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.regression;
  
  import edu.cmu.tetrad.util.TetradSerializable;
  
  import java.io.IOException;
  import java.io.ObjectInputStream;
  
  
  /**
   * Stores the various components of a logistic regression result in a single class so
   * that they can be passed together as an argument or return value.
   *
   * @author Frank Wimberly
   */
  public class LogisticRegressionResult implements TetradSerializable {
      static final long serialVersionUID = 23L;
  
      /**
       * String representation of the result
       */
      private String result;
  
  
      /**
       * The variables.
       */
      private String[] variableNames;
  
  
      /**
       * The target.
       */
      private String target;
  
      /**
       * The number of data points with target = 0.
       */
      private int ny0;
  
      /**
       * The number of data points with target = 1.
       */
      private int ny1;
  
  
      /**
       * The number of regressors.
       */
      private int numRegressors;
  
      /**
       * The array of regression coefficients.
       */
      private double[] coefs;
  
      /**
       * The array of standard errors for the regression coefficients.
       */
      private double[] stdErrs;
  
      /**
       * The array of coefP-values for the regression coefficients.
       */
      private double[] probs;
  
  
      /**
       * THe array of means.
       */
      private double[] xMeans;
  
  
      /**
       * The array of standard devs.
       */
      private double[] xStdDevs;
  
  
      private double intercept;
  
      /**
       * The log likelyhood of the regression
       */
      private double logLikelihood;
  
  
      /**
       * Constructs a new LinRegrResult.
       *
       * @param ny0           the number of cases with target = 0.
       * @param ny1           the number of cases with target = 1.
       * @param numRegressors the number of regressors
       * @param coefs         the array of regression coefficients.
       * @param stdErrs       the array of std errors of the coefficients.
       * @param probs         the array of P-values for the regression
       *                      coefficients.
       */
      private LogisticRegressionResult(String target, String[] variableNames, double[] xMeans, double[] xStdDevs,
                                       int numRegressors, int ny0, int ny1, double[] coefs,
                                       double[] stdErrs, double[] probs, double intercept, String result, double logLikelihood) {
  
  
          if (variableNames.length != numRegressors) {
              throw new IllegalArgumentException();
          }
  
          if (coefs.length != numRegressors + 1) {
              throw new IllegalArgumentException();
          }
  
          if (stdErrs.length != numRegressors + 1) {
              throw new IllegalArgumentException();
          }
  
          if (probs.length != numRegressors + 1) {
              throw new IllegalArgumentException();
          }
  
          if (xMeans.length != numRegressors + 1) {
              throw new IllegalArgumentException();
          }
  
          if (xStdDevs.length != numRegressors + 1) {
              throw new IllegalArgumentException();
          }
          if (target == null) {
              throw new NullPointerException();
          }
  
          this.intercept = intercept;
          this.target = target;
          this.xMeans = xMeans;
          this.xStdDevs = xStdDevs;
          this.variableNames = variableNames;
          this.numRegressors = numRegressors;
          this.ny0 = ny0;
          this.ny1 = ny1;
          this.coefs = coefs;
          this.stdErrs = stdErrs;
          this.probs = probs;
          this.result = result;
          this.logLikelihood = logLikelihood;
      }
  
      /**
       * Generates a simple exemplar of this class to test serialization.
       */
      public static LogisticRegressionResult serializableInstance() {
          double[] values = new double[]{1.0, 2.0};
          return new LogisticRegressionResult("X1", new String[]{"X2"}, values, values, 1, 2, 3,
                  values, values, values, 1.5, "", 0.0);
      }
  
      //================================== Public Methods =======================================//
  
      public String getTarget() {
          return this.target;
      }
  
      public double getIntercept() {
          return this.intercept;
      }
  
      /**
       * @return the number of regressors.
       */
      public int getNumRegressors() {
          return numRegressors;
      }
  
      /**
       * @return the number of cases with target = 0.
       */
      public int getNy0() {
          return ny0;
      }
  
      /**
       * @return the number of cases with target = 1.
       */
      public int getNy1() {
          return ny1;
      }
  
      /**
       * @return the total number of cases.
       */
      public int getnCases() {
          return ny0 + ny1;
      }
  
      /**
       * @return the array of strings containing the variable names.
       */
      public String[] getVariableNames() {
          return variableNames;
      }
  
      /**
       * @return the array of regression coeffients.
       */
      public double[] getCoefs() {
          return coefs;
      }
  
      /**
       * @return the array of coefT-statistics for the regression coefficients.
       */
      public double[] getStdErrs() {
          return stdErrs;
      }
  
      /**
       * @return the array of coefP-values for the regression coefficients.
       */
      public double[] getProbs() {
          return probs;
      }
  
      public String[] getVarNames() {
          return variableNames;
      }
  
      public String toString() {
          return result;
      }
  
      public double[] getxMeans() {
          return xMeans;
      }
  
      public double[] getxStdDevs() {
          return xStdDevs;
      }
  
      /**
       * @return -2LogLiklihood
       */
      public double getLogLikelihood() {
          return logLikelihood;
      }
  
      /**
       * Adds semantic checks to the default deserialization method. This method
       * must have the standard signature for a readObject method, and the body of
       * the method must begin with "s.defaultReadObject();". Other than that, any
       * semantic checks can be specified and do not need to stay the same from
       * version to version. A readObject method of this form may be added to any
       * class, even if Tetrad sessions were previously saved out using a version
       * of the class that didn't include it. (That's what the
       * "s.defaultReadObject();" is for. See J. Bloch, Effective Java, for help.
       *
       * @throws java.io.IOException
       * @throws ClassNotFoundException
       */
      private void readObject(ObjectInputStream s)
              throws IOException, ClassNotFoundException {
          s.defaultReadObject();
          if (this.xMeans == null) {
              throw new NullPointerException();
          }
          if (this.xStdDevs == null) {
              throw new NullPointerException();
          }
          if (this.variableNames == null) {
              throw new NullPointerException();
          }
          if (this.coefs == null) {
              throw new NullPointerException();
          }
          if (this.stdErrs == null) {
              throw new NullPointerException();
          }
          if (this.probs == null) {
              throw new NullPointerException();
          }
          if (this.result == null) {
              throw new NullPointerException();
          }
          if (target == null) {
              throw new NullPointerException();
          }
  
      }
  }
  
  
  
  
  
  
  