Package edu.cmu.tetrad.algcomparison.statistic

Class PagAdjacencyPrecision

java.lang.Object

edu.cmu.tetrad.algcomparison.statistic.PagAdjacencyPrecision

All Implemented Interfaces:

Statistic, Serializable

public class PagAdjacencyPrecision
extends Object
implements Statistic

The PagAdjacencyPrecision class implements the Statistic interface and represents the adjacency precision compared to the true PAG (Partially Ancestral Graph).

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
PagAdjacencyPrecision()	Constructs a new instance of the statistic.

Method Summary

Modifier and Type	Method	Description
String	getAbbreviation()	Retrieves the abbreviation for the statistic.
String	getDescription()	Returns a short one-line description of this statistic.
double	getNormValue(double value)	Retrieves the normalized value of a given statistic.
double	getValue(Graph trueGraph, Graph estGraph, DataModel dataModel)	Calculates the adjacency precision of the estimated graph compared to the true graph.

Methods inherited from class java.lang.Object

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

Constructor Details

PagAdjacencyPrecision

public PagAdjacencyPrecision()

Constructs a new instance of the statistic.

Method Details

getAbbreviation

public String getAbbreviation()

Retrieves the abbreviation for the statistic.

Specified by:

getAbbreviation in interface Statistic

Returns:

The abbreviation for the statistic.

getDescription

public String getDescription()

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:

The description of the statistic.

getValue

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

Calculates the adjacency precision of the estimated graph compared to the true graph.

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 adjacency precision value.

getNormValue

public double getNormValue(double value)

Retrieves the normalized value of a given statistic.

Specified by:

getNormValue in interface Statistic

Parameters:

value - The value of the statistic.

Returns:

The normalized value of the statistic.