Package edu.cmu.tetrad.search

Class EbicScore

java.lang.Object

edu.cmu.tetrad.search.EbicScore

All Implemented Interfaces:

Score

public class EbicScore
extends Object
implements Score

Implements the extended BIC score (Chen and Chen)..

Author:

Joseph Ramsey

Constructor Summary

Constructors

Constructor	Description
EbicScore(DataSet dataSet, boolean precomputeCovariances)	Constructs the score using a covariance matrix.
EbicScore(ICovarianceMatrix covariances)	Constructs the score using a covariance matrix.

Method Summary

Modifier and Type	Method	Description
boolean	determines(List<Node> z, Node y)
ICovarianceMatrix	getCovariances()	Specialized scoring method for a single parent.
DataModel	getData()
int	getMaxDegree()
static double	getP(int pn, int m0, double lambda)
int	getSampleSize()
List<Node>	getVariables()
boolean	isEffectEdge(double bump)
boolean	isVerbose()
double	localScore(int i, int... parents)
double	localScoreDiff(int x, int y, int[] z)
void	setGamma(double gamma)
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.Score

append, defaultScore, getVariable, localScore, localScore, localScoreDiff, toString

Constructor Details

EbicScore

public EbicScore(ICovarianceMatrix covariances)

Constructs the score using a covariance matrix.

EbicScore

public EbicScore(DataSet dataSet,
 boolean precomputeCovariances)

Constructs the score using a covariance matrix.

Method Details

localScoreDiff

public double localScoreDiff(int x,
 int y,
 int[] z)

Specified by:

localScoreDiff in interface Score

localScore

public double localScore(int i,
 int... parents)
                  throws RuntimeException

Specified by:

localScore in interface Score

Parameters:

i - The index of the node.

parents - The indices of the node's parents.

Returns:

The score, or NaN if the score cannot be calculated.

Throws:

RuntimeException

getP

public static double getP(int pn,
 int m0,
 double lambda)

getCovariances

public ICovarianceMatrix getCovariances()

Specialized scoring method for a single parent. Used to speed up the effect edges search.

getSampleSize

public int getSampleSize()

Specified by:

getSampleSize in interface Score

isEffectEdge

public boolean isEffectEdge(double bump)

Specified by:

isEffectEdge in interface Score

isVerbose

public boolean isVerbose()

setVerbose

public void setVerbose(boolean verbose)

getVariables

public List<Node> getVariables()

Specified by:

getVariables in interface Score

getMaxDegree

public int getMaxDegree()

Specified by:

getMaxDegree in interface Score

determines

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

Specified by:

determines in interface Score

getData

public DataModel getData()

setGamma

public void setGamma(double gamma)