Package edu.cmu.tetrad.search.work_in_progress

Class MnlrScore

java.lang.Object

edu.cmu.tetrad.search.work_in_progress.MnlrScore

All Implemented Interfaces:

Score

public class MnlrScore
extends Object
implements Score

Implements a mixed variable polynomial BIC score for fGES.

As for all scores in Tetrad, higher scores mean more dependence, and negative scores indicate independence.

Version:

$Id: $Id

Author:

Bryan Andrews

Constructor Summary

Constructors

Constructor	Description
MnlrScore(DataSet dataSet, double structurePrior, int fDegree)	Constructor.

Method Summary

Modifier and Type	Method	Description
int	getMaxDegree()	Returns the max degree, by default 1000.
int	getSampleSize()	Returns the sample size.
List<Node>	getVariables()	The variables of the score.
boolean	isEffectEdge(double bump)	Returns true iff the edge between x and y is an effect edge.
double	localScore(int i, int... parents)	The local score of the child given its parents.
double	localScoreDiff(int x, int y, int[] z)	localScore(y | z, x) - localScore(y | z).

Methods inherited from class java.lang.Object

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

Methods inherited from interface edu.cmu.tetrad.search.score.Score

append, determines, getVariable, localScore, localScore, localScoreDiff, toString

Constructor Details

MnlrScore

public MnlrScore(DataSet dataSet,
 double structurePrior,
 int fDegree)

Constructor.

Parameters:

dataSet - The mixed dataset being analyzed.

structurePrior - The structure prior

fDegree - The f degree.

Method Details

localScore

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

The local score of the child given its parents.

Specified by:

localScore in interface Score

Parameters:

i - a int

parents - a int

Returns:

a double

localScoreDiff

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

localScore(y | z, x) - localScore(y | z).

Specified by:

localScoreDiff in interface Score

Parameters:

x - a int

y - a int

z - an array of int objects

Returns:

a double

getSampleSize

public int getSampleSize()

Returns the sample size.

Specified by:

getSampleSize in interface Score

Returns:

This size.

isEffectEdge

public boolean isEffectEdge(double bump)

Returns true iff the edge between x and y is an effect edge.

A method for FGES returning a judgment of whether an edge with a given bump counts as a effect edge.

Specified by:

isEffectEdge in interface Score

Parameters:

bump - The bump.

Returns:

True iff the edge between x and y is an effect edge.

See Also:

• Fges

getVariables

public List<Node> getVariables()

The variables of the score.

Returns the variables.

Specified by:

getVariables in interface Score

Returns:

This list.

getMaxDegree

public int getMaxDegree()

Returns the max degree, by default 1000.

Returns a maximum degree used by some algorithms.

Specified by:

getMaxDegree in interface Score

Returns:

The max degree.