Diff for /imach/src/imach.c between versions 1.133 and 1.147

version 1.133, 2009/07/06 10:21:25 version 1.147, 2014/06/16 10:33:11
Line 1 Line 1
 /* $Id$  /* $Id$
   $State$    $State$
   $Log$    $Log$
     Revision 1.147  2014/06/16 10:33:11  brouard
     *** empty log message ***
   
     Revision 1.146  2014/06/16 10:20:28  brouard
     Summary: Merge
     Author: Brouard
   
     Merge, before building revised version.
   
     Revision 1.145  2014/06/10 21:23:15  brouard
     Summary: Debugging with valgrind
     Author: Nicolas Brouard
   
     Lot of changes in order to output the results with some covariates
     After the Edimburgh REVES conference 2014, it seems mandatory to
     improve the code.
     No more memory valgrind error but a lot has to be done in order to
     continue the work of splitting the code into subroutines.
     Also, decodemodel has been improved. Tricode is still not
     optimal. nbcode should be improved. Documentation has been added in
     the source code.
   
     Revision 1.143  2014/01/26 09:45:38  brouard
     Summary: Version 0.98nR (to be improved, but gives same optimization results as 0.98k. Nice, promising
   
     * imach.c (Module): Trying to merge old staffs together while being at Tokyo. Not tested...
     (Module): Version 0.98nR Running ok, but output format still only works for three covariates.
   
     Revision 1.142  2014/01/26 03:57:36  brouard
     Summary: gnuplot changed plot w l 1 has to be changed to plot w l lt 2
   
     * imach.c (Module): Trying to merge old staffs together while being at Tokyo. Not tested...
   
     Revision 1.141  2014/01/26 02:42:01  brouard
     * imach.c (Module): Trying to merge old staffs together while being at Tokyo. Not tested...
   
     Revision 1.140  2011/09/02 10:37:54  brouard
     Summary: times.h is ok with mingw32 now.
   
     Revision 1.139  2010/06/14 07:50:17  brouard
     After the theft of my laptop, I probably lost some lines of codes which were not uploaded to the CVS tree.
     I remember having already fixed agemin agemax which are pointers now but not cvs saved.
   
     Revision 1.138  2010/04/30 18:19:40  brouard
     *** empty log message ***
   
     Revision 1.137  2010/04/29 18:11:38  brouard
     (Module): Checking covariates for more complex models
     than V1+V2. A lot of change to be done. Unstable.
   
     Revision 1.136  2010/04/26 20:30:53  brouard
     (Module): merging some libgsl code. Fixing computation
     of likelione (using inter/intrapolation if mle = 0) in order to
     get same likelihood as if mle=1.
     Some cleaning of code and comments added.
   
     Revision 1.135  2009/10/29 15:33:14  brouard
     (Module): Now imach stops if date of birth, at least year of birth, is not given. Some cleaning of the code.
   
     Revision 1.134  2009/10/29 13:18:53  brouard
     (Module): Now imach stops if date of birth, at least year of birth, is not given. Some cleaning of the code.
   
   Revision 1.133  2009/07/06 10:21:25  brouard    Revision 1.133  2009/07/06 10:21:25  brouard
   just nforces    just nforces
   
Line 334 Line 396
       begin-prev-date,...        begin-prev-date,...
   open gnuplot file    open gnuplot file
   open html file    open html file
   period (stable) prevalence    period (stable) prevalence      | pl_nom    1-1 2-2 etc by covariate
    for age prevalim()     for age prevalim()             | #****** V1=0  V2=1  V3=1  V4=0 ******
   h Pij x                                    | 65 1 0 2 1 3 1 4 0  0.96326 0.03674
   variance of p varprob      freexexit2 possible for memory heap.
   
     h Pij x                         | pij_nom  ficrestpij
      # Cov Agex agex+h hpijx with i,j= 1-1 1-2     1-3     2-1     2-2     2-3
          1  85   85    1.00000             0.00000 0.00000 0.00000 1.00000 0.00000
          1  85   86    0.68299             0.22291 0.09410 0.71093 0.00000 0.28907
   
          1  65   99    0.00364             0.00322 0.99314 0.00350 0.00310 0.99340
          1  65  100    0.00214             0.00204 0.99581 0.00206 0.00196 0.99597
     variance of p one-step probabilities varprob  | prob_nom   ficresprob #One-step probabilities and stand. devi in ()
      Standard deviation of one-step probabilities | probcor_nom   ficresprobcor #One-step probabilities and correlation matrix
      Matrix of variance covariance of one-step probabilities |  probcov_nom ficresprobcov #One-step probabilities and covariance matrix
   
   forecasting if prevfcast==1 prevforecast call prevalence()    forecasting if prevfcast==1 prevforecast call prevalence()
   health expectancies    health expectancies
   Variance-covariance of DFLE    Variance-covariance of DFLE
Line 365 Line 439
 #include <errno.h>  #include <errno.h>
 extern int errno;  extern int errno;
   
 /* #include <sys/time.h> */  #ifdef LINUX
 #include <time.h>  #include <time.h>
 #include "timeval.h"  #include "timeval.h"
   #else
   #include <sys/time.h>
   #endif
   
   #ifdef GSL
   #include <gsl/gsl_errno.h>
   #include <gsl/gsl_multimin.h>
   #endif
   
 /* #include <libintl.h> */  /* #include <libintl.h> */
 /* #define _(String) gettext (String) */  /* #define _(String) gettext (String) */
   
 #define MAXLINE 256  #define MAXLINE 1024 /* Was 256. Overflow with 312 with 2 states and 4 covariates. Should be ok */
   
 #define GNUPLOTPROGRAM "gnuplot"  #define GNUPLOTPROGRAM "gnuplot"
 /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/  /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/
Line 381  extern int errno; Line 463  extern int errno;
 #define GLOCK_ERROR_NOPATH              -1      /* empty path */  #define GLOCK_ERROR_NOPATH              -1      /* empty path */
 #define GLOCK_ERROR_GETCWD              -2      /* cannot get cwd */  #define GLOCK_ERROR_GETCWD              -2      /* cannot get cwd */
   
 #define MAXPARM 128 /* Maximum number of parameters for the optimization */  #define MAXPARM 128 /**< Maximum number of parameters for the optimization */
 #define NPARMAX 64 /* (nlstate+ndeath-1)*nlstate*ncovmodel */  #define NPARMAX 64 /**< (nlstate+ndeath-1)*nlstate*ncovmodel */
   
 #define NINTERVMAX 8  #define NINTERVMAX 8
 #define NLSTATEMAX 8 /* Maximum number of live states (for func) */  #define NLSTATEMAX 8 /**< Maximum number of live states (for func) */
 #define NDEATHMAX 8 /* Maximum number of dead states (for func) */  #define NDEATHMAX 8 /**< Maximum number of dead states (for func) */
 #define NCOVMAX 20 /* Maximum number of covariates */  #define NCOVMAX 20 /**< Maximum number of covariates, including generated covariates V1*V2 */
   #define codtabm(h,k)  1 & (h-1) >> (k-1) ;
 #define MAXN 20000  #define MAXN 20000
 #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
 #define AGEGOMP 10. /* Minimal age for Gompertz adjustment */  #define AGEGOMP 10. /**< Minimal age for Gompertz adjustment */
 #ifdef UNIX  #ifdef UNIX
 #define DIRSEPARATOR '/'  #define DIRSEPARATOR '/'
 #define CHARSEPARATOR "/"  #define CHARSEPARATOR "/"
Line 406  extern int errno; Line 489  extern int errno;
 /* $Id$ */  /* $Id$ */
 /* $State$ */  /* $State$ */
   
 char version[]="Imach version 0.98k, June 2009, INED-EUROREVES-Institut de longevite ";  char version[]="Imach version 0.98nR2, January 2014,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121)";
 char fullversion[]="$Revision$ $Date$";   char fullversion[]="$Revision$ $Date$"; 
 char strstart[80];  char strstart[80];
 char optionfilext[10], optionfilefiname[FILENAMELENGTH];  char optionfilext[10], optionfilefiname[FILENAMELENGTH];
 int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings  */  int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings  */
 int nvar=0, nforce=0; /* Number of variables, number of forces */  int nvar=0, nforce=0; /* Number of variables, number of forces */
 int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov=0; /* Number of covariates, of covariates with '*age' */  /* Number of covariates model=V2+V1+ V3*age+V2*V4 */
   int cptcovn=0; /**< cptcovn number of covariates added in the model (excepting constant and age and age*product) */
   int cptcovt=0; /**< cptcovt number of covariates added in the model (excepting constant and age) */
   int cptcovs=0; /**< cptcovs number of simple covariates V2+V1 =2 */
   int cptcovage=0; /**< Number of covariates with age: V3*age only =1 */
   int cptcovprodnoage=0; /**< Number of covariate products without age */   
   int cptcoveff=0; /* Total number of covariates to vary for printing results */
   int cptcov=0; /* Working variable */
 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 */
Line 431  int **dh; /* dh[mi][i] is number of step Line 521  int **dh; /* dh[mi][i] is number of step
 int **bh; /* bh[mi][i] is the bias (+ or -) for this individual if the delay between  int **bh; /* bh[mi][i] is the bias (+ or -) for this individual if the delay between
            * wave mi and wave mi+1 is not an exact multiple of stepm. */             * wave mi and wave mi+1 is not an exact multiple of stepm. */
 double jmean=1; /* Mean space between 2 waves */  double jmean=1; /* Mean space between 2 waves */
   double **matprod2(); /* test */
 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, *ficresp, *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop;  /*FILE *fic ; */ /* Used in readdata only */
   FILE *ficpar, *ficparo,*ficres, *ficresp, *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop;
 FILE *ficlog, *ficrespow;  FILE *ficlog, *ficrespow;
 int globpr=0; /* Global variable for printing or not */  int globpr=0; /* Global variable for printing or not */
 double fretone; /* Only one call to likelihood */  double fretone; /* Only one call to likelihood */
Line 529  double dateintmean=0; Line 621  double dateintmean=0;
   
 double *weight;  double *weight;
 int **s; /* Status */  int **s; /* Status */
 double *agedc, **covar, idx;  double *agedc;
 int **nbcode, *Tvar, **codtab, **Tvard, *Tprod, cptcovprod, *Tvaraff;  double  **covar; /**< covar[j,i], value of jth covariate for individual i,
                     * covar=matrix(0,NCOVMAX,1,n); 
                     * cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2]; */
   double  idx; 
   int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */
   int *Ndum; /** Freq of modality (tricode */
   int **codtab; /**< codtab=imatrix(1,100,1,10); */
   int **Tvard, *Tprod, cptcovprod, *Tvaraff;
 double *lsurv, *lpop, *tpop;  double *lsurv, *lpop, *tpop;
   
 double ftol=FTOL; /* Tolerance for computing Max Likelihood */  double ftol=FTOL; /**< Tolerance for computing Max Likelihood */
 double ftolhess; /* Tolerance for computing hessian */  double ftolhess; /**< Tolerance for computing hessian */
   
 /**************** split *************************/  /**************** split *************************/
 static  int split( char *path, char *dirc, char *name, char *ext, char *finame )  static  int split( char *path, char *dirc, char *name, char *ext, char *finame )
Line 604  void replace_back_to_slash(char *s, char Line 703  void replace_back_to_slash(char *s, char
 }  }
   
 char *trimbb(char *out, char *in)  char *trimbb(char *out, char *in)
 { /* Trim multiple blanks in line */  { /* Trim multiple blanks in line but keeps first blanks if line starts with blanks */
   char *s;    char *s;
   s=out;    s=out;
   while (*in != '\0'){    while (*in != '\0'){
     while( *in == ' ' && *(in+1) == ' ' && *(in+1) != '\0'){      while( *in == ' ' && *(in+1) == ' '){ /* && *(in+1) != '\0'){*/
       in++;        in++;
     }      }
     *out++ = *in++;      *out++ = *in++;
Line 617  char *trimbb(char *out, char *in) Line 716  char *trimbb(char *out, char *in)
   return s;    return s;
 }  }
   
   char *cutl(char *blocc, char *alocc, char *in, char occ)
   {
     /* cuts string in into blocc and alocc where blocc ends before first occurence of char 'occ' 
        and alocc starts after first occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')
        gives blocc="abcdef2ghi" and alocc="j".
        If occ is not found blocc is null and alocc is equal to in. Returns blocc
     */
     char *s, *t, *bl;
     t=in;s=in;
     while ((*in != occ) && (*in != '\0')){
       *alocc++ = *in++;
     }
     if( *in == occ){
       *(alocc)='\0';
       s=++in;
     }
    
     if (s == t) {/* occ not found */
       *(alocc-(in-s))='\0';
       in=s;
     }
     while ( *in != '\0'){
       *blocc++ = *in++;
     }
   
     *blocc='\0';
     return t;
   }
   char *cutv(char *blocc, char *alocc, char *in, char occ)
   {
     /* cuts string in into blocc and alocc where blocc ends before last occurence of char 'occ' 
        and alocc starts after last occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')
        gives blocc="abcdef2ghi" and alocc="j".
        If occ is not found blocc is null and alocc is equal to in. Returns alocc
     */
     char *s, *t;
     t=in;s=in;
     while (*in != '\0'){
       while( *in == occ){
         *blocc++ = *in++;
         s=in;
       }
       *blocc++ = *in++;
     }
     if (s == t) /* occ not found */
       *(blocc-(in-s))='\0';
     else
       *(blocc-(in-s)-1)='\0';
     in=s;
     while ( *in != '\0'){
       *alocc++ = *in++;
     }
   
     *alocc='\0';
     return s;
   }
   
 int nbocc(char *s, char occ)  int nbocc(char *s, char occ)
 {  {
   int i,j=0;    int i,j=0;
Line 629  int nbocc(char *s, char occ) Line 785  int nbocc(char *s, char occ)
   return j;    return j;
 }  }
   
 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 ends before first occurence of char 'occ'   /*   /\* cuts string t into u and v where u ends before last occurence of char 'occ'  */
      and v starts after first occurence of char 'occ' : ex cutv(u,v,"abcdef2ghi2j",'2')  /*      and v starts after last occurence of char 'occ' : ex cutv(u,v,"abcdef2ghi2j",'2') */
      gives u="abcedf" and v="ghi2j" */  /*      gives u="abcdef2ghi" and v="j" *\/ */
   int i,lg,j,p=0;  /*   int i,lg,j,p=0; */
   i=0;  /*   i=0; */
   for(j=0; j<=strlen(t)-1; j++) {  /*   lg=strlen(t); */
     if((t[j]!= occ) && (t[j+1]== occ)) p=j+1;  /*   for(j=0; j<=lg-1; j++) { */
   }  /*     if((t[j]!= occ) && (t[j+1]== occ)) p=j+1; */
   /*   } */
   
   lg=strlen(t);  /*   for(j=0; j<p; j++) { */
   for(j=0; j<p; j++) {  /*     (u[j] = t[j]); */
     (u[j] = t[j]);  /*   } */
   }  /*      u[p]='\0'; */
      u[p]='\0';  
   
    for(j=0; j<= lg; j++) {  /*    for(j=0; j<= lg; j++) { */
     if (j>=(p+1))(v[j-p-1] = t[j]);  /*     if (j>=(p+1))(v[j-p-1] = t[j]); */
   }  /*   } */
 }  /* } */
   
 /********************** nrerror ********************/  /********************** nrerror ********************/
   
Line 758  double **matrix(long nrl, long nrh, long Line 914  double **matrix(long nrl, long nrh, long
   
   for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;    for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
   return m;    return m;
   /* print *(*(m+1)+70) or print m[1][70]; print m+1 or print &(m[1])     /* print *(*(m+1)+70) or print m[1][70]; print m+1 or print &(m[1]) or &(m[1][0])
   m[i] = address of ith row of the table. &(m[i]) is its value which is another adress
   that of m[i][0]. In order to get the value p m[i][0] but it is unitialized.
    */     */
 }  }
   
Line 1032  char *asc_diff_time(long time_sec, char Line 1190  char *asc_diff_time(long time_sec, char
   sec_left = (sec_left) %(60*60);    sec_left = (sec_left) %(60*60);
   minutes = (sec_left) /60;    minutes = (sec_left) /60;
   sec_left = (sec_left) % (60);    sec_left = (sec_left) % (60);
   sprintf(ascdiff,"%d day(s) %d hour(s) %d minute(s) %d second(s)",days, hours, minutes, sec_left);      sprintf(ascdiff,"%ld day(s) %ld hour(s) %ld minute(s) %ld second(s)",days, hours, minutes, sec_left);  
   return ascdiff;    return ascdiff;
 }  }
   
Line 1193  double **prevalim(double **prlim, int nl Line 1351  double **prevalim(double **prlim, int nl
   
   int i, ii,j,k;    int i, ii,j,k;
   double min, max, maxmin, maxmax,sumnew=0.;    double min, max, maxmin, maxmax,sumnew=0.;
   double **matprod2();    /* double **matprod2(); */ /* test */
   double **out, cov[NCOVMAX+1], **pmij();    double **out, cov[NCOVMAX+1], **pmij();
   double **newm;    double **newm;
   double agefin, delaymax=50 ; /* Max number of years to converge */    double agefin, delaymax=50 ; /* Max number of years to converge */
Line 1209  double **prevalim(double **prlim, int nl Line 1367  double **prevalim(double **prlim, int nl
   for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){    for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){
     newm=savm;      newm=savm;
     /* Covariates have to be included here again */      /* Covariates have to be included here again */
      cov[2]=agefin;      cov[2]=agefin;
         
       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 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]]);*/        /*printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtab[%d][Tvar[%d]]=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k], ij, k, codtab[ij][Tvar[k]]);*/
       }      }
       for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];      /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */
       for (k=1; k<=cptcovprod;k++)      /* for (k=1; k<=cptcovprod;k++) /\* Useless *\/ */
         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]);*/      /*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);      /* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */
       /* out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /\* Bug Valgrind *\/ */
       out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* Bug Valgrind */
       
     savm=oldm;      savm=oldm;
     oldm=newm;      oldm=newm;
     maxmax=0.;      maxmax=0.;
Line 1234  double **prevalim(double **prlim, int nl Line 1394  double **prevalim(double **prlim, int nl
         sumnew=0;          sumnew=0;
         for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];          for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];
         prlim[i][j]= newm[i][j]/(1-sumnew);          prlim[i][j]= newm[i][j]/(1-sumnew);
           /*printf(" prevalim i=%d, j=%d, prmlim[%d][%d]=%f, agefin=%d \n", i, j, i, j, prlim[i][j],(int)agefin);*/
         max=FMAX(max,prlim[i][j]);          max=FMAX(max,prlim[i][j]);
         min=FMIN(min,prlim[i][j]);          min=FMIN(min,prlim[i][j]);
       }        }
Line 1250  double **prevalim(double **prlim, int nl Line 1411  double **prevalim(double **prlim, int nl
   
 double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate )  double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate )
 {  {
   double s1, s2;    /* According to parameters values stored in x and the covariate's values stored in cov,
        computes the probability to be observed in state j being in state i by appying the
        model to the ncovmodel covariates (including constant and age).
        lnpijopii=ln(pij/pii)= aij+bij*age+cij*v1+dij*v2+... = sum_nc=1^ncovmodel xij(nc)*cov[nc]
        and, according on how parameters are entered, the position of the coefficient xij(nc) of the
        ncth covariate in the global vector x is given by the formula:
        j<i nc+((i-1)*(nlstate+ndeath-1)+j-1)*ncovmodel
        j>=i nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel
        Computes ln(pij/pii) (lnpijopii), deduces pij/pii by exponentiation,
        sums on j different of i to get 1-pii/pii, deduces pii, and then all pij.
        Outputs ps[i][j] the probability to be observed in j being in j according to
        the values of the covariates cov[nc] and corresponding parameter values x[nc+shiftij]
     */
     double s1, lnpijopii;
   /*double t34;*/    /*double t34;*/
   int i,j,j1, nc, ii, jj;    int i,j,j1, nc, ii, jj;
   
     for(i=1; i<= nlstate; i++){      for(i=1; i<= nlstate; i++){
       for(j=1; j<i;j++){        for(j=1; j<i;j++){
         for (nc=1, s2=0.;nc <=ncovmodel; nc++){          for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){
           /*s2 += param[i][j][nc]*cov[nc];*/            /*lnpijopii += param[i][j][nc]*cov[nc];*/
           s2 += x[(i-1)*nlstate*ncovmodel+(j-1)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];            lnpijopii += x[nc+((i-1)*(nlstate+ndeath-1)+j-1)*ncovmodel]*cov[nc];
 /*       printf("Int j<i s1=%.17e, s2=%.17e\n",s1,s2); */  /*       printf("Int j<i s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */
         }          }
         ps[i][j]=s2;          ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */
 /*      printf("s1=%.17e, s2=%.17e\n",s1,s2); */  /*      printf("s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */
       }        }
       for(j=i+1; j<=nlstate+ndeath;j++){        for(j=i+1; j<=nlstate+ndeath;j++){
         for (nc=1, s2=0.;nc <=ncovmodel; nc++){          for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){
           s2 += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];            /*lnpijopii += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];*/
 /*        printf("Int j>i s1=%.17e, s2=%.17e %lx %lx\n",s1,s2,s1,s2); */            lnpijopii += x[nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel]*cov[nc];
   /*        printf("Int j>i s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */
         }          }
         ps[i][j]=s2;          ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */
       }        }
     }      }
     /*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++){
         s1+=exp(ps[i][j]);          s1+=exp(ps[i][j]); /* In fact sums pij/pii */
         /*printf("debug1 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */          /*printf("debug1 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */
       }        }
       for(j=i+1; j<=nlstate+ndeath; j++){        for(j=i+1; j<=nlstate+ndeath; j++){
         s1+=exp(ps[i][j]);          s1+=exp(ps[i][j]); /* In fact sums pij/pii */
         /*printf("debug2 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */          /*printf("debug2 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */
       }        }
         /* s1= sum_{j<>i} pij/pii=(1-pii)/pii and thus pii is known from s1 */
       ps[i][i]=1./(s1+1.);        ps[i][i]=1./(s1+1.);
         /* Computing other pijs */
       for(j=1; j<i; j++)        for(j=1; j<i; j++)
         ps[i][j]= exp(ps[i][j])*ps[i][i];          ps[i][j]= exp(ps[i][j])*ps[i][i];
       for(j=i+1; j<=nlstate+ndeath; j++)        for(j=i+1; j<=nlstate+ndeath; j++)
Line 1299  double **pmij(double **ps, double *cov, Line 1475  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("ddd %lf ",ps[ii][jj]); */      /*  printf(" pmij  ps[%d][%d]=%lf ",ii,jj,ps[ii][jj]); */
 /*       } */      /*   } */
 /*       printf("\n "); */      /*   printf("\n "); */
 /*        } */      /* } */
 /*        printf("\n ");printf("%lf ",cov[2]); */      /* printf("\n ");printf("%lf ",cov[2]);*/
        /*      /*
       for(i=1; i<= npar; i++) printf("%f ",x[i]);        for(i=1; i<= npar; i++) printf("%f ",x[i]);
       goto end;*/        goto end;*/
     return ps;      return ps;
Line 1315  double **pmij(double **ps, double *cov, Line 1491  double **pmij(double **ps, double *cov,
   
 /**************** Product of 2 matrices ******************/  /**************** Product of 2 matrices ******************/
   
 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,int nrl, int nrh, int ncl, int nch, int ncolol, int ncoloh, double **b)
 {  {
   /* Computes the matrix 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
      a pointer to pointers identical to out */       a pointer to pointers identical to out */
   long i, j, k;    int i, j, k;
   for(i=nrl; i<= nrh; i++)    for(i=nrl; i<= nrh; i++)
     for(k=ncolol; k<=ncoloh; k++)      for(k=ncolol; k<=ncoloh; k++){
       for(j=ncl,out[i][k]=0.; j<=nch; j++)        out[i][k]=0.;
         out[i][k] +=in[i][j]*b[j][k];        for(j=ncl; j<=nch; j++)
           out[i][k] +=in[i][j]*b[j][k];
       }
   return out;    return out;
 }  }
   
Line 1369  double ***hpxij(double ***po, int nhstep Line 1546  double ***hpxij(double ***po, int nhstep
         cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[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++) /* Useless because included in cptcovn */
         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 1415  double func( double *x) Line 1592  double func( double *x)
   
   if(mle==1){    if(mle==1){
     for (i=1,ipmx=0, sw=0.; i<=imx; i++){      for (i=1,ipmx=0, sw=0.; i<=imx; i++){
       for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];        /* Computes the values of the ncovmodel covariates of the model
            depending if the covariates are fixed or variying (age dependent) and stores them in cov[]
            Then computes with function pmij which return a matrix p[i][j] giving the elementary probability
            to be observed in j being in i according to the model.
          */
         for (k=1; k<=cptcovn;k++){ /* Simple and product covariates without age* products */
           cov[2+k]=covar[Tvar[k]][i];
         }
         /* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4] 
            is 6, Tvar[3=age*V3] should not be computed because of age Tvar[4=V3*V2] 
            has been calculated etc */
       for(mi=1; mi<= wav[i]-1; mi++){        for(mi=1; mi<= wav[i]-1; mi++){
         for (ii=1;ii<=nlstate+ndeath;ii++)          for (ii=1;ii<=nlstate+ndeath;ii++)
           for (j=1;j<=nlstate+ndeath;j++){            for (j=1;j<=nlstate+ndeath;j++){
Line 1426  double func( double *x) Line 1613  double func( double *x)
           newm=savm;            newm=savm;
           cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;            cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
           for (kk=1; kk<=cptcovage;kk++) {            for (kk=1; kk<=cptcovage;kk++) {
             cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];              cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2]; /* Tage[kk] gives the data-covariate associated with age */
           }            }
           out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,            out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
                        1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));                         1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
Line 1680  double funcone( double *x) Line 1867  double funcone( double *x)
         for (kk=1; kk<=cptcovage;kk++) {          for (kk=1; kk<=cptcovage;kk++) {
           cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];            cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
         }          }
           /* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */
         out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,          out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
                      1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));                       1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
           /* out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, */
           /*           1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); */
         savm=oldm;          savm=oldm;
         oldm=newm;          oldm=newm;
       } /* end mult */        } /* end mult */
Line 1706  double funcone( double *x) Line 1896  double funcone( double *x)
         lli= (savm[s1][s2]>(double)1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */          lli= (savm[s1][s2]>(double)1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */
       } else if (mle==4){  /* mle=4 no inter-extrapolation */        } else if (mle==4){  /* mle=4 no inter-extrapolation */
         lli=log(out[s1][s2]); /* Original formula */          lli=log(out[s1][s2]); /* Original formula */
       } else{  /* ml>=5 no inter-extrapolation no jackson =0.8a */        } else{  /* mle=0 back to 1 */
         lli=log(out[s1][s2]); /* Original formula */          lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
           /*lli=log(out[s1][s2]); */ /* Original formula */
       } /* End of if */        } /* End of if */
       ipmx +=1;        ipmx +=1;
       sw += weight[i];        sw += weight[i];
       ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;        ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
       /*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */        /*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */
       if(globpr){        if(globpr){
         fprintf(ficresilk,"%9d %6d %2d %2d %1d %1d %3d %11.6f %8.4f\          fprintf(ficresilk,"%9ld %6d %2d %2d %1d %1d %3d %11.6f %8.4f\
  %11.6f %11.6f %11.6f ", \   %11.6f %11.6f %11.6f ", \
                 num[i],i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],                  num[i],i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],
                 2*weight[i]*lli,out[s1][s2],savm[s1][s2]);                  2*weight[i]*lli,out[s1][s2],savm[s1][s2]);
Line 1926  double hessii(double x[], double delta, Line 2117  double hessii(double x[], double delta,
   
   fx=func(x);    fx=func(x);
   for (i=1;i<=npar;i++) p2[i]=x[i];    for (i=1;i<=npar;i++) p2[i]=x[i];
   for(l=0 ; l <=lmax; l++){    for(l=0 ; l <=lmax; l++){  /* Enlarging the zone around the Maximum */
     l1=pow(10,l);      l1=pow(10,l);
     delts=delt;      delts=delt;
     for(k=1 ; k <kmax; k=k+1){      for(k=1 ; k <kmax; k=k+1){
       delt = delta*(l1*k);        delt = delta*(l1*k);
       p2[theta]=x[theta] +delt;        p2[theta]=x[theta] +delt;
       k1=func(p2)-fx;        k1=func(p2)-fx;   /* Might be negative if too close to the theoretical maximum */
       p2[theta]=x[theta]-delt;        p2[theta]=x[theta]-delt;
       k2=func(p2)-fx;        k2=func(p2)-fx;
       /*res= (k1-2.0*fx+k2)/delt/delt; */        /*res= (k1-2.0*fx+k2)/delt/delt; */
Line 2101  void  freqsummary(char fileres[], int ia Line 2292  void  freqsummary(char fileres[], int ia
   
   first=1;    first=1;
   
   for(k1=1; k1<=j;k1++){    /* for(k1=1; k1<=j ; k1++){   /* Loop on covariates */
     for(i1=1; i1<=ncodemax[k1];i1++){    /*  for(i1=1; i1<=ncodemax[k1];i1++){ /* Now it is 2 */
       j1++;    /*    j1++;
   */
     for (j1 = 1; j1 <= (int) pow(2,cptcoveff); 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=-5; i<=nlstate+ndeath; i++)          for (i=-5; i<=nlstate+ndeath; i++)  
         for (jk=-5; jk<=nlstate+ndeath; jk++)            for (jk=-5; jk<=nlstate+ndeath; jk++)  
           for(m=iagemin; m <= iagemax+3; m++)            for(m=iagemin; m <= iagemax+3; m++)
             freq[i][jk][m]=0;              freq[i][jk][m]=0;
         
     for (i=1; i<=nlstate; i++)          for (i=1; i<=nlstate; i++)  
       for(m=iagemin; m <= iagemax+3; m++)          for(m=iagemin; m <= iagemax+3; m++)
         prop[i][m]=0;            prop[i][m]=0;
               
       dateintsum=0;        dateintsum=0;
       k2cpt=0;        k2cpt=0;
       for (i=1; i<=imx; i++) {        for (i=1; i<=imx; i++) {
         bool=1;          bool=1;
         if  (cptcovn>0) {          if  (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */
           for (z1=1; z1<=cptcoveff; z1++)             for (z1=1; z1<=cptcoveff; z1++)       
             if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]])               if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]){
               bool=0;                  /* Tests if the value of each of the covariates of i is equal to filter j1 */
                 bool=0;
                 /* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtab[%d][%d]=%d, nbcode[Tvaraff][codtab[%d][%d]=%d, j1=%d\n", 
                   bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtab[j1][z1],
                   j1,z1,nbcode[Tvaraff[z1]][codtab[j1][z1]],j1);*/
                 /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtab[7][3]=1 and nbcde[3][?]=1*/
               } 
         }          }
    
         if (bool==1){          if (bool==1){
           for(m=firstpass; m<=lastpass; m++){            for(m=firstpass; m<=lastpass; m++){
             k2=anint[m][i]+(mint[m][i]/12.);              k2=anint[m][i]+(mint[m][i]/12.);
Line 2143  void  freqsummary(char fileres[], int ia Line 2343  void  freqsummary(char fileres[], int ia
               /*}*/                /*}*/
           }            }
         }          }
       }        } /* end i */
                 
       /*      fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/        /*      fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
       pstamp(ficresp);        pstamp(ficresp);
Line 2151  void  freqsummary(char fileres[], int ia Line 2351  void  freqsummary(char fileres[], int ia
         fprintf(ficresp, "\n#********** Variable ");           fprintf(ficresp, "\n#********** Variable "); 
         for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);          for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
         fprintf(ficresp, "**********\n#");          fprintf(ficresp, "**********\n#");
           fprintf(ficlog, "\n#********** Variable "); 
           for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
           fprintf(ficlog, "**********\n#");
       }        }
       for(i=1; i<=nlstate;i++)         for(i=1; i<=nlstate;i++) 
         fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);          fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);
Line 2227  void  freqsummary(char fileres[], int ia Line 2430  void  freqsummary(char fileres[], int ia
           printf("Others in log...\n");            printf("Others in log...\n");
         fprintf(ficlog,"\n");          fprintf(ficlog,"\n");
       }        }
     }        /*}*/
   }    }
   dateintmean=dateintsum/k2cpt;     dateintmean=dateintsum/k2cpt; 
     
Line 2252  void prevalence(double ***probs, double Line 2455  void prevalence(double ***probs, double
   double pos,posprop;     double pos,posprop; 
   double  y2; /* in fractional years */    double  y2; /* in fractional years */
   int iagemin, iagemax;    int iagemin, iagemax;
     int first; /** to stop verbosity which is redirected to log file */
   
   iagemin= (int) agemin;    iagemin= (int) agemin;
   iagemax= (int) agemax;    iagemax= (int) agemax;
Line 2260  void prevalence(double ***probs, double Line 2464  void prevalence(double ***probs, double
   /*  freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/    /*  freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+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;}
       
   for(k1=1; k1<=j;k1++){    first=1;
     for(i1=1; i1<=ncodemax[k1];i1++){    for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){
       j1++;      /*for(i1=1; i1<=ncodemax[k1];i1++){
         j1++;*/
               
       for (i=1; i<=nlstate; i++)          for (i=1; i<=nlstate; i++)  
         for(m=iagemin; m <= iagemax+3; m++)          for(m=iagemin; m <= iagemax+3; m++)
Line 2295  void prevalence(double ***probs, double Line 2500  void prevalence(double ***probs, double
         }          }
       }        }
       for(i=iagemin; i <= iagemax+3; i++){          for(i=iagemin; i <= iagemax+3; i++){  
           
         for(jk=1,posprop=0; jk <=nlstate ; jk++) {           for(jk=1,posprop=0; jk <=nlstate ; jk++) { 
           posprop += prop[jk][i];             posprop += prop[jk][i]; 
         }           } 
           
         for(jk=1; jk <=nlstate ; jk++){               for(jk=1; jk <=nlstate ; jk++){     
           if( i <=  iagemax){             if( i <=  iagemax){ 
             if(posprop>=1.e-5){               if(posprop>=1.e-5){ 
               probs[i][jk][j1]= prop[jk][i]/posprop;                probs[i][jk][j1]= prop[jk][i]/posprop;
             } else              } else{
               printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\n",jk,i,j1,probs[i][jk][j1]);                if(first==1){
                   first=0;
                   printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\nSee others on log file...\n",jk,i,j1,probs[i][jk][j1]);
                 }
               }
           }             } 
         }/* end jk */           }/* end jk */ 
       }/* end i */         }/* end i */ 
     } /* end i1 */      /*} *//* end i1 */
   } /* end k1 */    } /* end j1 */
       
   /*  free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/    /*  free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/
   /*free_vector(pp,1,nlstate);*/    /*free_vector(pp,1,nlstate);*/
Line 2430  void  concatwav(int wav[], int **dh, int Line 2638  void  concatwav(int wav[], int **dh, int
             dh[mi][i]=jk;              dh[mi][i]=jk;
             bh[mi][i]=0;              bh[mi][i]=0;
           }else{ /* We want a negative bias in order to only have interpolation ie            }else{ /* We want a negative bias in order to only have interpolation ie
                   * at the price of an extra matrix product in likelihood */                    * to avoid the price of an extra matrix product in likelihood */
             dh[mi][i]=jk+1;              dh[mi][i]=jk+1;
             bh[mi][i]=ju;              bh[mi][i]=ju;
           }            }
Line 2456  void  concatwav(int wav[], int **dh, int Line 2664  void  concatwav(int wav[], int **dh, int
   }    }
   jmean=sum/k;    jmean=sum/k;
   printf("Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f\n\n ",jmin, num[ijmin], jmax, num[ijmax], jmean);    printf("Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f\n\n ",jmin, num[ijmin], jmax, num[ijmax], jmean);
   fprintf(ficlog,"Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f\n\n ",jmin, ijmin, jmax, ijmax, jmean);    fprintf(ficlog,"Delay (in months) between two waves Min=%d (for indiviudal %d) Max=%d (%d) Mean=%f\n\n ",jmin, ijmin, jmax, ijmax, jmean);
  }   }
   
 /*********** Tricode ****************************/  /*********** Tricode ****************************/
 void tricode(int *Tvar, int **nbcode, int imx)  void tricode(int *Tvar, int **nbcode, int imx, int *Ndum)
 {  {
       /**< Uses cptcovn+2*cptcovprod as the number of covariates */
   /*      Tvar[i]=atoi(stre); /* find 'n' in Vn and stores in Tvar. If model=V2+V1 Tvar[1]=2 and Tvar[2]=1 */    /*      Tvar[i]=atoi(stre);  find 'n' in Vn and stores in Tvar. If model=V2+V1 Tvar[1]=2 and Tvar[2]=1 
     /* Boring subroutine which should only output nbcode[Tvar[j]][k]
      * Tvar[5] in V2+V1+V3*age+V2*V4 is 2 (V2)
     /* nbcode[Tvar[j]][1]= 
     */
   
     int ij=1, k=0, j=0, i=0, maxncov=NCOVMAX;
     int modmaxcovj=0; /* Modality max of covariates j */
     int cptcode=0; /* Modality max of covariates j */
     int modmincovj=0; /* Modality min of covariates j */
   
   
   int Ndum[20],ij=1, k=0, j=0, i=0, maxncov=NCOVMAX;  
   int cptcode=0;  
   cptcoveff=0;     cptcoveff=0; 
     
   for (k=0; k<maxncov; k++) Ndum[k]=0;    for (k=-1; k < maxncov; k++) Ndum[k]=0;
   for (k=1; k<=7; k++) ncodemax[k]=0; /* Horrible constant again */    for (k=1; k <= maxncov; k++) ncodemax[k]=0; /* Horrible constant again replaced by NCOVMAX */
   
   for (j=1; j<=(cptcovn+2*cptcovprod); j++) { /* For each covariate */    /* Loop on covariates without age and products */
     for (i=1; i<=imx; i++) { /*reads the data file to get the maximum     for (j=1; j<=(cptcovs); j++) { /* model V1 + V2*age+ V3 + V3*V4 : V1 + V3 = 2 only */
                                modality*/       for (i=1; i<=imx; i++) { /* Lopp on individuals: reads the data file to get the maximum value of the 
       ij=(int)(covar[Tvar[j]][i]); /* ij is the modality of this individual, might be -1*/                                 modality of this covariate Vj*/ 
       Ndum[ij]++; /*counts the occurence of this modality */        ij=(int)(covar[Tvar[j]][i]); /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i
                                       * If product of Vn*Vm, still boolean *:
                                       * If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables
                                       * 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0   */
         /* Finds for covariate j, n=Tvar[j] of Vn . ij is the
                                         modality of the nth covariate of individual i. */
         if (ij > modmaxcovj)
           modmaxcovj=ij; 
         else if (ij < modmincovj) 
           modmincovj=ij; 
         if ((ij < -1) && (ij > NCOVMAX)){
           printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX );
           exit(1);
         }else
         Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/
         /*  If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */
       /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/        /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/
       if (ij > cptcode) cptcode=ij; /* getting the maximum value of the modality of the covariate  (should be 0 or 1 now)         /* getting the maximum value of the modality of the covariate
                                        Tvar[j]. If V=sex and male is 0 and            (should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and
                                        female is 1, then  cptcode=1.*/           female is 1, then modmaxcovj=1.*/
     }      }
       printf(" Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", j, Tvar[j], modmincovj, modmaxcovj);
     for (i=0; i<=cptcode; i++) { /* i=-1 ?*/      cptcode=modmaxcovj;
       if(Ndum[i]!=0) ncodemax[j]++; /* Nomber of modalities of the j      /* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */
                                        th covariate. In fact     /*for (i=0; i<=cptcode; i++) {*/
                                        ncodemax[j]=2      for (i=modmincovj;  i<=modmaxcovj; i++) { /* i=-1 ? 0 and 1*//* For each value of the modality of model-cov j */
                                        (dichotom. variables only) but        printf("Frequencies of covariates %d V%d %d\n", j, Tvar[j], Ndum[i]);
                                        it can be more */        if( Ndum[i] != 0 ){ /* Counts if nobody answered, empty modality */
           ncodemax[j]++;  /* ncodemax[j]= Number of non-null modalities of the j th covariate. */
         }
         /* In fact  ncodemax[j]=2 (dichotom. variables only) but it could be more for
            historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */
     } /* Ndum[-1] number of undefined modalities */      } /* Ndum[-1] number of undefined modalities */
   
     ij=1;       /* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */
     for (i=1; i<=ncodemax[j]; i++) { /* i= 1 to 2 */      /* For covariate j, modalities could be 1, 2, 3, 4. If Ndum[2]=0 ncodemax[j] is not 4 but 3 */
       for (k=0; k<= maxncov; k++) { /* k=-1 ?*/      /* If Ndum[3}= 635; Ndum[4]=0; Ndum[5]=0; Ndum[6]=27; Ndum[7]=125;
          modmincovj=3; modmaxcovj = 7;
          There are only 3 modalities non empty (or 2 if 27 is too few) : ncodemax[j]=3;
          which will be coded 0, 1, 2 which in binary on 3-1 digits are 0=00 1=01, 2=10; defining two dummy 
          variables V1_1 and V1_2.
          nbcode[Tvar[j]][ij]=k;
          nbcode[Tvar[j]][1]=0;
          nbcode[Tvar[j]][2]=1;
          nbcode[Tvar[j]][3]=2;
       */
       ij=1; /* ij is similar to i but can jumps over null modalities */
       for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 */
         for (k=0; k<= cptcode; k++) { /* k=-1 ? k=0 to 1 *//* Could be 1 to 4 */
           /*recode from 0 */
         if (Ndum[k] != 0) { /* If at least one individual responded to this modality k */          if (Ndum[k] != 0) { /* If at least one individual responded to this modality k */
           nbcode[Tvar[j]][ij]=k;  /* stores the modality in an array nbcode.             nbcode[Tvar[j]][ij]=k;  /* stores the modality in an array nbcode. 
                                      k is a modality. If we have model=V1+V1*sex                                        k is a modality. If we have model=V1+V1*sex 
Line 2501  void tricode(int *Tvar, int **nbcode, in Line 2749  void tricode(int *Tvar, int **nbcode, in
           ij++;            ij++;
         }          }
         if (ij > ncodemax[j]) break;           if (ij > ncodemax[j]) break; 
       }          }  /* end of loop on */
     }       } /* end of loop on modality */ 
   }      } /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/  
     
  for (k=0; k< maxncov; k++) Ndum[k]=0;   for (k=-1; k< maxncov; k++) Ndum[k]=0; 
     
  for (i=1; i<=ncovmodel-2; i++) { /* -2, cste and age */    for (i=1; i<=ncovmodel-2; i++) { /* -2, cste and age */ 
    /* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/     /* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/ 
    ij=Tvar[i]; /* Tvar might be -1 if status was unknown */     ij=Tvar[i]; /* Tvar might be -1 if status was unknown */ 
    Ndum[ij]++;     Ndum[ij]++; 
  }   } 
   
  ij=1;   ij=1;
  for (i=1; i<= maxncov; i++) {   for (i=0; i<=  maxncov-1; i++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */
      /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/
    if((Ndum[i]!=0) && (i<=ncovcol)){     if((Ndum[i]!=0) && (i<=ncovcol)){
      Tvaraff[ij]=i; /*For printing */       /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/
        Tvaraff[ij]=i; /*For printing (unclear) */
      ij++;       ij++;
    }     }else
          Tvaraff[ij]=0;
  }   }
  ij--;   ij--;
  cptcoveff=ij; /*Number of simple covariates*/   cptcoveff=ij; /*Number of total covariates*/
   
 }  }
   
   
 /*********** Health Expectancies ****************/  /*********** Health Expectancies ****************/
   
 void evsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,char strstart[] )  void evsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,char strstart[] )
Line 3119  void varevsij(char optionfilefiname[], d Line 3372  void varevsij(char optionfilefiname[], d
   free_vector(gmp,nlstate+1,nlstate+ndeath);    free_vector(gmp,nlstate+1,nlstate+ndeath);
   free_matrix(gradgp,1,npar,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*/    free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/
   fprintf(ficgp,"\nunset parametric;unset label; set ter png small;set size 0.65, 0.65");    fprintf(ficgp,"\nunset parametric;unset label; set ter png small size 320, 240");
   /* for(j=nlstate+1; j<= nlstate+ndeath; j++){ *//* Only the first actually */    /* for(j=nlstate+1; j<= nlstate+ndeath; j++){ *//* Only the first actually */
   fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");    fprintf(ficgp,"\n set log y; unset log 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 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) 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(ficgp,"\n replot \"%s\"  u 1:(($3-1.96*$4)*%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */
   fprintf(ficgp,"\n plot \"%s\"  u 1:($3) not w l 1 ",subdirf(fileresprobmorprev));    fprintf(ficgp,"\n plot \"%s\"  u 1:($3) not w l lt 1 ",subdirf(fileresprobmorprev));
   fprintf(ficgp,"\n replot \"%s\"  u 1:(($3+1.96*$4)) t \"95\%% interval\" w l 2 ",subdirf(fileresprobmorprev));    fprintf(ficgp,"\n replot \"%s\"  u 1:(($3+1.96*$4)) t \"95\%% interval\" w l lt 2 ",subdirf(fileresprobmorprev));
   fprintf(ficgp,"\n replot \"%s\"  u 1:(($3-1.96*$4)) not w l 2 ",subdirf(fileresprobmorprev));    fprintf(ficgp,"\n replot \"%s\"  u 1:(($3-1.96*$4)) not w l lt 2 ",subdirf(fileresprobmorprev));
   fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));    fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));
   fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.png\"> <br>\n", estepm,subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);    fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.png\"> <br>\n", estepm,subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);
   /*  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(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);
Line 3237  void varprob(char optionfilefiname[], do Line 3490  void varprob(char optionfilefiname[], do
   int i, j=0,  i1, k1, l1, t, tj;    int i, j=0,  i1, k1, l1, t, tj;
   int k2, l2, j1,  z1;    int k2, l2, j1,  z1;
   int k=0,l, cptcode;    int k=0,l, cptcode;
   int first=1, first1;    int first=1, first1, first2;
   double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;    double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;
   double **dnewm,**doldm;    double **dnewm,**doldm;
   double *xp;    double *xp;
   double *gp, *gm;    double *gp, *gm;
   double **gradg, **trgradg;    double **gradg, **trgradg;
   double **mu;    double **mu;
   double age,agelim, cov[NCOVMAX];    double age,agelim, cov[NCOVMAX+1];
   double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */    double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */
   int theta;    int theta;
   char fileresprob[FILENAMELENGTH];    char fileresprob[FILENAMELENGTH];
   char fileresprobcov[FILENAMELENGTH];    char fileresprobcov[FILENAMELENGTH];
   char fileresprobcor[FILENAMELENGTH];    char fileresprobcor[FILENAMELENGTH];
   
   double ***varpij;    double ***varpij;
   
   strcpy(fileresprob,"prob");     strcpy(fileresprob,"prob"); 
Line 3323  standard deviations wide on each axis. < Line 3575  standard deviations wide on each axis. <
 To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.<br> \n");  To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.<br> \n");
   
   cov[1]=1;    cov[1]=1;
   tj=cptcoveff;    /* tj=cptcoveff; */
     tj = (int) pow(2,cptcoveff);
   if (cptcovn<1) {tj=1;ncodemax[1]=1;}    if (cptcovn<1) {tj=1;ncodemax[1]=1;}
   j1=0;    j1=0;
   for(t=1; t<=tj;t++){    for(j1=1; j1<=tj;j1++){
     for(i1=1; i1<=ncodemax[t];i1++){       /*for(i1=1; i1<=ncodemax[t];i1++){ */
       j1++;      /*j1++;*/
       if  (cptcovn>0) {        if  (cptcovn>0) {
         fprintf(ficresprob, "\n#********** Variable ");           fprintf(ficresprob, "\n#********** Variable "); 
         for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);          for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
Line 3351  To be simple, these graphs help to under Line 3604  To be simple, these graphs help to under
         fprintf(ficresprobcor, "**********\n#");              fprintf(ficresprobcor, "**********\n#");    
       }        }
               
         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 (age=bage; age<=fage; age ++){         for (age=bage; age<=fage; age ++){ 
         cov[2]=age;          cov[2]=age;
         for (k=1; k<=cptcovn;k++) {          for (k=1; k<=cptcovn;k++) {
           cov[2+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]];            cov[2+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]];/* j1 1 2 3 4
                                                            * 1  1 1 1 1
                                                            * 2  2 1 1 1
                                                            * 3  1 2 1 1
                                                            */
             /* nbcode[1][1]=0 nbcode[1][2]=1;*/
         }          }
         for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];          for (k=1; k<=cptcovage;k++) 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]]];
                   
         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(theta=1; theta <=npar; theta++){
           for(i=1; i<=npar; i++)            for(i=1; i<=npar; i++)
Line 3401  To be simple, these graphs help to under Line 3659  To be simple, these graphs help to under
                   
         matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov);           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);          matprod2(doldm,dnewm,1,(nlstate)*(nlstate+ndeath),1,npar,1,(nlstate)*(nlstate+ndeath),gradg);
         free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath));  
         free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath));  
         free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);  
         free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);  
   
         pmij(pmmij,cov,ncovmodel,x,nlstate);          pmij(pmmij,cov,ncovmodel,x,nlstate);
                   
Line 3438  To be simple, these graphs help to under Line 3692  To be simple, these graphs help to under
         i=0;          i=0;
         for (k=1; k<=(nlstate);k++){          for (k=1; k<=(nlstate);k++){
           for (l=1; l<=(nlstate+ndeath);l++){             for (l=1; l<=(nlstate+ndeath);l++){ 
             i=i++;              i++;
             fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l);              fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l);
             fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l);              fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l);
             for (j=1; j<=i;j++){              for (j=1; j<=i;j++){
                 /* printf(" k=%d l=%d i=%d j=%d\n",k,l,i,j);fflush(stdout); */
               fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]);                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]));                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 state */
       } /* end of loop for age */        } /* end of loop for age */
         free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath));
         free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath));
         free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
         free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
         
       /* Confidence intervalle of pij  */        /* Confidence intervalle of pij  */
       /*        /*
         fprintf(ficgp,"\nunset parametric;unset label");          fprintf(ficgp,"\nunset parametric;unset label");
Line 3461  To be simple, these graphs help to under Line 3720  To be simple, these graphs help to under
       */        */
   
       /* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/        /* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/
       first1=1;        first1=1;first2=2;
       for (k2=1; k2<=(nlstate);k2++){        for (k2=1; k2<=(nlstate);k2++){
         for (l2=1; l2<=(nlstate+ndeath);l2++){           for (l2=1; l2<=(nlstate+ndeath);l2++){ 
           if(l2==k2) continue;            if(l2==k2) continue;
Line 3482  To be simple, these graphs help to under Line 3741  To be simple, these graphs help to under
                   /* Computing eigen value of matrix of covariance */                    /* Computing eigen value of matrix of covariance */
                   lc1=((v1+v2)+sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.;                    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.;                    lc2=((v1+v2)-sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.;
                     if ((lc2 <0) || (lc1 <0) ){
                       if(first2==1){
                         first1=0;
                       printf("Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS. See log file for details...\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);
                       }
                       fprintf(ficlog,"Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS.\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);fflush(ficlog);
                       /* lc1=fabs(lc1); */ /* If we want to have them positive */
                       /* lc2=fabs(lc2); */
                     }
   
                   /* Eigen vectors */                    /* Eigen vectors */
                   v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12));                    v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12));
                   /*v21=sqrt(1.-v11*v11); *//* error */                    /*v21=sqrt(1.-v11*v11); *//* error */
Line 3501  To be simple, these graphs help to under Line 3770  To be simple, these graphs help to under
                     first=0;                      first=0;
                     fprintf(ficgp,"\nset parametric;unset label");                      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 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(ficgp,"\nset ter png small size 320, 240");
                     fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\                      fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\
  :<a href=\"%s%d%1d%1d-%1d%1d.png\">\   :<a href=\"%s%d%1d%1d-%1d%1d.png\">\
 %s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,\  %s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,\
Line 3532  To be simple, these graphs help to under Line 3801  To be simple, these graphs help to under
           } /* k12 */            } /* k12 */
         } /*l1 */          } /*l1 */
       }/* k1 */        }/* k1 */
     } /* loop covariates */        /* } /* loop covariates */
   }    }
   free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);    free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);
   free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);    free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);
Line 3578  void printinghtml(char fileres[], char t Line 3847  void printinghtml(char fileres[], char t
   
 fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");  fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");
   
  m=cptcoveff;   m=pow(2,cptcoveff);
  if (cptcovn < 1) {m=1;ncodemax[1]=1;}   if (cptcovn < 1) {m=1;ncodemax[1]=1;}
   
  jj1=0;   jj1=0;
Line 3592  fprintf(fichtm," \n<ul><li><b>Graphs</b> Line 3861  fprintf(fichtm," \n<ul><li><b>Graphs</b>
        fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");         fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
      }       }
      /* Pij */       /* Pij */
      fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s%d1.png\">%s%d1.png</a><br> \       fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s%d_1.png\">%s%d_1.png</a><br> \
 <img src=\"%s%d1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);       <img src=\"%s%d_1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);     
      /* Quasi-incidences */       /* Quasi-incidences */
      fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\       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: <a href=\"%s%d2.png\">%s%d2.png</a><br> \   before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: <a href=\"%s%d_2.png\">%s%d_2.png</a><br> \
 <img src=\"%s%d2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);   <img src=\"%s%d_2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1); 
        /* Period (stable) prevalence in each health state */         /* Period (stable) prevalence in each health state */
        for(cpt=1; cpt<nlstate;cpt++){         for(cpt=1; cpt<nlstate;cpt++){
          fprintf(fichtm,"<br>- Period (stable) prevalence in each health state : <a href=\"%s%d%d.png\">%s%d%d.png</a><br> \           fprintf(fichtm,"<br>- Period (stable) prevalence in each health state : <a href=\"%s%d_%d.png\">%s%d_%d.png</a><br> \
 <img src=\"%s%d%d.png\">",subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1);  <img src=\"%s%d_%d.png\">",subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1);
        }         }
      for(cpt=1; cpt<=nlstate;cpt++) {       for(cpt=1; cpt<=nlstate;cpt++) {
         fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies : <a href=\"%s%d%d.png\">%s%d%d.png</a> <br> \          fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies : <a href=\"%s%d%d.png\">%s%d%d.png</a> <br> \
Line 3652  fprintf(fichtm," \n<ul><li><b>Graphs</b> Line 3921  fprintf(fichtm," \n<ul><li><b>Graphs</b>
  fflush(fichtm);   fflush(fichtm);
  fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");   fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");
   
  m=cptcoveff;   m=pow(2,cptcoveff);
  if (cptcovn < 1) {m=1;ncodemax[1]=1;}   if (cptcovn < 1) {m=1;ncodemax[1]=1;}
   
  jj1=0;   jj1=0;
Line 3667  fprintf(fichtm," \n<ul><li><b>Graphs</b> Line 3936  fprintf(fichtm," \n<ul><li><b>Graphs</b>
      }       }
      for(cpt=1; cpt<=nlstate;cpt++) {       for(cpt=1; cpt<=nlstate;cpt++) {
        fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \         fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \
 prevalence (with 95%% confidence interval) in state (%d): %s%d%d.png <br>\  prevalence (with 95%% confidence interval) in state (%d): %s%d_%d.png <br>\
 <img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"v"),cpt,jj1,subdirf2(optionfilefiname,"v"),cpt,jj1);    <img src=\"%s%d_%d.png\">",cpt,subdirf2(optionfilefiname,"v"),cpt,jj1,subdirf2(optionfilefiname,"v"),cpt,jj1);  
      }       }
      fprintf(fichtm,"\n<br>- Total life expectancy by age and \       fprintf(fichtm,"\n<br>- Total life expectancy by age and \
 health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \  health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \
Line 3702  void printinggnuplot(char fileres[], cha Line 3971  void printinggnuplot(char fileres[], cha
   strcpy(optfileres,"vpl");    strcpy(optfileres,"vpl");
  /* 1eme*/   /* 1eme*/
   for (cpt=1; cpt<= nlstate ; cpt ++) {    for (cpt=1; cpt<= nlstate ; cpt ++) {
    for (k1=1; k1<= m ; k1 ++) {      for (k1=1; k1<= m ; k1 ++) { /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */
      fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"v"),cpt,k1);       fprintf(ficgp,"\nset out \"%s%d_%d.png\" \n",subdirf2(optionfilefiname,"v"),cpt,k1);
      fprintf(ficgp,"\n#set out \"v%s%d%d.png\" \n",optionfilefiname,cpt,k1);       fprintf(ficgp,"\n#set out \"v%s%d_%d.png\" \n",optionfilefiname,cpt,k1);
      fprintf(ficgp,"set xlabel \"Age\" \n\       fprintf(ficgp,"set xlabel \"Age\" \n\
 set ylabel \"Probability\" \n\  set ylabel \"Probability\" \n\
 set ter png small\n\  set ter png small size 320, 240\n\
 set size 0.65,0.65\n\  
 plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,subdirf2(fileres,"vpl"),k1-1,k1-1);  plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,subdirf2(fileres,"vpl"),k1-1,k1-1);
   
      for (i=1; i<= nlstate ; i ++) {       for (i=1; i<= nlstate ; i ++) {
        if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");         if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
        else        fprintf(ficgp," \%%*lf (\%%*lf)");         else        fprintf(ficgp," \%%*lf (\%%*lf)");
      }       }
      fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);       fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);
      for (i=1; i<= nlstate ; i ++) {       for (i=1; i<= nlstate ; i ++) {
        if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");         if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
        else fprintf(ficgp," \%%*lf (\%%*lf)");         else fprintf(ficgp," \%%*lf (\%%*lf)");
      }        } 
      fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);        fprintf(ficgp,"\" t\"95\%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1); 
      for (i=1; i<= nlstate ; i ++) {       for (i=1; i<= nlstate ; i ++) {
        if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");         if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
        else fprintf(ficgp," \%%*lf (\%%*lf)");         else fprintf(ficgp," \%%*lf (\%%*lf)");
      }         }  
      fprintf(ficgp,"\" t\"\" w l 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1));       fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l lt 2",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1));
    }     }
   }    }
   /*2 eme*/    /*2 eme*/
       
   for (k1=1; k1<= m ; k1 ++) {     for (k1=1; k1<= m ; k1 ++) { 
     fprintf(ficgp,"\nset out \"%s%d.png\" \n",subdirf2(optionfilefiname,"e"),k1);      fprintf(ficgp,"\nset out \"%s%d.png\" \n",subdirf2(optionfilefiname,"e"),k1);
     fprintf(ficgp,"set ylabel \"Years\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] ",ageminpar,fage);      fprintf(ficgp,"set ylabel \"Years\" \nset ter png small size 320, 240\nplot [%.f:%.f] ",ageminpar,fage);
           
     for (i=1; i<= nlstate+1 ; i ++) {      for (i=1; i<= nlstate+1 ; i ++) {
       k=2*i;        k=2*i;
Line 3748  plot [%.f:%.f] \"%s\" every :::%d::%d u Line 4016  plot [%.f:%.f] \"%s\" every :::%d::%d u
         if (j==i) fprintf(ficgp," \%%lf (\%%lf)");          if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
         else fprintf(ficgp," \%%*lf (\%%*lf)");          else fprintf(ficgp," \%%*lf (\%%*lf)");
       }           }   
       fprintf(ficgp,"\" t\"\" w l 0,");        fprintf(ficgp,"\" t\"\" w l lt 0,");
       fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);        fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
       for (j=1; j<= nlstate+1 ; j ++) {        for (j=1; j<= nlstate+1 ; j ++) {
         if (j==i) fprintf(ficgp," \%%lf (\%%lf)");          if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
         else fprintf(ficgp," \%%*lf (\%%*lf)");          else fprintf(ficgp," \%%*lf (\%%*lf)");
       }           }   
       if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l 0");        if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0");
       else fprintf(ficgp,"\" t\"\" w l 0,");        else fprintf(ficgp,"\" t\"\" w l lt 0,");
     }      }
   }    }
       
Line 3766  plot [%.f:%.f] \"%s\" every :::%d::%d u Line 4034  plot [%.f:%.f] \"%s\" every :::%d::%d u
       /*       k=2+nlstate*(2*cpt-2); */        /*       k=2+nlstate*(2*cpt-2); */
       k=2+(nlstate+1)*(cpt-1);        k=2+(nlstate+1)*(cpt-1);
       fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1);        fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1);
       fprintf(ficgp,"set ter png small\n\        fprintf(ficgp,"set ter png small size 320, 240\n\
 set size 0.65,0.65\n\  
 plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileres,"e"),k1-1,k1-1,k,cpt);  plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileres,"e"),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);        /*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) ");          for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
Line 3790  plot [%.f:%.f] \"%s\" every :::%d::%d u Line 4057  plot [%.f:%.f] \"%s\" every :::%d::%d u
   for (k1=1; k1<= m ; k1 ++) {     for (k1=1; k1<= m ; k1 ++) { 
     for (cpt=1; cpt<=nlstate ; cpt ++) {      for (cpt=1; cpt<=nlstate ; cpt ++) {
       k=3;        k=3;
       fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"p"),cpt,k1);        fprintf(ficgp,"\nset out \"%s%d_%d.png\" \n",subdirf2(optionfilefiname,"p"),cpt,k1);
       fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\        fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\
 set ter png small\nset size 0.65,0.65\n\  set ter png small size 320, 240\n\
 unset log y\n\  unset log y\n\
 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1/0):($%d/($%d",ageminpar,agemaxpar,subdirf2(fileres,"pij"),k1,k+cpt+1,k+1);  plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1/0):($%d/($%d",ageminpar,agemaxpar,subdirf2(fileres,"pij"),k1,k+cpt+1,k+1);
               
Line 3822  plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1 Line 4089  plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1
       }        }
     }      }
    }     }
     /*goto avoid;*/
    for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/     for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/
      for(jk=1; jk <=m; jk++) {       for(jk=1; jk <=m; jk++) {
        fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"pe"),jk,ng);          fprintf(ficgp,"\nset out \"%s%d_%d.png\" \n",subdirf2(optionfilefiname,"pe"),jk,ng); 
        if (ng==2)         if (ng==2)
          fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");           fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");
        else         else
          fprintf(ficgp,"\nset title \"Probability\"\n");           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);         fprintf(ficgp,"\nset ter png small size 320, 240\nset log y\nplot  [%.f:%.f] ",ageminpar,agemaxpar);
        i=1;         i=1;
        for(k2=1; k2<=nlstate; k2++) {         for(k2=1; k2<=nlstate; k2++) {
          k3=i;           k3=i;
Line 3840  plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1 Line 4107  plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1
                fprintf(ficgp," %f*exp(p%d+p%d*x",YEARM/stepm,i,i+1);                 fprintf(ficgp," %f*exp(p%d+p%d*x",YEARM/stepm,i,i+1);
              else               else
                fprintf(ficgp," exp(p%d+p%d*x",i,i+1);                 fprintf(ficgp," exp(p%d+p%d*x",i,i+1);
              ij=1;               ij=1;/* To be checked else nbcode[0][0] wrong */
              for(j=3; j <=ncovmodel; j++) {               for(j=3; j <=ncovmodel; j++) {
                if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {                 /* if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { /\* Bug valgrind *\/ */
                  fprintf(ficgp,"+p%d*%d*x",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);                 /*        /\*fprintf(ficgp,"+p%d*%d*x",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);*\/ */
                  ij++;                 /*        ij++; */
                }                 /* } */
                else                 /* else */
                  fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);                   fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
              }               }
              fprintf(ficgp,")/(1");               fprintf(ficgp,")/(1");
Line 3855  plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1 Line 4122  plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1
                fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1);                 fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1);
                ij=1;                 ij=1;
                for(j=3; j <=ncovmodel; j++){                 for(j=3; j <=ncovmodel; j++){
                  if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {                   /* 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]]]);                   /*   fprintf(ficgp,"+p%d*%d*x",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]); */
                    ij++;                   /*   ij++; */
                  }                   /* } */
                  else                   /* else */
                    fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);                     fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
                }                 }
                fprintf(ficgp,")");                 fprintf(ficgp,")");
Line 3872  plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1 Line 4139  plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1
        } /* end k2 */         } /* end k2 */
      } /* end jk */       } /* end jk */
    } /* end ng */     } /* end ng */
    avoid:
    fflush(ficgp);      fflush(ficgp); 
 }  /* end gnuplot */  }  /* end gnuplot */
   
Line 4373  double gompertz(double x[]) Line 4641  double gompertz(double x[])
   return -2*L*num/sump;    return -2*L*num/sump;
 }  }
   
   #ifdef GSL
   /******************* Gompertz_f Likelihood ******************************/
   double gompertz_f(const gsl_vector *v, void *params)
   { 
     double A,B,LL=0.0,sump=0.,num=0.;
     double *x= (double *) v->data;
     int i,n=0; /* n is the size of the sample */
   
     for (i=0;i<=imx-1 ; i++) {
       sump=sump+weight[i];
       /*    sump=sump+1;*/
       num=num+1;
     }
    
    
     /* for (i=0; i<=imx; i++) 
        if (wav[i]>0) printf("i=%d ageex=%lf agecens=%lf agedc=%lf cens=%d %d\n" ,i,ageexmed[i],agecens[i],agedc[i],cens[i],wav[i]);*/
     printf("x[0]=%lf x[1]=%lf\n",x[0],x[1]);
     for (i=1;i<=imx ; i++)
       {
         if (cens[i] == 1 && wav[i]>1)
           A=-x[0]/(x[1])*(exp(x[1]*(agecens[i]-agegomp))-exp(x[1]*(ageexmed[i]-agegomp)));
         
         if (cens[i] == 0 && wav[i]>1)
           A=-x[0]/(x[1])*(exp(x[1]*(agedc[i]-agegomp))-exp(x[1]*(ageexmed[i]-agegomp)))
                +log(x[0]/YEARM)+x[1]*(agedc[i]-agegomp)+log(YEARM);  
         
         /*if (wav[i] > 1 && agecens[i] > 15) {*/ /* ??? */
         if (wav[i] > 1 ) { /* ??? */
           LL=LL+A*weight[i];
           /*      printf("\ni=%d A=%f L=%lf x[1]=%lf x[2]=%lf ageex=%lf agecens=%lf cens=%d agedc=%lf weight=%lf\n",i,A,L,x[1],x[2],ageexmed[i]*12,agecens[i]*12,cens[i],agedc[i]*12,weight[i]);*/
         }
       }
   
    /*printf("x1=%2.9f x2=%2.9f x3=%2.9f L=%f\n",x[1],x[2],x[3],L);*/
     printf("x[0]=%lf x[1]=%lf -2*LL*num/sump=%lf\n",x[0],x[1],-2*LL*num/sump);
    
     return -2*LL*num/sump;
   }
   #endif
   
 /******************* Printing html file ***********/  /******************* Printing html file ***********/
 void printinghtmlmort(char fileres[], char title[], char datafile[], int firstpass, \  void printinghtmlmort(char fileres[], char title[], char datafile[], int firstpass, \
                   int lastpass, int stepm, int weightopt, char model[],\                    int lastpass, int stepm, int weightopt, char model[],\
Line 4414  void printinggnuplotmort(char fileres[], Line 4723  void printinggnuplotmort(char fileres[],
   strcpy(optfileres,"vpl");    strcpy(optfileres,"vpl");
   fprintf(ficgp,"set out \"graphmort.png\"\n ");     fprintf(ficgp,"set out \"graphmort.png\"\n "); 
   fprintf(ficgp,"set xlabel \"Age\"\n set ylabel \"Force of mortality (per year)\" \n ");     fprintf(ficgp,"set xlabel \"Age\"\n set ylabel \"Force of mortality (per year)\" \n "); 
   fprintf(ficgp, "set ter png small\n set log y\n");     fprintf(ficgp, "set ter png small size 320, 240\n set log y\n"); 
   fprintf(ficgp, "set size 0.65,0.65\n");    /* fprintf(ficgp, "set size 0.65,0.65\n"); */
   fprintf(ficgp,"plot [%d:100] %lf*exp(%lf*(x-%d))",agegomp,p[1],p[2],agegomp);    fprintf(ficgp,"plot [%d:100] %lf*exp(%lf*(x-%d))",agegomp,p[1],p[2],agegomp);
   
 }   } 
   
   int readdata(char datafile[], int firstobs, int lastobs, int *imax)
   
   
   
 /***********************************************/  
 /**************** Main Program *****************/  
 /***********************************************/  
   
 int main(int argc, char *argv[])  
 {  {
   int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav);  
   int i,j, k, n=MAXN,iter,m,size=100,cptcode, cptcod;  
   int linei, month, year,iout;  
   int jj, ll, li, lj, lk, imk;  
   int numlinepar=0; /* Current linenumber of parameter file */  
   int itimes;  
   int NDIM=2;  
   int vpopbased=0;  
   
   char ca[32], cb[32], cc[32];    /*-------- data file ----------*/
     FILE *fic;
   char dummy[]="                         ";    char dummy[]="                         ";
   /*  FILE *fichtm; *//* Html File */    int i, j, n;
   /* FILE *ficgp;*/ /*Gnuplot File */    int linei, month, year,iout;
   struct stat info;    char line[MAXLINE], linetmp[MAXLINE];
   double agedeb, agefin,hf;    char stra[80], strb[80];
   double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20;  
   
   double fret;  
   double **xi,tmp,delta;  
   
   double dum; /* Dummy variable */  
   double ***p3mat;  
   double ***mobaverage;  
   int *indx;  
   char line[MAXLINE], linepar[MAXLINE];  
   char linetmp[MAXLINE];  
     char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE],model[MAXLINE];  
   char pathr[MAXLINE], pathimach[MAXLINE];   
   char **bp, *tok, *val; /* pathtot */  
   int firstobs=1, lastobs=10;  
   int sdeb, sfin; /* Status at beginning and end */  
   int c,  h , cpt,l;  
   int ju,jl, mi;  
   int i1,j1, k1,k2,k3,jk,aa,bb, stepsize, ij;  
   int jnais,jdc,jint4,jint1,jint2,jint3,**outcome,*tab;   
   int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */  
   int mobilav=0,popforecast=0;  
   int hstepm, nhstepm;  
   int agemortsup;  
   float  sumlpop=0.;  
   double jprev1=1, mprev1=1,anprev1=2000,jprev2=1, mprev2=1,anprev2=2000;  
   double jpyram=1, mpyram=1,anpyram=2000,jpyram1=1, mpyram1=1,anpyram1=2000;  
   
   double bage, fage, age, agelim, agebase;  
   double ftolpl=FTOL;  
   double **prlim;  
   double *severity;  
   double ***param; /* Matrix of parameters */  
   double  *p;  
   double **matcov; /* Matrix of covariance */  
   double ***delti3; /* Scale */  
   double *delti; /* Scale */  
   double ***eij, ***vareij;  
   double **varpl; /* Variances of prevalence limits by age */  
   double *epj, vepp;  
   double kk1, kk2;  
   double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;  
   double **ximort;  
   char *alph[]={"a","a","b","c","d","e"}, str[4];  
   int *dcwave;  
   
   char z[1]="c", occ;  
   
   char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];  
   char  *strt, strtend[80];  
   char *stratrunc;    char *stratrunc;
   int lstra;    int lstra;
   
   long total_usecs;  
    
 /*   setlocale (LC_ALL, ""); */  
 /*   bindtextdomain (PACKAGE, LOCALEDIR); */  
 /*   textdomain (PACKAGE); */  
 /*   setlocale (LC_CTYPE, ""); */  
 /*   setlocale (LC_MESSAGES, ""); */  
   
   /*   gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */  
   (void) gettimeofday(&start_time,&tzp);  
   curr_time=start_time;  
   tm = *localtime(&start_time.tv_sec);  
   tmg = *gmtime(&start_time.tv_sec);  
   strcpy(strstart,asctime(&tm));  
   
 /*  printf("Localtime (at start)=%s",strstart); */  
 /*  tp.tv_sec = tp.tv_sec +86400; */  
 /*  tm = *localtime(&start_time.tv_sec); */  
 /*   tmg.tm_year=tmg.tm_year +dsign*dyear; */  
 /*   tmg.tm_mon=tmg.tm_mon +dsign*dmonth; */  
 /*   tmg.tm_hour=tmg.tm_hour + 1; */  
 /*   tp.tv_sec = mktime(&tmg); */  
 /*   strt=asctime(&tmg); */  
 /*   printf("Time(after) =%s",strstart);  */  
 /*  (void) time (&time_value);  
 *  printf("time=%d,t-=%d\n",time_value,time_value-86400);  
 *  tm = *localtime(&time_value);  
 *  strstart=asctime(&tm);  
 *  printf("tim_value=%d,asctime=%s\n",time_value,strstart);   
 */  
   
   nberr=0; /* Number of errors and warnings */    if((fic=fopen(datafile,"r"))==NULL)    {
   nbwarn=0;      printf("Problem while opening datafile: %s\n", datafile);return 1;
   getcwd(pathcd, size);      fprintf(ficlog,"Problem while opening datafile: %s\n", datafile);return 1;
     }
   
   printf("\n%s\n%s",version,fullversion);    i=1;
   if(argc <=1){    linei=0;
     printf("\nEnter the parameter file name: ");    while ((fgets(line, MAXLINE, fic) != NULL) &&((i >= firstobs) && (i <=lastobs))) {
     fgets(pathr,FILENAMELENGTH,stdin);      linei=linei+1;
     i=strlen(pathr);      for(j=strlen(line); j>=0;j--){  /* Untabifies line */
     if(pathr[i-1]=='\n')        if(line[j] == '\t')
       pathr[i-1]='\0';          line[j] = ' ';
    for (tok = pathr; tok != NULL; ){      }
       printf("Pathr |%s|\n",pathr);      for(j=strlen(line)-1; (line[j]==' ')||(line[j]==10)||(line[j]==13);j--){
       while ((val = strsep(&tok, "\"" )) != NULL && *val == '\0');        ;
       printf("val= |%s| pathr=%s\n",val,pathr);      };
       line[j+1]=0;  /* Trims blanks at end of line */
       if(line[0]=='#'){
         fprintf(ficlog,"Comment line\n%s\n",line);
         printf("Comment line\n%s\n",line);
         continue;
       }
       trimbb(linetmp,line); /* Trims multiple blanks in line */
       for (j=0; line[j]!='\0';j++){
         line[j]=linetmp[j];
       }
     
   
       for (j=maxwav;j>=1;j--){
         cutv(stra, strb, line, ' '); 
         if(strb[0]=='.') { /* Missing status */
           lval=-1;
         }else{
           errno=0;
           lval=strtol(strb,&endptr,10); 
         /*        if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/
           if( strb[0]=='\0' || (*endptr != '\0')){
             printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,j,maxwav);
             fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog);
             return 1;
           }
         }
         s[j][i]=lval;
         
         strcpy(line,stra);
         cutv(stra, strb,line,' ');
         if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
         }
         else  if(iout=sscanf(strb,"%s.",dummy) != 0){
           month=99;
           year=9999;
         }else{
           printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d.  Exiting.\n",strb, linei,i, line,j);
           fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d.  Exiting.\n",strb, linei,i, line,j);fflush(ficlog);
           return 1;
         }
         anint[j][i]= (double) year; 
         mint[j][i]= (double)month; 
         strcpy(line,stra);
       } /* ENd Waves */
       
       cutv(stra, strb,line,' '); 
       if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
       }
       else  if(iout=sscanf(strb,"%s.",dummy) != 0){
         month=99;
         year=9999;
       }else{
         printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .).  Exiting.\n",strb, linei,i,line);
           fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .).  Exiting.\n",strb, linei,i,line);fflush(ficlog);
           return 1;
       }
       andc[i]=(double) year; 
       moisdc[i]=(double) month; 
       strcpy(line,stra);
       
       cutv(stra, strb,line,' '); 
       if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
       }
       else  if(iout=sscanf(strb,"%s.", dummy) != 0){
         month=99;
         year=9999;
       }else{
         printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .).  Exiting.\n",strb, linei,i,line);
         fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .).  Exiting.\n",strb, linei,i,line);fflush(ficlog);
           return 1;
       }
       if (year==9999) {
         printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given.  Exiting.\n",strb, linei,i,line);
         fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);fflush(ficlog);
           return 1;
   
       }
       annais[i]=(double)(year);
       moisnais[i]=(double)(month); 
       strcpy(line,stra);
       
       cutv(stra, strb,line,' '); 
       errno=0;
       dval=strtod(strb,&endptr); 
       if( strb[0]=='\0' || (*endptr != '\0')){
         printf("Error reading data around '%f' at line number %d, \"%s\" for individual %d\nShould be a weight.  Exiting.\n",dval, i,line,linei);
         fprintf(ficlog,"Error reading data around '%f' at line number %d, \"%s\" for individual %d\nShould be a weight.  Exiting.\n",dval, i,line,linei);
         fflush(ficlog);
         return 1;
       }
       weight[i]=dval; 
       strcpy(line,stra);
       
       for (j=ncovcol;j>=1;j--){
         cutv(stra, strb,line,' '); 
         if(strb[0]=='.') { /* Missing status */
           lval=-1;
         }else{
           errno=0;
           lval=strtol(strb,&endptr,10); 
           if( strb[0]=='\0' || (*endptr != '\0')){
             printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative).  Exiting.\n",lval, linei,i, line);
             fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative).  Exiting.\n",lval, linei,i, line);fflush(ficlog);
             return 1;
           }
         }
         if(lval <-1 || lval >1){
           printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \
    Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \
    for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \
    For example, for multinomial values like 1, 2 and 3,\n \
    build V1=0 V2=0 for the reference value (1),\n \
           V1=1 V2=0 for (2) \n \
    and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \
    output of IMaCh is often meaningless.\n \
    Exiting.\n",lval,linei, i,line,j);
           fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \
    Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \
    for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \
    For example, for multinomial values like 1, 2 and 3,\n \
    build V1=0 V2=0 for the reference value (1),\n \
           V1=1 V2=0 for (2) \n \
    and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \
    output of IMaCh is often meaningless.\n \
    Exiting.\n",lval,linei, i,line,j);fflush(ficlog);
           return 1;
         }
         covar[j][i]=(double)(lval);
         strcpy(line,stra);
       }  
       lstra=strlen(stra);
        
       if(lstra > 9){ /* More than 2**32 or max of what printf can write with %ld */
         stratrunc = &(stra[lstra-9]);
         num[i]=atol(stratrunc);
       }
       else
         num[i]=atol(stra);
       /*if((s[2][i]==2) && (s[3][i]==-1)&&(s[4][i]==9)){
         printf("%ld %.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;
     } /* End loop reading  data */
   
     *imax=i-1; /* Number of individuals */
     fclose(fic);
    
     return (0);
     endread:
       printf("Exiting readdata: ");
       fclose(fic);
       return (1);
   
   
   
   }
   void removespace(char *str) {
     char *p1 = str, *p2 = str;
     do
       while (*p2 == ' ')
         p2++;
     while (*p1++ = *p2++);
   }
   
   int decodemodel ( char model[], int lastobs) /**< This routine decode the model and returns:
      * Model  V1+V2+V3+V8+V7*V8+V5*V6+V8*age+V3*age
      * - cptcovt total number of covariates of the model nbocc(+)+1 = 8
      * - cptcovn or number of covariates k of the models excluding age*products =6
      * - cptcovage number of covariates with age*products =2
      * - cptcovs number of simple covariates
      * - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10
      *     which is a new column after the 9 (ncovcol) variables. 
      * - if k is a product Vn*Vm covar[k][i] is filled with correct values for each individual
      * - Tprod[l] gives the kth covariates of the product Vn*Vm l=1 to cptcovprod-cptcovage
      *    Tprod[1]@2 {5, 6}: position of first product V7*V8 is 5, and second V5*V6 is 6.
      * - Tvard[k]  p Tvard[1][1]@4 {7, 8, 5, 6} for V7*V8 and V5*V6 .
    */
   {
     int i, j, k, ks;
     int i1, j1, k1, k2;
     char modelsav[80];
     char stra[80], strb[80], strc[80], strd[80],stre[80];
   
     /*removespace(model);*/
     if (strlen(model) >1){ /* If there is at least 1 covariate */
       j=0, j1=0, k1=0, k2=-1, ks=0, cptcovn=0;
       j=nbocc(model,'+'); /**< j=Number of '+' */
       j1=nbocc(model,'*'); /**< j1=Number of '*' */
       cptcovs=j+1-j1; /**<  Number of simple covariates V1+V2*age+V3 +V3*V4=> V1 + V3 =2  */
       cptcovt= j+1; /* Number of total covariates in the model V1 + V2*age+ V3 + V3*V4=> 4*/
                     /* including age products which are counted in cptcovage.
                     /* but the covariates which are products must be treated separately: ncovn=4- 2=2 (V1+V3). */
       cptcovprod=j1; /**< Number of products  V1*V2 +v3*age = 2 */
       cptcovprodnoage=0; /**< Number of covariate products without age: V3*V4 =1  */
       strcpy(modelsav,model); 
       if (strstr(model,"AGE") !=0){
         printf("Error. AGE must be in lower case 'age' model=%s ",model);
         fprintf(ficlog,"Error. AGE must be in lower case model=%s ",model);fflush(ficlog);
         return 1;
       }
       if (strstr(model,"v") !=0){
         printf("Error. 'v' must be in upper case 'V' model=%s ",model);
         fprintf(ficlog,"Error. 'v' must be in upper case model=%s ",model);fflush(ficlog);
         return 1;
       }
       
       /*   Design
        *  V1   V2   V3   V4  V5  V6  V7  V8  V9 Weight
        *  <          ncovcol=8                >
        * Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8
        *   k=  1    2      3       4     5       6      7        8
        *  cptcovn number of covariates (not including constant and age ) = # of + plus 1 = 7+1=8
        *  covar[k,i], value of kth covariate if not including age for individual i:
        *       covar[1][i]= (V2), covar[4][i]=(V3), covar[8][i]=(V8)
        *  Tvar[k] # of the kth covariate:  Tvar[1]=2  Tvar[4]=3 Tvar[8]=8
        *       if multiplied by age: V3*age Tvar[3=V3*age]=3 (V3) Tvar[7]=8 and 
        *  Tage[++cptcovage]=k
        *       if products, new covar are created after ncovcol with k1
        *  Tvar[k]=ncovcol+k1; # of the kth covariate product:  Tvar[5]=ncovcol+1=10  Tvar[6]=ncovcol+1=11
        *  Tprod[k1]=k; Tprod[1]=5 Tprod[2]= 6; gives the position of the k1th product
        *  Tvard[k1][1]=m Tvard[k1][2]=m; Tvard[1][1]=5 (V5) Tvard[1][2]=6 Tvard[2][1]=7 (V7) Tvard[2][2]=8
        *  Tvar[cptcovn+k2]=Tvard[k1][1];Tvar[cptcovn+k2+1]=Tvard[k1][2];
        *  Tvar[8+1]=5;Tvar[8+2]=6;Tvar[8+3]=7;Tvar[8+4]=8 inverted
        *  V1   V2   V3   V4  V5  V6  V7  V8  V9  V10  V11
        *  <          ncovcol=8                >
        *       Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8    d1   d1   d2  d2
        *          k=  1    2      3       4     5       6      7        8    9   10   11  12
        *     Tvar[k]= 2    1      3       3    10      11      8        8    5    6    7   8
        * p Tvar[1]@12={2,   1,     3,      3,   11,     10,     8,       8,   7,   8,   5,  6}
        * p Tprod[1]@2={                         6, 5}
        *p Tvard[1][1]@4= {7, 8, 5, 6}
        * covar[k][i]= V2   V1      ?      V3    V5*V6?   V7*V8?  ?       V8   
        *  cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
        *How to reorganize?
        * Model V1 + V2 + V3 + V8 + V5*V6 + V7*V8 + V3*age + V8*age
        * Tvars {2,   1,     3,      3,   11,     10,     8,       8,   7,   8,   5,  6}
        *       {2,   1,     4,      8,    5,      6,     3,       7}
        * Struct []
        */
   
       /* This loop fills the array Tvar from the string 'model'.*/
       /* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */
       /*   modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4  */
       /*  k=4 (age*V3) Tvar[k=4]= 3 (from V3) Tage[cptcovage=1]=4 */
       /*  k=3 V4 Tvar[k=3]= 4 (from V4) */
       /*  k=2 V1 Tvar[k=2]= 1 (from V1) */
       /*  k=1 Tvar[1]=2 (from V2) */
       /*  k=5 Tvar[5] */
       /* for (k=1; k<=cptcovn;k++) { */
       /*  cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; */
       /*  } */
       /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */
       /*
        * Treating invertedly V2+V1+V3*age+V2*V4 is as if written V2*V4 +V3*age + V1 + V2 */
       for(k=cptcovt; k>=1;k--) /**< Number of covariates */
           Tvar[k]=0;
       cptcovage=0;
       for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */
         cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+' 
                                        modelsav==V2+V1+V4+V3*age strb=V3*age stra=V2+V1+V4 */ 
         if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */
         /*      printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/
         /*scanf("%d",i);*/
         if (strchr(strb,'*')) {  /**< Model includes a product V2+V1+V4+V3*age strb=V3*age */
           cutl(strc,strd,strb,'*'); /**< strd*strc  Vm*Vn: strb=V3*age(input) strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 */
           if (strcmp(strc,"age")==0) { /**< Model includes age: Vn*age */
             /* covar is not filled and then is empty */
             cptcovprod--;
             cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */
             Tvar[k]=atoi(stre);  /* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2 */
             cptcovage++; /* Sums the number of covariates which include age as a product */
             Tage[cptcovage]=k;  /* Tage[1] = 4 */
             /*printf("stre=%s ", stre);*/
           } else if (strcmp(strd,"age")==0) { /* or age*Vn */
             cptcovprod--;
             cutl(stre,strb,strc,'V');
             Tvar[k]=atoi(stre);
             cptcovage++;
             Tage[cptcovage]=k;
           } else {  /* Age is not in the model product V2+V1+V1*V4+V3*age+V3*V2  strb=V3*V2*/
             /* loops on k1=1 (V3*V2) and k1=2 V4*V3 */
             cptcovn++;
             cptcovprodnoage++;k1++;
             cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/
             Tvar[k]=ncovcol+k1; /* For model-covariate k tells which data-covariate to use but
                                     because this model-covariate is a construction we invent a new column
                                     ncovcol + k1
                                     If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2
                                     Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */
             cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */
             Tprod[k1]=k;  /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2  */
             Tvard[k1][1] =atoi(strc); /* m 1 for V1*/
             Tvard[k1][2] =atoi(stre); /* n 4 for V4*/
             k2=k2+2;
             Tvar[cptcovt+k2]=Tvard[k1][1]; /* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) */
             Tvar[cptcovt+k2+1]=Tvard[k1][2];  /* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) */
             for (i=1; i<=lastobs;i++){
               /* Computes the new covariate which is a product of
                  covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */
               covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i];
             }
           } /* End age is not in the model */
         } /* End if model includes a product */
         else { /* no more sum */
           /*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/
          /*  scanf("%d",i);*/
           cutl(strd,strc,strb,'V');
           ks++; /**< Number of simple covariates */
           cptcovn++;
           Tvar[k]=atoi(strd);
         }
         strcpy(modelsav,stra);  /* modelsav=V2+V1+V4 stra=V2+V1+V4 */ 
         /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);
           scanf("%d",i);*/
       } /* end of loop + */
     } /* end model */
     
     /*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products.
       If model=V1+V1*age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0*/
   
     /* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]);
     printf("cptcovprod=%d ", cptcovprod);
     fprintf(ficlog,"cptcovprod=%d ", cptcovprod);
   
     scanf("%d ",i);*/
   
   
     return (0); /* with covar[new additional covariate if product] and Tage if age */ 
     endread:
       printf("Exiting decodemodel: ");
       return (1);
   }
   
   calandcheckages(int imx, int maxwav, double *agemin, double *agemax, int *nberr, int *nbwarn )
   {
     int i, m;
   
     for (i=1; i<=imx; i++) {
       for(m=2; (m<= maxwav); m++) {
         if (((int)mint[m][i]== 99) && (s[m][i] <= nlstate)){
           anint[m][i]=9999;
           s[m][i]=-1;
         }
         if((int)moisdc[i]==99 && (int)andc[i]==9999 && s[m][i]>nlstate){
           *nberr++;
           printf("Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
           fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
           s[m][i]=-1;
         }
         if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){
           *nberr++;
           printf("Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]); 
           fprintf(ficlog,"Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]); 
           s[m][i]=-1; /* We prefer to skip it (and to skip it in version 0.8a1 too */
         }
       }
     }
   
     for (i=1; i<=imx; i++)  {
       agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);
       for(m=firstpass; (m<= lastpass); m++){
         if(s[m][i] >0 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5){
           if (s[m][i] >= nlstate+1) {
             if(agedc[i]>0)
               if((int)moisdc[i]!=99 && (int)andc[i]!=9999)
                 agev[m][i]=agedc[i];
             /*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/
               else {
                 if ((int)andc[i]!=9999){
                   nbwarn++;
                   printf("Warning negative age at death: %ld line:%d\n",num[i],i);
                   fprintf(ficlog,"Warning negative age at death: %ld line:%d\n",num[i],i);
                   agev[m][i]=-1;
                 }
               }
           }
           else if(s[m][i] !=9){ /* Standard case, age in fractional
                                    years but with the precision of a month */
             agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);
             if((int)mint[m][i]==99 || (int)anint[m][i]==9999)
               agev[m][i]=1;
             else if(agev[m][i] < *agemin){ 
               *agemin=agev[m][i];
               printf(" Min anint[%d][%d]=%.2f annais[%d]=%.2f, agemin=%.2f\n",m,i,anint[m][i], i,annais[i], *agemin);
             }
             else if(agev[m][i] >*agemax){
               *agemax=agev[m][i];
               printf(" Max anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.2f\n",m,i,anint[m][i], i,annais[i], *agemax);
             }
             /*agev[m][i]=anint[m][i]-annais[i];*/
             /*     agev[m][i] = age[i]+2*m;*/
           }
           else { /* =9 */
             agev[m][i]=1;
             s[m][i]=-1;
           }
         }
         else /*= 0 Unknown */
           agev[m][i]=1;
       }
       
     }
     for (i=1; i<=imx; i++)  {
       for(m=firstpass; (m<=lastpass); m++){
         if (s[m][i] > (nlstate+ndeath)) {
           *nberr++;
           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);     
           return 1;
         }
       }
     }
   
     /*for (i=1; i<=imx; i++){
     for (m=firstpass; (m<lastpass); m++){
        printf("%ld %d %.lf %d %d\n", num[i],(covar[1][i]),agev[m][i],s[m][i],s[m+1][i]);
   }
   
   }*/
   
   
     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); 
   
     return (0);
     endread:
       printf("Exiting calandcheckages: ");
       return (1);
   }
   
   
   /***********************************************/
   /**************** Main Program *****************/
   /***********************************************/
   
   int main(int argc, char *argv[])
   {
   #ifdef GSL
     const gsl_multimin_fminimizer_type *T;
     size_t iteri = 0, it;
     int rval = GSL_CONTINUE;
     int status = GSL_SUCCESS;
     double ssval;
   #endif
     int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav);
     int i,j, k, n=MAXN,iter,m,size=100,cptcode, cptcod;
     int linei, month, year,iout;
     int jj, ll, li, lj, lk, imk;
     int numlinepar=0; /* Current linenumber of parameter file */
     int itimes;
     int NDIM=2;
     int vpopbased=0;
   
     char ca[32], cb[32], cc[32];
     /*  FILE *fichtm; *//* Html File */
     /* FILE *ficgp;*/ /*Gnuplot File */
     struct stat info;
     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 ***p3mat;
     double ***mobaverage;
     int *indx;
     char line[MAXLINE], linepar[MAXLINE];
     char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE],model[MAXLINE];
     char pathr[MAXLINE], pathimach[MAXLINE]; 
     char **bp, *tok, *val; /* pathtot */
     int firstobs=1, lastobs=10;
     int sdeb, sfin; /* Status at beginning and end */
     int c,  h , cpt,l;
     int ju,jl, mi;
     int i1,j1, jk,aa,bb, stepsize, ij;
     int jnais,jdc,jint4,jint1,jint2,jint3,*tab; 
     int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */
     int mobilav=0,popforecast=0;
     int hstepm, nhstepm;
     int agemortsup;
     float  sumlpop=0.;
     double jprev1=1, mprev1=1,anprev1=2000,jprev2=1, mprev2=1,anprev2=2000;
     double jpyram=1, mpyram=1,anpyram=2000,jpyram1=1, mpyram1=1,anpyram1=2000;
   
     double bage, fage, age, agelim, agebase;
     double ftolpl=FTOL;
     double **prlim;
     double ***param; /* Matrix of parameters */
     double  *p;
     double **matcov; /* Matrix of covariance */
     double ***delti3; /* Scale */
     double *delti; /* Scale */
     double ***eij, ***vareij;
     double **varpl; /* Variances of prevalence limits by age */
     double *epj, vepp;
     double kk1, kk2;
     double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;
     double **ximort;
     char *alph[]={"a","a","b","c","d","e"}, str[4]="1234";
     int *dcwave;
   
     char z[1]="c", occ;
   
     /*char  *strt;*/
     char strtend[80];
   
     long total_usecs;
    
   /*   setlocale (LC_ALL, ""); */
   /*   bindtextdomain (PACKAGE, LOCALEDIR); */
   /*   textdomain (PACKAGE); */
   /*   setlocale (LC_CTYPE, ""); */
   /*   setlocale (LC_MESSAGES, ""); */
   
     /*   gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */
     (void) gettimeofday(&start_time,&tzp);
     curr_time=start_time;
     tm = *localtime(&start_time.tv_sec);
     tmg = *gmtime(&start_time.tv_sec);
     strcpy(strstart,asctime(&tm));
   
   /*  printf("Localtime (at start)=%s",strstart); */
   /*  tp.tv_sec = tp.tv_sec +86400; */
   /*  tm = *localtime(&start_time.tv_sec); */
   /*   tmg.tm_year=tmg.tm_year +dsign*dyear; */
   /*   tmg.tm_mon=tmg.tm_mon +dsign*dmonth; */
   /*   tmg.tm_hour=tmg.tm_hour + 1; */
   /*   tp.tv_sec = mktime(&tmg); */
   /*   strt=asctime(&tmg); */
   /*   printf("Time(after) =%s",strstart);  */
   /*  (void) time (&time_value);
   *  printf("time=%d,t-=%d\n",time_value,time_value-86400);
   *  tm = *localtime(&time_value);
   *  strstart=asctime(&tm);
   *  printf("tim_value=%d,asctime=%s\n",time_value,strstart); 
   */
   
     nberr=0; /* Number of errors and warnings */
     nbwarn=0;
     getcwd(pathcd, size);
   
     printf("\n%s\n%s",version,fullversion);
     if(argc <=1){
       printf("\nEnter the parameter file name: ");
       fgets(pathr,FILENAMELENGTH,stdin);
       i=strlen(pathr);
       if(pathr[i-1]=='\n')
         pathr[i-1]='\0';
      for (tok = pathr; tok != NULL; ){
         printf("Pathr |%s|\n",pathr);
         while ((val = strsep(&tok, "\"" )) != NULL && *val == '\0');
         printf("val= |%s| pathr=%s\n",val,pathr);
       strcpy (pathtot, val);        strcpy (pathtot, val);
       if(pathr[0] == '\0') break; /* Dirty */        if(pathr[0] == '\0') break; /* Dirty */
     }      }
Line 4634  int main(int argc, char *argv[]) Line 5402  int main(int argc, char *argv[])
     ungetc(c,ficpar);      ungetc(c,ficpar);
     fgets(line, MAXLINE, ficpar);      fgets(line, MAXLINE, ficpar);
     numlinepar++;      numlinepar++;
     puts(line);      fputs(line,stdout);
     fputs(line,ficparo);      fputs(line,ficparo);
     fputs(line,ficlog);      fputs(line,ficlog);
   }    }
Line 4650  int main(int argc, char *argv[]) Line 5418  int main(int argc, char *argv[])
     ungetc(c,ficpar);      ungetc(c,ficpar);
     fgets(line, MAXLINE, ficpar);      fgets(line, MAXLINE, ficpar);
     numlinepar++;      numlinepar++;
     puts(line);      fputs(line, stdout);
       //puts(line);
     fputs(line,ficparo);      fputs(line,ficparo);
     fputs(line,ficlog);      fputs(line,ficlog);
   }    }
   ungetc(c,ficpar);    ungetc(c,ficpar);
   
         
   covar=matrix(0,NCOVMAX,1,n);     covar=matrix(0,NCOVMAX,1,n);  /**< used in readdata */
   cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement*/    cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn*/
   if (strlen(model)>1) cptcovn=nbocc(model,'+')+1;    /* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5
   /* where is ncovprod ?*/       v1+v2*age+v2*v3 makes cptcovn = 3
   ncovmodel=2+cptcovn; /*Number of variables = cptcovn + intercept + age : v1+v2+v3+v2*v4+v5*age makes 5+2=7*/    */
     if (strlen(model)>1) 
       ncovmodel=2+nbocc(model,'+')+1; /*Number of variables including intercept and age = cptcovn + intercept + age : v1+v2+v3+v2*v4+v5*age makes 5+2=7*/
     else
       ncovmodel=2;
   nvar=ncovmodel-1; /* Suppressing age as a basic covariate */    nvar=ncovmodel-1; /* Suppressing age as a basic covariate */
   nforce= (nlstate+ndeath-1)*nlstate; /* Number of forces ij from state i to j */    nforce= (nlstate+ndeath-1)*nlstate; /* Number of forces ij from state i to j */
   npar= nforce*ncovmodel; /* Number of parameters like aij*/    npar= nforce*ncovmodel; /* Number of parameters like aij*/
Line 4693  int main(int argc, char *argv[]) Line 5466  int main(int argc, char *argv[])
     matcov=matrix(1,npar,1,npar);      matcov=matrix(1,npar,1,npar);
   }    }
   else{    else{
     /* Read guess parameters */      /* Read guessed parameters */
     /* Reads comments: lines beginning with '#' */      /* 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);
       numlinepar++;        numlinepar++;
       puts(line);        fputs(line,stdout);
       fputs(line,ficparo);        fputs(line,ficparo);
       fputs(line,ficlog);        fputs(line,ficlog);
     }      }
Line 4742  run imach with mle=-1 to get a correct t Line 5515  run imach with mle=-1 to get a correct t
     }        }  
     fflush(ficlog);      fflush(ficlog);
   
       /* Reads scales values */
     p=param[1][1];      p=param[1][1];
           
     /* Reads comments: lines beginning with '#' */      /* Reads comments: lines beginning with '#' */
Line 4749  run imach with mle=-1 to get a correct t Line 5523  run imach with mle=-1 to get a correct t
       ungetc(c,ficpar);        ungetc(c,ficpar);
       fgets(line, MAXLINE, ficpar);        fgets(line, MAXLINE, ficpar);
       numlinepar++;        numlinepar++;
       puts(line);        fputs(line,stdout);
       fputs(line,ficparo);        fputs(line,ficparo);
       fputs(line,ficlog);        fputs(line,ficlog);
     }      }
Line 4763  run imach with mle=-1 to get a correct t Line 5537  run imach with mle=-1 to get a correct t
           exit(1);            exit(1);
         }          }
         printf("%1d%1d",i,j);          printf("%1d%1d",i,j);
         fprintf(ficparo,"%1d%1d",i1,j1);          fprintf(ficparo,"%1d%1d",i1,j1);
         fprintf(ficlog,"%1d%1d",i1,j1);          fprintf(ficlog,"%1d%1d",i1,j1);
         for(k=1; k<=ncovmodel;k++){          for(k=1; k<=ncovmodel;k++){
           fscanf(ficpar,"%le",&delti3[i][j][k]);            fscanf(ficpar,"%le",&delti3[i][j][k]);
           printf(" %le",delti3[i][j][k]);            printf(" %le",delti3[i][j][k]);
           fprintf(ficparo," %le",delti3[i][j][k]);            fprintf(ficparo," %le",delti3[i][j][k]);
           fprintf(ficlog," %le",delti3[i][j][k]);            fprintf(ficlog," %le",delti3[i][j][k]);
         }  
         fscanf(ficpar,"\n");  
         numlinepar++;  
         printf("\n");  
         fprintf(ficparo,"\n");  
         fprintf(ficlog,"\n");  
       }  
     }  
     fflush(ficlog);  
   
     delti=delti3[1][1];  
   
   
     /* free_ma3x(delti3,1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); */ /* Hasn't to to freed here otherwise delti is no more allocated */  
     
     /* Reads comments: lines beginning with '#' */  
     while((c=getc(ficpar))=='#' && c!= EOF){  
       ungetc(c,ficpar);  
       fgets(line, MAXLINE, ficpar);  
       numlinepar++;  
       puts(line);  
       fputs(line,ficparo);  
       fputs(line,ficlog);  
     }  
     ungetc(c,ficpar);  
     
     matcov=matrix(1,npar,1,npar);  
     for(i=1; i <=npar; i++)  
       for(j=1; j <=npar; j++) matcov[i][j]=0.;  
         
     for(i=1; i <=npar; i++){  
       fscanf(ficpar,"%s",&str);  
       if(mle==1)  
         printf("%s",str);  
       fprintf(ficlog,"%s",str);  
       fprintf(ficparo,"%s",str);  
       for(j=1; j <=i; j++){  
         fscanf(ficpar," %le",&matcov[i][j]);  
         if(mle==1){  
           printf(" %.5le",matcov[i][j]);  
         }  
         fprintf(ficlog," %.5le",matcov[i][j]);  
         fprintf(ficparo," %.5le",matcov[i][j]);  
       }  
       fscanf(ficpar,"\n");  
       numlinepar++;  
       if(mle==1)  
         printf("\n");  
       fprintf(ficlog,"\n");  
       fprintf(ficparo,"\n");  
     }  
     for(i=1; i <=npar; i++)  
       for(j=i+1;j<=npar;j++)  
         matcov[i][j]=matcov[j][i];  
       
     if(mle==1)  
       printf("\n");  
     fprintf(ficlog,"\n");  
       
     fflush(ficlog);  
       
     /*-------- Rewriting parameter file ----------*/  
     strcpy(rfileres,"r");    /* "Rparameterfile */  
     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);  
   }    /* End of mle != -3 */  
   
   /*-------- data file ----------*/  
   if((fic=fopen(datafile,"r"))==NULL)    {  
     printf("Problem while opening datafile: %s\n", datafile);goto end;  
     fprintf(ficlog,"Problem while opening datafile: %s\n", datafile);goto end;  
   }  
   
   n= lastobs;  
   severity = vector(1,maxwav);  
   outcome=imatrix(1,maxwav+1,1,n);  
   num=lvector(1,n);  
   moisnais=vector(1,n);  
   annais=vector(1,n);  
   moisdc=vector(1,n);  
   andc=vector(1,n);  
   agedc=vector(1,n);  
   cod=ivector(1,n);  
   weight=vector(1,n);  
   for(i=1;i<=n;i++) weight[i]=1.0; /* Equal weights, 1 by default */  
   mint=matrix(1,maxwav,1,n);  
   anint=matrix(1,maxwav,1,n);  
   s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */   
   tab=ivector(1,NCOVMAX);  
   ncodemax=ivector(1,8);  
   
   i=1;  
   linei=0;  
   while ((fgets(line, MAXLINE, fic) != NULL) &&((i >= firstobs) && (i <=lastobs))) {  
     linei=linei+1;  
     for(j=strlen(line); j>=0;j--){  /* Untabifies line */  
       if(line[j] == '\t')  
         line[j] = ' ';  
     }  
     for(j=strlen(line)-1; (line[j]==' ')||(line[j]==10)||(line[j]==13);j--){  
       ;  
     };  
     line[j+1]=0;  /* Trims blanks at end of line */  
     if(line[0]=='#'){  
       fprintf(ficlog,"Comment line\n%s\n",line);  
       printf("Comment line\n%s\n",line);  
       continue;  
     }  
     trimbb(linetmp,line); /* Trims multiple blanks in line */  
     for (j=0; line[j]!='\0';j++){  
       line[j]=linetmp[j];  
     }  
     
   
     for (j=maxwav;j>=1;j--){  
       cutv(stra, strb,line,' ');   
       if(strb[0]=='.') { /* Missing status */  
         lval=-1;  
       }else{  
         errno=0;  
         lval=strtol(strb,&endptr,10);   
       /*        if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/  
         if( strb[0]=='\0' || (*endptr != '\0')){  
           printf("Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,j,maxwav);  
           fprintf(ficlog,"Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog);  
           goto end;  
         }  
       }  
       s[j][i]=lval;  
         
       strcpy(line,stra);  
       cutv(stra, strb,line,' ');  
       if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){  
       }  
       else  if(iout=sscanf(strb,"%s.") != 0){  
         month=99;  
         year=9999;  
       }else{  
         printf("Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d.  Exiting.\n",strb, linei,i, line,j);  
         fprintf(ficlog,"Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d.  Exiting.\n",strb, linei,i, line,j);fflush(ficlog);  
         goto end;  
       }  
       anint[j][i]= (double) year;   
       mint[j][i]= (double)month;   
       strcpy(line,stra);  
     } /* ENd Waves */  
       
     cutv(stra, strb,line,' ');   
     if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){  
     }  
     else  if(iout=sscanf(strb,"%s.",dummy) != 0){  
       month=99;  
       year=9999;  
     }else{  
       printf("Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of death (mm/yyyy or .).  Exiting.\n",strb, linei,i,line);  
         fprintf(ficlog,"Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of death (mm/yyyy or .).  Exiting.\n",strb, linei,i,line);fflush(ficlog);  
         goto end;  
     }  
     andc[i]=(double) year;   
     moisdc[i]=(double) month;   
     strcpy(line,stra);  
       
     cutv(stra, strb,line,' ');   
     if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){  
     }  
     else  if(iout=sscanf(strb,"%s.") != 0){  
       month=99;  
       year=9999;  
     }else{  
       printf("Error reading data around '%s' at line number %ld %s for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .).  Exiting.\n",strb, linei,i,line,j);  
       fprintf(ficlog,"Error reading data around '%s' at line number %ld %s for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .).  Exiting.\n",strb, linei,i,line,j);fflush(ficlog);  
         goto end;  
     }  
     annais[i]=(double)(year);  
     moisnais[i]=(double)(month);   
     strcpy(line,stra);  
       
     cutv(stra, strb,line,' ');   
     errno=0;  
     dval=strtod(strb,&endptr);   
     if( strb[0]=='\0' || (*endptr != '\0')){  
       printf("Error reading data around '%f' at line number %ld, \"%s\" for individual %d\nShould be a weight.  Exiting.\n",dval, i,line,linei);  
       fprintf(ficlog,"Error reading data around '%f' at line number %ld, \"%s\" for individual %d\nShould be a weight.  Exiting.\n",dval, i,line,linei);  
       fflush(ficlog);  
       goto end;  
     }  
     weight[i]=dval;   
     strcpy(line,stra);  
       
     for (j=ncovcol;j>=1;j--){  
       cutv(stra, strb,line,' ');   
       if(strb[0]=='.') { /* Missing status */  
         lval=-1;  
       }else{  
         errno=0;  
         lval=strtol(strb,&endptr,10);   
         if( strb[0]=='\0' || (*endptr != '\0')){  
           printf("Error reading data around '%d' at line number %ld for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative).  Exiting.\n",lval, linei,i, line);  
           fprintf(ficlog,"Error reading data around '%d' at line number %ld for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative).  Exiting.\n",lval, linei,i, line);fflush(ficlog);  
           goto end;  
         }  
       }  
       if(lval <-1 || lval >1){  
         printf("Error reading data around '%d' at line number %ld for individual %d, '%s'\n \  
  Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \  
  for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \  
  For example, for multinomial values like 1, 2 and 3,\n \  
  build V1=0 V2=0 for the reference value (1),\n \  
         V1=1 V2=0 for (2) \n \  
  and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \  
  output of IMaCh is often meaningless.\n \  
  Exiting.\n",lval,linei, i,line,j);  
         fprintf(ficlog,"Error reading data around '%d' at line number %ld for individual %d, '%s'\n \  
  Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \  
  for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \  
  For example, for multinomial values like 1, 2 and 3,\n \  
  build V1=0 V2=0 for the reference value (1),\n \  
         V1=1 V2=0 for (2) \n \  
  and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \  
  output of IMaCh is often meaningless.\n \  
  Exiting.\n",lval,linei, i,line,j);fflush(ficlog);  
         goto end;  
       }  
       covar[j][i]=(double)(lval);  
       strcpy(line,stra);  
     }    
     lstra=strlen(stra);  
        
     if(lstra > 9){ /* More than 2**32 or max of what printf can write with %ld */  
       stratrunc = &(stra[lstra-9]);  
       num[i]=atol(stratrunc);  
     }  
     else  
       num[i]=atol(stra);  
     /*if((s[2][i]==2) && (s[3][i]==-1)&&(s[4][i]==9)){  
       printf("%ld %.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;  
   } /* End loop reading  data */  
   fclose(fic);  
   /* printf("ii=%d", ij);  
      scanf("%d",i);*/  
   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("%ld %.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]));}*/  
     
   /* for (i=1; i<=imx; i++) */  
    
    /*if ((s[3][i]==3) ||  (s[4][i]==3)) weight[i]=0.08;  
      else weight[i]=1;*/  
   
   /* Calculation of the number of parameters from char model */  
   Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. Stores the number n of the covariates in Vm+Vn at 1 and m at 2 */  
   Tprod=ivector(1,15);   
   Tvaraff=ivector(1,15);   
   Tvard=imatrix(1,15,1,2);  
   Tage=ivector(1,15);        
      
   if (strlen(model) >1){ /* If there is at least 1 covariate */  
     j=0, j1=0, k1=1, k2=1;  
     j=nbocc(model,'+'); /* j=Number of '+' */  
     j1=nbocc(model,'*'); /* j1=Number of '*' */  
     cptcovn=j+1; /* Number of covariates V1+V2+V3 =>2+1=3 */  
     cptcovprod=j1; /*Number of products  V1*V2 =1 */  
       
     strcpy(modelsav,model);   
     if ((strcmp(model,"age")==0) || (strcmp(model,"age*age")==0)){  
       printf("Error. Non available option model=%s ",model);  
       fprintf(ficlog,"Error. Non available option model=%s ",model);fflush(ficlog);  
       goto end;  
     }  
       
     /* This loop fills the array Tvar from the string 'model'.*/  
     /* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */  
     for(i=(j+1); i>=1;i--){  
       cutv(stra,strb,modelsav,'+'); /* keeps in strb after the first '+'   
                                      modelsav=V2+V3*age+V1+V4 strb=V3*age+V1+V4   
                                      stra=V2  
                                     */   
       if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */  
       /*      printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/  
       /*scanf("%d",i);*/  
       if (strchr(strb,'*')) {  /* Model includes a product V1+V3*age+V2 strb=V3*age*/  
         cutv(strd,strc,strb,'*'); /* strd*strc  Vm*Vn: V3*age strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 */  
         if (strcmp(strc,"age")==0) { /* Vn*age */  
           cptcovprod--;  
           cutv(strb,stre,strd,'V');  
           Tvar[i]=atoi(stre);  /* V1+V3*age+V2 Tvar[2]=3 */  
           cptcovage++; /* Sums the number of covariates including age as a product */  
           Tage[cptcovage]=i;  /* Tage[1] =2 */  
           /*printf("stre=%s ", stre);*/  
         }  
         else if (strcmp(strd,"age")==0) { /* or age*Vn */  
           cptcovprod--;  
           cutv(strb,stre,strc,'V');  
           Tvar[i]=atoi(stre);  
           cptcovage++;  
           Tage[cptcovage]=i;  
         }  
         else {  /* Age is not in the model V1+V3*V2+V2  strb=V3*V2*/  
           cutv(strb,stre,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/  
           Tvar[i]=ncovcol+k1;  /* find 'n' in Vn and stores in Tvar.   
                                   If already ncovcol=2 and model=V2*V1 Tvar[1]=2+1 and Tvar[2]=2+2 etc */  
           cutv(strb,strc,strd,'V'); /* strd was Vm, strc is m */  
           Tprod[k1]=i;  /* Tprod[1]  */  
           Tvard[k1][1]=atoi(strc); /* m*/  
           Tvard[k1][2]=atoi(stre); /* n */  
           Tvar[cptcovn+k2]=Tvard[k1][1];  
           Tvar[cptcovn+k2+1]=Tvard[k1][2];   
           for (k=1; k<=lastobs;k++)   
             covar[ncovcol+k1][k]=covar[atoi(stre)][k]*covar[atoi(strc)][k];  
           k1++;  
           k2=k2+2;  
         }          }
           fscanf(ficpar,"\n");
           numlinepar++;
           printf("\n");
           fprintf(ficparo,"\n");
           fprintf(ficlog,"\n");
       }        }
       else { /* no more sum */      }
         /*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/      fflush(ficlog);
        /*  scanf("%d",i);*/  
       cutv(strd,strc,strb,'V');  
       Tvar[i]=atoi(strc);  
       }  
       strcpy(modelsav,stra);  /* modelsav=V2+V3*age+V1+V4 strb=V3*age+V1+V4 */   
       /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);  
         scanf("%d",i);*/  
     } /* end of loop + */  
   } /* end model */  
     
   /*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products.  
     If model=V1+V1*age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0*/  
   
   /* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]);  
   printf("cptcovprod=%d ", cptcovprod);  
   fprintf(ficlog,"cptcovprod=%d ", cptcovprod);  
   
   scanf("%d ",i);*/      /* Reads covariance matrix */
       delti=delti3[1][1];
   
     /*  if(mle==1){*/  
   if (weightopt != 1) { /* Maximisation without weights*/  
     for(i=1;i<=n;i++) weight[i]=1.0;  
   }  
     /*-calculation of age at interview from date of interview and age at death -*/  
   agev=matrix(1,maxwav,1,imx);  
   
   for (i=1; i<=imx; i++) {      /* free_ma3x(delti3,1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); */ /* Hasn't to to freed here otherwise delti is no more allocated */
     for(m=2; (m<= maxwav); m++) {    
       if (((int)mint[m][i]== 99) && (s[m][i] <= nlstate)){      /* Reads comments: lines beginning with '#' */
         anint[m][i]=9999;      while((c=getc(ficpar))=='#' && c!= EOF){
         s[m][i]=-1;        ungetc(c,ficpar);
       }        fgets(line, MAXLINE, ficpar);
       if((int)moisdc[i]==99 && (int)andc[i]==9999 && s[m][i]>nlstate){        numlinepar++;
         nberr++;        fputs(line,stdout);
         printf("Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);        fputs(line,ficparo);
         fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);        fputs(line,ficlog);
         s[m][i]=-1;  
       }  
       if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){  
         nberr++;  
         printf("Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]);   
         fprintf(ficlog,"Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]);   
         s[m][i]=-1; /* We prefer to skip it (and to skip it in version 0.8a1 too */  
       }  
     }      }
   }      ungetc(c,ficpar);
     
   for (i=1; i<=imx; i++)  {      matcov=matrix(1,npar,1,npar);
     agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);      for(i=1; i <=npar; i++)
     for(m=firstpass; (m<= lastpass); m++){        for(j=1; j <=npar; j++) matcov[i][j]=0.;
       if(s[m][i] >0 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5){        
         if (s[m][i] >= nlstate+1) {      for(i=1; i <=npar; i++){
           if(agedc[i]>0)        fscanf(ficpar,"%s",str);
             if((int)moisdc[i]!=99 && (int)andc[i]!=9999)        if(mle==1)
               agev[m][i]=agedc[i];          printf("%s",str);
           /*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/        fprintf(ficlog,"%s",str);
             else {        fprintf(ficparo,"%s",str);
               if ((int)andc[i]!=9999){        for(j=1; j <=i; j++){
                 nbwarn++;          fscanf(ficpar," %le",&matcov[i][j]);
                 printf("Warning negative age at death: %ld line:%d\n",num[i],i);          if(mle==1){
                 fprintf(ficlog,"Warning negative age at death: %ld line:%d\n",num[i],i);            printf(" %.5le",matcov[i][j]);
                 agev[m][i]=-1;  
               }  
             }  
         }  
         else if(s[m][i] !=9){ /* Standard case, age in fractional  
                                  years but with the precision of a month */  
           agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);  
           if((int)mint[m][i]==99 || (int)anint[m][i]==9999)  
             agev[m][i]=1;  
           else if(agev[m][i] <agemin){   
             agemin=agev[m][i];  
             /*printf(" Min anint[%d][%d]=%.2f annais[%d]=%.2f, agemin=%.2f\n",m,i,anint[m][i], i,annais[i], agemin);*/  
           }  
           else if(agev[m][i] >agemax){  
             agemax=agev[m][i];  
             /* printf(" anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.0f\n",m,i,anint[m][i], i,annais[i], agemax);*/  
           }  
           /*agev[m][i]=anint[m][i]-annais[i];*/  
           /*     agev[m][i] = age[i]+2*m;*/  
         }  
         else { /* =9 */  
           agev[m][i]=1;  
           s[m][i]=-1;  
         }          }
           fprintf(ficlog," %.5le",matcov[i][j]);
           fprintf(ficparo," %.5le",matcov[i][j]);
       }        }
       else /*= 0 Unknown */        fscanf(ficpar,"\n");
         agev[m][i]=1;        numlinepar++;
         if(mle==1)
           printf("\n");
         fprintf(ficlog,"\n");
         fprintf(ficparo,"\n");
     }      }
       for(i=1; i <=npar; i++)
         for(j=i+1;j<=npar;j++)
           matcov[i][j]=matcov[j][i];
           
   }      if(mle==1)
   for (i=1; i<=imx; i++)  {        printf("\n");
     for(m=firstpass; (m<=lastpass); m++){      fprintf(ficlog,"\n");
       if (s[m][i] > (nlstate+ndeath)) {      
         nberr++;      fflush(ficlog);
         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);           /*-------- Rewriting parameter file ----------*/
         goto end;      strcpy(rfileres,"r");    /* "Rparameterfile */
       }      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);
     }    /* End of mle != -3 */
   
   /*for (i=1; i<=imx; i++){  
   for (m=firstpass; (m<lastpass); m++){  
      printf("%ld %d %.lf %d %d\n", num[i],(covar[1][i]),agev[m][i],s[m][i],s[m+1][i]);  
 }  
   
 }*/    n= lastobs;
     num=lvector(1,n);
     moisnais=vector(1,n);
     annais=vector(1,n);
     moisdc=vector(1,n);
     andc=vector(1,n);
     agedc=vector(1,n);
     cod=ivector(1,n);
     weight=vector(1,n);
     for(i=1;i<=n;i++) weight[i]=1.0; /* Equal weights, 1 by default */
     mint=matrix(1,maxwav,1,n);
     anint=matrix(1,maxwav,1,n);
     s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */ 
     tab=ivector(1,NCOVMAX);
     ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */
   
     /* Reads data from file datafile */
     if (readdata(datafile, firstobs, lastobs, &imx)==1)
       goto end;
   
     /* Calculation of the number of parameters from char model */
       /*    modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4 
           k=4 (age*V3) Tvar[k=4]= 3 (from V3) Tag[cptcovage=1]=4
           k=3 V4 Tvar[k=3]= 4 (from V4)
           k=2 V1 Tvar[k=2]= 1 (from V1)
           k=1 Tvar[1]=2 (from V2)
       */
     Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */
     /*  V2+V1+V4+age*V3 is a model with 4 covariates (3 plus signs). 
         For each model-covariate stores the data-covariate id. Tvar[1]=2, Tvar[2]=1, Tvar[3]=4, 
         Tvar[4=age*V3] is 3 and 'age' is recorded in Tage.
     */
     /* For model-covariate k tells which data-covariate to use but
       because this model-covariate is a construction we invent a new column
       ncovcol + k1
       If already ncovcol=4 and model=V2+V1+V1*V4+age*V3
       Tvar[3=V1*V4]=4+1 etc */
     Tprod=ivector(1,NCOVMAX); /* Gives the position of a product */
     /* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3
        if  V2+V1+V1*V4+age*V3+V3*V2   TProd[k1=2]=5 (V3*V2)
     */
     Tvaraff=ivector(1,NCOVMAX); /* Unclear */
     Tvard=imatrix(1,NCOVMAX,1,2); /* n=Tvard[k1][1]  and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm
                               * For V3*V2 (in V2+V1+V1*V4+age*V3+V3*V2), V3*V2 position is 2nd. 
                               * Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */
     Tage=ivector(1,NCOVMAX); /* Gives the covariate id of covariates associated with age: V2 + V1 + age*V4 + V3*age
                            4 covariates (3 plus signs)
                            Tage[1=V3*age]= 4; Tage[2=age*V4] = 3
                         */  
   
     if(decodemodel(model, lastobs) == 1)
       goto end;
   
     if((double)(lastobs-imx)/(double)imx > 1.10){
       nbwarn++;
       printf("Warning: The value of parameter lastobs=%d is big compared to the \n  effective number of cases imx=%d, please adjust, \n  otherwise you are allocating more memory than necessary.\n",lastobs, imx); 
       fprintf(ficlog,"Warning: The value of parameter lastobs=%d is big compared to the \n  effective number of cases imx=%d, please adjust, \n  otherwise you are allocating more memory than necessary.\n",lastobs, imx); 
     }
       /*  if(mle==1){*/
     if (weightopt != 1) { /* Maximisation without weights. We can have weights different from 1 but want no weight*/
       for(i=1;i<=imx;i++) weight[i]=1.0; /* changed to imx */
     }
   
       /*-calculation of age at interview from date of interview and age at death -*/
     agev=matrix(1,maxwav,1,imx);
   
     if(calandcheckages(imx, maxwav, &agemin, &agemax, &nberr, &nbwarn) == 1)
       goto end;
   
   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);   
   
   agegomp=(int)agemin;    agegomp=(int)agemin;
   free_vector(severity,1,maxwav);  
   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);
     /* */
        
   wav=ivector(1,imx);    wav=ivector(1,imx);
   dh=imatrix(1,lastpass-firstpass+1,1,imx);    dh=imatrix(1,lastpass-firstpass+1,1,imx);
   bh=imatrix(1,lastpass-firstpass+1,1,imx);    bh=imatrix(1,lastpass-firstpass+1,1,imx);
Line 5231  run imach with mle=-1 to get a correct t Line 5705  run imach with mle=-1 to get a correct t
         
   /* Concatenates waves */    /* Concatenates waves */
   concatwav(wav, dh, bh, mw, s, agedc, agev,  firstpass, lastpass, imx, nlstate, stepm);    concatwav(wav, dh, bh, mw, s, agedc, agev,  firstpass, lastpass, imx, nlstate, stepm);
     /* */
    
   /* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */    /* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */
   
   nbcode=imatrix(0,NCOVMAX,0,NCOVMAX);     nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); 
   ncodemax[1]=1;    ncodemax[1]=1;
   if (cptcovn > 0) tricode(Tvar,nbcode,imx);    Ndum =ivector(-1,NCOVMAX);  
           if (ncovmodel > 2)
   codtab=imatrix(1,100,1,10); /* Cross tabulation to get the order of       tricode(Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */
                                  the estimations*/  
     codtab=imatrix(1,100,1,10); /* codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) */
     /*printf(" codtab[1,1],codtab[100,10]=%d,%d\n", codtab[1][1],codtab[100][10]);*/
   h=0;    h=0;
   
   
     /*if (cptcovn > 0) */
         
    
   m=pow(2,cptcoveff);    m=pow(2,cptcoveff);
     
   for(k=1;k<=cptcoveff; k++){ /* scans any effective covariate */    for(k=1;k<=cptcoveff; k++){ /* scans any effective covariate */
     for(i=1; i <=(m/pow(2,k));i++){ /* i=1 to 8/1=8; i=1 to 8/2=4; i=1 to 8/8=1 */       for(i=1; i <=pow(2,cptcoveff-k);i++){ /* i=1 to 8/1=8; i=1 to 8/2=4; i=1 to 8/8=1 */ 
       for(j=1; j <= ncodemax[k]; j++){ /* For each modality of this covariate */        for(j=1; j <= ncodemax[k]; j++){ /* For each modality of this covariate ncodemax=2*/
         for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){  /* cpt=1 to 8/2**(3+1-1 or 3+1-3) =1 or 4 */           for(cpt=1; cpt <=pow(2,k-1); cpt++){  /* cpt=1 to 8/2**(3+1-1 or 3+1-3) =1 or 4 */ 
           h++;            h++;
           if (h>m)             if (h>m) 
             h=1;codtab[h][k]=j;codtab[h][Tvar[k]]=j;              h=1;
             /**< codtab(h,k)  k   = codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) + 1
              *     h     1     2     3     4
              *______________________________  
              *     1 i=1 1 i=1 1 i=1 1 i=1 1
              *     2     2     1     1     1
              *     3 i=2 1     2     1     1
              *     4     2     2     1     1
              *     5 i=3 1 i=2 1     2     1
              *     6     2     1     2     1
              *     7 i=4 1     2     2     1
              *     8     2     2     2     1
              *     9 i=5 1 i=3 1 i=2 1     1
              *    10     2     1     1     1
              *    11 i=6 1     2     1     1
              *    12     2     2     1     1
              *    13 i=7 1 i=4 1     2     1    
              *    14     2     1     2     1
              *    15 i=8 1     2     2     1
              *    16     2     2     2     1
              */
             codtab[h][k]=j;
             /*codtab[h][Tvar[k]]=j;*/
           printf("h=%d k=%d j=%d codtab[h][k]=%d Tvar[k]=%d codtab[h][Tvar[k]]=%d \n",h, k,j,codtab[h][k],Tvar[k],codtab[h][Tvar[k]]);            printf("h=%d k=%d j=%d codtab[h][k]=%d Tvar[k]=%d codtab[h][Tvar[k]]=%d \n",h, k,j,codtab[h][k],Tvar[k],codtab[h][Tvar[k]]);
         }           } 
       }        }
Line 5264  run imach with mle=-1 to get a correct t Line 5768  run imach with mle=-1 to get a correct t
      printf("\n");       printf("\n");
      }       }
      scanf("%d",i);*/       scanf("%d",i);*/
   
    free_ivector(Ndum,-1,NCOVMAX);
   
   
           
   /*------------ gnuplot -------------*/    /*------------ gnuplot -------------*/
   strcpy(optionfilegnuplot,optionfilefiname);    strcpy(optionfilegnuplot,optionfilefiname);
Line 5277  run imach with mle=-1 to get a correct t Line 5785  run imach with mle=-1 to get a correct t
   else{    else{
     fprintf(ficgp,"\n# %s\n", version);       fprintf(ficgp,"\n# %s\n", version); 
     fprintf(ficgp,"# %s\n", optionfilegnuplot);       fprintf(ficgp,"# %s\n", optionfilegnuplot); 
     fprintf(ficgp,"set missing 'NaNq'\n");      //fprintf(ficgp,"set missing 'NaNq'\n");
       fprintf(ficgp,"set datafile missing 'NaNq'\n");
   }    }
   /*  fclose(ficgp);*/    /*  fclose(ficgp);*/
   /*--------- index.htm --------*/    /*--------- index.htm --------*/
Line 5347  Interval (in months) between two waves: Line 5856  Interval (in months) between two waves:
   globpr=0; /* To get the number ipmx of contributions and the sum of weights*/    globpr=0; /* To get the number ipmx of contributions and the sum of weights*/
   
   if (mle==-3){    if (mle==-3){
     ximort=matrix(1,NDIM,1,NDIM);      ximort=matrix(1,NDIM,1,NDIM); 
   /*     ximort=gsl_matrix_alloc(1,NDIM,1,NDIM); */
     cens=ivector(1,n);      cens=ivector(1,n);
     ageexmed=vector(1,n);      ageexmed=vector(1,n);
     agecens=vector(1,n);      agecens=vector(1,n);
Line 5385  Interval (in months) between two waves: Line 5895  Interval (in months) between two waves:
         ximort[i][j]=(i == j ? 1.0 : 0.0);          ximort[i][j]=(i == j ? 1.0 : 0.0);
     }      }
           
     p[1]=0.0268; p[NDIM]=0.083;      /*p[1]=0.0268; p[NDIM]=0.083;*/
     /*printf("%lf %lf", p[1], p[2]);*/      /*printf("%lf %lf", p[1], p[2]);*/
           
           
   #ifdef GSL
       printf("GSL optimization\n");  fprintf(ficlog,"Powell\n");
   #elsedef
     printf("Powell\n");  fprintf(ficlog,"Powell\n");      printf("Powell\n");  fprintf(ficlog,"Powell\n");
   #endif
     strcpy(filerespow,"pow-mort");       strcpy(filerespow,"pow-mort"); 
     strcat(filerespow,fileres);      strcat(filerespow,fileres);
     if((ficrespow=fopen(filerespow,"w"))==NULL) {      if((ficrespow=fopen(filerespow,"w"))==NULL) {
       printf("Problem with resultfile: %s\n", filerespow);        printf("Problem with resultfile: %s\n", filerespow);
       fprintf(ficlog,"Problem with resultfile: %s\n", filerespow);        fprintf(ficlog,"Problem with resultfile: %s\n", filerespow);
     }      }
   #ifdef GSL
       fprintf(ficrespow,"# GSL optimization\n# iter -2*LL");
   #elsedef
     fprintf(ficrespow,"# Powell\n# iter -2*LL");      fprintf(ficrespow,"# Powell\n# iter -2*LL");
   #endif
     /*  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++)
         if(j!=i)fprintf(ficrespow," p%1d%1d",i,j);          if(j!=i)fprintf(ficrespow," p%1d%1d",i,j);
     */      */
     fprintf(ficrespow,"\n");      fprintf(ficrespow,"\n");
   #ifdef GSL
       /* gsl starts here */ 
       T = gsl_multimin_fminimizer_nmsimplex;
       gsl_multimin_fminimizer *sfm = NULL;
       gsl_vector *ss, *x;
       gsl_multimin_function minex_func;
   
       /* Initial vertex size vector */
       ss = gsl_vector_alloc (NDIM);
       
       if (ss == NULL){
         GSL_ERROR_VAL ("failed to allocate space for ss", GSL_ENOMEM, 0);
       }
       /* Set all step sizes to 1 */
       gsl_vector_set_all (ss, 0.001);
   
       /* Starting point */
       
       x = gsl_vector_alloc (NDIM);
       
       if (x == NULL){
         gsl_vector_free(ss);
         GSL_ERROR_VAL ("failed to allocate space for x", GSL_ENOMEM, 0);
       }
     
       /* Initialize method and iterate */
       /*     p[1]=0.0268; p[NDIM]=0.083; */
   /*     gsl_vector_set(x, 0, 0.0268); */
   /*     gsl_vector_set(x, 1, 0.083); */
       gsl_vector_set(x, 0, p[1]);
       gsl_vector_set(x, 1, p[2]);
   
       minex_func.f = &gompertz_f;
       minex_func.n = NDIM;
       minex_func.params = (void *)&p; /* ??? */
           
     powell(p,ximort,NDIM,ftol,&iter,&fret,gompertz);      sfm = gsl_multimin_fminimizer_alloc (T, NDIM);
       gsl_multimin_fminimizer_set (sfm, &minex_func, x, ss);
       
       printf("Iterations beginning .....\n\n");
       printf("Iter. #    Intercept       Slope     -Log Likelihood     Simplex size\n");
   
       iteri=0;
       while (rval == GSL_CONTINUE){
         iteri++;
         status = gsl_multimin_fminimizer_iterate(sfm);
         
         if (status) printf("error: %s\n", gsl_strerror (status));
         fflush(0);
         
         if (status) 
           break;
         
         rval = gsl_multimin_test_size (gsl_multimin_fminimizer_size (sfm), 1e-6);
         ssval = gsl_multimin_fminimizer_size (sfm);
         
         if (rval == GSL_SUCCESS)
           printf ("converged to a local maximum at\n");
         
         printf("%5d ", iteri);
         for (it = 0; it < NDIM; it++){
           printf ("%10.5f ", gsl_vector_get (sfm->x, it));
         }
         printf("f() = %-10.5f ssize = %.7f\n", sfm->fval, ssval);
       }
       
       printf("\n\n Please note: Program should be run many times with varying starting points to detemine global maximum\n\n");
       
       gsl_vector_free(x); /* initial values */
       gsl_vector_free(ss); /* inital step size */
       for (it=0; it<NDIM; it++){
         p[it+1]=gsl_vector_get(sfm->x,it);
         fprintf(ficrespow," %.12lf", p[it]);
       }
       gsl_multimin_fminimizer_free (sfm); /* p *(sfm.x.data) et p *(sfm.x.data+1)  */
   #endif
   #ifdef POWELL
        powell(p,ximort,NDIM,ftol,&iter,&fret,gompertz);
   #endif  
     fclose(ficrespow);      fclose(ficrespow);
           
     hesscov(matcov, p, NDIM, delti, 1e-4, gompertz);       hesscov(matcov, p, NDIM, delti, 1e-4, gompertz); 
Line 5464  Interval (in months) between two waves: Line 6059  Interval (in months) between two waves:
     free_vector(lsurv,1,AGESUP);      free_vector(lsurv,1,AGESUP);
     free_vector(lpop,1,AGESUP);      free_vector(lpop,1,AGESUP);
     free_vector(tpop,1,AGESUP);      free_vector(tpop,1,AGESUP);
   #ifdef GSL
       free_ivector(cens,1,n);
       free_vector(agecens,1,n);
       free_ivector(dcwave,1,n);
       free_matrix(ximort,1,NDIM,1,NDIM);
   #endif
   } /* Endof if mle==-3 */    } /* Endof if mle==-3 */
       
   else{ /* For mle >=1 */    else{ /* For mle >=1 */
Line 5624  Interval (in months) between two waves: Line 6225  Interval (in months) between two waves:
     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);
       puts(line);        fputs(line,stdout);
       fputs(line,ficparo);        fputs(line,ficparo);
     }      }
     ungetc(c,ficpar);      ungetc(c,ficpar);
Line 5644  Interval (in months) between two waves: Line 6245  Interval (in months) between two waves:
     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);
       puts(line);        fputs(line,stdout);
       fputs(line,ficparo);        fputs(line,ficparo);
     }      }
     ungetc(c,ficpar);      ungetc(c,ficpar);
Line 5658  Interval (in months) between two waves: Line 6259  Interval (in months) between two waves:
     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);
       puts(line);        fputs(line,stdout);
       fputs(line,ficparo);        fputs(line,ficparo);
     }      }
     ungetc(c,ficpar);      ungetc(c,ficpar);
Line 5674  Interval (in months) between two waves: Line 6275  Interval (in months) between two waves:
     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);
       puts(line);        fputs(line,stdout);
       fputs(line,ficparo);        fputs(line,ficparo);
     }      }
     ungetc(c,ficpar);      ungetc(c,ficpar);
Line 5688  Interval (in months) between two waves: Line 6289  Interval (in months) between two waves:
           
           
           
     /*  freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint);*/       /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint); */
     /*,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/      /* ,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); */
           
     replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */      replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */
     printinggnuplot(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);      printinggnuplot(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);
Line 5714  Interval (in months) between two waves: Line 6315  Interval (in months) between two waves:
   
   
     /*--------------- Prevalence limit  (period or stable prevalence) --------------*/      /*--------------- Prevalence limit  (period or stable prevalence) --------------*/
     #include "prevlim.h"  /* Use ficrespl, ficlog */
     strcpy(filerespl,"pl");  
     strcat(filerespl,fileres);  
     if((ficrespl=fopen(filerespl,"w"))==NULL) {  
       printf("Problem with period (stable) prevalence resultfile: %s\n", filerespl);goto end;  
       fprintf(ficlog,"Problem with period (stable) prevalence resultfile: %s\n", filerespl);goto end;  
     }  
     printf("Computing period (stable) prevalence: result on file '%s' \n", filerespl);  
     fprintf(ficlog,"Computing period (stable) prevalence: result on file '%s' \n", filerespl);  
     pstamp(ficrespl);  
     fprintf(ficrespl,"# Period (stable) prevalence \n");  
     fprintf(ficrespl,"#Age ");  
     for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);  
     fprintf(ficrespl,"\n");  
     
     prlim=matrix(1,nlstate,1,nlstate);  
   
     agebase=ageminpar;  
     agelim=agemaxpar;  
     ftolpl=1.e-10;  
     i1=cptcoveff;  
     if (cptcovn < 1){i1=1;}  
   
     for(cptcov=1,k=0;cptcov<=i1;cptcov++){  
       for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){  
         k=k+1;  
         /* to clean */  
         printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,codtab[cptcod][cptcov],nbcode);  
         fprintf(ficrespl,"\n#******");  
         printf("\n#******");  
         fprintf(ficlog,"\n#******");  
         for(j=1;j<=cptcoveff;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");  
         printf("******\n");  
         fprintf(ficlog,"******\n");  
           
         for (age=agebase; age<=agelim; age++){  
           prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);  
           fprintf(ficrespl,"%.0f ",age );  
           for(j=1;j<=cptcoveff;j++)  
             fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);  
           for(i=1; i<=nlstate;i++)  
             fprintf(ficrespl," %.5f", prlim[i][i]);  
           fprintf(ficrespl,"\n");  
         }  
       }  
     }  
     fclose(ficrespl);      fclose(ficrespl);
   
     /*------------- h Pij x at various ages ------------*/  #ifdef FREEEXIT2
     #include "freeexit2.h"
     strcpy(filerespij,"pij");  strcat(filerespij,fileres);  #endif
     if((ficrespij=fopen(filerespij,"w"))==NULL) {  
       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);  
     fprintf(ficlog,"Computing pij: result on file '%s' \n", filerespij);  
     
     stepsize=(int) (stepm+YEARM-1)/YEARM;  
     /*if (stepm<=24) stepsize=2;*/  
   
     agelim=AGESUP;  
     hstepm=stepsize*YEARM; /* Every year of age */  
     hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */   
   
     /* hstepm=1;   aff par mois*/  
     pstamp(ficrespij);  
     fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x ");  
     for(cptcov=1,k=0;cptcov<=i1;cptcov++){  
       for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){  
         k=k+1;  
         fprintf(ficrespij,"\n#****** ");  
         for(j=1;j<=cptcoveff;j++)   
           fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);  
         fprintf(ficrespij,"******\n");  
           
         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 = nhstepm/hstepm; /* Typically 40/4=10 */  
   
           /*      nhstepm=nhstepm*YEARM; aff par mois*/  
   
           p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);      /*------------- h Pij x at various ages ------------*/
           oldm=oldms;savm=savms;  #include "hpijx.h"
           hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);        fclose(ficrespij);
           fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j=");  
           for(i=1; i<=nlstate;i++)  
             for(j=1; j<=nlstate+ndeath;j++)  
               fprintf(ficrespij," %1d-%1d",i,j);  
           fprintf(ficrespij,"\n");  
           for (h=0; h<=nhstepm; h++){  
             fprintf(ficrespij,"%d %3.f %3.f",k,agedeb, agedeb+ h*hstepm/YEARM*stepm );  
             for(i=1; i<=nlstate;i++)  
               for(j=1; j<=nlstate+ndeath;j++)  
                 fprintf(ficrespij," %.5f", p3mat[i][j][h]);  
             fprintf(ficrespij,"\n");  
           }  
           free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);  
           fprintf(ficrespij,"\n");  
         }  
       }  
     }  
   
     /*-------------- Variance of one-step probabilities---*/
       k=1;
     varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart);      varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart);
   
     fclose(ficrespij);  
   
     probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);      probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
     for(i=1;i<=AGESUP;i++)      for(i=1;i<=AGESUP;i++)
Line 5873  Interval (in months) between two waves: Line 6378  Interval (in months) between two waves:
     }      }
     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);      fprintf(ficlog,"Computing Health Expectancies: result on file '%s' \n", filerese);
     for(cptcov=1,k=0;cptcov<=i1;cptcov++){      /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
       for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){        for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
         k=k+1;             
       for (k=1; k <= (int) pow(2,cptcoveff); k++){
         fprintf(ficreseij,"\n#****** ");          fprintf(ficreseij,"\n#****** ");
         for(j=1;j<=cptcoveff;j++) {          for(j=1;j<=cptcoveff;j++) {
           fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);            fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
Line 5887  Interval (in months) between two waves: Line 6393  Interval (in months) between two waves:
         evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart);            evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart);  
               
         free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);          free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
       }        /*}*/
     }      }
     fclose(ficreseij);      fclose(ficreseij);
   
Line 5932  Interval (in months) between two waves: Line 6438  Interval (in months) between two waves:
     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);      fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
   
     for(cptcov=1,k=0;cptcov<=i1;cptcov++){      /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
       for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){        for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
         k=k+1;             
         fprintf(ficrest,"\n#****** ");      for (k=1; k <= (int) pow(2,cptcoveff); k++){
           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]]);
         fprintf(ficrest,"******\n");          fprintf(ficrest,"******\n");
Line 5957  Interval (in months) between two waves: Line 6464  Interval (in months) between two waves:
         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;
         cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart);            cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart);  
           /*
            */
           /* goto endfree; */
     
         vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);          vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
         pstamp(ficrest);          pstamp(ficrest);
   
   
         for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/          for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/
           oldm=oldms;savm=savms;            oldm=oldms;savm=savms; /* Segmentation fault */
           varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart);   fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n#  (weighted average of eij where weights are ");            varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart);
             fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n#  (weighted average of eij where weights are ");
           if(vpopbased==1)            if(vpopbased==1)
             fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);              fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);
           else            else
Line 6006  Interval (in months) between two waves: Line 6519  Interval (in months) between two waves:
         free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);          free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
         free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);          free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);
         free_vector(epj,1,nlstate+1);          free_vector(epj,1,nlstate+1);
       }        /*}*/
     }      }
     free_vector(weight,1,n);      free_vector(weight,1,n);
     free_imatrix(Tvard,1,15,1,2);      free_imatrix(Tvard,1,NCOVMAX,1,2);
     free_imatrix(s,1,maxwav+1,1,n);      free_imatrix(s,1,maxwav+1,1,n);
     free_matrix(anint,1,maxwav,1,n);       free_matrix(anint,1,maxwav,1,n); 
     free_matrix(mint,1,maxwav,1,n);      free_matrix(mint,1,maxwav,1,n);
Line 6031  Interval (in months) between two waves: Line 6544  Interval (in months) between two waves:
     }      }
     printf("Computing Variance-covariance of period (stable) prevalence: file '%s' \n", fileresvpl);      printf("Computing Variance-covariance of period (stable) prevalence: file '%s' \n", fileresvpl);
   
     for(cptcov=1,k=0;cptcov<=i1;cptcov++){      /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
       for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){        for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
         k=k+1;            
         fprintf(ficresvpl,"\n#****** ");      for (k=1; k <= (int) pow(2,cptcoveff); k++){
           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");
Line 6043  Interval (in months) between two waves: Line 6557  Interval (in months) between two waves:
         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,strstart);          varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k,strstart);
         free_matrix(varpl,1,nlstate,(int) bage, (int)fage);          free_matrix(varpl,1,nlstate,(int) bage, (int)fage);
       }        /*}*/
     }      }
   
     fclose(ficresvpl);      fclose(ficresvpl);
Line 6051  Interval (in months) between two waves: Line 6565  Interval (in months) between two waves:
     /*---------- End : free ----------------*/      /*---------- End : free ----------------*/
     if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);      if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
     free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);      free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
   
   }  /* mle==-3 arrives here for freeing */    }  /* mle==-3 arrives here for freeing */
  endfree:   endfree:
   free_matrix(prlim,1,nlstate,1,nlstate);      free_matrix(prlim,1,nlstate,1,nlstate); /*here or after loop ? */
     free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);      free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);
     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);
Line 6066  Interval (in months) between two waves: Line 6579  Interval (in months) between two waves:
     free_matrix(agev,1,maxwav,1,imx);      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);
   
     free_ivector(ncodemax,1,8);      free_ivector(ncodemax,1,NCOVMAX);
     free_ivector(Tvar,1,15);      free_ivector(Tvar,1,NCOVMAX);
     free_ivector(Tprod,1,15);      free_ivector(Tprod,1,NCOVMAX);
     free_ivector(Tvaraff,1,15);      free_ivector(Tvaraff,1,NCOVMAX);
     free_ivector(Tage,1,15);      free_ivector(Tage,1,NCOVMAX);
   
     free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX);      free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX);
     free_imatrix(codtab,1,100,1,10);      free_imatrix(codtab,1,100,1,10);
Line 6095  Interval (in months) between two waves: Line 6608  Interval (in months) between two waves:
   fprintf(ficlog,"Local time at start %s\nLocal time at end   %s\n",strstart, strtend);     fprintf(ficlog,"Local time at start %s\nLocal time at end   %s\n",strstart, strtend); 
   printf("Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));    printf("Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));
   
   printf("Total time was %d Sec.\n", end_time.tv_sec -start_time.tv_sec);    printf("Total time was %ld Sec.\n", end_time.tv_sec -start_time.tv_sec);
   fprintf(ficlog,"Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));    fprintf(ficlog,"Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));
   fprintf(ficlog,"Total time was %d Sec.\n", end_time.tv_sec -start_time.tv_sec);    fprintf(ficlog,"Total time was %ld Sec.\n", end_time.tv_sec -start_time.tv_sec);
   /*  printf("Total time was %d uSec.\n", total_usecs);*/    /*  printf("Total time was %d uSec.\n", total_usecs);*/
 /*   if(fileappend(fichtm,optionfilehtm)){ */  /*   if(fileappend(fichtm,optionfilehtm)){ */
   fprintf(fichtm,"<br>Local time at start %s<br>Local time at end   %s<br>\n</body></html>",strstart, strtend);    fprintf(fichtm,"<br>Local time at start %s<br>Local time at end   %s<br>\n</body></html>",strstart, strtend);

Removed from v.1.133  
changed lines
  Added in v.1.147


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