Package edu.cmu.tetrad.search

Class KimEtAlScores

java.lang.Object

edu.cmu.tetrad.search.KimEtAlScores

All Implemented Interfaces:

Score

public class KimEtAlScores
extends Object
implements Score

Implements the continuous BIC score for FGES.

Author:

Joseph Ramsey

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static enum	KimEtAlScores.RuleType

Constructor Summary

Constructors

Constructor	Description
KimEtAlScores(DataSet dataSet)	Constructs the score using a covariance matrix.
KimEtAlScores(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.
DataSet	getDataSet()
int	getMaxDegree()
double	getPenaltyDiscount()
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	setLambda(double lambda)
void	setPenaltyDiscount(double penaltyDiscount)
void	setRuleType(KimEtAlScores.RuleType ruleType)
void	setVariables(List<Node> variables)
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

KimEtAlScores

public KimEtAlScores(ICovarianceMatrix covariances)

Constructs the score using a covariance matrix.

KimEtAlScores

public KimEtAlScores(DataSet dataSet)

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)

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.

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

getDataSet

public DataSet getDataSet()

isVerbose

public boolean isVerbose()

setVerbose

public void setVerbose(boolean verbose)

getVariables

public List<Node> getVariables()

Specified by:

getVariables in interface Score

setVariables

public void setVariables(List<Node> variables)

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

setRuleType

public void setRuleType(KimEtAlScores.RuleType ruleType)

setLambda

public void setLambda(double lambda)

getPenaltyDiscount

public double getPenaltyDiscount()

setPenaltyDiscount

public void setPenaltyDiscount(double penaltyDiscount)