Package edu.cmu.tetrad.search.utils

Class TetradTestPopulation

java.lang.Object

edu.cmu.tetrad.search.utils.TetradTestPopulation

All Implemented Interfaces:

TetradTest

public class TetradTestPopulation
extends Object
implements TetradTest

Implements a test of tetrad constraints in a known correlation matrix. It might be useful for debugging BuildPureClusters/Purify-like algorithm.

Author:

Ricardo Silva

Constructor Summary

Constructors

Constructor	Description
TetradTestPopulation(CorrelationMatrix CorrelationMatrix)

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 v1, int v2, int v3, int v4)
double	tetradPValue(int v1, int v2, int v3, int v4)
int	tetradScore(int v1, int v2, int v3, int v4)	Population scores: assumes CorrelationMatrix is the population covariance CorrelationMatrix.
boolean	tetradScore1(int v1, int v2, int v3, int v4)
boolean	tetradScore3(int v1, int v2, int v3, int v4)
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)

Methods inherited from class java.lang.Object

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

Constructor Details

TetradTestPopulation

public TetradTestPopulation(CorrelationMatrix CorrelationMatrix)

Method Details

getVarNames

public String[] getVarNames()

Specified by:

getVarNames in interface TetradTest

getVariables

public List<Node> getVariables()

Specified by:

getVariables in interface TetradTest

getDataSet

public DataSet getDataSet()

Specified by:

getDataSet in interface TetradTest

tetradScore

public int tetradScore(int v1,
 int v2,
 int v3,
 int v4)

Population scores: assumes CorrelationMatrix is the population covariance CorrelationMatrix. Due to numerical rounding problems, we need a parameter epsilon to control it. Nothing here is implemented for discrete data (yet).

Specified by:

tetradScore in interface TetradTest

tetradScore3

public boolean tetradScore3(int v1,
 int v2,
 int v3,
 int v4)

Specified by:

tetradScore3 in interface TetradTest

tetradScore1

public boolean tetradScore1(int v1,
 int v2,
 int v3,
 int v4)

Specified by:

tetradScore1 in interface TetradTest

tetradHolds

public boolean tetradHolds(int v1,
 int v2,
 int v3,
 int v4)

Specified by:

tetradHolds in interface TetradTest

oneFactorTest

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

Specified by:

oneFactorTest in interface TetradTest

oneFactorTest

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

Specified by:

oneFactorTest in interface TetradTest

twoFactorTest

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

Specified by:

twoFactorTest in interface TetradTest

twoFactorTest

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

Specified by:

twoFactorTest in interface TetradTest

twoFactorTest

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

Specified by:

twoFactorTest in interface TetradTest

tetradPValue

public double tetradPValue(int v1,
 int v2,
 int v3,
 int v4)

Specified by:

tetradPValue in interface TetradTest

getSignificance

public double getSignificance()

Specified by:

getSignificance in interface TetradTest

setSignificance

public void setSignificance(double sig)

Specified by:

setSignificance in interface TetradTest

getCovMatrix

public ICovarianceMatrix getCovMatrix()

Specified by:

getCovMatrix in interface TetradTest