Package edu.cmu.tetrad.data

Enum Class UnmixSpec.SupersetScore

java.lang.Object

java.lang.Enum<UnmixSpec.SupersetScore>

edu.cmu.tetrad.data.UnmixSpec.SupersetScore

All Implemented Interfaces:

Serializable, Comparable<UnmixSpec.SupersetScore>, Constable

Enclosing class:

UnmixSpec

public static enum UnmixSpec.SupersetScore
extends Enum<UnmixSpec.SupersetScore>

The SupersetScore enum represents statistical ranking correlation coefficients that can be used to assess the relationship between two rankings.

This enum can be utilized in various data analysis contexts where correlation between ranked data is required.

Nested Class Summary

Nested classes/interfaces inherited from class java.lang.Enum

Enum.EnumDesc<E extends Enum<E>>

Enum Constant Summary

Enum Constants

Enum Constant	Description
KENDALL	Represents Kendall's tau coefficient, a measure of ordinal association between two ranked variables.
SPEARMAN	Represents Spearman's rank-order correlation coefficient, a non-parametric measure of the monotonic relationship between two ranked variables.

Method Summary

Modifier and Type	Method	Description
static UnmixSpec.SupersetScore	valueOf(String name)	Returns the enum constant of this class with the specified name.
static UnmixSpec.SupersetScore[]	values()	Returns an array containing the constants of this enum class, in the order they are declared.

Methods inherited from class java.lang.Enum

compareTo, describeConstable, equals, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Details

KENDALL

public static final UnmixSpec.SupersetScore KENDALL

Represents Kendall's tau coefficient, a measure of ordinal association between two ranked variables. It evaluates the strength and direction of association, focusing on concordant and discordant pairs of rankings.

SPEARMAN

public static final UnmixSpec.SupersetScore SPEARMAN

Represents Spearman's rank-order correlation coefficient, a non-parametric measure of the monotonic relationship between two ranked variables. Spearman's coefficient assesses how well the relationship between two variables can be described using a monotonic function, making it suitable for ordinal data or data that do not meet the assumptions of parametric correlation methods.

Method Details

values

public static UnmixSpec.SupersetScore[] values()

Returns an array containing the constants of this enum class, in the order they are declared.

Returns:

an array containing the constants of this enum class, in the order they are declared

valueOf

public static UnmixSpec.SupersetScore valueOf(String name)

Returns the enum constant of this class with the specified name. The string must match exactly an identifier used to declare an enum constant in this class. (Extraneous whitespace characters are not permitted.)

Parameters:

name - the name of the enum constant to be returned.

Returns:

the enum constant with the specified name

Throws:

IllegalArgumentException - if this enum class has no constant with the specified name

NullPointerException - if the argument is null