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Diff for /imach/src/imach.c between versions 1.37 and 1.41

version 1.37, 2002/03/29 15:31:59 version 1.41, 2002/05/07 15:53:01
Line 14 Line 14
   model. More health states you consider, more time is necessary to reach the    model. More health states you consider, more time is necessary to reach the
   Maximum Likelihood of the parameters involved in the model.  The    Maximum Likelihood of the parameters involved in the model.  The
   simplest model is the multinomial logistic model where pij is the    simplest model is the multinomial logistic model where pij is the
   probabibility to be observed in state j at the second wave    probability to be observed in state j at the second wave
   conditional to be observed in state i at the first wave. Therefore    conditional to be observed in state i at the first wave. Therefore
   the model is: log(pij/pii)= aij + bij*age+ cij*sex + etc , where    the model is: log(pij/pii)= aij + bij*age+ cij*sex + etc , where
   'age' is age and 'sex' is a covariate. If you want to have a more    'age' is age and 'sex' is a covariate. If you want to have a more
Line 1352  void prevalence(int agemin, float agemax Line 1352  void prevalence(int agemin, float agemax
             if ((k2>=dateprev1) && (k2<=dateprev2)) {              if ((k2>=dateprev1) && (k2<=dateprev2)) {
               if(agev[m][i]==0) agev[m][i]=agemax+1;                if(agev[m][i]==0) agev[m][i]=agemax+1;
               if(agev[m][i]==1) agev[m][i]=agemax+2;                if(agev[m][i]==1) agev[m][i]=agemax+2;
               if (m<lastpass) freq[s[m][i]][s[m+1][i]][(int)(agev[m][i]+1-((int)calagedate %12)/12.)] += weight[i];                if (m<lastpass)
               /* freq[s[m][i]][s[m+1][i]][(int)(agemax+3+1)] += weight[i];  */                  if (calagedate>0) freq[s[m][i]][s[m+1][i]][(int)(agev[m][i]+1-((int)calagedate %12)/12.)] += weight[i];
                 else
                  freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];
                  freq[s[m][i]][s[m+1][i]][(int)(agemax+3)] += weight[i];
             }              }
           }            }
         }          }
Line 1386  void prevalence(int agemin, float agemax Line 1389  void prevalence(int agemin, float agemax
         }          }
     }      }
   }    }
    
     
   free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3);    free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3);
   free_vector(pp,1,nlstate);    free_vector(pp,1,nlstate);
Line 1503  void tricode(int *Tvar, int **nbcode, in Line 1506  void tricode(int *Tvar, int **nbcode, in
       for (k=0; k<=19; k++) {        for (k=0; k<=19; k++) {
         if (Ndum[k] != 0) {          if (Ndum[k] != 0) {
           nbcode[Tvar[j]][ij]=k;            nbcode[Tvar[j]][ij]=k;
           /*     printf("nbcodeaaaaaaaaaaa=%d Tvar[j]=%d ij=%d j=%d",nbcode[Tvar[j]][ij],Tvar[j],ij,j);*/           
           ij++;            ij++;
         }          }
         if (ij > ncodemax[j]) break;          if (ij > ncodemax[j]) break;
Line 1531  void tricode(int *Tvar, int **nbcode, in Line 1534  void tricode(int *Tvar, int **nbcode, in
   
 /*********** Health Expectancies ****************/  /*********** Health Expectancies ****************/
   
 void evsij(char fileres[], double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int ij, int estepm)  void evsij(char fileres[], double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int ij, int estepm,double delti[],double **matcov )
   
 {  {
   /* Health expectancies */    /* Health expectancies */
   int i, j, nhstepm, hstepm, h, nstepm;    int i, j, nhstepm, hstepm, h, nstepm, k, cptj;
   double age, agelim, hf;    double age, agelim, hf;
   double ***p3mat;    double ***p3mat,***varhe;
     double **dnewm,**doldm;
     double *xp;
     double **gp, **gm;
     double ***gradg, ***trgradg;
     int theta;
   
     varhe=ma3x(1,nlstate*2,1,nlstate*2,(int) bage, (int) fage);
     xp=vector(1,npar);
     dnewm=matrix(1,nlstate*2,1,npar);
     doldm=matrix(1,nlstate*2,1,nlstate*2);
     
   fprintf(ficreseij,"# Health expectancies\n");    fprintf(ficreseij,"# Health expectancies\n");
   fprintf(ficreseij,"# Age");    fprintf(ficreseij,"# Age");
   for(i=1; i<=nlstate;i++)    for(i=1; i<=nlstate;i++)
     for(j=1; j<=nlstate;j++)      for(j=1; j<=nlstate;j++)
       fprintf(ficreseij," %1d-%1d",i,j);        fprintf(ficreseij," %1d-%1d (SE)",i,j);
   fprintf(ficreseij,"\n");    fprintf(ficreseij,"\n");
   
   if(estepm < stepm){    if(estepm < stepm){
Line 1582  void evsij(char fileres[], double ***eij Line 1596  void evsij(char fileres[], double ***eij
     /* if (stepm >= YEARM) hstepm=1;*/      /* if (stepm >= YEARM) hstepm=1;*/
     nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */      nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
     p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);      p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
       gradg=ma3x(0,nhstepm,1,npar,1,nlstate*2);
       gp=matrix(0,nhstepm,1,nlstate*2);
       gm=matrix(0,nhstepm,1,nlstate*2);
   
     /* Computed by stepm unit matrices, product of hstepm matrices, stored      /* Computed by stepm unit matrices, product of hstepm matrices, stored
        in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */         in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */
     hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, ij);        hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, ij);  
    
   
     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 */
   
        for(theta=1; theta <=npar; theta++){
         for(i=1; i<=npar; i++){
           xp[i] = x[i] + (i==theta ?delti[theta]:0);
         }
         hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);  
    
         cptj=0;
         for(j=1; j<= nlstate; j++){
           for(i=1; i<=nlstate; i++){
             cptj=cptj+1;
             for(h=0, gp[h][cptj]=0.; h<=nhstepm-1; h++){
               gp[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.;
             }
           }
         }
        
        
         for(i=1; i<=npar; i++)
           xp[i] = x[i] - (i==theta ?delti[theta]:0);
         hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);  
        
         cptj=0;
         for(j=1; j<= nlstate; j++){
           for(i=1;i<=nlstate;i++){
             cptj=cptj+1;
             for(h=0, gm[h][cptj]=0.; h<=nhstepm-1; h++){
               gm[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.;
             }
           }
         }
        
      
   
         for(j=1; j<= nlstate*2; j++)
           for(h=0; h<=nhstepm-1; h++){
             gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
           }
   
        }
      
   /* End theta */
   
        trgradg =ma3x(0,nhstepm,1,nlstate*2,1,npar);
   
        for(h=0; h<=nhstepm-1; h++)
         for(j=1; j<=nlstate*2;j++)
           for(theta=1; theta <=npar; theta++)
           trgradg[h][j][theta]=gradg[h][theta][j];
   
   
        for(i=1;i<=nlstate*2;i++)
         for(j=1;j<=nlstate*2;j++)
           varhe[i][j][(int)age] =0.;
   
       for(h=0;h<=nhstepm-1;h++){
         for(k=0;k<=nhstepm-1;k++){
           matprod2(dnewm,trgradg[h],1,nlstate*2,1,npar,1,npar,matcov);
           matprod2(doldm,dnewm,1,nlstate*2,1,npar,1,nlstate*2,gradg[k]);
           for(i=1;i<=nlstate*2;i++)
             for(j=1;j<=nlstate*2;j++)
               varhe[i][j][(int)age] += doldm[i][j]*hf*hf;
         }
       }
   
        
       /* Computing expectancies */
     for(i=1; i<=nlstate;i++)      for(i=1; i<=nlstate;i++)
       for(j=1; j<=nlstate;j++)        for(j=1; j<=nlstate;j++)
         for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){          for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){
           eij[i][j][(int)age] += (p3mat[i][j][h]+p3mat[i][j][h+1])/2.0*hf;            eij[i][j][(int)age] += (p3mat[i][j][h]+p3mat[i][j][h+1])/2.0*hf;
           /* if((int)age==70)printf("i=%2d,j=%2d,h=%2d,age=%3d,%9.4f,%9.4f,%9.4f\n",i,j,h,(int)age,p3mat[i][j][h],hf,eij[i][j][(int)age]);*/           
   /* if((int)age==70)printf("i=%2d,j=%2d,h=%2d,age=%3d,%9.4f,%9.4f,%9.4f\n",i,j,h,(int)age,p3mat[i][j][h],hf,eij[i][j][(int)age]);*/
   
         }          }
   
     fprintf(ficreseij,"%3.0f",age );      fprintf(ficreseij,"%3.0f",age );
       cptj=0;
     for(i=1; i<=nlstate;i++)      for(i=1; i<=nlstate;i++)
       for(j=1; j<=nlstate;j++){        for(j=1; j<=nlstate;j++){
         fprintf(ficreseij," %9.4f", eij[i][j][(int)age]);          cptj++;
           fprintf(ficreseij," %9.4f (%.4f)", eij[i][j][(int)age], sqrt(varhe[cptj][cptj][(int)age]) );
       }        }
     fprintf(ficreseij,"\n");      fprintf(ficreseij,"\n");
      
       free_matrix(gm,0,nhstepm,1,nlstate*2);
       free_matrix(gp,0,nhstepm,1,nlstate*2);
       free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate*2);
       free_ma3x(trgradg,0,nhstepm,1,nlstate*2,1,npar);
     free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);      free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
   }    }
     free_vector(xp,1,npar);
     free_matrix(dnewm,1,nlstate*2,1,npar);
     free_matrix(doldm,1,nlstate*2,1,nlstate*2);
     free_ma3x(varhe,1,nlstate*2,1,nlstate*2,(int) bage, (int)fage);
 }  }
   
 /************ Variance ******************/  /************ Variance ******************/
Line 1822  void varprevlim(char fileres[], double * Line 1925  void varprevlim(char fileres[], double *
 }  }
   
 /************ Variance of one-step probabilities  ******************/  /************ Variance of one-step probabilities  ******************/
 void varprob(char fileres[], double **matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij)  void varprob(char fileres[], double **matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij, int *Tvar, int **nbcode, int *ncodemax)
 {  {
   int i, j;    int i, j, i1, k1, j1, z1;
   int k=0, cptcode;    int k=0, cptcode;
   double **dnewm,**doldm;    double **dnewm,**doldm;
   double *xp;    double *xp;
Line 1839  void varprob(char fileres[], double **ma Line 1942  void varprob(char fileres[], double **ma
   if((ficresprob=fopen(fileresprob,"w"))==NULL) {    if((ficresprob=fopen(fileresprob,"w"))==NULL) {
     printf("Problem with resultfile: %s\n", fileresprob);      printf("Problem with resultfile: %s\n", fileresprob);
   }    }
   printf("Computing variance of one-step probabilities: result on file '%s' \n",fileresprob);    printf("Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob);
     
   fprintf(ficresprob,"#One-step probabilities and standard deviation in parentheses\n");
     fprintf(ficresprob,"# Age");
     for(i=1; i<=nlstate;i++)
       for(j=1; j<=(nlstate+ndeath);j++)
         fprintf(ficresprob," p%1d-%1d (SE)",i,j);
   
   
     fprintf(ficresprob,"\n");
   
   
   xp=vector(1,npar);    xp=vector(1,npar);
   dnewm=matrix(1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);    dnewm=matrix(1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
   doldm=matrix(1,(nlstate+ndeath)*(nlstate+ndeath),1,(nlstate+ndeath)*(nlstate+ndeath));    doldm=matrix(1,(nlstate+ndeath)*(nlstate+ndeath),1,(nlstate+ndeath)*(nlstate+ndeath));
     
   cov[1]=1;    cov[1]=1;
   for (age=bage; age<=fage; age ++){    j=cptcoveff;
     cov[2]=age;    if (cptcovn<1) {j=1;ncodemax[1]=1;}
     gradg=matrix(1,npar,1,9);    j1=0;
     trgradg=matrix(1,9,1,npar);    for(k1=1; k1<=1;k1++){
     gp=vector(1,(nlstate+ndeath)*(nlstate+ndeath));      for(i1=1; i1<=ncodemax[k1];i1++){
     gm=vector(1,(nlstate+ndeath)*(nlstate+ndeath));      j1++;
   
       if  (cptcovn>0) {
         fprintf(ficresprob, "\n#********** Variable ");
         for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
         fprintf(ficresprob, "**********\n#");
       }
         
     for(theta=1; theta <=npar; theta++){        for (age=bage; age<=fage; age ++){
       for(i=1; i<=npar; i++)          cov[2]=age;
         xp[i] = x[i] + (i==theta ?delti[theta]:0);          for (k=1; k<=cptcovn;k++) {
                  cov[2+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]];
       pmij(pmmij,cov,ncovmodel,xp,nlstate);           
      
       k=0;  
       for(i=1; i<= (nlstate+ndeath); i++){  
         for(j=1; j<=(nlstate+ndeath);j++){  
            k=k+1;  
           gp[k]=pmmij[i][j];  
         }          }
       }          for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
           for (k=1; k<=cptcovprod;k++)
       for(i=1; i<=npar; i++)            cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];
         xp[i] = x[i] - (i==theta ?delti[theta]:0);         
           gradg=matrix(1,npar,1,9);
           trgradg=matrix(1,9,1,npar);
           gp=vector(1,(nlstate+ndeath)*(nlstate+ndeath));
           gm=vector(1,(nlstate+ndeath)*(nlstate+ndeath));
         
           for(theta=1; theta <=npar; theta++){
       pmij(pmmij,cov,ncovmodel,xp,nlstate);            for(i=1; i<=npar; i++)
       k=0;              xp[i] = x[i] + (i==theta ?delti[theta]:0);
       for(i=1; i<=(nlstate+ndeath); i++){           
         for(j=1; j<=(nlstate+ndeath);j++){            pmij(pmmij,cov,ncovmodel,xp,nlstate);
           k=k+1;           
           gm[k]=pmmij[i][j];            k=0;
         }            for(i=1; i<= (nlstate+ndeath); i++){
       }              for(j=1; j<=(nlstate+ndeath);j++){
                 k=k+1;
                 gp[k]=pmmij[i][j];
               }
             }
            
             for(i=1; i<=npar; i++)
               xp[i] = x[i] - (i==theta ?delti[theta]:0);
      
             pmij(pmmij,cov,ncovmodel,xp,nlstate);
             k=0;
             for(i=1; i<=(nlstate+ndeath); i++){
               for(j=1; j<=(nlstate+ndeath);j++){
                 k=k+1;
                 gm[k]=pmmij[i][j];
               }
             }
             
        for(i=1; i<= (nlstate+ndeath)*(nlstate+ndeath); i++)            for(i=1; i<= (nlstate+ndeath)*(nlstate+ndeath); i++)
            gradg[theta][i]=(gp[i]-gm[i])/2./delti[theta];                gradg[theta][i]=(gp[i]-gm[i])/2./delti[theta];  
     }          }
   
      for(j=1; j<=(nlstate+ndeath)*(nlstate+ndeath);j++)  
       for(theta=1; theta <=npar; theta++)  
       trgradg[j][theta]=gradg[theta][j];  
    
      matprod2(dnewm,trgradg,1,9,1,npar,1,npar,matcov);  
      matprod2(doldm,dnewm,1,9,1,npar,1,9,gradg);  
   
      pmij(pmmij,cov,ncovmodel,x,nlstate);  
   
      k=0;          for(j=1; j<=(nlstate+ndeath)*(nlstate+ndeath);j++)
      for(i=1; i<=(nlstate+ndeath); i++){            for(theta=1; theta <=npar; theta++)
        for(j=1; j<=(nlstate+ndeath);j++){              trgradg[j][theta]=gradg[theta][j];
          k=k+1;         
          gm[k]=pmmij[i][j];          matprod2(dnewm,trgradg,1,9,1,npar,1,npar,matcov);
           matprod2(doldm,dnewm,1,9,1,npar,1,9,gradg);
          
           pmij(pmmij,cov,ncovmodel,x,nlstate);
          
           k=0;
           for(i=1; i<=(nlstate+ndeath); i++){
             for(j=1; j<=(nlstate+ndeath);j++){
               k=k+1;
               gm[k]=pmmij[i][j];
             }
         }          }
      }  
             
      /*printf("\n%d ",(int)age);       /*printf("\n%d ",(int)age);
      for (i=1; i<=(nlstate+ndeath)*(nlstate+ndeath-1);i++){       for (i=1; i<=(nlstate+ndeath)*(nlstate+ndeath-1);i++){
          
   
        printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i]));         printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i]));
      }*/       }*/
   
   fprintf(ficresprob,"\n%d ",(int)age);          fprintf(ficresprob,"\n%d ",(int)age);
   
   for (i=1; i<=(nlstate+ndeath)*(nlstate+ndeath-1);i++){  
     if (i== 2) fprintf(ficresprob,"%.3e %.3e ",gm[i],doldm[i][i]);  
 if (i== 4) fprintf(ficresprob,"%.3e %.3e ",gm[i],doldm[i][i]);  
   }  
   
           for (i=1; i<=(nlstate+ndeath)*(nlstate+ndeath-1);i++)
             fprintf(ficresprob,"%.3e (%.3e) ",gm[i],sqrt(doldm[i][i]));
    
         }
       }
     free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath));      free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath));
     free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath));      free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath));
     free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);      free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
     free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);      free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
 }    }
  free_vector(xp,1,npar);    free_vector(xp,1,npar);
 fclose(ficresprob);    fclose(ficresprob);
    
 }  }
   
 /******************* Printing html file ***********/  /******************* Printing html file ***********/
Line 1954  Interval (in months) between two waves: Line 2084  Interval (in months) between two waves:
  - Observed prevalence in each state: <a href=\"p%s\">p%s</a> <br>\n   - Observed prevalence in each state: <a href=\"p%s\">p%s</a> <br>\n
  - Stationary prevalence in each state: <a href=\"pl%s\">pl%s</a> <br>\n   - Stationary prevalence in each state: <a href=\"pl%s\">pl%s</a> <br>\n
  - Transition probabilities: <a href=\"pij%s\">pij%s</a><br>\n   - Transition probabilities: <a href=\"pij%s\">pij%s</a><br>\n
  - Life expectancies by age and initial health status (estepm=%2d months): <a href=\"e%s\">e%s</a> <br>\n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,optionfilegnuplot,optionfilegnuplot,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,estepm);   - Life expectancies by age and initial health status (estepm=%2d months): <a href=\"e%s\">e%s</a> <br>\n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,optionfilegnuplot,optionfilegnuplot,fileres,fileres,fileres,fileres,fileres,fileres,estepm,fileres,fileres);
   
  fprintf(fichtm,"\n   fprintf(fichtm,"\n
  - Parameter file with estimated parameters and the covariance matrix: <a href=\"%s\">%s</a> <br>\n   - Parameter file with estimated parameters and the covariance matrix: <a href=\"%s\">%s</a> <br>\n
  - Variances of life expectancies by age and initial health status (estepm=%d months): <a href=\"v%s\">v%s</a><br>\n    - Variance of one-step probabilities: <a href=\"prob%s\">prob%s</a> <br>\n
    - Variances of life expectancies by age and initial health status (estepm=%d months): <a href=\"v%s\">v%s</a><br>\n
  - Health expectancies with their variances: <a href=\"t%s\">t%s</a> <br>\n   - Health expectancies with their variances: <a href=\"t%s\">t%s</a> <br>\n
  - Standard deviation of stationary prevalences: <a href=\"vpl%s\">vpl%s</a> <br>\n",rfileres,rfileres, estepm, fileres,fileres,fileres,fileres,fileres,fileres);   - Standard deviation of stationary prevalences: <a href=\"vpl%s\">vpl%s</a> <br>\n",rfileres,rfileres,fileres,fileres, estepm, fileres,fileres,fileres,fileres,fileres,fileres);
   
  if(popforecast==1) fprintf(fichtm,"\n   if(popforecast==1) fprintf(fichtm,"\n
  - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n   - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n
Line 2090  fprintf(ficgp,"\nset out \"v%s%d%d.gif\" Line 2221  fprintf(ficgp,"\nset out \"v%s%d%d.gif\"
   
   for (k1=1; k1<= m ; k1 ++) {    for (k1=1; k1<= m ; k1 ++) {
     for (cpt=1; cpt<= nlstate ; cpt ++) {      for (cpt=1; cpt<= nlstate ; cpt ++) {
       k=2+nlstate*(cpt-1);        k=2+nlstate*(2*cpt-2);
       fprintf(ficgp,"set ter gif small size 400,300\nplot [%.f:%.f] \"e%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,fileres,k1-1,k1-1,k,cpt);        fprintf(ficgp,"set ter gif small size 400,300\nplot [%.f:%.f] \"e%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,fileres,k1-1,k1-1,k,cpt);
         /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
    for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
   fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
   fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d+2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
    for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
   fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
   
   */
       for (i=1; i< nlstate ; i ++) {        for (i=1; i< nlstate ; i ++) {
         fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",fileres,k1-1,k1-1,k+i,cpt,i+1);          fprintf(ficgp," ,\"e%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",fileres,k1-1,k1-1,k+2*i,cpt,i+1);
   
       }        }
       fprintf(ficgp,"\nset out \"exp%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1);        fprintf(ficgp,"\nset out \"exp%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1);
     }      }
Line 2493  int main(int argc, char *argv[]) Line 2633  int main(int argc, char *argv[])
   int jnais,jdc,jint4,jint1,jint2,jint3,**outcome,**adl,*tab;    int jnais,jdc,jint4,jint1,jint2,jint3,**outcome,**adl,*tab;
   int mobilav=0,popforecast=0;    int mobilav=0,popforecast=0;
   int hstepm, nhstepm;    int hstepm, nhstepm;
   double jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,jpyram, mpyram,anpyram,jpyram1, mpyram1,anpyram1;    double jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,jpyram, mpyram,anpyram,jpyram1, mpyram1,anpyram1, calagedate;
   
   double bage, fage, age, agelim, agebase;    double bage, fage, age, agelim, agebase;
   double ftolpl=FTOL;    double ftolpl=FTOL;
Line 2511  int main(int argc, char *argv[]) Line 2651  int main(int argc, char *argv[])
   double dateprev1, dateprev2,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2;    double dateprev1, dateprev2,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2;
     
   
   char version[80]="Imach version 0.8b, March 2002, INED-EUROREVES ";    char version[80]="Imach version 0.8a, May 2002, INED-EUROREVES ";
   char *alph[]={"a","a","b","c","d","e"}, str[4];    char *alph[]={"a","a","b","c","d","e"}, str[4];
   
   
Line 2751  while((c=getc(ficpar))=='#' && c!= EOF){ Line 2891  while((c=getc(ficpar))=='#' && c!= EOF){
     if ((s[2][i]==3) && (s[3][i]==2)) s[3][i]=3;      if ((s[2][i]==3) && (s[3][i]==2)) s[3][i]=3;
     if ((s[3][i]==3) && (s[4][i]==2)) s[4][i]=3;      if ((s[3][i]==3) && (s[4][i]==2)) s[4][i]=3;
     }*/      }*/
       /*  for (i=1; i<=imx; i++){
   /* for (i=1; i<=imx; i++){  
      if (s[4][i]==9)  s[4][i]=-1;       if (s[4][i]==9)  s[4][i]=-1;
      printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]), (weight[i]), (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]),  (mint[2][i]), (anint[2][i]), (s[2][i]),  (mint[3][i]), (anint[3][i]), (s[3][i]),  (mint[4][i]), (anint[4][i]), (s[4][i]));}       printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]), (weight[i]), (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]),  (mint[2][i]), (anint[2][i]), (s[2][i]),  (mint[3][i]), (anint[3][i]), (s[3][i]),  (mint[4][i]), (anint[4][i]), (s[4][i]));}*/
   */   
     
   /* Calculation of the number of parameter from char model*/    /* Calculation of the number of parameter from char model*/
   Tvar=ivector(1,15);    Tvar=ivector(1,15);
Line 3207  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3346  while((c=getc(ficpar))=='#' && c!= EOF){
             for(j=1; j<=nlstate+ndeath;j++)              for(j=1; j<=nlstate+ndeath;j++)
               fprintf(ficrespij," %1d-%1d",i,j);                fprintf(ficrespij," %1d-%1d",i,j);
           fprintf(ficrespij,"\n");            fprintf(ficrespij,"\n");
           for (h=0; h<=nhstepm; h++){             for (h=0; h<=nhstepm; h++){
             fprintf(ficrespij,"%d %.0f %.0f",k,agedeb, agedeb+ h*hstepm/YEARM*stepm );              fprintf(ficrespij,"%d %.0f %.0f",k,agedeb, agedeb+ h*hstepm/YEARM*stepm );
             for(i=1; i<=nlstate;i++)              for(i=1; i<=nlstate;i++)
               for(j=1; j<=nlstate+ndeath;j++)                for(j=1; j<=nlstate+ndeath;j++)
                 fprintf(ficrespij," %.5f", p3mat[i][j][h]);                  fprintf(ficrespij," %.5f", p3mat[i][j][h]);
             fprintf(ficrespij,"\n");              fprintf(ficrespij,"\n");
           }               }
           free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);            free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
           fprintf(ficrespij,"\n");            fprintf(ficrespij,"\n");
         }          }
     }      }
   }    }
   
   /* varprob(fileres, matcov, p, delti, nlstate, (int) bage, (int) fage,k);*/    varprob(fileres, matcov, p, delti, nlstate, (int) bage, (int) fage,k,Tvar,nbcode, ncodemax);
   
   fclose(ficrespij);    fclose(ficrespij);
   
Line 3229  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3368  while((c=getc(ficpar))=='#' && c!= EOF){
   if((stepm == 1) && (strcmp(model,".")==0)){    if((stepm == 1) && (strcmp(model,".")==0)){
     prevforecast(fileres, anproj1,mproj1,jproj1, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anproj2,p, i1);      prevforecast(fileres, anproj1,mproj1,jproj1, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anproj2,p, i1);
     if (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);      if (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);
     free_matrix(mint,1,maxwav,1,n);    }
     free_matrix(anint,1,maxwav,1,n); free_imatrix(s,1,maxwav+1,1,n);  
     free_vector(weight,1,n);}  
   else{    else{
     erreur=108;      erreur=108;
     printf("Warning %d!! You can only forecast the prevalences if the optimization\n  has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model);      printf("Warning %d!! You can only forecast the prevalences if the optimization\n  has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model);
Line 3261  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3398  while((c=getc(ficpar))=='#' && c!= EOF){
     printf("Problem with variance resultfile: %s\n", fileresv);exit(0);      printf("Problem with variance resultfile: %s\n", fileresv);exit(0);
   }    }
   printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);    printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
     calagedate=-1;
   prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate);
   
   k=0;    k=0;
   for(cptcov=1;cptcov<=i1;cptcov++){    for(cptcov=1;cptcov<=i1;cptcov++){
Line 3283  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3422  while((c=getc(ficpar))=='#' && c!= EOF){
   
       eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);        eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
       oldm=oldms;savm=savms;        oldm=oldms;savm=savms;
       evsij(fileres, eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm);          evsij(fileres, eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov);  
    
       vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);        vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
       oldm=oldms;savm=savms;        oldm=oldms;savm=savms;
        varevsij(fileres, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm);         varevsij(fileres, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm);
Line 3306  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3446  while((c=getc(ficpar))=='#' && c!= EOF){
         for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){          for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){
           for(i=1, epj[j]=0.;i <=nlstate;i++) {            for(i=1, epj[j]=0.;i <=nlstate;i++) {
             epj[j] += prlim[i][i]*eij[i][j][(int)age];              epj[j] += prlim[i][i]*eij[i][j][(int)age];
               /*  printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]);*/
           }            }
           epj[nlstate+1] +=epj[j];            epj[nlstate+1] +=epj[j];
         }          }
   
         for(i=1, vepp=0.;i <=nlstate;i++)          for(i=1, vepp=0.;i <=nlstate;i++)
           for(j=1;j <=nlstate;j++)            for(j=1;j <=nlstate;j++)
             vepp += vareij[i][j][(int)age];              vepp += vareij[i][j][(int)age];
         fprintf(ficrest," %7.2f (%7.2f)", epj[nlstate+1],sqrt(vepp));          fprintf(ficrest," %7.3f (%7.3f)", epj[nlstate+1],sqrt(vepp));
         for(j=1;j <=nlstate;j++){          for(j=1;j <=nlstate;j++){
           fprintf(ficrest," %7.2f (%7.2f)", epj[j],sqrt(vareij[j][j][(int)age]));            fprintf(ficrest," %7.3f (%7.3f)", epj[j],sqrt(vareij[j][j][(int)age]));
         }          }
         fprintf(ficrest,"\n");          fprintf(ficrest,"\n");
       }        }
     }      }
   }    }
   free_matrix(mint,1,maxwav,1,n);
       free_matrix(anint,1,maxwav,1,n); free_imatrix(s,1,maxwav+1,1,n);
       free_vector(weight,1,n);
   fclose(ficreseij);    fclose(ficreseij);
   fclose(ficresvij);    fclose(ficresvij);
   fclose(ficrest);    fclose(ficrest);
Removed from v.1.37  
changed lines
  Added in v.1.41

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