code: package edu.cmu.tetrad.algcomparison.graph;
  
  import edu.cmu.tetrad.data.DataGraphUtils;
  import edu.cmu.tetrad.graph.Graph;
  import edu.cmu.tetrad.graph.GraphUtils;
  import edu.cmu.tetrad.util.Parameters;
  
  import java.util.ArrayList;
  import java.util.List;
  
  /**
   * Creates a random graph by adding forward edges.
   *
   * @author jdramsey
   */
  public class RandomSingleFactorMim implements RandomGraph {
      static final long serialVersionUID = 23L;
  
      @Override
      public Graph createGraph(Parameters parameters) {
          int numStructuralNodes = parameters.getInt("numStructuralNodes", 3);
          int maxStructuralEdges = parameters.getInt("numStructuralEdges", 3);
          int measurementModelDegree = parameters.getInt("measurementModelDegree", 3);
          int numLatentMeasuredImpureParents = parameters.getInt("latentMeasuredImpureParents", 0);
          int numMeasuredMeasuredImpureParents = parameters.getInt("measuredMeasuredImpureParents", 0);
          int numMeasuredMeasuredImpureAssociations = parameters.getInt("measuredMeasuredImpureAssociations", 0);
  
          return DataGraphUtils.randomSingleFactorModel(numStructuralNodes, maxStructuralEdges, measurementModelDegree,
                  numLatentMeasuredImpureParents, numMeasuredMeasuredImpureParents,
                  numMeasuredMeasuredImpureAssociations);
      }
  
      @Override
      public String getDescription() {
          return "Random single-factor MIM (Multiple Indicator Model)";
      }
  
      @Override
      public List<String> getParameters() {
          List<String> parameters = new ArrayList<>();
          parameters.add("numStructuralNodes");
          parameters.add("numStructuralEdges");
          parameters.add("measurementModelDegree");
          parameters.add("latentMeasuredImpureParents");
          parameters.add("measuredMeasuredImpureParents");
          parameters.add("measuredMeasuredImpureAssociations");
          return parameters;
      }
  }
  