Package edu.cmu.tetrad.algcomparison.statistic

Class BicTrue

java.lang.Object

edu.cmu.tetrad.algcomparison.statistic.BicTrue

All Implemented Interfaces:

Statistic, Serializable

public class BicTrue
extends Object
implements Statistic

True BIC score. The BIC is calculated as 2L - k ln N, so "higher is better."

Author:

josephramsey

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
BicTrue()

Method Summary

Modifier and Type	Method	Description
String	getAbbreviation()	No-arg constructor.
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 whether to precompute covariances.

Methods inherited from class java.lang.Object

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

Constructor Details

BicTrue

public BicTrue()

Method Details

getAbbreviation

public String getAbbreviation()

No-arg constructor. Used for reflection; do not delete.

Specified by:

getAbbreviation in interface Statistic

Returns:

Thsi abbreviation.

getDescription

public String getDescription()

Returns the description of the statistic.

Specified by:

getDescription in interface Statistic

Returns:

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 whether to precompute covariances.

Parameters:

precomputeCovariances - whether to precompute covariances.