/* nag_censored_normal (g07bbc) Example Program.
 *
 * Copyright 2001 Numerical Algorithms Group.
 *
 * Mark 7, 2001.
 */

#include <stdio.h>
#include <string.h>
#include <nag.h>
#include <nagx04.h>
#include <nag_stdlib.h>
#include <nagg07.h>

int main(int argc, char *argv[])
{
  FILE         *fpin, *fpout;
  /* Scalars */
  double       corr, dev, sexmu, sexsig, tol, xmu, xsig;
  Integer      exit_status, i, maxit, n, nit;
  /* Arrays */
  char         nag_enum_arg[40];
  double       *x = 0, *xc = 0;
  Integer      *ic = 0, *nobs = 0;
  Nag_CEMethod method;
  NagError     fail;

  INIT_FAIL(fail);

  /* Check for command-line IO options */
  fpin = nag_example_file_io(argc, argv, "-data", NULL);
  fpout = nag_example_file_io(argc, argv, "-results", NULL);
  exit_status = 0;
  fprintf(fpout, "nag_censored_normal (g07bbc) Example Program Results\n");

  /* Skip heading in data file */
  fscanf(fpin, "%*[^\n] ");

  fscanf(fpin, "%ld %s %lf%lf%lf%ld%*[^\n] ", &n, nag_enum_arg,
         &xmu, &xsig, &tol, &maxit);
  /* nag_enum_name_to_value(x04nac).
   * Converts NAG enum member name to value
   */
  method = (Nag_CEMethod) nag_enum_name_to_value(nag_enum_arg);

  /* Allocate memory */
  if (!(x = NAG_ALLOC(n, double)) ||
      !(xc = NAG_ALLOC(n, double)) ||
      !(ic = NAG_ALLOC(n, Integer)) ||
      !(nobs = NAG_ALLOC(4, Integer)))
    {
      fprintf(fpout, "Allocation failure\n");
      exit_status = -1;
      goto END;
    }

  for (i = 1; i <= n; ++i)
    fscanf(fpin, "%lf%lf%ld", &x[i - 1], &xc[i - 1], &ic[i - 1]);
  fscanf(fpin, "%*[^\n] ");

  /* nag_censored_normal (g07bbc).
   * Computes maximum likelihood estimates for parameters of
   * the Normal distribution from grouped and/or censored data
   */
  nag_censored_normal(method, n, x, xc, ic, &xmu, &xsig, tol, maxit,
                      &sexmu, &sexsig, &corr, &dev, nobs, &nit, &fail);

  if (fail.code != NE_NOERROR)
    {
      fprintf(fpout, "Error from nag_censored_normal (g07bbc).\n%s\n",
              fail.message);
      exit_status = 1;
      goto END;
    }

  fprintf(fpout, "\n");
  fprintf(fpout, " Mean = %8.4f\n", xmu);
  fprintf(fpout, " Standard deviation = %8.4f\n", xsig);
  fprintf(fpout, " Standard error of mean = %8.4f\n", sexmu);
  fprintf(fpout, " Standard error of sigma = %8.4f\n", sexsig);
  fprintf(fpout, " Correlation coefficient = %8.4f\n", corr);
  fprintf(fpout, " Number of right censored observations = %2ld\n",
          nobs[0]);
  fprintf(fpout, " Number of left censored observations = %2ld\n",
          nobs[1]);
  fprintf(fpout, " Number of interval censored observations = %2ld\n",
          nobs[2]);
  fprintf(fpout, " Number of exactly specified observations = %2ld\n",
          nobs[3]);
  fprintf(fpout, " Number of iterations = %2ld\n", nit);
  fprintf(fpout, " Log-likelihood = %8.4f\n", dev);


 END:
  if (fpin != stdin) fclose(fpin);
  if (fpout != stdout) fclose(fpout);
  if (x) NAG_FREE(x);
  if (xc) NAG_FREE(xc);
  if (ic) NAG_FREE(ic);
  if (nobs) NAG_FREE(nobs);

  return exit_status;
}