Package edu.cmu.tetrad.algcomparison.statistic

Class MarkovCheckBinomialPBestOf10

java.lang.Object

edu.cmu.tetrad.algcomparison.statistic.MarkovCheckBinomialPBestOf10

All Implemented Interfaces:

Statistic, Serializable

public class MarkovCheckBinomialPBestOf10
extends Object
implements Statistic

Represents a markov check statistic that calculates the Binomial P value for whether the p-values for the estimated graph are distributed as U(0, 1). This version reports the best p-value out of 10 repetitions.

Author:

josephramsey

See Also:

• Serialized Form

Constructor Summary

Constructors

Constructor	Description
MarkovCheckBinomialPBestOf10(IndependenceWrapper independenceWrapper, ConditioningSetType conditioningSetType)	Calculates the Kolmogorov-Smirnoff P value for the Markov check of whether the p-values for the estimated graph are distributed as U(0, 1).

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 Binomial P value for the Markov check of whether the p-values for the estimated graph are distributed as U(0, 1).

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

MarkovCheckBinomialPBestOf10

public MarkovCheckBinomialPBestOf10(IndependenceWrapper independenceWrapper,
 ConditioningSetType conditioningSetType)

Calculates the Kolmogorov-Smirnoff P value for the Markov check of whether the p-values for the estimated graph are distributed as U(0, 1).

Parameters:

independenceWrapper - An instance of IndependenceWrapper used to encapsulate and perform independence tests on the dataset with specific configurations.

conditioningSetType - The type of conditioning set employed during Markov checks, represented by the ConditioningSetType enum; this dictates how variables are conditioned in independence tests.

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 Binomial P value for the Markov check of whether the p-values for the estimated graph are distributed as U(0, 1).

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 Binomial P value.

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.