Package edu.cmu.tetrad.study

Class RBExperiments

java.lang.Object
edu.cmu.tetrad.study.RBExperiments
public class RBExperiments extends Object

RBExperiments class.

Version:
$Id: $Id
Author:
josephramsey

  • Constructor Summary

    Constructors
    Constructor
    Description
    RBExperiments()
    Constructor for RBExperiments.

  • Method Summary

    Modifier and Type
    Method
    Description
    void
    experiment(String modelName, int numCases, int numModels, int numBootstrapSamples, double alpha, double numLatentConfounders, boolean threshold1, boolean threshold2, double lower, double upper, String filePath, int round)
    Performs an experiment to estimate the structure and parameters of a Bayesian network using various methods.
    static void
    main(String[] args)
    Main method for executing the RBExperiments class and running a series of experiments.

    Methods inherited from class java.lang.Object

    equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Constructor Details

    • RBExperiments

      public RBExperiments()

      Constructor for RBExperiments.

  • Method Details

    • main

      public static void main(String[] args) throws IOException
      Main method for executing the RBExperiments class and running a series of experiments.
      Parameters:
      args - the command line arguments. These arguments can be used to set various parameters for the experiments. Possible options include: -c (ignored) : a flag to indicate that the input arguments are given in a compact format. -i (ignored) : a flag to indicate that the input arguments are given as individual arguments. -lv [value] : the value of the number of latent confounders. -bs [value] : the number of bootstrap samples. -alpha [value] : the significance level (alpha) for statistical tests. -m [value] : the number of models to consider. -net [value] : the name of the model. -t1 [value] : a flag to indicate whether threshold 1 should be used. -t2 [value] : a flag to indicate whether threshold 2 should be used. -low [value] : the lower threshold value for creating a dependency filtering dataset. -up [value] : the upper threshold value for creating a dependency filtering dataset. -out [value] : the directory to save the results to. -data [value] : the path to the data directory.
      Throws:
      IOException - if there is an error reading or writing data.

    • experiment

      public void experiment(String modelName, int numCases, int numModels, int numBootstrapSamples, double alpha, double numLatentConfounders, boolean threshold1, boolean threshold2, double lower, double upper, String filePath, int round)
      Performs an experiment to estimate the structure and parameters of a Bayesian network using various methods.
      Parameters:
      modelName - the name of the model for the Bayesian network
      numCases - the number of cases to simulate
      numModels - the number of models to run the experiment for
      numBootstrapSamples - the number of bootstrap samples to use for creating empirical data
      alpha - the significance level for the chi-squared test
      numLatentConfounders - the percentage of variables to be set as latent confounders
      threshold1 - a flag indicating whether to use threshold 1 during the RB search
      threshold2 - a flag indicating whether to use threshold 2 during the RB search
      lower - the lower threshold value for the RB search
      upper - the upper threshold value for the RB search
      filePath - the path to the directory for storing the experiment results
      round - the round of the experiment