Package edu.cmu.tetrad.search.utils

Interface TetradTest

All Known Implementing Classes:

TetradTestContinuous, TetradTestDiscrete, TetradTestPopulation

public interface TetradTest

Provides an interface for classes that test tetrad constraints. For the continuous case, we have a variety of tests, including a distribution-free one (which may not be currently practical when the number of variables is too large).

Author:

Ricardo Silva

Method Summary

Modifier and Type	Method	Description
ICovarianceMatrix	getCovMatrix()
DataSet	getDataSet()
double	getSignificance()
List<Node>	getVariables()
String[]	getVarNames()
boolean	oneFactorTest(int a, int b, int c, int d)
boolean	oneFactorTest(int a, int b, int c, int d, int e)
void	setSignificance(double sig)
boolean	tetradHolds(int i, int j, int k, int q)
double	tetradPValue(int i, int j, int k, int q)
int	tetradScore(int i, int j, int k, int q)
boolean	tetradScore1(int i, int j, int k, int q)
boolean	tetradScore3(int i, int j, int k, int q)
boolean	twoFactorTest(int a, int b, int c, int d)
boolean	twoFactorTest(int a, int b, int c, int d, int e)
boolean	twoFactorTest(int a, int b, int c, int d, int e, int f)

Method Details

getDataSet

DataSet getDataSet()

tetradScore

int tetradScore(int i,
 int j,
 int k,
 int q)

tetradScore3

boolean tetradScore3(int i,
 int j,
 int k,
 int q)

tetradScore1

boolean tetradScore1(int i,
 int j,
 int k,
 int q)

tetradHolds

boolean tetradHolds(int i,
 int j,
 int k,
 int q)

tetradPValue

double tetradPValue(int i,
 int j,
 int k,
 int q)

oneFactorTest

boolean oneFactorTest(int a,
 int b,
 int c,
 int d)

oneFactorTest

boolean oneFactorTest(int a,
 int b,
 int c,
 int d,
 int e)

twoFactorTest

boolean twoFactorTest(int a,
 int b,
 int c,
 int d)

twoFactorTest

boolean twoFactorTest(int a,
 int b,
 int c,
 int d,
 int e)

twoFactorTest

boolean twoFactorTest(int a,
 int b,
 int c,
 int d,
 int e,
 int f)

getSignificance

double getSignificance()

setSignificance

void setSignificance(double sig)

getVarNames

String[] getVarNames()

getVariables

List<Node> getVariables()

getCovMatrix

ICovarianceMatrix getCovMatrix()