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Diff for /imach/src/imach.c between versions 1.91 and 1.97

version 1.91, 2003/06/25 15:30:29 version 1.97, 2004/02/20 13:25:42
Line 1 Line 1
 /* $Id$  /* $Id$
   $State$    $State$
   $Log$    $Log$
     Revision 1.97  2004/02/20 13:25:42  lievre
     Version 0.96d. Population forecasting command line is (temporarily)
     suppressed.
   
     Revision 1.96  2003/07/15 15:38:55  brouard
     * imach.c (Repository): Errors in subdirf, 2, 3 while printing tmpout is
     rewritten within the same printf. Workaround: many printfs.
   
     Revision 1.95  2003/07/08 07:54:34  brouard
     * imach.c (Repository):
     (Repository): Using imachwizard code to output a more meaningful covariance
     matrix (cov(a12,c31) instead of numbers.
   
     Revision 1.94  2003/06/27 13:00:02  brouard
     Just cleaning
   
     Revision 1.93  2003/06/25 16:33:55  brouard
     (Module): On windows (cygwin) function asctime_r doesn't
     exist so I changed back to asctime which exists.
     (Module): Version 0.96b
   
     Revision 1.92  2003/06/25 16:30:45  brouard
     (Module): On windows (cygwin) function asctime_r doesn't
     exist so I changed back to asctime which exists.
   
   Revision 1.91  2003/06/25 15:30:29  brouard    Revision 1.91  2003/06/25 15:30:29  brouard
   * imach.c (Repository): Duplicated warning errors corrected.    * imach.c (Repository): Duplicated warning errors corrected.
   (Repository): Elapsed time after each iteration is now output. It    (Repository): Elapsed time after each iteration is now output. It
Line 153 Line 178
 #include <time.h>  #include <time.h>
 #include "timeval.h"  #include "timeval.h"
   
   /* #include <libintl.h> */
   /* #define _(String) gettext (String) */
   
 #define MAXLINE 256  #define MAXLINE 256
 #define GNUPLOTPROGRAM "gnuplot"  #define GNUPLOTPROGRAM "gnuplot"
 /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/  /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/
Line 184 Line 212
 /* $Id$ */  /* $Id$ */
 /* $State$ */  /* $State$ */
   
 char version[]="Imach version 0.96a, June 2003, INED-EUROREVES ";  char version[]="Imach version 0.96d, February 2004, INED-EUROREVES ";
 char fullversion[]="$Revision$ $Date$";   char fullversion[]="$Revision$ $Date$"; 
 int erreur, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings  */  int erreur, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings  */
 int nvar;  int nvar;
Line 228  char fileresvpl[FILENAMELENGTH]; Line 256  char fileresvpl[FILENAMELENGTH];
 char title[MAXLINE];  char title[MAXLINE];
 char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH],  filerespl[FILENAMELENGTH];  char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH],  filerespl[FILENAMELENGTH];
 char optionfilext[10], optionfilefiname[FILENAMELENGTH], plotcmd[FILENAMELENGTH];  char optionfilext[10], optionfilefiname[FILENAMELENGTH], plotcmd[FILENAMELENGTH];
 char tmpout[FILENAMELENGTH];   char tmpout[FILENAMELENGTH],  tmpout2[FILENAMELENGTH]; 
 char command[FILENAMELENGTH];  char command[FILENAMELENGTH];
 int  outcmd=0;  int  outcmd=0;
   
 char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];  char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];
 char lfileres[FILENAMELENGTH];  
 char filelog[FILENAMELENGTH]; /* Log file */  char filelog[FILENAMELENGTH]; /* Log file */
 char filerest[FILENAMELENGTH];  char filerest[FILENAMELENGTH];
 char fileregp[FILENAMELENGTH];  char fileregp[FILENAMELENGTH];
Line 553  void free_ma3x(double ***m, long nrl, lo Line 581  void free_ma3x(double ***m, long nrl, lo
   free((FREE_ARG)(m+nrl-NR_END));    free((FREE_ARG)(m+nrl-NR_END));
 }  }
   
   /*************** function subdirf ***********/
   char *subdirf(char fileres[])
   {
     /* Caution optionfilefiname is hidden */
     strcpy(tmpout,optionfilefiname);
     strcat(tmpout,"/"); /* Add to the right */
     strcat(tmpout,fileres);
     return tmpout;
   }
   
   /*************** function subdirf2 ***********/
   char *subdirf2(char fileres[], char *preop)
   {
     
     /* Caution optionfilefiname is hidden */
     strcpy(tmpout,optionfilefiname);
     strcat(tmpout,"/");
     strcat(tmpout,preop);
     strcat(tmpout,fileres);
     return tmpout;
   }
   
   /*************** function subdirf3 ***********/
   char *subdirf3(char fileres[], char *preop, char *preop2)
   {
     
     /* Caution optionfilefiname is hidden */
     strcpy(tmpout,optionfilefiname);
     strcat(tmpout,"/");
     strcat(tmpout,preop);
     strcat(tmpout,preop2);
     strcat(tmpout,fileres);
     return tmpout;
   }
   
 /***************** f1dim *************************/  /***************** f1dim *************************/
 extern int ncom;   extern int ncom; 
 extern double *pcom,*xicom;  extern double *pcom,*xicom;
Line 778  void powell(double p[], double **xi, int Line 841  void powell(double p[], double **xi, int
     fprintf(ficrespow,"\n");fflush(ficrespow);      fprintf(ficrespow,"\n");fflush(ficrespow);
     if(*iter <=3){      if(*iter <=3){
       tm = *localtime(&curr_time.tv_sec);        tm = *localtime(&curr_time.tv_sec);
       asctime_r(&tm,strcurr);        strcpy(strcurr,asctime(&tmf));
   /*       asctime_r(&tm,strcurr); */
       forecast_time=curr_time;        forecast_time=curr_time;
       itmp = strlen(strcurr);        itmp = strlen(strcurr);
       if(strcurr[itmp-1]=='\n')        if(strcurr[itmp-1]=='\n')
Line 788  void powell(double p[], double **xi, int Line 852  void powell(double p[], double **xi, int
       for(niterf=10;niterf<=30;niterf+=10){        for(niterf=10;niterf<=30;niterf+=10){
         forecast_time.tv_sec=curr_time.tv_sec+(niterf-*iter)*(curr_time.tv_sec-last_time.tv_sec);          forecast_time.tv_sec=curr_time.tv_sec+(niterf-*iter)*(curr_time.tv_sec-last_time.tv_sec);
         tmf = *localtime(&forecast_time.tv_sec);          tmf = *localtime(&forecast_time.tv_sec);
         asctime_r(&tmf,strfor);  /*      asctime_r(&tmf,strfor); */
 /*      strcpy(strfor,asctime(&tmf)); */          strcpy(strfor,asctime(&tmf));
         itmp = strlen(strfor);          itmp = strlen(strfor);
         if(strfor[itmp-1]=='\n')          if(strfor[itmp-1]=='\n')
         strfor[itmp-1]='\0';          strfor[itmp-1]='\0';
Line 1209  double func( double *x) Line 1273  double func( double *x)
           oldm=newm;            oldm=newm;
         } /* end mult */          } /* end mult */
               
         /*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */  
         /* But now since version 0.9 we anticipate for bias and large stepm.  
          * If stepm is larger than one month (smallest stepm) and if the exact delay   
          * (in months) between two waves is not a multiple of stepm, we rounded to   
          * the nearest (and in case of equal distance, to the lowest) interval but now  
          * we keep into memory the bias bh[mi][i] and also the previous matrix product  
          * (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the  
          * probability in order to take into account the bias as a fraction of the way  
          * from savm to out if bh is neagtive or even beyond if bh is positive. bh varies  
          * -stepm/2 to stepm/2 .  
          * For stepm=1 the results are the same as for previous versions of Imach.  
          * For stepm > 1 the results are less biased than in previous versions.   
          */  
         s1=s[mw[mi][i]][i];          s1=s[mw[mi][i]][i];
         s2=s[mw[mi+1][i]][i];          s2=s[mw[mi+1][i]][i];
         bbh=(double)bh[mi][i]/(double)stepm;           bbh=(double)bh[mi][i]/(double)stepm; 
         /* bias is positive if real duration  
          * is higher than the multiple of stepm and negative otherwise.  
          */  
         lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2])); /* linear interpolation */          lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2])); /* linear interpolation */
         /* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/  
         /*lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.-+bh)*out[s1][s2])); */ /* exponential interpolation */  
         /*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/  
         /*if(lli ==000.0)*/  
         /*printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */  
         ipmx +=1;          ipmx +=1;
         sw += weight[i];          sw += weight[i];
         ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;          ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
Line 1260  double func( double *x) Line 1303  double func( double *x)
           oldm=newm;            oldm=newm;
         } /* end mult */          } /* end mult */
               
         /*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */  
         /* But now since version 0.9 we anticipate for bias and large stepm.  
          * If stepm is larger than one month (smallest stepm) and if the exact delay   
          * (in months) between two waves is not a multiple of stepm, we rounded to   
          * the nearest (and in case of equal distance, to the lowest) interval but now  
          * we keep into memory the bias bh[mi][i] and also the previous matrix product  
          * (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the  
          * probability in order to take into account the bias as a fraction of the way  
          * from savm to out if bh is neagtive or even beyond if bh is positive. bh varies  
          * -stepm/2 to stepm/2 .  
          * For stepm=1 the results are the same as for previous versions of Imach.  
          * For stepm > 1 the results are less biased than in previous versions.   
          */  
         s1=s[mw[mi][i]][i];          s1=s[mw[mi][i]][i];
         s2=s[mw[mi+1][i]][i];          s2=s[mw[mi+1][i]][i];
         bbh=(double)bh[mi][i]/(double)stepm;           bbh=(double)bh[mi][i]/(double)stepm; 
         /* bias is positive if real duration  
          * is higher than the multiple of stepm and negative otherwise.  
          */  
         /* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2])); */ /* linear interpolation */  
         lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */          lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */
         /*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/  
         /*if(lli ==000.0)*/  
         /*printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */  
         ipmx +=1;          ipmx +=1;
         sw += weight[i];          sw += weight[i];
         ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;          ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
Line 1449  double funcone( double *x) Line 1472  double funcone( double *x)
   return -l;    return -l;
 }  }
   
 char *subdirf(char fileres[])  
 {  
   /* Caution optionfilefiname is hidden */  
   strcpy(tmpout,optionfilefiname);  
   strcat(tmpout,"/"); /* Add to the right */  
   strcat(tmpout,fileres);  
   return tmpout;  
 }  
   
 char *subdirf2(char fileres[], char *preop)  
 {  
     
   strcpy(tmpout,optionfilefiname);  
   strcat(tmpout,"/");  
   strcat(tmpout,preop);  
   strcat(tmpout,fileres);  
   return tmpout;  
 }  
 char *subdirf3(char fileres[], char *preop, char *preop2)  
 {  
     
   strcpy(tmpout,optionfilefiname);  
   strcat(tmpout,"/");  
   strcat(tmpout,preop);  
   strcat(tmpout,preop2);  
   strcat(tmpout,fileres);  
   return tmpout;  
 }  
   
   /*************** function likelione ***********/
 void likelione(FILE *ficres,double p[], int npar, int nlstate, int *globpri, long *ipmx, double *sw, double *fretone, double (*funcone)(double []))  void likelione(FILE *ficres,double p[], int npar, int nlstate, int *globpri, long *ipmx, double *sw, double *fretone, double (*funcone)(double []))
 {  {
   /* This routine should help understanding what is done with     /* This routine should help understanding what is done with 
Line 2311  void evsij(char fileres[], double ***eij Line 2307  void evsij(char fileres[], double ***eij
   
     hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */      hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
   
     /* Computing Variances of health expectancies */      /* Computing  Variances of health expectancies */
   
      for(theta=1; theta <=npar; theta++){       for(theta=1; theta <=npar; theta++){
       for(i=1; i<=npar; i++){         for(i=1; i<=npar; i++){ 
Line 2865  void varprob(char optionfilefiname[], do Line 2861  void varprob(char optionfilefiname[], do
   fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");    fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");
   fprintf(fichtm,"\n");    fprintf(fichtm,"\n");
   
   fprintf(fichtm,"\n<li><h4> <a href=\"%s\">Computing matrix of variance-covariance of step probabilities</a></h4></li>\n",optionfilehtmcov);    fprintf(fichtm,"\n<li><h4> <a href=\"%s\">Matrix of variance-covariance of pairs of step probabilities (drawings)</a></h4></li>\n",optionfilehtmcov);
   fprintf(fichtmcov,"\n<h4>Computing matrix of variance-covariance of step probabilities</h4>\n\    fprintf(fichtmcov,"\n<h4>Matrix of variance-covariance of pairs of step probabilities</h4>\n\
   file %s<br>\n",optionfilehtmcov);    file %s<br>\n",optionfilehtmcov);
   fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimated\    fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimated\
 and drawn. It helps understanding how is the covariance between two incidences.\  and drawn. It helps understanding how is the covariance between two incidences.\
Line 2899  To be simple, these graphs help to under Line 2895  To be simple, these graphs help to under
         fprintf(ficgp, "**********\n#\n");          fprintf(ficgp, "**********\n#\n");
                   
                   
         fprintf(fichtm, "\n<hr  size=\"2\" color=\"#EC5E5E\">********** Variable ");           fprintf(fichtmcov, "\n<hr  size=\"2\" color=\"#EC5E5E\">********** Variable "); 
         for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);          for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
         fprintf(fichtm, "**********\n<hr size=\"2\" color=\"#EC5E5E\">");          fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">");
                   
         fprintf(ficresprobcor, "\n#********** Variable ");              fprintf(ficresprobcor, "\n#********** Variable ");    
         for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);          for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
Line 3110  void printinghtml(char fileres[], char t Line 3106  void printinghtml(char fileres[], char t
                   double jprev1, double mprev1,double anprev1, \                    double jprev1, double mprev1,double anprev1, \
                   double jprev2, double mprev2,double anprev2){                    double jprev2, double mprev2,double anprev2){
   int jj1, k1, i1, cpt;    int jj1, k1, i1, cpt;
   /*char optionfilehtm[FILENAMELENGTH];*/  
 /*   if((fichtm=fopen(optionfilehtm,"a"))==NULL)    { */  
 /*     printf("Problem with %s \n",optionfilehtm), exit(0); */  
 /*     fprintf(ficlog,"Problem with %s \n",optionfilehtm), exit(0); */  
 /*   } */  
   
    fprintf(fichtm,"<ul><li><h4>Result files (first order: no variance)</h4>\n \     fprintf(fichtm,"<ul><li><h4>Result files (first order: no variance)</h4>\n \
  - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> <br>\n \   - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> <br>\n ",
  - Estimated transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n \             jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileres,"p"),subdirf2(fileres,"p"));
  - Stable prevalence in each health state: <a href=\"%s\">%s</a> <br>\n \     fprintf(fichtm,"\
    - Estimated transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ",
              stepm,subdirf2(fileres,"pij"),subdirf2(fileres,"pij"));
      fprintf(fichtm,"\
    - Stable prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",
              subdirf2(fileres,"pl"),subdirf2(fileres,"pl"));
      fprintf(fichtm,"\
  - Life expectancies by age and initial health status (estepm=%2d months): \   - Life expectancies by age and initial health status (estepm=%2d months): \
    <a href=\"%s\">%s</a> <br>\n</li>", \     <a href=\"%s\">%s</a> <br>\n</li>",
            jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileres,"p"),subdirf2(fileres,"p"),\  
            stepm,subdirf2(fileres,"pij"),subdirf2(fileres,"pij"),\  
            subdirf2(fileres,"pl"),subdirf2(fileres,"pl"),\  
            estepm,subdirf2(fileres,"e"),subdirf2(fileres,"e"));             estepm,subdirf2(fileres,"e"),subdirf2(fileres,"e"));
   
 fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");  fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");
Line 3158  fprintf(fichtm," \n<ul><li><b>Graphs</b> Line 3152  fprintf(fichtm," \n<ul><li><b>Graphs</b>
         fprintf(fichtm,"\n<br>- Health life expectancies by age and initial health state (%d): %s%d%d.png <br> \          fprintf(fichtm,"\n<br>- Health life expectancies by age and initial health state (%d): %s%d%d.png <br> \
 <img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);  <img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);
      }       }
      fprintf(fichtm,"\n<br>- Total life expectancy by age and \  
 health expectancies in states (1) and (2): %s%d.png<br>\  
 <img src=\"%s%d.png\">",subdirf2(optionfilefiname,"e"),jj1,subdirf2(optionfilefiname,"e"),jj1);  
    } /* end i1 */     } /* end i1 */
  }/* End k1 */   }/* End k1 */
  fprintf(fichtm,"</ul>");   fprintf(fichtm,"</ul>");
   
   
  fprintf(fichtm,"\n<br><li><h4> Result files (second order: variances)</h4>\n\   fprintf(fichtm,"\
  - Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br>\n\  \n<br><li><h4> Result files (second order: variances)</h4>\n\
  - Variance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n\   - Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br>\n", rfileres,rfileres);
  - Variance-covariance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n\  
  - Correlation matrix of one-step probabilities: <a href=\"%s\">%s</a> <br>\n\   fprintf(fichtm," - Variance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
  - Variances and covariances of life expectancies by age and initial health status (estepm=%d months): <a href=\"%s\">%s</a><br>\n\           subdirf2(fileres,"prob"),subdirf2(fileres,"prob"));
  - Health expectancies with their variances (no covariance): <a href=\"%s\">%s</a> <br>\n\   fprintf(fichtm,"\
    - Variance-covariance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
            subdirf2(fileres,"probcov"),subdirf2(fileres,"probcov"));
   
    fprintf(fichtm,"\
    - Correlation matrix of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
            subdirf2(fileres,"probcor"),subdirf2(fileres,"probcor"));
    fprintf(fichtm,"\
    - Variances and covariances of life expectancies by age and initial health status (estepm=%d months): <a href=\"%s\">%s</a><br>\n",
            estepm, subdirf2(fileres,"v"),subdirf2(fileres,"v"));
    fprintf(fichtm,"\
    - Health expectancies with their variances (no covariance): <a href=\"%s\">%s</a> <br>\n",
            subdirf2(fileres,"t"),subdirf2(fileres,"t"));
    fprintf(fichtm,"\
  - Standard deviation of stable prevalences: <a href=\"%s\">%s</a> <br>\n",\   - Standard deviation of stable prevalences: <a href=\"%s\">%s</a> <br>\n",\
          rfileres,rfileres,\  
          subdirf2(fileres,"prob"),subdirf2(fileres,"prob"),\  
          subdirf2(fileres,"probcov"),subdirf2(fileres,"probcov"),\  
          subdirf2(fileres,"probcor"),subdirf2(fileres,"probcor"),\  
          estepm, subdirf2(fileres,"v"),subdirf2(fileres,"v"),\  
          subdirf2(fileres,"t"),subdirf2(fileres,"t"),\  
          subdirf2(fileres,"vpl"),subdirf2(fileres,"vpl"));           subdirf2(fileres,"vpl"),subdirf2(fileres,"vpl"));
   
 /*  if(popforecast==1) fprintf(fichtm,"\n */  /*  if(popforecast==1) fprintf(fichtm,"\n */
Line 3188  health expectancies in states (1) and (2 Line 3186  health expectancies in states (1) and (2
 /*      <br>",fileres,fileres,fileres,fileres); */  /*      <br>",fileres,fileres,fileres,fileres); */
 /*  else  */  /*  else  */
 /*    fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */  /*    fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */
 fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");   fflush(fichtm);
    fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");
   
  m=cptcoveff;   m=cptcoveff;
  if (cptcovn < 1) {m=1;ncodemax[1]=1;}   if (cptcovn < 1) {m=1;ncodemax[1]=1;}
Line 3204  fprintf(fichtm," <ul><li><b>Graphs</b></ Line 3203  fprintf(fichtm," <ul><li><b>Graphs</b></
        fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");         fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
      }       }
      for(cpt=1; cpt<=nlstate;cpt++) {       for(cpt=1; cpt<=nlstate;cpt++) {
        fprintf(fichtm,"<br>- Observed and period prevalence (with confident\         fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \
 interval) in state (%d): %s%d%d.png <br>\  prevalence (with 95%% confidence interval) in state (%d): %s%d%d.png <br>\
 <img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"v"),cpt,jj1,subdirf2(optionfilefiname,"v"),cpt,jj1);    <img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"v"),cpt,jj1,subdirf2(optionfilefiname,"v"),cpt,jj1);  
      }       }
        fprintf(fichtm,"\n<br>- Total life expectancy by age and \
   health expectancies in states (1) and (2): %s%d.png<br>\
   <img src=\"%s%d.png\">",subdirf2(optionfilefiname,"e"),jj1,subdirf2(optionfilefiname,"e"),jj1);
    } /* end i1 */     } /* end i1 */
  }/* End k1 */   }/* End k1 */
  fprintf(fichtm,"</ul>");   fprintf(fichtm,"</ul>");
Line 3741  int fileappend(FILE *fichier, char *opti Line 3743  int fileappend(FILE *fichier, char *opti
   fflush(fichier);    fflush(fichier);
   return (1);    return (1);
 }  }
   
   
   /**************** function prwizard **********************/
 void prwizard(int ncovmodel, int nlstate, int ndeath,  char model[], FILE *ficparo)  void prwizard(int ncovmodel, int nlstate, int ndeath,  char model[], FILE *ficparo)
 {  {
   
     /* Wizard to print covariance matrix template */
   
   char ca[32], cb[32], cc[32];    char ca[32], cb[32], cc[32];
   int i,j, k, l, li, lj, lk, ll, jj, npar, itimes;    int i,j, k, l, li, lj, lk, ll, jj, npar, itimes;
   int numlinepar;    int numlinepar;
Line 3857  void prwizard(int ncovmodel, int nlstate Line 3864  void prwizard(int ncovmodel, int nlstate
         } /* end k*/          } /* end k*/
       } /*end j */        } /*end j */
     } /* end i */      } /* end i */
   }    } /* end itimes */
   
 } /* end of prwizard */  } /* end of prwizard */
   
Line 3870  int main(int argc, char *argv[]) Line 3877  int main(int argc, char *argv[])
 {  {
   int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav);    int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav);
   int i,j, k, n=MAXN,iter,m,size=100,cptcode, cptcod;    int i,j, k, n=MAXN,iter,m,size=100,cptcode, cptcod;
   int jj, imk;    int jj, ll, li, lj, lk, imk;
   int numlinepar=0; /* Current linenumber of parameter file */    int numlinepar=0; /* Current linenumber of parameter file */
     int itimes;
   
     char ca[32], cb[32], cc[32];
   /*  FILE *fichtm; *//* Html File */    /*  FILE *fichtm; *//* Html File */
   /* FILE *ficgp;*/ /*Gnuplot File */    /* FILE *ficgp;*/ /*Gnuplot File */
   double agedeb, agefin,hf;    double agedeb, agefin,hf;
Line 3926  int main(int argc, char *argv[]) Line 3936  int main(int argc, char *argv[])
   
   long total_usecs;    long total_usecs;
     
   /*   setlocale (LC_ALL, ""); */
   /*   bindtextdomain (PACKAGE, LOCALEDIR); */
   /*   textdomain (PACKAGE); */
   /*   setlocale (LC_CTYPE, ""); */
   /*   setlocale (LC_MESSAGES, ""); */
   
   /*   gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */    /*   gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */
   (void) gettimeofday(&start_time,&tzp);    (void) gettimeofday(&start_time,&tzp);
   curr_time=start_time;    curr_time=start_time;
Line 3999  int main(int argc, char *argv[]) Line 4015  int main(int argc, char *argv[])
  optionfilext=%s\n\   optionfilext=%s\n\
  optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);   optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);
   
   printf("Localtime (at start):%s",strstart);    printf("Local time (at start):%s",strstart);
   fprintf(ficlog,"Localtime (at start): %s",strstart);    fprintf(ficlog,"Local time (at start): %s",strstart);
   fflush(ficlog);    fflush(ficlog);
 /*   (void) gettimeofday(&curr_time,&tzp); */  /*   (void) gettimeofday(&curr_time,&tzp); */
 /*   printf("Elapsed time %d\n", asc_diff_time(curr_time.tv_sec-start_time.tv_sec,tmpout)); */  /*   printf("Elapsed time %d\n", asc_diff_time(curr_time.tv_sec-start_time.tv_sec,tmpout)); */
Line 4472  int main(int argc, char *argv[]) Line 4488  int main(int argc, char *argv[])
   
 }*/  }*/
   
   
   printf("Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);    printf("Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);
   fprintf(ficlog,"Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);     fprintf(ficlog,"Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax); 
   
Line 4576  Title=%s <br>Datafile=%s Firstpass=%d La Line 4593  Title=%s <br>Datafile=%s Firstpass=%d La
   strcpy(pathr,path);    strcpy(pathr,path);
   strcat(pathr,optionfilefiname);    strcat(pathr,optionfilefiname);
   chdir(optionfilefiname); /* Move to directory named optionfile */    chdir(optionfilefiname); /* Move to directory named optionfile */
   strcpy(lfileres,fileres);  
   strcat(lfileres,"/");  
   strcat(lfileres,optionfilefiname);  
       
   /* Calculates basic frequencies. Computes observed prevalence at single age    /* Calculates basic frequencies. Computes observed prevalence at single age
      and prints on file fileres'p'. */       and prints on file fileres'p'. */
Line 4620  Interval (in months) between two waves: Line 4634  Interval (in months) between two waves:
   fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model);    fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model);
       
   
   jk=1;  
   fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");    fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
   printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");    printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
   fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");    fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
   for(i=1,jk=1; i <=nlstate; i++){    for(i=1,jk=1; i <=nlstate; i++){
     for(k=1; k <=(nlstate+ndeath); k++){      for(k=1; k <=(nlstate+ndeath); k++){
       if (k != i)         if (k != i) {
         {          printf("%d%d ",i,k);
           printf("%d%d ",i,k);          fprintf(ficlog,"%d%d ",i,k);
           fprintf(ficlog,"%d%d ",i,k);          fprintf(ficres,"%1d%1d ",i,k);
           fprintf(ficres,"%1d%1d ",i,k);          for(j=1; j <=ncovmodel; j++){
           for(j=1; j <=ncovmodel; j++){            printf("%f ",p[jk]);
             printf("%f ",p[jk]);            fprintf(ficlog,"%f ",p[jk]);
             fprintf(ficlog,"%f ",p[jk]);            fprintf(ficres,"%f ",p[jk]);
             fprintf(ficres,"%f ",p[jk]);            jk++; 
             jk++;   
           }  
           printf("\n");  
           fprintf(ficlog,"\n");  
           fprintf(ficres,"\n");  
         }          }
           printf("\n");
           fprintf(ficlog,"\n");
           fprintf(ficres,"\n");
         }
     }      }
   }    }
   if(mle!=0){    if(mle!=0){
Line 4671  Interval (in months) between two waves: Line 4683  Interval (in months) between two waves:
   }    }
         
   fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");    fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");
   if(mle==1)    if(mle>=1)
     printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");      printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");
   fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");    fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");
   for(i=1,k=1;i<=npar;i++){  /* # 121 Var(a12)\n\ */
     /*  if (k>nlstate) k=1;  /* # 122 Cov(b12,a12) Var(b12)\n\ */
         i1=(i-1)/(ncovmodel*nlstate)+1;   /* # 131 Cov(a13,a12) Cov(a13,b12, Var(a13)\n\ */
         fprintf(ficres,"%s%d%d",alph[k],i1,tab[i]);  /* # 132 Cov(b13,a12) Cov(b13,b12, Cov(b13,a13) Var(b13)\n\ */
         printf("%s%d%d",alph[k],i1,tab[i]);  /* # 212 Cov(a21,a12) Cov(a21,b12, Cov(a21,a13) Cov(a21,b13) Var(a21)\n\ */
     */  /* # 212 Cov(b21,a12) Cov(b21,b12, Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21)\n\ */
     fprintf(ficres,"%3d",i);  /* # 232 Cov(a23,a12) Cov(a23,b12, Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23)\n\ */
     if(mle==1)  /* # 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n" */
       printf("%3d",i);  
     fprintf(ficlog,"%3d",i);  
     for(j=1; j<=i;j++){  /* Just to have a covariance matrix which will be more understandable
       fprintf(ficres," %.5e",matcov[i][j]);     even is we still don't want to manage dictionary of variables
       if(mle==1)  */
         printf(" %.5e",matcov[i][j]);    for(itimes=1;itimes<=2;itimes++){
       fprintf(ficlog," %.5e",matcov[i][j]);      jj=0;
     }      for(i=1; i <=nlstate; i++){
     fprintf(ficres,"\n");        for(j=1; j <=nlstate+ndeath; j++){
     if(mle==1)          if(j==i) continue;
       printf("\n");          for(k=1; k<=ncovmodel;k++){
     fprintf(ficlog,"\n");            jj++;
     k++;            ca[0]= k+'a'-1;ca[1]='\0';
   }            if(itimes==1){
                  if(mle>=1)
                 printf("#%1d%1d%d",i,j,k);
               fprintf(ficlog,"#%1d%1d%d",i,j,k);
               fprintf(ficres,"#%1d%1d%d",i,j,k);
             }else{
               if(mle>=1)
                 printf("%1d%1d%d",i,j,k);
               fprintf(ficlog,"%1d%1d%d",i,j,k);
               fprintf(ficres,"%1d%1d%d",i,j,k);
             }
             ll=0;
             for(li=1;li <=nlstate; li++){
               for(lj=1;lj <=nlstate+ndeath; lj++){
                 if(lj==li) continue;
                 for(lk=1;lk<=ncovmodel;lk++){
                   ll++;
                   if(ll<=jj){
                     cb[0]= lk +'a'-1;cb[1]='\0';
                     if(ll<jj){
                       if(itimes==1){
                         if(mle>=1)
                           printf(" Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
                         fprintf(ficlog," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
                         fprintf(ficres," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
                       }else{
                         if(mle>=1)
                           printf(" %.5e",matcov[jj][ll]); 
                         fprintf(ficlog," %.5e",matcov[jj][ll]); 
                         fprintf(ficres," %.5e",matcov[jj][ll]); 
                       }
                     }else{
                       if(itimes==1){
                         if(mle>=1)
                           printf(" Var(%s%1d%1d)",ca,i,j);
                         fprintf(ficlog," Var(%s%1d%1d)",ca,i,j);
                         fprintf(ficres," Var(%s%1d%1d)",ca,i,j);
                       }else{
                         if(mle>=1)
                           printf(" %.5e",matcov[jj][ll]); 
                         fprintf(ficlog," %.5e",matcov[jj][ll]); 
                         fprintf(ficres," %.5e",matcov[jj][ll]); 
                       }
                     }
                   }
                 } /* end lk */
               } /* end lj */
             } /* end li */
             if(mle>=1)
               printf("\n");
             fprintf(ficlog,"\n");
             fprintf(ficres,"\n");
             numlinepar++;
           } /* end k*/
         } /*end j */
       } /* end i */
     } /* end itimes */
   
     fflush(ficlog);
     fflush(ficres);
   
   while((c=getc(ficpar))=='#' && c!= EOF){    while((c=getc(ficpar))=='#' && c!= EOF){
     ungetc(c,ficpar);      ungetc(c,ficpar);
     fgets(line, MAXLINE, ficpar);      fgets(line, MAXLINE, ficpar);
Line 4770  Interval (in months) between two waves: Line 4841  Interval (in months) between two waves:
   }    }
   ungetc(c,ficpar);    ungetc(c,ficpar);
   
   fscanf(ficpar,"popforecast=%d popfile=%s popfiledate=%lf/%lf/%lf last-popfiledate=%lf/%lf/%lf\n",&popforecast,popfile,&jpyram,&mpyram,&anpyram,&jpyram1,&mpyram1,&anpyram1);    /*  fscanf(ficpar,"popforecast=%d popfile=%s popfiledate=%lf/%lf/%lf last-popfiledate=%lf/%lf/%lf\n",&popforecast,popfile,&jpyram,&mpyram,&anpyram,&jpyram1,&mpyram1,&anpyram1);
   fprintf(ficparo,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);    fprintf(ficparo,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);
   fprintf(ficres,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);    fprintf(ficres,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);*/
   
   /*  freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint);*/    /*  freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint);*/
   /*,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/    /*,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
Line 4911  Interval (in months) between two waves: Line 4982  Interval (in months) between two waves:
   fclose(ficrespij);    fclose(ficrespij);
   
   probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);    probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
     for(i=1;i<=AGESUP;i++)
       for(j=1;j<=NCOVMAX;j++)
         for(k=1;k<=NCOVMAX;k++)
           probs[i][j][k]=0.;
   
   /*---------- Forecasting ------------------*/    /*---------- Forecasting ------------------*/
   /*if((stepm == 1) && (strcmp(model,".")==0)){*/    /*if((stepm == 1) && (strcmp(model,".")==0)){*/
Line 5107  ageminpar, agemax, s[lastpass][imx], age Line 5182  ageminpar, agemax, s[lastpass][imx], age
       
   
   if((nberr >0) || (nbwarn>0)){    if((nberr >0) || (nbwarn>0)){
     printf("End of Imach with %d errors and/or warnings %d\n",nberr,nbwarn);      printf("End of Imach with %d errors and/or %d warnings\n",nberr,nbwarn);
     fprintf(ficlog,"End of Imach with %d errors and/or warnings %d\n",nberr,nbwarn);      fprintf(ficlog,"End of Imach with %d errors and/or warnings %d\n",nberr,nbwarn);
   }else{    }else{
     printf("End of Imach\n");      printf("End of Imach\n");
Line 5119  ageminpar, agemax, s[lastpass][imx], age Line 5194  ageminpar, agemax, s[lastpass][imx], age
   tm = *localtime(&end_time.tv_sec);    tm = *localtime(&end_time.tv_sec);
   tmg = *gmtime(&end_time.tv_sec);    tmg = *gmtime(&end_time.tv_sec);
   strcpy(strtend,asctime(&tm));    strcpy(strtend,asctime(&tm));
   printf("Localtime at start %s\nLocaltime at end   %s",strstart, strtend);     printf("Local time at start %s\nLocaltime at end   %s",strstart, strtend); 
   fprintf(ficlog,"Localtime at start %s\nLocal time at end   %s\n",strstart, strtend);     fprintf(ficlog,"Local time at start %s\nLocal time at end   %s\n",strstart, strtend); 
   printf("Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));    printf("Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));
   
   printf("Total time was %d Sec.\n", end_time.tv_sec -start_time.tv_sec);    printf("Total time was %d Sec.\n", end_time.tv_sec -start_time.tv_sec);
Removed from v.1.91  
changed lines
  Added in v.1.97

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