Package edu.cmu.tetrad.algcomparison.statistic

Class IdaMinimumSquaredDifference

java.lang.Object

edu.cmu.tetrad.algcomparison.statistic.IdaMinimumSquaredDifference

All Implemented Interfaces:

Statistic, Serializable

public class IdaMinimumSquaredDifference
extends Object
implements Statistic

IdaMinimumSquaredDifference is a statistic that calculates the "IDA Average Minimum Squared Difference" between a true graph and an estimated graph. It implements the Statistic interface.

This is the average of the minimum squared difference between the true and estimated total effects for each pair of variables.

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
IdaMinimumSquaredDifference(SemIm semIm)	Constructs an instance of the IdaMinimumSquaredDifference class with the specified SEM IM.

Method Summary

Modifier and Type	Method	Description
String	getAbbreviation()	Retrieves the abbreviation for the statistic.
String	getDescription()	Retrieves the description for this statistic.
double	getNormValue(double value)	Returns a normalized value of the statistic.
double	getValue(Graph trueGraph, Graph estGraph, DataModel dataModel)	Calculates the value of the statistic "IDA Average Minimum Squared Difference".

Methods inherited from class java.lang.Object

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

Constructor Details

IdaMinimumSquaredDifference

public IdaMinimumSquaredDifference(SemIm semIm)

Constructs an instance of the IdaMinimumSquaredDifference class with the specified SEM IM.

Parameters:

semIm - the SEM IM representing the true model.

Method Details

getAbbreviation

public String getAbbreviation()

Retrieves the abbreviation for the statistic. This abbreviation 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()

Retrieves the description for this statistic.

Specified by:

getDescription in interface Statistic

Returns:

The description for this statistic.

getValue

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

Calculates the value of the statistic "IDA Average Minimum Squared Difference".

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 a 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.