Package edu.cmu.tetrad.search.test

Class IndTestConditionalCorrelation

java.lang.Object

edu.cmu.tetrad.search.test.IndTestConditionalCorrelation

All Implemented Interfaces:

IndependenceTest, RowsSettable

public final class IndTestConditionalCorrelation
extends Object
implements IndependenceTest, RowsSettable

Checks conditional independence of variable in a continuous data set using a conditional correlation test for the nonlinear nonGaussian with the additive error case. This is for additive (but otherwise general) models.

Version:

$Id: $Id

Author:

josephramsey

Constructor Summary

Constructors

Constructor	Description
IndTestConditionalCorrelation(DataSet dataSet, double alpha, double scalingFactor, int basisType, int numFunctions, double basisScale)	Constructs a new Independence test which checks independence facts based on the correlation data implied by the given data set (must be continuous).

Method Summary

Modifier and Type	Method	Description
IndependenceResult	checkIndependence(Node x, Node y, Set<Node> z)	Checks the independence of x _||_ y | z
double	getAlpha()	Returns the model significance level.
DataSet	getData()	Returns the data set being analyzed.
List<Integer>	getRows()	Returns the number of orthogonal functions used to do the calculations.
List<Node>	getVariables()	Returns the list of variables over which this independence checker is capable of determining independence relations-- that is, all the variables in the given graph or the given data set.
IndependenceTest	indTestSubset(List<Node> vars)	Constructs a new Independence test which checks independence facts based on the correlation data implied by the given data set (must be continuous).
boolean	isVerbose()	Returns true if verbose output should be printed.
void	setRows(List<Integer> rows)	Sets the rows to use for the test.
void	setVerbose(boolean verbose)	Sets whether verbose output should be printed.
String	toString()	Returns a string representation of this test.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface edu.cmu.tetrad.search.IndependenceTest

checkIndependence, determines, getCov, getDataSets, getSampleSize, getVariable, getVariableNames, setAlpha

Constructor Details

IndTestConditionalCorrelation

public IndTestConditionalCorrelation(DataSet dataSet,
 double alpha,
 double scalingFactor,
 int basisType,
 int numFunctions,
 double basisScale)

Constructs a new Independence test which checks independence facts based on the correlation data implied by the given data set (must be continuous). The given significance level is used.

Parameters:

dataSet - A data set containing only continuous columns.

alpha - The q level of the test.

basisScale -

Method Details

indTestSubset

public IndependenceTest indTestSubset(List<Node> vars)

Constructs a new Independence test which checks independence facts based on the correlation data implied by the given data set (must be continuous). The given significance level is used.

Specified by:

indTestSubset in interface IndependenceTest

Parameters:

vars - The sublist of variables.

Returns:

a IndependenceTest object

checkIndependence

public IndependenceResult checkIndependence(Node x,
 Node y,
 Set<Node> z)

Checks the independence of x _||_ y | z

Specified by:

checkIndependence in interface IndependenceTest

Parameters:

x - a Node object

y - a Node object

z - a Set object

Returns:

a IndependenceResult object

See Also:

• IndependenceResult

getAlpha

public double getAlpha()

Returns the model significance level.

Specified by:

getAlpha in interface IndependenceTest

Returns:

This level.

getVariables

public List<Node> getVariables()

Returns the list of variables over which this independence checker is capable of determining independence relations-- that is, all the variables in the given graph or the given data set.

Specified by:

getVariables in interface IndependenceTest

Returns:

This list.

getData

public DataSet getData()

Returns the data set being analyzed.

Specified by:

getData in interface IndependenceTest

Returns:

This dataset.

See Also:

• DataSet
• ICovarianceMatrix
• DataModel

toString

public String toString()

Returns a string representation of this test.

Specified by:

toString in interface IndependenceTest

Overrides:

toString in class Object

Returns:

This string.

isVerbose

public boolean isVerbose()

Returns true if verbose output should be printed.

Specified by:

isVerbose in interface IndependenceTest

Returns:

True if the case.

setVerbose

public void setVerbose(boolean verbose)

Sets whether verbose output should be printed.

Specified by:

setVerbose in interface IndependenceTest

Parameters:

verbose - True, if so.

getRows

public List<Integer> getRows()

Returns the number of orthogonal functions used to do the calculations. The sets used are the polynomial basis functions, x, x^2, x^3, etc. This choice is made to allow for more flexible domains of the functions after standardization.

Specified by:

getRows in interface RowsSettable

Returns:

This number.

setRows

public void setRows(List<Integer> rows)

Sets the rows to use for the test.

Specified by:

setRows in interface RowsSettable

Parameters:

rows - The rows.