Class BackwardElimination


  • public class BackwardElimination
    extends GLMModelSelection
    Constructs a GLM model for a set of observations using the backward elimination method. All factors are included in the model at the beginning. Iteratively, one factor is dropped at a time based on the elimination criteria.
    • Constructor Detail

      • BackwardElimination

        public BackwardElimination​(GLMProblem problem)
        Constructs a GLM model using the backward elimination method, with EliminationByAIC as the default algorithm.
        Parameters:
        problem - the GLM problem
      • BackwardElimination

        public BackwardElimination​(GLMProblem problem,
                                   BackwardElimination.Step step)
        Constructs a GLM model using the backward elimination method.
        Parameters:
        problem - the GLM problem
        step - the algorithm determining which factor to drop in each step