Package edu.cmu.tetrad.algcomparison.statistic

Class AncestralPrecision

java.lang.Object

edu.cmu.tetrad.algcomparison.statistic.AncestralPrecision

All Implemented Interfaces:

Statistic, Serializable

public class AncestralPrecision
extends Object
implements Statistic

The bidirected true positives.

Author:

josephramsey

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
AncestralPrecision()	Constructs the statistic.

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 norm value of the statistic.
double	getValue(Graph trueGraph, Graph estGraph, DataModel dataModel)	Calculates the statistic.

Methods inherited from class java.lang.Object

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

Constructor Details

AncestralPrecision

public AncestralPrecision()

Constructs the statistic.

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)

Calculates 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 statistic

getNormValue

public double getNormValue(double value)

Returns the norm value of the statistic.

Specified by:

getNormValue in interface Statistic

Parameters:

value - The value of the statistic.

Returns:

the value of the statistic