.Object

edu.cmu.tetrad.search.work_in_progress.ProbabilisticMapIndependence

All Implemented Interfaces:

IndependenceTest

public class ProbabilisticMapIndependence
extends Object
implements IndependenceTest

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

Version:

$Id: $Id

Author:

josephramsey 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)	Checks the independence fact in question and returns and independence result.
IndependenceResult	checkIndependence(Node x, Node y, Set<Node> _z)	checkIndependence.
boolean	determines(Set<Node> z, Node y)	Returns true if y is determined the variable in z.
double	getAlpha()	Returns the significance level of the independence test.
DataModel	getData()	getData.
Map<IndependenceFact,Double>	getH()	getH.
double	getPosterior()	Getter for the field posterior.
Node	getVariable(String name)	Returns The variable by the given name.
List<Node>	getVariables()	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.
double	probConstraint(BCInference.OP op, Node x, Node y, Node[] z)	probConstraint.
void	setAlpha(double alpha)	Sets the significance level.
void	setVerbose(boolean verbose)	Sets whether this test will print verbose output.

Methods inherited from class java.lang.Object

equals, 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.

Parameters:

dataSet - a DataSet object

Method Details

indTestSubset

public IndependenceTest indTestSubset(List<Node> vars)

Returns an Independence test for a sublist of the variables.

Specified by:

indTestSubset in interface IndependenceTest

Parameters:

vars - The sublist of variables.

Returns:

a IndependenceTest object

checkIndependence

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

checkIndependence.

Specified by:

checkIndependence in interface IndependenceTest

Parameters:

x - a Node object

y - a Node object

_z - a Set object

Returns:

an IndependenceResult (see).

See Also:

• IndependenceResult

checkIndependence

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

Checks the independence fact in question and returns and independence result.

Specified by:

checkIndependence in interface IndependenceTest

Parameters:

x - a Node object

y - a Node object

z - a Node object

Returns:

The independence result.

See Also:

• IndependenceResult

probConstraint

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

probConstraint.

Parameters:

op - a BCInference.OP object

x - a Node object

y - a Node object

z - an array of Node objects

Returns:

a double

getVariables

public List<Node> getVariables()

getVariables.

Specified by:

getVariables in interface IndependenceTest

Returns:

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

getVariable

public Node getVariable(String name)

Returns The variable by the given name.

Specified by:

getVariable in interface IndependenceTest

Parameters:

name - a String object

Returns:

This variable.

determines

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

Returns true if y is determined the variable in z.

Specified by:

determines in interface IndependenceTest

Parameters:

z - a Set object

y - a Node object

Returns:

True, if so.

getAlpha

public double getAlpha()

Returns the significance level of the independence test.

Specified by:

getAlpha in interface IndependenceTest

Returns:

This level.

setAlpha

public void setAlpha(double alpha)

Sets the significance level.

Specified by:

setAlpha in interface IndependenceTest

Parameters:

alpha - This level.

getData

public DataModel getData()

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

getH

public Map<IndependenceFact,Double> getH()

getH.

Returns:

a Map object

getPosterior

public double getPosterior()

Getter for the field posterior.

Returns:

a double

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.