Package edu.cmu.tetrad.algcomparison.statistic

Class IdaCheckAvgMinSquaredDiffEstTrue

java.lang.Object

edu.cmu.tetrad.algcomparison.statistic.IdaCheckAvgMinSquaredDiffEstTrue

All Implemented Interfaces:

Statistic, Serializable

public class IdaCheckAvgMinSquaredDiffEstTrue
extends Object
implements Statistic

Represents a statistic that calculates the average minimum squared difference between the estimated and true values for a given data model and graphs.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
IdaCheckAvgMinSquaredDiffEstTrue()	Calculates the average minimum squared difference between the estimated and true values for a given data model and graphs.

Method Summary

Modifier and Type	Method	Description
String	getAbbreviation()	Returns the abbreviation for the statistic.
String	getDescription()	Returns a short one-line description of this statistic.
double	getNormValue(double value)	Calculates the normalized value of a statistic.
double	getValue(Graph trueGraph, Graph estGraph, DataModel dataModel, Parameters parameters)	Calculates the average minimum squared difference between the estimated and true values for a given data model and graphs.

Methods inherited from class java.lang.Object

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

Methods inherited from interface edu.cmu.tetrad.algcomparison.statistic.Statistic

getValue, getValue, getValue

Constructor Details

IdaCheckAvgMinSquaredDiffEstTrue

public IdaCheckAvgMinSquaredDiffEstTrue()

Calculates the average minimum squared difference between the estimated and true values for a given data model and graphs.

Method Details

getAbbreviation

public String getAbbreviation()

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

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,
 Parameters parameters)

Calculates the average minimum squared difference between the estimated and true values for a given data model and graphs.

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.

parameters - The parameters

Returns:

The average minimum squared difference between the estimated and true values.

Throws:

IllegalArgumentException - if the data model is null.

getNormValue

public double getNormValue(double value)

Calculates the normalized value of a statistic.

Specified by:

getNormValue in interface Statistic

Parameters:

value - The value of the statistic.

Returns:

The normalized value of the statistic.