Package edu.cmu.tetrad.algcomparison.statistic

Class BicDiffPerRecord

java.lang.Object

edu.cmu.tetrad.algcomparison.statistic.BicDiffPerRecord

All Implemented Interfaces:

Statistic, Serializable

public class BicDiffPerRecord
extends Object
implements Statistic

Difference between the true and estiamted BIC scores.

Author:

josephramsey

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
BicDiffPerRecord()

Method Summary

Modifier and Type	Method	Description
String	getAbbreviation()	The abbreviation for the statistic.
String	getDescription()	Returns a short one-line description of this statistic.
double	getNormValue(double value)	Returns the normalized value of the statistic.
double	getValue(Graph trueGraph, Graph estGraph, DataModel dataModel)	Returns the difference between the true and estimated BIC scores, divided by the sample size.
void	setPrecomputeCovariances(boolean precomputeCovariances)	Returns true if the covariances are precomputed.

Methods inherited from class java.lang.Object

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

Constructor Details

BicDiffPerRecord

public BicDiffPerRecord()

Method Details

getAbbreviation

public String getAbbreviation()

Description copied from interface: Statistic

The abbreviation for the statistic. This will be printed at the top of each column.

Specified by:

getAbbreviation in interface Statistic

Returns:

Thsi abbreviation.

getDescription

public String getDescription()

Description copied from interface: Statistic

Returns a short one-line description of this statistic. This will be printed at the beginning of the report.

Specified by:

getDescription in interface Statistic

Returns:

This description.

getValue

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

Returns the difference between the true and estimated BIC scores, divided by the sample size.

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 difference between the true and estimated BIC scores, divided by the sample size.

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 true if the covariances are precomputed.

Parameters:

precomputeCovariances - True if the covariances are precomputed.