Package edu.cmu.tetrad.algcomparison.statistic

Class BicDiff

java.lang.Object

edu.cmu.tetrad.algcomparison.statistic.BicDiff

All Implemented Interfaces:

Statistic, Serializable

public class BicDiff
extends Object
implements Statistic

Difference between the true and estiamted BIC scores. The BIC is calculated as 2L - k ln N, so "higher is better."

Author:

josephramsey

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
BicDiff()

Method Summary

Modifier and Type	Method	Description
String	getAbbreviation()	Returns the name of the statistic.
String	getDescription()	Returns the description of the statistic.
double	getNormValue(double value)	Returns the normalized value of the statistic.
double	getValue(Graph trueGraph, Graph estGraph, DataModel dataModel)	Returns the value of the statistic.
void	setPrecomputeCovariances(boolean precomputeCovariances)	Returns the precompute covariances flag.

Methods inherited from class java.lang.Object

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

Constructor Details

BicDiff

public BicDiff()

Method Details

getAbbreviation

public String getAbbreviation()

Returns the name of the statistic.

Specified by:

getAbbreviation in interface Statistic

Returns:

the name of the statistic.

getDescription

public String getDescription()

Returns the description of the statistic.

Specified by:

getDescription in interface Statistic

Returns:

the description of the statistic.

getValue

public double getValue(Graph trueGraph,
 Graph estGraph,
 DataModel dataModel)

Returns the value of the statistic.

Specified by:

getValue in interface Statistic

Parameters:

trueGraph - The true graph (DAG, CPDAG, PAG_of_the_true_DAG).

estGraph - The estimated graph (same type).

dataModel - The data model.

Returns:

The value of the statistic.

getNormValue

public double getNormValue(double value)

Returns the normalized value of the statistic.

Specified by:

getNormValue in interface Statistic

Parameters:

value - The value of the statistic.

Returns:

The normalized value of the statistic.

setPrecomputeCovariances

public void setPrecomputeCovariances(boolean precomputeCovariances)

Returns the precompute covariances flag.

Parameters:

precomputeCovariances - The precompute covariances flag.