Class MultinomialLogisticRegressionWald

java.lang.Object
edu.cmu.tetrad.algcomparison.independence.MultinomialLogisticRegressionWald
All Implemented Interfaces:
IndependenceWrapper, HasParameters, TetradSerializable, Serializable

public class MultinomialLogisticRegressionWald extends Object implements IndependenceWrapper
Wrapper for Fisher Z test.
Version:
$Id: $Id
Author:
josephramsey
See Also:
  • Constructor Details

    • MultinomialLogisticRegressionWald

      public MultinomialLogisticRegressionWald()
      Constructs a new instance of the test.
  • Method Details