code: package edu.cmu.tetrad.algcomparison.independence;
  
  import edu.cmu.tetrad.annotation.TestOfIndependence;
  import edu.cmu.tetrad.data.DataModel;
  import edu.cmu.tetrad.data.DataType;
  import edu.cmu.tetrad.data.DataUtils;
  import edu.cmu.tetrad.search.IndTestConditionalGaussianLRT;
  import edu.cmu.tetrad.search.IndependenceTest;
  import edu.cmu.tetrad.util.Parameters;
  import java.util.ArrayList;
  import java.util.List;
  
  /**
   * Wrapper for Fisher Z test.
   *
   * @author jdramsey
   */
  @TestOfIndependence(
          name = "Conditional Gaussian Likelihood Ratio Test",
          command = "cond-gauss-lrt",
          dataType = DataType.Mixed
  )
  public class ConditionalGaussianLRT implements IndependenceWrapper {
  
      static final long serialVersionUID = 23L;
  
      @Override
      public IndependenceTest getTest(DataModel dataSet, Parameters parameters) {
          final IndTestConditionalGaussianLRT test
                  = new IndTestConditionalGaussianLRT(DataUtils.getMixedDataSet(dataSet),
                          parameters.getDouble("alpha"),
                          parameters.getBoolean("discretize"));
          test.setNumCategoriesToDiscretize(parameters.getInt("numCategoriesToDiscretize"));
          return test;
      }
  
      @Override
      public String getDescription() {
          return "Conditional Gaussian Likelihood Ratio Test";
      }
  
      @Override
      public DataType getDataType() {
          return DataType.Mixed;
      }
  
      @Override
      public List<String> getParameters() {
          List<String> parameters = new ArrayList<>();
          parameters.add("alpha");
          parameters.add("discretize");
          return parameters;
      }
  
  }
  