Package edu.cmu.tetrad.search

Class GSquareTest

java.lang.Object

edu.cmu.tetrad.search.GSquareTest

public final class GSquareTest
extends Object

Performs conditional independence tests of discrete data using the G Square method. Degrees of freedom are calculated as in Fienberg, The Analysis of Cross-Classified Categorical Data, 2nd Edition, 142.

Author:

Frank Wimberly original version, Joseph Ramsey revision 10/01

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static final class	GSquareTest.Result	Simple class to store the parameters of the result returned by the G Square test.

Constructor Summary

Constructors

Constructor	Description
GSquareTest(DataSet dataSet, double alpha)

Method Summary

Modifier and Type	Method	Description
GSquareTest.Result	calcGSquare(int[] testIndices)	Calculates g square for a conditional crosstabulation table for independence question 0 _||_ 1 | 2, 3, ...max by summing up g square and degrees of freedom for each conditional table in turn, where rows or columns that consist entirely of zeros have been removed.
double	getAlpha()
CellTable	getCellTable()
DataSet	getDataSet()
int[]	getDims()
boolean	isDetermined(int[] testIndices, double p)
int[]	selectFromArray(int[] arr, int[] indices)
void	setAlpha(double alpha)	Sets the significance level to be used for tests.

Methods inherited from class java.lang.Object

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

Constructor Details

GSquareTest

public GSquareTest(DataSet dataSet,
 double alpha)

Method Details

calcGSquare

public GSquareTest.Result calcGSquare(int[] testIndices)

Calculates g square for a conditional crosstabulation table for independence question 0 _||_ 1 | 2, 3, ...max by summing up g square and degrees of freedom for each conditional table in turn, where rows or columns that consist entirely of zeros have been removed.

getDims

public int[] getDims()

getCellTable

public CellTable getCellTable()

getAlpha

public double getAlpha()

Returns:

the getModel significance level being used for tests.

setAlpha

public void setAlpha(double alpha)

Sets the significance level to be used for tests.

selectFromArray

public int[] selectFromArray(int[] arr,
 int[] indices)

getDataSet

public DataSet getDataSet()

isDetermined

public boolean isDetermined(int[] testIndices,
 double p)