Class IndTestMultinomialLogisticRegression
java.lang.Object
edu.cmu.tetrad.search.work_in_progress.IndTestMultinomialLogisticRegression
- All Implemented Interfaces:
IndependenceTest
Performs a test of conditional independence X _||_ Y | Z1...Zn where all searchVariables are either continuous or
discrete. This test is valid for both ordinal and non-ordinal discrete searchVariables.
This logisticRegression makes multiple assumptions: 1. IIA 2. Large sample size (multiple regressions needed on subsets of sample)
- Author:
- josephramsey, Augustus Mayo.
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptioncheckIndependence
(Node x, Node y, Set<Node> z) boolean
determines
(List<Node> z, Node y) double
getAlpha()
Returns the significance level of the independence test.getData()
double
indTestSubset
(List<Node> vars) Returns an Independence test for a sublist of the variables.boolean
Returns true if the test prints verbose output.void
setAlpha
(double alpha) Sets the significance level.void
setVerbose
(boolean verbose) Sets whether this test will print verbose output.toString()
Returns a string representation of this test.Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
Methods inherited from interface edu.cmu.tetrad.search.IndependenceTest
checkIndependence, determines, getCov, getDataSets, getSampleSize, getVariable, getVariableNames
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Constructor Details
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IndTestMultinomialLogisticRegression
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Method Details
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indTestSubset
Description copied from interface:IndependenceTest
Returns an Independence test for a sublist of the variables.- Specified by:
indTestSubset
in interfaceIndependenceTest
- Parameters:
vars
- The sublist of variables.- Returns:
- an Independence test for a subset of the searchVariables.
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checkIndependence
- Specified by:
checkIndependence
in interfaceIndependenceTest
- Returns:
- true if the given independence question is judged true, false if not. The independence question is of the form x _||_ y | z, z = [z1,...,zn], where x, y, z1,...,zn are searchVariables in the list returned by getVariableNames().
- See Also:
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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 tis test.
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getVariables
- Specified by:
getVariables
in interfaceIndependenceTest
- Returns:
- the list of searchVariables over which this independence checker is capable of determinining independence relations.
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determines
- Returns:
- true if y is determined the variable in z.
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getAlpha
public double getAlpha()Description copied from interface:IndependenceTest
Returns the significance level of the independence test.- Specified by:
getAlpha
in interfaceIndependenceTest
- Returns:
- the significance level of the independence test.
- Throws:
UnsupportedOperationException
- if there is no significance level.
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setAlpha
public void setAlpha(double alpha) Sets the significance level.- Specified by:
setAlpha
in interfaceIndependenceTest
- Parameters:
alpha
- This level.
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getData
- Specified by:
getData
in interfaceIndependenceTest
- Returns:
- The data model for the independence test, either a DataSet or a CovarianceMatrix.
- See Also:
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toString
Description copied from interface:IndependenceTest
Returns a string representation of this test.- Specified by:
toString
in interfaceIndependenceTest
- Overrides:
toString
in classObject
- Returns:
- a string representation of this test.
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isVerbose
public boolean isVerbose()Description copied from interface:IndependenceTest
Returns true if the test prints verbose output.- Specified by:
isVerbose
in interfaceIndependenceTest
- Returns:
- True if the case.
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setVerbose
public void setVerbose(boolean verbose) Description copied from interface:IndependenceTest
Sets whether this test will print verbose output.- Specified by:
setVerbose
in interfaceIndependenceTest
- Parameters:
verbose
- True, if so.
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