code: ///////////////////////////////////////////////////////////////////////////////
  // For information as to what this class does, see the Javadoc, below.       //
  // Copyright (C) 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006,       //
  // 2007, 2008, 2009, 2010, 2014, 2015 by Peter Spirtes, Richard Scheines, Joseph   //
  // Ramsey, and Clark Glymour.                                                //
  //                                                                           //
  // This program is free software; you can redistribute it and/or modify      //
  // it under the terms of the GNU General Public License as published by      //
  // the Free Software Foundation; either version 2 of the License, or         //
  // (at your option) any later version.                                       //
  //                                                                           //
  // This program is distributed in the hope that it will be useful,           //
  // but WITHOUT ANY WARRANTY; without even the implied warranty of            //
  // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the             //
  // GNU General Public License for more details.                              //
  //                                                                           //
  // You should have received a copy of the GNU General Public License         //
  // along with this program; if not, write to the Free Software               //
  // Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA //
  ///////////////////////////////////////////////////////////////////////////////
  
  package edu.cmu.tetrad.gene.tetrad.gene.algorithm.ideker;
  
  
  public class LTestPredictorSearch {
      public static void main(String[] argv) {
  
          int ngenes = 4;
          //int[][] exp = new int[4][4];
          String[] names = {"a0", "a1", "a2", "a3"};
  
          int[][] exp = {{1, 1, 1, 0}, {-1, 1, 0, 1}, {1, -1, 0, 0},
                  {1, 1, -1, 1}, {1, 1, 1, 2}};
  
          ItkPredictorSearch ips = new ItkPredictorSearch(ngenes, exp, names);
  
          for (int gene = 0; gene < ngenes; gene++) {
              ips.predictor(gene);
          }
      }
  }
  
  
  
  
  
  
  