Class IndTestFisherZRecursive
java.lang.Object
edu.cmu.tetrad.search.work_in_progress.IndTestFisherZRecursive
- All Implemented Interfaces:
IndependenceTest
Checks conditional independence of variable in a continuous data set using Fisher's Z test. See Spirtes, Glymour, and
Scheines, "Causation, Prediction and Search," 2nd edition, page 94.
- Author:
- josephramsey, Frank Wimberly adapted IndTestCramerT for Fisher's Z
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Constructor Summary
ConstructorsConstructorDescriptionIndTestFisherZRecursive(DataSet dataSet, double alpha) Constructs a new Independence test which checks independence facts based on the correlation matrix implied by the given data set (must be continuous).IndTestFisherZRecursive(ICovarianceMatrix covMatrix, double alpha) Constructs a new independence test that will determine conditional independence facts using the given correlation matrix and the given significance level.IndTestFisherZRecursive(Matrix data, List<Node> variables, double alpha) Constructs a new Fisher Z independence test with the listed arguments. -
Method Summary
Modifier and TypeMethodDescriptioncheckIndependence(Node x, Node y, List<Node> z) Determines whether variable x is independent of variable y given a list of conditioning variables z.booleandetermines(List<Node> z, Node x) IfisDeterminismAllowed(), deters to IndTestFisherZD; otherwise throws UnsupportedOperationException.doublegetAlpha()Gets the getModel significance level.getCov()Returns the covariance matrix.getData()Returns the datasets for this testdoubleintReturns the sample size.doublegetScore()Return A score that is higher with more likely models.getVariable(String name) Returns The variable by the given name.indTestSubset(List<Node> vars) Creates a new independence test instance for a subset of the variables.booleanReturns true if the test prints verbose output.voidsetAlpha(double alpha) Sets the significance level at which independence judgments should be made.voidsetVariables(List<Node> variables) voidsetVerbose(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, waitMethods inherited from interface edu.cmu.tetrad.search.test.IndependenceTest
checkIndependence, getVariableNames
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Constructor Details
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IndTestFisherZRecursive
Constructs a new Independence test which checks independence facts based on the correlation matrix 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 alpha level of the test.
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IndTestFisherZRecursive
Constructs a new Fisher Z independence test with the listed arguments.- Parameters:
data- A 2D continuous data set with no missing values.variables- A list of variables, a subset of the variables ofdata.alpha- The significance cutoff level. p values less than alpha will be reported as dependent.
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IndTestFisherZRecursive
Constructs a new independence test that will determine conditional independence facts using the given correlation matrix and the given significance level.
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Method Details
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indTestSubset
Creates a new independence test instance for a subset of the variables.- Specified by:
indTestSubsetin interfaceIndependenceTest- Parameters:
vars- The sublist of variables.
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checkIndependence
Determines whether variable x is independent of variable y given a list of conditioning variables z.- Specified by:
checkIndependencein interfaceIndependenceTest- Parameters:
x- the one variable being compared.y- the second variable being compared.z- the list of conditioning variables.- Returns:
- true iff x _||_ y | z.
- Throws:
RuntimeException- if a matrix singularity is encountered.- See Also:
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getPValue
public double getPValue()- Returns:
- the probability associated with the most recently computed independence test.
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setAlpha
public void setAlpha(double alpha) Sets the significance level at which independence judgments should be made. Affects the cutoff for partial correlations to be considered statistically equal to zero.- Specified by:
setAlphain interfaceIndependenceTest- Parameters:
alpha- This level.
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getAlpha
public double getAlpha()Gets the getModel significance level.- Specified by:
getAlphain interfaceIndependenceTest- Returns:
- This level.
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getVariables
- Specified by:
getVariablesin interfaceIndependenceTest- Returns:
- the list of variables over which this independence checker is capable of determinine independence relations-- that is, all the variables in the given graph or the given data set.
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getVariable
Description copied from interface:IndependenceTestReturns The variable by the given name.- Specified by:
getVariablein interfaceIndependenceTest- Returns:
- the variable with the given name.
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determines
IfisDeterminismAllowed(), deters to IndTestFisherZD; otherwise throws UnsupportedOperationException.- Specified by:
determinesin interfaceIndependenceTest- Returns:
- True if so.
- Throws:
UnsupportedOperationException
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getData
- Specified by:
getDatain interfaceIndependenceTest- Returns:
- the data set being analyzed.
- See Also:
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toString
Description copied from interface:IndependenceTestReturns a string representation of this test.- Specified by:
toStringin interfaceIndependenceTest- Overrides:
toStringin classObject- Returns:
- a string representation of this test.
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setVariables
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getCov
Description copied from interface:IndependenceTestReturns the covariance matrix.- Specified by:
getCovin interfaceIndependenceTest- Returns:
- This matrix.
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getDataSets
Description copied from interface:IndependenceTestReturns the datasets for this test- Specified by:
getDataSetsin interfaceIndependenceTest- Returns:
- these datasets.
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getSampleSize
public int getSampleSize()Description copied from interface:IndependenceTestReturns the sample size.- Specified by:
getSampleSizein interfaceIndependenceTest- Returns:
- This size.
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getScore
public double getScore()Description copied from interface:IndependenceTestReturn A score that is higher with more likely models.- Specified by:
getScorein interfaceIndependenceTest- Returns:
- This score.
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isVerbose
public boolean isVerbose()Description copied from interface:IndependenceTestReturns true if the test prints verbose output.- Specified by:
isVerbosein interfaceIndependenceTest- Returns:
- True if the case.
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setVerbose
public void setVerbose(boolean verbose) Description copied from interface:IndependenceTestSets whether this test will print verbose output.- Specified by:
setVerbosein interfaceIndependenceTest- Parameters:
verbose- True if so.
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