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Diff for /imach/src/imach.c between versions 1.37 and 1.41.2.2

version 1.37, 2002/03/29 15:31:59 version 1.41.2.2, 2003/06/13 07:45:28
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 60 Line 60
 /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/  /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/
 #define FILENAMELENGTH 80  #define FILENAMELENGTH 80
 /*#define DEBUG*/  /*#define DEBUG*/
 #define windows  
   /*#define windows*/
 #define GLOCK_ERROR_NOPATH              -1      /* empty path */  #define GLOCK_ERROR_NOPATH              -1      /* empty path */
 #define GLOCK_ERROR_GETCWD              -2      /* cannot get cwd */  #define GLOCK_ERROR_GETCWD              -2      /* cannot get cwd */
   
Line 869  double func( double *x) Line 870  double func( double *x)
   double **out;    double **out;
   double sw; /* Sum of weights */    double sw; /* Sum of weights */
   double lli; /* Individual log likelihood */    double lli; /* Individual log likelihood */
     int s1, s2;
   long ipmx;    long ipmx;
   /*extern weight */    /*extern weight */
   /* We are differentiating ll according to initial status */    /* We are differentiating ll according to initial status */
Line 883  double func( double *x) Line 885  double func( double *x)
     for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];      for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
     for(mi=1; mi<= wav[i]-1; mi++){      for(mi=1; mi<= wav[i]-1; mi++){
       for (ii=1;ii<=nlstate+ndeath;ii++)        for (ii=1;ii<=nlstate+ndeath;ii++)
         for (j=1;j<=nlstate+ndeath;j++) oldm[ii][j]=(ii==j ? 1.0 : 0.0);          for (j=1;j<=nlstate+ndeath;j++){
             oldm[ii][j]=(ii==j ? 1.0 : 0.0);
             savm[ii][j]=(ii==j ? 1.0 : 0.0);
           }
       for(d=0; d<dh[mi][i]; d++){        for(d=0; d<dh[mi][i]; d++){
         newm=savm;          newm=savm;
         cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;          cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
Line 899  double func( double *x) Line 904  double func( double *x)
                 
       } /* end mult */        } /* end mult */
             
       lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);        s1=s[mw[mi][i]][i];
       /* printf(" %f ",out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/        s2=s[mw[mi+1][i]][i];
         if( s2 > nlstate){
           /* i.e. if s2 is a death state and if the date of death is known then the contribution
              to the likelihood is the probability to die between last step unit time and current
              step unit time, which is also the differences between probability to die before dh
              and probability to die before dh-stepm .
              In version up to 0.92 likelihood was computed
              as if date of death was unknown. Death was treated as any other
              health state: the date of the interview describes the actual state
              and not the date of a change in health state. The former idea was
              to consider that at each interview the state was recorded
              (healthy, disable or death) and IMaCh was corrected; but when we
              introduced the exact date of death then we should have modified
              the contribution of an exact death to the likelihood. This new
              contribution is smaller and very dependent of the step unit
              stepm. It is no more the probability to die between last interview
              and month of death but the probability to survive from last
              interview up to one month before death multiplied by the
              probability to die within a month. Thanks to Chris
              Jackson for correcting this bug.  Former versions increased
              mortality artificially. The bad side is that we add another loop
              which slows down the processing. The difference can be up to 10%
              lower mortality.
           */
           lli=log(out[s1][s2] - savm[s1][s2]);
         }else{
           lli=log(out[s1][s2]); /* or     lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); */
           /* printf(" %f ",out[s[mw[mi][i]][i]][s[mw[mi+1][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;
         /*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d lli=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],lli,weight[i],out[s1][s2],savm[s1][s2]);*/
     } /* end of wave */      } /* end of wave */
   } /* end of individual */    } /* end of individual */
   
   for(k=1,l=0.; k<=nlstate; k++) l += ll[k];    for(k=1,l=0.; k<=nlstate; k++) l += ll[k];
   /* printf("l1=%f l2=%f ",ll[1],ll[2]); */    /* printf("l1=%f l2=%f ",ll[1],ll[2]); */
   l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */    l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */
     /*exit(0);*/
   return -l;    return -l;
 }  }
   
Line 1352  void prevalence(int agemin, float agemax Line 1387  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 1424  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 1541  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 1569  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 1631  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 1960  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 1977  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 2119  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 2027  m=pow(2,cptcoveff); Line 2193  m=pow(2,cptcoveff);
   for (cpt=1; cpt<= nlstate ; cpt ++) {    for (cpt=1; cpt<= nlstate ; cpt ++) {
    for (k1=1; k1<= m ; k1 ++) {     for (k1=1; k1<= m ; k1 ++) {
   
 #ifdef windows       fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter gif small size 400,300\nplot [%.f:%.f] \"vpl%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,fileres,k1-1,k1-1);
     fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter gif small size 400,300\nplot [%.f:%.f] \"vpl%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,fileres,k1-1,k1-1);  
 #endif  
 #ifdef unix  
 fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nplot [%.f:%.f] \"vpl%s\" u 1:2 \"\%%lf",ageminpar,fage,fileres);  
 #endif  
   
 for (i=1; i<= nlstate ; i ++) {  for (i=1; i<= nlstate ; i ++) {
   if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");    if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
Line 2049  for (i=1; i<= nlstate ; i ++) { Line 2210  for (i=1; i<= nlstate ; i ++) {
   else fprintf(ficgp," \%%*lf (\%%*lf)");    else fprintf(ficgp," \%%*lf (\%%*lf)");
 }    }  
      fprintf(ficgp,"\" t\"\" w l 1,\"p%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",fileres,k1-1,k1-1,2+4*(cpt-1));       fprintf(ficgp,"\" t\"\" w l 1,\"p%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",fileres,k1-1,k1-1,2+4*(cpt-1));
 #ifdef unix  
 fprintf(ficgp,"\nset ter gif small size 400,300");  
 #endif  
 fprintf(ficgp,"\nset out \"v%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1);  fprintf(ficgp,"\nset out \"v%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1);
    }     }
   }    }
Line 2090  fprintf(ficgp,"\nset out \"v%s%d%d.gif\" Line 2249  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 2661  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 2679  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 0.8a1, June 2003, 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 2919  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 3374  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 3396  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 3426  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 3450  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 3474  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);
Line 3382  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3554  while((c=getc(ficpar))=='#' && c!= EOF){
   
   
  end:   end:
 #ifdef windows  
   /* chdir(pathcd);*/    /* chdir(pathcd);*/
 #endif  
  /*system("wgnuplot graph.plt");*/   /*system("wgnuplot graph.plt");*/
  /*system("../gp37mgw/wgnuplot graph.plt");*/   /*system("../gp37mgw/wgnuplot graph.plt");*/
  /*system("cd ../gp37mgw");*/   /*system("cd ../gp37mgw");*/
Line 3394  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3564  while((c=getc(ficpar))=='#' && c!= EOF){
  strcat(plotcmd,optionfilegnuplot);   strcat(plotcmd,optionfilegnuplot);
  system(plotcmd);   system(plotcmd);
   
 #ifdef windows   /*#ifdef windows*/
   while (z[0] != 'q') {    while (z[0] != 'q') {
     /* chdir(path); */      /* chdir(path); */
     printf("\nType e to edit output files, g to graph again, c to start again, and q for exiting: ");      printf("\nType e to edit output files, g to graph again, c to start again, and q for exiting: ");
Line 3404  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3574  while((c=getc(ficpar))=='#' && c!= EOF){
     else if (z[0] == 'g') system(plotcmd);      else if (z[0] == 'g') system(plotcmd);
     else if (z[0] == 'q') exit(0);      else if (z[0] == 'q') exit(0);
   }    }
 #endif    /*#endif */
 }  }
   
   
Removed from v.1.37  
changed lines
  Added in v.1.41.2.2

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