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)

Version:
$Id: $Id
Author:
josephramsey, Augustus Mayo.
  • Constructor Details

    • IndTestMultinomialLogisticRegressionWald

      public IndTestMultinomialLogisticRegressionWald(DataSet data, double alpha, boolean preferLinear)

      Constructor for IndTestMultinomialLogisticRegressionWald.

      Parameters:
      data - a DataSet object
      alpha - a double
      preferLinear - a boolean
  • Method Details