Class IndTestMultinomialLogisticRegressionWald

java.lang.Object
edu.pitt.csb.mgm.IndTestMultinomialLogisticRegressionWald
All Implemented Interfaces:
IndependenceTest

public class IndTestMultinomialLogisticRegressionWald extends Object implements 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.
  • Constructor Details

    • IndTestMultinomialLogisticRegressionWald

      public IndTestMultinomialLogisticRegressionWald(DataSet data, double alpha, boolean preferLinear)
  • Method Details

    • indTestSubset

      public IndependenceTest indTestSubset(List<Node> vars)
      Description copied from interface: IndependenceTest
      Returns an Independence test for a sublist of the variables.
      Specified by:
      indTestSubset in interface IndependenceTest
      Parameters:
      vars - The sublist of variables.
      Returns:
      an Independence test for a subset of the searchVariables.
    • checkIndependence

      public IndependenceResult checkIndependence(Node x, Node y, Set<Node> z)
      Specified by:
      checkIndependence in interface IndependenceTest
      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:
    • 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.
    • getVariables

      public List<Node> getVariables()
      Specified by:
      getVariables in interface IndependenceTest
      Returns:
      the list of searchVariables over which this independence checker is capable of determinining independence relations.
    • determines

      public boolean determines(List<Node> z, Node y)
      Returns:
      true if y is determined the variable in z.
    • getAlpha

      public double getAlpha()
      Description copied from interface: IndependenceTest
      Returns the significance level of the independence test.
      Specified by:
      getAlpha in interface IndependenceTest
      Returns:
      the significance level of the independence test.
      Throws:
      UnsupportedOperationException - if there is no significance level.
    • setAlpha

      public void setAlpha(double alpha)
      Sets the significance level.
      Specified by:
      setAlpha in interface IndependenceTest
      Parameters:
      alpha - This level.
    • getData

      public DataSet getData()
      Specified by:
      getData in interface IndependenceTest
      Returns:
      The data model for the independence test, either a DataSet or a CovarianceMatrix.
      See Also:
    • toString

      public String toString()
      Description copied from interface: IndependenceTest
      Returns a string representation of this test.
      Specified by:
      toString in interface IndependenceTest
      Overrides:
      toString in class Object
      Returns:
      a string representation of this test.
    • isVerbose

      public boolean isVerbose()
      Description copied from interface: IndependenceTest
      Returns true if the test prints verbose output.
      Specified by:
      isVerbose in interface IndependenceTest
      Returns:
      True if the case.
    • setVerbose

      public void setVerbose(boolean verbose)
      Description copied from interface: IndependenceTest
      Sets whether this test will print verbose output.
      Specified by:
      setVerbose in interface IndependenceTest
      Parameters:
      verbose - True, if so.