Class IndTestMvpLrt

java.lang.Object
edu.cmu.tetrad.search.test.IndTestMvpLrt
All Implemented Interfaces:
IndependenceTest

public class IndTestMvpLrt extends Object implements IndependenceTest

Performs a test of conditional independence X _||_ Y | Z1...Zn where all variables are either continuous or discrete. This test is valid for both ordinal and non-ordinal discrete searchVariables.

Andrews, B., Ramsey, J., & Cooper, G. F. (2018). Scoring Bayesian networks of mixed variables. International journal of data science and analytics, 6, 3-18.

Author:
Bryan Andrews
  • Constructor Details

    • IndTestMvpLrt

      public IndTestMvpLrt(DataSet data, double alpha, int fDegree, boolean discretize)
      Constructor.
      Parameters:
      data - The mixed continuous/discrete dataset.
      alpha - The significance level.
      fDegree - The f degree.
      discretize - True if continuous children should be discretized.
  • Method Details