Package edu.cmu.tetrad.search.test

Class IndTestDegenerateGaussianLrt

java.lang.Object

edu.cmu.tetrad.search.test.IndTestDegenerateGaussianLrt

All Implemented Interfaces:

IndependenceTest

public class IndTestDegenerateGaussianLrt
extends Object
implements IndependenceTest

Implements degenerate Gaussian test as a likelihood ratio test. The reference is here:

Andrews, B., Ramsey, J., & Cooper, G. F. (2019, July). Learning high-dimensional directed acyclic graphs with mixed data-types. In The 2019 ACM SIGKDD Workshop on Causal Discovery (pp. 4-21). PMLR.

Version:

$Id: $Id

Author:

Bryan Andrews, Joseph Ramsey refactoring 2024-12-26

Constructor Summary

Constructors

Constructor	Description
IndTestDegenerateGaussianLrt(DataSet dataSet)	Constructs the test using the given (mixed) data set.

Method Summary

Modifier and Type	Method	Description
IndependenceResult	checkIndependence(Node x, Node y, Set<Node> z)	Tests for the conditional independence of two nodes given a set of conditioning nodes.
double	getAlpha()	Returns the significance level of the independence test.
DataSet	getData()	Returns a copy of the dataset being analyzed.
double	getPValue()	Returns the probability associated with the most recently executed independence test, of Double.NaN if p value is not meaningful for this test.
List<Node>	getVariables()	Returns the list of variables over which this independence checker is capable of determinining independence relations.
IndependenceTest	indTestSubset(List<Node> vars)	Subsets the variables used in the independence test.
boolean	isVerbose()	Returns true iff verbose output should be printed.
void	setAlpha(double alpha)	Sets the significance level.
void	setLambda(double lambda)	Sets the lambda value 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

Constructor Details

IndTestDegenerateGaussianLrt

public IndTestDegenerateGaussianLrt(DataSet dataSet)

Constructs the test using the given (mixed) data set.

Parameters:

dataSet - The data being analyzed.

Method Details

indTestSubset

public IndependenceTest indTestSubset(List<Node> vars)

Subsets the variables used in the independence test.

Specified by:

indTestSubset in interface IndependenceTest

Parameters:

vars - The sublist of variables.

Returns:

The IndependenceTest object with subset of variables.

Throws:

UnsupportedOperationException - if the method is not implemented.

checkIndependence

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

Tests for the conditional independence of two nodes given a set of conditioning nodes.

Specified by:

checkIndependence in interface IndependenceTest

Parameters:

x - The first variable to test, represented as a Node object.

y - The second variable to test, represented as a Node object.

z - The set of conditioning variables, represented as a Set of Node objects.

Returns:

An IndependenceResult object representing the outcome of the independence test.

getPValue

public double getPValue()

Returns the probability associated with the most recently executed independence test, of Double.NaN if p value is not meaningful for this test.

Returns:

This p-value.

getVariables

public List<Node> getVariables()

Returns the list of variables over which this independence checker is capable of determinining independence relations.

Specified by:

getVariables in interface IndependenceTest

Returns:

This list.

getAlpha

public double getAlpha()

Returns the significance level of the independence test.

Specified by:

getAlpha in interface IndependenceTest

Returns:

this level, default 0.01.

setAlpha

public void setAlpha(double alpha)

Sets the significance level.

Specified by:

setAlpha in interface IndependenceTest

Parameters:

alpha - This level.

getData

public DataSet getData()

Returns a copy of the dataset being analyzed.

Specified by:

getData in interface IndependenceTest

Returns:

This data.

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 iff 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.

setLambda

public void setLambda(double lambda)

Sets the lambda value for the test.

Parameters:

lambda - The singularity lambda parameter to be used in the independence test.