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Showing content from http://accord-framework.net/docs/html/T_Accord_Statistics_Testing_McNemarTest.htm below:

McNemar test of homogeneity for 2 x 2 contingency tables.

Accord.Statistics (in Accord.Statistics.dll) Version: 3.8.0

[SerializableAttribute]
public class McNemarTest : ChiSquareTest

<SerializableAttribute>
Public Class McNemarTest
	Inherits ChiSquareTest

The McNemarTest type exposes the following members.

Computes the Chi-Square Test.

Determines whether the specified object is equal to the current object.

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Serves as the default hash function.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Called whenever the test

changes.

Converts a given p-value to a test statistic.

Converts a given test statistic to a p-value.

Converts the numeric P-Value of this test to its equivalent string representation.

Converts the numeric P-Value of this test to its equivalent string representation.

Checks whether an object implements a method with the given name.

Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices.

Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.

Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime.

McNemar's test is a non-parametric method used on nominal data. It is applied to 2 × 2 contingency tables with a dichotomous trait, with matched pairs of subjects, to determine whether the row and column marginal frequencies are equal, i.e. if the contingency table presents marginal homogeneity.

This is a Chi-square kind of test.

References:

• Wikipedia contributors, "McNemar's test," Wikipedia, The Free Encyclopedia, Available on: http://http://en.wikipedia.org/wiki/McNemar's_test.

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