Diff for /imach/src/imach.c between versions 1.11 and 1.51

version 1.11, 2001/05/17 16:07:14 version 1.51, 2002/07/19 12:22:25
Line 1 Line 1
      /* $Id$
 /*********************** Imach **************************************             Interpolated Markov Chain
   This program computes Healthy Life Expectancies from cross-longitudinal  
   data. Cross-longitudinal consist in a first survey ("cross") where    Short summary of the programme:
   individuals from different ages are interviewed on their health status   
   or degree of  disability. At least a second wave of interviews    This program computes Healthy Life Expectancies from
   ("longitudinal") should  measure each new individual health status.    cross-longitudinal data. Cross-longitudinal data consist in: -1- a
   Health expectancies are computed from the transistions observed between    first survey ("cross") where individuals from different ages are
   waves and are computed for each degree of severity of disability (number    interviewed on their health status or degree of disability (in the
   of life states). More degrees you consider, more time is necessary to    case of a health survey which is our main interest) -2- at least a
   reach the Maximum Likelihood of the parameters involved in the model.    second wave of interviews ("longitudinal") which measure each change
   The simplest model is the multinomial logistic model where pij is    (if any) in individual health status.  Health expectancies are
   the probabibility to be observed in state j at the second wave conditional    computed from the time spent in each health state according to a
   to be observed in state i at the first wave. Therefore the model is:    model. More health states you consider, more time is necessary to reach the
   log(pij/pii)= aij + bij*age+ cij*sex + etc , where 'age' is age and 'sex'    Maximum Likelihood of the parameters involved in the model.  The
   is a covariate. If you want to have a more complex model than "constant and    simplest model is the multinomial logistic model where pij is the
   age", you should modify the program where the markup    probability to be observed in state j at the second wave
     *Covariates have to be included here again* invites you to do it.    conditional to be observed in state i at the first wave. Therefore
   More covariates you add, less is the speed of the convergence.    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
   The advantage that this computer programme claims, comes from that if the    complex model than "constant and age", you should modify the program
   delay between waves is not identical for each individual, or if some    where the markup *Covariates have to be included here again* invites
   individual missed an interview, the information is not rounded or lost, but    you to do it.  More covariates you add, slower the
   taken into account using an interpolation or extrapolation.    convergence.
   hPijx is the probability to be  
   observed in state i at age x+h conditional to the observed state i at age    The advantage of this computer programme, compared to a simple
   x. The delay 'h' can be split into an exact number (nh*stepm) of    multinomial logistic model, is clear when the delay between waves is not
   unobserved intermediate  states. This elementary transition (by month or    identical for each individual. Also, if a individual missed an
   quarter trimester, semester or year) is model as a multinomial logistic.    intermediate interview, the information is lost, but taken into
   The hPx matrix is simply the matrix product of nh*stepm elementary matrices    account using an interpolation or extrapolation.  
   and the contribution of each individual to the likelihood is simply hPijx.  
     hPijx is the probability to be observed in state i at age x+h
     conditional to the observed state i at age x. The delay 'h' can be
     split into an exact number (nh*stepm) of unobserved intermediate
     states. This elementary transition (by month or quarter trimester,
     semester or year) is model as a multinomial logistic.  The hPx
     matrix is simply the matrix product of nh*stepm elementary matrices
     and the contribution of each individual to the likelihood is simply
     hPijx.
   
   Also this programme outputs the covariance matrix of the parameters but also    Also this programme outputs the covariance matrix of the parameters but also
   of the life expectancies. It also computes the prevalence limits.    of the life expectancies. It also computes the prevalence limits.
Line 48 Line 56
 #include <unistd.h>  #include <unistd.h>
   
 #define MAXLINE 256  #define MAXLINE 256
   #define GNUPLOTPROGRAM "gnuplot"
   /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/
 #define FILENAMELENGTH 80  #define FILENAMELENGTH 80
 /*#define DEBUG*/  /*#define DEBUG*/
 #define windows  #define windows
Line 65 Line 75
 #define YEARM 12. /* Number of months per year */  #define YEARM 12. /* Number of months per year */
 #define AGESUP 130  #define AGESUP 130
 #define AGEBASE 40  #define AGEBASE 40
   #ifdef windows
   #define DIRSEPARATOR '\\'
   #define ODIRSEPARATOR '/'
   #else
   #define DIRSEPARATOR '/'
   #define ODIRSEPARATOR '\\'
   #endif
   
   char version[80]="Imach version 0.8i, June 2002, INED-EUROREVES ";
   int erreur; /* Error number */
 int nvar;  int nvar;
 int cptcovn, cptcovage=0, cptcoveff=0,cptcov;  int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov;
 int npar=NPARMAX;  int npar=NPARMAX;
 int nlstate=2; /* Number of live states */  int nlstate=2; /* Number of live states */
 int ndeath=1; /* Number of dead states */  int ndeath=1; /* Number of dead states */
 int ncovmodel, ncov;     /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */  int ncovmodel, ncovcol;     /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */
   int popbased=0;
   
 int *wav; /* Number of waves for this individuual 0 is possible */  int *wav; /* Number of waves for this individuual 0 is possible */
 int maxwav; /* Maxim number of waves */  int maxwav; /* Maxim number of waves */
Line 83  int **dh; /* dh[mi][i] is number of step Line 102  int **dh; /* dh[mi][i] is number of step
 double jmean; /* Mean space between 2 waves */  double jmean; /* Mean space between 2 waves */
 double **oldm, **newm, **savm; /* Working pointers to matrices */  double **oldm, **newm, **savm; /* Working pointers to matrices */
 double **oldms, **newms, **savms; /* Fixed working pointers to matrices */  double **oldms, **newms, **savms; /* Fixed working pointers to matrices */
 FILE *fic,*ficpar, *ficparo,*ficres,  *ficrespl, *ficrespij, *ficrest;  FILE *fic,*ficpar, *ficparo,*ficres,  *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop;
 FILE *ficgp, *fichtm;  FILE *ficlog;
   FILE *ficgp,*ficresprob,*ficpop, *ficresprobcov, *ficresprobcor;
   FILE *ficresprobmorprev;
   FILE *fichtm; /* Html File */
 FILE *ficreseij;  FILE *ficreseij;
   char filerese[FILENAMELENGTH];  char filerese[FILENAMELENGTH];
  FILE  *ficresvij;  FILE  *ficresvij;
   char fileresv[FILENAMELENGTH];  char fileresv[FILENAMELENGTH];
  FILE  *ficresvpl;  FILE  *ficresvpl;
   char fileresvpl[FILENAMELENGTH];  char fileresvpl[FILENAMELENGTH];
   char title[MAXLINE];
   char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH],  filerespl[FILENAMELENGTH];
   char optionfilext[10], optionfilefiname[FILENAMELENGTH], plotcmd[FILENAMELENGTH];
   
   char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];
   char filelog[FILENAMELENGTH]; /* Log file */
   char filerest[FILENAMELENGTH];
   char fileregp[FILENAMELENGTH];
   char popfile[FILENAMELENGTH];
   
   char optionfilegnuplot[FILENAMELENGTH], optionfilehtm[FILENAMELENGTH];
   
 #define NR_END 1  #define NR_END 1
 #define FREE_ARG char*  #define FREE_ARG char*
Line 112  FILE *ficreseij; Line 145  FILE *ficreseij;
 static double maxarg1,maxarg2;  static double maxarg1,maxarg2;
 #define FMAX(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)>(maxarg2)? (maxarg1):(maxarg2))  #define FMAX(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)>(maxarg2)? (maxarg1):(maxarg2))
 #define FMIN(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)<(maxarg2)? (maxarg1):(maxarg2))  #define FMIN(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)<(maxarg2)? (maxarg1):(maxarg2))
     
 #define SIGN(a,b) ((b)>0.0 ? fabs(a) : -fabs(a))  #define SIGN(a,b) ((b)>0.0 ? fabs(a) : -fabs(a))
 #define rint(a) floor(a+0.5)  #define rint(a) floor(a+0.5)
   
Line 124  int imx; Line 157  int imx;
 int stepm;  int stepm;
 /* Stepm, step in month: minimum step interpolation*/  /* Stepm, step in month: minimum step interpolation*/
   
   int estepm;
   /* Estepm, step in month to interpolate survival function in order to approximate Life Expectancy*/
   
 int m,nb;  int m,nb;
 int *num, firstpass=0, lastpass=4,*cod, *ncodemax, *Tage;  int *num, firstpass=0, lastpass=4,*cod, *ncodemax, *Tage;
 double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint;  double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint;
 double **pmmij;  double **pmmij, ***probs, ***mobaverage;
   double dateintmean=0;
   
 double *weight;  double *weight;
 int **s; /* Status */  int **s; /* Status */
Line 138  double ftol=FTOL; /* Tolerance for compu Line 175  double ftol=FTOL; /* Tolerance for compu
 double ftolhess; /* Tolerance for computing hessian */  double ftolhess; /* Tolerance for computing hessian */
   
 /**************** split *************************/  /**************** split *************************/
 static  int split( char *path, char *dirc, char *name )  static  int split( char *path, char *dirc, char *name, char *ext, char *finame )
 {  {
    char *s;                             /* pointer */     char *s;                             /* pointer */
    int  l1, l2;                         /* length counters */     int  l1, l2;                         /* length counters */
   
    l1 = strlen( path );                 /* length of path */     l1 = strlen( path );                 /* length of path */
    if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH );     if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH );
    s = strrchr( path, '\\' );           /* find last / */     s= strrchr( path, DIRSEPARATOR );            /* find last / */
    if ( s == NULL ) {                   /* no directory, so use current */     if ( s == NULL ) {                   /* no directory, so use current */
        /*if(strrchr(path, ODIRSEPARATOR )==NULL)
          printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/
 #if     defined(__bsd__)                /* get current working directory */  #if     defined(__bsd__)                /* get current working directory */
       extern char       *getwd( );        extern char       *getwd( );
   
Line 168  static int split( char *path, char *dirc Line 207  static int split( char *path, char *dirc
       dirc[l1-l2] = 0;                  /* add zero */        dirc[l1-l2] = 0;                  /* add zero */
    }     }
    l1 = strlen( dirc );                 /* length of directory */     l1 = strlen( dirc );                 /* length of directory */
   #ifdef windows
    if ( dirc[l1-1] != '\\' ) { dirc[l1] = '\\'; dirc[l1+1] = 0; }     if ( dirc[l1-1] != '\\' ) { dirc[l1] = '\\'; dirc[l1+1] = 0; }
   #else
      if ( dirc[l1-1] != '/' ) { dirc[l1] = '/'; dirc[l1+1] = 0; }
   #endif
      s = strrchr( name, '.' );            /* find last / */
      s++;
      strcpy(ext,s);                       /* save extension */
      l1= strlen( name);
      l2= strlen( s)+1;
      strncpy( finame, name, l1-l2);
      finame[l1-l2]= 0;
    return( 0 );                         /* we're done */     return( 0 );                         /* we're done */
 }  }
   
Line 201  int nbocc(char *s, char occ) Line 251  int nbocc(char *s, char occ)
   
 void cutv(char *u,char *v, char*t, char occ)  void cutv(char *u,char *v, char*t, char occ)
 {  {
     /* cuts string t into u and v where u is ended by char occ excluding it
        and v is after occ excluding it too : ex cutv(u,v,"abcdef2ghi2j",2)
        gives u="abcedf" and v="ghi2j" */
   int i,lg,j,p=0;    int i,lg,j,p=0;
   i=0;    i=0;
   for(j=0; j<=strlen(t)-1; j++) {    for(j=0; j<=strlen(t)-1; j++) {
Line 397  double brent(double ax, double bx, doubl Line 450  double brent(double ax, double bx, doubl
     tol2=2.0*(tol1=tol*fabs(x)+ZEPS);      tol2=2.0*(tol1=tol*fabs(x)+ZEPS);
     /*          if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret)))*/      /*          if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret)))*/
     printf(".");fflush(stdout);      printf(".");fflush(stdout);
       fprintf(ficlog,".");fflush(ficlog);
 #ifdef DEBUG  #ifdef DEBUG
     printf("br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);      printf("br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);
       fprintf(ficlog,"br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);
     /*          if ((fabs(x-xm) <= (tol2-0.5*(b-a)))||(2.0*fabs(fu-ftemp) <= ftol*1.e-2*(fabs(fu)+fabs(ftemp)))) { */      /*          if ((fabs(x-xm) <= (tol2-0.5*(b-a)))||(2.0*fabs(fu-ftemp) <= ftol*1.e-2*(fabs(fu)+fabs(ftemp)))) { */
 #endif  #endif
     if (fabs(x-xm) <= (tol2-0.5*(b-a))){      if (fabs(x-xm) <= (tol2-0.5*(b-a))){
Line 523  void linmin(double p[], double xi[], int Line 578  void linmin(double p[], double xi[], int
   *fret=brent(ax,xx,bx,f1dim,TOL,&xmin);    *fret=brent(ax,xx,bx,f1dim,TOL,&xmin);
 #ifdef DEBUG  #ifdef DEBUG
   printf("retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);    printf("retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);
     fprintf(ficlog,"retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);
 #endif  #endif
   for (j=1;j<=n;j++) {    for (j=1;j<=n;j++) {
     xi[j] *= xmin;      xi[j] *= xmin;
Line 553  void powell(double p[], double **xi, int Line 609  void powell(double p[], double **xi, int
     ibig=0;      ibig=0;
     del=0.0;      del=0.0;
     printf("\nPowell iter=%d -2*LL=%.12f",*iter,*fret);      printf("\nPowell iter=%d -2*LL=%.12f",*iter,*fret);
       fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f",*iter,*fret);
     for (i=1;i<=n;i++)      for (i=1;i<=n;i++)
       printf(" %d %.12f",i, p[i]);        printf(" %d %.12f",i, p[i]);
       fprintf(ficlog," %d %.12f",i, p[i]);
     printf("\n");      printf("\n");
       fprintf(ficlog,"\n");
     for (i=1;i<=n;i++) {      for (i=1;i<=n;i++) {
       for (j=1;j<=n;j++) xit[j]=xi[j][i];        for (j=1;j<=n;j++) xit[j]=xi[j][i];
       fptt=(*fret);        fptt=(*fret);
 #ifdef DEBUG  #ifdef DEBUG
       printf("fret=%lf \n",*fret);        printf("fret=%lf \n",*fret);
         fprintf(ficlog,"fret=%lf \n",*fret);
 #endif  #endif
       printf("%d",i);fflush(stdout);        printf("%d",i);fflush(stdout);
         fprintf(ficlog,"%d",i);fflush(ficlog);
       linmin(p,xit,n,fret,func);        linmin(p,xit,n,fret,func);
       if (fabs(fptt-(*fret)) > del) {        if (fabs(fptt-(*fret)) > del) {
         del=fabs(fptt-(*fret));          del=fabs(fptt-(*fret));
Line 570  void powell(double p[], double **xi, int Line 631  void powell(double p[], double **xi, int
       }        }
 #ifdef DEBUG  #ifdef DEBUG
       printf("%d %.12e",i,(*fret));        printf("%d %.12e",i,(*fret));
         fprintf(ficlog,"%d %.12e",i,(*fret));
       for (j=1;j<=n;j++) {        for (j=1;j<=n;j++) {
         xits[j]=FMAX(fabs(p[j]-pt[j]),1.e-5);          xits[j]=FMAX(fabs(p[j]-pt[j]),1.e-5);
         printf(" x(%d)=%.12e",j,xit[j]);          printf(" x(%d)=%.12e",j,xit[j]);
           fprintf(ficlog," x(%d)=%.12e",j,xit[j]);
       }        }
       for(j=1;j<=n;j++)        for(j=1;j<=n;j++) {
         printf(" p=%.12e",p[j]);          printf(" p=%.12e",p[j]);
           fprintf(ficlog," p=%.12e",p[j]);
         }
       printf("\n");        printf("\n");
         fprintf(ficlog,"\n");
 #endif  #endif
     }      }
     if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) {      if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) {
Line 585  void powell(double p[], double **xi, int Line 651  void powell(double p[], double **xi, int
       k[0]=1;        k[0]=1;
       k[1]=-1;        k[1]=-1;
       printf("Max: %.12e",(*func)(p));        printf("Max: %.12e",(*func)(p));
       for (j=1;j<=n;j++)        fprintf(ficlog,"Max: %.12e",(*func)(p));
         for (j=1;j<=n;j++) {
         printf(" %.12e",p[j]);          printf(" %.12e",p[j]);
           fprintf(ficlog," %.12e",p[j]);
         }
       printf("\n");        printf("\n");
         fprintf(ficlog,"\n");
       for(l=0;l<=1;l++) {        for(l=0;l<=1;l++) {
         for (j=1;j<=n;j++) {          for (j=1;j<=n;j++) {
           ptt[j]=p[j]+(p[j]-pt[j])*k[l];            ptt[j]=p[j]+(p[j]-pt[j])*k[l];
           printf("l=%d j=%d ptt=%.12e, xits=%.12e, p=%.12e, xit=%.12e", l,j,ptt[j],xits[j],p[j],xit[j]);            printf("l=%d j=%d ptt=%.12e, xits=%.12e, p=%.12e, xit=%.12e", l,j,ptt[j],xits[j],p[j],xit[j]);
             fprintf(ficlog,"l=%d j=%d ptt=%.12e, xits=%.12e, p=%.12e, xit=%.12e", l,j,ptt[j],xits[j],p[j],xit[j]);
         }          }
         printf("func(ptt)=%.12e, deriv=%.12e\n",(*func)(ptt),(ptt[j]-p[j])/((*func)(ptt)-(*func)(p)));          printf("func(ptt)=%.12e, deriv=%.12e\n",(*func)(ptt),(ptt[j]-p[j])/((*func)(ptt)-(*func)(p)));
           fprintf(ficlog,"func(ptt)=%.12e, deriv=%.12e\n",(*func)(ptt),(ptt[j]-p[j])/((*func)(ptt)-(*func)(p)));
       }        }
 #endif  #endif
   
Line 621  void powell(double p[], double **xi, int Line 693  void powell(double p[], double **xi, int
         }          }
 #ifdef DEBUG  #ifdef DEBUG
         printf("Direction changed  last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);          printf("Direction changed  last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
         for(j=1;j<=n;j++)          fprintf(ficlog,"Direction changed  last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
           for(j=1;j<=n;j++){
           printf(" %.12e",xit[j]);            printf(" %.12e",xit[j]);
             fprintf(ficlog," %.12e",xit[j]);
           }
         printf("\n");          printf("\n");
           fprintf(ficlog,"\n");
 #endif  #endif
       }        }
     }      }
Line 659  double **prevalim(double **prlim, int nl Line 735  double **prevalim(double **prlim, int nl
     
       for (k=1; k<=cptcovn;k++) {        for (k=1; k<=cptcovn;k++) {
         cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];          cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];
         /*printf("ij=%d Tvar[k]=%d nbcode=%d cov=%lf\n",ij, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k]);*/          /*      printf("ij=%d k=%d Tvar[k]=%d nbcode=%d cov=%lf codtab[ij][Tvar[k]]=%d \n",ij,k, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k], codtab[ij][Tvar[k]]);*/
       }        }
       for (k=1; k<=cptcovage;k++)        for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
         cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];  
       for (k=1; k<=cptcovprod;k++)        for (k=1; k<=cptcovprod;k++)
         cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];          cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];
   
       /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/        /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/
       /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/        /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/
         /*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/
     out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);      out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);
   
     savm=oldm;      savm=oldm;
Line 693  double **prevalim(double **prlim, int nl Line 768  double **prevalim(double **prlim, int nl
   }    }
 }  }
   
 /*************** transition probabilities **********/  /*************** transition probabilities ***************/
   
 double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate )  double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate )
 {  {
Line 719  double **pmij(double **ps, double *cov, Line 794  double **pmij(double **ps, double *cov,
       ps[i][j]=s2;        ps[i][j]=s2;
     }      }
   }    }
       /*ps[3][2]=1;*/
   
   for(i=1; i<= nlstate; i++){    for(i=1; i<= nlstate; i++){
      s1=0;       s1=0;
     for(j=1; j<i; j++)      for(j=1; j<i; j++)
Line 740  double **pmij(double **ps, double *cov, Line 817  double **pmij(double **ps, double *cov,
     }      }
   }    }
   
   
   /*   for(ii=1; ii<= nlstate+ndeath; ii++){    /*   for(ii=1; ii<= nlstate+ndeath; ii++){
     for(jj=1; jj<= nlstate+ndeath; jj++){      for(jj=1; jj<= nlstate+ndeath; jj++){
      printf("%lf ",ps[ii][jj]);       printf("%lf ",ps[ii][jj]);
Line 757  double **pmij(double **ps, double *cov, Line 835  double **pmij(double **ps, double *cov,
   
 double **matprod2(double **out, double **in,long nrl, long nrh, long ncl, long nch, long ncolol, long ncoloh, double **b)  double **matprod2(double **out, double **in,long nrl, long nrh, long ncl, long nch, long ncolol, long ncoloh, double **b)
 {  {
   /* Computes the matric product of in(1,nrh-nrl+1)(1,nch-ncl+1) times    /* Computes the matrix product of in(1,nrh-nrl+1)(1,nch-ncl+1) times
      b(1,nch-ncl+1)(1,ncoloh-ncolol+1) into out(...) */       b(1,nch-ncl+1)(1,ncoloh-ncolol+1) into out(...) */
   /* in, b, out are matrice of pointers which should have been initialized    /* in, b, out are matrice of pointers which should have been initialized
      before: only the contents of out is modified. The function returns       before: only the contents of out is modified. The function returns
Line 804  double ***hpxij(double ***po, int nhstep Line 882  double ***hpxij(double ***po, int nhstep
       cov[1]=1.;        cov[1]=1.;
       cov[2]=age+((h-1)*hstepm + (d-1))*stepm/YEARM;        cov[2]=age+((h-1)*hstepm + (d-1))*stepm/YEARM;
       for (k=1; k<=cptcovn;k++) cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];        for (k=1; k<=cptcovn;k++) cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];
 for (k=1; k<=cptcovage;k++)        for (k=1; k<=cptcovage;k++)
         cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];          cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
    for (k=1; k<=cptcovprod;k++)        for (k=1; k<=cptcovprod;k++)
         cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];          cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];
   
   
Line 892  void mlikeli(FILE *ficres,double p[], in Line 970  void mlikeli(FILE *ficres,double p[], in
   for (i=1;i<=npar;i++)    for (i=1;i<=npar;i++)
     for (j=1;j<=npar;j++)      for (j=1;j<=npar;j++)
       xi[i][j]=(i==j ? 1.0 : 0.0);        xi[i][j]=(i==j ? 1.0 : 0.0);
   printf("Powell\n");    printf("Powell\n");  fprintf(ficlog,"Powell\n");
   powell(p,xi,npar,ftol,&iter,&fret,func);    powell(p,xi,npar,ftol,&iter,&fret,func);
   
    printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));     printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));
   fprintf(ficres,"#Number of iterations = %d, -2 Log likelihood = %.12f ",iter,func(p));    fprintf(ficlog,"#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));
     fprintf(ficres,"#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));
   
 }  }
   
Line 913  void hesscov(double **matcov, double p[] Line 992  void hesscov(double **matcov, double p[]
   void lubksb(double **a, int npar, int *indx, double b[]) ;    void lubksb(double **a, int npar, int *indx, double b[]) ;
   void ludcmp(double **a, int npar, int *indx, double *d) ;    void ludcmp(double **a, int npar, int *indx, double *d) ;
   
   
   hess=matrix(1,npar,1,npar);    hess=matrix(1,npar,1,npar);
   
   printf("\nCalculation of the hessian matrix. Wait...\n");    printf("\nCalculation of the hessian matrix. Wait...\n");
     fprintf(ficlog,"\nCalculation of the hessian matrix. Wait...\n");
   for (i=1;i<=npar;i++){    for (i=1;i<=npar;i++){
     printf("%d",i);fflush(stdout);      printf("%d",i);fflush(stdout);
       fprintf(ficlog,"%d",i);fflush(ficlog);
     hess[i][i]=hessii(p,ftolhess,i,delti);      hess[i][i]=hessii(p,ftolhess,i,delti);
     /*printf(" %f ",p[i]);*/      /*printf(" %f ",p[i]);*/
       /*printf(" %lf ",hess[i][i]);*/
   }    }
    
   for (i=1;i<=npar;i++) {    for (i=1;i<=npar;i++) {
     for (j=1;j<=npar;j++)  {      for (j=1;j<=npar;j++)  {
       if (j>i) {        if (j>i) {
         printf(".%d%d",i,j);fflush(stdout);          printf(".%d%d",i,j);fflush(stdout);
           fprintf(ficlog,".%d%d",i,j);fflush(ficlog);
         hess[i][j]=hessij(p,delti,i,j);          hess[i][j]=hessij(p,delti,i,j);
         hess[j][i]=hess[i][j];          hess[j][i]=hess[i][j];    
           /*printf(" %lf ",hess[i][j]);*/
       }        }
     }      }
   }    }
   printf("\n");    printf("\n");
     fprintf(ficlog,"\n");
   
   printf("\nInverting the hessian to get the covariance matrix. Wait...\n");    printf("\nInverting the hessian to get the covariance matrix. Wait...\n");
     fprintf(ficlog,"\nInverting the hessian to get the covariance matrix. Wait...\n");
     
   a=matrix(1,npar,1,npar);    a=matrix(1,npar,1,npar);
   y=matrix(1,npar,1,npar);    y=matrix(1,npar,1,npar);
Line 954  void hesscov(double **matcov, double p[] Line 1039  void hesscov(double **matcov, double p[]
   }    }
   
   printf("\n#Hessian matrix#\n");    printf("\n#Hessian matrix#\n");
     fprintf(ficlog,"\n#Hessian matrix#\n");
   for (i=1;i<=npar;i++) {    for (i=1;i<=npar;i++) {
     for (j=1;j<=npar;j++) {      for (j=1;j<=npar;j++) {
       printf("%.3e ",hess[i][j]);        printf("%.3e ",hess[i][j]);
         fprintf(ficlog,"%.3e ",hess[i][j]);
     }      }
     printf("\n");      printf("\n");
       fprintf(ficlog,"\n");
   }    }
   
   /* Recompute Inverse */    /* Recompute Inverse */
Line 975  void hesscov(double **matcov, double p[] Line 1063  void hesscov(double **matcov, double p[]
     for (i=1;i<=npar;i++){      for (i=1;i<=npar;i++){
       y[i][j]=x[i];        y[i][j]=x[i];
       printf("%.3e ",y[i][j]);        printf("%.3e ",y[i][j]);
         fprintf(ficlog,"%.3e ",y[i][j]);
     }      }
     printf("\n");      printf("\n");
       fprintf(ficlog,"\n");
   }    }
   */    */
   
Line 1018  double hessii( double x[], double delta, Line 1108  double hessii( double x[], double delta,
             
 #ifdef DEBUG  #ifdef DEBUG
       printf("%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);        printf("%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);
         fprintf(ficlog,"%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);
 #endif  #endif
       /*if(fabs(k1-2.0*fx+k2) <1.e-13){ */        /*if(fabs(k1-2.0*fx+k2) <1.e-13){ */
       if((k1 <khi/nkhi/2.) || (k2 <khi/nkhi/2.)){        if((k1 <khi/nkhi/2.) || (k2 <khi/nkhi/2.)){
Line 1032  double hessii( double x[], double delta, Line 1123  double hessii( double x[], double delta,
     }      }
   }    }
   delti[theta]=delts;    delti[theta]=delts;
   return res;    return res;
     
 }  }
   
Line 1065  double hessij( double x[], double delti[ Line 1156  double hessij( double x[], double delti[
     res=(k1-k2-k3+k4)/4.0/delti[thetai]*k/delti[thetaj]*k/2.; /* Because of L not 2*L */      res=(k1-k2-k3+k4)/4.0/delti[thetai]*k/delti[thetaj]*k/2.; /* Because of L not 2*L */
 #ifdef DEBUG  #ifdef DEBUG
     printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e  res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);      printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e  res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
       fprintf(ficlog,"%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e  res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
 #endif  #endif
   }    }
   return res;    return res;
Line 1145  void lubksb(double **a, int n, int *indx Line 1237  void lubksb(double **a, int n, int *indx
 }  }
   
 /************ Frequencies ********************/  /************ Frequencies ********************/
 void  freqsummary(char fileres[], int agemin, int agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax)  void  freqsummary(char fileres[], int agemin, int agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2,double jprev1, double mprev1,double anprev1,double jprev2, double mprev2,double anprev2)
 {  /* Some frequencies */  {  /* Some frequencies */
     
   int i, m, jk, k1, i1, j1, bool, z1,z2,j;    int i, m, jk, k1,i1, j1, bool, z1,z2,j;
     int first;
   double ***freq; /* Frequencies */    double ***freq; /* Frequencies */
   double *pp;    double *pp;
   double pos;    double pos, k2, dateintsum=0,k2cpt=0;
   FILE *ficresp;    FILE *ficresp;
   char fileresp[FILENAMELENGTH];    char fileresp[FILENAMELENGTH];
    
   pp=vector(1,nlstate);    pp=vector(1,nlstate);
     probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
   strcpy(fileresp,"p");    strcpy(fileresp,"p");
   strcat(fileresp,fileres);    strcat(fileresp,fileres);
   if((ficresp=fopen(fileresp,"w"))==NULL) {    if((ficresp=fopen(fileresp,"w"))==NULL) {
     printf("Problem with prevalence resultfile: %s\n", fileresp);      printf("Problem with prevalence resultfile: %s\n", fileresp);
       fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);
     exit(0);      exit(0);
   }    }
   freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3);    freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3);
   j1=0;    j1=0;
    
   j=cptcoveff;    j=cptcoveff;
   if (cptcovn<1) {j=1;ncodemax[1]=1;}    if (cptcovn<1) {j=1;ncodemax[1]=1;}
   
     first=1;
   
   for(k1=1; k1<=j;k1++){    for(k1=1; k1<=j;k1++){
    for(i1=1; i1<=ncodemax[k1];i1++){      for(i1=1; i1<=ncodemax[k1];i1++){
        j1++;        j1++;
        /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);        /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);
          scanf("%d", i);*/          scanf("%d", i);*/
         for (i=-1; i<=nlstate+ndeath; i++)          for (i=-1; i<=nlstate+ndeath; i++)  
          for (jk=-1; jk<=nlstate+ndeath; jk++)            for (jk=-1; jk<=nlstate+ndeath; jk++)  
            for(m=agemin; m <= agemax+3; m++)            for(m=agemin; m <= agemax+3; m++)
              freq[i][jk][m]=0;              freq[i][jk][m]=0;
               
        for (i=1; i<=imx; i++) {        dateintsum=0;
          bool=1;        k2cpt=0;
          if  (cptcovn>0) {        for (i=1; i<=imx; i++) {
            for (z1=1; z1<=cptcoveff; z1++)          bool=1;
              if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]])          if  (cptcovn>0) {
                bool=0;            for (z1=1; z1<=cptcoveff; z1++)
          }              if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]])
           if (bool==1) {                bool=0;
            for(m=firstpass; m<=lastpass-1; m++){          }
              if(agev[m][i]==0) agev[m][i]=agemax+1;          if (bool==1) {
              if(agev[m][i]==1) agev[m][i]=agemax+2;            for(m=firstpass; m<=lastpass; m++){
              freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];              k2=anint[m][i]+(mint[m][i]/12.);
              freq[s[m][i]][s[m+1][i]][(int) agemax+3] += weight[i];              if ((k2>=dateprev1) && (k2<=dateprev2)) {
            }                if(agev[m][i]==0) agev[m][i]=agemax+1;
          }                if(agev[m][i]==1) agev[m][i]=agemax+2;
        }                if (m<lastpass) {
         if  (cptcovn>0) {                  freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];
          fprintf(ficresp, "\n#********** Variable ");                  freq[s[m][i]][s[m+1][i]][(int) agemax+3] += weight[i];
          for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);                }
        fprintf(ficresp, "**********\n#");               
         }                if ((agev[m][i]>1) && (agev[m][i]< (agemax+3))) {
        for(i=1; i<=nlstate;i++)                  dateintsum=dateintsum+k2;
          fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);                  k2cpt++;
        fprintf(ficresp, "\n");                }
               }
             }
           }
         }
                 
   for(i=(int)agemin; i <= (int)agemax+3; i++){        fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);
     if(i==(int)agemax+3)  
       printf("Total");        if  (cptcovn>0) {
     else          fprintf(ficresp, "\n#********** Variable ");
       printf("Age %d", i);          for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
     for(jk=1; jk <=nlstate ; jk++){          fprintf(ficresp, "**********\n#");
       for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++)        }
         pp[jk] += freq[jk][m][i];        for(i=1; i<=nlstate;i++)
     }          fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);
     for(jk=1; jk <=nlstate ; jk++){        fprintf(ficresp, "\n");
       for(m=-1, pos=0; m <=0 ; m++)       
         pos += freq[jk][m][i];        for(i=(int)agemin; i <= (int)agemax+3; i++){
       if(pp[jk]>=1.e-10)          if(i==(int)agemax+3){
         printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);            fprintf(ficlog,"Total");
       else          }else{
         printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk);            if(first==1){
     }              first=0;
     for(jk=1; jk <=nlstate ; jk++){              printf("See log file for details...\n");
       for(m=1, pp[jk]=0; m <=nlstate+ndeath; m++)            }
         pp[jk] += freq[jk][m][i];            fprintf(ficlog,"Age %d", i);
     }          }
     for(jk=1,pos=0; jk <=nlstate ; jk++)          for(jk=1; jk <=nlstate ; jk++){
       pos += pp[jk];            for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++)
     for(jk=1; jk <=nlstate ; jk++){              pp[jk] += freq[jk][m][i];
       if(pos>=1.e-5)          }
         printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos);          for(jk=1; jk <=nlstate ; jk++){
       else            for(m=-1, pos=0; m <=0 ; m++)
         printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);              pos += freq[jk][m][i];
       if( i <= (int) agemax){            if(pp[jk]>=1.e-10){
         if(pos>=1.e-5)              if(first==1){
           fprintf(ficresp," %d %.5f %.0f %.0f",i,pp[jk]/pos, pp[jk],pos);              printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
       else              }
           fprintf(ficresp," %d NaNq %.0f %.0f",i,pp[jk],pos);              fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
             }else{
               if(first==1)
                 printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk);
               fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk);
             }
           }
   
           for(jk=1; jk <=nlstate ; jk++){
             for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)
               pp[jk] += freq[jk][m][i];
           }
   
           for(jk=1,pos=0; jk <=nlstate ; jk++)
             pos += pp[jk];
           for(jk=1; jk <=nlstate ; jk++){
             if(pos>=1.e-5){
               if(first==1)
                 printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos);
               fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos);
             }else{
               if(first==1)
                 printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
               fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
             }
             if( i <= (int) agemax){
               if(pos>=1.e-5){
                 fprintf(ficresp," %d %.5f %.0f %.0f",i,pp[jk]/pos, pp[jk],pos);
                 probs[i][jk][j1]= pp[jk]/pos;
                 /*printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);*/
               }
               else
                 fprintf(ficresp," %d NaNq %.0f %.0f",i,pp[jk],pos);
             }
           }
          
           for(jk=-1; jk <=nlstate+ndeath; jk++)
             for(m=-1; m <=nlstate+ndeath; m++)
               if(freq[jk][m][i] !=0 ) {
               if(first==1)
                 printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);
                 fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]);
               }
           if(i <= (int) agemax)
             fprintf(ficresp,"\n");
           if(first==1)
             printf("Others in log...\n");
           fprintf(ficlog,"\n");
       }        }
     }      }
     for(jk=-1; jk <=nlstate+ndeath; jk++)    }
       for(m=-1; m <=nlstate+ndeath; m++)    dateintmean=dateintsum/k2cpt;
         if(freq[jk][m][i] !=0 ) printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);  
     if(i <= (int) agemax)  
       fprintf(ficresp,"\n");  
     printf("\n");  
     }  
     }  
  }  
     
   fclose(ficresp);    fclose(ficresp);
   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);
    
     /* End of Freq */
   }
   
   /************ Prevalence ********************/
   void prevalence(int agemin, float agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, double calagedate)
   {  /* Some frequencies */
    
     int i, m, jk, k1, i1, j1, bool, z1,z2,j;
     double ***freq; /* Frequencies */
     double *pp;
     double pos, k2;
   
     pp=vector(1,nlstate);
     probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
    
     freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3);
     j1=0;
    
     j=cptcoveff;
     if (cptcovn<1) {j=1;ncodemax[1]=1;}
    
     for(k1=1; k1<=j;k1++){
       for(i1=1; i1<=ncodemax[k1];i1++){
         j1++;
        
         for (i=-1; i<=nlstate+ndeath; i++)  
           for (jk=-1; jk<=nlstate+ndeath; jk++)  
             for(m=agemin; m <= agemax+3; m++)
               freq[i][jk][m]=0;
        
         for (i=1; i<=imx; i++) {
           bool=1;
           if  (cptcovn>0) {
             for (z1=1; z1<=cptcoveff; z1++)
               if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]])
                 bool=0;
           }
           if (bool==1) {
             for(m=firstpass; m<=lastpass; m++){
               k2=anint[m][i]+(mint[m][i]/12.);
               if ((k2>=dateprev1) && (k2<=dateprev2)) {
                 if(agev[m][i]==0) agev[m][i]=agemax+1;
                 if(agev[m][i]==1) agev[m][i]=agemax+2;
                 if (m<lastpass) {
                   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];
                 }
               }
             }
           }
         }
         for(i=(int)agemin; i <= (int)agemax+3; i++){
           for(jk=1; jk <=nlstate ; jk++){
             for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++)
               pp[jk] += freq[jk][m][i];
           }
           for(jk=1; jk <=nlstate ; jk++){
             for(m=-1, pos=0; m <=0 ; m++)
               pos += freq[jk][m][i];
           }
          
           for(jk=1; jk <=nlstate ; jk++){
             for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)
               pp[jk] += freq[jk][m][i];
           }
          
           for(jk=1,pos=0; jk <=nlstate ; jk++) pos += pp[jk];
          
           for(jk=1; jk <=nlstate ; jk++){    
             if( i <= (int) agemax){
               if(pos>=1.e-5){
                 probs[i][jk][j1]= pp[jk]/pos;
               }
             }
           }/* end jk */
         }/* end i */
       } /* end i1 */
     } /* end k1 */
   
    
     free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3);
     free_vector(pp,1,nlstate);
    
 }  /* End of Freq */  }  /* End of Freq */
   
 /************* Waves Concatenation ***************/  /************* Waves Concatenation ***************/
Line 1269  void  concatwav(int wav[], int **dh, int Line 1495  void  concatwav(int wav[], int **dh, int
   int i, mi, m;    int i, mi, m;
   /* int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1;    /* int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1;
      double sum=0., jmean=0.;*/       double sum=0., jmean=0.;*/
     int first;
   int j, k=0,jk, ju, jl;    int j, k=0,jk, ju, jl;
   double sum=0.;    double sum=0.;
     first=0;
   jmin=1e+5;    jmin=1e+5;
   jmax=-1;    jmax=-1;
   jmean=0.;    jmean=0.;
Line 1294  void  concatwav(int wav[], int **dh, int Line 1521  void  concatwav(int wav[], int **dh, int
     }      }
   
     wav[i]=mi;      wav[i]=mi;
     if(mi==0)      if(mi==0){
       printf("Warning, no any valid information for:%d line=%d\n",num[i],i);        if(first==0){
           printf("Warning, no any valid information for:%d line=%d and may be others, see log file\n",num[i],i);
           first=1;
         }
         if(first==1){
           fprintf(ficlog,"Warning, no any valid information for:%d line=%d\n",num[i],i);
         }
       } /* end mi==0 */
   }    }
   
   for(i=1; i<=imx; i++){    for(i=1; i<=imx; i++){
Line 1311  void  concatwav(int wav[], int **dh, int Line 1545  void  concatwav(int wav[], int **dh, int
           if (j >= jmax) jmax=j;            if (j >= jmax) jmax=j;
           if (j <= jmin) jmin=j;            if (j <= jmin) jmin=j;
           sum=sum+j;            sum=sum+j;
           if (j<0) printf("j=%d num=%d ",j,i);            /*if (j<0) printf("j=%d num=%d \n",j,i); */
           }            }
         }          }
         else{          else{
Line 1319  void  concatwav(int wav[], int **dh, int Line 1553  void  concatwav(int wav[], int **dh, int
           k=k+1;            k=k+1;
           if (j >= jmax) jmax=j;            if (j >= jmax) jmax=j;
           else if (j <= jmin)jmin=j;            else if (j <= jmin)jmin=j;
             /*        if (j<10) printf("j=%d jmin=%d num=%d ",j,jmin,i); */
           sum=sum+j;            sum=sum+j;
         }          }
         jk= j/stepm;          jk= j/stepm;
Line 1335  void  concatwav(int wav[], int **dh, int Line 1570  void  concatwav(int wav[], int **dh, int
   }    }
   jmean=sum/k;    jmean=sum/k;
   printf("Delay (in months) between two waves Min=%d Max=%d Mean=%f\n\n ",jmin, jmax,jmean);    printf("Delay (in months) between two waves Min=%d Max=%d Mean=%f\n\n ",jmin, jmax,jmean);
 }    fprintf(ficlog,"Delay (in months) between two waves Min=%d Max=%d Mean=%f\n\n ",jmin, jmax,jmean);
    }
   
 /*********** Tricode ****************************/  /*********** Tricode ****************************/
 void tricode(int *Tvar, int **nbcode, int imx)  void tricode(int *Tvar, int **nbcode, int imx)
 {  {
Line 1364  void tricode(int *Tvar, int **nbcode, in Line 1601  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;
            
           ij++;            ij++;
         }          }
         if (ij > ncodemax[j]) break;          if (ij > ncodemax[j]) break;
Line 1373  void tricode(int *Tvar, int **nbcode, in Line 1611  void tricode(int *Tvar, int **nbcode, in
   
  for (k=0; k<19; k++) Ndum[k]=0;   for (k=0; k<19; k++) Ndum[k]=0;
   
  for (i=1; i<=ncovmodel; i++) {   for (i=1; i<=ncovmodel-2; i++) {
       ij=Tvar[i];     ij=Tvar[i];
       Ndum[ij]++;     Ndum[ij]++;
     }   }
   
  ij=1;   ij=1;
  for (i=1; i<=10; i++) {   for (i=1; i<=10; i++) {
    if((Ndum[i]!=0) && (i<=ncov)){     if((Ndum[i]!=0) && (i<=ncovcol)){
      Tvaraff[ij]=i;       Tvaraff[ij]=i;
      ij++;       ij++;
    }     }
  }   }
     
     cptcoveff=ij-1;   cptcoveff=ij-1;
 }  }
   
 /*********** 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)  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;    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");
   
   hstepm=1*YEARM; /*  Every j years of age (in month) */    if(estepm < stepm){
   hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */      printf ("Problem %d lower than %d\n",estepm, stepm);
     }
     else  hstepm=estepm;  
     /* We compute the life expectancy from trapezoids spaced every estepm months
      * This is mainly to measure the difference between two models: for example
      * if stepm=24 months pijx are given only every 2 years and by summing them
      * we are calculating an estimate of the Life Expectancy assuming a linear
      * progression inbetween and thus overestimating or underestimating according
      * to the curvature of the survival function. If, for the same date, we
      * estimate the model with stepm=1 month, we can keep estepm to 24 months
      * to compare the new estimate of Life expectancy with the same linear
      * hypothesis. A more precise result, taking into account a more precise
      * curvature will be obtained if estepm is as small as stepm. */
   
     /* For example we decided to compute the life expectancy with the smallest unit */
     /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm.
        nhstepm is the number of hstepm from age to agelim
        nstepm is the number of stepm from age to agelin.
        Look at hpijx to understand the reason of that which relies in memory size
        and note for a fixed period like estepm months */
     /* We decided (b) to get a life expectancy respecting the most precise curvature of the
        survival function given by stepm (the optimization length). Unfortunately it
        means that if the survival funtion is printed only each two years of age and if
        you sum them up and add 1 year (area under the trapezoids) you won't get the same
        results. So we changed our mind and took the option of the best precision.
     */
     hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */
   
   agelim=AGESUP;    agelim=AGESUP;
   for (age=bage; age<=fage; age ++){ /* If stepm=6 months */    for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
     /* nhstepm age range expressed in number of stepm */      /* nhstepm age range expressed in number of stepm */
     nhstepm=(int) rint((agelim-age)*YEARM/stepm);      nstepm=(int) rint((agelim-age)*YEARM/stepm);
     /* Typically if 20 years = 20*12/6=40 stepm */      /* Typically if 20 years nstepm = 20*12/6=40 stepm */
     if (stepm >= YEARM) hstepm=1;      /* if (stepm >= YEARM) hstepm=1;*/
     nhstepm = nhstepm/hstepm;/* Expressed in hstepm, typically 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. */
   
       /* 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.;
   
        printf("%d|",(int)age);fflush(stdout);
        fprintf(ficlog,"%d|",(int)age);fflush(ficlog);
        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; h++){          for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){
           eij[i][j][(int)age] +=p3mat[i][j][h];            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]);*/
   
         }          }
      
     hf=1;      fprintf(ficreseij,"%3.0f",age );
     if (stepm >= YEARM) hf=stepm/YEARM;      cptj=0;
     fprintf(ficreseij,"%.0f",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," %.4f", hf*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);
   }    }
     printf("\n");
     fprintf(ficlog,"\n");
   
     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 ******************/
 void varevsij(char fileres[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij)  void varevsij(char optionfilefiname[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij, int estepm, int cptcov, int cptcod, int popbased)
 {  {
   /* Variance of health expectancies */    /* Variance of health expectancies */
   /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/    /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/
   double **newm;    /* double **newm;*/
   double **dnewm,**doldm;    double **dnewm,**doldm;
   int i, j, nhstepm, hstepm, h;    double **dnewmp,**doldmp;
     int i, j, nhstepm, hstepm, h, nstepm ;
   int k, cptcode;    int k, cptcode;
    double *xp;    double *xp;
   double **gp, **gm;    double **gp, **gm;  /* for var eij */
   double ***gradg, ***trgradg;    double ***gradg, ***trgradg; /*for var eij */
     double **gradgp, **trgradgp; /* for var p point j */
     double *gpp, *gmp; /* for var p point j */
     double **varppt; /* for var p point j nlstate to nlstate+ndeath */
   double ***p3mat;    double ***p3mat;
   double age,agelim;    double age,agelim, hf;
   int theta;    int theta;
     char digit[4];
     char digitp[16];
   
     char fileresprobmorprev[FILENAMELENGTH];
   
    fprintf(ficresvij,"# Covariances of life expectancies\n");    if(popbased==1)
       strcpy(digitp,"-populbased-");
     else
       strcpy(digitp,"-stablbased-");
   
     strcpy(fileresprobmorprev,"prmorprev");
     sprintf(digit,"%-d",ij);
     /*printf("DIGIT=%s, ij=%d ijr=%-d|\n",digit, ij,ij);*/
     strcat(fileresprobmorprev,digit); /* Tvar to be done */
     strcat(fileresprobmorprev,digitp); /* Popbased or not */
     strcat(fileresprobmorprev,fileres);
     if((ficresprobmorprev=fopen(fileresprobmorprev,"w"))==NULL) {
       printf("Problem with resultfile: %s\n", fileresprobmorprev);
       fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobmorprev);
     }
     printf("Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);
     fprintf(ficlog,"Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);
     fprintf(ficresprobmorprev,"# probabilities of dying during a year and weighted mean w1*p1j+w2*p2j+... stand dev in()\n");
     fprintf(ficresprobmorprev,"# Age cov=%-d",ij);
     for(j=nlstate+1; j<=(nlstate+ndeath);j++){
       fprintf(ficresprobmorprev," p.%-d SE",j);
       for(i=1; i<=nlstate;i++)
         fprintf(ficresprobmorprev," w%1d p%-d%-d",i,i,j);
     }  
     fprintf(ficresprobmorprev,"\n");
     if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) {
       printf("Problem with gnuplot file: %s\n", optionfilegnuplot);
       fprintf(ficlog,"Problem with gnuplot file: %s\n", optionfilegnuplot);
       exit(0);
     }
     else{
       fprintf(ficgp,"\n# Routine varevsij");
     }
     if((fichtm=fopen(optionfilehtm,"a"))==NULL) {
       printf("Problem with html file: %s\n", optionfilehtm);
       fprintf(ficlog,"Problem with html file: %s\n", optionfilehtm);
       exit(0);
     }
     else{
       fprintf(fichtm,"\n<li><h4> Computing step probabilities of dying and weighted average (i.e global mortality independent of initial healh state)</h4></li>\n");
     }
     varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
   
     fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n#  (weighted average of eij where weights are the stable prevalence in health states i\n");
   fprintf(ficresvij,"# Age");    fprintf(ficresvij,"# 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++)
Line 1465  void varevsij(char fileres[], double *** Line 1876  void varevsij(char fileres[], double ***
   xp=vector(1,npar);    xp=vector(1,npar);
   dnewm=matrix(1,nlstate,1,npar);    dnewm=matrix(1,nlstate,1,npar);
   doldm=matrix(1,nlstate,1,nlstate);    doldm=matrix(1,nlstate,1,nlstate);
      dnewmp= matrix(nlstate+1,nlstate+ndeath,1,npar);
   hstepm=1*YEARM; /* Every year of age */    doldmp= matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
   hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */  
     gradgp=matrix(1,npar,nlstate+1,nlstate+ndeath);
     gpp=vector(nlstate+1,nlstate+ndeath);
     gmp=vector(nlstate+1,nlstate+ndeath);
     trgradgp =matrix(nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/
    
     if(estepm < stepm){
       printf ("Problem %d lower than %d\n",estepm, stepm);
     }
     else  hstepm=estepm;  
     /* For example we decided to compute the life expectancy with the smallest unit */
     /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm.
        nhstepm is the number of hstepm from age to agelim
        nstepm is the number of stepm from age to agelin.
        Look at hpijx to understand the reason of that which relies in memory size
        and note for a fixed period like k years */
     /* We decided (b) to get a life expectancy respecting the most precise curvature of the
        survival function given by stepm (the optimization length). Unfortunately it
        means that if the survival funtion is printed only each two years of age and if
        you sum them up and add 1 year (area under the trapezoids) you won't get the same
        results. So we changed our mind and took the option of the best precision.
     */
     hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */
   agelim = AGESUP;    agelim = AGESUP;
   for (age=bage; age<=fage; age ++){ /* If stepm=6 months */    for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
     nhstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */      nstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */
     if (stepm >= YEARM) hstepm=1;      nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
     nhstepm = nhstepm/hstepm; /* Typically 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);      gradg=ma3x(0,nhstepm,1,npar,1,nlstate);
     gp=matrix(0,nhstepm,1,nlstate);      gp=matrix(0,nhstepm,1,nlstate);
     gm=matrix(0,nhstepm,1,nlstate);      gm=matrix(0,nhstepm,1,nlstate);
   
   
     for(theta=1; theta <=npar; theta++){      for(theta=1; theta <=npar; theta++){
       for(i=1; i<=npar; i++){ /* Computes gradient */        for(i=1; i<=npar; i++){ /* Computes gradient */
         xp[i] = x[i] + (i==theta ?delti[theta]:0);          xp[i] = x[i] + (i==theta ?delti[theta]:0);
       }        }
       hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);          hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);  
       prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);        prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
   
         if (popbased==1) {
           for(i=1; i<=nlstate;i++)
             prlim[i][i]=probs[(int)age][i][ij];
         }
    
       for(j=1; j<= nlstate; j++){        for(j=1; j<= nlstate; j++){
         for(h=0; h<=nhstepm; h++){          for(h=0; h<=nhstepm; h++){
           for(i=1, gp[h][j]=0.;i<=nlstate;i++)            for(i=1, gp[h][j]=0.;i<=nlstate;i++)
             gp[h][j] += prlim[i][i]*p3mat[i][j][h];              gp[h][j] += prlim[i][i]*p3mat[i][j][h];
         }          }
       }        }
            /* This for computing forces of mortality (h=1)as a weighted average */
         for(j=nlstate+1,gpp[j]=0.;j<=nlstate+ndeath;j++){
           for(i=1; i<= nlstate; i++)
             gpp[j] += prlim[i][i]*p3mat[i][j][1];
         }    
         /* end force of mortality */
   
       for(i=1; i<=npar; i++) /* Computes gradient */        for(i=1; i<=npar; i++) /* Computes gradient */
         xp[i] = x[i] - (i==theta ?delti[theta]:0);          xp[i] = x[i] - (i==theta ?delti[theta]:0);
       hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);          hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);  
       prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);        prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
    
         if (popbased==1) {
           for(i=1; i<=nlstate;i++)
             prlim[i][i]=probs[(int)age][i][ij];
         }
   
       for(j=1; j<= nlstate; j++){        for(j=1; j<= nlstate; j++){
         for(h=0; h<=nhstepm; h++){          for(h=0; h<=nhstepm; h++){
           for(i=1, gm[h][j]=0.;i<=nlstate;i++)            for(i=1, gm[h][j]=0.;i<=nlstate;i++)
             gm[h][j] += prlim[i][i]*p3mat[i][j][h];              gm[h][j] += prlim[i][i]*p3mat[i][j][h];
         }          }
       }        }
       for(j=1; j<= nlstate; j++)        /* This for computing force of mortality (h=1)as a weighted average */
         for(j=nlstate+1,gmp[j]=0.;j<=nlstate+ndeath;j++){
           for(i=1; i<= nlstate; i++)
             gmp[j] += prlim[i][i]*p3mat[i][j][1];
         }    
         /* end force of mortality */
   
         for(j=1; j<= nlstate; j++) /* vareij */
         for(h=0; h<=nhstepm; h++){          for(h=0; h<=nhstepm; h++){
           gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];            gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
         }          }
         for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu */
           gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta];
         }
   
     } /* End theta */      } /* End theta */
   
     trgradg =ma3x(0,nhstepm,1,nlstate,1,npar);      trgradg =ma3x(0,nhstepm,1,nlstate,1,npar); /* veij */
   
     for(h=0; h<=nhstepm; h++)      for(h=0; h<=nhstepm; h++) /* veij */
       for(j=1; j<=nlstate;j++)        for(j=1; j<=nlstate;j++)
         for(theta=1; theta <=npar; theta++)          for(theta=1; theta <=npar; theta++)
           trgradg[h][j][theta]=gradg[h][theta][j];            trgradg[h][j][theta]=gradg[h][theta][j];
   
       for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */
         for(theta=1; theta <=npar; theta++)
           trgradgp[j][theta]=gradgp[theta][j];
   
       hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
     for(i=1;i<=nlstate;i++)      for(i=1;i<=nlstate;i++)
       for(j=1;j<=nlstate;j++)        for(j=1;j<=nlstate;j++)
         vareij[i][j][(int)age] =0.;          vareij[i][j][(int)age] =0.;
   
     for(h=0;h<=nhstepm;h++){      for(h=0;h<=nhstepm;h++){
       for(k=0;k<=nhstepm;k++){        for(k=0;k<=nhstepm;k++){
         matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov);          matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov);
         matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg[k]);          matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg[k]);
         for(i=1;i<=nlstate;i++)          for(i=1;i<=nlstate;i++)
           for(j=1;j<=nlstate;j++)            for(j=1;j<=nlstate;j++)
             vareij[i][j][(int)age] += doldm[i][j];              vareij[i][j][(int)age] += doldm[i][j]*hf*hf;
       }        }
     }      }
     h=1;  
     if (stepm >= YEARM) h=stepm/YEARM;      /* pptj */
       matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov);
       matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp);
       for(j=nlstate+1;j<=nlstate+ndeath;j++)
         for(i=nlstate+1;i<=nlstate+ndeath;i++)
           varppt[j][i]=doldmp[j][i];
       /* end ppptj */
       hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);  
       prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ij);
    
       if (popbased==1) {
         for(i=1; i<=nlstate;i++)
           prlim[i][i]=probs[(int)age][i][ij];
       }
      
       /* This for computing force of mortality (h=1)as a weighted average */
       for(j=nlstate+1,gmp[j]=0.;j<=nlstate+ndeath;j++){
         for(i=1; i<= nlstate; i++)
           gmp[j] += prlim[i][i]*p3mat[i][j][1];
       }    
       /* end force of mortality */
   
       fprintf(ficresprobmorprev,"%3d %d ",(int) age, ij);
       for(j=nlstate+1; j<=(nlstate+ndeath);j++){
         fprintf(ficresprobmorprev," %11.3e %11.3e",gmp[j], sqrt(varppt[j][j]));
         for(i=1; i<=nlstate;i++){
           fprintf(ficresprobmorprev," %11.3e %11.3e ",prlim[i][i],p3mat[i][j][1]);
         }
       }
       fprintf(ficresprobmorprev,"\n");
   
     fprintf(ficresvij,"%.0f ",age );      fprintf(ficresvij,"%.0f ",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(ficresvij," %.4f", h*vareij[i][j][(int)age]);          fprintf(ficresvij," %.4f", vareij[i][j][(int)age]);
       }        }
     fprintf(ficresvij,"\n");      fprintf(ficresvij,"\n");
     free_matrix(gp,0,nhstepm,1,nlstate);      free_matrix(gp,0,nhstepm,1,nlstate);
Line 1540  void varevsij(char fileres[], double *** Line 2038  void varevsij(char fileres[], double ***
     free_ma3x(trgradg,0,nhstepm,1,nlstate,1,npar);      free_ma3x(trgradg,0,nhstepm,1,nlstate,1,npar);
     free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);      free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
   } /* End age */    } /* End age */
      free_vector(gpp,nlstate+1,nlstate+ndeath);
     free_vector(gmp,nlstate+1,nlstate+ndeath);
     free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath);
     free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/
     fprintf(ficgp,"\nset noparametric;set nolabel; set ter png small;set size 0.65, 0.65");
     /* for(j=nlstate+1; j<= nlstate+ndeath; j++){ *//* Only the first actually */
     fprintf(ficgp,"\n set log y; set nolog x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");
     fprintf(ficgp,"\n plot \"%s\"  u 1:($3*%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm);
     fprintf(ficgp,"\n replot \"%s\"  u 1:(($3+1.96*$4)*%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm);
     fprintf(ficgp,"\n replot \"%s\"  u 1:(($3-1.96*$4)*%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm);
     fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",fileresprobmorprev,fileresprobmorprev);
     fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,YEARM,digitp,digit);
     fprintf(ficgp,"\nset out \"varmuptjgr%s%s.png\";replot;",digitp,digit);
   
   free_vector(xp,1,npar);    free_vector(xp,1,npar);
   free_matrix(doldm,1,nlstate,1,npar);    free_matrix(doldm,1,nlstate,1,nlstate);
   free_matrix(dnewm,1,nlstate,1,nlstate);    free_matrix(dnewm,1,nlstate,1,npar);
     free_matrix(doldmp,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
     free_matrix(dnewmp,nlstate+1,nlstate+ndeath,1,npar);
     free_matrix(varppt,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
     fclose(ficresprobmorprev);
     fclose(ficgp);
     fclose(fichtm);
   
 }  }
   
Line 1562  void varprevlim(char fileres[], double * Line 2079  void varprevlim(char fileres[], double *
   double age,agelim;    double age,agelim;
   int theta;    int theta;
         
   fprintf(ficresvpl,"# Standard deviation of prevalences limit\n");    fprintf(ficresvpl,"# Standard deviation of prevalence's limit\n");
   fprintf(ficresvpl,"# Age");    fprintf(ficresvpl,"# Age");
   for(i=1; i<=nlstate;i++)    for(i=1; i<=nlstate;i++)
       fprintf(ficresvpl," %1d-%1d",i,i);        fprintf(ficresvpl," %1d-%1d",i,i);
Line 1630  void varprevlim(char fileres[], double * Line 2147  void varprevlim(char fileres[], double *
   
 }  }
   
   /************ Variance of one-step probabilities  ******************/
   void varprob(char optionfilefiname[], double **matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij, int *Tvar, int **nbcode, int *ncodemax)
   {
     int i, j=0,  i1, k1, l1, t, tj;
     int k2, l2, j1,  z1;
     int k=0,l, cptcode;
     int first=1, first1;
     double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;
     double **dnewm,**doldm;
     double *xp;
     double *gp, *gm;
     double **gradg, **trgradg;
     double **mu;
     double age,agelim, cov[NCOVMAX];
     double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */
     int theta;
     char fileresprob[FILENAMELENGTH];
     char fileresprobcov[FILENAMELENGTH];
     char fileresprobcor[FILENAMELENGTH];
   
     double ***varpij;
   
     strcpy(fileresprob,"prob");
     strcat(fileresprob,fileres);
     if((ficresprob=fopen(fileresprob,"w"))==NULL) {
       printf("Problem with resultfile: %s\n", fileresprob);
       fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob);
     }
     strcpy(fileresprobcov,"probcov");
     strcat(fileresprobcov,fileres);
     if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) {
       printf("Problem with resultfile: %s\n", fileresprobcov);
       fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov);
     }
     strcpy(fileresprobcor,"probcor");
     strcat(fileresprobcor,fileres);
     if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) {
       printf("Problem with resultfile: %s\n", fileresprobcor);
       fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor);
     }
     printf("Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob);
     fprintf(ficlog,"Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob);
     printf("Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov);
     fprintf(ficlog,"Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov);
     printf("and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
     fprintf(ficlog,"and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
    
     fprintf(ficresprob,"#One-step probabilities and stand. devi in ()\n");
     fprintf(ficresprob,"# Age");
     fprintf(ficresprobcov,"#One-step probabilities and covariance matrix\n");
     fprintf(ficresprobcov,"# Age");
     fprintf(ficresprobcor,"#One-step probabilities and correlation matrix\n");
     fprintf(ficresprobcov,"# Age");
   
   
 /***********************************************/    for(i=1; i<=nlstate;i++)
 /**************** Main Program *****************/      for(j=1; j<=(nlstate+ndeath);j++){
 /***********************************************/        fprintf(ficresprob," p%1d-%1d (SE)",i,j);
         fprintf(ficresprobcov," p%1d-%1d ",i,j);
         fprintf(ficresprobcor," p%1d-%1d ",i,j);
       }  
     fprintf(ficresprob,"\n");
     fprintf(ficresprobcov,"\n");
     fprintf(ficresprobcor,"\n");
     xp=vector(1,npar);
     dnewm=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
     doldm=matrix(1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath));
     mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage);
     varpij=ma3x(1,nlstate*(nlstate+ndeath),1,nlstate*(nlstate+ndeath),(int) bage, (int) fage);
     first=1;
     if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) {
       printf("Problem with gnuplot file: %s\n", optionfilegnuplot);
       fprintf(ficlog,"Problem with gnuplot file: %s\n", optionfilegnuplot);
       exit(0);
     }
     else{
       fprintf(ficgp,"\n# Routine varprob");
     }
     if((fichtm=fopen(optionfilehtm,"a"))==NULL) {
       printf("Problem with html file: %s\n", optionfilehtm);
       fprintf(ficlog,"Problem with html file: %s\n", optionfilehtm);
       exit(0);
     }
     else{
       fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");
       fprintf(fichtm,"\n");
   
       fprintf(fichtm,"\n<li><h4> Computing matrix of variance-covariance of step probabilities</h4></li>\n");
       fprintf(fichtm,"\nWe have drawn ellipsoids of confidence around the p<inf>ij</inf>, p<inf>kl</inf> to understand the covariance between two incidences. They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>\n");
       fprintf(fichtm,"\n<br> We have drawn x'cov<sup>-1</sup>x = 4 where x is the column vector (pij,pkl). It means that if pij and pkl where uncorrelated the (2X2) matrix would have been (1/(var pij), 0 , 0, 1/(var pkl)), and the confidence interval would be 2 standard deviations wide on each axis. <br> When both incidences are correlated we diagonalised the inverse of the covariance matrix and made the appropriate rotation.<br> \n");
   
 /*int main(int argc, char *argv[])*/    }
 int main()  
 {  
   
   int i,j, k, n=MAXN,iter,m,size,cptcode, cptcod;   
   double agedeb, agefin,hf;    cov[1]=1;
   double agemin=1.e20, agemax=-1.e20;    tj=cptcoveff;
     if (cptcovn<1) {tj=1;ncodemax[1]=1;}
     j1=0;
     for(t=1; t<=tj;t++){
       for(i1=1; i1<=ncodemax[t];i1++){
         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#");
           fprintf(ficresprobcov, "\n#********** Variable ");
           for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
           fprintf(ficresprobcov, "**********\n#");
          
           fprintf(ficgp, "\n#********** Variable ");
           for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, "# V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
           fprintf(ficgp, "**********\n#");
          
          
           fprintf(fichtm, "\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]]);
           fprintf(fichtm, "**********\n<hr size=\"2\" color=\"#EC5E5E\">");
          
           fprintf(ficresprobcor, "\n#********** Variable ");    
           for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
           fprintf(ficgp, "**********\n#");    
         }
        
         for (age=bage; age<=fage; age ++){
           cov[2]=age;
           for (k=1; k<=cptcovn;k++) {
             cov[2+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]];
           }
           for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
           for (k=1; k<=cptcovprod;k++)
             cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];
          
           gradg=matrix(1,npar,1,(nlstate)*(nlstate+ndeath));
           trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
           gp=vector(1,(nlstate)*(nlstate+ndeath));
           gm=vector(1,(nlstate)*(nlstate+ndeath));
      
           for(theta=1; theta <=npar; theta++){
             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); 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); i++){
               for(j=1; j<=(nlstate+ndeath);j++){
                 k=k+1;
                 gm[k]=pmmij[i][j];
               }
             }
        
             for(i=1; i<= (nlstate)*(nlstate+ndeath); i++)
               gradg[theta][i]=(gp[i]-gm[i])/2./delti[theta];  
           }
   
   double fret;          for(j=1; j<=(nlstate)*(nlstate+ndeath);j++)
   double **xi,tmp,delta;            for(theta=1; theta <=npar; theta++)
               trgradg[j][theta]=gradg[theta][j];
          
           matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov);
           matprod2(doldm,dnewm,1,(nlstate)*(nlstate+ndeath),1,npar,1,(nlstate)*(nlstate+ndeath),gradg);
          
           pmij(pmmij,cov,ncovmodel,x,nlstate);
          
           k=0;
           for(i=1; i<=(nlstate); i++){
             for(j=1; j<=(nlstate+ndeath);j++){
               k=k+1;
               mu[k][(int) age]=pmmij[i][j];
             }
           }
           for(i=1;i<=(nlstate)*(nlstate+ndeath);i++)
             for(j=1;j<=(nlstate)*(nlstate+ndeath);j++)
               varpij[i][j][(int)age] = doldm[i][j];
   
           /*printf("\n%d ",(int)age);
        for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){
          printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i]));
          fprintf(ficlog,"%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(ficresprobcov,"\n%d ",(int)age);
           fprintf(ficresprobcor,"\n%d ",(int)age);
   
           for (i=1; i<=(nlstate)*(nlstate+ndeath);i++)
             fprintf(ficresprob,"%11.3e (%11.3e) ",mu[i][(int) age],sqrt(varpij[i][i][(int)age]));
           for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){
             fprintf(ficresprobcov,"%11.3e ",mu[i][(int) age]);
             fprintf(ficresprobcor,"%11.3e ",mu[i][(int) age]);
           }
           i=0;
           for (k=1; k<=(nlstate);k++){
             for (l=1; l<=(nlstate+ndeath);l++){
               i=i++;
               fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l);
               fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l);
               for (j=1; j<=i;j++){
                 fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]);
                 fprintf(ficresprobcor," %11.3e",varpij[i][j][(int) age]/sqrt(varpij[i][i][(int) age])/sqrt(varpij[j][j][(int)age]));
               }
             }
           }/* end of loop for state */
         } /* end of loop for age */
   
         /* Confidence intervalle of pij  */
         /*
         fprintf(ficgp,"\nset noparametric;unset label");
         fprintf(ficgp,"\nset log y;unset log x; set xlabel \"Age\";set ylabel \"probability (year-1)\"");
         fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65");
         fprintf(fichtm,"\n<br>Probability with  confidence intervals expressed in year<sup>-1</sup> :<a href=\"pijgr%s.png\">pijgr%s.png</A>, ",optionfilefiname,optionfilefiname);
         fprintf(fichtm,"\n<br><img src=\"pijgr%s.png\"> ",optionfilefiname);
         fprintf(ficgp,"\nset out \"pijgr%s.png\"",optionfilefiname);
         fprintf(ficgp,"\nplot \"%s\" every :::%d::%d u 1:2 \"\%%lf",k1,k2,xfilevarprob);
         */
   
         /* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/
         first1=1;
         for (k2=1; k2<=(nlstate);k2++){
           for (l2=1; l2<=(nlstate+ndeath);l2++){
             if(l2==k2) continue;
             j=(k2-1)*(nlstate+ndeath)+l2;
             for (k1=1; k1<=(nlstate);k1++){
               for (l1=1; l1<=(nlstate+ndeath);l1++){
                 if(l1==k1) continue;
                 i=(k1-1)*(nlstate+ndeath)+l1;
                 if(i<=j) continue;
                 for (age=bage; age<=fage; age ++){
                   if ((int)age %5==0){
                     v1=varpij[i][i][(int)age]/stepm*YEARM/stepm*YEARM;
                     v2=varpij[j][j][(int)age]/stepm*YEARM/stepm*YEARM;
                     cv12=varpij[i][j][(int)age]/stepm*YEARM/stepm*YEARM;
                     mu1=mu[i][(int) age]/stepm*YEARM ;
                     mu2=mu[j][(int) age]/stepm*YEARM;
                     c12=cv12/sqrt(v1*v2);
                     /* Computing eigen value of matrix of covariance */
                     lc1=((v1+v2)+sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.;
                     lc2=((v1+v2)-sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.;
                     /* Eigen vectors */
                     v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12));
                     /*v21=sqrt(1.-v11*v11); *//* error */
                     v21=(lc1-v1)/cv12*v11;
                     v12=-v21;
                     v22=v11;
                     tnalp=v21/v11;
                     if(first1==1){
                       first1=0;
                       printf("%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tang %.3f\nOthers in log...\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp);
                     }
                     fprintf(ficlog,"%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp);
                     /*printf(fignu*/
                     /* mu1+ v11*lc1*cost + v12*lc2*sin(t) */
                     /* mu2+ v21*lc1*cost + v22*lc2*sin(t) */
                     if(first==1){
                       first=0;
                       fprintf(ficgp,"\nset parametric;unset label");
                       fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2);
                       fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65");
                       fprintf(fichtm,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup> :<a href=\"varpijgr%s%d%1d%1d-%1d%1d.png\">varpijgr%s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,optionfilefiname, j1,k1,l1,k2,l2,optionfilefiname, j1,k1,l1,k2,l2);
                       fprintf(fichtm,"\n<br><img src=\"varpijgr%s%d%1d%1d-%1d%1d.png\"> ",optionfilefiname, j1,k1,l1,k2,l2);
                       fprintf(ficgp,"\nset out \"varpijgr%s%d%1d%1d-%1d%1d.png\"",optionfilefiname, j1,k1,l1,k2,l2);
                       fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);
                       fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);
                       fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not",\
                               mu1,std,v11,sqrt(lc1),v12,sqrt(lc2),\
                               mu2,std,v21,sqrt(lc1),v22,sqrt(lc2));
                     }else{
                       first=0;
                       fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);
                       fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);
                       fprintf(ficgp,"\nreplot %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not",\
                               mu1,std,v11,sqrt(lc1),v12,sqrt(lc2),\
                               mu2,std,v21,sqrt(lc1),v22,sqrt(lc2));
                     }/* if first */
                   } /* age mod 5 */
                 } /* end loop age */
                 fprintf(ficgp,"\nset out \"varpijgr%s%d%1d%1d-%1d%1d.png\";replot;",optionfilefiname, j1,k1,l1,k2,l2);
                 first=1;
               } /*l12 */
             } /* k12 */
           } /*l1 */
         }/* k1 */
       } /* loop covariates */
       free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);
       free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath));
       free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath));
       free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);
       free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
       free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
     }
     free_vector(xp,1,npar);
     fclose(ficresprob);
     fclose(ficresprobcov);
     fclose(ficresprobcor);
     fclose(ficgp);
     fclose(fichtm);
   }
   
   
   /******************* Printing html file ***********/
   void printinghtml(char fileres[], char title[], char datafile[], int firstpass, \
                     int lastpass, int stepm, int weightopt, char model[],\
                     int imx,int jmin, int jmax, double jmeanint,char rfileres[],\
                     int popforecast, int estepm ,\
                     double jprev1, double mprev1,double anprev1, \
                     double jprev2, double mprev2,double anprev2){
     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
    - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"p%s\">p%s</a> <br>\n
    - Estimated transition probabilities over %d (stepm) months: <a href=\"pij%s\">pij%s</a><br>\n
    - Stable prevalence in each health state: <a href=\"pl%s\">pl%s</a> <br>\n
    - Life expectancies by age and initial health status (estepm=%2d months):
      <a href=\"e%s\">e%s</a> <br>\n</li>", \
     jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,fileres,fileres,stepm,fileres,fileres,fileres,fileres,estepm,fileres,fileres);
   
   fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");
   
    m=cptcoveff;
    if (cptcovn < 1) {m=1;ncodemax[1]=1;}
   
    jj1=0;
    for(k1=1; k1<=m;k1++){
      for(i1=1; i1<=ncodemax[k1];i1++){
        jj1++;
        if (cptcovn > 0) {
          fprintf(fichtm,"<hr  size=\"2\" color=\"#EC5E5E\">************ Results for covariates");
          for (cpt=1; cpt<=cptcoveff;cpt++)
            fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[jj1][cpt]]);
          fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
        }
        /* Pij */
        fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before: pe%s%d1.png<br>
   <img src=\"pe%s%d1.png\">",stepm,strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1);    
        /* Quasi-incidences */
        fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: pe%s%d2.png<br>
   <img src=\"pe%s%d2.png\">",stepm,strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1);
          /* Stable prevalence in each health state */
          for(cpt=1; cpt<nlstate;cpt++){
            fprintf(fichtm,"<br>- Stable prevalence in each health state : p%s%d%d.png<br>
   <img src=\"p%s%d%d.png\">",strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1);
          }
        for(cpt=1; cpt<=nlstate;cpt++) {
           fprintf(fichtm,"\n<br>- Health life expectancies by age and initial health state (%d): exp%s%d%d.png <br>
   <img src=\"exp%s%d%d.png\">",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1);
        }
        fprintf(fichtm,"\n<br>- Total life expectancy by age and
   health expectancies in states (1) and (2): e%s%d.png<br>
   <img src=\"e%s%d.png\">",strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1);
      } /* end i1 */
    }/* End k1 */
    fprintf(fichtm,"</ul>");
   
   
    fprintf(fichtm,"\n<br><li><h4> Result files (second order: variances)</h4>\n
    - Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br>\n
    - Variance of one-step probabilities: <a href=\"prob%s\">prob%s</a> <br>\n
    - Variance-covariance of one-step probabilities: <a href=\"probcov%s\">probcov%s</a> <br>\n
    - Correlation matrix of one-step probabilities: <a href=\"probcor%s\">probcor%s</a> <br>\n
    - Variances and covariances 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 (no covariance): <a href=\"t%s\">t%s</a> <br>\n
    - Standard deviation of stable prevalences: <a href=\"vpl%s\">vpl%s</a> <br>\n",rfileres,rfileres,fileres,fileres,fileres,fileres,fileres,fileres, estepm, fileres,fileres,fileres,fileres,fileres,fileres);
   
    if(popforecast==1) fprintf(fichtm,"\n
    - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n
    - Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n
           <br>",fileres,fileres,fileres,fileres);
    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," <ul><li><b>Graphs</b></li><p>");
   
    m=cptcoveff;
    if (cptcovn < 1) {m=1;ncodemax[1]=1;}
   
    jj1=0;
    for(k1=1; k1<=m;k1++){
      for(i1=1; i1<=ncodemax[k1];i1++){
        jj1++;
        if (cptcovn > 0) {
          fprintf(fichtm,"<hr  size=\"2\" color=\"#EC5E5E\">************ Results for covariates");
          for (cpt=1; cpt<=cptcoveff;cpt++)
            fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[jj1][cpt]]);
          fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
        }
        for(cpt=1; cpt<=nlstate;cpt++) {
          fprintf(fichtm,"<br>- Observed and stationary prevalence (with confident
   interval) in state (%d): v%s%d%d.png <br>
   <img src=\"v%s%d%d.png\">",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1);  
        }
      } /* end i1 */
    }/* End k1 */
    fprintf(fichtm,"</ul>");
   fclose(fichtm);
   }
   
   /******************* Gnuplot file **************/
   void printinggnuplot(char fileres[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){
   
     int m,cpt,k1,i,k,j,jk,k2,k3,ij,l;
     int ng;
     if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) {
       printf("Problem with file %s",optionfilegnuplot);
       fprintf(ficlog,"Problem with file %s",optionfilegnuplot);
     }
   
   #ifdef windows
       fprintf(ficgp,"cd \"%s\" \n",pathc);
   #endif
   m=pow(2,cptcoveff);
    
    /* 1eme*/
     for (cpt=1; cpt<= nlstate ; cpt ++) {
      for (k1=1; k1<= m ; k1 ++) {
   
   #ifdef windows
        fprintf(ficgp,"\nset out \"v%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);
        fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"vpl%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,fileres,k1-1,k1-1);
   #endif
   #ifdef unix
   fprintf(ficgp,"\nset out \"v%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);
   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 ++) {
     if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
     else fprintf(ficgp," \%%*lf (\%%*lf)");
   }
       fprintf(ficgp,"\" t\"Stationary prevalence\" w l 0,\"vpl%s\" every :::%d::%d u 1:($2+2*$3) \"\%%lf",fileres,k1-1,k1-1);
       for (i=1; i<= nlstate ; i ++) {
     if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
     else fprintf(ficgp," \%%*lf (\%%*lf)");
   }
     fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"vpl%s\" every :::%d::%d u 1:($2-2*$3) \"\%%lf",fileres,k1-1,k1-1);
        for (i=1; i<= nlstate ; i ++) {
     if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
     else fprintf(ficgp," \%%*lf (\%%*lf)");
   }  
        fprintf(ficgp,"\" t\"\" w l 1,\"p%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",fileres,k1-1,k1-1,2+4*(cpt-1));
   #ifdef unix
   fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65\n");
   #endif
      }
     }
     /*2 eme*/
   
     for (k1=1; k1<= m ; k1 ++) {
       fprintf(ficgp,"\nset out \"e%s%d.png\" \n",strtok(optionfile, "."),k1);
       fprintf(ficgp,"set ylabel \"Years\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] ",ageminpar,fage);
      
       for (i=1; i<= nlstate+1 ; i ++) {
         k=2*i;
         fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:2 \"\%%lf",fileres,k1-1,k1-1);
         for (j=1; j<= nlstate+1 ; j ++) {
     if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
     else fprintf(ficgp," \%%*lf (\%%*lf)");
   }  
         if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,");
         else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1);
       fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2-$3*2) \"\%%lf",fileres,k1-1,k1-1);
         for (j=1; j<= nlstate+1 ; j ++) {
           if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
           else fprintf(ficgp," \%%*lf (\%%*lf)");
   }  
         fprintf(ficgp,"\" t\"\" w l 0,");
        fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",fileres,k1-1,k1-1);
         for (j=1; j<= nlstate+1 ; j ++) {
     if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
     else fprintf(ficgp," \%%*lf (\%%*lf)");
   }  
         if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l 0");
         else fprintf(ficgp,"\" t\"\" w l 0,");
       }
     }
    
     /*3eme*/
   
     for (k1=1; k1<= m ; k1 ++) {
       for (cpt=1; cpt<= nlstate ; cpt ++) {
         k=2+nlstate*(2*cpt-2);
         fprintf(ficgp,"\nset out \"exp%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);
         fprintf(ficgp,"set ter png small\nset size 0.65,0.65\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 ++) {
           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);
   
         }
       }
     }
    
     /* CV preval stat */
       for (k1=1; k1<= m ; k1 ++) {
       for (cpt=1; cpt<nlstate ; cpt ++) {
         k=3;
         fprintf(ficgp,"\nset out \"p%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);
         fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",ageminpar,agemaxpar,fileres,k1,k+cpt+1,k+1);
   
         for (i=1; i< nlstate ; i ++)
           fprintf(ficgp,"+$%d",k+i+1);
         fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);
        
         l=3+(nlstate+ndeath)*cpt;
         fprintf(ficgp,",\"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",fileres,k1,l+cpt+1,l+1);
         for (i=1; i< nlstate ; i ++) {
           l=3+(nlstate+ndeath)*cpt;
           fprintf(ficgp,"+$%d",l+i+1);
         }
         fprintf(ficgp,")) t\"prev(%d,%d)\" w l\n",cpt+1,cpt+1);  
       }
     }  
    
     /* proba elementaires */
      for(i=1,jk=1; i <=nlstate; i++){
       for(k=1; k <=(nlstate+ndeath); k++){
         if (k != i) {
           for(j=1; j <=ncovmodel; j++){
             fprintf(ficgp,"p%d=%f ",jk,p[jk]);
             jk++;
             fprintf(ficgp,"\n");
           }
         }
       }
      }
   
      for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/
        for(jk=1; jk <=m; jk++) {
          fprintf(ficgp,"\nset out \"pe%s%d%d.png\" \n",strtok(optionfile, "."),jk,ng);
          if (ng==2)
            fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");
          else
            fprintf(ficgp,"\nset title \"Probability\"\n");
          fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65\nset log y\nplot  [%.f:%.f] ",ageminpar,agemaxpar);
          i=1;
          for(k2=1; k2<=nlstate; k2++) {
            k3=i;
            for(k=1; k<=(nlstate+ndeath); k++) {
              if (k != k2){
                if(ng==2)
                  fprintf(ficgp," %f*exp(p%d+p%d*x",YEARM/stepm,i,i+1);
                else
                  fprintf(ficgp," exp(p%d+p%d*x",i,i+1);
                ij=1;
                for(j=3; j <=ncovmodel; j++) {
                  if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {
                    fprintf(ficgp,"+p%d*%d*x",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);
                    ij++;
                  }
                  else
                    fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
                }
                fprintf(ficgp,")/(1");
                
                for(k1=1; k1 <=nlstate; k1++){  
                  fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1);
                  ij=1;
                  for(j=3; j <=ncovmodel; j++){
                    if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {
                      fprintf(ficgp,"+p%d*%d*x",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);
                      ij++;
                    }
                    else
                      fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
                  }
                  fprintf(ficgp,")");
                }
                fprintf(ficgp,") t \"p%d%d\" ", k2,k);
                if ((k+k2)!= (nlstate*2+ndeath)) fprintf(ficgp,",");
                i=i+ncovmodel;
              }
            } /* end k */
          } /* end k2 */
        } /* end jk */
      } /* end ng */
      fclose(ficgp);
   }  /* end gnuplot */
   
   
   /*************** Moving average **************/
   void movingaverage(double agedeb, double fage,double ageminpar, double ***mobaverage){
   
     int i, cpt, cptcod;
       for (agedeb=ageminpar; agedeb<=fage; agedeb++)
         for (i=1; i<=nlstate;i++)
           for (cptcod=1;cptcod<=ncodemax[cptcov];cptcod++)
             mobaverage[(int)agedeb][i][cptcod]=0.;
      
       for (agedeb=ageminpar+4; agedeb<=fage; agedeb++){
         for (i=1; i<=nlstate;i++){
           for (cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
             for (cpt=0;cpt<=4;cpt++){
               mobaverage[(int)agedeb-2][i][cptcod]=mobaverage[(int)agedeb-2][i][cptcod]+probs[(int)agedeb-cpt][i][cptcod];
             }
             mobaverage[(int)agedeb-2][i][cptcod]=mobaverage[(int)agedeb-2][i][cptcod]/5;
           }
         }
       }
      
   }
   
   
   /************** Forecasting ******************/
   prevforecast(char fileres[], double anproj1,double mproj1,double jproj1,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anproj2,double p[], int i2){
    
     int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;
     int *popage;
     double calagedate, agelim, kk1, kk2, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;
     double *popeffectif,*popcount;
     double ***p3mat;
     char fileresf[FILENAMELENGTH];
   
    agelim=AGESUP;
   calagedate=(anproj1+mproj1/12.+jproj1/365.-dateintmean)*YEARM;
   
     prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate);
    
    
     strcpy(fileresf,"f");
     strcat(fileresf,fileres);
     if((ficresf=fopen(fileresf,"w"))==NULL) {
       printf("Problem with forecast resultfile: %s\n", fileresf);
       fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf);
     }
     printf("Computing forecasting: result on file '%s' \n", fileresf);
     fprintf(ficlog,"Computing forecasting: result on file '%s' \n", fileresf);
   
     if (cptcoveff==0) ncodemax[cptcoveff]=1;
   
     if (mobilav==1) {
       mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
       movingaverage(agedeb, fage, ageminpar, mobaverage);
     }
   
     stepsize=(int) (stepm+YEARM-1)/YEARM;
     if (stepm<=12) stepsize=1;
    
     agelim=AGESUP;
    
     hstepm=1;
     hstepm=hstepm/stepm;
     yp1=modf(dateintmean,&yp);
     anprojmean=yp;
     yp2=modf((yp1*12),&yp);
     mprojmean=yp;
     yp1=modf((yp2*30.5),&yp);
     jprojmean=yp;
     if(jprojmean==0) jprojmean=1;
     if(mprojmean==0) jprojmean=1;
    
     fprintf(ficresf,"# Estimated date of observed prevalence: %.lf/%.lf/%.lf ",jprojmean,mprojmean,anprojmean);
    
     for(cptcov=1;cptcov<=i2;cptcov++){
       for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
         k=k+1;
         fprintf(ficresf,"\n#******");
         for(j=1;j<=cptcoveff;j++) {
           fprintf(ficresf," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
         }
         fprintf(ficresf,"******\n");
         fprintf(ficresf,"# StartingAge FinalAge");
         for(j=1; j<=nlstate+ndeath;j++) fprintf(ficresf," P.%d",j);
        
        
         for (cpt=0; cpt<=(anproj2-anproj1);cpt++) {
           fprintf(ficresf,"\n");
           fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+cpt);  
   
           for (agedeb=(fage-((int)calagedate %12/12.)); agedeb>=(ageminpar-((int)calagedate %12)/12.); agedeb--){
             nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm);
             nhstepm = nhstepm/hstepm;
            
             p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
             oldm=oldms;savm=savms;
             hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
          
             for (h=0; h<=nhstepm; h++){
               if (h==(int) (calagedate+YEARM*cpt)) {
                 fprintf(ficresf,"\n %.f %.f ",anproj1+cpt,agedeb+h*hstepm/YEARM*stepm);
               }
               for(j=1; j<=nlstate+ndeath;j++) {
                 kk1=0.;kk2=0;
                 for(i=1; i<=nlstate;i++) {              
                   if (mobilav==1)
                     kk1=kk1+p3mat[i][j][h]*mobaverage[(int)agedeb+1][i][cptcod];
                   else {
                     kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod];
                   }
                  
                 }
                 if (h==(int)(calagedate+12*cpt)){
                   fprintf(ficresf," %.3f", kk1);
                          
                 }
               }
             }
             free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
           }
         }
       }
     }
          
     if (mobilav==1) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
   
     fclose(ficresf);
   }
   /************** Forecasting ******************/
   populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){
    
     int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;
     int *popage;
     double calagedate, agelim, kk1, kk2, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;
     double *popeffectif,*popcount;
     double ***p3mat,***tabpop,***tabpopprev;
     char filerespop[FILENAMELENGTH];
   
     tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
     tabpopprev= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
     agelim=AGESUP;
     calagedate=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM;
    
     prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate);
    
    
     strcpy(filerespop,"pop");
     strcat(filerespop,fileres);
     if((ficrespop=fopen(filerespop,"w"))==NULL) {
       printf("Problem with forecast resultfile: %s\n", filerespop);
       fprintf(ficlog,"Problem with forecast resultfile: %s\n", filerespop);
     }
     printf("Computing forecasting: result on file '%s' \n", filerespop);
     fprintf(ficlog,"Computing forecasting: result on file '%s' \n", filerespop);
   
     if (cptcoveff==0) ncodemax[cptcoveff]=1;
   
     if (mobilav==1) {
       mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
       movingaverage(agedeb, fage, ageminpar, mobaverage);
     }
   
     stepsize=(int) (stepm+YEARM-1)/YEARM;
     if (stepm<=12) stepsize=1;
    
     agelim=AGESUP;
    
     hstepm=1;
     hstepm=hstepm/stepm;
    
     if (popforecast==1) {
       if((ficpop=fopen(popfile,"r"))==NULL) {
         printf("Problem with population file : %s\n",popfile);exit(0);
         fprintf(ficlog,"Problem with population file : %s\n",popfile);exit(0);
       }
       popage=ivector(0,AGESUP);
       popeffectif=vector(0,AGESUP);
       popcount=vector(0,AGESUP);
      
       i=1;  
       while ((c=fscanf(ficpop,"%d %lf\n",&popage[i],&popcount[i])) != EOF) i=i+1;
      
       imx=i;
       for (i=1; i<imx;i++) popeffectif[popage[i]]=popcount[i];
     }
   
     for(cptcov=1;cptcov<=i2;cptcov++){
      for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
         k=k+1;
         fprintf(ficrespop,"\n#******");
         for(j=1;j<=cptcoveff;j++) {
           fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
         }
         fprintf(ficrespop,"******\n");
         fprintf(ficrespop,"# Age");
         for(j=1; j<=nlstate+ndeath;j++) fprintf(ficrespop," P.%d",j);
         if (popforecast==1)  fprintf(ficrespop," [Population]");
        
         for (cpt=0; cpt<=0;cpt++) {
           fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt);  
          
           for (agedeb=(fage-((int)calagedate %12/12.)); agedeb>=(ageminpar-((int)calagedate %12)/12.); agedeb--){
             nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm);
             nhstepm = nhstepm/hstepm;
            
             p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
             oldm=oldms;savm=savms;
             hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
          
             for (h=0; h<=nhstepm; h++){
               if (h==(int) (calagedate+YEARM*cpt)) {
                 fprintf(ficrespop,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm);
               }
               for(j=1; j<=nlstate+ndeath;j++) {
                 kk1=0.;kk2=0;
                 for(i=1; i<=nlstate;i++) {              
                   if (mobilav==1)
                     kk1=kk1+p3mat[i][j][h]*mobaverage[(int)agedeb+1][i][cptcod];
                   else {
                     kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod];
                   }
                 }
                 if (h==(int)(calagedate+12*cpt)){
                   tabpop[(int)(agedeb)][j][cptcod]=kk1;
                     /*fprintf(ficrespop," %.3f", kk1);
                       if (popforecast==1) fprintf(ficrespop," [%.f]", kk1*popeffectif[(int)agedeb+1]);*/
                 }
               }
               for(i=1; i<=nlstate;i++){
                 kk1=0.;
                   for(j=1; j<=nlstate;j++){
                     kk1= kk1+tabpop[(int)(agedeb)][j][cptcod];
                   }
                     tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1*popeffectif[(int)(agedeb+(calagedate+12*cpt)*hstepm/YEARM*stepm-1)];
               }
   
               if (h==(int)(calagedate+12*cpt)) for(j=1; j<=nlstate;j++)
                 fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]);
             }
             free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
           }
         }
    
     /******/
   
         for (cpt=1; cpt<=(anpyram1-anpyram);cpt++) {
           fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt);  
           for (agedeb=(fage-((int)calagedate %12/12.)); agedeb>=(ageminpar-((int)calagedate %12)/12.); agedeb--){
             nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm);
             nhstepm = nhstepm/hstepm;
            
             p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
             oldm=oldms;savm=savms;
             hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
             for (h=0; h<=nhstepm; h++){
               if (h==(int) (calagedate+YEARM*cpt)) {
                 fprintf(ficresf,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm);
               }
               for(j=1; j<=nlstate+ndeath;j++) {
                 kk1=0.;kk2=0;
                 for(i=1; i<=nlstate;i++) {              
                   kk1=kk1+p3mat[i][j][h]*tabpopprev[(int)agedeb+1][i][cptcod];    
                 }
                 if (h==(int)(calagedate+12*cpt)) fprintf(ficresf," %15.2f", kk1);
               }
             }
             free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
           }
         }
      }
     }
    
     if (mobilav==1) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
   
     if (popforecast==1) {
       free_ivector(popage,0,AGESUP);
       free_vector(popeffectif,0,AGESUP);
       free_vector(popcount,0,AGESUP);
     }
     free_ma3x(tabpop,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
     free_ma3x(tabpopprev,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
     fclose(ficrespop);
   }
   
   /***********************************************/
   /**************** Main Program *****************/
   /***********************************************/
   
   int main(int argc, char *argv[])
   {
   
     int i,j, k, n=MAXN,iter,m,size,cptcode, cptcod;
     double agedeb, agefin,hf;
     double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20;
   
     double fret;
     double **xi,tmp,delta;
   
   double dum; /* Dummy variable */    double dum; /* Dummy variable */
   double ***p3mat;    double ***p3mat;
   int *indx;    int *indx;
   char line[MAXLINE], linepar[MAXLINE];    char line[MAXLINE], linepar[MAXLINE];
   char title[MAXLINE];    char path[80],pathc[80],pathcd[80],pathtot[80],model[80];
   char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH],  filerespl[FILENAMELENGTH], optionfilehtm[FILENAMELENGTH];  
   char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH];  
   char filerest[FILENAMELENGTH];  
   char fileregp[FILENAMELENGTH];  
   char path[80],pathc[80],pathcd[80],pathtot[80],model[20];  
   int firstobs=1, lastobs=10;    int firstobs=1, lastobs=10;
   int sdeb, sfin; /* Status at beginning and end */    int sdeb, sfin; /* Status at beginning and end */
   int c,  h , cpt,l;    int c,  h , cpt,l;
   int ju,jl, mi;    int ju,jl, mi;
   int i1,j1, k1,k2,k3,jk,aa,bb, stepsize, ij;    int i1,j1, k1,k2,k3,jk,aa,bb, stepsize, ij;
   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 hstepm, nhstepm;    int hstepm, nhstepm;
     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;
   double **prlim;    double **prlim;
Line 1677  int main() Line 3072  int main()
   double ***eij, ***vareij;    double ***eij, ***vareij;
   double **varpl; /* Variances of prevalence limits by age */    double **varpl; /* Variances of prevalence limits by age */
   double *epj, vepp;    double *epj, vepp;
   char version[80]="Imach version 64b, May 2001, INED-EUROREVES ";    double kk1, kk2;
     double dateprev1, dateprev2,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2;
    
   
   char *alph[]={"a","a","b","c","d","e"}, str[4];    char *alph[]={"a","a","b","c","d","e"}, str[4];
   
   
   char z[1]="c", occ;    char z[1]="c", occ;
 #include <sys/time.h>  #include <sys/time.h>
 #include <time.h>  #include <time.h>
   char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];    char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];
    
   /* long total_usecs;    /* long total_usecs;
   struct timeval start_time, end_time;    struct timeval start_time, end_time;
     
   gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */    gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */
   
   
   printf("\nIMACH, Version 0.64b");  
   printf("\nEnter the parameter file name: ");  
   
 #ifdef windows  
   scanf("%s",pathtot);  
   getcwd(pathcd, size);    getcwd(pathcd, size);
   
     printf("\n%s",version);
     if(argc <=1){
       printf("\nEnter the parameter file name: ");
       scanf("%s",pathtot);
     }
     else{
       strcpy(pathtot,argv[1]);
     }
     /*if(getcwd(pathcd, 80)!= NULL)printf ("Error pathcd\n");*/
   /*cygwin_split_path(pathtot,path,optionfile);    /*cygwin_split_path(pathtot,path,optionfile);
     printf("pathtot=%s, path=%s, optionfile=%s\n",pathtot,path,optionfile);*/      printf("pathtot=%s, path=%s, optionfile=%s\n",pathtot,path,optionfile);*/
   /* cutv(path,optionfile,pathtot,'\\');*/    /* cutv(path,optionfile,pathtot,'\\');*/
   
 split(pathtot, path,optionfile);    split(pathtot,path,optionfile,optionfilext,optionfilefiname);
      printf("pathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);
   chdir(path);    chdir(path);
   replace(pathc,path);    replace(pathc,path);
 #endif  
 #ifdef unix  
   scanf("%s",optionfile);  
 #endif  
   
 /*-------- arguments in the command line --------*/  /*-------- arguments in the command line --------*/
   
     /* Log file */
     strcat(filelog, optionfilefiname);
     strcat(filelog,".log");    /* */
     if((ficlog=fopen(filelog,"w"))==NULL)    {
       printf("Problem with logfile %s\n",filelog);
       goto end;
     }
     fprintf(ficlog,"Log filename:%s\n",filelog);
     fprintf(ficlog,"\n%s",version);
     fprintf(ficlog,"\nEnter the parameter file name: ");
     fprintf(ficlog,"pathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);
     fflush(ficlog);
   
     /* */
   strcpy(fileres,"r");    strcpy(fileres,"r");
   strcat(fileres, optionfile);    strcat(fileres, optionfilefiname);
     strcat(fileres,".txt");    /* Other files have txt extension */
   
   /*---------arguments file --------*/    /*---------arguments file --------*/
   
   if((ficpar=fopen(optionfile,"r"))==NULL)    {    if((ficpar=fopen(optionfile,"r"))==NULL)    {
     printf("Problem with optionfile %s\n",optionfile);      printf("Problem with optionfile %s\n",optionfile);
       fprintf(ficlog,"Problem with optionfile %s\n",optionfile);
     goto end;      goto end;
   }    }
   
   strcpy(filereso,"o");    strcpy(filereso,"o");
   strcat(filereso,fileres);    strcat(filereso,fileres);
   if((ficparo=fopen(filereso,"w"))==NULL) {    if((ficparo=fopen(filereso,"w"))==NULL) {
     printf("Problem with Output resultfile: %s\n", filereso);goto end;      printf("Problem with Output resultfile: %s\n", filereso);
       fprintf(ficlog,"Problem with Output resultfile: %s\n", filereso);
       goto end;
   }    }
   
   /* Reads comments: lines beginning with '#' */    /* Reads comments: lines beginning with '#' */
Line 1735  split(pathtot, path,optionfile); Line 3153  split(pathtot, path,optionfile);
   }    }
   ungetc(c,ficpar);    ungetc(c,ficpar);
   
   fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncov, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);    fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);
   printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncov, nlstate,ndeath, maxwav, mle, weightopt,model);    printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model);
   fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncov,nlstate,ndeath,maxwav, mle, weightopt,model);    fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);
   while((c=getc(ficpar))=='#' && c!= EOF){
       ungetc(c,ficpar);
       fgets(line, MAXLINE, ficpar);
       puts(line);
       fputs(line,ficparo);
     }
     ungetc(c,ficpar);
    
      
   covar=matrix(0,NCOVMAX,1,n);    covar=matrix(0,NCOVMAX,1,n);
   cptcovn=0;    cptcovn=0;
   if (strlen(model)>1) cptcovn=nbocc(model,'+')+1;    if (strlen(model)>1) cptcovn=nbocc(model,'+')+1;
Line 1761  split(pathtot, path,optionfile); Line 3187  split(pathtot, path,optionfile);
     for(j=1; j <=nlstate+ndeath-1; j++){      for(j=1; j <=nlstate+ndeath-1; j++){
       fscanf(ficpar,"%1d%1d",&i1,&j1);        fscanf(ficpar,"%1d%1d",&i1,&j1);
       fprintf(ficparo,"%1d%1d",i1,j1);        fprintf(ficparo,"%1d%1d",i1,j1);
       printf("%1d%1d",i,j);        if(mle==1)
           printf("%1d%1d",i,j);
         fprintf(ficlog,"%1d%1d",i,j);
       for(k=1; k<=ncovmodel;k++){        for(k=1; k<=ncovmodel;k++){
         fscanf(ficpar," %lf",&param[i][j][k]);          fscanf(ficpar," %lf",&param[i][j][k]);
         printf(" %lf",param[i][j][k]);          if(mle==1){
             printf(" %lf",param[i][j][k]);
             fprintf(ficlog," %lf",param[i][j][k]);
           }
           else
             fprintf(ficlog," %lf",param[i][j][k]);
         fprintf(ficparo," %lf",param[i][j][k]);          fprintf(ficparo," %lf",param[i][j][k]);
       }        }
       fscanf(ficpar,"\n");        fscanf(ficpar,"\n");
       printf("\n");        if(mle==1)
           printf("\n");
         fprintf(ficlog,"\n");
       fprintf(ficparo,"\n");        fprintf(ficparo,"\n");
     }      }
     
   npar= (nlstate+ndeath-1)*nlstate*ncovmodel;      npar= (nlstate+ndeath-1)*nlstate*ncovmodel;
   
   p=param[1][1];    p=param[1][1];
     
   /* Reads comments: lines beginning with '#' */    /* Reads comments: lines beginning with '#' */
Line 1815  split(pathtot, path,optionfile); Line 3251  split(pathtot, path,optionfile);
   matcov=matrix(1,npar,1,npar);    matcov=matrix(1,npar,1,npar);
   for(i=1; i <=npar; i++){    for(i=1; i <=npar; i++){
     fscanf(ficpar,"%s",&str);      fscanf(ficpar,"%s",&str);
     printf("%s",str);      if(mle==1)
         printf("%s",str);
       fprintf(ficlog,"%s",str);
     fprintf(ficparo,"%s",str);      fprintf(ficparo,"%s",str);
     for(j=1; j <=i; j++){      for(j=1; j <=i; j++){
       fscanf(ficpar," %le",&matcov[i][j]);        fscanf(ficpar," %le",&matcov[i][j]);
       printf(" %.5le",matcov[i][j]);        if(mle==1){
           printf(" %.5le",matcov[i][j]);
           fprintf(ficlog," %.5le",matcov[i][j]);
         }
         else
           fprintf(ficlog," %.5le",matcov[i][j]);
       fprintf(ficparo," %.5le",matcov[i][j]);        fprintf(ficparo," %.5le",matcov[i][j]);
     }      }
     fscanf(ficpar,"\n");      fscanf(ficpar,"\n");
     printf("\n");      if(mle==1)
         printf("\n");
       fprintf(ficlog,"\n");
     fprintf(ficparo,"\n");      fprintf(ficparo,"\n");
   }    }
   for(i=1; i <=npar; i++)    for(i=1; i <=npar; i++)
     for(j=i+1;j<=npar;j++)      for(j=i+1;j<=npar;j++)
       matcov[i][j]=matcov[j][i];        matcov[i][j]=matcov[j][i];
         
   printf("\n");    if(mle==1)
       printf("\n");
     fprintf(ficlog,"\n");
   
   
     /*-------- data file ----------*/      /*-------- Rewriting paramater file ----------*/
     if((ficres =fopen(fileres,"w"))==NULL) {       strcpy(rfileres,"r");    /* "Rparameterfile */
       printf("Problem with resultfile: %s\n", fileres);goto end;       strcat(rfileres,optionfilefiname);    /* Parameter file first name*/
        strcat(rfileres,".");    /* */
        strcat(rfileres,optionfilext);    /* Other files have txt extension */
       if((ficres =fopen(rfileres,"w"))==NULL) {
         printf("Problem writing new parameter file: %s\n", fileres);goto end;
         fprintf(ficlog,"Problem writing new parameter file: %s\n", fileres);goto end;
     }      }
     fprintf(ficres,"#%s\n",version);      fprintf(ficres,"#%s\n",version);
         
       /*-------- data file ----------*/
     if((fic=fopen(datafile,"r"))==NULL)    {      if((fic=fopen(datafile,"r"))==NULL)    {
       printf("Problem with datafile: %s\n", datafile);goto end;        printf("Problem with datafile: %s\n", datafile);goto end;
         fprintf(ficlog,"Problem with datafile: %s\n", datafile);goto end;
     }      }
   
     n= lastobs;      n= lastobs;
Line 1862  split(pathtot, path,optionfile); Line 3316  split(pathtot, path,optionfile);
     tab=ivector(1,NCOVMAX);      tab=ivector(1,NCOVMAX);
     ncodemax=ivector(1,8);      ncodemax=ivector(1,8);
   
     i=1;      i=1;
     while (fgets(line, MAXLINE, fic) != NULL)    {      while (fgets(line, MAXLINE, fic) != NULL)    {
       if ((i >= firstobs) && (i <=lastobs)) {        if ((i >= firstobs) && (i <=lastobs)) {
                 
Line 1880  split(pathtot, path,optionfile); Line 3334  split(pathtot, path,optionfile);
         cutv(stra, strb,line,' '); moisnais[i]=(double)(atoi(strb)); strcpy(line,stra);          cutv(stra, strb,line,' '); moisnais[i]=(double)(atoi(strb)); strcpy(line,stra);
   
         cutv(stra, strb,line,' '); weight[i]=(double)(atoi(strb)); strcpy(line,stra);          cutv(stra, strb,line,' '); weight[i]=(double)(atoi(strb)); strcpy(line,stra);
         for (j=ncov;j>=1;j--){          for (j=ncovcol;j>=1;j--){
           cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra);            cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra);
         }          }
         num[i]=atol(stra);          num[i]=atol(stra);
          
         /*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]));*/          /*if((s[2][i]==2) && (s[3][i]==-1)&&(s[4][i]==9)){
             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])); ij=ij+1;}*/
   
         i=i+1;          i=i+1;
       }        }
     }      }
       /* printf("ii=%d", ij);
     /*scanf("%d",i);*/         scanf("%d",i);*/
   imx=i-1; /* Number of individuals */    imx=i-1; /* Number of individuals */
   
     /* for (i=1; i<=imx; i++){
       if ((s[1][i]==3) && (s[2][i]==2)) s[2][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;
       }*/
      /*  for (i=1; i<=imx; i++){
        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]));}*/
    
    
   /* 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); /* stores the number n of the covariates in Vm+Vn at 1 and m at 2 */
   Tprod=ivector(1,15);    Tprod=ivector(1,15);
   Tvaraff=ivector(1,15);    Tvaraff=ivector(1,15);
   Tvard=imatrix(1,15,1,2);    Tvard=imatrix(1,15,1,2);
Line 1908  split(pathtot, path,optionfile); Line 3373  split(pathtot, path,optionfile);
     cptcovn=j+1;      cptcovn=j+1;
     cptcovprod=j1;      cptcovprod=j1;
         
      
     strcpy(modelsav,model);      strcpy(modelsav,model);
     if ((strcmp(model,"age")==0) || (strcmp(model,"age*age")==0)){      if ((strcmp(model,"age")==0) || (strcmp(model,"age*age")==0)){
       printf("Error. Non available option model=%s ",model);        printf("Error. Non available option model=%s ",model);
         fprintf(ficlog,"Error. Non available option model=%s ",model);
       goto end;        goto end;
     }      }
         
     for(i=(j+1); i>=1;i--){      for(i=(j+1); i>=1;i--){
       cutv(stra,strb,modelsav,'+');        cutv(stra,strb,modelsav,'+'); /* keeps in strb after the last + */
       if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav);        if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyze it */
       /*      printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/        /*      printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/
       /*scanf("%d",i);*/        /*scanf("%d",i);*/
       if (strchr(strb,'*')) {        if (strchr(strb,'*')) {  /* Model includes a product */
         cutv(strd,strc,strb,'*');          cutv(strd,strc,strb,'*'); /* strd*strc  Vm*Vn (if not *age)*/
         if (strcmp(strc,"age")==0) {          if (strcmp(strc,"age")==0) { /* Vn*age */
           cptcovprod--;            cptcovprod--;
           cutv(strb,stre,strd,'V');            cutv(strb,stre,strd,'V');
           Tvar[i]=atoi(stre);            Tvar[i]=atoi(stre); /* computes n in Vn and stores in Tvar*/
           cptcovage++;            cptcovage++;
             Tage[cptcovage]=i;              Tage[cptcovage]=i;
             /*printf("stre=%s ", stre);*/              /*printf("stre=%s ", stre);*/
         }          }
         else if (strcmp(strd,"age")==0) {          else if (strcmp(strd,"age")==0) { /* or age*Vn */
           cptcovprod--;            cptcovprod--;
           cutv(strb,stre,strc,'V');            cutv(strb,stre,strc,'V');
           Tvar[i]=atoi(stre);            Tvar[i]=atoi(stre);
           cptcovage++;            cptcovage++;
           Tage[cptcovage]=i;            Tage[cptcovage]=i;
         }          }
         else {          else {  /* Age is not in the model */
           cutv(strb,stre,strc,'V');            cutv(strb,stre,strc,'V'); /* strc= Vn, stre is n*/
           Tvar[i]=ncov+k1;            Tvar[i]=ncovcol+k1;
           cutv(strb,strc,strd,'V');            cutv(strb,strc,strd,'V'); /* strd was Vm, strc is m */
           Tprod[k1]=i;            Tprod[k1]=i;
           Tvard[k1][1]=atoi(strc);            Tvard[k1][1]=atoi(strc); /* m*/
           Tvard[k1][2]=atoi(stre);            Tvard[k1][2]=atoi(stre); /* n */
           Tvar[cptcovn+k2]=Tvard[k1][1];            Tvar[cptcovn+k2]=Tvard[k1][1];
           Tvar[cptcovn+k2+1]=Tvard[k1][2];            Tvar[cptcovn+k2+1]=Tvard[k1][2];
           for (k=1; k<=lastobs;k++)            for (k=1; k<=lastobs;k++)
             covar[ncov+k1][k]=covar[atoi(stre)][k]*covar[atoi(strc)][k];              covar[ncovcol+k1][k]=covar[atoi(stre)][k]*covar[atoi(strc)][k];
           k1++;            k1++;
           k2=k2+2;            k2=k2+2;
         }          }
       }        }
       else {        else { /* no more sum */
         /*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/          /*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/
        /*  scanf("%d",i);*/         /*  scanf("%d",i);*/
       cutv(strd,strc,strb,'V');        cutv(strd,strc,strb,'V');
Line 1961  split(pathtot, path,optionfile); Line 3426  split(pathtot, path,optionfile);
       strcpy(modelsav,stra);          strcpy(modelsav,stra);  
       /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);        /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);
         scanf("%d",i);*/          scanf("%d",i);*/
     }      } /* end of loop + */
 }    } /* end model */
     
   /*printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]);    /* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]);
   printf("cptcovprod=%d ", cptcovprod);    printf("cptcovprod=%d ", cptcovprod);
     fprintf(ficlog,"cptcovprod=%d ", cptcovprod);
   scanf("%d ",i);*/    scanf("%d ",i);*/
     fclose(fic);      fclose(fic);
   
Line 1975  split(pathtot, path,optionfile); Line 3441  split(pathtot, path,optionfile);
     }      }
     /*-calculation of age at interview from date of interview and age at death -*/      /*-calculation of age at interview from date of interview and age at death -*/
     agev=matrix(1,maxwav,1,imx);      agev=matrix(1,maxwav,1,imx);
      
       for (i=1; i<=imx; i++) {
         for(m=2; (m<= maxwav); m++) {
          if ((mint[m][i]== 99) && (s[m][i] <= nlstate)){
            anint[m][i]=9999;
            s[m][i]=-1;
          }
        if(moisdc[i]==99 && andc[i]==9999 & s[m][i]>nlstate) s[m][i]=-1;
         }
       }
   
     for (i=1; i<=imx; i++)  {      for (i=1; i<=imx; i++)  {
       agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);        agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);
       for(m=1; (m<= maxwav); m++){        for(m=1; (m<= maxwav); m++){
         if(s[m][i] >0){          if(s[m][i] >0){
           if (s[m][i] == nlstate+1) {            if (s[m][i] >= nlstate+1) {
             if(agedc[i]>0)              if(agedc[i]>0)
               if(moisdc[i]!=99 && andc[i]!=9999)                if(moisdc[i]!=99 && andc[i]!=9999)
               agev[m][i]=agedc[i];                  agev[m][i]=agedc[i];
             else {              /*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/
              else {
               if (andc[i]!=9999){                if (andc[i]!=9999){
               printf("Warning negative age at death: %d line:%d\n",num[i],i);                printf("Warning negative age at death: %d line:%d\n",num[i],i);
                 fprintf(ficlog,"Warning negative age at death: %d line:%d\n",num[i],i);
               agev[m][i]=-1;                agev[m][i]=-1;
               }                }
             }              }
Line 2019  split(pathtot, path,optionfile); Line 3497  split(pathtot, path,optionfile);
     for (i=1; i<=imx; i++)  {      for (i=1; i<=imx; i++)  {
       for(m=1; (m<= maxwav); m++){        for(m=1; (m<= maxwav); m++){
         if (s[m][i] > (nlstate+ndeath)) {          if (s[m][i] > (nlstate+ndeath)) {
           printf("Error: Wrong value in nlstate or ndeath\n");              printf("Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);  
             fprintf(ficlog,"Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);  
           goto end;            goto end;
         }          }
       }        }
     }      }
   
 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);
   
     free_vector(severity,1,maxwav);      free_vector(severity,1,maxwav);
     free_imatrix(outcome,1,maxwav+1,1,n);      free_imatrix(outcome,1,maxwav+1,1,n);
     free_vector(moisnais,1,n);      free_vector(moisnais,1,n);
     free_vector(annais,1,n);      free_vector(annais,1,n);
     free_matrix(mint,1,maxwav,1,n);      /* free_matrix(mint,1,maxwav,1,n);
     free_matrix(anint,1,maxwav,1,n);         free_matrix(anint,1,maxwav,1,n);*/
     free_vector(moisdc,1,n);      free_vector(moisdc,1,n);
     free_vector(andc,1,n);      free_vector(andc,1,n);
   
Line 2059  printf("Total number of individuals= %d, Line 3539  printf("Total number of individuals= %d,
        for(j=1; j <= ncodemax[k]; j++){         for(j=1; j <= ncodemax[k]; j++){
          for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){           for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){
            h++;             h++;
            if (h>m) h=1;codtab[h][k]=j;             if (h>m) h=1;codtab[h][k]=j;codtab[h][Tvar[k]]=j;
              /*  printf("h=%d k=%d j=%d codtab[h][k]=%d tvar[k]=%d \n",h, k,j,codtab[h][k],Tvar[k]);*/
          }           }
        }         }
      }       }
    }     }
      /* printf("codtab[1][2]=%d codtab[2][2]=%d",codtab[1][2],codtab[2][2]);
         codtab[1][2]=1;codtab[2][2]=2; */
    /*for(i=1; i <=m ;i++){     /* for(i=1; i <=m ;i++){
      for(k=1; k <=cptcovn; k++){        for(k=1; k <=cptcovn; k++){
        printf("i=%d k=%d %d %d",i,k,codtab[i][k], cptcoveff);        printf("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff);
      }        }
      printf("\n");        printf("\n");
    }        }
    scanf("%d",i);*/        scanf("%d",i);*/
         
    /* 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'. */
   freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax);  
   
      
      
     pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */      pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
     oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */      oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
     newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */      newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
     savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */      savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
     oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */      oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */
           
     /* For Powell, parameters are in a vector p[] starting at p[1]      /* For Powell, parameters are in a vector p[] starting at p[1]
        so we point p on param[1][1] so that p[1] maps on param[1][1][1] */         so we point p on param[1][1] so that p[1] maps on param[1][1][1] */
     p=param[1][1]; /* *(*(*(param +1)+1)+0) */      p=param[1][1]; /* *(*(*(param +1)+1)+0) */
Line 2093  printf("Total number of individuals= %d, Line 3575  printf("Total number of individuals= %d,
     }      }
         
     /*--------- results files --------------*/      /*--------- results files --------------*/
     fprintf(ficres,"\ntitle=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncov, nlstate, ndeath, maxwav, mle,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;     jk=1;
    fprintf(ficres,"# Parameters\n");     fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
    printf("# Parameters\n");     printf("# 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(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(ficres,"%f ",p[jk]);               fprintf(ficres,"%f ",p[jk]);
              jk++;               jk++;
            }             }
            printf("\n");             printf("\n");
              fprintf(ficlog,"\n");
            fprintf(ficres,"\n");             fprintf(ficres,"\n");
          }           }
      }       }
    }     }
  if(mle==1){     if(mle==1){
     /* Computing hessian and covariance matrix */       /* Computing hessian and covariance matrix */
     ftolhess=ftol; /* Usually correct */       ftolhess=ftol; /* Usually correct */
     hesscov(matcov, p, npar, delti, ftolhess, func);       hesscov(matcov, p, npar, delti, ftolhess, func);
  }  
     fprintf(ficres,"# Scales\n");  
     printf("# Scales\n");  
      for(i=1,jk=1; i <=nlstate; i++){  
       for(j=1; j <=nlstate+ndeath; j++){  
         if (j!=i) {  
           fprintf(ficres,"%1d%1d",i,j);  
           printf("%1d%1d",i,j);  
           for(k=1; k<=ncovmodel;k++){  
             printf(" %.5e",delti[jk]);  
             fprintf(ficres," %.5e",delti[jk]);  
             jk++;  
           }  
           printf("\n");  
           fprintf(ficres,"\n");  
         }  
       }  
       }  
      
     k=1;  
     fprintf(ficres,"# Covariance\n");  
     printf("# Covariance\n");  
     for(i=1;i<=npar;i++){  
       /*  if (k>nlstate) k=1;  
       i1=(i-1)/(ncovmodel*nlstate)+1;  
       fprintf(ficres,"%s%d%d",alph[k],i1,tab[i]);  
       printf("%s%d%d",alph[k],i1,tab[i]);*/  
       fprintf(ficres,"%3d",i);  
       printf("%3d",i);  
       for(j=1; j<=i;j++){  
         fprintf(ficres," %.5e",matcov[i][j]);  
         printf(" %.5e",matcov[i][j]);  
       }  
       fprintf(ficres,"\n");  
       printf("\n");  
       k++;  
     }  
      
     while((c=getc(ficpar))=='#' && c!= EOF){  
       ungetc(c,ficpar);  
       fgets(line, MAXLINE, ficpar);  
       puts(line);  
       fputs(line,ficparo);  
     }  
     ungetc(c,ficpar);  
    
     fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf\n",&agemin,&agemax, &bage, &fage);  
      
     if (fage <= 2) {  
       bage = agemin;  
       fage = agemax;  
     }  
   
     fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n");  
     fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",agemin,agemax,bage,fage);  
   
      
 /*------------ gnuplot -------------*/  
 chdir(pathcd);  
   if((ficgp=fopen("graph.plt","w"))==NULL) {  
     printf("Problem with file graph.gp");goto end;  
   }  
 #ifdef windows  
   fprintf(ficgp,"cd \"%s\" \n",pathc);  
 #endif  
 m=pow(2,cptcoveff);  
    
  /* 1eme*/  
   for (cpt=1; cpt<= nlstate ; cpt ++) {  
    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",agemin,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",agemin,fage,fileres);  
 #endif  
   
 for (i=1; i<= nlstate ; i ++) {  
   if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");  
   else fprintf(ficgp," \%%*lf (\%%*lf)");  
 }  
     fprintf(ficgp,"\" t\"Stationary prevalence\" w l 0,\"vpl%s\" every :::%d::%d u 1:($2+2*$3) \"\%%lf",fileres,k1-1,k1-1);  
     for (i=1; i<= nlstate ; i ++) {  
   if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");  
   else fprintf(ficgp," \%%*lf (\%%*lf)");  
 }  
   fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"vpl%s\" every :::%d::%d u 1:($2-2*$3) \"\%%lf",fileres,k1-1,k1-1);  
      for (i=1; i<= nlstate ; i ++) {  
   if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");  
   else fprintf(ficgp," \%%*lf (\%%*lf)");  
 }    
      fprintf(ficgp,"\" t\"\" w l 1,\"p%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",fileres,k1-1,k1-1,2+4*(cpt-1));  
 #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(ficres,"# Scales (for hessian or gradient estimation)\n");
   /*2 eme*/     printf("# Scales (for hessian or gradient estimation)\n");
      fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n");
   for (k1=1; k1<= m ; k1 ++) {  
     fprintf(ficgp,"set ylabel \"Years\" \nset ter gif small size 400,300\nplot [%.f:%.f] ",agemin,fage);  
      
     for (i=1; i<= nlstate+1 ; i ++) {  
       k=2*i;  
       fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:2 \"\%%lf",fileres,k1-1,k1-1);  
       for (j=1; j<= nlstate+1 ; j ++) {  
   if (j==i) fprintf(ficgp," \%%lf (\%%lf)");  
   else fprintf(ficgp," \%%*lf (\%%*lf)");  
 }    
       if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,");  
       else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1);  
     fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2-$3*2) \"\%%lf",fileres,k1-1,k1-1);  
       for (j=1; j<= nlstate+1 ; j ++) {  
         if (j==i) fprintf(ficgp," \%%lf (\%%lf)");  
         else fprintf(ficgp," \%%*lf (\%%*lf)");  
 }    
       fprintf(ficgp,"\" t\"\" w l 0,");  
      fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",fileres,k1-1,k1-1);  
       for (j=1; j<= nlstate+1 ; j ++) {  
   if (j==i) fprintf(ficgp," \%%lf (\%%lf)");  
   else fprintf(ficgp," \%%*lf (\%%*lf)");  
 }    
       if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l 0");  
       else fprintf(ficgp,"\" t\"\" w l 0,");  
     }  
     fprintf(ficgp,"\nset out \"e%s%d.gif\" \nreplot\n\n",strtok(optionfile, "."),k1);  
   }  
    
   /*3eme*/  
   
   for (k1=1; k1<= m ; k1 ++) {  
     for (cpt=1; cpt<= nlstate ; cpt ++) {  
       k=2+nlstate*(cpt-1);  
       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",agemin,fage,fileres,k1-1,k1-1,k,cpt);  
       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,"\nset out \"exp%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1);  
     }  
   }  
    
   /* CV preval stat */  
   for (k1=1; k1<= m ; k1 ++) {  
     for (cpt=1; cpt<nlstate ; cpt ++) {  
       k=3;  
       fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter gif small size 400,300\nplot [%.f:%.f] \"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",agemin,agemax,fileres,k1,k+cpt+1,k+1);  
       for (i=1; i< nlstate ; i ++)  
         fprintf(ficgp,"+$%d",k+i+1);  
       fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);  
        
       l=3+(nlstate+ndeath)*cpt;  
       fprintf(ficgp,",\"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",fileres,k1,l+cpt+1,l+1);  
       for (i=1; i< nlstate ; i ++) {  
         l=3+(nlstate+ndeath)*cpt;  
         fprintf(ficgp,"+$%d",l+i+1);  
       }  
       fprintf(ficgp,")) t\"prev(%d,%d)\" w l\n",cpt+1,cpt+1);    
       fprintf(ficgp,"set out \"p%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1);  
     }  
   }  
   
   /* proba elementaires */  
    for(i=1,jk=1; i <=nlstate; i++){     for(i=1,jk=1; i <=nlstate; i++){
     for(k=1; k <=(nlstate+ndeath); k++){       for(j=1; j <=nlstate+ndeath; j++){
       if (k != i) {         if (j!=i) {
         for(j=1; j <=ncovmodel; j++){           fprintf(ficres,"%1d%1d",i,j);
           /*fprintf(ficgp,"%s%1d%1d=%f ",alph[j],i,k,p[jk]);*/           printf("%1d%1d",i,j);
           /*fprintf(ficgp,"%s",alph[1]);*/           fprintf(ficlog,"%1d%1d",i,j);
           fprintf(ficgp,"p%d=%f ",jk,p[jk]);           for(k=1; k<=ncovmodel;k++){
           jk++;             printf(" %.5e",delti[jk]);
           fprintf(ficgp,"\n");             fprintf(ficlog," %.5e",delti[jk]);
         }             fprintf(ficres," %.5e",delti[jk]);
       }             jk++;
     }           }
     }           printf("\n");
            fprintf(ficlog,"\n");
   for(jk=1; jk <=m; jk++) {           fprintf(ficres,"\n");
   fprintf(ficgp,"\nset ter gif small size 400,300\nset log y\nplot  [%.f:%.f] ",agemin,agemax);  
    i=1;  
    for(k2=1; k2<=nlstate; k2++) {  
      k3=i;  
      for(k=1; k<=(nlstate+ndeath); k++) {  
        if (k != k2){  
         fprintf(ficgp," exp(p%d+p%d*x",i,i+1);  
 ij=1;  
         for(j=3; j <=ncovmodel; j++) {  
           if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {  
             fprintf(ficgp,"+p%d*%d*x",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);  
             ij++;  
           }  
           else  
           fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);  
         }  
           fprintf(ficgp,")/(1");  
          
         for(k1=1; k1 <=nlstate; k1++){    
           fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1);  
 ij=1;  
           for(j=3; j <=ncovmodel; j++){  
           if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {  
             fprintf(ficgp,"+p%d*%d*x",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);  
             ij++;  
           }  
           else  
             fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);  
           }  
           fprintf(ficgp,")");  
         }  
         fprintf(ficgp,") t \"p%d%d\" ", k2,k);  
         if ((k+k2)!= (nlstate*2+ndeath)) fprintf(ficgp,",");  
         i=i+ncovmodel;  
        }         }
      }       }
    }     }
    fprintf(ficgp,"\nset out \"pe%s%d.gif\" \nreplot\n\n",strtok(optionfile, "."),jk);  
   }  
         
   fclose(ficgp);     k=1;
      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)
        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");
      for(i=1;i<=npar;i++){
        /*  if (k>nlstate) k=1;
            i1=(i-1)/(ncovmodel*nlstate)+1;
            fprintf(ficres,"%s%d%d",alph[k],i1,tab[i]);
            printf("%s%d%d",alph[k],i1,tab[i]);*/
        fprintf(ficres,"%3d",i);
        if(mle==1)
          printf("%3d",i);
        fprintf(ficlog,"%3d",i);
        for(j=1; j<=i;j++){
          fprintf(ficres," %.5e",matcov[i][j]);
          if(mle==1)
            printf(" %.5e",matcov[i][j]);
          fprintf(ficlog," %.5e",matcov[i][j]);
        }
        fprintf(ficres,"\n");
        if(mle==1)
          printf("\n");
        fprintf(ficlog,"\n");
        k++;
      }
         
 chdir(path);     while((c=getc(ficpar))=='#' && c!= EOF){
     free_matrix(agev,1,maxwav,1,imx);       ungetc(c,ficpar);
     free_ivector(wav,1,imx);       fgets(line, MAXLINE, ficpar);
     free_imatrix(dh,1,lastpass-firstpass+1,1,imx);       puts(line);
     free_imatrix(mw,1,lastpass-firstpass+1,1,imx);       fputs(line,ficparo);
         }
     free_imatrix(s,1,maxwav+1,1,n);     ungetc(c,ficpar);
         estepm=0;
         fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm);
     free_ivector(num,1,n);     if (estepm==0 || estepm < stepm) estepm=stepm;
     free_vector(agedc,1,n);     if (fage <= 2) {
     free_vector(weight,1,n);       bage = ageminpar;
     /*free_matrix(covar,1,NCOVMAX,1,n);*/       fage = agemaxpar;
     fclose(ficparo);     }
     fclose(ficres);  
     /*  }*/  
         
    /*________fin mle=1_________*/     fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n");
      fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);
      fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);
         
      while((c=getc(ficpar))=='#' && c!= EOF){
        ungetc(c,ficpar);
        fgets(line, MAXLINE, ficpar);
        puts(line);
        fputs(line,ficparo);
      }
      ungetc(c,ficpar);
    
      fscanf(ficpar,"begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf\n",&jprev1, &mprev1,&anprev1,&jprev2, &mprev2,&anprev2);
      fprintf(ficparo,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);
      fprintf(ficres,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);
      
      while((c=getc(ficpar))=='#' && c!= EOF){
        ungetc(c,ficpar);
        fgets(line, MAXLINE, ficpar);
        puts(line);
        fputs(line,ficparo);
      }
      ungetc(c,ficpar);
    
   
      dateprev1=anprev1+mprev1/12.+jprev1/365.;
      dateprev2=anprev2+mprev2/12.+jprev2/365.;
   
     fscanf(ficpar,"pop_based=%d\n",&popbased);
     fprintf(ficparo,"pop_based=%d\n",popbased);  
     fprintf(ficres,"pop_based=%d\n",popbased);  
     
     /* No more information from the sample is required now */  
   /* Reads comments: lines beginning with '#' */  
   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 2369  chdir(path); Line 3709  chdir(path);
     fputs(line,ficparo);      fputs(line,ficparo);
   }    }
   ungetc(c,ficpar);    ungetc(c,ficpar);
    
   fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf\n",&agemin,&agemax, &bage, &fage);    fscanf(ficpar,"starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mov_average=%d\n",&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilav);
   printf("agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",agemin,agemax, bage, fage);  fprintf(ficparo,"starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mov_average=%d\n",jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilav);
   fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",agemin,agemax,bage,fage);  fprintf(ficres,"starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mov_average=%d\n",jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilav);
   
   
   while((c=getc(ficpar))=='#' && c!= EOF){
       ungetc(c,ficpar);
       fgets(line, MAXLINE, ficpar);
       puts(line);
       fputs(line,ficparo);
     }
     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);
     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);
   
    freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);
   
   /*------------ gnuplot -------------*/
     strcpy(optionfilegnuplot,optionfilefiname);
     strcat(optionfilegnuplot,".gp");
     if((ficgp=fopen(optionfilegnuplot,"w"))==NULL) {
       printf("Problem with file %s",optionfilegnuplot);
     }
     fclose(ficgp);
    printinggnuplot(fileres, ageminpar,agemaxpar,fage, pathc,p);
 /*--------- index.htm --------*/  /*--------- index.htm --------*/
   
   strcpy(optionfilehtm,optionfile);    strcpy(optionfilehtm,optionfile);
   strcat(optionfilehtm,".htm");    strcat(optionfilehtm,".htm");
   if((fichtm=fopen(optionfilehtm,"w"))==NULL)    {    if((fichtm=fopen(optionfilehtm,"w"))==NULL)    {
     printf("Problem with %s \n",optionfilehtm);goto end;      printf("Problem with %s \n",optionfilehtm), exit(0);
   }    }
   
  fprintf(fichtm,"<body><ul> <font size=\"6\">Imach, Version 0.64b </font> <hr size=\"2\" color=\"#EC5E5E\">    fprintf(fichtm,"<body> <font size=\"2\">%s </font> <hr size=\"2\" color=\"#EC5E5E\"> \n
 Titre=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>  Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n
 Total number of observations=%d <br>  \n
 Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>  Total number of observations=%d <br>\n
 <hr  size=\"2\" color=\"#EC5E5E\">  Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n
 <li>Outputs files<br><br>\n  <hr  size=\"2\" color=\"#EC5E5E\">
         - Observed prevalence in each state: <a href=\"p%s\">p%s</a> <br>\n   <ul><li><h4>Parameter files</h4>\n
 - Estimated parameters and the covariance matrix: <a href=\"%s\">%s</a> <br>   - Copy of the parameter file: <a href=\"o%s\">o%s</a><br>\n
         - Stationary prevalence in each state: <a href=\"pl%s\">pl%s</a> <br>   - Log file of the run: <a href=\"%s\">%s</a><br>\n
         - Transition probabilities: <a href=\"pij%s\">pij%s</a><br>   - Gnuplot file name: <a href=\"%s\">%s</a></ul>\n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,filelog,filelog,optionfilegnuplot,optionfilegnuplot);
         - Copy of the parameter file: <a href=\"o%s\">o%s</a><br>    fclose(fichtm);
         - Life expectancies by age and initial health status: <a href=\"e%s\">e%s</a> <br>  
         - Variances of life expectancies by age and initial health status: <a href=\"v%s\">v%s</a><br>  
         - Health expectancies with their variances: <a href=\"t%s\">t%s</a> <br>  
         - Standard deviation of stationary prevalences: <a href=\"vpl%s\">vpl%s</a> <br><br>",title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres);  
   
  fprintf(fichtm," <li>Graphs</li><p>");  
   
  m=cptcoveff;   printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,model,imx,jmin,jmax,jmean,rfileres,popforecast,estepm,jprev1,mprev1,anprev1,jprev2,mprev2,anprev2);
  if (cptcovn < 1) {m=1;ncodemax[1]=1;}   
   /*------------ free_vector  -------------*/
    chdir(path);
    
    free_ivector(wav,1,imx);
    free_imatrix(dh,1,lastpass-firstpass+1,1,imx);
    free_imatrix(mw,1,lastpass-firstpass+1,1,imx);  
    free_ivector(num,1,n);
    free_vector(agedc,1,n);
    /*free_matrix(covar,1,NCOVMAX,1,n);*/
    fclose(ficparo);
    fclose(ficres);
   
  j1=0;  
  for(k1=1; k1<=m;k1++){  
    for(i1=1; i1<=ncodemax[k1];i1++){  
        j1++;  
        if (cptcovn > 0) {  
          fprintf(fichtm,"<hr  size=\"2\" color=\"#EC5E5E\">************ Results for covariates");  
          for (cpt=1; cpt<=cptcoveff;cpt++)  
            fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[j1][cpt]]);  
          fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");  
        }  
        fprintf(fichtm,"<br>- Probabilities: pe%s%d.gif<br>  
 <img src=\"pe%s%d.gif\">",strtok(optionfile, "."),j1,strtok(optionfile, "."),j1);      
        for(cpt=1; cpt<nlstate;cpt++){  
          fprintf(fichtm,"<br>- Prevalence of disability : p%s%d%d.gif<br>  
 <img src=\"p%s%d%d.gif\">",strtok(optionfile, "."),cpt,j1,strtok(optionfile, "."),cpt,j1);  
        }  
     for(cpt=1; cpt<=nlstate;cpt++) {  
        fprintf(fichtm,"<br>- Observed and stationary prevalence (with confident  
 interval) in state (%d): v%s%d%d.gif <br>  
 <img src=\"v%s%d%d.gif\">",cpt,strtok(optionfile, "."),cpt,j1,strtok(optionfile, "."),cpt,j1);    
      }  
      for(cpt=1; cpt<=nlstate;cpt++) {  
         fprintf(fichtm,"\n<br>- Health life expectancies by age and initial health state (%d): exp%s%d%d.gif <br>  
 <img src=\"exp%s%d%d.gif\">",cpt,strtok(optionfile, "."),cpt,j1,strtok(optionfile, "."),cpt,j1);  
      }  
      fprintf(fichtm,"\n<br>- Total life expectancy by age and  
 health expectancies in states (1) and (2): e%s%d.gif<br>  
 <img src=\"e%s%d.gif\">",strtok(optionfile, "."),j1,strtok(optionfile, "."),j1);  
 fprintf(fichtm,"\n</body>");  
    }  
  }  
 fclose(fichtm);  
   
   /*--------------- Prevalence limit --------------*/    /*--------------- Prevalence limit --------------*/
     
Line 2441  fclose(fichtm); Line 3778  fclose(fichtm);
   strcat(filerespl,fileres);    strcat(filerespl,fileres);
   if((ficrespl=fopen(filerespl,"w"))==NULL) {    if((ficrespl=fopen(filerespl,"w"))==NULL) {
     printf("Problem with Prev limit resultfile: %s\n", filerespl);goto end;      printf("Problem with Prev limit resultfile: %s\n", filerespl);goto end;
       fprintf(ficlog,"Problem with Prev limit resultfile: %s\n", filerespl);goto end;
   }    }
   printf("Computing prevalence limit: result on file '%s' \n", filerespl);    printf("Computing prevalence limit: result on file '%s' \n", filerespl);
     fprintf(ficlog,"Computing prevalence limit: result on file '%s' \n", filerespl);
   fprintf(ficrespl,"#Prevalence limit\n");    fprintf(ficrespl,"#Prevalence limit\n");
   fprintf(ficrespl,"#Age ");    fprintf(ficrespl,"#Age ");
   for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);    for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);
Line 2455  fclose(fichtm); Line 3794  fclose(fichtm);
   savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */    savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
   oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */    oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */
   k=0;    k=0;
   agebase=agemin;    agebase=ageminpar;
   agelim=agemax;    agelim=agemaxpar;
   ftolpl=1.e-10;    ftolpl=1.e-10;
   i1=cptcoveff;    i1=cptcoveff;
   if (cptcovn < 1){i1=1;}    if (cptcovn < 1){i1=1;}
Line 2466  fclose(fichtm); Line 3805  fclose(fichtm);
         k=k+1;          k=k+1;
         /*printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,Tcode[cptcode],codtab[cptcod][cptcov]);*/          /*printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,Tcode[cptcode],codtab[cptcod][cptcov]);*/
         fprintf(ficrespl,"\n#******");          fprintf(ficrespl,"\n#******");
         for(j=1;j<=cptcoveff;j++)          printf("\n#******");
           fprintf(ficlog,"\n#******");
           for(j=1;j<=cptcoveff;j++) {
           fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);            fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
             printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
             fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
           }
         fprintf(ficrespl,"******\n");          fprintf(ficrespl,"******\n");
           printf("******\n");
           fprintf(ficlog,"******\n");
                 
         for (age=agebase; age<=agelim; age++){          for (age=agebase; age<=agelim; age++){
           prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);            prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
Line 2480  fclose(fichtm); Line 3826  fclose(fichtm);
       }        }
     }      }
   fclose(ficrespl);    fclose(ficrespl);
   
   /*------------- h Pij x at various ages ------------*/    /*------------- h Pij x at various ages ------------*/
     
   strcpy(filerespij,"pij");  strcat(filerespij,fileres);    strcpy(filerespij,"pij");  strcat(filerespij,fileres);
   if((ficrespij=fopen(filerespij,"w"))==NULL) {    if((ficrespij=fopen(filerespij,"w"))==NULL) {
     printf("Problem with Pij resultfile: %s\n", filerespij);goto end;      printf("Problem with Pij resultfile: %s\n", filerespij);goto end;
       fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij);goto end;
   }    }
   printf("Computing pij: result on file '%s' \n", filerespij);    printf("Computing pij: result on file '%s' \n", filerespij);
     fprintf(ficlog,"Computing pij: result on file '%s' \n", filerespij);
     
   stepsize=(int) (stepm+YEARM-1)/YEARM;    stepsize=(int) (stepm+YEARM-1)/YEARM;
   if (stepm<=24) stepsize=2;    /*if (stepm<=24) stepsize=2;*/
   
   agelim=AGESUP;    agelim=AGESUP;
   hstepm=stepsize*YEARM; /* Every year of age */    hstepm=stepsize*YEARM; /* Every year of age */
   hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */    hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */
    
     /* hstepm=1;   aff par mois*/
   
   k=0;    k=0;
   for(cptcov=1;cptcov<=i1;cptcov++){    for(cptcov=1;cptcov<=i1;cptcov++){
     for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){      for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
Line 2507  fclose(fichtm); Line 3858  fclose(fichtm);
         for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */          for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */
           nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */            nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */
           nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */            nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
   
             /*      nhstepm=nhstepm*YEARM; aff par mois*/
   
           p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);            p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
           oldm=oldms;savm=savms;            oldm=oldms;savm=savms;
           hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);              hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
Line 2515  fclose(fichtm); Line 3869  fclose(fichtm);
             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 %f %f",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(optionfilefiname, matcov, p, delti, nlstate, (int) bage, (int) fage,k,Tvar,nbcode, ncodemax);
   
   fclose(ficrespij);    fclose(ficrespij);
   
   
     /*---------- Forecasting ------------------*/
     if((stepm == 1) && (strcmp(model,".")==0)){
       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);
     }
     else{
       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);
       fprintf(ficlog,"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);
     }
    
   
   /*---------- Health expectancies and variances ------------*/    /*---------- Health expectancies and variances ------------*/
   
   strcpy(filerest,"t");    strcpy(filerest,"t");
   strcat(filerest,fileres);    strcat(filerest,fileres);
   if((ficrest=fopen(filerest,"w"))==NULL) {    if((ficrest=fopen(filerest,"w"))==NULL) {
     printf("Problem with total LE resultfile: %s\n", filerest);goto end;      printf("Problem with total LE resultfile: %s\n", filerest);goto end;
       fprintf(ficlog,"Problem with total LE resultfile: %s\n", filerest);goto end;
   }    }
   printf("Computing Total LEs with variances: file '%s' \n", filerest);    printf("Computing Total LEs with variances: file '%s' \n", filerest);
     fprintf(ficlog,"Computing Total LEs with variances: file '%s' \n", filerest);
   
   
   strcpy(filerese,"e");    strcpy(filerese,"e");
   strcat(filerese,fileres);    strcat(filerese,fileres);
   if((ficreseij=fopen(filerese,"w"))==NULL) {    if((ficreseij=fopen(filerese,"w"))==NULL) {
     printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);      printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
       fprintf(ficlog,"Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
   }    }
   printf("Computing Health Expectancies: result on file '%s' \n", filerese);    printf("Computing Health Expectancies: result on file '%s' \n", filerese);
     fprintf(ficlog,"Computing Health Expectancies: result on file '%s' \n", filerese);
   
  strcpy(fileresv,"v");    strcpy(fileresv,"v");
   strcat(fileresv,fileres);    strcat(fileresv,fileres);
   if((ficresvij=fopen(fileresv,"w"))==NULL) {    if((ficresvij=fopen(fileresv,"w"))==NULL) {
     printf("Problem with variance resultfile: %s\n", fileresv);exit(0);      printf("Problem with variance resultfile: %s\n", fileresv);exit(0);
       fprintf(ficlog,"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);
     fprintf(ficlog,"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++){
     for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){      for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
       k=k+1;        k=k+1;
       fprintf(ficrest,"\n#****** ");        fprintf(ficrest,"\n#****** ");
       for(j=1;j<=cptcoveff;j++)        for(j=1;j<=cptcoveff;j++)
         fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);          fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
Line 2565  fclose(fichtm); Line 3942  fclose(fichtm);
   
       fprintf(ficreseij,"\n#****** ");        fprintf(ficreseij,"\n#****** ");
       for(j=1;j<=cptcoveff;j++)        for(j=1;j<=cptcoveff;j++)
         fprintf(ficreseij,"V%d=%d ",j,nbcode[j][codtab[k][j]]);          fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
       fprintf(ficreseij,"******\n");        fprintf(ficreseij,"******\n");
   
       fprintf(ficresvij,"\n#****** ");        fprintf(ficresvij,"\n#****** ");
       for(j=1;j<=cptcoveff;j++)        for(j=1;j<=cptcoveff;j++)
         fprintf(ficresvij,"V%d=%d ",j,nbcode[j][codtab[k][j]]);          fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
       fprintf(ficresvij,"******\n");        fprintf(ficresvij,"******\n");
   
       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);          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);        varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,0);
              if(popbased==1){
           varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,popbased);
          }
   
    
       fprintf(ficrest,"#Total LEs with variances: e.. (std) ");        fprintf(ficrest,"#Total LEs with variances: e.. (std) ");
       for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);        for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);
       fprintf(ficrest,"\n");        fprintf(ficrest,"\n");
          
       hf=1;  
       if (stepm >= YEARM) hf=stepm/YEARM;  
       epj=vector(1,nlstate+1);        epj=vector(1,nlstate+1);
       for(age=bage; age <=fage ;age++){        for(age=bage; age <=fage ;age++){
         prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);          prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
         fprintf(ficrest," %.0f",age);          if (popbased==1) {
             for(i=1; i<=nlstate;i++)
               prlim[i][i]=probs[(int)age][i][k];
           }
          
           fprintf(ficrest," %4.0f",age);
         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]*hf*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," %.2f (%.2f)", epj[nlstate+1],hf*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," %.2f (%.2f)", epj[j],hf*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);
  fclose(ficreseij);      free_matrix(anint,1,maxwav,1,n); free_imatrix(s,1,maxwav+1,1,n);
  fclose(ficresvij);      free_vector(weight,1,n);
     fclose(ficreseij);
     fclose(ficresvij);
   fclose(ficrest);    fclose(ficrest);
   fclose(ficpar);    fclose(ficpar);
   free_vector(epj,1,nlstate+1);    free_vector(epj,1,nlstate+1);
   /*  scanf("%d ",i); */   
   
   /*------- Variance limit prevalence------*/      /*------- Variance limit prevalence------*/  
   
 strcpy(fileresvpl,"vpl");    strcpy(fileresvpl,"vpl");
   strcat(fileresvpl,fileres);    strcat(fileresvpl,fileres);
   if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {    if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {
     printf("Problem with variance prev lim resultfile: %s\n", fileresvpl);      printf("Problem with variance prev lim resultfile: %s\n", fileresvpl);
Line 2625  strcpy(fileresvpl,"vpl"); Line 4013  strcpy(fileresvpl,"vpl");
   }    }
   printf("Computing Variance-covariance of Prevalence limit: file '%s' \n", fileresvpl);    printf("Computing Variance-covariance of Prevalence limit: file '%s' \n", fileresvpl);
   
  k=0;    k=0;
  for(cptcov=1;cptcov<=i1;cptcov++){    for(cptcov=1;cptcov<=i1;cptcov++){
    for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){      for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
      k=k+1;        k=k+1;
      fprintf(ficresvpl,"\n#****** ");        fprintf(ficresvpl,"\n#****** ");
      for(j=1;j<=cptcoveff;j++)        for(j=1;j<=cptcoveff;j++)
        fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);          fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
      fprintf(ficresvpl,"******\n");        fprintf(ficresvpl,"******\n");
             
      varpl=matrix(1,nlstate,(int) bage, (int) fage);        varpl=matrix(1,nlstate,(int) bage, (int) fage);
      oldm=oldms;savm=savms;        oldm=oldms;savm=savms;
      varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k);       varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k);
    }      }
  }   }
   
   fclose(ficresvpl);    fclose(ficresvpl);
Line 2653  strcpy(fileresvpl,"vpl"); Line 4041  strcpy(fileresvpl,"vpl");
   free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);    free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);
   free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);    free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);
   free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);    free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);
     
   free_matrix(matcov,1,npar,1,npar);    free_matrix(matcov,1,npar,1,npar);
   free_vector(delti,1,npar);    free_vector(delti,1,npar);
      free_matrix(agev,1,maxwav,1,imx);
   free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);    free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
   
   printf("End of Imach\n");    fprintf(fichtm,"\n</body>");
     fclose(fichtm);
     fclose(ficgp);
    
   
     if(erreur >0){
       printf("End of Imach with error or warning %d\n",erreur);
       fprintf(ficlog,"End of Imach with error or warning %d\n",erreur);
     }else{
      printf("End of Imach\n");
      fprintf(ficlog,"End of Imach\n");
     }
     printf("See log file on %s\n",filelog);
     fclose(ficlog);
   /*  gettimeofday(&end_time, (struct timezone*)0);*/  /* after time */    /*  gettimeofday(&end_time, (struct timezone*)0);*/  /* after time */
     
   /* printf("Total time was %d Sec. %d uSec.\n", end_time.tv_sec -start_time.tv_sec, end_time.tv_usec -start_time.tv_usec);*/    /* printf("Total time was %d Sec. %d uSec.\n", end_time.tv_sec -start_time.tv_sec, end_time.tv_usec -start_time.tv_usec);*/
   /*printf("Total time was %d uSec.\n", total_usecs);*/    /*printf("Total time was %d uSec.\n", total_usecs);*/
   /*------ End -----------*/    /*------ End -----------*/
   
   
  end:   end:
 #ifdef windows  #ifdef windows
  chdir(pathcd);    /* chdir(pathcd);*/
 #endif  #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");*/
  system("..\\gp37mgw\\wgnuplot graph.plt");   /* system("..\\gp37mgw\\wgnuplot graph.plt");*/
    strcpy(plotcmd,GNUPLOTPROGRAM);
    strcat(plotcmd," ");
    strcat(plotcmd,optionfilegnuplot);
    system(plotcmd);
   
 #ifdef windows  #ifdef windows
   while (z[0] != 'q') {    while (z[0] != 'q') {
     chdir(pathcd);      /* chdir(path); */
     printf("\nType e to edit output files, 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: ");
     scanf("%s",z);      scanf("%s",z);
     if (z[0] == 'c') system("./imach");      if (z[0] == 'c') system("./imach");
     else if (z[0] == 'e') {      else if (z[0] == 'e') system(optionfilehtm);
       chdir(path);      else if (z[0] == 'g') system(plotcmd);
       system(optionfilehtm);  
     }  
     else if (z[0] == 'q') exit(0);      else if (z[0] == 'q') exit(0);
   }    }
 #endif  #endif

Removed from v.1.11  
changed lines
  Added in v.1.51


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