Diff for /imach/src/imach.c between versions 1.10 and 1.118

version 1.10, 2001/05/09 14:25:42 version 1.118, 2006/03/14 18:20:07
Line 1 Line 1
      /* $Id$
 /*********************** Imach **************************************            $State$
   This program computes Healthy Life Expectancies from cross-longitudinal    $Log$
   data. Cross-longitudinal consist in a first survey ("cross") where    Revision 1.118  2006/03/14 18:20:07  brouard
   individuals from different ages are interviewed on their health status    (Module): varevsij Comments added explaining the second
   or degree of  disability. At least a second wave of interviews    table of variances if popbased=1 .
   ("longitudinal") should  measure each new individual health status.    (Module): Covariances of eij, ekl added, graphs fixed, new html link.
   Health expectancies are computed from the transistions observed between    (Module): Function pstamp added
   waves and are computed for each degree of severity of disability (number    (Module): Version 0.98d
   of life states). More degrees you consider, more time is necessary to  
   reach the Maximum Likelihood of the parameters involved in the model.    Revision 1.117  2006/03/14 17:16:22  brouard
   The simplest model is the multinomial logistic model where pij is    (Module): varevsij Comments added explaining the second
   the probabibility to be observed in state j at the second wave conditional    table of variances if popbased=1 .
   to be observed in state i at the first wave. Therefore the model is:    (Module): Covariances of eij, ekl added, graphs fixed, new html link.
   log(pij/pii)= aij + bij*age+ cij*sex + etc , where 'age' is age and 'sex'    (Module): Function pstamp added
   is a covariate. If you want to have a more complex model than "constant and    (Module): Version 0.98d
   age", you should modify the program where the markup  
     *Covariates have to be included here again* invites you to do it.    Revision 1.116  2006/03/06 10:29:27  brouard
   More covariates you add, less is the speed of the convergence.    (Module): Variance-covariance wrong links and
     varian-covariance of ej. is needed (Saito).
   The advantage that this computer programme claims, comes from that if the  
   delay between waves is not identical for each individual, or if some    Revision 1.115  2006/02/27 12:17:45  brouard
   individual missed an interview, the information is not rounded or lost, but    (Module): One freematrix added in mlikeli! 0.98c
   taken into account using an interpolation or extrapolation.  
   hPijx is the probability to be    Revision 1.114  2006/02/26 12:57:58  brouard
   observed in state i at age x+h conditional to the observed state i at age    (Module): Some improvements in processing parameter
   x. The delay 'h' can be split into an exact number (nh*stepm) of    filename with strsep.
   unobserved intermediate  states. This elementary transition (by month or  
   quarter trimester, semester or year) is model as a multinomial logistic.    Revision 1.113  2006/02/24 14:20:24  brouard
   The hPx matrix is simply the matrix product of nh*stepm elementary matrices    (Module): Memory leaks checks with valgrind and:
   and the contribution of each individual to the likelihood is simply hPijx.    datafile was not closed, some imatrix were not freed and on matrix
     allocation too.
   Also this programme outputs the covariance matrix of the parameters but also  
   of the life expectancies. It also computes the prevalence limits.    Revision 1.112  2006/01/30 09:55:26  brouard
      (Module): Back to gnuplot.exe instead of wgnuplot.exe
   Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr).  
            Institut national d'études démographiques, Paris.    Revision 1.111  2006/01/25 20:38:18  brouard
   This software have been partly granted by Euro-REVES, a concerted action    (Module): Lots of cleaning and bugs added (Gompertz)
   from the European Union.    (Module): Comments can be added in data file. Missing date values
   It is copyrighted identically to a GNU software product, ie programme and    can be a simple dot '.'.
   software can be distributed freely for non commercial use. Latest version  
   can be accessed at http://euroreves.ined.fr/imach .    Revision 1.110  2006/01/25 00:51:50  brouard
   **********************************************************************/    (Module): Lots of cleaning and bugs added (Gompertz)
    
 #include <math.h>    Revision 1.109  2006/01/24 19:37:15  brouard
 #include <stdio.h>    (Module): Comments (lines starting with a #) are allowed in data.
 #include <stdlib.h>  
 #include <unistd.h>    Revision 1.108  2006/01/19 18:05:42  lievre
     Gnuplot problem appeared...
 #define MAXLINE 256    To be fixed
 #define FILENAMELENGTH 80  
 /*#define DEBUG*/    Revision 1.107  2006/01/19 16:20:37  brouard
 #define windows    Test existence of gnuplot in imach path
 #define GLOCK_ERROR_NOPATH              -1      /* empty path */  
 #define GLOCK_ERROR_GETCWD              -2      /* cannot get cwd */    Revision 1.106  2006/01/19 13:24:36  brouard
     Some cleaning and links added in html output
 #define MAXPARM 30 /* Maximum number of parameters for the optimization */  
 #define NPARMAX 64 /* (nlstate+ndeath-1)*nlstate*ncovmodel */    Revision 1.105  2006/01/05 20:23:19  lievre
     *** empty log message ***
 #define NINTERVMAX 8  
 #define NLSTATEMAX 8 /* Maximum number of live states (for func) */    Revision 1.104  2005/09/30 16:11:43  lievre
 #define NDEATHMAX 8 /* Maximum number of dead states (for func) */    (Module): sump fixed, loop imx fixed, and simplifications.
 #define NCOVMAX 8 /* Maximum number of covariates */    (Module): If the status is missing at the last wave but we know
 #define MAXN 20000    that the person is alive, then we can code his/her status as -2
 #define YEARM 12. /* Number of months per year */    (instead of missing=-1 in earlier versions) and his/her
 #define AGESUP 130    contributions to the likelihood is 1 - Prob of dying from last
 #define AGEBASE 40    health status (= 1-p13= p11+p12 in the easiest case of somebody in
     the healthy state at last known wave). Version is 0.98
   
 int nvar;    Revision 1.103  2005/09/30 15:54:49  lievre
 int cptcovn, cptcovage=0, cptcoveff=0,cptcov;    (Module): sump fixed, loop imx fixed, and simplifications.
 int npar=NPARMAX;  
 int nlstate=2; /* Number of live states */    Revision 1.102  2004/09/15 17:31:30  brouard
 int ndeath=1; /* Number of dead states */    Add the possibility to read data file including tab characters.
 int ncovmodel, ncov;     /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */  
     Revision 1.101  2004/09/15 10:38:38  brouard
 int *wav; /* Number of waves for this individuual 0 is possible */    Fix on curr_time
 int maxwav; /* Maxim number of waves */  
 int jmin, jmax; /* min, max spacing between 2 waves */    Revision 1.100  2004/07/12 18:29:06  brouard
 int mle, weightopt;    Add version for Mac OS X. Just define UNIX in Makefile
 int **mw; /* mw[mi][i] is number of the mi wave for this individual */  
 int **dh; /* dh[mi][i] is number of steps between mi,mi+1 for this individual */    Revision 1.99  2004/06/05 08:57:40  brouard
 double jmean; /* Mean space between 2 waves */    *** empty log message ***
 double **oldm, **newm, **savm; /* Working pointers to matrices */  
 double **oldms, **newms, **savms; /* Fixed working pointers to matrices */    Revision 1.98  2004/05/16 15:05:56  brouard
 FILE *fic,*ficpar, *ficparo,*ficres,  *ficrespl, *ficrespij, *ficrest;    New version 0.97 . First attempt to estimate force of mortality
 FILE *ficgp, *fichtm;    directly from the data i.e. without the need of knowing the health
 FILE *ficreseij;    state at each age, but using a Gompertz model: log u =a + b*age .
   char filerese[FILENAMELENGTH];    This is the basic analysis of mortality and should be done before any
  FILE  *ficresvij;    other analysis, in order to test if the mortality estimated from the
   char fileresv[FILENAMELENGTH];    cross-longitudinal survey is different from the mortality estimated
  FILE  *ficresvpl;    from other sources like vital statistic data.
   char fileresvpl[FILENAMELENGTH];  
     The same imach parameter file can be used but the option for mle should be -3.
 #define NR_END 1  
 #define FREE_ARG char*    Agnès, who wrote this part of the code, tried to keep most of the
 #define FTOL 1.0e-10    former routines in order to include the new code within the former code.
   
 #define NRANSI    The output is very simple: only an estimate of the intercept and of
 #define ITMAX 200    the slope with 95% confident intervals.
   
 #define TOL 2.0e-4    Current limitations:
     A) Even if you enter covariates, i.e. with the
 #define CGOLD 0.3819660    model= V1+V2 equation for example, the programm does only estimate a unique global model without covariates.
 #define ZEPS 1.0e-10    B) There is no computation of Life Expectancy nor Life Table.
 #define SHFT(a,b,c,d) (a)=(b);(b)=(c);(c)=(d);  
     Revision 1.97  2004/02/20 13:25:42  lievre
 #define GOLD 1.618034    Version 0.96d. Population forecasting command line is (temporarily)
 #define GLIMIT 100.0    suppressed.
 #define TINY 1.0e-20  
     Revision 1.96  2003/07/15 15:38:55  brouard
 static double maxarg1,maxarg2;    * imach.c (Repository): Errors in subdirf, 2, 3 while printing tmpout is
 #define FMAX(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)>(maxarg2)? (maxarg1):(maxarg2))    rewritten within the same printf. Workaround: many printfs.
 #define FMIN(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)<(maxarg2)? (maxarg1):(maxarg2))  
      Revision 1.95  2003/07/08 07:54:34  brouard
 #define SIGN(a,b) ((b)>0.0 ? fabs(a) : -fabs(a))    * imach.c (Repository):
 #define rint(a) floor(a+0.5)    (Repository): Using imachwizard code to output a more meaningful covariance
     matrix (cov(a12,c31) instead of numbers.
 static double sqrarg;  
 #define SQR(a) ((sqrarg=(a)) == 0.0 ? 0.0 :sqrarg*sqrarg)    Revision 1.94  2003/06/27 13:00:02  brouard
 #define SWAP(a,b) {temp=(a);(a)=(b);(b)=temp;}    Just cleaning
   
 int imx;    Revision 1.93  2003/06/25 16:33:55  brouard
 int stepm;    (Module): On windows (cygwin) function asctime_r doesn't
 /* Stepm, step in month: minimum step interpolation*/    exist so I changed back to asctime which exists.
     (Module): Version 0.96b
 int m,nb;  
 int *num, firstpass=0, lastpass=4,*cod, *ncodemax, *Tage;    Revision 1.92  2003/06/25 16:30:45  brouard
 double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint;    (Module): On windows (cygwin) function asctime_r doesn't
 double **pmmij;    exist so I changed back to asctime which exists.
   
 double *weight;    Revision 1.91  2003/06/25 15:30:29  brouard
 int **s; /* Status */    * imach.c (Repository): Duplicated warning errors corrected.
 double *agedc, **covar, idx;    (Repository): Elapsed time after each iteration is now output. It
 int **nbcode, *Tcode, *Tvar, **codtab, **Tvard, *Tprod, cptcovprod, *Tvaraff;    helps to forecast when convergence will be reached. Elapsed time
     is stamped in powell.  We created a new html file for the graphs
 double ftol=FTOL; /* Tolerance for computing Max Likelihood */    concerning matrix of covariance. It has extension -cov.htm.
 double ftolhess; /* Tolerance for computing hessian */  
     Revision 1.90  2003/06/24 12:34:15  brouard
 /**************** split *************************/    (Module): Some bugs corrected for windows. Also, when
 static  int split( char *path, char *dirc, char *name )    mle=-1 a template is output in file "or"mypar.txt with the design
 {    of the covariance matrix to be input.
    char *s;                             /* pointer */  
    int  l1, l2;                         /* length counters */    Revision 1.89  2003/06/24 12:30:52  brouard
     (Module): Some bugs corrected for windows. Also, when
    l1 = strlen( path );                 /* length of path */    mle=-1 a template is output in file "or"mypar.txt with the design
    if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH );    of the covariance matrix to be input.
    s = strrchr( path, '\\' );           /* find last / */  
    if ( s == NULL ) {                   /* no directory, so use current */    Revision 1.88  2003/06/23 17:54:56  brouard
 #if     defined(__bsd__)                /* get current working directory */    * imach.c (Repository): Create a sub-directory where all the secondary files are. Only imach, htm, gp and r(imach) are on the main directory. Correct time and other things.
       extern char       *getwd( );  
     Revision 1.87  2003/06/18 12:26:01  brouard
       if ( getwd( dirc ) == NULL ) {    Version 0.96
 #else  
       extern char       *getcwd( );    Revision 1.86  2003/06/17 20:04:08  brouard
     (Module): Change position of html and gnuplot routines and added
       if ( getcwd( dirc, FILENAME_MAX ) == NULL ) {    routine fileappend.
 #endif  
          return( GLOCK_ERROR_GETCWD );    Revision 1.85  2003/06/17 13:12:43  brouard
       }    * imach.c (Repository): Check when date of death was earlier that
       strcpy( name, path );             /* we've got it */    current date of interview. It may happen when the death was just
    } else {                             /* strip direcotry from path */    prior to the death. In this case, dh was negative and likelihood
       s++;                              /* after this, the filename */    was wrong (infinity). We still send an "Error" but patch by
       l2 = strlen( s );                 /* length of filename */    assuming that the date of death was just one stepm after the
       if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH );    interview.
       strcpy( name, s );                /* save file name */    (Repository): Because some people have very long ID (first column)
       strncpy( dirc, path, l1 - l2 );   /* now the directory */    we changed int to long in num[] and we added a new lvector for
       dirc[l1-l2] = 0;                  /* add zero */    memory allocation. But we also truncated to 8 characters (left
    }    truncation)
    l1 = strlen( dirc );                 /* length of directory */    (Repository): No more line truncation errors.
    if ( dirc[l1-1] != '\\' ) { dirc[l1] = '\\'; dirc[l1+1] = 0; }  
    return( 0 );                         /* we're done */    Revision 1.84  2003/06/13 21:44:43  brouard
 }    * imach.c (Repository): Replace "freqsummary" at a correct
     place. It differs from routine "prevalence" which may be called
     many times. Probs is memory consuming and must be used with
 /******************************************/    parcimony.
     Version 0.95a3 (should output exactly the same maximization than 0.8a2)
 void replace(char *s, char*t)  
 {    Revision 1.83  2003/06/10 13:39:11  lievre
   int i;    *** empty log message ***
   int lg=20;  
   i=0;    Revision 1.82  2003/06/05 15:57:20  brouard
   lg=strlen(t);    Add log in  imach.c and  fullversion number is now printed.
   for(i=0; i<= lg; i++) {  
     (s[i] = t[i]);  */
     if (t[i]== '\\') s[i]='/';  /*
   }     Interpolated Markov Chain
 }  
     Short summary of the programme:
 int nbocc(char *s, char occ)    
 {    This program computes Healthy Life Expectancies from
   int i,j=0;    cross-longitudinal data. Cross-longitudinal data consist in: -1- a
   int lg=20;    first survey ("cross") where individuals from different ages are
   i=0;    interviewed on their health status or degree of disability (in the
   lg=strlen(s);    case of a health survey which is our main interest) -2- at least a
   for(i=0; i<= lg; i++) {    second wave of interviews ("longitudinal") which measure each change
   if  (s[i] == occ ) j++;    (if any) in individual health status.  Health expectancies are
   }    computed from the time spent in each health state according to a
   return j;    model. More health states you consider, more time is necessary to reach the
 }    Maximum Likelihood of the parameters involved in the model.  The
     simplest model is the multinomial logistic model where pij is the
 void cutv(char *u,char *v, char*t, char occ)    probability to be observed in state j at the second wave
 {    conditional to be observed in state i at the first wave. Therefore
   int i,lg,j,p=0;    the model is: log(pij/pii)= aij + bij*age+ cij*sex + etc , where
   i=0;    'age' is age and 'sex' is a covariate. If you want to have a more
   for(j=0; j<=strlen(t)-1; j++) {    complex model than "constant and age", you should modify the program
     if((t[j]!= occ) && (t[j+1]== occ)) p=j+1;    where the markup *Covariates have to be included here again* invites
   }    you to do it.  More covariates you add, slower the
     convergence.
   lg=strlen(t);  
   for(j=0; j<p; j++) {    The advantage of this computer programme, compared to a simple
     (u[j] = t[j]);    multinomial logistic model, is clear when the delay between waves is not
   }    identical for each individual. Also, if a individual missed an
      u[p]='\0';    intermediate interview, the information is lost, but taken into
     account using an interpolation or extrapolation.  
    for(j=0; j<= lg; j++) {  
     if (j>=(p+1))(v[j-p-1] = t[j]);    hPijx is the probability to be observed in state i at age x+h
   }    conditional to the observed state i at age x. The delay 'h' can be
 }    split into an exact number (nh*stepm) of unobserved intermediate
     states. This elementary transition (by month, quarter,
 /********************** nrerror ********************/    semester or year) is modelled as a multinomial logistic.  The hPx
     matrix is simply the matrix product of nh*stepm elementary matrices
 void nrerror(char error_text[])    and the contribution of each individual to the likelihood is simply
 {    hPijx.
   fprintf(stderr,"ERREUR ...\n");  
   fprintf(stderr,"%s\n",error_text);    Also this programme outputs the covariance matrix of the parameters but also
   exit(1);    of the life expectancies. It also computes the period (stable) prevalence. 
 }    
 /*********************** vector *******************/    Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr).
 double *vector(int nl, int nh)             Institut national d'études démographiques, Paris.
 {    This software have been partly granted by Euro-REVES, a concerted action
   double *v;    from the European Union.
   v=(double *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(double)));    It is copyrighted identically to a GNU software product, ie programme and
   if (!v) nrerror("allocation failure in vector");    software can be distributed freely for non commercial use. Latest version
   return v-nl+NR_END;    can be accessed at http://euroreves.ined.fr/imach .
 }  
     Help to debug: LD_PRELOAD=/usr/local/lib/libnjamd.so ./imach foo.imach
 /************************ free vector ******************/    or better on gdb : set env LD_PRELOAD=/usr/local/lib/libnjamd.so
 void free_vector(double*v, int nl, int nh)    
 {    **********************************************************************/
   free((FREE_ARG)(v+nl-NR_END));  /*
 }    main
     read parameterfile
 /************************ivector *******************************/    read datafile
 int *ivector(long nl,long nh)    concatwav
 {    freqsummary
   int *v;    if (mle >= 1)
   v=(int *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(int)));      mlikeli
   if (!v) nrerror("allocation failure in ivector");    print results files
   return v-nl+NR_END;    if mle==1 
 }       computes hessian
     read end of parameter file: agemin, agemax, bage, fage, estepm
 /******************free ivector **************************/        begin-prev-date,...
 void free_ivector(int *v, long nl, long nh)    open gnuplot file
 {    open html file
   free((FREE_ARG)(v+nl-NR_END));    period (stable) prevalence
 }     for age prevalim()
     h Pij x
 /******************* imatrix *******************************/    variance of p varprob
 int **imatrix(long nrl, long nrh, long ncl, long nch)    forecasting if prevfcast==1 prevforecast call prevalence()
      /* allocate a int matrix with subscript range m[nrl..nrh][ncl..nch] */    health expectancies
 {    Variance-covariance of DFLE
   long i, nrow=nrh-nrl+1,ncol=nch-ncl+1;    prevalence()
   int **m;     movingaverage()
      varevsij() 
   /* allocate pointers to rows */    if popbased==1 varevsij(,popbased)
   m=(int **) malloc((size_t)((nrow+NR_END)*sizeof(int*)));    total life expectancies
   if (!m) nrerror("allocation failure 1 in matrix()");    Variance of period (stable) prevalence
   m += NR_END;   end
   m -= nrl;  */
    
    
   /* allocate rows and set pointers to them */  
   m[nrl]=(int *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(int)));   
   if (!m[nrl]) nrerror("allocation failure 2 in matrix()");  #include <math.h>
   m[nrl] += NR_END;  #include <stdio.h>
   m[nrl] -= ncl;  #include <stdlib.h>
    #include <string.h>
   for(i=nrl+1;i<=nrh;i++) m[i]=m[i-1]+ncol;  #include <unistd.h>
    
   /* return pointer to array of pointers to rows */  #include <limits.h>
   return m;  #include <sys/types.h>
 }  #include <sys/stat.h>
   #include <errno.h>
 /****************** free_imatrix *************************/  extern int errno;
 void free_imatrix(m,nrl,nrh,ncl,nch)  
       int **m;  /* #include <sys/time.h> */
       long nch,ncl,nrh,nrl;  #include <time.h>
      /* free an int matrix allocated by imatrix() */  #include "timeval.h"
 {  
   free((FREE_ARG) (m[nrl]+ncl-NR_END));  /* #include <libintl.h> */
   free((FREE_ARG) (m+nrl-NR_END));  /* #define _(String) gettext (String) */
 }  
   #define MAXLINE 256
 /******************* matrix *******************************/  
 double **matrix(long nrl, long nrh, long ncl, long nch)  #define GNUPLOTPROGRAM "gnuplot"
 {  /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/
   long i, nrow=nrh-nrl+1, ncol=nch-ncl+1;  #define FILENAMELENGTH 132
   double **m;  
   #define GLOCK_ERROR_NOPATH              -1      /* empty path */
   m=(double **) malloc((size_t)((nrow+NR_END)*sizeof(double*)));  #define GLOCK_ERROR_GETCWD              -2      /* cannot get cwd */
   if (!m) nrerror("allocation failure 1 in matrix()");  
   m += NR_END;  #define MAXPARM 30 /* Maximum number of parameters for the optimization */
   m -= nrl;  #define NPARMAX 64 /* (nlstate+ndeath-1)*nlstate*ncovmodel */
   
   m[nrl]=(double *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double)));  #define NINTERVMAX 8
   if (!m[nrl]) nrerror("allocation failure 2 in matrix()");  #define NLSTATEMAX 8 /* Maximum number of live states (for func) */
   m[nrl] += NR_END;  #define NDEATHMAX 8 /* Maximum number of dead states (for func) */
   m[nrl] -= ncl;  #define NCOVMAX 8 /* Maximum number of covariates */
   #define MAXN 20000
   for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;  #define YEARM 12. /* Number of months per year */
   return m;  #define AGESUP 130
 }  #define AGEBASE 40
   #define AGEGOMP 10. /* Minimal age for Gompertz adjustment */
 /*************************free matrix ************************/  #ifdef UNIX
 void free_matrix(double **m, long nrl, long nrh, long ncl, long nch)  #define DIRSEPARATOR '/'
 {  #define CHARSEPARATOR "/"
   free((FREE_ARG)(m[nrl]+ncl-NR_END));  #define ODIRSEPARATOR '\\'
   free((FREE_ARG)(m+nrl-NR_END));  #else
 }  #define DIRSEPARATOR '\\'
   #define CHARSEPARATOR "\\"
 /******************* ma3x *******************************/  #define ODIRSEPARATOR '/'
 double ***ma3x(long nrl, long nrh, long ncl, long nch, long nll, long nlh)  #endif
 {  
   long i, j, nrow=nrh-nrl+1, ncol=nch-ncl+1, nlay=nlh-nll+1;  /* $Id$ */
   double ***m;  /* $State$ */
   
   m=(double ***) malloc((size_t)((nrow+NR_END)*sizeof(double*)));  char version[]="Imach version 0.98d, March 2006, INED-EUROREVES-Institut de longevite ";
   if (!m) nrerror("allocation failure 1 in matrix()");  char fullversion[]="$Revision$ $Date$"; 
   m += NR_END;  char strstart[80];
   m -= nrl;  char optionfilext[10], optionfilefiname[FILENAMELENGTH];
   int erreur, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings  */
   m[nrl]=(double **) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double)));  int nvar;
   if (!m[nrl]) nrerror("allocation failure 2 in matrix()");  int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov;
   m[nrl] += NR_END;  int npar=NPARMAX;
   m[nrl] -= ncl;  int nlstate=2; /* Number of live states */
   int ndeath=1; /* Number of dead states */
   for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;  int ncovmodel, ncovcol;     /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */
   int popbased=0;
   m[nrl][ncl]=(double *) malloc((size_t)((nrow*ncol*nlay+NR_END)*sizeof(double)));  
   if (!m[nrl][ncl]) nrerror("allocation failure 3 in matrix()");  int *wav; /* Number of waves for this individuual 0 is possible */
   m[nrl][ncl] += NR_END;  int maxwav; /* Maxim number of waves */
   m[nrl][ncl] -= nll;  int jmin, jmax; /* min, max spacing between 2 waves */
   for (j=ncl+1; j<=nch; j++)  int ijmin, ijmax; /* Individuals having jmin and jmax */ 
     m[nrl][j]=m[nrl][j-1]+nlay;  int gipmx, gsw; /* Global variables on the number of contributions 
                       to the likelihood and the sum of weights (done by funcone)*/
   for (i=nrl+1; i<=nrh; i++) {  int mle, weightopt;
     m[i][ncl]=m[i-1l][ncl]+ncol*nlay;  int **mw; /* mw[mi][i] is number of the mi wave for this individual */
     for (j=ncl+1; j<=nch; j++)  int **dh; /* dh[mi][i] is number of steps between mi,mi+1 for this individual */
       m[i][j]=m[i][j-1]+nlay;  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. */
   return m;  double jmean; /* Mean space between 2 waves */
 }  double **oldm, **newm, **savm; /* Working pointers to matrices */
   double **oldms, **newms, **savms; /* Fixed working pointers to matrices */
 /*************************free ma3x ************************/  FILE *fic,*ficpar, *ficparo,*ficres, *ficresp, *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop;
 void free_ma3x(double ***m, long nrl, long nrh, long ncl, long nch,long nll, long nlh)  FILE *ficlog, *ficrespow;
 {  int globpr; /* Global variable for printing or not */
   free((FREE_ARG)(m[nrl][ncl]+ nll-NR_END));  double fretone; /* Only one call to likelihood */
   free((FREE_ARG)(m[nrl]+ncl-NR_END));  long ipmx; /* Number of contributions */
   free((FREE_ARG)(m+nrl-NR_END));  double sw; /* Sum of weights */
 }  char filerespow[FILENAMELENGTH];
   char fileresilk[FILENAMELENGTH]; /* File of individual contributions to the likelihood */
 /***************** f1dim *************************/  FILE *ficresilk;
 extern int ncom;  FILE *ficgp,*ficresprob,*ficpop, *ficresprobcov, *ficresprobcor;
 extern double *pcom,*xicom;  FILE *ficresprobmorprev;
 extern double (*nrfunc)(double []);  FILE *fichtm, *fichtmcov; /* Html File */
    FILE *ficreseij;
 double f1dim(double x)  char filerese[FILENAMELENGTH];
 {  FILE *ficresstdeij;
   int j;  char fileresstde[FILENAMELENGTH];
   double f;  FILE *ficrescveij;
   double *xt;  char filerescve[FILENAMELENGTH];
    FILE  *ficresvij;
   xt=vector(1,ncom);  char fileresv[FILENAMELENGTH];
   for (j=1;j<=ncom;j++) xt[j]=pcom[j]+x*xicom[j];  FILE  *ficresvpl;
   f=(*nrfunc)(xt);  char fileresvpl[FILENAMELENGTH];
   free_vector(xt,1,ncom);  char title[MAXLINE];
   return f;  char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH],  filerespl[FILENAMELENGTH];
 }  char plotcmd[FILENAMELENGTH], pplotcmd[FILENAMELENGTH];
   char tmpout[FILENAMELENGTH],  tmpout2[FILENAMELENGTH]; 
 /*****************brent *************************/  char command[FILENAMELENGTH];
 double brent(double ax, double bx, double cx, double (*f)(double), double tol,  double *xmin)  int  outcmd=0;
 {  
   int iter;  char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];
   double a,b,d,etemp;  
   double fu,fv,fw,fx;  char filelog[FILENAMELENGTH]; /* Log file */
   double ftemp;  char filerest[FILENAMELENGTH];
   double p,q,r,tol1,tol2,u,v,w,x,xm;  char fileregp[FILENAMELENGTH];
   double e=0.0;  char popfile[FILENAMELENGTH];
    
   a=(ax < cx ? ax : cx);  char optionfilegnuplot[FILENAMELENGTH], optionfilehtm[FILENAMELENGTH], optionfilehtmcov[FILENAMELENGTH] ;
   b=(ax > cx ? ax : cx);  
   x=w=v=bx;  struct timeval start_time, end_time, curr_time, last_time, forecast_time;
   fw=fv=fx=(*f)(x);  struct timezone tzp;
   for (iter=1;iter<=ITMAX;iter++) {  extern int gettimeofday();
     xm=0.5*(a+b);  struct tm tmg, tm, tmf, *gmtime(), *localtime();
     tol2=2.0*(tol1=tol*fabs(x)+ZEPS);  long time_value;
     /*          if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret)))*/  extern long time();
     printf(".");fflush(stdout);  char strcurr[80], strfor[80];
 #ifdef DEBUG  
     printf("br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);  char *endptr;
     /*          if ((fabs(x-xm) <= (tol2-0.5*(b-a)))||(2.0*fabs(fu-ftemp) <= ftol*1.e-2*(fabs(fu)+fabs(ftemp)))) { */  long lval;
 #endif  
     if (fabs(x-xm) <= (tol2-0.5*(b-a))){  #define NR_END 1
       *xmin=x;  #define FREE_ARG char*
       return fx;  #define FTOL 1.0e-10
     }  
     ftemp=fu;  #define NRANSI 
     if (fabs(e) > tol1) {  #define ITMAX 200 
       r=(x-w)*(fx-fv);  
       q=(x-v)*(fx-fw);  #define TOL 2.0e-4 
       p=(x-v)*q-(x-w)*r;  
       q=2.0*(q-r);  #define CGOLD 0.3819660 
       if (q > 0.0) p = -p;  #define ZEPS 1.0e-10 
       q=fabs(q);  #define SHFT(a,b,c,d) (a)=(b);(b)=(c);(c)=(d); 
       etemp=e;  
       e=d;  #define GOLD 1.618034 
       if (fabs(p) >= fabs(0.5*q*etemp) || p <= q*(a-x) || p >= q*(b-x))  #define GLIMIT 100.0 
         d=CGOLD*(e=(x >= xm ? a-x : b-x));  #define TINY 1.0e-20 
       else {  
         d=p/q;  static double maxarg1,maxarg2;
         u=x+d;  #define FMAX(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)>(maxarg2)? (maxarg1):(maxarg2))
         if (u-a < tol2 || b-u < tol2)  #define FMIN(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)<(maxarg2)? (maxarg1):(maxarg2))
           d=SIGN(tol1,xm-x);    
       }  #define SIGN(a,b) ((b)>0.0 ? fabs(a) : -fabs(a))
     } else {  #define rint(a) floor(a+0.5)
       d=CGOLD*(e=(x >= xm ? a-x : b-x));  
     }  static double sqrarg;
     u=(fabs(d) >= tol1 ? x+d : x+SIGN(tol1,d));  #define SQR(a) ((sqrarg=(a)) == 0.0 ? 0.0 :sqrarg*sqrarg)
     fu=(*f)(u);  #define SWAP(a,b) {temp=(a);(a)=(b);(b)=temp;} 
     if (fu <= fx) {  int agegomp= AGEGOMP;
       if (u >= x) a=x; else b=x;  
       SHFT(v,w,x,u)  int imx; 
         SHFT(fv,fw,fx,fu)  int stepm=1;
         } else {  /* Stepm, step in month: minimum step interpolation*/
           if (u < x) a=u; else b=u;  
           if (fu <= fw || w == x) {  int estepm;
             v=w;  /* Estepm, step in month to interpolate survival function in order to approximate Life Expectancy*/
             w=u;  
             fv=fw;  int m,nb;
             fw=fu;  long *num;
           } else if (fu <= fv || v == x || v == w) {  int firstpass=0, lastpass=4,*cod, *ncodemax, *Tage,*cens;
             v=u;  double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint;
             fv=fu;  double **pmmij, ***probs;
           }  double *ageexmed,*agecens;
         }  double dateintmean=0;
   }  
   nrerror("Too many iterations in brent");  double *weight;
   *xmin=x;  int **s; /* Status */
   return fx;  double *agedc, **covar, idx;
 }  int **nbcode, *Tcode, *Tvar, **codtab, **Tvard, *Tprod, cptcovprod, *Tvaraff;
   double *lsurv, *lpop, *tpop;
 /****************** mnbrak ***********************/  
   double ftol=FTOL; /* Tolerance for computing Max Likelihood */
 void mnbrak(double *ax, double *bx, double *cx, double *fa, double *fb, double *fc,  double ftolhess; /* Tolerance for computing hessian */
             double (*func)(double))  
 {  /**************** split *************************/
   double ulim,u,r,q, dum;  static  int split( char *path, char *dirc, char *name, char *ext, char *finame )
   double fu;  {
      /* From a file name with (full) path (either Unix or Windows) we extract the directory (dirc)
   *fa=(*func)(*ax);       the name of the file (name), its extension only (ext) and its first part of the name (finame)
   *fb=(*func)(*bx);    */ 
   if (*fb > *fa) {    char  *ss;                            /* pointer */
     SHFT(dum,*ax,*bx,dum)    int   l1, l2;                         /* length counters */
       SHFT(dum,*fb,*fa,dum)  
       }    l1 = strlen(path );                   /* length of path */
   *cx=(*bx)+GOLD*(*bx-*ax);    if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH );
   *fc=(*func)(*cx);    ss= strrchr( path, DIRSEPARATOR );            /* find last / */
   while (*fb > *fc) {    if ( ss == NULL ) {                   /* no directory, so determine current directory */
     r=(*bx-*ax)*(*fb-*fc);      strcpy( name, path );               /* we got the fullname name because no directory */
     q=(*bx-*cx)*(*fb-*fa);      /*if(strrchr(path, ODIRSEPARATOR )==NULL)
     u=(*bx)-((*bx-*cx)*q-(*bx-*ax)*r)/        printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/
       (2.0*SIGN(FMAX(fabs(q-r),TINY),q-r));      /* get current working directory */
     ulim=(*bx)+GLIMIT*(*cx-*bx);      /*    extern  char* getcwd ( char *buf , int len);*/
     if ((*bx-u)*(u-*cx) > 0.0) {      if ( getcwd( dirc, FILENAME_MAX ) == NULL ) {
       fu=(*func)(u);        return( GLOCK_ERROR_GETCWD );
     } else if ((*cx-u)*(u-ulim) > 0.0) {      }
       fu=(*func)(u);      /* got dirc from getcwd*/
       if (fu < *fc) {      printf(" DIRC = %s \n",dirc);
         SHFT(*bx,*cx,u,*cx+GOLD*(*cx-*bx))    } else {                              /* strip direcotry from path */
           SHFT(*fb,*fc,fu,(*func)(u))      ss++;                               /* after this, the filename */
           }      l2 = strlen( ss );                  /* length of filename */
     } else if ((u-ulim)*(ulim-*cx) >= 0.0) {      if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH );
       u=ulim;      strcpy( name, ss );         /* save file name */
       fu=(*func)(u);      strncpy( dirc, path, l1 - l2 );     /* now the directory */
     } else {      dirc[l1-l2] = 0;                    /* add zero */
       u=(*cx)+GOLD*(*cx-*bx);      printf(" DIRC2 = %s \n",dirc);
       fu=(*func)(u);    }
     }    /* We add a separator at the end of dirc if not exists */
     SHFT(*ax,*bx,*cx,u)    l1 = strlen( dirc );                  /* length of directory */
       SHFT(*fa,*fb,*fc,fu)    if( dirc[l1-1] != DIRSEPARATOR ){
       }      dirc[l1] =  DIRSEPARATOR;
 }      dirc[l1+1] = 0; 
       printf(" DIRC3 = %s \n",dirc);
 /*************** linmin ************************/    }
     ss = strrchr( name, '.' );            /* find last / */
 int ncom;    if (ss >0){
 double *pcom,*xicom;      ss++;
 double (*nrfunc)(double []);      strcpy(ext,ss);                     /* save extension */
        l1= strlen( name);
 void linmin(double p[], double xi[], int n, double *fret,double (*func)(double []))      l2= strlen(ss)+1;
 {      strncpy( finame, name, l1-l2);
   double brent(double ax, double bx, double cx,      finame[l1-l2]= 0;
                double (*f)(double), double tol, double *xmin);    }
   double f1dim(double x);  
   void mnbrak(double *ax, double *bx, double *cx, double *fa, double *fb,    return( 0 );                          /* we're done */
               double *fc, double (*func)(double));  }
   int j;  
   double xx,xmin,bx,ax;  
   double fx,fb,fa;  /******************************************/
    
   ncom=n;  void replace_back_to_slash(char *s, char*t)
   pcom=vector(1,n);  {
   xicom=vector(1,n);    int i;
   nrfunc=func;    int lg=0;
   for (j=1;j<=n;j++) {    i=0;
     pcom[j]=p[j];    lg=strlen(t);
     xicom[j]=xi[j];    for(i=0; i<= lg; i++) {
   }      (s[i] = t[i]);
   ax=0.0;      if (t[i]== '\\') s[i]='/';
   xx=1.0;    }
   mnbrak(&ax,&xx,&bx,&fa,&fx,&fb,f1dim);  }
   *fret=brent(ax,xx,bx,f1dim,TOL,&xmin);  
 #ifdef DEBUG  int nbocc(char *s, char occ)
   printf("retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);  {
 #endif    int i,j=0;
   for (j=1;j<=n;j++) {    int lg=20;
     xi[j] *= xmin;    i=0;
     p[j] += xi[j];    lg=strlen(s);
   }    for(i=0; i<= lg; i++) {
   free_vector(xicom,1,n);    if  (s[i] == occ ) j++;
   free_vector(pcom,1,n);    }
 }    return j;
   }
 /*************** powell ************************/  
 void powell(double p[], double **xi, int n, double ftol, int *iter, double *fret,  void cutv(char *u,char *v, char*t, char occ)
             double (*func)(double []))  {
 {    /* cuts string t into u and v where u ends before first occurence of char 'occ' 
   void linmin(double p[], double xi[], int n, double *fret,       and v starts after first occurence of char 'occ' : ex cutv(u,v,"abcdef2ghi2j",'2')
               double (*func)(double []));       gives u="abcedf" and v="ghi2j" */
   int i,ibig,j;    int i,lg,j,p=0;
   double del,t,*pt,*ptt,*xit;    i=0;
   double fp,fptt;    for(j=0; j<=strlen(t)-1; j++) {
   double *xits;      if((t[j]!= occ) && (t[j+1]== occ)) p=j+1;
   pt=vector(1,n);    }
   ptt=vector(1,n);  
   xit=vector(1,n);    lg=strlen(t);
   xits=vector(1,n);    for(j=0; j<p; j++) {
   *fret=(*func)(p);      (u[j] = t[j]);
   for (j=1;j<=n;j++) pt[j]=p[j];    }
   for (*iter=1;;++(*iter)) {       u[p]='\0';
     fp=(*fret);  
     ibig=0;     for(j=0; j<= lg; j++) {
     del=0.0;      if (j>=(p+1))(v[j-p-1] = t[j]);
     printf("\nPowell iter=%d -2*LL=%.12f",*iter,*fret);    }
     for (i=1;i<=n;i++)  }
       printf(" %d %.12f",i, p[i]);  
     printf("\n");  /********************** nrerror ********************/
     for (i=1;i<=n;i++) {  
       for (j=1;j<=n;j++) xit[j]=xi[j][i];  void nrerror(char error_text[])
       fptt=(*fret);  {
 #ifdef DEBUG    fprintf(stderr,"ERREUR ...\n");
       printf("fret=%lf \n",*fret);    fprintf(stderr,"%s\n",error_text);
 #endif    exit(EXIT_FAILURE);
       printf("%d",i);fflush(stdout);  }
       linmin(p,xit,n,fret,func);  /*********************** vector *******************/
       if (fabs(fptt-(*fret)) > del) {  double *vector(int nl, int nh)
         del=fabs(fptt-(*fret));  {
         ibig=i;    double *v;
       }    v=(double *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(double)));
 #ifdef DEBUG    if (!v) nrerror("allocation failure in vector");
       printf("%d %.12e",i,(*fret));    return v-nl+NR_END;
       for (j=1;j<=n;j++) {  }
         xits[j]=FMAX(fabs(p[j]-pt[j]),1.e-5);  
         printf(" x(%d)=%.12e",j,xit[j]);  /************************ free vector ******************/
       }  void free_vector(double*v, int nl, int nh)
       for(j=1;j<=n;j++)  {
         printf(" p=%.12e",p[j]);    free((FREE_ARG)(v+nl-NR_END));
       printf("\n");  }
 #endif  
     }  /************************ivector *******************************/
     if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) {  int *ivector(long nl,long nh)
 #ifdef DEBUG  {
       int k[2],l;    int *v;
       k[0]=1;    v=(int *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(int)));
       k[1]=-1;    if (!v) nrerror("allocation failure in ivector");
       printf("Max: %.12e",(*func)(p));    return v-nl+NR_END;
       for (j=1;j<=n;j++)  }
         printf(" %.12e",p[j]);  
       printf("\n");  /******************free ivector **************************/
       for(l=0;l<=1;l++) {  void free_ivector(int *v, long nl, long nh)
         for (j=1;j<=n;j++) {  {
           ptt[j]=p[j]+(p[j]-pt[j])*k[l];    free((FREE_ARG)(v+nl-NR_END));
           printf("l=%d j=%d ptt=%.12e, xits=%.12e, p=%.12e, xit=%.12e", l,j,ptt[j],xits[j],p[j],xit[j]);  }
         }  
         printf("func(ptt)=%.12e, deriv=%.12e\n",(*func)(ptt),(ptt[j]-p[j])/((*func)(ptt)-(*func)(p)));  /************************lvector *******************************/
       }  long *lvector(long nl,long nh)
 #endif  {
     long *v;
     v=(long *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(long)));
       free_vector(xit,1,n);    if (!v) nrerror("allocation failure in ivector");
       free_vector(xits,1,n);    return v-nl+NR_END;
       free_vector(ptt,1,n);  }
       free_vector(pt,1,n);  
       return;  /******************free lvector **************************/
     }  void free_lvector(long *v, long nl, long nh)
     if (*iter == ITMAX) nrerror("powell exceeding maximum iterations.");  {
     for (j=1;j<=n;j++) {    free((FREE_ARG)(v+nl-NR_END));
       ptt[j]=2.0*p[j]-pt[j];  }
       xit[j]=p[j]-pt[j];  
       pt[j]=p[j];  /******************* imatrix *******************************/
     }  int **imatrix(long nrl, long nrh, long ncl, long nch) 
     fptt=(*func)(ptt);       /* allocate a int matrix with subscript range m[nrl..nrh][ncl..nch] */ 
     if (fptt < fp) {  { 
       t=2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del)-del*SQR(fp-fptt);    long i, nrow=nrh-nrl+1,ncol=nch-ncl+1; 
       if (t < 0.0) {    int **m; 
         linmin(p,xit,n,fret,func);    
         for (j=1;j<=n;j++) {    /* allocate pointers to rows */ 
           xi[j][ibig]=xi[j][n];    m=(int **) malloc((size_t)((nrow+NR_END)*sizeof(int*))); 
           xi[j][n]=xit[j];    if (!m) nrerror("allocation failure 1 in matrix()"); 
         }    m += NR_END; 
 #ifdef DEBUG    m -= nrl; 
         printf("Direction changed  last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);    
         for(j=1;j<=n;j++)    
           printf(" %.12e",xit[j]);    /* allocate rows and set pointers to them */ 
         printf("\n");    m[nrl]=(int *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(int))); 
 #endif    if (!m[nrl]) nrerror("allocation failure 2 in matrix()"); 
       }    m[nrl] += NR_END; 
     }    m[nrl] -= ncl; 
   }    
 }    for(i=nrl+1;i<=nrh;i++) m[i]=m[i-1]+ncol; 
     
 /**** Prevalence limit ****************/    /* return pointer to array of pointers to rows */ 
     return m; 
 double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int ij)  } 
 {  
   /* Computes the prevalence limit in each live state at age x by left multiplying the unit  /****************** free_imatrix *************************/
      matrix by transitions matrix until convergence is reached */  void free_imatrix(m,nrl,nrh,ncl,nch)
         int **m;
   int i, ii,j,k;        long nch,ncl,nrh,nrl; 
   double min, max, maxmin, maxmax,sumnew=0.;       /* free an int matrix allocated by imatrix() */ 
   double **matprod2();  { 
   double **out, cov[NCOVMAX], **pmij();    free((FREE_ARG) (m[nrl]+ncl-NR_END)); 
   double **newm;    free((FREE_ARG) (m+nrl-NR_END)); 
   double agefin, delaymax=50 ; /* Max number of years to converge */  } 
   
   for (ii=1;ii<=nlstate+ndeath;ii++)  /******************* matrix *******************************/
     for (j=1;j<=nlstate+ndeath;j++){  double **matrix(long nrl, long nrh, long ncl, long nch)
       oldm[ii][j]=(ii==j ? 1.0 : 0.0);  {
     }    long i, nrow=nrh-nrl+1, ncol=nch-ncl+1;
     double **m;
    cov[1]=1.;  
      m=(double **) malloc((size_t)((nrow+NR_END)*sizeof(double*)));
  /* Even if hstepm = 1, at least one multiplication by the unit matrix */    if (!m) nrerror("allocation failure 1 in matrix()");
   for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){    m += NR_END;
     newm=savm;    m -= nrl;
     /* Covariates have to be included here again */  
      cov[2]=agefin;    m[nrl]=(double *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double)));
      if (!m[nrl]) nrerror("allocation failure 2 in matrix()");
       for (k=1; k<=cptcovn;k++) {    m[nrl] += NR_END;
         cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];    m[nrl] -= ncl;
         /*printf("ij=%d Tvar[k]=%d nbcode=%d cov=%lf\n",ij, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k]);*/  
       }    for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
       for (k=1; k<=cptcovage;k++)    return m;
         cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];    /* print *(*(m+1)+70) or print m[1][70]; print m+1 or print &(m[1]) 
       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]]];  }
   
       /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/  /*************************free matrix ************************/
       /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/  void free_matrix(double **m, long nrl, long nrh, long ncl, long nch)
   {
     out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);    free((FREE_ARG)(m[nrl]+ncl-NR_END));
     free((FREE_ARG)(m+nrl-NR_END));
     savm=oldm;  }
     oldm=newm;  
     maxmax=0.;  /******************* ma3x *******************************/
     for(j=1;j<=nlstate;j++){  double ***ma3x(long nrl, long nrh, long ncl, long nch, long nll, long nlh)
       min=1.;  {
       max=0.;    long i, j, nrow=nrh-nrl+1, ncol=nch-ncl+1, nlay=nlh-nll+1;
       for(i=1; i<=nlstate; i++) {    double ***m;
         sumnew=0;  
         for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];    m=(double ***) malloc((size_t)((nrow+NR_END)*sizeof(double*)));
         prlim[i][j]= newm[i][j]/(1-sumnew);    if (!m) nrerror("allocation failure 1 in matrix()");
         max=FMAX(max,prlim[i][j]);    m += NR_END;
         min=FMIN(min,prlim[i][j]);    m -= nrl;
       }  
       maxmin=max-min;    m[nrl]=(double **) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double)));
       maxmax=FMAX(maxmax,maxmin);    if (!m[nrl]) nrerror("allocation failure 2 in matrix()");
     }    m[nrl] += NR_END;
     if(maxmax < ftolpl){    m[nrl] -= ncl;
       return prlim;  
     }    for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
   }  
 }    m[nrl][ncl]=(double *) malloc((size_t)((nrow*ncol*nlay+NR_END)*sizeof(double)));
     if (!m[nrl][ncl]) nrerror("allocation failure 3 in matrix()");
 /*************** transition probabilities **********/    m[nrl][ncl] += NR_END;
     m[nrl][ncl] -= nll;
 double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate )    for (j=ncl+1; j<=nch; j++) 
 {      m[nrl][j]=m[nrl][j-1]+nlay;
   double s1, s2;    
   /*double t34;*/    for (i=nrl+1; i<=nrh; i++) {
   int i,j,j1, nc, ii, jj;      m[i][ncl]=m[i-1l][ncl]+ncol*nlay;
       for (j=ncl+1; j<=nch; j++) 
     for(i=1; i<= nlstate; i++){        m[i][j]=m[i][j-1]+nlay;
     for(j=1; j<i;j++){    }
       for (nc=1, s2=0.;nc <=ncovmodel; nc++){    return m; 
         /*s2 += param[i][j][nc]*cov[nc];*/    /*  gdb: p *(m+1) <=> p m[1] and p (m+1) <=> p (m+1) <=> p &(m[1])
         s2 += x[(i-1)*nlstate*ncovmodel+(j-1)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];             &(m[i][j][k]) <=> *((*(m+i) + j)+k)
         /*printf("Int j<i s1=%.17e, s2=%.17e\n",s1,s2);*/    */
       }  }
       ps[i][j]=s2;  
       /*printf("s1=%.17e, s2=%.17e\n",s1,s2);*/  /*************************free ma3x ************************/
     }  void free_ma3x(double ***m, long nrl, long nrh, long ncl, long nch,long nll, long nlh)
     for(j=i+1; j<=nlstate+ndeath;j++){  {
       for (nc=1, s2=0.;nc <=ncovmodel; nc++){    free((FREE_ARG)(m[nrl][ncl]+ nll-NR_END));
         s2 += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];    free((FREE_ARG)(m[nrl]+ncl-NR_END));
         /*printf("Int j>i s1=%.17e, s2=%.17e %lx %lx\n",s1,s2,s1,s2);*/    free((FREE_ARG)(m+nrl-NR_END));
       }  }
       ps[i][j]=s2;  
     }  /*************** function subdirf ***********/
   }  char *subdirf(char fileres[])
   for(i=1; i<= nlstate; i++){  {
      s1=0;    /* Caution optionfilefiname is hidden */
     for(j=1; j<i; j++)    strcpy(tmpout,optionfilefiname);
       s1+=exp(ps[i][j]);    strcat(tmpout,"/"); /* Add to the right */
     for(j=i+1; j<=nlstate+ndeath; j++)    strcat(tmpout,fileres);
       s1+=exp(ps[i][j]);    return tmpout;
     ps[i][i]=1./(s1+1.);  }
     for(j=1; j<i; j++)  
       ps[i][j]= exp(ps[i][j])*ps[i][i];  /*************** function subdirf2 ***********/
     for(j=i+1; j<=nlstate+ndeath; j++)  char *subdirf2(char fileres[], char *preop)
       ps[i][j]= exp(ps[i][j])*ps[i][i];  {
     /* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */    
   } /* end i */    /* Caution optionfilefiname is hidden */
     strcpy(tmpout,optionfilefiname);
   for(ii=nlstate+1; ii<= nlstate+ndeath; ii++){    strcat(tmpout,"/");
     for(jj=1; jj<= nlstate+ndeath; jj++){    strcat(tmpout,preop);
       ps[ii][jj]=0;    strcat(tmpout,fileres);
       ps[ii][ii]=1;    return tmpout;
     }  }
   }  
   /*************** function subdirf3 ***********/
   /*   for(ii=1; ii<= nlstate+ndeath; ii++){  char *subdirf3(char fileres[], char *preop, char *preop2)
     for(jj=1; jj<= nlstate+ndeath; jj++){  {
      printf("%lf ",ps[ii][jj]);    
    }    /* Caution optionfilefiname is hidden */
     printf("\n ");    strcpy(tmpout,optionfilefiname);
     }    strcat(tmpout,"/");
     printf("\n ");printf("%lf ",cov[2]);*/    strcat(tmpout,preop);
 /*    strcat(tmpout,preop2);
   for(i=1; i<= npar; i++) printf("%f ",x[i]);    strcat(tmpout,fileres);
   goto end;*/    return tmpout;
     return ps;  }
 }  
   /***************** f1dim *************************/
 /**************** Product of 2 matrices ******************/  extern int ncom; 
   extern double *pcom,*xicom;
 double **matprod2(double **out, double **in,long nrl, long nrh, long ncl, long nch, long ncolol, long ncoloh, double **b)  extern double (*nrfunc)(double []); 
 {   
   /* Computes the matric product of in(1,nrh-nrl+1)(1,nch-ncl+1) times  double f1dim(double x) 
      b(1,nch-ncl+1)(1,ncoloh-ncolol+1) into out(...) */  { 
   /* in, b, out are matrice of pointers which should have been initialized    int j; 
      before: only the contents of out is modified. The function returns    double f;
      a pointer to pointers identical to out */    double *xt; 
   long i, j, k;   
   for(i=nrl; i<= nrh; i++)    xt=vector(1,ncom); 
     for(k=ncolol; k<=ncoloh; k++)    for (j=1;j<=ncom;j++) xt[j]=pcom[j]+x*xicom[j]; 
       for(j=ncl,out[i][k]=0.; j<=nch; j++)    f=(*nrfunc)(xt); 
         out[i][k] +=in[i][j]*b[j][k];    free_vector(xt,1,ncom); 
     return f; 
   return out;  } 
 }  
   /*****************brent *************************/
   double brent(double ax, double bx, double cx, double (*f)(double), double tol,  double *xmin) 
 /************* Higher Matrix Product ***************/  { 
     int iter; 
 double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij )    double a,b,d,etemp;
 {    double fu,fv,fw,fx;
   /* Computes the transition matrix starting at age 'age' over 'nhstepm*hstepm*stepm' month    double ftemp;
      duration (i.e. until    double p,q,r,tol1,tol2,u,v,w,x,xm; 
      age (in years)  age+nhstepm*stepm/12) by multiplying nhstepm*hstepm matrices.    double e=0.0; 
      Output is stored in matrix po[i][j][h] for h every 'hstepm' step   
      (typically every 2 years instead of every month which is too big).    a=(ax < cx ? ax : cx); 
      Model is determined by parameters x and covariates have to be    b=(ax > cx ? ax : cx); 
      included manually here.    x=w=v=bx; 
     fw=fv=fx=(*f)(x); 
      */    for (iter=1;iter<=ITMAX;iter++) { 
       xm=0.5*(a+b); 
   int i, j, d, h, k;      tol2=2.0*(tol1=tol*fabs(x)+ZEPS); 
   double **out, cov[NCOVMAX];      /*          if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret)))*/
   double **newm;      printf(".");fflush(stdout);
       fprintf(ficlog,".");fflush(ficlog);
   /* Hstepm could be zero and should return the unit matrix */  #ifdef DEBUG
   for (i=1;i<=nlstate+ndeath;i++)      printf("br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);
     for (j=1;j<=nlstate+ndeath;j++){      fprintf(ficlog,"br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);
       oldm[i][j]=(i==j ? 1.0 : 0.0);      /*          if ((fabs(x-xm) <= (tol2-0.5*(b-a)))||(2.0*fabs(fu-ftemp) <= ftol*1.e-2*(fabs(fu)+fabs(ftemp)))) { */
       po[i][j][0]=(i==j ? 1.0 : 0.0);  #endif
     }      if (fabs(x-xm) <= (tol2-0.5*(b-a))){ 
   /* Even if hstepm = 1, at least one multiplication by the unit matrix */        *xmin=x; 
   for(h=1; h <=nhstepm; h++){        return fx; 
     for(d=1; d <=hstepm; d++){      } 
       newm=savm;      ftemp=fu;
       /* Covariates have to be included here again */      if (fabs(e) > tol1) { 
       cov[1]=1.;        r=(x-w)*(fx-fv); 
       cov[2]=age+((h-1)*hstepm + (d-1))*stepm/YEARM;        q=(x-v)*(fx-fw); 
       for (k=1; k<=cptcovn;k++) cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];        p=(x-v)*q-(x-w)*r; 
 for (k=1; k<=cptcovage;k++)        q=2.0*(q-r); 
         cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];        if (q > 0.0) p = -p; 
    for (k=1; k<=cptcovprod;k++)        q=fabs(q); 
         cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];        etemp=e; 
         e=d; 
         if (fabs(p) >= fabs(0.5*q*etemp) || p <= q*(a-x) || p >= q*(b-x)) 
       /*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/          d=CGOLD*(e=(x >= xm ? a-x : b-x)); 
       /*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*/        else { 
       out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath,          d=p/q; 
                    pmij(pmmij,cov,ncovmodel,x,nlstate));          u=x+d; 
       savm=oldm;          if (u-a < tol2 || b-u < tol2) 
       oldm=newm;            d=SIGN(tol1,xm-x); 
     }        } 
     for(i=1; i<=nlstate+ndeath; i++)      } else { 
       for(j=1;j<=nlstate+ndeath;j++) {        d=CGOLD*(e=(x >= xm ? a-x : b-x)); 
         po[i][j][h]=newm[i][j];      } 
         /*printf("i=%d j=%d h=%d po[i][j][h]=%f ",i,j,h,po[i][j][h]);      u=(fabs(d) >= tol1 ? x+d : x+SIGN(tol1,d)); 
          */      fu=(*f)(u); 
       }      if (fu <= fx) { 
   } /* end h */        if (u >= x) a=x; else b=x; 
   return po;        SHFT(v,w,x,u) 
 }          SHFT(fv,fw,fx,fu) 
           } else { 
             if (u < x) a=u; else b=u; 
 /*************** log-likelihood *************/            if (fu <= fw || w == x) { 
 double func( double *x)              v=w; 
 {              w=u; 
   int i, ii, j, k, mi, d, kk;              fv=fw; 
   double l, ll[NLSTATEMAX], cov[NCOVMAX];              fw=fu; 
   double **out;            } else if (fu <= fv || v == x || v == w) { 
   double sw; /* Sum of weights */              v=u; 
   double lli; /* Individual log likelihood */              fv=fu; 
   long ipmx;            } 
   /*extern weight */          } 
   /* We are differentiating ll according to initial status */    } 
   /*  for (i=1;i<=npar;i++) printf("%f ", x[i]);*/    nrerror("Too many iterations in brent"); 
   /*for(i=1;i<imx;i++)    *xmin=x; 
     printf(" %d\n",s[4][i]);    return fx; 
   */  } 
   cov[1]=1.;  
   /****************** mnbrak ***********************/
   for(k=1; k<=nlstate; k++) ll[k]=0.;  
   for (i=1,ipmx=0, sw=0.; i<=imx; i++){  void mnbrak(double *ax, double *bx, double *cx, double *fa, double *fb, double *fc, 
     for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];              double (*func)(double)) 
     for(mi=1; mi<= wav[i]-1; mi++){  { 
       for (ii=1;ii<=nlstate+ndeath;ii++)    double ulim,u,r,q, dum;
         for (j=1;j<=nlstate+ndeath;j++) oldm[ii][j]=(ii==j ? 1.0 : 0.0);    double fu; 
       for(d=0; d<dh[mi][i]; d++){   
         newm=savm;    *fa=(*func)(*ax); 
         cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;    *fb=(*func)(*bx); 
         for (kk=1; kk<=cptcovage;kk++) {    if (*fb > *fa) { 
           cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];      SHFT(dum,*ax,*bx,dum) 
         }        SHFT(dum,*fb,*fa,dum) 
                } 
         out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,    *cx=(*bx)+GOLD*(*bx-*ax); 
                      1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));    *fc=(*func)(*cx); 
         savm=oldm;    while (*fb > *fc) { 
         oldm=newm;      r=(*bx-*ax)*(*fb-*fc); 
              q=(*bx-*cx)*(*fb-*fa); 
              u=(*bx)-((*bx-*cx)*q-(*bx-*ax)*r)/ 
       } /* end mult */        (2.0*SIGN(FMAX(fabs(q-r),TINY),q-r)); 
            ulim=(*bx)+GLIMIT*(*cx-*bx); 
       lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);      if ((*bx-u)*(u-*cx) > 0.0) { 
       /* printf(" %f ",out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/        fu=(*func)(u); 
       ipmx +=1;      } else if ((*cx-u)*(u-ulim) > 0.0) { 
       sw += weight[i];        fu=(*func)(u); 
       ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;        if (fu < *fc) { 
     } /* end of wave */          SHFT(*bx,*cx,u,*cx+GOLD*(*cx-*bx)) 
   } /* end of individual */            SHFT(*fb,*fc,fu,(*func)(u)) 
             } 
   for(k=1,l=0.; k<=nlstate; k++) l += ll[k];      } else if ((u-ulim)*(ulim-*cx) >= 0.0) { 
   /* printf("l1=%f l2=%f ",ll[1],ll[2]); */        u=ulim; 
   l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */        fu=(*func)(u); 
   return -l;      } else { 
 }        u=(*cx)+GOLD*(*cx-*bx); 
         fu=(*func)(u); 
       } 
 /*********** Maximum Likelihood Estimation ***************/      SHFT(*ax,*bx,*cx,u) 
         SHFT(*fa,*fb,*fc,fu) 
 void mlikeli(FILE *ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (*func)(double []))        } 
 {  } 
   int i,j, iter;  
   double **xi,*delti;  /*************** linmin ************************/
   double fret;  
   xi=matrix(1,npar,1,npar);  int ncom; 
   for (i=1;i<=npar;i++)  double *pcom,*xicom;
     for (j=1;j<=npar;j++)  double (*nrfunc)(double []); 
       xi[i][j]=(i==j ? 1.0 : 0.0);   
   printf("Powell\n");  void linmin(double p[], double xi[], int n, double *fret,double (*func)(double [])) 
   powell(p,xi,npar,ftol,&iter,&fret,func);  { 
     double brent(double ax, double bx, double cx, 
    printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));                 double (*f)(double), double tol, double *xmin); 
   fprintf(ficres,"#Number of iterations = %d, -2 Log likelihood = %.12f ",iter,func(p));    double f1dim(double x); 
     void mnbrak(double *ax, double *bx, double *cx, double *fa, double *fb, 
 }                double *fc, double (*func)(double)); 
     int j; 
 /**** Computes Hessian and covariance matrix ***/    double xx,xmin,bx,ax; 
 void hesscov(double **matcov, double p[], int npar, double delti[], double ftolhess, double (*func)(double []))    double fx,fb,fa;
 {   
   double  **a,**y,*x,pd;    ncom=n; 
   double **hess;    pcom=vector(1,n); 
   int i, j,jk;    xicom=vector(1,n); 
   int *indx;    nrfunc=func; 
     for (j=1;j<=n;j++) { 
   double hessii(double p[], double delta, int theta, double delti[]);      pcom[j]=p[j]; 
   double hessij(double p[], double delti[], int i, int j);      xicom[j]=xi[j]; 
   void lubksb(double **a, int npar, int *indx, double b[]) ;    } 
   void ludcmp(double **a, int npar, int *indx, double *d) ;    ax=0.0; 
     xx=1.0; 
     mnbrak(&ax,&xx,&bx,&fa,&fx,&fb,f1dim); 
   hess=matrix(1,npar,1,npar);    *fret=brent(ax,xx,bx,f1dim,TOL,&xmin); 
   #ifdef DEBUG
   printf("\nCalculation of the hessian matrix. Wait...\n");    printf("retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);
   for (i=1;i<=npar;i++){    fprintf(ficlog,"retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);
     printf("%d",i);fflush(stdout);  #endif
     hess[i][i]=hessii(p,ftolhess,i,delti);    for (j=1;j<=n;j++) { 
     /*printf(" %f ",p[i]);*/      xi[j] *= xmin; 
   }      p[j] += xi[j]; 
     } 
   for (i=1;i<=npar;i++) {    free_vector(xicom,1,n); 
     for (j=1;j<=npar;j++)  {    free_vector(pcom,1,n); 
       if (j>i) {  } 
         printf(".%d%d",i,j);fflush(stdout);  
         hess[i][j]=hessij(p,delti,i,j);  char *asc_diff_time(long time_sec, char ascdiff[])
         hess[j][i]=hess[i][j];  {
       }    long sec_left, days, hours, minutes;
     }    days = (time_sec) / (60*60*24);
   }    sec_left = (time_sec) % (60*60*24);
   printf("\n");    hours = (sec_left) / (60*60) ;
     sec_left = (sec_left) %(60*60);
   printf("\nInverting the hessian to get the covariance matrix. Wait...\n");    minutes = (sec_left) /60;
      sec_left = (sec_left) % (60);
   a=matrix(1,npar,1,npar);    sprintf(ascdiff,"%d day(s) %d hour(s) %d minute(s) %d second(s)",days, hours, minutes, sec_left);  
   y=matrix(1,npar,1,npar);    return ascdiff;
   x=vector(1,npar);  }
   indx=ivector(1,npar);  
   for (i=1;i<=npar;i++)  /*************** powell ************************/
     for (j=1;j<=npar;j++) a[i][j]=hess[i][j];  void powell(double p[], double **xi, int n, double ftol, int *iter, double *fret, 
   ludcmp(a,npar,indx,&pd);              double (*func)(double [])) 
   { 
   for (j=1;j<=npar;j++) {    void linmin(double p[], double xi[], int n, double *fret, 
     for (i=1;i<=npar;i++) x[i]=0;                double (*func)(double [])); 
     x[j]=1;    int i,ibig,j; 
     lubksb(a,npar,indx,x);    double del,t,*pt,*ptt,*xit;
     for (i=1;i<=npar;i++){    double fp,fptt;
       matcov[i][j]=x[i];    double *xits;
     }    int niterf, itmp;
   }  
     pt=vector(1,n); 
   printf("\n#Hessian matrix#\n");    ptt=vector(1,n); 
   for (i=1;i<=npar;i++) {    xit=vector(1,n); 
     for (j=1;j<=npar;j++) {    xits=vector(1,n); 
       printf("%.3e ",hess[i][j]);    *fret=(*func)(p); 
     }    for (j=1;j<=n;j++) pt[j]=p[j]; 
     printf("\n");    for (*iter=1;;++(*iter)) { 
   }      fp=(*fret); 
       ibig=0; 
   /* Recompute Inverse */      del=0.0; 
   for (i=1;i<=npar;i++)      last_time=curr_time;
     for (j=1;j<=npar;j++) a[i][j]=matcov[i][j];      (void) gettimeofday(&curr_time,&tzp);
   ludcmp(a,npar,indx,&pd);      printf("\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret, curr_time.tv_sec-last_time.tv_sec, curr_time.tv_sec-start_time.tv_sec);fflush(stdout);
       /*    fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret, curr_time.tv_sec-last_time.tv_sec, curr_time.tv_sec-start_time.tv_sec);
   /*  printf("\n#Hessian matrix recomputed#\n");      fprintf(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tv_sec-start_time.tv_sec);
       */
   for (j=1;j<=npar;j++) {     for (i=1;i<=n;i++) {
     for (i=1;i<=npar;i++) x[i]=0;        printf(" %d %.12f",i, p[i]);
     x[j]=1;        fprintf(ficlog," %d %.12lf",i, p[i]);
     lubksb(a,npar,indx,x);        fprintf(ficrespow," %.12lf", p[i]);
     for (i=1;i<=npar;i++){      }
       y[i][j]=x[i];      printf("\n");
       printf("%.3e ",y[i][j]);      fprintf(ficlog,"\n");
     }      fprintf(ficrespow,"\n");fflush(ficrespow);
     printf("\n");      if(*iter <=3){
   }        tm = *localtime(&curr_time.tv_sec);
   */        strcpy(strcurr,asctime(&tm));
   /*       asctime_r(&tm,strcurr); */
   free_matrix(a,1,npar,1,npar);        forecast_time=curr_time; 
   free_matrix(y,1,npar,1,npar);        itmp = strlen(strcurr);
   free_vector(x,1,npar);        if(strcurr[itmp-1]=='\n')  /* Windows outputs with a new line */
   free_ivector(indx,1,npar);          strcurr[itmp-1]='\0';
   free_matrix(hess,1,npar,1,npar);        printf("\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,curr_time.tv_sec-last_time.tv_sec);
         fprintf(ficlog,"\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,curr_time.tv_sec-last_time.tv_sec);
         for(niterf=10;niterf<=30;niterf+=10){
 }          forecast_time.tv_sec=curr_time.tv_sec+(niterf-*iter)*(curr_time.tv_sec-last_time.tv_sec);
           tmf = *localtime(&forecast_time.tv_sec);
 /*************** hessian matrix ****************/  /*      asctime_r(&tmf,strfor); */
 double hessii( double x[], double delta, int theta, double delti[])          strcpy(strfor,asctime(&tmf));
 {          itmp = strlen(strfor);
   int i;          if(strfor[itmp-1]=='\n')
   int l=1, lmax=20;          strfor[itmp-1]='\0';
   double k1,k2;          printf("   - if your program needs %d iterations to converge, convergence will be \n   reached in %s i.e.\n   on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);
   double p2[NPARMAX+1];          fprintf(ficlog,"   - if your program needs %d iterations to converge, convergence will be \n   reached in %s i.e.\n   on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);
   double res;        }
   double delt, delts, nkhi=10.,nkhif=1., khi=1.e-4;      }
   double fx;      for (i=1;i<=n;i++) { 
   int k=0,kmax=10;        for (j=1;j<=n;j++) xit[j]=xi[j][i]; 
   double l1;        fptt=(*fret); 
   #ifdef DEBUG
   fx=func(x);        printf("fret=%lf \n",*fret);
   for (i=1;i<=npar;i++) p2[i]=x[i];        fprintf(ficlog,"fret=%lf \n",*fret);
   for(l=0 ; l <=lmax; l++){  #endif
     l1=pow(10,l);        printf("%d",i);fflush(stdout);
     delts=delt;        fprintf(ficlog,"%d",i);fflush(ficlog);
     for(k=1 ; k <kmax; k=k+1){        linmin(p,xit,n,fret,func); 
       delt = delta*(l1*k);        if (fabs(fptt-(*fret)) > del) { 
       p2[theta]=x[theta] +delt;          del=fabs(fptt-(*fret)); 
       k1=func(p2)-fx;          ibig=i; 
       p2[theta]=x[theta]-delt;        } 
       k2=func(p2)-fx;  #ifdef DEBUG
       /*res= (k1-2.0*fx+k2)/delt/delt; */        printf("%d %.12e",i,(*fret));
       res= (k1+k2)/delt/delt/2.; /* Divided by because L and not 2*L */        fprintf(ficlog,"%d %.12e",i,(*fret));
              for (j=1;j<=n;j++) {
 #ifdef DEBUG          xits[j]=FMAX(fabs(p[j]-pt[j]),1.e-5);
       printf("%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);          printf(" x(%d)=%.12e",j,xit[j]);
 #endif          fprintf(ficlog," x(%d)=%.12e",j,xit[j]);
       /*if(fabs(k1-2.0*fx+k2) <1.e-13){ */        }
       if((k1 <khi/nkhi/2.) || (k2 <khi/nkhi/2.)){        for(j=1;j<=n;j++) {
         k=kmax;          printf(" p=%.12e",p[j]);
       }          fprintf(ficlog," p=%.12e",p[j]);
       else if((k1 >khi/nkhif) || (k2 >khi/nkhif)){ /* Keeps lastvalue before 3.84/2 KHI2 5% 1d.f. */        }
         k=kmax; l=lmax*10.;        printf("\n");
       }        fprintf(ficlog,"\n");
       else if((k1 >khi/nkhi) || (k2 >khi/nkhi)){  #endif
         delts=delt;      } 
       }      if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) {
     }  #ifdef DEBUG
   }        int k[2],l;
   delti[theta]=delts;        k[0]=1;
   return res;        k[1]=-1;
          printf("Max: %.12e",(*func)(p));
 }        fprintf(ficlog,"Max: %.12e",(*func)(p));
         for (j=1;j<=n;j++) {
 double hessij( double x[], double delti[], int thetai,int thetaj)          printf(" %.12e",p[j]);
 {          fprintf(ficlog," %.12e",p[j]);
   int i;        }
   int l=1, l1, lmax=20;        printf("\n");
   double k1,k2,k3,k4,res,fx;        fprintf(ficlog,"\n");
   double p2[NPARMAX+1];        for(l=0;l<=1;l++) {
   int k;          for (j=1;j<=n;j++) {
             ptt[j]=p[j]+(p[j]-pt[j])*k[l];
   fx=func(x);            printf("l=%d j=%d ptt=%.12e, xits=%.12e, p=%.12e, xit=%.12e", l,j,ptt[j],xits[j],p[j],xit[j]);
   for (k=1; k<=2; k++) {            fprintf(ficlog,"l=%d j=%d ptt=%.12e, xits=%.12e, p=%.12e, xit=%.12e", l,j,ptt[j],xits[j],p[j],xit[j]);
     for (i=1;i<=npar;i++) p2[i]=x[i];          }
     p2[thetai]=x[thetai]+delti[thetai]/k;          printf("func(ptt)=%.12e, deriv=%.12e\n",(*func)(ptt),(ptt[j]-p[j])/((*func)(ptt)-(*func)(p)));
     p2[thetaj]=x[thetaj]+delti[thetaj]/k;          fprintf(ficlog,"func(ptt)=%.12e, deriv=%.12e\n",(*func)(ptt),(ptt[j]-p[j])/((*func)(ptt)-(*func)(p)));
     k1=func(p2)-fx;        }
    #endif
     p2[thetai]=x[thetai]+delti[thetai]/k;  
     p2[thetaj]=x[thetaj]-delti[thetaj]/k;  
     k2=func(p2)-fx;        free_vector(xit,1,n); 
          free_vector(xits,1,n); 
     p2[thetai]=x[thetai]-delti[thetai]/k;        free_vector(ptt,1,n); 
     p2[thetaj]=x[thetaj]+delti[thetaj]/k;        free_vector(pt,1,n); 
     k3=func(p2)-fx;        return; 
        } 
     p2[thetai]=x[thetai]-delti[thetai]/k;      if (*iter == ITMAX) nrerror("powell exceeding maximum iterations."); 
     p2[thetaj]=x[thetaj]-delti[thetaj]/k;      for (j=1;j<=n;j++) { 
     k4=func(p2)-fx;        ptt[j]=2.0*p[j]-pt[j]; 
     res=(k1-k2-k3+k4)/4.0/delti[thetai]*k/delti[thetaj]*k/2.; /* Because of L not 2*L */        xit[j]=p[j]-pt[j]; 
 #ifdef DEBUG        pt[j]=p[j]; 
     printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e  res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);      } 
 #endif      fptt=(*func)(ptt); 
   }      if (fptt < fp) { 
   return res;        t=2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del)-del*SQR(fp-fptt); 
 }        if (t < 0.0) { 
           linmin(p,xit,n,fret,func); 
 /************** Inverse of matrix **************/          for (j=1;j<=n;j++) { 
 void ludcmp(double **a, int n, int *indx, double *d)            xi[j][ibig]=xi[j][n]; 
 {            xi[j][n]=xit[j]; 
   int i,imax,j,k;          }
   double big,dum,sum,temp;  #ifdef DEBUG
   double *vv;          printf("Direction changed  last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
            fprintf(ficlog,"Direction changed  last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
   vv=vector(1,n);          for(j=1;j<=n;j++){
   *d=1.0;            printf(" %.12e",xit[j]);
   for (i=1;i<=n;i++) {            fprintf(ficlog," %.12e",xit[j]);
     big=0.0;          }
     for (j=1;j<=n;j++)          printf("\n");
       if ((temp=fabs(a[i][j])) > big) big=temp;          fprintf(ficlog,"\n");
     if (big == 0.0) nrerror("Singular matrix in routine ludcmp");  #endif
     vv[i]=1.0/big;        }
   }      } 
   for (j=1;j<=n;j++) {    } 
     for (i=1;i<j;i++) {  } 
       sum=a[i][j];  
       for (k=1;k<i;k++) sum -= a[i][k]*a[k][j];  /**** Prevalence limit (stable or period prevalence)  ****************/
       a[i][j]=sum;  
     }  double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int ij)
     big=0.0;  {
     for (i=j;i<=n;i++) {    /* Computes the prevalence limit in each live state at age x by left multiplying the unit
       sum=a[i][j];       matrix by transitions matrix until convergence is reached */
       for (k=1;k<j;k++)  
         sum -= a[i][k]*a[k][j];    int i, ii,j,k;
       a[i][j]=sum;    double min, max, maxmin, maxmax,sumnew=0.;
       if ( (dum=vv[i]*fabs(sum)) >= big) {    double **matprod2();
         big=dum;    double **out, cov[NCOVMAX], **pmij();
         imax=i;    double **newm;
       }    double agefin, delaymax=50 ; /* Max number of years to converge */
     }  
     if (j != imax) {    for (ii=1;ii<=nlstate+ndeath;ii++)
       for (k=1;k<=n;k++) {      for (j=1;j<=nlstate+ndeath;j++){
         dum=a[imax][k];        oldm[ii][j]=(ii==j ? 1.0 : 0.0);
         a[imax][k]=a[j][k];      }
         a[j][k]=dum;  
       }     cov[1]=1.;
       *d = -(*d);   
       vv[imax]=vv[j];   /* Even if hstepm = 1, at least one multiplication by the unit matrix */
     }    for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){
     indx[j]=imax;      newm=savm;
     if (a[j][j] == 0.0) a[j][j]=TINY;      /* Covariates have to be included here again */
     if (j != n) {       cov[2]=agefin;
       dum=1.0/(a[j][j]);    
       for (i=j+1;i<=n;i++) a[i][j] *= dum;        for (k=1; k<=cptcovn;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]]);*/
   free_vector(vv,1,n);  /* Doesn't work */        }
 ;        for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
 }        for (k=1; k<=cptcovprod;k++)
           cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];
 void lubksb(double **a, int n, int *indx, double b[])  
 {        /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/
   int i,ii=0,ip,j;        /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/
   double sum;        /*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);
   for (i=1;i<=n;i++) {  
     ip=indx[i];      savm=oldm;
     sum=b[ip];      oldm=newm;
     b[ip]=b[i];      maxmax=0.;
     if (ii)      for(j=1;j<=nlstate;j++){
       for (j=ii;j<=i-1;j++) sum -= a[i][j]*b[j];        min=1.;
     else if (sum) ii=i;        max=0.;
     b[i]=sum;        for(i=1; i<=nlstate; i++) {
   }          sumnew=0;
   for (i=n;i>=1;i--) {          for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];
     sum=b[i];          prlim[i][j]= newm[i][j]/(1-sumnew);
     for (j=i+1;j<=n;j++) sum -= a[i][j]*b[j];          max=FMAX(max,prlim[i][j]);
     b[i]=sum/a[i][i];          min=FMIN(min,prlim[i][j]);
   }        }
 }        maxmin=max-min;
         maxmax=FMAX(maxmax,maxmin);
 /************ Frequencies ********************/      }
 void  freqsummary(char fileres[], int agemin, int agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax)      if(maxmax < ftolpl){
 {  /* Some frequencies */        return prlim;
        }
   int i, m, jk, k1, i1, j1, bool, z1,z2,j;    }
   double ***freq; /* Frequencies */  }
   double *pp;  
   double pos;  /*************** transition probabilities ***************/ 
   FILE *ficresp;  
   char fileresp[FILENAMELENGTH];  double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate )
   {
   pp=vector(1,nlstate);    double s1, s2;
     /*double t34;*/
   strcpy(fileresp,"p");    int i,j,j1, nc, ii, jj;
   strcat(fileresp,fileres);  
   if((ficresp=fopen(fileresp,"w"))==NULL) {      for(i=1; i<= nlstate; i++){
     printf("Problem with prevalence resultfile: %s\n", fileresp);        for(j=1; j<i;j++){
     exit(0);          for (nc=1, s2=0.;nc <=ncovmodel; nc++){
   }            /*s2 += param[i][j][nc]*cov[nc];*/
   freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3);            s2 += x[(i-1)*nlstate*ncovmodel+(j-1)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];
   j1=0;  /*       printf("Int j<i s1=%.17e, s2=%.17e\n",s1,s2); */
           }
   j=cptcoveff;          ps[i][j]=s2;
   if (cptcovn<1) {j=1;ncodemax[1]=1;}  /*      printf("s1=%.17e, s2=%.17e\n",s1,s2); */
         }
   for(k1=1; k1<=j;k1++){        for(j=i+1; j<=nlstate+ndeath;j++){
    for(i1=1; i1<=ncodemax[k1];i1++){          for (nc=1, s2=0.;nc <=ncovmodel; nc++){
        j1++;            s2 += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];
        /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);  /*        printf("Int j>i s1=%.17e, s2=%.17e %lx %lx\n",s1,s2,s1,s2); */
          scanf("%d", i);*/          }
         for (i=-1; i<=nlstate+ndeath; i++)            ps[i][j]=s2;
          for (jk=-1; jk<=nlstate+ndeath; jk++)          }
            for(m=agemin; m <= agemax+3; m++)      }
              freq[i][jk][m]=0;      /*ps[3][2]=1;*/
              
        for (i=1; i<=imx; i++) {      for(i=1; i<= nlstate; i++){
          bool=1;        s1=0;
          if  (cptcovn>0) {        for(j=1; j<i; j++)
            for (z1=1; z1<=cptcoveff; z1++)          s1+=exp(ps[i][j]);
              if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]])        for(j=i+1; j<=nlstate+ndeath; j++)
                bool=0;          s1+=exp(ps[i][j]);
          }        ps[i][i]=1./(s1+1.);
           if (bool==1) {        for(j=1; j<i; j++)
            for(m=firstpass; m<=lastpass-1; m++){          ps[i][j]= exp(ps[i][j])*ps[i][i];
              if(agev[m][i]==0) agev[m][i]=agemax+1;        for(j=i+1; j<=nlstate+ndeath; j++)
              if(agev[m][i]==1) agev[m][i]=agemax+2;          ps[i][j]= exp(ps[i][j])*ps[i][i];
              freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];        /* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */
              freq[s[m][i]][s[m+1][i]][(int) agemax+3] += weight[i];      } /* end i */
            }      
          }      for(ii=nlstate+1; ii<= nlstate+ndeath; ii++){
        }        for(jj=1; jj<= nlstate+ndeath; jj++){
         if  (cptcovn>0) {          ps[ii][jj]=0;
          fprintf(ficresp, "\n#********** Variable ");          ps[ii][ii]=1;
          for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);        }
        fprintf(ficresp, "**********\n#");      }
         }      
        for(i=1; i<=nlstate;i++)  
          fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);  /*        for(ii=1; ii<= nlstate+ndeath; ii++){ */
        fprintf(ficresp, "\n");  /*       for(jj=1; jj<= nlstate+ndeath; jj++){ */
          /*         printf("ddd %lf ",ps[ii][jj]); */
   for(i=(int)agemin; i <= (int)agemax+3; i++){  /*       } */
     if(i==(int)agemax+3)  /*       printf("\n "); */
       printf("Total");  /*        } */
     else  /*        printf("\n ");printf("%lf ",cov[2]); */
       printf("Age %d", i);         /*
     for(jk=1; jk <=nlstate ; jk++){        for(i=1; i<= npar; i++) printf("%f ",x[i]);
       for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++)        goto end;*/
         pp[jk] += freq[jk][m][i];      return ps;
     }  }
     for(jk=1; jk <=nlstate ; jk++){  
       for(m=-1, pos=0; m <=0 ; m++)  /**************** Product of 2 matrices ******************/
         pos += freq[jk][m][i];  
       if(pp[jk]>=1.e-10)  double **matprod2(double **out, double **in,long nrl, long nrh, long ncl, long nch, long ncolol, long ncoloh, double **b)
         printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);  {
       else    /* Computes the matrix product of in(1,nrh-nrl+1)(1,nch-ncl+1) times
         printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk);       b(1,nch-ncl+1)(1,ncoloh-ncolol+1) into out(...) */
     }    /* in, b, out are matrice of pointers which should have been initialized 
     for(jk=1; jk <=nlstate ; jk++){       before: only the contents of out is modified. The function returns
       for(m=1, pp[jk]=0; m <=nlstate+ndeath; m++)       a pointer to pointers identical to out */
         pp[jk] += freq[jk][m][i];    long i, j, k;
     }    for(i=nrl; i<= nrh; i++)
     for(jk=1,pos=0; jk <=nlstate ; jk++)      for(k=ncolol; k<=ncoloh; k++)
       pos += pp[jk];        for(j=ncl,out[i][k]=0.; j<=nch; j++)
     for(jk=1; jk <=nlstate ; jk++){          out[i][k] +=in[i][j]*b[j][k];
       if(pos>=1.e-5)  
         printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos);    return out;
       else  }
         printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);  
       if( i <= (int) agemax){  
         if(pos>=1.e-5)  /************* Higher Matrix Product ***************/
           fprintf(ficresp," %d %.5f %.0f %.0f",i,pp[jk]/pos, pp[jk],pos);  
       else  double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij )
           fprintf(ficresp," %d NaNq %.0f %.0f",i,pp[jk],pos);  {
       }    /* Computes the transition matrix starting at age 'age' over 
     }       'nhstepm*hstepm*stepm' months (i.e. until
     for(jk=-1; jk <=nlstate+ndeath; jk++)       age (in years)  age+nhstepm*hstepm*stepm/12) by multiplying 
       for(m=-1; m <=nlstate+ndeath; m++)       nhstepm*hstepm matrices. 
         if(freq[jk][m][i] !=0 ) printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);       Output is stored in matrix po[i][j][h] for h every 'hstepm' step 
     if(i <= (int) agemax)       (typically every 2 years instead of every month which is too big 
       fprintf(ficresp,"\n");       for the memory).
     printf("\n");       Model is determined by parameters x and covariates have to be 
     }       included manually here. 
     }  
  }       */
    
   fclose(ficresp);    int i, j, d, h, k;
   free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3);    double **out, cov[NCOVMAX];
   free_vector(pp,1,nlstate);    double **newm;
   
 }  /* End of Freq */    /* Hstepm could be zero and should return the unit matrix */
     for (i=1;i<=nlstate+ndeath;i++)
 /************* Waves Concatenation ***************/      for (j=1;j<=nlstate+ndeath;j++){
         oldm[i][j]=(i==j ? 1.0 : 0.0);
 void  concatwav(int wav[], int **dh, int **mw, int **s, double *agedc, double **agev, int  firstpass, int lastpass, int imx, int nlstate, int stepm)        po[i][j][0]=(i==j ? 1.0 : 0.0);
 {      }
   /* Concatenates waves: wav[i] is the number of effective (useful waves) of individual i.    /* Even if hstepm = 1, at least one multiplication by the unit matrix */
      Death is a valid wave (if date is known).    for(h=1; h <=nhstepm; h++){
      mw[mi][i] is the mi (mi=1 to wav[i])  effective wave of individual i      for(d=1; d <=hstepm; d++){
      dh[m][i] of dh[mw[mi][i][i] is the delay between two effective waves m=mw[mi][i]        newm=savm;
      and mw[mi+1][i]. dh depends on stepm.        /* Covariates have to be included here again */
      */        cov[1]=1.;
         cov[2]=age+((h-1)*hstepm + (d-1))*stepm/YEARM;
   int i, mi, m;        for (k=1; k<=cptcovn;k++) cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];
   /* int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1;        for (k=1; k<=cptcovage;k++)
      double sum=0., jmean=0.;*/          cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
         for (k=1; k<=cptcovprod;k++)
 int j, k=0,jk, ju, jl;          cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];
      double sum=0.;  
 jmin=1e+5;  
  jmax=-1;        /*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/
 jmean=0.;        /*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*/
   for(i=1; i<=imx; i++){        out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, 
     mi=0;                     pmij(pmmij,cov,ncovmodel,x,nlstate));
     m=firstpass;        savm=oldm;
     while(s[m][i] <= nlstate){        oldm=newm;
       if(s[m][i]>=1)      }
         mw[++mi][i]=m;      for(i=1; i<=nlstate+ndeath; i++)
       if(m >=lastpass)        for(j=1;j<=nlstate+ndeath;j++) {
         break;          po[i][j][h]=newm[i][j];
       else          /*printf("i=%d j=%d h=%d po[i][j][h]=%f ",i,j,h,po[i][j][h]);
         m++;           */
     }/* end while */        }
     if (s[m][i] > nlstate){    } /* end h */
       mi++;     /* Death is another wave */    return po;
       /* if(mi==0)  never been interviewed correctly before death */  }
          /* Only death is a correct wave */  
       mw[mi][i]=m;  
     }  /*************** log-likelihood *************/
   double func( double *x)
     wav[i]=mi;  {
     if(mi==0)    int i, ii, j, k, mi, d, kk;
       printf("Warning, no any valid information for:%d line=%d\n",num[i],i);    double l, ll[NLSTATEMAX], cov[NCOVMAX];
   }    double **out;
     double sw; /* Sum of weights */
   for(i=1; i<=imx; i++){    double lli; /* Individual log likelihood */
     for(mi=1; mi<wav[i];mi++){    int s1, s2;
       if (stepm <=0)    double bbh, survp;
         dh[mi][i]=1;    long ipmx;
       else{    /*extern weight */
         if (s[mw[mi+1][i]][i] > nlstate) {    /* We are differentiating ll according to initial status */
           if (agedc[i] < 2*AGESUP) {    /*  for (i=1;i<=npar;i++) printf("%f ", x[i]);*/
           j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12);    /*for(i=1;i<imx;i++) 
           if(j==0) j=1;  /* Survives at least one month after exam */      printf(" %d\n",s[4][i]);
           k=k+1;    */
           if (j >= jmax) jmax=j;    cov[1]=1.;
           else if (j <= jmin)jmin=j;  
           sum=sum+j;    for(k=1; k<=nlstate; k++) ll[k]=0.;
           if (j<0) printf("j=%d num=%d ",j,i);  
           }    if(mle==1){
         }      for (i=1,ipmx=0, sw=0.; i<=imx; i++){
         else{        for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
           j= rint( (agev[mw[mi+1][i]][i]*12 - agev[mw[mi][i]][i]*12));        for(mi=1; mi<= wav[i]-1; mi++){
           k=k+1;          for (ii=1;ii<=nlstate+ndeath;ii++)
           if (j >= jmax) jmax=j;            for (j=1;j<=nlstate+ndeath;j++){
           else if (j <= jmin)jmin=j;              oldm[ii][j]=(ii==j ? 1.0 : 0.0);
           sum=sum+j;              savm[ii][j]=(ii==j ? 1.0 : 0.0);
         }            }
         jk= j/stepm;          for(d=0; d<dh[mi][i]; d++){
         jl= j -jk*stepm;            newm=savm;
         ju= j -(jk+1)*stepm;            cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
         if(jl <= -ju)            for (kk=1; kk<=cptcovage;kk++) {
           dh[mi][i]=jk;              cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
         else            }
           dh[mi][i]=jk+1;            out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
         if(dh[mi][i]==0)                         1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
           dh[mi][i]=1; /* At least one step */            savm=oldm;
       }            oldm=newm;
     }          } /* end mult */
   }        
   jmean=sum/k;          /*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */
   printf("Delay (in months) between two waves Min=%d Max=%d Mean=%f\n\n ",jmin, jmax,jmean);          /* But now since version 0.9 we anticipate for bias at large stepm.
 }           * If stepm is larger than one month (smallest stepm) and if the exact delay 
 /*********** Tricode ****************************/           * (in months) between two waves is not a multiple of stepm, we rounded to 
 void tricode(int *Tvar, int **nbcode, int imx)           * the nearest (and in case of equal distance, to the lowest) interval but now
 {           * we keep into memory the bias bh[mi][i] and also the previous matrix product
   int Ndum[20],ij=1, k, j, i;           * (i.e to dh[mi][i]-1) saved in 'savm'. Then we inter(extra)polate the
   int cptcode=0;           * probability in order to take into account the bias as a fraction of the way
   cptcoveff=0;           * from savm to out if bh is negative or even beyond if bh is positive. bh varies
             * -stepm/2 to stepm/2 .
   for (k=0; k<19; k++) Ndum[k]=0;           * For stepm=1 the results are the same as for previous versions of Imach.
   for (k=1; k<=7; k++) ncodemax[k]=0;           * For stepm > 1 the results are less biased than in previous versions. 
            */
   for (j=1; j<=(cptcovn+2*cptcovprod); j++) {          s1=s[mw[mi][i]][i];
     for (i=1; i<=imx; i++) {          s2=s[mw[mi+1][i]][i];
       ij=(int)(covar[Tvar[j]][i]);          bbh=(double)bh[mi][i]/(double)stepm; 
       Ndum[ij]++;          /* bias bh is positive if real duration
       /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/           * is higher than the multiple of stepm and negative otherwise.
       if (ij > cptcode) cptcode=ij;           */
     }          /* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/
           if( s2 > nlstate){ 
     for (i=0; i<=cptcode; i++) {            /* i.e. if s2 is a death state and if the date of death is known 
       if(Ndum[i]!=0) ncodemax[j]++;               then the contribution to the likelihood is the probability to 
     }               die between last step unit time and current  step unit time, 
     ij=1;               which is also equal to probability to die before dh 
                minus probability to die before dh-stepm . 
                In version up to 0.92 likelihood was computed
     for (i=1; i<=ncodemax[j]; i++) {          as if date of death was unknown. Death was treated as any other
       for (k=0; k<=19; k++) {          health state: the date of the interview describes the actual state
         if (Ndum[k] != 0) {          and not the date of a change in health state. The former idea was
           nbcode[Tvar[j]][ij]=k;          to consider that at each interview the state was recorded
           ij++;          (healthy, disable or death) and IMaCh was corrected; but when we
         }          introduced the exact date of death then we should have modified
         if (ij > ncodemax[j]) break;          the contribution of an exact death to the likelihood. This new
       }            contribution is smaller and very dependent of the step unit
     }          stepm. It is no more the probability to die between last interview
   }            and month of death but the probability to survive from last
           interview up to one month before death multiplied by the
  for (k=0; k<19; k++) Ndum[k]=0;          probability to die within a month. Thanks to Chris
           Jackson for correcting this bug.  Former versions increased
  for (i=1; i<=ncovmodel; i++) {          mortality artificially. The bad side is that we add another loop
       ij=Tvar[i];          which slows down the processing. The difference can be up to 10%
       Ndum[ij]++;          lower mortality.
     }            */
             lli=log(out[s1][s2] - savm[s1][s2]);
  ij=1;  
  for (i=1; i<=10; i++) {  
    if((Ndum[i]!=0) && (i<=ncov)){          } else if  (s2==-2) {
      Tvaraff[ij]=i;            for (j=1,survp=0. ; j<=nlstate; j++) 
      ij++;              survp += out[s1][j];
    }            lli= survp;
  }          }
            
     cptcoveff=ij-1;          else if  (s2==-4) {
 }            for (j=3,survp=0. ; j<=nlstate; j++) 
               survp += out[s1][j];
 /*********** Health Expectancies ****************/            lli= survp;
           }
 void evsij(char fileres[], double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int ij)          
 {          else if  (s2==-5) {
   /* Health expectancies */            for (j=1,survp=0. ; j<=2; j++) 
   int i, j, nhstepm, hstepm, h;              survp += out[s1][j];
   double age, agelim,hf;            lli= survp;
   double ***p3mat;          }
    
   fprintf(ficreseij,"# Health expectancies\n");  
   fprintf(ficreseij,"# Age");          else{
   for(i=1; i<=nlstate;i++)            lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
     for(j=1; j<=nlstate;j++)            /*  lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2]));*/ /* linear interpolation */
       fprintf(ficreseij," %1d-%1d",i,j);          } 
   fprintf(ficreseij,"\n");          /*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/
           /*if(lli ==000.0)*/
   hstepm=1*YEARM; /*  Every j years of age (in month) */          /*printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */
   hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */          ipmx +=1;
           sw += weight[i];
   agelim=AGESUP;          ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
   for (age=bage; age<=fage; age ++){ /* If stepm=6 months */        } /* end of wave */
     /* nhstepm age range expressed in number of stepm */      } /* end of individual */
     nhstepm=(int) rint((agelim-age)*YEARM/stepm);    }  else if(mle==2){
     /* Typically if 20 years = 20*12/6=40 stepm */      for (i=1,ipmx=0, sw=0.; i<=imx; i++){
     if (stepm >= YEARM) hstepm=1;        for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
     nhstepm = nhstepm/hstepm;/* Expressed in hstepm, typically 40/4=10 */        for(mi=1; mi<= wav[i]-1; mi++){
     p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);          for (ii=1;ii<=nlstate+ndeath;ii++)
     /* Computed by stepm unit matrices, product of hstepm matrices, stored            for (j=1;j<=nlstate+ndeath;j++){
        in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */              oldm[ii][j]=(ii==j ? 1.0 : 0.0);
     hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, ij);                savm[ii][j]=(ii==j ? 1.0 : 0.0);
             }
           for(d=0; d<=dh[mi][i]; d++){
     for(i=1; i<=nlstate;i++)            newm=savm;
       for(j=1; j<=nlstate;j++)            cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
         for (h=0, eij[i][j][(int)age]=0; h<=nhstepm; h++){            for (kk=1; kk<=cptcovage;kk++) {
           eij[i][j][(int)age] +=p3mat[i][j][h];              cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
         }            }
                out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
     hf=1;                         1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
     if (stepm >= YEARM) hf=stepm/YEARM;            savm=oldm;
     fprintf(ficreseij,"%.0f",age );            oldm=newm;
     for(i=1; i<=nlstate;i++)          } /* end mult */
       for(j=1; j<=nlstate;j++){        
         fprintf(ficreseij," %.4f", hf*eij[i][j][(int)age]);          s1=s[mw[mi][i]][i];
       }          s2=s[mw[mi+1][i]][i];
     fprintf(ficreseij,"\n");          bbh=(double)bh[mi][i]/(double)stepm; 
     free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);          lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2])); /* linear interpolation */
   }          ipmx +=1;
 }          sw += weight[i];
           ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
 /************ Variance ******************/        } /* end of wave */
 void varevsij(char fileres[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij)      } /* end of individual */
 {    }  else if(mle==3){  /* exponential inter-extrapolation */
   /* Variance of health expectancies */      for (i=1,ipmx=0, sw=0.; i<=imx; i++){
   /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/        for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
   double **newm;        for(mi=1; mi<= wav[i]-1; mi++){
   double **dnewm,**doldm;          for (ii=1;ii<=nlstate+ndeath;ii++)
   int i, j, nhstepm, hstepm, h;            for (j=1;j<=nlstate+ndeath;j++){
   int k, cptcode;              oldm[ii][j]=(ii==j ? 1.0 : 0.0);
    double *xp;              savm[ii][j]=(ii==j ? 1.0 : 0.0);
   double **gp, **gm;            }
   double ***gradg, ***trgradg;          for(d=0; d<dh[mi][i]; d++){
   double ***p3mat;            newm=savm;
   double age,agelim;            cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
   int theta;            for (kk=1; kk<=cptcovage;kk++) {
               cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
    fprintf(ficresvij,"# Covariances of life expectancies\n");            }
   fprintf(ficresvij,"# Age");            out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
   for(i=1; i<=nlstate;i++)                         1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
     for(j=1; j<=nlstate;j++)            savm=oldm;
       fprintf(ficresvij," Cov(e%1d, e%1d)",i,j);            oldm=newm;
   fprintf(ficresvij,"\n");          } /* end mult */
         
   xp=vector(1,npar);          s1=s[mw[mi][i]][i];
   dnewm=matrix(1,nlstate,1,npar);          s2=s[mw[mi+1][i]][i];
   doldm=matrix(1,nlstate,1,nlstate);          bbh=(double)bh[mi][i]/(double)stepm; 
            lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */
   hstepm=1*YEARM; /* Every year of age */          ipmx +=1;
   hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */          sw += weight[i];
   agelim = AGESUP;          ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
   for (age=bage; age<=fage; age ++){ /* If stepm=6 months */        } /* end of wave */
     nhstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */      } /* end of individual */
     if (stepm >= YEARM) hstepm=1;    }else if (mle==4){  /* ml=4 no inter-extrapolation */
     nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */      for (i=1,ipmx=0, sw=0.; i<=imx; i++){
     p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);        for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
     gradg=ma3x(0,nhstepm,1,npar,1,nlstate);        for(mi=1; mi<= wav[i]-1; mi++){
     gp=matrix(0,nhstepm,1,nlstate);          for (ii=1;ii<=nlstate+ndeath;ii++)
     gm=matrix(0,nhstepm,1,nlstate);            for (j=1;j<=nlstate+ndeath;j++){
               oldm[ii][j]=(ii==j ? 1.0 : 0.0);
     for(theta=1; theta <=npar; theta++){              savm[ii][j]=(ii==j ? 1.0 : 0.0);
       for(i=1; i<=npar; i++){ /* Computes gradient */            }
         xp[i] = x[i] + (i==theta ?delti[theta]:0);          for(d=0; d<dh[mi][i]; d++){
       }            newm=savm;
       hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);              cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
       prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);            for (kk=1; kk<=cptcovage;kk++) {
       for(j=1; j<= nlstate; j++){              cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
         for(h=0; h<=nhstepm; h++){            }
           for(i=1, gp[h][j]=0.;i<=nlstate;i++)          
             gp[h][j] += prlim[i][i]*p3mat[i][j][h];            out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
         }                         1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
       }            savm=oldm;
                oldm=newm;
       for(i=1; i<=npar; i++) /* Computes gradient */          } /* end mult */
         xp[i] = x[i] - (i==theta ?delti[theta]:0);        
       hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);            s1=s[mw[mi][i]][i];
       prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);          s2=s[mw[mi+1][i]][i];
       for(j=1; j<= nlstate; j++){          if( s2 > nlstate){ 
         for(h=0; h<=nhstepm; h++){            lli=log(out[s1][s2] - savm[s1][s2]);
           for(i=1, gm[h][j]=0.;i<=nlstate;i++)          }else{
             gm[h][j] += prlim[i][i]*p3mat[i][j][h];            lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */
         }          }
       }          ipmx +=1;
       for(j=1; j<= nlstate; j++)          sw += weight[i];
         for(h=0; h<=nhstepm; h++){          ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
           gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];  /*      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]); */
         }        } /* end of wave */
     } /* End theta */      } /* end of individual */
     }else{  /* ml=5 no inter-extrapolation no jackson =0.8a */
     trgradg =ma3x(0,nhstepm,1,nlstate,1,npar);      for (i=1,ipmx=0, sw=0.; i<=imx; i++){
         for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
     for(h=0; h<=nhstepm; h++)        for(mi=1; mi<= wav[i]-1; mi++){
       for(j=1; j<=nlstate;j++)          for (ii=1;ii<=nlstate+ndeath;ii++)
         for(theta=1; theta <=npar; theta++)            for (j=1;j<=nlstate+ndeath;j++){
           trgradg[h][j][theta]=gradg[h][theta][j];              oldm[ii][j]=(ii==j ? 1.0 : 0.0);
               savm[ii][j]=(ii==j ? 1.0 : 0.0);
     for(i=1;i<=nlstate;i++)            }
       for(j=1;j<=nlstate;j++)          for(d=0; d<dh[mi][i]; d++){
         vareij[i][j][(int)age] =0.;            newm=savm;
     for(h=0;h<=nhstepm;h++){            cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
       for(k=0;k<=nhstepm;k++){            for (kk=1; kk<=cptcovage;kk++) {
         matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov);              cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
         matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg[k]);            }
         for(i=1;i<=nlstate;i++)          
           for(j=1;j<=nlstate;j++)            out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
             vareij[i][j][(int)age] += doldm[i][j];                         1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
       }            savm=oldm;
     }            oldm=newm;
     h=1;          } /* end mult */
     if (stepm >= YEARM) h=stepm/YEARM;        
     fprintf(ficresvij,"%.0f ",age );          s1=s[mw[mi][i]][i];
     for(i=1; i<=nlstate;i++)          s2=s[mw[mi+1][i]][i];
       for(j=1; j<=nlstate;j++){          lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */
         fprintf(ficresvij," %.4f", h*vareij[i][j][(int)age]);          ipmx +=1;
       }          sw += weight[i];
     fprintf(ficresvij,"\n");          ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
     free_matrix(gp,0,nhstepm,1,nlstate);          /*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]);*/
     free_matrix(gm,0,nhstepm,1,nlstate);        } /* end of wave */
     free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate);      } /* end of individual */
     free_ma3x(trgradg,0,nhstepm,1,nlstate,1,npar);    } /* End of if */
     free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);    for(k=1,l=0.; k<=nlstate; k++) l += ll[k];
   } /* End age */    /* printf("l1=%f l2=%f ",ll[1],ll[2]); */
      l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */
   free_vector(xp,1,npar);    return -l;
   free_matrix(doldm,1,nlstate,1,npar);  }
   free_matrix(dnewm,1,nlstate,1,nlstate);  
   /*************** log-likelihood *************/
 }  double funcone( double *x)
   {
 /************ Variance of prevlim ******************/    /* Same as likeli but slower because of a lot of printf and if */
 void varprevlim(char fileres[], double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij)    int i, ii, j, k, mi, d, kk;
 {    double l, ll[NLSTATEMAX], cov[NCOVMAX];
   /* Variance of prevalence limit */    double **out;
   /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/    double lli; /* Individual log likelihood */
   double **newm;    double llt;
   double **dnewm,**doldm;    int s1, s2;
   int i, j, nhstepm, hstepm;    double bbh, survp;
   int k, cptcode;    /*extern weight */
   double *xp;    /* We are differentiating ll according to initial status */
   double *gp, *gm;    /*  for (i=1;i<=npar;i++) printf("%f ", x[i]);*/
   double **gradg, **trgradg;    /*for(i=1;i<imx;i++) 
   double age,agelim;      printf(" %d\n",s[4][i]);
   int theta;    */
        cov[1]=1.;
   fprintf(ficresvpl,"# Standard deviation of prevalences limit\n");  
   fprintf(ficresvpl,"# Age");    for(k=1; k<=nlstate; k++) ll[k]=0.;
   for(i=1; i<=nlstate;i++)  
       fprintf(ficresvpl," %1d-%1d",i,i);    for (i=1,ipmx=0, sw=0.; i<=imx; i++){
   fprintf(ficresvpl,"\n");      for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
       for(mi=1; mi<= wav[i]-1; mi++){
   xp=vector(1,npar);        for (ii=1;ii<=nlstate+ndeath;ii++)
   dnewm=matrix(1,nlstate,1,npar);          for (j=1;j<=nlstate+ndeath;j++){
   doldm=matrix(1,nlstate,1,nlstate);            oldm[ii][j]=(ii==j ? 1.0 : 0.0);
              savm[ii][j]=(ii==j ? 1.0 : 0.0);
   hstepm=1*YEARM; /* Every year of age */          }
   hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */        for(d=0; d<dh[mi][i]; d++){
   agelim = AGESUP;          newm=savm;
   for (age=bage; age<=fage; age ++){ /* If stepm=6 months */          cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
     nhstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */          for (kk=1; kk<=cptcovage;kk++) {
     if (stepm >= YEARM) hstepm=1;            cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
     nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */          }
     gradg=matrix(1,npar,1,nlstate);          out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
     gp=vector(1,nlstate);                       1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
     gm=vector(1,nlstate);          savm=oldm;
           oldm=newm;
     for(theta=1; theta <=npar; theta++){        } /* end mult */
       for(i=1; i<=npar; i++){ /* Computes gradient */        
         xp[i] = x[i] + (i==theta ?delti[theta]:0);        s1=s[mw[mi][i]][i];
       }        s2=s[mw[mi+1][i]][i];
       prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);        bbh=(double)bh[mi][i]/(double)stepm; 
       for(i=1;i<=nlstate;i++)        /* bias is positive if real duration
         gp[i] = prlim[i][i];         * is higher than the multiple of stepm and negative otherwise.
             */
       for(i=1; i<=npar; i++) /* Computes gradient */        if( s2 > nlstate && (mle <5) ){  /* Jackson */
         xp[i] = x[i] - (i==theta ?delti[theta]:0);          lli=log(out[s1][s2] - savm[s1][s2]);
       prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);        } else if (mle==1){
       for(i=1;i<=nlstate;i++)          lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
         gm[i] = prlim[i][i];        } else if(mle==2){
           lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* linear interpolation */
       for(i=1;i<=nlstate;i++)        } else if(mle==3){  /* exponential inter-extrapolation */
         gradg[theta][i]= (gp[i]-gm[i])/2./delti[theta];          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 */
     } /* End theta */        } else if (mle==4){  /* mle=4 no inter-extrapolation */
           lli=log(out[s1][s2]); /* Original formula */
     trgradg =matrix(1,nlstate,1,npar);        } else{  /* ml>=5 no inter-extrapolation no jackson =0.8a */
           lli=log(out[s1][s2]); /* Original formula */
     for(j=1; j<=nlstate;j++)        } /* End of if */
       for(theta=1; theta <=npar; theta++)        ipmx +=1;
         trgradg[j][theta]=gradg[theta][j];        sw += weight[i];
         ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
     for(i=1;i<=nlstate;i++)  /*       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]); */
       varpl[i][(int)age] =0.;        if(globpr){
     matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov);          fprintf(ficresilk,"%9d %6d %1d %1d %1d %1d %3d %10.6f %6.4f\
     matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg);   %10.6f %10.6f %10.6f ", \
     for(i=1;i<=nlstate;i++)                  num[i],i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],
       varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */                  2*weight[i]*lli,out[s1][s2],savm[s1][s2]);
           for(k=1,llt=0.,l=0.; k<=nlstate; k++){
     fprintf(ficresvpl,"%.0f ",age );            llt +=ll[k]*gipmx/gsw;
     for(i=1; i<=nlstate;i++)            fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw);
       fprintf(ficresvpl," %.5f (%.5f)",prlim[i][i],sqrt(varpl[i][(int)age]));          }
     fprintf(ficresvpl,"\n");          fprintf(ficresilk," %10.6f\n", -llt);
     free_vector(gp,1,nlstate);        }
     free_vector(gm,1,nlstate);      } /* end of wave */
     free_matrix(gradg,1,npar,1,nlstate);    } /* end of individual */
     free_matrix(trgradg,1,nlstate,1,npar);    for(k=1,l=0.; k<=nlstate; k++) l += ll[k];
   } /* End age */    /* printf("l1=%f l2=%f ",ll[1],ll[2]); */
     l= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */
   free_vector(xp,1,npar);    if(globpr==0){ /* First time we count the contributions and weights */
   free_matrix(doldm,1,nlstate,1,npar);      gipmx=ipmx;
   free_matrix(dnewm,1,nlstate,1,nlstate);      gsw=sw;
     }
 }    return -l;
   }
   
   
 /***********************************************/  /*************** function likelione ***********/
 /**************** Main Program *****************/  void likelione(FILE *ficres,double p[], int npar, int nlstate, int *globpri, long *ipmx, double *sw, double *fretone, double (*funcone)(double []))
 /***********************************************/  {
     /* This routine should help understanding what is done with 
 /*int main(int argc, char *argv[])*/       the selection of individuals/waves and
 int main()       to check the exact contribution to the likelihood.
 {       Plotting could be done.
      */
   int i,j, k, n=MAXN,iter,m,size,cptcode, cptcod;    int k;
   double agedeb, agefin,hf;  
   double agemin=1.e20, agemax=-1.e20;    if(*globpri !=0){ /* Just counts and sums, no printings */
       strcpy(fileresilk,"ilk"); 
   double fret;      strcat(fileresilk,fileres);
   double **xi,tmp,delta;      if((ficresilk=fopen(fileresilk,"w"))==NULL) {
         printf("Problem with resultfile: %s\n", fileresilk);
   double dum; /* Dummy variable */        fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk);
   double ***p3mat;      }
   int *indx;      fprintf(ficresilk, "#individual(line's_record) s1 s2 wave# effective_wave# number_of_matrices_product pij weight -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total\n");
   char line[MAXLINE], linepar[MAXLINE];      fprintf(ficresilk, "#num_i i s1 s2 mi mw dh likeli weight 2wlli out sav ");
   char title[MAXLINE];      /*  i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2*weight[i]*lli,out[s1][s2],savm[s1][s2]); */
   char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH],  filerespl[FILENAMELENGTH], optionfilehtm[FILENAMELENGTH];      for(k=1; k<=nlstate; k++) 
   char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH];        fprintf(ficresilk," -2*gipw/gsw*weight*ll[%d]++",k);
   char filerest[FILENAMELENGTH];      fprintf(ficresilk," -2*gipw/gsw*weight*ll(total)\n");
   char fileregp[FILENAMELENGTH];    }
   char path[80],pathc[80],pathcd[80],pathtot[80],model[20];  
   int firstobs=1, lastobs=10;    *fretone=(*funcone)(p);
   int sdeb, sfin; /* Status at beginning and end */    if(*globpri !=0){
   int c,  h , cpt,l;      fclose(ficresilk);
   int ju,jl, mi;      fprintf(fichtm,"\n<br>File of contributions to the likelihood: <a href=\"%s\">%s</a><br>\n",subdirf(fileresilk),subdirf(fileresilk));
   int i1,j1, k1,k2,k3,jk,aa,bb, stepsize, ij;      fflush(fichtm); 
   int jnais,jdc,jint4,jint1,jint2,jint3,**outcome,**adl,*tab;    } 
      return;
   int hstepm, nhstepm;  }
   double bage, fage, age, agelim, agebase;  
   double ftolpl=FTOL;  
   double **prlim;  /*********** Maximum Likelihood Estimation ***************/
   double *severity;  
   double ***param; /* Matrix of parameters */  void mlikeli(FILE *ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (*func)(double []))
   double  *p;  {
   double **matcov; /* Matrix of covariance */    int i,j, iter;
   double ***delti3; /* Scale */    double **xi;
   double *delti; /* Scale */    double fret;
   double ***eij, ***vareij;    double fretone; /* Only one call to likelihood */
   double **varpl; /* Variances of prevalence limits by age */    /*  char filerespow[FILENAMELENGTH];*/
   double *epj, vepp;    xi=matrix(1,npar,1,npar);
   char version[80]="Imach version 64b, May 2001, INED-EUROREVES ";    for (i=1;i<=npar;i++)
   char *alph[]={"a","a","b","c","d","e"}, str[4];      for (j=1;j<=npar;j++)
         xi[i][j]=(i==j ? 1.0 : 0.0);
   char z[1]="c", occ;    printf("Powell\n");  fprintf(ficlog,"Powell\n");
 #include <sys/time.h>    strcpy(filerespow,"pow"); 
 #include <time.h>    strcat(filerespow,fileres);
   char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];    if((ficrespow=fopen(filerespow,"w"))==NULL) {
   /* long total_usecs;      printf("Problem with resultfile: %s\n", filerespow);
   struct timeval start_time, end_time;      fprintf(ficlog,"Problem with resultfile: %s\n", filerespow);
      }
   gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */    fprintf(ficrespow,"# Powell\n# iter -2*LL");
     for (i=1;i<=nlstate;i++)
       for(j=1;j<=nlstate+ndeath;j++)
   printf("\nIMACH, Version 0.64b");        if(j!=i)fprintf(ficrespow," p%1d%1d",i,j);
   printf("\nEnter the parameter file name: ");    fprintf(ficrespow,"\n");
   
 #ifdef windows    powell(p,xi,npar,ftol,&iter,&fret,func);
   scanf("%s",pathtot);  
   getcwd(pathcd, size);    free_matrix(xi,1,npar,1,npar);
   /*cygwin_split_path(pathtot,path,optionfile);    fclose(ficrespow);
     printf("pathtot=%s, path=%s, optionfile=%s\n",pathtot,path,optionfile);*/    printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));
   /* cutv(path,optionfile,pathtot,'\\');*/    fprintf(ficlog,"\n#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));
     fprintf(ficres,"#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));
 split(pathtot, path,optionfile);  
   chdir(path);  }
   replace(pathc,path);  
 #endif  /**** Computes Hessian and covariance matrix ***/
 #ifdef unix  void hesscov(double **matcov, double p[], int npar, double delti[], double ftolhess, double (*func)(double []))
   scanf("%s",optionfile);  {
 #endif    double  **a,**y,*x,pd;
     double **hess;
 /*-------- arguments in the command line --------*/    int i, j,jk;
     int *indx;
   strcpy(fileres,"r");  
   strcat(fileres, optionfile);    double hessii(double p[], double delta, int theta, double delti[],double (*func)(double []),int npar);
     double hessij(double p[], double delti[], int i, int j,double (*func)(double []),int npar);
   /*---------arguments file --------*/    void lubksb(double **a, int npar, int *indx, double b[]) ;
     void ludcmp(double **a, int npar, int *indx, double *d) ;
   if((ficpar=fopen(optionfile,"r"))==NULL)    {    double gompertz(double p[]);
     printf("Problem with optionfile %s\n",optionfile);    hess=matrix(1,npar,1,npar);
     goto end;  
   }    printf("\nCalculation of the hessian matrix. Wait...\n");
     fprintf(ficlog,"\nCalculation of the hessian matrix. Wait...\n");
   strcpy(filereso,"o");    for (i=1;i<=npar;i++){
   strcat(filereso,fileres);      printf("%d",i);fflush(stdout);
   if((ficparo=fopen(filereso,"w"))==NULL) {      fprintf(ficlog,"%d",i);fflush(ficlog);
     printf("Problem with Output resultfile: %s\n", filereso);goto end;     
   }       hess[i][i]=hessii(p,ftolhess,i,delti,func,npar);
       
   /* Reads comments: lines beginning with '#' */      /*  printf(" %f ",p[i]);
   while((c=getc(ficpar))=='#' && c!= EOF){          printf(" %lf %lf %lf",hess[i][i],ftolhess,delti[i]);*/
     ungetc(c,ficpar);    }
     fgets(line, MAXLINE, ficpar);    
     puts(line);    for (i=1;i<=npar;i++) {
     fputs(line,ficparo);      for (j=1;j<=npar;j++)  {
   }        if (j>i) { 
   ungetc(c,ficpar);          printf(".%d%d",i,j);fflush(stdout);
           fprintf(ficlog,".%d%d",i,j);fflush(ficlog);
   fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncov, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);          hess[i][j]=hessij(p,delti,i,j,func,npar);
   printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncov, nlstate,ndeath, maxwav, mle, weightopt,model);          
   fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncov,nlstate,ndeath,maxwav, mle, weightopt,model);          hess[j][i]=hess[i][j];    
           /*printf(" %lf ",hess[i][j]);*/
   covar=matrix(0,NCOVMAX,1,n);        }
   cptcovn=0;      }
   if (strlen(model)>1) cptcovn=nbocc(model,'+')+1;    }
     printf("\n");
   ncovmodel=2+cptcovn;    fprintf(ficlog,"\n");
   nvar=ncovmodel-1; /* Suppressing age as a basic covariate */  
      printf("\nInverting the hessian to get the covariance matrix. Wait...\n");
   /* Read guess parameters */    fprintf(ficlog,"\nInverting the hessian to get the covariance matrix. Wait...\n");
   /* Reads comments: lines beginning with '#' */    
   while((c=getc(ficpar))=='#' && c!= EOF){    a=matrix(1,npar,1,npar);
     ungetc(c,ficpar);    y=matrix(1,npar,1,npar);
     fgets(line, MAXLINE, ficpar);    x=vector(1,npar);
     puts(line);    indx=ivector(1,npar);
     fputs(line,ficparo);    for (i=1;i<=npar;i++)
   }      for (j=1;j<=npar;j++) a[i][j]=hess[i][j];
   ungetc(c,ficpar);    ludcmp(a,npar,indx,&pd);
    
   param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);    for (j=1;j<=npar;j++) {
     for(i=1; i <=nlstate; i++)      for (i=1;i<=npar;i++) x[i]=0;
     for(j=1; j <=nlstate+ndeath-1; j++){      x[j]=1;
       fscanf(ficpar,"%1d%1d",&i1,&j1);      lubksb(a,npar,indx,x);
       fprintf(ficparo,"%1d%1d",i1,j1);      for (i=1;i<=npar;i++){ 
       printf("%1d%1d",i,j);        matcov[i][j]=x[i];
       for(k=1; k<=ncovmodel;k++){      }
         fscanf(ficpar," %lf",&param[i][j][k]);    }
         printf(" %lf",param[i][j][k]);  
         fprintf(ficparo," %lf",param[i][j][k]);    printf("\n#Hessian matrix#\n");
       }    fprintf(ficlog,"\n#Hessian matrix#\n");
       fscanf(ficpar,"\n");    for (i=1;i<=npar;i++) { 
       printf("\n");      for (j=1;j<=npar;j++) { 
       fprintf(ficparo,"\n");        printf("%.3e ",hess[i][j]);
     }        fprintf(ficlog,"%.3e ",hess[i][j]);
        }
   npar= (nlstate+ndeath-1)*nlstate*ncovmodel;      printf("\n");
   p=param[1][1];      fprintf(ficlog,"\n");
      }
   /* Reads comments: lines beginning with '#' */  
   while((c=getc(ficpar))=='#' && c!= EOF){    /* Recompute Inverse */
     ungetc(c,ficpar);    for (i=1;i<=npar;i++)
     fgets(line, MAXLINE, ficpar);      for (j=1;j<=npar;j++) a[i][j]=matcov[i][j];
     puts(line);    ludcmp(a,npar,indx,&pd);
     fputs(line,ficparo);  
   }    /*  printf("\n#Hessian matrix recomputed#\n");
   ungetc(c,ficpar);  
     for (j=1;j<=npar;j++) {
   delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);      for (i=1;i<=npar;i++) x[i]=0;
   delti=vector(1,npar); /* Scale of each paramater (output from hesscov) */      x[j]=1;
   for(i=1; i <=nlstate; i++){      lubksb(a,npar,indx,x);
     for(j=1; j <=nlstate+ndeath-1; j++){      for (i=1;i<=npar;i++){ 
       fscanf(ficpar,"%1d%1d",&i1,&j1);        y[i][j]=x[i];
       printf("%1d%1d",i,j);        printf("%.3e ",y[i][j]);
       fprintf(ficparo,"%1d%1d",i1,j1);        fprintf(ficlog,"%.3e ",y[i][j]);
       for(k=1; k<=ncovmodel;k++){      }
         fscanf(ficpar,"%le",&delti3[i][j][k]);      printf("\n");
         printf(" %le",delti3[i][j][k]);      fprintf(ficlog,"\n");
         fprintf(ficparo," %le",delti3[i][j][k]);    }
       }    */
       fscanf(ficpar,"\n");  
       printf("\n");    free_matrix(a,1,npar,1,npar);
       fprintf(ficparo,"\n");    free_matrix(y,1,npar,1,npar);
     }    free_vector(x,1,npar);
   }    free_ivector(indx,1,npar);
   delti=delti3[1][1];    free_matrix(hess,1,npar,1,npar);
    
   /* Reads comments: lines beginning with '#' */  
   while((c=getc(ficpar))=='#' && c!= EOF){  }
     ungetc(c,ficpar);  
     fgets(line, MAXLINE, ficpar);  /*************** hessian matrix ****************/
     puts(line);  double hessii(double x[], double delta, int theta, double delti[], double (*func)(double []), int npar)
     fputs(line,ficparo);  {
   }    int i;
   ungetc(c,ficpar);    int l=1, lmax=20;
      double k1,k2;
   matcov=matrix(1,npar,1,npar);    double p2[NPARMAX+1];
   for(i=1; i <=npar; i++){    double res;
     fscanf(ficpar,"%s",&str);    double delt=0.0001, delts, nkhi=10.,nkhif=1., khi=1.e-4;
     printf("%s",str);    double fx;
     fprintf(ficparo,"%s",str);    int k=0,kmax=10;
     for(j=1; j <=i; j++){    double l1;
       fscanf(ficpar," %le",&matcov[i][j]);  
       printf(" %.5le",matcov[i][j]);    fx=func(x);
       fprintf(ficparo," %.5le",matcov[i][j]);    for (i=1;i<=npar;i++) p2[i]=x[i];
     }    for(l=0 ; l <=lmax; l++){
     fscanf(ficpar,"\n");      l1=pow(10,l);
     printf("\n");      delts=delt;
     fprintf(ficparo,"\n");      for(k=1 ; k <kmax; k=k+1){
   }        delt = delta*(l1*k);
   for(i=1; i <=npar; i++)        p2[theta]=x[theta] +delt;
     for(j=i+1;j<=npar;j++)        k1=func(p2)-fx;
       matcov[i][j]=matcov[j][i];        p2[theta]=x[theta]-delt;
            k2=func(p2)-fx;
   printf("\n");        /*res= (k1-2.0*fx+k2)/delt/delt; */
         res= (k1+k2)/delt/delt/2.; /* Divided by because L and not 2*L */
         
     /*-------- data file ----------*/  #ifdef DEBUG
     if((ficres =fopen(fileres,"w"))==NULL) {        printf("%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);
       printf("Problem with resultfile: %s\n", fileres);goto end;        fprintf(ficlog,"%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);
     }  #endif
     fprintf(ficres,"#%s\n",version);        /*if(fabs(k1-2.0*fx+k2) <1.e-13){ */
            if((k1 <khi/nkhi/2.) || (k2 <khi/nkhi/2.)){
     if((fic=fopen(datafile,"r"))==NULL)    {          k=kmax;
       printf("Problem with datafile: %s\n", datafile);goto end;        }
     }        else if((k1 >khi/nkhif) || (k2 >khi/nkhif)){ /* Keeps lastvalue before 3.84/2 KHI2 5% 1d.f. */
           k=kmax; l=lmax*10.;
     n= lastobs;        }
     severity = vector(1,maxwav);        else if((k1 >khi/nkhi) || (k2 >khi/nkhi)){ 
     outcome=imatrix(1,maxwav+1,1,n);          delts=delt;
     num=ivector(1,n);        }
     moisnais=vector(1,n);      }
     annais=vector(1,n);    }
     moisdc=vector(1,n);    delti[theta]=delts;
     andc=vector(1,n);    return res; 
     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 */  double hessij( double x[], double delti[], int thetai,int thetaj,double (*func)(double []),int npar)
     mint=matrix(1,maxwav,1,n);  {
     anint=matrix(1,maxwav,1,n);    int i;
     s=imatrix(1,maxwav+1,1,n);    int l=1, l1, lmax=20;
     adl=imatrix(1,maxwav+1,1,n);        double k1,k2,k3,k4,res,fx;
     tab=ivector(1,NCOVMAX);    double p2[NPARMAX+1];
     ncodemax=ivector(1,8);    int k;
   
     i=1;    fx=func(x);
     while (fgets(line, MAXLINE, fic) != NULL)    {    for (k=1; k<=2; k++) {
       if ((i >= firstobs) && (i <=lastobs)) {      for (i=1;i<=npar;i++) p2[i]=x[i];
              p2[thetai]=x[thetai]+delti[thetai]/k;
         for (j=maxwav;j>=1;j--){      p2[thetaj]=x[thetaj]+delti[thetaj]/k;
           cutv(stra, strb,line,' '); s[j][i]=atoi(strb);      k1=func(p2)-fx;
           strcpy(line,stra);    
           cutv(stra, strb,line,'/'); anint[j][i]=(double)(atoi(strb)); strcpy(line,stra);      p2[thetai]=x[thetai]+delti[thetai]/k;
           cutv(stra, strb,line,' '); mint[j][i]=(double)(atoi(strb)); strcpy(line,stra);      p2[thetaj]=x[thetaj]-delti[thetaj]/k;
         }      k2=func(p2)-fx;
            
         cutv(stra, strb,line,'/'); andc[i]=(double)(atoi(strb)); strcpy(line,stra);      p2[thetai]=x[thetai]-delti[thetai]/k;
         cutv(stra, strb,line,' '); moisdc[i]=(double)(atoi(strb)); strcpy(line,stra);      p2[thetaj]=x[thetaj]+delti[thetaj]/k;
       k3=func(p2)-fx;
         cutv(stra, strb,line,'/'); annais[i]=(double)(atoi(strb)); strcpy(line,stra);    
         cutv(stra, strb,line,' '); moisnais[i]=(double)(atoi(strb)); strcpy(line,stra);      p2[thetai]=x[thetai]-delti[thetai]/k;
       p2[thetaj]=x[thetaj]-delti[thetaj]/k;
         cutv(stra, strb,line,' '); weight[i]=(double)(atoi(strb)); strcpy(line,stra);      k4=func(p2)-fx;
         for (j=ncov;j>=1;j--){      res=(k1-k2-k3+k4)/4.0/delti[thetai]*k/delti[thetaj]*k/2.; /* Because of L not 2*L */
           cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra);  #ifdef DEBUG
         }      printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e  res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
         num[i]=atol(stra);      fprintf(ficlog,"%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e  res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
   #endif
         /*printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]), (weight[i]), (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]),  (mint[2][i]), (anint[2][i]), (s[2][i]),  (mint[3][i]), (anint[3][i]), (s[3][i]),  (mint[4][i]), (anint[4][i]), (s[4][i]));*/    }
     return res;
         i=i+1;  }
       }  
     }  /************** Inverse of matrix **************/
   void ludcmp(double **a, int n, int *indx, double *d) 
     /*scanf("%d",i);*/  { 
   imx=i-1; /* Number of individuals */    int i,imax,j,k; 
     double big,dum,sum,temp; 
   /* Calculation of the number of parameter from char model*/    double *vv; 
   Tvar=ivector(1,15);   
   Tprod=ivector(1,15);    vv=vector(1,n); 
   Tvaraff=ivector(1,15);    *d=1.0; 
   Tvard=imatrix(1,15,1,2);    for (i=1;i<=n;i++) { 
   Tage=ivector(1,15);            big=0.0; 
          for (j=1;j<=n;j++) 
   if (strlen(model) >1){        if ((temp=fabs(a[i][j])) > big) big=temp; 
     j=0, j1=0, k1=1, k2=1;      if (big == 0.0) nrerror("Singular matrix in routine ludcmp"); 
     j=nbocc(model,'+');      vv[i]=1.0/big; 
     j1=nbocc(model,'*');    } 
     cptcovn=j+1;    for (j=1;j<=n;j++) { 
     cptcovprod=j1;      for (i=1;i<j;i++) { 
            sum=a[i][j]; 
            for (k=1;k<i;k++) sum -= a[i][k]*a[k][j]; 
     strcpy(modelsav,model);        a[i][j]=sum; 
     if ((strcmp(model,"age")==0) || (strcmp(model,"age*age")==0)){      } 
       printf("Error. Non available option model=%s ",model);      big=0.0; 
       goto end;      for (i=j;i<=n;i++) { 
     }        sum=a[i][j]; 
            for (k=1;k<j;k++) 
     for(i=(j+1); i>=1;i--){          sum -= a[i][k]*a[k][j]; 
       cutv(stra,strb,modelsav,'+');        a[i][j]=sum; 
       if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav);        if ( (dum=vv[i]*fabs(sum)) >= big) { 
       /*      printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/          big=dum; 
       /*scanf("%d",i);*/          imax=i; 
       if (strchr(strb,'*')) {        } 
         cutv(strd,strc,strb,'*');      } 
         if (strcmp(strc,"age")==0) {      if (j != imax) { 
           cptcovprod--;        for (k=1;k<=n;k++) { 
           cutv(strb,stre,strd,'V');          dum=a[imax][k]; 
           Tvar[i]=atoi(stre);          a[imax][k]=a[j][k]; 
           cptcovage++;          a[j][k]=dum; 
             Tage[cptcovage]=i;        } 
             /*printf("stre=%s ", stre);*/        *d = -(*d); 
         }        vv[imax]=vv[j]; 
         else if (strcmp(strd,"age")==0) {      } 
           cptcovprod--;      indx[j]=imax; 
           cutv(strb,stre,strc,'V');      if (a[j][j] == 0.0) a[j][j]=TINY; 
           Tvar[i]=atoi(stre);      if (j != n) { 
           cptcovage++;        dum=1.0/(a[j][j]); 
           Tage[cptcovage]=i;        for (i=j+1;i<=n;i++) a[i][j] *= dum; 
         }      } 
         else {    } 
           cutv(strb,stre,strc,'V');    free_vector(vv,1,n);  /* Doesn't work */
           Tvar[i]=ncov+k1;  ;
           cutv(strb,strc,strd,'V');  } 
           Tprod[k1]=i;  
           Tvard[k1][1]=atoi(strc);  void lubksb(double **a, int n, int *indx, double b[]) 
           Tvard[k1][2]=atoi(stre);  { 
           Tvar[cptcovn+k2]=Tvard[k1][1];    int i,ii=0,ip,j; 
           Tvar[cptcovn+k2+1]=Tvard[k1][2];    double sum; 
           for (k=1; k<=lastobs;k++)   
             covar[ncov+k1][k]=covar[atoi(stre)][k]*covar[atoi(strc)][k];    for (i=1;i<=n;i++) { 
           k1++;      ip=indx[i]; 
           k2=k2+2;      sum=b[ip]; 
         }      b[ip]=b[i]; 
       }      if (ii) 
       else {        for (j=ii;j<=i-1;j++) sum -= a[i][j]*b[j]; 
         /*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/      else if (sum) ii=i; 
        /*  scanf("%d",i);*/      b[i]=sum; 
       cutv(strd,strc,strb,'V');    } 
       Tvar[i]=atoi(strc);    for (i=n;i>=1;i--) { 
       }      sum=b[i]; 
       strcpy(modelsav,stra);        for (j=i+1;j<=n;j++) sum -= a[i][j]*b[j]; 
       /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);      b[i]=sum/a[i][i]; 
         scanf("%d",i);*/    } 
     }  } 
 }  
    void pstamp(FILE *fichier)
   /*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(fichier,"# %s.%s\n#%s\n#%s\n# %s", optionfilefiname,optionfilext,version,fullversion,strstart);
   scanf("%d ",i);*/  }
     fclose(fic);  
   /************ Frequencies ********************/
     /*  if(mle==1){*/  void  freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, int *Tvaraff, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[])
     if (weightopt != 1) { /* Maximisation without weights*/  {  /* Some frequencies */
       for(i=1;i<=n;i++) weight[i]=1.0;    
     }    int i, m, jk, k1,i1, j1, bool, z1,z2,j;
     /*-calculation of age at interview from date of interview and age at death -*/    int first;
     agev=matrix(1,maxwav,1,imx);    double ***freq; /* Frequencies */
        double *pp, **prop;
     for (i=1; i<=imx; i++)  {    double pos,posprop, k2, dateintsum=0,k2cpt=0;
       agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);    char fileresp[FILENAMELENGTH];
       for(m=1; (m<= maxwav); m++){    
         if(s[m][i] >0){    pp=vector(1,nlstate);
           if (s[m][i] == nlstate+1) {    prop=matrix(1,nlstate,iagemin,iagemax+3);
             if(agedc[i]>0)    strcpy(fileresp,"p");
               if(moisdc[i]!=99 && andc[i]!=9999)    strcat(fileresp,fileres);
               agev[m][i]=agedc[i];    if((ficresp=fopen(fileresp,"w"))==NULL) {
             else {      printf("Problem with prevalence resultfile: %s\n", fileresp);
               if (andc[i]!=9999){      fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);
               printf("Warning negative age at death: %d line:%d\n",num[i],i);      exit(0);
               agev[m][i]=-1;    }
               }    freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin,iagemax+3);
             }    j1=0;
           }    
           else if(s[m][i] !=9){ /* Should no more exist */    j=cptcoveff;
             agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);    if (cptcovn<1) {j=1;ncodemax[1]=1;}
             if(mint[m][i]==99 || anint[m][i]==9999)  
               agev[m][i]=1;    first=1;
             else if(agev[m][i] <agemin){  
               agemin=agev[m][i];    for(k1=1; k1<=j;k1++){
               /*printf(" Min anint[%d][%d]=%.2f annais[%d]=%.2f, agemin=%.2f\n",m,i,anint[m][i], i,annais[i], agemin);*/      for(i1=1; i1<=ncodemax[k1];i1++){
             }        j1++;
             else if(agev[m][i] >agemax){        /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);
               agemax=agev[m][i];          scanf("%d", i);*/
              /* printf(" anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.0f\n",m,i,anint[m][i], i,annais[i], agemax);*/        for (i=-5; i<=nlstate+ndeath; i++)  
             }          for (jk=-5; jk<=nlstate+ndeath; jk++)  
             /*agev[m][i]=anint[m][i]-annais[i];*/            for(m=iagemin; m <= iagemax+3; m++)
             /*   agev[m][i] = age[i]+2*m;*/              freq[i][jk][m]=0;
           }  
           else { /* =9 */      for (i=1; i<=nlstate; i++)  
             agev[m][i]=1;        for(m=iagemin; m <= iagemax+3; m++)
             s[m][i]=-1;          prop[i][m]=0;
           }        
         }        dateintsum=0;
         else /*= 0 Unknown */        k2cpt=0;
           agev[m][i]=1;        for (i=1; i<=imx; i++) {
       }          bool=1;
              if  (cptcovn>0) {
     }            for (z1=1; z1<=cptcoveff; z1++) 
     for (i=1; i<=imx; i++)  {              if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]) 
       for(m=1; (m<= maxwav); m++){                bool=0;
         if (s[m][i] > (nlstate+ndeath)) {          }
           printf("Error: Wrong value in nlstate or ndeath\n");            if (bool==1){
           goto end;            for(m=firstpass; m<=lastpass; m++){
         }              k2=anint[m][i]+(mint[m][i]/12.);
       }              /*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/
     }                if(agev[m][i]==0) agev[m][i]=iagemax+1;
                 if(agev[m][i]==1) agev[m][i]=iagemax+2;
 printf("Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);                if (s[m][i]>0 && s[m][i]<=nlstate) prop[s[m][i]][(int)agev[m][i]] += weight[i];
                 if (m<lastpass) {
     free_vector(severity,1,maxwav);                  freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];
     free_imatrix(outcome,1,maxwav+1,1,n);                  freq[s[m][i]][s[m+1][i]][iagemax+3] += weight[i];
     free_vector(moisnais,1,n);                }
     free_vector(annais,1,n);                
     free_matrix(mint,1,maxwav,1,n);                if ((agev[m][i]>1) && (agev[m][i]< (iagemax+3))) {
     free_matrix(anint,1,maxwav,1,n);                  dateintsum=dateintsum+k2;
     free_vector(moisdc,1,n);                  k2cpt++;
     free_vector(andc,1,n);                }
                 /*}*/
                }
     wav=ivector(1,imx);          }
     dh=imatrix(1,lastpass-firstpass+1,1,imx);        }
     mw=imatrix(1,lastpass-firstpass+1,1,imx);         
            /*      fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
     /* Concatenates waves */        pstamp(ficresp);
       concatwav(wav, dh, mw, s, agedc, agev,  firstpass, lastpass, imx, nlstate, stepm);        if  (cptcovn>0) {
           fprintf(ficresp, "\n#********** Variable "); 
           for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
       Tcode=ivector(1,100);          fprintf(ficresp, "**********\n#");
       nbcode=imatrix(0,NCOVMAX,0,NCOVMAX);        }
       ncodemax[1]=1;        for(i=1; i<=nlstate;i++) 
       if (cptcovn > 0) tricode(Tvar,nbcode,imx);          fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);
              fprintf(ficresp, "\n");
    codtab=imatrix(1,100,1,10);        
    h=0;        for(i=iagemin; i <= iagemax+3; i++){
    m=pow(2,cptcoveff);          if(i==iagemax+3){
              fprintf(ficlog,"Total");
    for(k=1;k<=cptcoveff; k++){          }else{
      for(i=1; i <=(m/pow(2,k));i++){            if(first==1){
        for(j=1; j <= ncodemax[k]; j++){              first=0;
          for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){              printf("See log file for details...\n");
            h++;            }
            if (h>m) h=1;codtab[h][k]=j;            fprintf(ficlog,"Age %d", i);
          }          }
        }          for(jk=1; jk <=nlstate ; jk++){
      }            for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++)
    }              pp[jk] += freq[jk][m][i]; 
           }
           for(jk=1; jk <=nlstate ; jk++){
    /*for(i=1; i <=m ;i++){            for(m=-1, pos=0; m <=0 ; m++)
      for(k=1; k <=cptcovn; k++){              pos += freq[jk][m][i];
        printf("i=%d k=%d %d %d",i,k,codtab[i][k], cptcoveff);            if(pp[jk]>=1.e-10){
      }              if(first==1){
      printf("\n");              printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
    }              }
    scanf("%d",i);*/              fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
                }else{
    /* Calculates basic frequencies. Computes observed prevalence at single age              if(first==1)
        and prints on file fileres'p'. */                printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk);
   freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax);              fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk);
             }
     pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */          }
     oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */  
     newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */          for(jk=1; jk <=nlstate ; jk++){
     savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */            for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)
     oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */              pp[jk] += freq[jk][m][i];
              }       
     /* For Powell, parameters are in a vector p[] starting at p[1]          for(jk=1,pos=0,posprop=0; jk <=nlstate ; jk++){
        so we point p on param[1][1] so that p[1] maps on param[1][1][1] */            pos += pp[jk];
     p=param[1][1]; /* *(*(*(param +1)+1)+0) */            posprop += prop[jk][i];
           }
     if(mle==1){          for(jk=1; jk <=nlstate ; jk++){
     mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);            if(pos>=1.e-5){
     }              if(first==1)
                    printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos);
     /*--------- results files --------------*/              fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos);
     fprintf(ficres,"\ntitle=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncov, nlstate, ndeath, maxwav, mle,weightopt,model);            }else{
                  if(first==1)
    jk=1;                printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
    fprintf(ficres,"# Parameters\n");              fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
    printf("# Parameters\n");            }
    for(i=1,jk=1; i <=nlstate; i++){            if( i <= iagemax){
      for(k=1; k <=(nlstate+ndeath); k++){              if(pos>=1.e-5){
        if (k != i)                fprintf(ficresp," %d %.5f %.0f %.0f",i,prop[jk][i]/posprop, prop[jk][i],posprop);
          {                /*probs[i][jk][j1]= pp[jk]/pos;*/
            printf("%d%d ",i,k);                /*printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);*/
            fprintf(ficres,"%1d%1d ",i,k);              }
            for(j=1; j <=ncovmodel; j++){              else
              printf("%f ",p[jk]);                fprintf(ficresp," %d NaNq %.0f %.0f",i,prop[jk][i],posprop);
              fprintf(ficres,"%f ",p[jk]);            }
              jk++;          }
            }          
            printf("\n");          for(jk=-1; jk <=nlstate+ndeath; jk++)
            fprintf(ficres,"\n");            for(m=-1; m <=nlstate+ndeath; m++)
          }              if(freq[jk][m][i] !=0 ) {
      }              if(first==1)
    }                printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);
  if(mle==1){                fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]);
     /* Computing hessian and covariance matrix */              }
     ftolhess=ftol; /* Usually correct */          if(i <= iagemax)
     hesscov(matcov, p, npar, delti, ftolhess, func);            fprintf(ficresp,"\n");
  }          if(first==1)
     fprintf(ficres,"# Scales\n");            printf("Others in log...\n");
     printf("# Scales\n");          fprintf(ficlog,"\n");
      for(i=1,jk=1; i <=nlstate; i++){        }
       for(j=1; j <=nlstate+ndeath; j++){      }
         if (j!=i) {    }
           fprintf(ficres,"%1d%1d",i,j);    dateintmean=dateintsum/k2cpt; 
           printf("%1d%1d",i,j);   
           for(k=1; k<=ncovmodel;k++){    fclose(ficresp);
             printf(" %.5e",delti[jk]);    free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin, iagemax+3);
             fprintf(ficres," %.5e",delti[jk]);    free_vector(pp,1,nlstate);
             jk++;    free_matrix(prop,1,nlstate,iagemin, iagemax+3);
           }    /* End of Freq */
           printf("\n");  }
           fprintf(ficres,"\n");  
         }  /************ Prevalence ********************/
       }  void prevalence(double ***probs, double agemin, double agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, int firstpass, int lastpass)
       }  {  
        /* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people
     k=1;       in each health status at the date of interview (if between dateprev1 and dateprev2).
     fprintf(ficres,"# Covariance\n");       We still use firstpass and lastpass as another selection.
     printf("# Covariance\n");    */
     for(i=1;i<=npar;i++){   
       /*  if (k>nlstate) k=1;    int i, m, jk, k1, i1, j1, bool, z1,z2,j;
       i1=(i-1)/(ncovmodel*nlstate)+1;    double ***freq; /* Frequencies */
       fprintf(ficres,"%s%d%d",alph[k],i1,tab[i]);    double *pp, **prop;
       printf("%s%d%d",alph[k],i1,tab[i]);*/    double pos,posprop; 
       fprintf(ficres,"%3d",i);    double  y2; /* in fractional years */
       printf("%3d",i);    int iagemin, iagemax;
       for(j=1; j<=i;j++){  
         fprintf(ficres," %.5e",matcov[i][j]);    iagemin= (int) agemin;
         printf(" %.5e",matcov[i][j]);    iagemax= (int) agemax;
       }    /*pp=vector(1,nlstate);*/
       fprintf(ficres,"\n");    prop=matrix(1,nlstate,iagemin,iagemax+3); 
       printf("\n");    /*  freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/
       k++;    j1=0;
     }    
        j=cptcoveff;
     while((c=getc(ficpar))=='#' && c!= EOF){    if (cptcovn<1) {j=1;ncodemax[1]=1;}
       ungetc(c,ficpar);    
       fgets(line, MAXLINE, ficpar);    for(k1=1; k1<=j;k1++){
       puts(line);      for(i1=1; i1<=ncodemax[k1];i1++){
       fputs(line,ficparo);        j1++;
     }        
     ungetc(c,ficpar);        for (i=1; i<=nlstate; i++)  
            for(m=iagemin; m <= iagemax+3; m++)
     fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf\n",&agemin,&agemax, &bage, &fage);            prop[i][m]=0.0;
           
     if (fage <= 2) {        for (i=1; i<=imx; i++) { /* Each individual */
       bage = agemin;          bool=1;
       fage = agemax;          if  (cptcovn>0) {
     }            for (z1=1; z1<=cptcoveff; z1++) 
               if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]) 
     fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n");                bool=0;
     fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",agemin,agemax,bage,fage);          } 
           if (bool==1) { 
                for(m=firstpass; m<=lastpass; m++){/* Other selection (we can limit to certain interviews*/
 /*------------ gnuplot -------------*/              y2=anint[m][i]+(mint[m][i]/12.); /* Fractional date in year */
 chdir(pathcd);              if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */
   if((ficgp=fopen("graph.plt","w"))==NULL) {                if(agev[m][i]==0) agev[m][i]=iagemax+1;
     printf("Problem with file graph.gp");goto end;                if(agev[m][i]==1) agev[m][i]=iagemax+2;
   }                if((int)agev[m][i] <iagemin || (int)agev[m][i] >iagemax+3) printf("Error on individual =%d agev[m][i]=%f m=%d\n",i, agev[m][i],m); 
 #ifdef windows                if (s[m][i]>0 && s[m][i]<=nlstate) { 
   fprintf(ficgp,"cd \"%s\" \n",pathc);                  /*if(i>4620) printf(" i=%d m=%d s[m][i]=%d (int)agev[m][i]=%d weight[i]=%f prop=%f\n",i,m,s[m][i],(int)agev[m][m],weight[i],prop[s[m][i]][(int)agev[m][i]]);*/
 #endif                  prop[s[m][i]][(int)agev[m][i]] += weight[i];
 m=pow(2,cptcoveff);                  prop[s[m][i]][iagemax+3] += weight[i]; 
                  } 
  /* 1eme*/              }
   for (cpt=1; cpt<= nlstate ; cpt ++) {            } /* end selection of waves */
    for (k1=1; k1<= m ; k1 ++) {          }
         }
 #ifdef windows        for(i=iagemin; i <= iagemax+3; i++){  
     fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter gif small size 400,300\nplot [%.f:%.f] \"vpl%s\" every :::%d::%d u 1:2 \"\%%lf",agemin,fage,fileres,k1-1,k1-1);          
 #endif          for(jk=1,posprop=0; jk <=nlstate ; jk++) { 
 #ifdef unix            posprop += prop[jk][i]; 
 fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nplot [%.f:%.f] \"vpl%s\" u 1:2 \"\%%lf",agemin,fage,fileres);          } 
 #endif  
           for(jk=1; jk <=nlstate ; jk++){     
 for (i=1; i<= nlstate ; i ++) {            if( i <=  iagemax){ 
   if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");              if(posprop>=1.e-5){ 
   else fprintf(ficgp," \%%*lf (\%%*lf)");                probs[i][jk][j1]= prop[jk][i]/posprop;
 }              } 
     fprintf(ficgp,"\" t\"Stationary prevalence\" w l 0,\"vpl%s\" every :::%d::%d u 1:($2+2*$3) \"\%%lf",fileres,k1-1,k1-1);            } 
     for (i=1; i<= nlstate ; i ++) {          }/* end jk */ 
   if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");        }/* end i */ 
   else fprintf(ficgp," \%%*lf (\%%*lf)");      } /* end i1 */
 }    } /* end k1 */
   fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"vpl%s\" every :::%d::%d u 1:($2-2*$3) \"\%%lf",fileres,k1-1,k1-1);    
      for (i=1; i<= nlstate ; i ++) {    /*  free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/
   if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");    /*free_vector(pp,1,nlstate);*/
   else fprintf(ficgp," \%%*lf (\%%*lf)");    free_matrix(prop,1,nlstate, iagemin,iagemax+3);
 }    }  /* End of prevalence */
      fprintf(ficgp,"\" t\"\" w l 1,\"p%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",fileres,k1-1,k1-1,2+4*(cpt-1));  
 #ifdef unix  /************* Waves Concatenation ***************/
 fprintf(ficgp,"\nset ter gif small size 400,300");  
 #endif  void  concatwav(int wav[], int **dh, int **bh,  int **mw, int **s, double *agedc, double **agev, int  firstpass, int lastpass, int imx, int nlstate, int stepm)
 fprintf(ficgp,"\nset out \"v%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1);  {
    }    /* Concatenates waves: wav[i] is the number of effective (useful waves) of individual i.
   }       Death is a valid wave (if date is known).
   /*2 eme*/       mw[mi][i] is the mi (mi=1 to wav[i])  effective wave of individual i
        dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i]
   for (k1=1; k1<= m ; k1 ++) {       and mw[mi+1][i]. dh depends on stepm.
     fprintf(ficgp,"set ylabel \"Years\" \nset ter gif small size 400,300\nplot [%.f:%.f] ",agemin,fage);       */
      
     for (i=1; i<= nlstate+1 ; i ++) {    int i, mi, m;
       k=2*i;    /* int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1;
       fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:2 \"\%%lf",fileres,k1-1,k1-1);       double sum=0., jmean=0.;*/
       for (j=1; j<= nlstate+1 ; j ++) {    int first;
   if (j==i) fprintf(ficgp," \%%lf (\%%lf)");    int j, k=0,jk, ju, jl;
   else fprintf(ficgp," \%%*lf (\%%*lf)");    double sum=0.;
 }      first=0;
       if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,");    jmin=1e+5;
       else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1);    jmax=-1;
     fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2-$3*2) \"\%%lf",fileres,k1-1,k1-1);    jmean=0.;
       for (j=1; j<= nlstate+1 ; j ++) {    for(i=1; i<=imx; i++){
         if (j==i) fprintf(ficgp," \%%lf (\%%lf)");      mi=0;
         else fprintf(ficgp," \%%*lf (\%%*lf)");      m=firstpass;
 }        while(s[m][i] <= nlstate){
       fprintf(ficgp,"\" t\"\" w l 0,");        if(s[m][i]>=1 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5)
      fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",fileres,k1-1,k1-1);          mw[++mi][i]=m;
       for (j=1; j<= nlstate+1 ; j ++) {        if(m >=lastpass)
   if (j==i) fprintf(ficgp," \%%lf (\%%lf)");          break;
   else fprintf(ficgp," \%%*lf (\%%*lf)");        else
 }            m++;
       if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l 0");      }/* end while */
       else fprintf(ficgp,"\" t\"\" w l 0,");      if (s[m][i] > nlstate){
     }        mi++;     /* Death is another wave */
     fprintf(ficgp,"\nset out \"e%s%d.gif\" \nreplot\n\n",strtok(optionfile, "."),k1);        /* if(mi==0)  never been interviewed correctly before death */
   }           /* Only death is a correct wave */
          mw[mi][i]=m;
   /*3eme*/      }
   
   for (k1=1; k1<= m ; k1 ++) {      wav[i]=mi;
     for (cpt=1; cpt<= nlstate ; cpt ++) {      if(mi==0){
       k=2+nlstate*(cpt-1);        nbwarn++;
       fprintf(ficgp,"set ter gif small size 400,300\nplot [%.f:%.f] \"e%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",agemin,fage,fileres,k1-1,k1-1,k,cpt);        if(first==0){
       for (i=1; i< nlstate ; i ++) {          printf("Warning! No valid information for individual %ld line=%d (skipped) and may be others, see log file\n",num[i],i);
         fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",fileres,k1-1,k1-1,k+i,cpt,i+1);          first=1;
       }        }
       fprintf(ficgp,"\nset out \"exp%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1);        if(first==1){
     }          fprintf(ficlog,"Warning! No valid information for individual %ld line=%d (skipped)\n",num[i],i);
   }        }
        } /* end mi==0 */
   /* CV preval stat */    } /* End individuals */
   for (k1=1; k1<= m ; k1 ++) {  
     for (cpt=1; cpt<nlstate ; cpt ++) {    for(i=1; i<=imx; i++){
       k=3;      for(mi=1; mi<wav[i];mi++){
       fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter gif small size 400,300\nplot [%.f:%.f] \"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",agemin,agemax,fileres,k1,k+cpt+1,k+1);        if (stepm <=0)
       for (i=1; i< nlstate ; i ++)          dh[mi][i]=1;
         fprintf(ficgp,"+$%d",k+i+1);        else{
       fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);          if (s[mw[mi+1][i]][i] > nlstate) { /* A death */
                  if (agedc[i] < 2*AGESUP) {
       l=3+(nlstate+ndeath)*cpt;              j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12); 
       fprintf(ficgp,",\"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",fileres,k1,l+cpt+1,l+1);              if(j==0) j=1;  /* Survives at least one month after exam */
       for (i=1; i< nlstate ; i ++) {              else if(j<0){
         l=3+(nlstate+ndeath)*cpt;                nberr++;
         fprintf(ficgp,"+$%d",l+i+1);                printf("Error! Negative delay (%d to death) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
       }                j=1; /* Temporary Dangerous patch */
       fprintf(ficgp,")) t\"prev(%d,%d)\" w l\n",cpt+1,cpt+1);                  printf("   We assumed that the date of interview was correct (and not the date of death) and postponed the death %d month(s) (one stepm) after the interview. You MUST fix the contradiction between dates.\n",stepm);
       fprintf(ficgp,"set out \"p%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1);                fprintf(ficlog,"Error! Negative delay (%d to death) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
     }                fprintf(ficlog,"   We assumed that the date of interview was correct (and not the date of death) and postponed the death %d month(s) (one stepm) after the interview. You MUST fix the contradiction between dates.\n",stepm);
   }              }
               k=k+1;
   /* proba elementaires */              if (j >= jmax){
    for(i=1,jk=1; i <=nlstate; i++){                jmax=j;
     for(k=1; k <=(nlstate+ndeath); k++){                ijmax=i;
       if (k != i) {              }
         for(j=1; j <=ncovmodel; j++){              if (j <= jmin){
           /*fprintf(ficgp,"%s%1d%1d=%f ",alph[j],i,k,p[jk]);*/                jmin=j;
           /*fprintf(ficgp,"%s",alph[1]);*/                ijmin=i;
           fprintf(ficgp,"p%d=%f ",jk,p[jk]);              }
           jk++;              sum=sum+j;
           fprintf(ficgp,"\n");              /*if (j<0) printf("j=%d num=%d \n",j,i);*/
         }              /*    printf("%d %d %d %d\n", s[mw[mi][i]][i] ,s[mw[mi+1][i]][i],j,i);*/
       }            }
     }          }
     }          else{
             j= rint( (agev[mw[mi+1][i]][i]*12 - agev[mw[mi][i]][i]*12));
   for(jk=1; jk <=m; jk++) {  /*        if (j<0) printf("%d %lf %lf %d %d %d\n", i,agev[mw[mi+1][i]][i], agev[mw[mi][i]][i],j,s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]); */
   fprintf(ficgp,"\nset ter gif small size 400,300\nset log y\nplot  [%.f:%.f] ",agemin,agemax);  
    i=1;            k=k+1;
    for(k2=1; k2<=nlstate; k2++) {            if (j >= jmax) {
      k3=i;              jmax=j;
      for(k=1; k<=(nlstate+ndeath); k++) {              ijmax=i;
        if (k != k2){            }
         fprintf(ficgp," exp(p%d+p%d*x",i,i+1);            else if (j <= jmin){
 ij=1;              jmin=j;
         for(j=3; j <=ncovmodel; j++) {              ijmin=i;
           if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {            }
             fprintf(ficgp,"+p%d*%d*x",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);            /*        if (j<10) printf("j=%d jmin=%d num=%d ",j,jmin,i); */
             ij++;            /*printf("%d %lf %d %d %d\n", i,agev[mw[mi][i]][i],j,s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);*/
           }            if(j<0){
           else              nberr++;
           fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);              printf("Error! Negative delay (%d) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
         }              fprintf(ficlog,"Error! Negative delay (%d) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
           fprintf(ficgp,")/(1");            }
                    sum=sum+j;
         for(k1=1; k1 <=nlstate; k1++){            }
           fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1);          jk= j/stepm;
 ij=1;          jl= j -jk*stepm;
           for(j=3; j <=ncovmodel; j++){          ju= j -(jk+1)*stepm;
           if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {          if(mle <=1){ /* only if we use a the linear-interpoloation pseudo-likelihood */
             fprintf(ficgp,"+p%d*%d*x",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);            if(jl==0){
             ij++;              dh[mi][i]=jk;
           }              bh[mi][i]=0;
           else            }else{ /* We want a negative bias in order to only have interpolation ie
             fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);                    * at the price of an extra matrix product in likelihood */
           }              dh[mi][i]=jk+1;
           fprintf(ficgp,")");              bh[mi][i]=ju;
         }            }
         fprintf(ficgp,") t \"p%d%d\" ", k2,k);          }else{
         if ((k+k2)!= (nlstate*2+ndeath)) fprintf(ficgp,",");            if(jl <= -ju){
         i=i+ncovmodel;              dh[mi][i]=jk;
        }              bh[mi][i]=jl;       /* bias is positive if real duration
      }                                   * is higher than the multiple of stepm and negative otherwise.
    }                                   */
    fprintf(ficgp,"\nset out \"pe%s%d.gif\" \nreplot\n\n",strtok(optionfile, "."),jk);            }
   }            else{
                  dh[mi][i]=jk+1;
   fclose(ficgp);              bh[mi][i]=ju;
                }
 chdir(path);            if(dh[mi][i]==0){
     free_matrix(agev,1,maxwav,1,imx);              dh[mi][i]=1; /* At least one step */
     free_ivector(wav,1,imx);              bh[mi][i]=ju; /* At least one step */
     free_imatrix(dh,1,lastpass-firstpass+1,1,imx);              /*  printf(" bh=%d ju=%d jl=%d dh=%d jk=%d stepm=%d %d\n",bh[mi][i],ju,jl,dh[mi][i],jk,stepm,i);*/
     free_imatrix(mw,1,lastpass-firstpass+1,1,imx);            }
              } /* end if mle */
     free_imatrix(s,1,maxwav+1,1,n);        }
          } /* end wave */
        }
     free_ivector(num,1,n);    jmean=sum/k;
     free_vector(agedc,1,n);    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);
     free_vector(weight,1,n);    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);
     /*free_matrix(covar,1,NCOVMAX,1,n);*/   }
     fclose(ficparo);  
     fclose(ficres);  /*********** Tricode ****************************/
     /*  }*/  void tricode(int *Tvar, int **nbcode, int imx)
      {
    /*________fin mle=1_________*/    
        int Ndum[20],ij=1, k, j, i, maxncov=19;
     int cptcode=0;
      cptcoveff=0; 
     /* No more information from the sample is required now */   
   /* Reads comments: lines beginning with '#' */    for (k=0; k<maxncov; k++) Ndum[k]=0;
   while((c=getc(ficpar))=='#' && c!= EOF){    for (k=1; k<=7; k++) ncodemax[k]=0;
     ungetc(c,ficpar);  
     fgets(line, MAXLINE, ficpar);    for (j=1; j<=(cptcovn+2*cptcovprod); j++) {
     puts(line);      for (i=1; i<=imx; i++) { /*reads the data file to get the maximum 
     fputs(line,ficparo);                                 modality*/ 
   }        ij=(int)(covar[Tvar[j]][i]); /* ij is the modality of this individual*/
   ungetc(c,ficpar);        Ndum[ij]++; /*store the modality */
          /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/
   fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf\n",&agemin,&agemax, &bage, &fage);        if (ij > cptcode) cptcode=ij; /* getting the maximum of covariable 
   printf("agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",agemin,agemax, bage, fage);                                         Tvar[j]. If V=sex and male is 0 and 
   fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",agemin,agemax,bage,fage);                                         female is 1, then  cptcode=1.*/
 /*--------- index.htm --------*/      }
   
   strcpy(optionfilehtm,optionfile);      for (i=0; i<=cptcode; i++) {
   strcat(optionfilehtm,".htm");        if(Ndum[i]!=0) ncodemax[j]++; /* Nomber of modalities of the j th covariates. In fact ncodemax[j]=2 (dichotom. variables) but it can be more */
   if((fichtm=fopen(optionfilehtm,"w"))==NULL)    {      }
     printf("Problem with %s \n",optionfilehtm);goto end;  
   }      ij=1; 
       for (i=1; i<=ncodemax[j]; i++) {
  fprintf(fichtm,"<body><ul> <font size=\"6\">Imach, Version 0.64b </font> <hr size=\"2\" color=\"#EC5E5E\">        for (k=0; k<= maxncov; k++) {
 Titre=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>          if (Ndum[k] != 0) {
 Total number of observations=%d <br>            nbcode[Tvar[j]][ij]=k; 
 Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>            /* store the modality in an array. k is a modality. If we have model=V1+V1*sex then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */
 <hr  size=\"2\" color=\"#EC5E5E\">            
 <li>Outputs files<br><br>\n            ij++;
         - Observed prevalence in each state: <a href=\"p%s\">p%s</a> <br>\n          }
 - Estimated parameters and the covariance matrix: <a href=\"%s\">%s</a> <br>          if (ij > ncodemax[j]) break; 
         - Stationary prevalence in each state: <a href=\"pl%s\">pl%s</a> <br>        }  
         - Transition probabilities: <a href=\"pij%s\">pij%s</a><br>      } 
         - Copy of the parameter file: <a href=\"o%s\">o%s</a><br>    }  
         - Life expectancies by age and initial health status: <a href=\"e%s\">e%s</a> <br>  
         - Variances of life expectancies by age and initial health status: <a href=\"v%s\">v%s</a><br>   for (k=0; k< maxncov; k++) Ndum[k]=0;
         - Health expectancies with their variances: <a href=\"t%s\">t%s</a> <br>  
         - Standard deviation of stationary prevalences: <a href=\"vpl%s\">vpl%s</a> <br><br>",title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres);   for (i=1; i<=ncovmodel-2; i++) { 
      /* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/
  fprintf(fichtm," <li>Graphs</li><p>");     ij=Tvar[i];
      Ndum[ij]++;
  m=cptcoveff;   }
  if (cptcovn < 1) {m=1;ncodemax[1]=1;}  
    ij=1;
  j1=0;   for (i=1; i<= maxncov; i++) {
  for(k1=1; k1<=m;k1++){     if((Ndum[i]!=0) && (i<=ncovcol)){
    for(i1=1; i1<=ncodemax[k1];i1++){       Tvaraff[ij]=i; /*For printing */
        j1++;       ij++;
        if (cptcovn > 0) {     }
          fprintf(fichtm,"<hr  size=\"2\" color=\"#EC5E5E\">************ Results for covariates");   }
          for (cpt=1; cpt<=cptcoveff;cpt++)   
            fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[j1][cpt]]);   cptcoveff=ij-1; /*Number of simple covariates*/
          fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");  }
        }  
        fprintf(fichtm,"<br>- Probabilities: pe%s%d.gif<br>  /*********** Health Expectancies ****************/
 <img src=\"pe%s%d.gif\">",strtok(optionfile, "."),j1,strtok(optionfile, "."),j1);      
        for(cpt=1; cpt<nlstate;cpt++){  void evsij(char fileres[], double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,char strstart[] )
          fprintf(fichtm,"<br>- Prevalence of disability : p%s%d%d.gif<br>  
 <img src=\"p%s%d%d.gif\">",strtok(optionfile, "."),cpt,j1,strtok(optionfile, "."),cpt,j1);  {
        }    /* Health expectancies, no variances */
     for(cpt=1; cpt<=nlstate;cpt++) {    int i, j, nhstepm, hstepm, h, nstepm, k, cptj, cptj2, i2, j2;
        fprintf(fichtm,"<br>- Observed and stationary prevalence (with confident    double age, agelim, hf;
 interval) in state (%d): v%s%d%d.gif <br>    double ***p3mat;
 <img src=\"v%s%d%d.gif\">",cpt,strtok(optionfile, "."),cpt,j1,strtok(optionfile, "."),cpt,j1);      double eip;
      }  
      for(cpt=1; cpt<=nlstate;cpt++) {    pstamp(ficreseij);
         fprintf(fichtm,"\n<br>- Health life expectancies by age and initial health state (%d): exp%s%d%d.gif <br>    fprintf(ficreseij,"# (a) Life expectancies by health status at initial age and (b) health expectancies by health status at initial age\n");
 <img src=\"exp%s%d%d.gif\">",cpt,strtok(optionfile, "."),cpt,j1,strtok(optionfile, "."),cpt,j1);    fprintf(ficreseij,"# Age");
      }    for(i=1; i<=nlstate;i++){
      fprintf(fichtm,"\n<br>- Total life expectancy by age and      for(j=1; j<=nlstate;j++){
 health expectancies in states (1) and (2): e%s%d.gif<br>        fprintf(ficreseij," e%1d%1d ",i,j);
 <img src=\"e%s%d.gif\">",strtok(optionfile, "."),j1,strtok(optionfile, "."),j1);      }
 fprintf(fichtm,"\n</body>");      fprintf(ficreseij," e%1d. ",i);
    }    }
  }    fprintf(ficreseij,"\n");
 fclose(fichtm);  
     
   /*--------------- Prevalence limit --------------*/    if(estepm < stepm){
        printf ("Problem %d lower than %d\n",estepm, stepm);
   strcpy(filerespl,"pl");    }
   strcat(filerespl,fileres);    else  hstepm=estepm;   
   if((ficrespl=fopen(filerespl,"w"))==NULL) {    /* We compute the life expectancy from trapezoids spaced every estepm months
     printf("Problem with Prev limit resultfile: %s\n", filerespl);goto end;     * This is mainly to measure the difference between two models: for example
   }     * if stepm=24 months pijx are given only every 2 years and by summing them
   printf("Computing prevalence limit: result on file '%s' \n", filerespl);     * we are calculating an estimate of the Life Expectancy assuming a linear 
   fprintf(ficrespl,"#Prevalence limit\n");     * progression in between and thus overestimating or underestimating according
   fprintf(ficrespl,"#Age ");     * to the curvature of the survival function. If, for the same date, we 
   for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);     * estimate the model with stepm=1 month, we can keep estepm to 24 months
   fprintf(ficrespl,"\n");     * to compare the new estimate of Life expectancy with the same linear 
       * hypothesis. A more precise result, taking into account a more precise
   prlim=matrix(1,nlstate,1,nlstate);     * curvature will be obtained if estepm is as small as stepm. */
   pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */  
   oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */    /* For example we decided to compute the life expectancy with the smallest unit */
   newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */    /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm. 
   savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */       nhstepm is the number of hstepm from age to agelim 
   oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */       nstepm is the number of stepm from age to agelin. 
   k=0;       Look at hpijx to understand the reason of that which relies in memory size
   agebase=agemin;       and note for a fixed period like estepm months */
   agelim=agemax;    /* We decided (b) to get a life expectancy respecting the most precise curvature of the
   ftolpl=1.e-10;       survival function given by stepm (the optimization length). Unfortunately it
   i1=cptcoveff;       means that if the survival funtion is printed only each two years of age and if
   if (cptcovn < 1){i1=1;}       you sum them up and add 1 year (area under the trapezoids) you won't get the same 
        results. So we changed our mind and took the option of the best precision.
   for(cptcov=1;cptcov<=i1;cptcov++){    */
     for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){    hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */ 
         k=k+1;  
         /*printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,Tcode[cptcode],codtab[cptcod][cptcov]);*/    agelim=AGESUP;
         fprintf(ficrespl,"\n#******");    /* nhstepm age range expressed in number of stepm */
         for(j=1;j<=cptcoveff;j++)    nstepm=(int) rint((agelim-age)*YEARM/stepm); 
           fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);    /* Typically if 20 years nstepm = 20*12/6=40 stepm */ 
         fprintf(ficrespl,"******\n");    /* if (stepm >= YEARM) hstepm=1;*/
            nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
         for (age=agebase; age<=agelim; age++){    p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
           prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);  
           fprintf(ficrespl,"%.0f",age );    for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
           for(i=1; i<=nlstate;i++)      /* Computed by stepm unit matrices, product of hstepm matrices, stored
           fprintf(ficrespl," %.5f", prlim[i][i]);         in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */
           fprintf(ficrespl,"\n");  
         }      hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij);  
       }   
     }      hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
   fclose(ficrespl);  
   /*------------- h Pij x at various ages ------------*/      /* Computing  Variances of health expectancies */
        /* Gradient is computed with plus gp and minus gm. Code is duplicated in order to
   strcpy(filerespij,"pij");  strcat(filerespij,fileres);         decrease memory allocation */
   if((ficrespij=fopen(filerespij,"w"))==NULL) {       printf("%d|",(int)age);fflush(stdout);
     printf("Problem with Pij resultfile: %s\n", filerespij);goto end;       fprintf(ficlog,"%d|",(int)age);fflush(ficlog);
   }      /* Computing expectancies */
   printf("Computing pij: result on file '%s' \n", filerespij);      for(i=1; i<=nlstate;i++)
          for(j=1; j<=nlstate;j++)
   stepsize=(int) (stepm+YEARM-1)/YEARM;          for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){
   if (stepm<=24) stepsize=2;            eij[i][j][(int)age] += (p3mat[i][j][h]+p3mat[i][j][h+1])/2.0*hf;
             
   agelim=AGESUP;  /* if((int)age==70)printf("i=%2d,j=%2d,h=%2d,age=%3d,%9.4f,%9.4f,%9.4f\n",i,j,h,(int)age,p3mat[i][j][h],hf,eij[i][j][(int)age]);*/
   hstepm=stepsize*YEARM; /* Every year of age */  
   hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */          }
    
   k=0;      fprintf(ficreseij,"%3.0f",age );
   for(cptcov=1;cptcov<=i1;cptcov++){      for(i=1; i<=nlstate;i++){
     for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){        eip=0;
       k=k+1;        for(j=1; j<=nlstate;j++){
         fprintf(ficrespij,"\n#****** ");          eip +=eij[i][j][(int)age];
         for(j=1;j<=cptcoveff;j++)          fprintf(ficreseij,"%9.4f", eij[i][j][(int)age] );
           fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);        }
         fprintf(ficrespij,"******\n");        fprintf(ficreseij,"%9.4f", eip );
              }
         for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */      fprintf(ficreseij,"\n");
           nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */  
           nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */    }
           p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);    free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
           oldm=oldms;savm=savms;    printf("\n");
           hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);      fprintf(ficlog,"\n");
           fprintf(ficrespij,"# Age");  
           for(i=1; i<=nlstate;i++)  }
             for(j=1; j<=nlstate+ndeath;j++)  
               fprintf(ficrespij," %1d-%1d",i,j);  void cvevsij(char fileres[], double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,double delti[],double **matcov,char strstart[] )
           fprintf(ficrespij,"\n");  
           for (h=0; h<=nhstepm; h++){  {
             fprintf(ficrespij,"%d %.0f %.0f",k,agedeb, agedeb+ h*hstepm/YEARM*stepm );    /* Covariances of health expectancies eij and of total life expectancies according
             for(i=1; i<=nlstate;i++)     to initial status i, ei. .
               for(j=1; j<=nlstate+ndeath;j++)    */
                 fprintf(ficrespij," %.5f", p3mat[i][j][h]);    int i, j, nhstepm, hstepm, h, nstepm, k, cptj, cptj2, i2, j2, ij, ji;
             fprintf(ficrespij,"\n");    double age, agelim, hf;
           }    double ***p3matp, ***p3matm, ***varhe;
           free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);    double **dnewm,**doldm;
           fprintf(ficrespij,"\n");    double *xp, *xm;
         }    double **gp, **gm;
     }    double ***gradg, ***trgradg;
   }    int theta;
   
   fclose(ficrespij);    double eip, vip;
   
   /*---------- Health expectancies and variances ------------*/    varhe=ma3x(1,nlstate*nlstate,1,nlstate*nlstate,(int) bage, (int) fage);
     xp=vector(1,npar);
   strcpy(filerest,"t");    xm=vector(1,npar);
   strcat(filerest,fileres);    dnewm=matrix(1,nlstate*nlstate,1,npar);
   if((ficrest=fopen(filerest,"w"))==NULL) {    doldm=matrix(1,nlstate*nlstate,1,nlstate*nlstate);
     printf("Problem with total LE resultfile: %s\n", filerest);goto end;    
   }    pstamp(ficresstdeij);
   printf("Computing Total LEs with variances: file '%s' \n", filerest);    fprintf(ficresstdeij,"# Health expectancies with standard errors\n");
     fprintf(ficresstdeij,"# Age");
     for(i=1; i<=nlstate;i++){
   strcpy(filerese,"e");      for(j=1; j<=nlstate;j++)
   strcat(filerese,fileres);        fprintf(ficresstdeij," e%1d%1d (SE)",i,j);
   if((ficreseij=fopen(filerese,"w"))==NULL) {      fprintf(ficresstdeij," e%1d. ",i);
     printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);    }
   }    fprintf(ficresstdeij,"\n");
   printf("Computing Health Expectancies: result on file '%s' \n", filerese);  
     pstamp(ficrescveij);
  strcpy(fileresv,"v");    fprintf(ficrescveij,"# Subdiagonal matrix of covariances of health expectancies by age: cov(eij,ekl)\n");
   strcat(fileresv,fileres);    fprintf(ficrescveij,"# Age");
   if((ficresvij=fopen(fileresv,"w"))==NULL) {    for(i=1; i<=nlstate;i++)
     printf("Problem with variance resultfile: %s\n", fileresv);exit(0);      for(j=1; j<=nlstate;j++){
   }        cptj= (j-1)*nlstate+i;
   printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);        for(i2=1; i2<=nlstate;i2++)
           for(j2=1; j2<=nlstate;j2++){
   k=0;            cptj2= (j2-1)*nlstate+i2;
   for(cptcov=1;cptcov<=i1;cptcov++){            if(cptj2 <= cptj)
     for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){              fprintf(ficrescveij,"  %1d%1d,%1d%1d",i,j,i2,j2);
       k=k+1;          }
       fprintf(ficrest,"\n#****** ");      }
       for(j=1;j<=cptcoveff;j++)    fprintf(ficrescveij,"\n");
         fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);    
       fprintf(ficrest,"******\n");    if(estepm < stepm){
       printf ("Problem %d lower than %d\n",estepm, stepm);
       fprintf(ficreseij,"\n#****** ");    }
       for(j=1;j<=cptcoveff;j++)    else  hstepm=estepm;   
         fprintf(ficreseij,"V%d=%d ",j,nbcode[j][codtab[k][j]]);    /* We compute the life expectancy from trapezoids spaced every estepm months
       fprintf(ficreseij,"******\n");     * This is mainly to measure the difference between two models: for example
      * if stepm=24 months pijx are given only every 2 years and by summing them
       fprintf(ficresvij,"\n#****** ");     * we are calculating an estimate of the Life Expectancy assuming a linear 
       for(j=1;j<=cptcoveff;j++)     * progression in between and thus overestimating or underestimating according
         fprintf(ficresvij,"V%d=%d ",j,nbcode[j][codtab[k][j]]);     * to the curvature of the survival function. If, for the same date, we 
       fprintf(ficresvij,"******\n");     * estimate the model with stepm=1 month, we can keep estepm to 24 months
      * to compare the new estimate of Life expectancy with the same linear 
       eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);     * hypothesis. A more precise result, taking into account a more precise
       oldm=oldms;savm=savms;     * curvature will be obtained if estepm is as small as stepm. */
       evsij(fileres, eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k);    
       vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);    /* For example we decided to compute the life expectancy with the smallest unit */
       oldm=oldms;savm=savms;    /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm. 
       varevsij(fileres, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k);       nhstepm is the number of hstepm from age to agelim 
             nstepm is the number of stepm from age to agelin. 
       fprintf(ficrest,"#Total LEs with variances: e.. (std) ");       Look at hpijx to understand the reason of that which relies in memory size
       for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);       and note for a fixed period like estepm months */
       fprintf(ficrest,"\n");    /* We decided (b) to get a life expectancy respecting the most precise curvature of the
               survival function given by stepm (the optimization length). Unfortunately it
       hf=1;       means that if the survival funtion is printed only each two years of age and if
       if (stepm >= YEARM) hf=stepm/YEARM;       you sum them up and add 1 year (area under the trapezoids) you won't get the same 
       epj=vector(1,nlstate+1);       results. So we changed our mind and took the option of the best precision.
       for(age=bage; age <=fage ;age++){    */
         prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);    hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */ 
         fprintf(ficrest," %.0f",age);  
         for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){    /* If stepm=6 months */
           for(i=1, epj[j]=0.;i <=nlstate;i++) {    /* nhstepm age range expressed in number of stepm */
             epj[j] += prlim[i][i]*hf*eij[i][j][(int)age];    agelim=AGESUP;
           }    nstepm=(int) rint((agelim-age)*YEARM/stepm); 
           epj[nlstate+1] +=epj[j];    /* Typically if 20 years nstepm = 20*12/6=40 stepm */ 
         }    /* if (stepm >= YEARM) hstepm=1;*/
         for(i=1, vepp=0.;i <=nlstate;i++)    nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
           for(j=1;j <=nlstate;j++)    
             vepp += vareij[i][j][(int)age];    p3matp=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
         fprintf(ficrest," %.2f (%.2f)", epj[nlstate+1],hf*sqrt(vepp));    p3matm=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
         for(j=1;j <=nlstate;j++){    gradg=ma3x(0,nhstepm,1,npar,1,nlstate*nlstate);
           fprintf(ficrest," %.2f (%.2f)", epj[j],hf*sqrt(vareij[j][j][(int)age]));    trgradg =ma3x(0,nhstepm,1,nlstate*nlstate,1,npar);
         }    gp=matrix(0,nhstepm,1,nlstate*nlstate);
         fprintf(ficrest,"\n");    gm=matrix(0,nhstepm,1,nlstate*nlstate);
       }  
     }    for (age=bage; age<=fage; age ++){ 
   }  
              /* Computed by stepm unit matrices, product of hstepm matrices, stored
  fclose(ficreseij);         in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */
  fclose(ficresvij);   
   fclose(ficrest);      hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
   fclose(ficpar);  
   free_vector(epj,1,nlstate+1);      /* Computing  Variances of health expectancies */
   /*  scanf("%d ",i); */      /* Gradient is computed with plus gp and minus gm. Code is duplicated in order to
          decrease memory allocation */
   /*------- Variance limit prevalence------*/        for(theta=1; theta <=npar; theta++){
         for(i=1; i<=npar; i++){ 
 strcpy(fileresvpl,"vpl");          xp[i] = x[i] + (i==theta ?delti[theta]:0);
   strcat(fileresvpl,fileres);          xm[i] = x[i] - (i==theta ?delti[theta]:0);
   if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {        }
     printf("Problem with variance prev lim resultfile: %s\n", fileresvpl);        hpxij(p3matp,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, cij);  
     exit(0);        hpxij(p3matm,nhstepm,age,hstepm,xm,nlstate,stepm,oldm,savm, cij);  
   }    
   printf("Computing Variance-covariance of Prevalence limit: file '%s' \n", fileresvpl);        for(j=1; j<= nlstate; j++){
           for(i=1; i<=nlstate; i++){
  k=0;            for(h=0; h<=nhstepm-1; h++){
  for(cptcov=1;cptcov<=i1;cptcov++){              gp[h][(j-1)*nlstate + i] = (p3matp[i][j][h]+p3matp[i][j][h+1])/2.;
    for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){              gm[h][(j-1)*nlstate + i] = (p3matm[i][j][h]+p3matm[i][j][h+1])/2.;
      k=k+1;            }
      fprintf(ficresvpl,"\n#****** ");          }
      for(j=1;j<=cptcoveff;j++)        }
        fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);       
      fprintf(ficresvpl,"******\n");        for(ij=1; ij<= nlstate*nlstate; ij++)
                for(h=0; h<=nhstepm-1; h++){
      varpl=matrix(1,nlstate,(int) bage, (int) fage);            gradg[h][theta][ij]= (gp[h][ij]-gm[h][ij])/2./delti[theta];
      oldm=oldms;savm=savms;          }
      varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k);      }/* End theta */
    }      
  }      
       for(h=0; h<=nhstepm-1; h++)
   fclose(ficresvpl);        for(j=1; j<=nlstate*nlstate;j++)
           for(theta=1; theta <=npar; theta++)
   /*---------- End : free ----------------*/            trgradg[h][j][theta]=gradg[h][theta][j];
   free_matrix(varpl,1,nlstate,(int) bage, (int)fage);      
    
   free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);       for(ij=1;ij<=nlstate*nlstate;ij++)
   free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);        for(ji=1;ji<=nlstate*nlstate;ji++)
            varhe[ij][ji][(int)age] =0.;
    
   free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);       printf("%d|",(int)age);fflush(stdout);
   free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);       fprintf(ficlog,"%d|",(int)age);fflush(ficlog);
   free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);       for(h=0;h<=nhstepm-1;h++){
   free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);        for(k=0;k<=nhstepm-1;k++){
            matprod2(dnewm,trgradg[h],1,nlstate*nlstate,1,npar,1,npar,matcov);
   free_matrix(matcov,1,npar,1,npar);          matprod2(doldm,dnewm,1,nlstate*nlstate,1,npar,1,nlstate*nlstate,gradg[k]);
   free_vector(delti,1,npar);          for(ij=1;ij<=nlstate*nlstate;ij++)
              for(ji=1;ji<=nlstate*nlstate;ji++)
   free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);              varhe[ij][ji][(int)age] += doldm[ij][ji]*hf*hf;
         }
   printf("End of Imach\n");      }
   /*  gettimeofday(&end_time, (struct timezone*)0);*/  /* after time */      /* Computing expectancies */
        hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij);  
   /* printf("Total time was %d Sec. %d uSec.\n", end_time.tv_sec -start_time.tv_sec, end_time.tv_usec -start_time.tv_usec);*/      for(i=1; i<=nlstate;i++)
   /*printf("Total time was %d uSec.\n", total_usecs);*/        for(j=1; j<=nlstate;j++)
   /*------ End -----------*/          for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){
             eij[i][j][(int)age] += (p3matm[i][j][h]+p3matm[i][j][h+1])/2.0*hf;
  end:            
 #ifdef windows            /* if((int)age==70)printf("i=%2d,j=%2d,h=%2d,age=%3d,%9.4f,%9.4f,%9.4f\n",i,j,h,(int)age,p3mat[i][j][h],hf,eij[i][j][(int)age]);*/
  chdir(pathcd);  
 #endif          }
  /*system("wgnuplot graph.plt");*/  
  system("../gp37mgw/wgnuplot graph.plt");      fprintf(ficresstdeij,"%3.0f",age );
       for(i=1; i<=nlstate;i++){
 #ifdef windows        eip=0.;
   while (z[0] != 'q') {        vip=0.;
     chdir(pathcd);        for(j=1; j<=nlstate;j++){
     printf("\nType e to edit output files, c to start again, and q for exiting: ");          eip += eij[i][j][(int)age];
     scanf("%s",z);          for(k=1; k<=nlstate;k++) /* Sum on j and k of cov(eij,eik) */
     if (z[0] == 'c') system("./imach");            vip += varhe[(j-1)*nlstate+i][(k-1)*nlstate+i][(int)age];
     else if (z[0] == 'e') {          fprintf(ficresstdeij," %9.4f (%.4f)", eij[i][j][(int)age], sqrt(varhe[(j-1)*nlstate+i][(j-1)*nlstate+i][(int)age]) );
       chdir(path);        }
       system(optionfilehtm);        fprintf(ficresstdeij," %9.4f (%.4f)", eip, sqrt(vip));
     }      }
     else if (z[0] == 'q') exit(0);      fprintf(ficresstdeij,"\n");
   }  
 #endif      fprintf(ficrescveij,"%3.0f",age );
 }      for(i=1; i<=nlstate;i++)
         for(j=1; j<=nlstate;j++){
           cptj= (j-1)*nlstate+i;
           for(i2=1; i2<=nlstate;i2++)
             for(j2=1; j2<=nlstate;j2++){
               cptj2= (j2-1)*nlstate+i2;
               if(cptj2 <= cptj)
                 fprintf(ficrescveij," %.4f", varhe[cptj][cptj2][(int)age]);
             }
         }
       fprintf(ficrescveij,"\n");
      
     }
     free_matrix(gm,0,nhstepm,1,nlstate*nlstate);
     free_matrix(gp,0,nhstepm,1,nlstate*nlstate);
     free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate*nlstate);
     free_ma3x(trgradg,0,nhstepm,1,nlstate*nlstate,1,npar);
     free_ma3x(p3matm,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
     free_ma3x(p3matp,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
     printf("\n");
     fprintf(ficlog,"\n");
   
     free_vector(xm,1,npar);
     free_vector(xp,1,npar);
     free_matrix(dnewm,1,nlstate*nlstate,1,npar);
     free_matrix(doldm,1,nlstate*nlstate,1,nlstate*nlstate);
     free_ma3x(varhe,1,nlstate*nlstate,1,nlstate*nlstate,(int) bage, (int)fage);
   }
   
   /************ Variance ******************/
   void varevsij(char optionfilefiname[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[])
   {
     /* Variance of health expectancies */
     /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/
     /* double **newm;*/
     double **dnewm,**doldm;
     double **dnewmp,**doldmp;
     int i, j, nhstepm, hstepm, h, nstepm ;
     int k, cptcode;
     double *xp;
     double **gp, **gm;  /* for var eij */
     double ***gradg, ***trgradg; /*for var eij */
     double **gradgp, **trgradgp; /* for var p point j */
     double *gpp, *gmp; /* for var p point j */
     double **varppt; /* for var p point j nlstate to nlstate+ndeath */
     double ***p3mat;
     double age,agelim, hf;
     double ***mobaverage;
     int theta;
     char digit[4];
     char digitp[25];
   
     char fileresprobmorprev[FILENAMELENGTH];
   
     if(popbased==1){
       if(mobilav!=0)
         strcpy(digitp,"-populbased-mobilav-");
       else strcpy(digitp,"-populbased-nomobil-");
     }
     else 
       strcpy(digitp,"-stablbased-");
   
     if (mobilav!=0) {
       mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
       if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){
         fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
         printf(" Error in movingaverage mobilav=%d\n",mobilav);
       }
     }
   
     strcpy(fileresprobmorprev,"prmorprev"); 
     sprintf(digit,"%-d",ij);
     /*printf("DIGIT=%s, ij=%d ijr=%-d|\n",digit, ij,ij);*/
     strcat(fileresprobmorprev,digit); /* Tvar to be done */
     strcat(fileresprobmorprev,digitp); /* Popbased or not, mobilav or not */
     strcat(fileresprobmorprev,fileres);
     if((ficresprobmorprev=fopen(fileresprobmorprev,"w"))==NULL) {
       printf("Problem with resultfile: %s\n", fileresprobmorprev);
       fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobmorprev);
     }
     printf("Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);
    
     fprintf(ficlog,"Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);
     pstamp(ficresprobmorprev);
     fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()\n",estepm);
     fprintf(ficresprobmorprev,"# Age cov=%-d",ij);
     for(j=nlstate+1; j<=(nlstate+ndeath);j++){
       fprintf(ficresprobmorprev," p.%-d SE",j);
       for(i=1; i<=nlstate;i++)
         fprintf(ficresprobmorprev," w%1d p%-d%-d",i,i,j);
     }  
     fprintf(ficresprobmorprev,"\n");
     fprintf(ficgp,"\n# Routine varevsij");
     /* fprintf(fichtm, "#Local time at start: %s", strstart);*/
     fprintf(fichtm,"\n<li><h4> Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)</h4></li>\n");
     fprintf(fichtm,"\n<br>%s  <br>\n",digitp);
   /*   } */
     varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
     pstamp(ficresvij);
     fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n#  (weighted average of eij where weights are ");
     if(popbased==1)
       fprintf(ficresvij,"the age specific prevalence observed in the population i.e cross-sectionally\n in each health state (popbased=1)");
     else
       fprintf(ficresvij,"the age specific period (stable) prevalences in each health state \n");
     fprintf(ficresvij,"# Age");
     for(i=1; i<=nlstate;i++)
       for(j=1; j<=nlstate;j++)
         fprintf(ficresvij," Cov(e.%1d, e.%1d)",i,j);
     fprintf(ficresvij,"\n");
   
     xp=vector(1,npar);
     dnewm=matrix(1,nlstate,1,npar);
     doldm=matrix(1,nlstate,1,nlstate);
     dnewmp= matrix(nlstate+1,nlstate+ndeath,1,npar);
     doldmp= matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
   
     gradgp=matrix(1,npar,nlstate+1,nlstate+ndeath);
     gpp=vector(nlstate+1,nlstate+ndeath);
     gmp=vector(nlstate+1,nlstate+ndeath);
     trgradgp =matrix(nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/
     
     if(estepm < stepm){
       printf ("Problem %d lower than %d\n",estepm, stepm);
     }
     else  hstepm=estepm;   
     /* For example we decided to compute the life expectancy with the smallest unit */
     /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm. 
        nhstepm is the number of hstepm from age to agelim 
        nstepm is the number of stepm from age to agelin. 
        Look at hpijx to understand the reason of that which relies in memory size
        and note for a fixed period like k years */
     /* We decided (b) to get a life expectancy respecting the most precise curvature of the
        survival function given by stepm (the optimization length). Unfortunately it
        means that if the survival funtion is printed every two years of age and if
        you sum them up and add 1 year (area under the trapezoids) you won't get the same 
        results. So we changed our mind and took the option of the best precision.
     */
     hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */ 
     agelim = AGESUP;
     for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
       nstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ 
       nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
       p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
       gradg=ma3x(0,nhstepm,1,npar,1,nlstate);
       gp=matrix(0,nhstepm,1,nlstate);
       gm=matrix(0,nhstepm,1,nlstate);
   
   
       for(theta=1; theta <=npar; theta++){
         for(i=1; i<=npar; i++){ /* Computes gradient x + delta*/
           xp[i] = x[i] + (i==theta ?delti[theta]:0);
         }
         hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);  
         prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
   
         if (popbased==1) {
           if(mobilav ==0){
             for(i=1; i<=nlstate;i++)
               prlim[i][i]=probs[(int)age][i][ij];
           }else{ /* mobilav */ 
             for(i=1; i<=nlstate;i++)
               prlim[i][i]=mobaverage[(int)age][i][ij];
           }
         }
     
         for(j=1; j<= nlstate; j++){
           for(h=0; h<=nhstepm; h++){
             for(i=1, gp[h][j]=0.;i<=nlstate;i++)
               gp[h][j] += prlim[i][i]*p3mat[i][j][h];
           }
         }
         /* This for computing probability of death (h=1 means
            computed over hstepm matrices product = hstepm*stepm months) 
            as a weighted average of prlim.
         */
         for(j=nlstate+1;j<=nlstate+ndeath;j++){
           for(i=1,gpp[j]=0.; i<= nlstate; i++)
             gpp[j] += prlim[i][i]*p3mat[i][j][1];
         }    
         /* end probability of death */
   
         for(i=1; i<=npar; i++) /* Computes gradient x - delta */
           xp[i] = x[i] - (i==theta ?delti[theta]:0);
         hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);  
         prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
    
         if (popbased==1) {
           if(mobilav ==0){
             for(i=1; i<=nlstate;i++)
               prlim[i][i]=probs[(int)age][i][ij];
           }else{ /* mobilav */ 
             for(i=1; i<=nlstate;i++)
               prlim[i][i]=mobaverage[(int)age][i][ij];
           }
         }
   
         for(j=1; j<= nlstate; j++){
           for(h=0; h<=nhstepm; h++){
             for(i=1, gm[h][j]=0.;i<=nlstate;i++)
               gm[h][j] += prlim[i][i]*p3mat[i][j][h];
           }
         }
         /* This for computing probability of death (h=1 means
            computed over hstepm matrices product = hstepm*stepm months) 
            as a weighted average of prlim.
         */
         for(j=nlstate+1;j<=nlstate+ndeath;j++){
           for(i=1,gmp[j]=0.; i<= nlstate; i++)
            gmp[j] += prlim[i][i]*p3mat[i][j][1];
         }    
         /* end probability of death */
   
         for(j=1; j<= nlstate; j++) /* vareij */
           for(h=0; h<=nhstepm; h++){
             gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
           }
   
         for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu */
           gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta];
         }
   
       } /* End theta */
   
       trgradg =ma3x(0,nhstepm,1,nlstate,1,npar); /* veij */
   
       for(h=0; h<=nhstepm; h++) /* veij */
         for(j=1; j<=nlstate;j++)
           for(theta=1; theta <=npar; theta++)
             trgradg[h][j][theta]=gradg[h][theta][j];
   
       for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */
         for(theta=1; theta <=npar; theta++)
           trgradgp[j][theta]=gradgp[theta][j];
     
   
       hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
       for(i=1;i<=nlstate;i++)
         for(j=1;j<=nlstate;j++)
           vareij[i][j][(int)age] =0.;
   
       for(h=0;h<=nhstepm;h++){
         for(k=0;k<=nhstepm;k++){
           matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov);
           matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg[k]);
           for(i=1;i<=nlstate;i++)
             for(j=1;j<=nlstate;j++)
               vareij[i][j][(int)age] += doldm[i][j]*hf*hf;
         }
       }
     
       /* pptj */
       matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov);
       matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp);
       for(j=nlstate+1;j<=nlstate+ndeath;j++)
         for(i=nlstate+1;i<=nlstate+ndeath;i++)
           varppt[j][i]=doldmp[j][i];
       /* end ppptj */
       /*  x centered again */
       hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);  
       prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ij);
    
       if (popbased==1) {
         if(mobilav ==0){
           for(i=1; i<=nlstate;i++)
             prlim[i][i]=probs[(int)age][i][ij];
         }else{ /* mobilav */ 
           for(i=1; i<=nlstate;i++)
             prlim[i][i]=mobaverage[(int)age][i][ij];
         }
       }
                
       /* This for computing probability of death (h=1 means
          computed over hstepm (estepm) matrices product = hstepm*stepm months) 
          as a weighted average of prlim.
       */
       for(j=nlstate+1;j<=nlstate+ndeath;j++){
         for(i=1,gmp[j]=0.;i<= nlstate; i++) 
           gmp[j] += prlim[i][i]*p3mat[i][j][1]; 
       }    
       /* end probability of death */
   
       fprintf(ficresprobmorprev,"%3d %d ",(int) age, ij);
       for(j=nlstate+1; j<=(nlstate+ndeath);j++){
         fprintf(ficresprobmorprev," %11.3e %11.3e",gmp[j], sqrt(varppt[j][j]));
         for(i=1; i<=nlstate;i++){
           fprintf(ficresprobmorprev," %11.3e %11.3e ",prlim[i][i],p3mat[i][j][1]);
         }
       } 
       fprintf(ficresprobmorprev,"\n");
   
       fprintf(ficresvij,"%.0f ",age );
       for(i=1; i<=nlstate;i++)
         for(j=1; j<=nlstate;j++){
           fprintf(ficresvij," %.4f", vareij[i][j][(int)age]);
         }
       fprintf(ficresvij,"\n");
       free_matrix(gp,0,nhstepm,1,nlstate);
       free_matrix(gm,0,nhstepm,1,nlstate);
       free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate);
       free_ma3x(trgradg,0,nhstepm,1,nlstate,1,npar);
       free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
     } /* End age */
     free_vector(gpp,nlstate+1,nlstate+ndeath);
     free_vector(gmp,nlstate+1,nlstate+ndeath);
     free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath);
     free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/
     fprintf(ficgp,"\nset noparametric;set nolabel; set ter png small;set size 0.65, 0.65");
     /* for(j=nlstate+1; j<= nlstate+ndeath; j++){ *//* Only the first actually */
     fprintf(ficgp,"\n set log y; set nolog x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");
   /*   fprintf(ficgp,"\n plot \"%s\"  u 1:($3*%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); */
   /*   fprintf(ficgp,"\n replot \"%s\"  u 1:(($3+1.96*$4)*%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */
   /*   fprintf(ficgp,"\n replot \"%s\"  u 1:(($3-1.96*$4)*%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */
     fprintf(ficgp,"\n plot \"%s\"  u 1:($3) not w l 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)) not w l 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> 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(ficgp,"\nset out \"varmuptjgr%s%s%s.png\";replot;",digitp,optionfilefiname,digit); */
     fprintf(ficgp,"\nset out \"%s%s.png\";replot;\n",subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);
   
     free_vector(xp,1,npar);
     free_matrix(doldm,1,nlstate,1,nlstate);
     free_matrix(dnewm,1,nlstate,1,npar);
     free_matrix(doldmp,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
     free_matrix(dnewmp,nlstate+1,nlstate+ndeath,1,npar);
     free_matrix(varppt,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
     if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
     fclose(ficresprobmorprev);
     fflush(ficgp);
     fflush(fichtm); 
   }  /* end varevsij */
   
   /************ Variance of prevlim ******************/
   void varprevlim(char fileres[], double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij, char strstart[])
   {
     /* Variance of prevalence limit */
     /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/
     double **newm;
     double **dnewm,**doldm;
     int i, j, nhstepm, hstepm;
     int k, cptcode;
     double *xp;
     double *gp, *gm;
     double **gradg, **trgradg;
     double age,agelim;
     int theta;
     
     pstamp(ficresvpl);
     fprintf(ficresvpl,"# Standard deviation of period (stable) prevalences \n");
     fprintf(ficresvpl,"# Age");
     for(i=1; i<=nlstate;i++)
         fprintf(ficresvpl," %1d-%1d",i,i);
     fprintf(ficresvpl,"\n");
   
     xp=vector(1,npar);
     dnewm=matrix(1,nlstate,1,npar);
     doldm=matrix(1,nlstate,1,nlstate);
     
     hstepm=1*YEARM; /* Every year of age */
     hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */ 
     agelim = AGESUP;
     for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
       nhstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ 
       if (stepm >= YEARM) hstepm=1;
       nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
       gradg=matrix(1,npar,1,nlstate);
       gp=vector(1,nlstate);
       gm=vector(1,nlstate);
   
       for(theta=1; theta <=npar; theta++){
         for(i=1; i<=npar; i++){ /* Computes gradient */
           xp[i] = x[i] + (i==theta ?delti[theta]:0);
         }
         prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
         for(i=1;i<=nlstate;i++)
           gp[i] = prlim[i][i];
       
         for(i=1; i<=npar; i++) /* Computes gradient */
           xp[i] = x[i] - (i==theta ?delti[theta]:0);
         prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
         for(i=1;i<=nlstate;i++)
           gm[i] = prlim[i][i];
   
         for(i=1;i<=nlstate;i++)
           gradg[theta][i]= (gp[i]-gm[i])/2./delti[theta];
       } /* End theta */
   
       trgradg =matrix(1,nlstate,1,npar);
   
       for(j=1; j<=nlstate;j++)
         for(theta=1; theta <=npar; theta++)
           trgradg[j][theta]=gradg[theta][j];
   
       for(i=1;i<=nlstate;i++)
         varpl[i][(int)age] =0.;
       matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov);
       matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg);
       for(i=1;i<=nlstate;i++)
         varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */
   
       fprintf(ficresvpl,"%.0f ",age );
       for(i=1; i<=nlstate;i++)
         fprintf(ficresvpl," %.5f (%.5f)",prlim[i][i],sqrt(varpl[i][(int)age]));
       fprintf(ficresvpl,"\n");
       free_vector(gp,1,nlstate);
       free_vector(gm,1,nlstate);
       free_matrix(gradg,1,npar,1,nlstate);
       free_matrix(trgradg,1,nlstate,1,npar);
     } /* End age */
   
     free_vector(xp,1,npar);
     free_matrix(doldm,1,nlstate,1,npar);
     free_matrix(dnewm,1,nlstate,1,nlstate);
   
   }
   
   /************ Variance of one-step probabilities  ******************/
   void varprob(char optionfilefiname[], double **matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij, int *Tvar, int **nbcode, int *ncodemax, char strstart[])
   {
     int i, j=0,  i1, k1, l1, t, tj;
     int k2, l2, j1,  z1;
     int k=0,l, cptcode;
     int first=1, first1;
     double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;
     double **dnewm,**doldm;
     double *xp;
     double *gp, *gm;
     double **gradg, **trgradg;
     double **mu;
     double age,agelim, cov[NCOVMAX];
     double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */
     int theta;
     char fileresprob[FILENAMELENGTH];
     char fileresprobcov[FILENAMELENGTH];
     char fileresprobcor[FILENAMELENGTH];
   
     double ***varpij;
   
     strcpy(fileresprob,"prob"); 
     strcat(fileresprob,fileres);
     if((ficresprob=fopen(fileresprob,"w"))==NULL) {
       printf("Problem with resultfile: %s\n", fileresprob);
       fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob);
     }
     strcpy(fileresprobcov,"probcov"); 
     strcat(fileresprobcov,fileres);
     if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) {
       printf("Problem with resultfile: %s\n", fileresprobcov);
       fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov);
     }
     strcpy(fileresprobcor,"probcor"); 
     strcat(fileresprobcor,fileres);
     if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) {
       printf("Problem with resultfile: %s\n", fileresprobcor);
       fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor);
     }
     printf("Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob);
     fprintf(ficlog,"Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob);
     printf("Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov);
     fprintf(ficlog,"Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov);
     printf("and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
     fprintf(ficlog,"and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
     pstamp(ficresprob);
     fprintf(ficresprob,"#One-step probabilities and stand. devi in ()\n");
     fprintf(ficresprob,"# Age");
     pstamp(ficresprobcov);
     fprintf(ficresprobcov,"#One-step probabilities and covariance matrix\n");
     fprintf(ficresprobcov,"# Age");
     pstamp(ficresprobcor);
     fprintf(ficresprobcor,"#One-step probabilities and correlation matrix\n");
     fprintf(ficresprobcor,"# Age");
   
   
     for(i=1; i<=nlstate;i++)
       for(j=1; j<=(nlstate+ndeath);j++){
         fprintf(ficresprob," p%1d-%1d (SE)",i,j);
         fprintf(ficresprobcov," p%1d-%1d ",i,j);
         fprintf(ficresprobcor," p%1d-%1d ",i,j);
       }  
    /* fprintf(ficresprob,"\n");
     fprintf(ficresprobcov,"\n");
     fprintf(ficresprobcor,"\n");
    */
    xp=vector(1,npar);
     dnewm=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
     doldm=matrix(1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath));
     mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage);
     varpij=ma3x(1,nlstate*(nlstate+ndeath),1,nlstate*(nlstate+ndeath),(int) bage, (int) fage);
     first=1;
     fprintf(ficgp,"\n# Routine varprob");
     fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");
     fprintf(fichtm,"\n");
   
     fprintf(fichtm,"\n<li><h4> <a href=\"%s\">Matrix of variance-covariance of pairs of step probabilities (drawings)</a></h4></li>\n",optionfilehtmcov);
     fprintf(fichtmcov,"\n<h4>Matrix of variance-covariance of pairs of step probabilities</h4>\n\
     file %s<br>\n",optionfilehtmcov);
     fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimated\
   and drawn. It helps understanding how is the covariance between two incidences.\
    They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>\n");
     fprintf(fichtmcov,"\n<br> Contour plot corresponding to x'cov<sup>-1</sup>x = 4 (where x is the column vector (pij,pkl)) are drawn. \
   It can be understood this way: if pij and pkl where uncorrelated the (2x2) matrix of covariance \
   would have been (1/(var pij), 0 , 0, 1/(var pkl)), and the confidence interval would be 2 \
   standard deviations wide on each axis. <br>\
    Now, if both incidences are correlated (usual case) we diagonalised the inverse of the covariance matrix\
    and made the appropriate rotation to look at the uncorrelated principal directions.<br>\
   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;
     tj=cptcoveff;
     if (cptcovn<1) {tj=1;ncodemax[1]=1;}
     j1=0;
     for(t=1; t<=tj;t++){
       for(i1=1; i1<=ncodemax[t];i1++){ 
         j1++;
         if  (cptcovn>0) {
           fprintf(ficresprob, "\n#********** Variable "); 
           for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
           fprintf(ficresprob, "**********\n#\n");
           fprintf(ficresprobcov, "\n#********** Variable "); 
           for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
           fprintf(ficresprobcov, "**********\n#\n");
           
           fprintf(ficgp, "\n#********** Variable "); 
           for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
           fprintf(ficgp, "**********\n#\n");
           
           
           fprintf(fichtmcov, "\n<hr  size=\"2\" color=\"#EC5E5E\">********** Variable "); 
           for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
           fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">");
           
           fprintf(ficresprobcor, "\n#********** Variable ");    
           for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
           fprintf(ficresprobcor, "**********\n#");    
         }
         
         for (age=bage; age<=fage; age ++){ 
           cov[2]=age;
           for (k=1; k<=cptcovn;k++) {
             cov[2+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]];
           }
           for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
           for (k=1; k<=cptcovprod;k++)
             cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];
           
           gradg=matrix(1,npar,1,(nlstate)*(nlstate+ndeath));
           trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
           gp=vector(1,(nlstate)*(nlstate+ndeath));
           gm=vector(1,(nlstate)*(nlstate+ndeath));
       
           for(theta=1; theta <=npar; theta++){
             for(i=1; i<=npar; i++)
               xp[i] = x[i] + (i==theta ?delti[theta]:(double)0);
             
             pmij(pmmij,cov,ncovmodel,xp,nlstate);
             
             k=0;
             for(i=1; i<= (nlstate); i++){
               for(j=1; j<=(nlstate+ndeath);j++){
                 k=k+1;
                 gp[k]=pmmij[i][j];
               }
             }
             
             for(i=1; i<=npar; i++)
               xp[i] = x[i] - (i==theta ?delti[theta]:(double)0);
       
             pmij(pmmij,cov,ncovmodel,xp,nlstate);
             k=0;
             for(i=1; i<=(nlstate); i++){
               for(j=1; j<=(nlstate+ndeath);j++){
                 k=k+1;
                 gm[k]=pmmij[i][j];
               }
             }
        
             for(i=1; i<= (nlstate)*(nlstate+ndeath); i++) 
               gradg[theta][i]=(gp[i]-gm[i])/(double)2./delti[theta];  
           }
   
           for(j=1; j<=(nlstate)*(nlstate+ndeath);j++)
             for(theta=1; theta <=npar; theta++)
               trgradg[j][theta]=gradg[theta][j];
           
           matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov); 
           matprod2(doldm,dnewm,1,(nlstate)*(nlstate+ndeath),1,npar,1,(nlstate)*(nlstate+ndeath),gradg);
           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);
           
           k=0;
           for(i=1; i<=(nlstate); i++){
             for(j=1; j<=(nlstate+ndeath);j++){
               k=k+1;
               mu[k][(int) age]=pmmij[i][j];
             }
           }
           for(i=1;i<=(nlstate)*(nlstate+ndeath);i++)
             for(j=1;j<=(nlstate)*(nlstate+ndeath);j++)
               varpij[i][j][(int)age] = doldm[i][j];
   
           /*printf("\n%d ",(int)age);
             for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){
             printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i]));
             fprintf(ficlog,"%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i]));
             }*/
   
           fprintf(ficresprob,"\n%d ",(int)age);
           fprintf(ficresprobcov,"\n%d ",(int)age);
           fprintf(ficresprobcor,"\n%d ",(int)age);
   
           for (i=1; i<=(nlstate)*(nlstate+ndeath);i++)
             fprintf(ficresprob,"%11.3e (%11.3e) ",mu[i][(int) age],sqrt(varpij[i][i][(int)age]));
           for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){
             fprintf(ficresprobcov,"%11.3e ",mu[i][(int) age]);
             fprintf(ficresprobcor,"%11.3e ",mu[i][(int) age]);
           }
           i=0;
           for (k=1; k<=(nlstate);k++){
             for (l=1; l<=(nlstate+ndeath);l++){ 
               i=i++;
               fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l);
               fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l);
               for (j=1; j<=i;j++){
                 fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]);
                 fprintf(ficresprobcor," %11.3e",varpij[i][j][(int) age]/sqrt(varpij[i][i][(int) age])/sqrt(varpij[j][j][(int)age]));
               }
             }
           }/* end of loop for state */
         } /* end of loop for age */
   
         /* Confidence intervalle of pij  */
         /*
           fprintf(ficgp,"\nset noparametric;unset label");
           fprintf(ficgp,"\nset log y;unset log x; set xlabel \"Age\";set ylabel \"probability (year-1)\"");
           fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65");
           fprintf(fichtm,"\n<br>Probability with  confidence intervals expressed in year<sup>-1</sup> :<a href=\"pijgr%s.png\">pijgr%s.png</A>, ",optionfilefiname,optionfilefiname);
           fprintf(fichtm,"\n<br><img src=\"pijgr%s.png\"> ",optionfilefiname);
           fprintf(ficgp,"\nset out \"pijgr%s.png\"",optionfilefiname);
           fprintf(ficgp,"\nplot \"%s\" every :::%d::%d u 1:2 \"\%%lf",k1,k2,xfilevarprob);
         */
   
         /* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/
         first1=1;
         for (k2=1; k2<=(nlstate);k2++){
           for (l2=1; l2<=(nlstate+ndeath);l2++){ 
             if(l2==k2) continue;
             j=(k2-1)*(nlstate+ndeath)+l2;
             for (k1=1; k1<=(nlstate);k1++){
               for (l1=1; l1<=(nlstate+ndeath);l1++){ 
                 if(l1==k1) continue;
                 i=(k1-1)*(nlstate+ndeath)+l1;
                 if(i<=j) continue;
                 for (age=bage; age<=fage; age ++){ 
                   if ((int)age %5==0){
                     v1=varpij[i][i][(int)age]/stepm*YEARM/stepm*YEARM;
                     v2=varpij[j][j][(int)age]/stepm*YEARM/stepm*YEARM;
                     cv12=varpij[i][j][(int)age]/stepm*YEARM/stepm*YEARM;
                     mu1=mu[i][(int) age]/stepm*YEARM ;
                     mu2=mu[j][(int) age]/stepm*YEARM;
                     c12=cv12/sqrt(v1*v2);
                     /* Computing eigen value of matrix of covariance */
                     lc1=((v1+v2)+sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.;
                     lc2=((v1+v2)-sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.;
                     /* Eigen vectors */
                     v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12));
                     /*v21=sqrt(1.-v11*v11); *//* error */
                     v21=(lc1-v1)/cv12*v11;
                     v12=-v21;
                     v22=v11;
                     tnalp=v21/v11;
                     if(first1==1){
                       first1=0;
                       printf("%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tang %.3f\nOthers in log...\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp);
                     }
                     fprintf(ficlog,"%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp);
                     /*printf(fignu*/
                     /* mu1+ v11*lc1*cost + v12*lc2*sin(t) */
                     /* mu2+ v21*lc1*cost + v22*lc2*sin(t) */
                     if(first==1){
                       first=0;
                       fprintf(ficgp,"\nset parametric;unset label");
                       fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2);
                       fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65");
                       fprintf(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\">\
   %s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,\
                               subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2,\
                               subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);
                       fprintf(fichtmcov,"\n<br><img src=\"%s%d%1d%1d-%1d%1d.png\"> ",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);
                       fprintf(fichtmcov,"\n<br> Correlation at age %d (%.3f),",(int) age, c12);
                       fprintf(ficgp,"\nset out \"%s%d%1d%1d-%1d%1d.png\"",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);
                       fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);
                       fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);
                       fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not",\
                               mu1,std,v11,sqrt(lc1),v12,sqrt(lc2),\
                               mu2,std,v21,sqrt(lc1),v22,sqrt(lc2));
                     }else{
                       first=0;
                       fprintf(fichtmcov," %d (%.3f),",(int) age, c12);
                       fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);
                       fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);
                       fprintf(ficgp,"\nreplot %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not",\
                               mu1,std,v11,sqrt(lc1),v12,sqrt(lc2),\
                               mu2,std,v21,sqrt(lc1),v22,sqrt(lc2));
                     }/* if first */
                   } /* age mod 5 */
                 } /* end loop age */
                 fprintf(ficgp,"\nset out \"%s%d%1d%1d-%1d%1d.png\";replot;",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);
                 first=1;
               } /*l12 */
             } /* k12 */
           } /*l1 */
         }/* k1 */
       } /* loop covariates */
     }
     free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);
     free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);
     free_matrix(doldm,1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath));
     free_matrix(dnewm,1,(nlstate)*(nlstate+ndeath),1,npar);
     free_vector(xp,1,npar);
     fclose(ficresprob);
     fclose(ficresprobcov);
     fclose(ficresprobcor);
     fflush(ficgp);
     fflush(fichtmcov);
   }
   
   
   /******************* Printing html file ***********/
   void printinghtml(char fileres[], char title[], char datafile[], int firstpass, \
                     int lastpass, int stepm, int weightopt, char model[],\
                     int imx,int jmin, int jmax, double jmeanint,char rfileres[],\
                     int popforecast, int estepm ,\
                     double jprev1, double mprev1,double anprev1, \
                     double jprev2, double mprev2,double anprev2){
     int jj1, k1, i1, cpt;
   
      fprintf(fichtm,"<ul><li><a href='#firstorder'>Result files (first order: no variance)</a>\n \
      <li><a href='#secondorder'>Result files (second order (variance)</a>\n \
   </ul>");
      fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n \
    - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> <br>\n ",
              jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileres,"p"),subdirf2(fileres,"p"));
      fprintf(fichtm,"\
    - Estimated transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ",
              stepm,subdirf2(fileres,"pij"),subdirf2(fileres,"pij"));
      fprintf(fichtm,"\
    - Period (stable) prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",
              subdirf2(fileres,"pl"),subdirf2(fileres,"pl"));
      fprintf(fichtm,"\
    - (a) Life expectancies by health status at initial age, (b) health expectancies by health status at initial age:  ei., eij (estepm=%2d months): \
      <a href=\"%s\">%s</a> <br>\n</li>",
              estepm,subdirf2(fileres,"e"),subdirf2(fileres,"e"));
   
   
   fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");
   
    m=cptcoveff;
    if (cptcovn < 1) {m=1;ncodemax[1]=1;}
   
    jj1=0;
    for(k1=1; k1<=m;k1++){
      for(i1=1; i1<=ncodemax[k1];i1++){
        jj1++;
        if (cptcovn > 0) {
          fprintf(fichtm,"<hr  size=\"2\" color=\"#EC5E5E\">************ Results for covariates");
          for (cpt=1; cpt<=cptcoveff;cpt++) 
            fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[jj1][cpt]]);
          fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
        }
        /* Pij */
        fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s%d1.png\">%s%d1.png</a><br> \
   <img src=\"%s%d1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);     
        /* Quasi-incidences */
        fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\
    before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: <a href=\"%s%d2.png\">%s%d2.png</a><br> \
   <img src=\"%s%d2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1); 
          /* Period (stable) prevalence in each health state */
          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> \
   <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++) {
           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> \
   <img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);
        }
      } /* end i1 */
    }/* End k1 */
    fprintf(fichtm,"</ul>");
   
   
    fprintf(fichtm,"\
   \n<br><li><h4> <a name='secondorder'>Result files (second order: variances)</a></h4>\n\
    - Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br>\n", rfileres,rfileres);
   
    fprintf(fichtm," - Variance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
            subdirf2(fileres,"prob"),subdirf2(fileres,"prob"));
    fprintf(fichtm,"\
    - Variance-covariance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
            subdirf2(fileres,"probcov"),subdirf2(fileres,"probcov"));
   
    fprintf(fichtm,"\
    - Correlation matrix of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
            subdirf2(fileres,"probcor"),subdirf2(fileres,"probcor"));
    fprintf(fichtm,"\
    - Variances and covariances of health expectancies by age and <b>initial health status</b> (cov(e<sup>ij</sup>,e<sup>kl</sup>)(estepm=%2d months): \
      <a href=\"%s\">%s</a> <br>\n</li>",
              estepm,subdirf2(fileres,"cve"),subdirf2(fileres,"cve"));
    fprintf(fichtm,"\
    - (a) Health expectancies by health status at initial age (e<sup>ij</sup>) and standard errors (in parentheses) (b) life expectancies and standard errors (e<sup>i.</sup>=e<sup>i1</sup>+e<sup>i2</sup>+...)(estepm=%2d months): \
      <a href=\"%s\">%s</a> <br>\n</li>",
              estepm,subdirf2(fileres,"stde"),subdirf2(fileres,"stde"));
    fprintf(fichtm,"\
    - Variances and covariances of health expectancies by age. Status (i) based health expectancies (in state j), eij are weighted by the period prevalences in each state i (if popbased=1, an additional computation is done using the cross-sectional prevalences (i.e population based) (estepm=%d months): <a href=\"%s\">%s</a><br>\n",
            estepm, subdirf2(fileres,"v"),subdirf2(fileres,"v"));
    fprintf(fichtm,"\
    - Total life expectancy and total health expectancies to be spent in each health state e<sup>.j</sup> with their standard errors: <a href=\"%s\">%s</a> <br>\n",
            subdirf2(fileres,"t"),subdirf2(fileres,"t"));
    fprintf(fichtm,"\
    - Standard deviation of period (stable) prevalences: <a href=\"%s\">%s</a> <br>\n",\
            subdirf2(fileres,"vpl"),subdirf2(fileres,"vpl"));
   
   /*  if(popforecast==1) fprintf(fichtm,"\n */
   /*  - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n */
   /*  - Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n */
   /*      <br>",fileres,fileres,fileres,fileres); */
   /*  else  */
   /*    fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */
    fflush(fichtm);
    fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");
   
    m=cptcoveff;
    if (cptcovn < 1) {m=1;ncodemax[1]=1;}
   
    jj1=0;
    for(k1=1; k1<=m;k1++){
      for(i1=1; i1<=ncodemax[k1];i1++){
        jj1++;
        if (cptcovn > 0) {
          fprintf(fichtm,"<hr  size=\"2\" color=\"#EC5E5E\">************ Results for covariates");
          for (cpt=1; cpt<=cptcoveff;cpt++) 
            fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[jj1][cpt]]);
          fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
        }
        for(cpt=1; cpt<=nlstate;cpt++) {
          fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \
   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);  
        }
        fprintf(fichtm,"\n<br>- Total life expectancy by age and \
   health expectancies in states (1) and (2): %s%d.png<br>\
   <img src=\"%s%d.png\">",subdirf2(optionfilefiname,"e"),jj1,subdirf2(optionfilefiname,"e"),jj1);
      } /* end i1 */
    }/* End k1 */
    fprintf(fichtm,"</ul>");
    fflush(fichtm);
   }
   
   /******************* Gnuplot file **************/
   void printinggnuplot(char fileres[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){
   
     char dirfileres[132],optfileres[132];
     int m,cpt,k1,i,k,j,jk,k2,k3,ij,l;
     int ng;
   /*   if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */
   /*     printf("Problem with file %s",optionfilegnuplot); */
   /*     fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */
   /*   } */
   
     /*#ifdef windows */
     fprintf(ficgp,"cd \"%s\" \n",pathc);
       /*#endif */
     m=pow(2,cptcoveff);
   
     strcpy(dirfileres,optionfilefiname);
     strcpy(optfileres,"vpl");
    /* 1eme*/
     for (cpt=1; cpt<= nlstate ; cpt ++) {
      for (k1=1; k1<= m ; 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,"set xlabel \"Age\" \n\
   set ylabel \"Probability\" \n\
   set ter png small\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);
   
        for (i=1; i<= nlstate ; i ++) {
          if (i==cpt) 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);
        for (i=1; i<= nlstate ; i ++) {
          if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
          else fprintf(ficgp," \%%*lf (\%%*lf)");
        } 
        fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1); 
        for (i=1; i<= nlstate ; i ++) {
          if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
          else fprintf(ficgp," \%%*lf (\%%*lf)");
        }  
        fprintf(ficgp,"\" t\"\" w l 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1));
      }
     }
     /*2 eme*/
     
     for (k1=1; k1<= m ; 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);
       
       for (i=1; i<= nlstate+1 ; i ++) {
         k=2*i;
         fprintf(ficgp,"\"%s\" every :::%d::%d u 1:2 \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
         for (j=1; j<= nlstate+1 ; j ++) {
           if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
           else fprintf(ficgp," \%%*lf (\%%*lf)");
         }   
         if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,");
         else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1);
         fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2-$3*2) \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
         for (j=1; j<= nlstate+1 ; j ++) {
           if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
           else fprintf(ficgp," \%%*lf (\%%*lf)");
         }   
         fprintf(ficgp,"\" t\"\" w l 0,");
         fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
         for (j=1; j<= nlstate+1 ; j ++) {
           if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
           else fprintf(ficgp," \%%*lf (\%%*lf)");
         }   
         if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l 0");
         else fprintf(ficgp,"\" t\"\" w l 0,");
       }
     }
     
     /*3eme*/
     
     for (k1=1; k1<= m ; k1 ++) { 
       for (cpt=1; cpt<= nlstate ; cpt ++) {
         /*       k=2+nlstate*(2*cpt-2); */
         k=2+(nlstate+1)*(cpt-1);
         fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1);
         fprintf(ficgp,"set ter png small\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);
         /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
           for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
           fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
           fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d+2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
           for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
           fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
           
         */
         for (i=1; i< nlstate ; i ++) {
           fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+i,cpt,i+1);
           /*      fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2*i,cpt,i+1);*/
           
         } 
         fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+nlstate,cpt);
       }
     }
     
     /* CV preval stable (period) */
     for (k1=1; k1<= m ; k1 ++) { 
       for (cpt=1; cpt<=nlstate ; cpt ++) {
         k=3;
         fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"p"),cpt,k1);
         fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\
   set ter png small\nset size 0.65,0.65\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);
         
         for (i=1; i< nlstate ; i ++)
           fprintf(ficgp,"+$%d",k+i+1);
         fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);
         
         l=3+(nlstate+ndeath)*cpt;
         fprintf(ficgp,",\"%s\" u ($1==%d ? ($3):1/0):($%d/($%d",subdirf2(fileres,"pij"),k1,l+cpt+1,l+1);
         for (i=1; i< nlstate ; i ++) {
           l=3+(nlstate+ndeath)*cpt;
           fprintf(ficgp,"+$%d",l+i+1);
         }
         fprintf(ficgp,")) t\"prev(%d,%d)\" w l\n",cpt+1,cpt+1);   
       } 
     }  
     
     /* proba elementaires */
     for(i=1,jk=1; i <=nlstate; i++){
       for(k=1; k <=(nlstate+ndeath); k++){
         if (k != i) {
           for(j=1; j <=ncovmodel; j++){
             fprintf(ficgp,"p%d=%f ",jk,p[jk]);
             jk++; 
             fprintf(ficgp,"\n");
           }
         }
       }
      }
   
      for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/
        for(jk=1; jk <=m; jk++) {
          fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"pe"),jk,ng); 
          if (ng==2)
            fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");
          else
            fprintf(ficgp,"\nset title \"Probability\"\n");
          fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65\nset log y\nplot  [%.f:%.f] ",ageminpar,agemaxpar);
          i=1;
          for(k2=1; k2<=nlstate; k2++) {
            k3=i;
            for(k=1; k<=(nlstate+ndeath); k++) {
              if (k != k2){
                if(ng==2)
                  fprintf(ficgp," %f*exp(p%d+p%d*x",YEARM/stepm,i,i+1);
                else
                  fprintf(ficgp," exp(p%d+p%d*x",i,i+1);
                ij=1;
                for(j=3; j <=ncovmodel; j++) {
                  if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {
                    fprintf(ficgp,"+p%d*%d*x",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);
                    ij++;
                  }
                  else
                    fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
                }
                fprintf(ficgp,")/(1");
                
                for(k1=1; k1 <=nlstate; k1++){   
                  fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1);
                  ij=1;
                  for(j=3; j <=ncovmodel; j++){
                    if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {
                      fprintf(ficgp,"+p%d*%d*x",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);
                      ij++;
                    }
                    else
                      fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
                  }
                  fprintf(ficgp,")");
                }
                fprintf(ficgp,") t \"p%d%d\" ", k2,k);
                if ((k+k2)!= (nlstate*2+ndeath)) fprintf(ficgp,",");
                i=i+ncovmodel;
              }
            } /* end k */
          } /* end k2 */
        } /* end jk */
      } /* end ng */
      fflush(ficgp); 
   }  /* end gnuplot */
   
   
   /*************** Moving average **************/
   int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav){
   
     int i, cpt, cptcod;
     int modcovmax =1;
     int mobilavrange, mob;
     double age;
   
     modcovmax=2*cptcoveff;/* Max number of modalities. We suppose 
                              a covariate has 2 modalities */
     if (cptcovn<1) modcovmax=1; /* At least 1 pass */
   
     if(mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){
       if(mobilav==1) mobilavrange=5; /* default */
       else mobilavrange=mobilav;
       for (age=bage; age<=fage; age++)
         for (i=1; i<=nlstate;i++)
           for (cptcod=1;cptcod<=modcovmax;cptcod++)
             mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod];
       /* We keep the original values on the extreme ages bage, fage and for 
          fage+1 and bage-1 we use a 3 terms moving average; for fage+2 bage+2
          we use a 5 terms etc. until the borders are no more concerned. 
       */ 
       for (mob=3;mob <=mobilavrange;mob=mob+2){
         for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){
           for (i=1; i<=nlstate;i++){
             for (cptcod=1;cptcod<=modcovmax;cptcod++){
               mobaverage[(int)age][i][cptcod] =probs[(int)age][i][cptcod];
                 for (cpt=1;cpt<=(mob-1)/2;cpt++){
                   mobaverage[(int)age][i][cptcod] +=probs[(int)age-cpt][i][cptcod];
                   mobaverage[(int)age][i][cptcod] +=probs[(int)age+cpt][i][cptcod];
                 }
               mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/mob;
             }
           }
         }/* end age */
       }/* end mob */
     }else return -1;
     return 0;
   }/* End movingaverage */
   
   
   /************** Forecasting ******************/
   prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){
     /* proj1, year, month, day of starting projection 
        agemin, agemax range of age
        dateprev1 dateprev2 range of dates during which prevalence is computed
        anproj2 year of en of projection (same day and month as proj1).
     */
     int yearp, stepsize, hstepm, nhstepm, j, k, c, cptcod, i, h, i1;
     int *popage;
     double agec; /* generic age */
     double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;
     double *popeffectif,*popcount;
     double ***p3mat;
     double ***mobaverage;
     char fileresf[FILENAMELENGTH];
   
     agelim=AGESUP;
     prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
    
     strcpy(fileresf,"f"); 
     strcat(fileresf,fileres);
     if((ficresf=fopen(fileresf,"w"))==NULL) {
       printf("Problem with forecast resultfile: %s\n", fileresf);
       fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf);
     }
     printf("Computing forecasting: result on file '%s' \n", fileresf);
     fprintf(ficlog,"Computing forecasting: result on file '%s' \n", fileresf);
   
     if (cptcoveff==0) ncodemax[cptcoveff]=1;
   
     if (mobilav!=0) {
       mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
       if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){
         fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
         printf(" Error in movingaverage mobilav=%d\n",mobilav);
       }
     }
   
     stepsize=(int) (stepm+YEARM-1)/YEARM;
     if (stepm<=12) stepsize=1;
     if(estepm < stepm){
       printf ("Problem %d lower than %d\n",estepm, stepm);
     }
     else  hstepm=estepm;   
   
     hstepm=hstepm/stepm; 
     yp1=modf(dateintmean,&yp);/* extracts integral of datemean in yp  and
                                  fractional in yp1 */
     anprojmean=yp;
     yp2=modf((yp1*12),&yp);
     mprojmean=yp;
     yp1=modf((yp2*30.5),&yp);
     jprojmean=yp;
     if(jprojmean==0) jprojmean=1;
     if(mprojmean==0) jprojmean=1;
   
     i1=cptcoveff;
     if (cptcovn < 1){i1=1;}
     
     fprintf(ficresf,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); 
     
     fprintf(ficresf,"#****** Routine prevforecast **\n");
   
   /*            if (h==(int)(YEARM*yearp)){ */
     for(cptcov=1, k=0;cptcov<=i1;cptcov++){
       for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
         k=k+1;
         fprintf(ficresf,"\n#******");
         for(j=1;j<=cptcoveff;j++) {
           fprintf(ficresf," V%d=%d, hpijx=probability over h years, hp.jx is weighted by observed prev ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
         }
         fprintf(ficresf,"******\n");
         fprintf(ficresf,"# Covariate valuofcovar yearproj age");
         for(j=1; j<=nlstate+ndeath;j++){ 
           for(i=1; i<=nlstate;i++)              
             fprintf(ficresf," p%d%d",i,j);
           fprintf(ficresf," p.%d",j);
         }
         for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { 
           fprintf(ficresf,"\n");
           fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp);   
   
           for (agec=fage; agec>=(ageminpar-1); agec--){ 
             nhstepm=(int) rint((agelim-agec)*YEARM/stepm); 
             nhstepm = nhstepm/hstepm; 
             p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
             oldm=oldms;savm=savms;
             hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k);  
           
             for (h=0; h<=nhstepm; h++){
               if (h*hstepm/YEARM*stepm ==yearp) {
                 fprintf(ficresf,"\n");
                 for(j=1;j<=cptcoveff;j++) 
                   fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
                 fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm);
               } 
               for(j=1; j<=nlstate+ndeath;j++) {
                 ppij=0.;
                 for(i=1; i<=nlstate;i++) {
                   if (mobilav==1) 
                     ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][cptcod];
                   else {
                     ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][cptcod];
                   }
                   if (h*hstepm/YEARM*stepm== yearp) {
                     fprintf(ficresf," %.3f", p3mat[i][j][h]);
                   }
                 } /* end i */
                 if (h*hstepm/YEARM*stepm==yearp) {
                   fprintf(ficresf," %.3f", ppij);
                 }
               }/* end j */
             } /* end h */
             free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
           } /* end agec */
         } /* end yearp */
       } /* end cptcod */
     } /* end  cptcov */
          
     if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
   
     fclose(ficresf);
   }
   
   /************** Forecasting *****not tested NB*************/
   populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){
     
     int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;
     int *popage;
     double calagedatem, agelim, kk1, kk2;
     double *popeffectif,*popcount;
     double ***p3mat,***tabpop,***tabpopprev;
     double ***mobaverage;
     char filerespop[FILENAMELENGTH];
   
     tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
     tabpopprev= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
     agelim=AGESUP;
     calagedatem=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM;
     
     prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
     
     
     strcpy(filerespop,"pop"); 
     strcat(filerespop,fileres);
     if((ficrespop=fopen(filerespop,"w"))==NULL) {
       printf("Problem with forecast resultfile: %s\n", filerespop);
       fprintf(ficlog,"Problem with forecast resultfile: %s\n", filerespop);
     }
     printf("Computing forecasting: result on file '%s' \n", filerespop);
     fprintf(ficlog,"Computing forecasting: result on file '%s' \n", filerespop);
   
     if (cptcoveff==0) ncodemax[cptcoveff]=1;
   
     if (mobilav!=0) {
       mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
       if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){
         fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
         printf(" Error in movingaverage mobilav=%d\n",mobilav);
       }
     }
   
     stepsize=(int) (stepm+YEARM-1)/YEARM;
     if (stepm<=12) stepsize=1;
     
     agelim=AGESUP;
     
     hstepm=1;
     hstepm=hstepm/stepm; 
     
     if (popforecast==1) {
       if((ficpop=fopen(popfile,"r"))==NULL) {
         printf("Problem with population file : %s\n",popfile);exit(0);
         fprintf(ficlog,"Problem with population file : %s\n",popfile);exit(0);
       } 
       popage=ivector(0,AGESUP);
       popeffectif=vector(0,AGESUP);
       popcount=vector(0,AGESUP);
       
       i=1;   
       while ((c=fscanf(ficpop,"%d %lf\n",&popage[i],&popcount[i])) != EOF) i=i+1;
      
       imx=i;
       for (i=1; i<imx;i++) popeffectif[popage[i]]=popcount[i];
     }
   
     for(cptcov=1,k=0;cptcov<=i2;cptcov++){
      for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
         k=k+1;
         fprintf(ficrespop,"\n#******");
         for(j=1;j<=cptcoveff;j++) {
           fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
         }
         fprintf(ficrespop,"******\n");
         fprintf(ficrespop,"# Age");
         for(j=1; j<=nlstate+ndeath;j++) fprintf(ficrespop," P.%d",j);
         if (popforecast==1)  fprintf(ficrespop," [Population]");
         
         for (cpt=0; cpt<=0;cpt++) { 
           fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt);   
           
           for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ 
             nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); 
             nhstepm = nhstepm/hstepm; 
             
             p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
             oldm=oldms;savm=savms;
             hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
           
             for (h=0; h<=nhstepm; h++){
               if (h==(int) (calagedatem+YEARM*cpt)) {
                 fprintf(ficrespop,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm);
               } 
               for(j=1; j<=nlstate+ndeath;j++) {
                 kk1=0.;kk2=0;
                 for(i=1; i<=nlstate;i++) {              
                   if (mobilav==1) 
                     kk1=kk1+p3mat[i][j][h]*mobaverage[(int)agedeb+1][i][cptcod];
                   else {
                     kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod];
                   }
                 }
                 if (h==(int)(calagedatem+12*cpt)){
                   tabpop[(int)(agedeb)][j][cptcod]=kk1;
                     /*fprintf(ficrespop," %.3f", kk1);
                       if (popforecast==1) fprintf(ficrespop," [%.f]", kk1*popeffectif[(int)agedeb+1]);*/
                 }
               }
               for(i=1; i<=nlstate;i++){
                 kk1=0.;
                   for(j=1; j<=nlstate;j++){
                     kk1= kk1+tabpop[(int)(agedeb)][j][cptcod]; 
                   }
                     tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1*popeffectif[(int)(agedeb+(calagedatem+12*cpt)*hstepm/YEARM*stepm-1)];
               }
   
               if (h==(int)(calagedatem+12*cpt)) for(j=1; j<=nlstate;j++) 
                 fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]);
             }
             free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
           }
         }
    
     /******/
   
         for (cpt=1; cpt<=(anpyram1-anpyram);cpt++) { 
           fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt);   
           for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ 
             nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); 
             nhstepm = nhstepm/hstepm; 
             
             p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
             oldm=oldms;savm=savms;
             hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
             for (h=0; h<=nhstepm; h++){
               if (h==(int) (calagedatem+YEARM*cpt)) {
                 fprintf(ficresf,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm);
               } 
               for(j=1; j<=nlstate+ndeath;j++) {
                 kk1=0.;kk2=0;
                 for(i=1; i<=nlstate;i++) {              
                   kk1=kk1+p3mat[i][j][h]*tabpopprev[(int)agedeb+1][i][cptcod];    
                 }
                 if (h==(int)(calagedatem+12*cpt)) fprintf(ficresf," %15.2f", kk1);        
               }
             }
             free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
           }
         }
      } 
     }
    
     if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
   
     if (popforecast==1) {
       free_ivector(popage,0,AGESUP);
       free_vector(popeffectif,0,AGESUP);
       free_vector(popcount,0,AGESUP);
     }
     free_ma3x(tabpop,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
     free_ma3x(tabpopprev,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
     fclose(ficrespop);
   } /* End of popforecast */
   
   int fileappend(FILE *fichier, char *optionfich)
   {
     if((fichier=fopen(optionfich,"a"))==NULL) {
       printf("Problem with file: %s\n", optionfich);
       fprintf(ficlog,"Problem with file: %s\n", optionfich);
       return (0);
     }
     fflush(fichier);
     return (1);
   }
   
   
   /**************** function prwizard **********************/
   void prwizard(int ncovmodel, int nlstate, int ndeath,  char model[], FILE *ficparo)
   {
   
     /* Wizard to print covariance matrix template */
   
     char ca[32], cb[32], cc[32];
     int i,j, k, l, li, lj, lk, ll, jj, npar, itimes;
     int numlinepar;
   
     printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
     fprintf(ficparo,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
     for(i=1; i <=nlstate; i++){
       jj=0;
       for(j=1; j <=nlstate+ndeath; j++){
         if(j==i) continue;
         jj++;
         /*ca[0]= k+'a'-1;ca[1]='\0';*/
         printf("%1d%1d",i,j);
         fprintf(ficparo,"%1d%1d",i,j);
         for(k=1; k<=ncovmodel;k++){
           /*        printf(" %lf",param[i][j][k]); */
           /*        fprintf(ficparo," %lf",param[i][j][k]); */
           printf(" 0.");
           fprintf(ficparo," 0.");
         }
         printf("\n");
         fprintf(ficparo,"\n");
       }
     }
     printf("# Scales (for hessian or gradient estimation)\n");
     fprintf(ficparo,"# Scales (for hessian or gradient estimation)\n");
     npar= (nlstate+ndeath-1)*nlstate*ncovmodel; /* Number of parameters*/ 
     for(i=1; i <=nlstate; i++){
       jj=0;
       for(j=1; j <=nlstate+ndeath; j++){
         if(j==i) continue;
         jj++;
         fprintf(ficparo,"%1d%1d",i,j);
         printf("%1d%1d",i,j);
         fflush(stdout);
         for(k=1; k<=ncovmodel;k++){
           /*      printf(" %le",delti3[i][j][k]); */
           /*      fprintf(ficparo," %le",delti3[i][j][k]); */
           printf(" 0.");
           fprintf(ficparo," 0.");
         }
         numlinepar++;
         printf("\n");
         fprintf(ficparo,"\n");
       }
     }
     printf("# Covariance matrix\n");
   /* # 121 Var(a12)\n\ */
   /* # 122 Cov(b12,a12) Var(b12)\n\ */
   /* # 131 Cov(a13,a12) Cov(a13,b12, Var(a13)\n\ */
   /* # 132 Cov(b13,a12) Cov(b13,b12, Cov(b13,a13) Var(b13)\n\ */
   /* # 212 Cov(a21,a12) Cov(a21,b12, Cov(a21,a13) Cov(a21,b13) Var(a21)\n\ */
   /* # 212 Cov(b21,a12) Cov(b21,b12, Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21)\n\ */
   /* # 232 Cov(a23,a12) Cov(a23,b12, Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23)\n\ */
   /* # 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n" */
     fflush(stdout);
     fprintf(ficparo,"# Covariance matrix\n");
     /* # 121 Var(a12)\n\ */
     /* # 122 Cov(b12,a12) Var(b12)\n\ */
     /* #   ...\n\ */
     /* # 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n" */
     
     for(itimes=1;itimes<=2;itimes++){
       jj=0;
       for(i=1; i <=nlstate; i++){
         for(j=1; j <=nlstate+ndeath; j++){
           if(j==i) continue;
           for(k=1; k<=ncovmodel;k++){
             jj++;
             ca[0]= k+'a'-1;ca[1]='\0';
             if(itimes==1){
               printf("#%1d%1d%d",i,j,k);
               fprintf(ficparo,"#%1d%1d%d",i,j,k);
             }else{
               printf("%1d%1d%d",i,j,k);
               fprintf(ficparo,"%1d%1d%d",i,j,k);
               /*  printf(" %.5le",matcov[i][j]); */
             }
             ll=0;
             for(li=1;li <=nlstate; li++){
               for(lj=1;lj <=nlstate+ndeath; lj++){
                 if(lj==li) continue;
                 for(lk=1;lk<=ncovmodel;lk++){
                   ll++;
                   if(ll<=jj){
                     cb[0]= lk +'a'-1;cb[1]='\0';
                     if(ll<jj){
                       if(itimes==1){
                         printf(" Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
                         fprintf(ficparo," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
                       }else{
                         printf(" 0.");
                         fprintf(ficparo," 0.");
                       }
                     }else{
                       if(itimes==1){
                         printf(" Var(%s%1d%1d)",ca,i,j);
                         fprintf(ficparo," Var(%s%1d%1d)",ca,i,j);
                       }else{
                         printf(" 0.");
                         fprintf(ficparo," 0.");
                       }
                     }
                   }
                 } /* end lk */
               } /* end lj */
             } /* end li */
             printf("\n");
             fprintf(ficparo,"\n");
             numlinepar++;
           } /* end k*/
         } /*end j */
       } /* end i */
     } /* end itimes */
   
   } /* end of prwizard */
   /******************* Gompertz Likelihood ******************************/
   double gompertz(double x[])
   { 
     double A,B,L=0.0,sump=0.,num=0.;
     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]);*/
   
     for (i=1;i<=imx ; i++)
       {
         if (cens[i] == 1 && wav[i]>1)
           A=-x[1]/(x[2])*(exp(x[2]*(agecens[i]-agegomp))-exp(x[2]*(ageexmed[i]-agegomp)));
         
         if (cens[i] == 0 && wav[i]>1)
           A=-x[1]/(x[2])*(exp(x[2]*(agedc[i]-agegomp))-exp(x[2]*(ageexmed[i]-agegomp)))
                +log(x[1]/YEARM)+x[2]*(agedc[i]-agegomp)+log(YEARM);  
         
         /*if (wav[i] > 1 && agecens[i] > 15) {*/ /* ??? */
         if (wav[i] > 1 ) { /* ??? */
           L=L+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);*/
    
     return -2*L*num/sump;
   }
   
   /******************* Printing html file ***********/
   void printinghtmlmort(char fileres[], char title[], char datafile[], int firstpass, \
                     int lastpass, int stepm, int weightopt, char model[],\
                     int imx,  double p[],double **matcov,double agemortsup){
     int i,k;
   
     fprintf(fichtm,"<ul><li><h4>Result files </h4>\n Force of mortality. Parameters of the Gompertz fit (with confidence interval in brackets):<br>");
     fprintf(fichtm,"  mu(age) =%lf*exp(%lf*(age-%d)) per year<br><br>",p[1],p[2],agegomp);
     for (i=1;i<=2;i++) 
       fprintf(fichtm," p[%d] = %lf [%f ; %f]<br>\n",i,p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(matcov[i][i]));
     fprintf(fichtm,"<br><br><img src=\"graphmort.png\">");
     fprintf(fichtm,"</ul>");
   
   fprintf(fichtm,"<ul><li><h4>Life table</h4>\n <br>");
   
    fprintf(fichtm,"\nAge   l<inf>x</inf>     q<inf>x</inf> d(x,x+1)    L<inf>x</inf>     T<inf>x</inf>     e<infx</inf><br>");
   
    for (k=agegomp;k<(agemortsup-2);k++) 
      fprintf(fichtm,"%d %.0lf %lf %.0lf %.0lf %.0lf %lf<br>\n",k,lsurv[k],p[1]*exp(p[2]*(k-agegomp)),(p[1]*exp(p[2]*(k-agegomp)))*lsurv[k],lpop[k],tpop[k],tpop[k]/lsurv[k]);
   
    
     fflush(fichtm);
   }
   
   /******************* Gnuplot file **************/
   void printinggnuplotmort(char fileres[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){
   
     char dirfileres[132],optfileres[132];
     int m,cpt,k1,i,k,j,jk,k2,k3,ij,l;
     int ng;
   
   
     /*#ifdef windows */
     fprintf(ficgp,"cd \"%s\" \n",pathc);
       /*#endif */
   
   
     strcpy(dirfileres,optionfilefiname);
     strcpy(optfileres,"vpl");
     fprintf(ficgp,"set out \"graphmort.png\"\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 size 0.65,0.65\n");
     fprintf(ficgp,"plot [%d:100] %lf*exp(%lf*(x-%d))",agegomp,p[1],p[2],agegomp);
   
   } 
   
   
   
   
   
   /***********************************************/
   /**************** 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;
   
     char ca[32], cb[32], cc[32];
     char dummy[]="                         ";
     /*  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, 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;
     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 */
     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);
         if(pathr[0] == '\0') break; /* Un peu sale */
       }
     }
     else{
       strcpy(pathtot,argv[1]);
     }
     /*if(getcwd(pathcd, MAXLINE)!= NULL)printf ("Error pathcd\n");*/
     /*cygwin_split_path(pathtot,path,optionfile);
       printf("pathtot=%s, path=%s, optionfile=%s\n",pathtot,path,optionfile);*/
     /* cutv(path,optionfile,pathtot,'\\');*/
   
     /* Split argv[0], imach program to get pathimach */
     printf("\nargv[0]=%s argv[1]=%s, \n",argv[0],argv[1]);
     split(argv[0],pathimach,optionfile,optionfilext,optionfilefiname);
     printf("\nargv[0]=%s pathimach=%s, \noptionfile=%s \noptionfilext=%s \noptionfilefiname=%s\n",argv[0],pathimach,optionfile,optionfilext,optionfilefiname);
    /*   strcpy(pathimach,argv[0]); */
     /* Split argv[1]=pathtot, parameter file name to get path, optionfile, extension and name */
     split(pathtot,path,optionfile,optionfilext,optionfilefiname);
     printf("\npathtot=%s,\npath=%s,\noptionfile=%s \noptionfilext=%s \noptionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);
     chdir(path);
     strcpy(command,"mkdir ");
     strcat(command,optionfilefiname);
     if((outcmd=system(command)) != 0){
       printf("Problem creating directory or it already exists %s%s, err=%d\n",path,optionfilefiname,outcmd);
       /* fprintf(ficlog,"Problem creating directory %s%s\n",path,optionfilefiname); */
       /* fclose(ficlog); */
   /*     exit(1); */
     }
   /*   if((imk=mkdir(optionfilefiname))<0){ */
   /*     perror("mkdir"); */
   /*   } */
   
     /*-------- arguments in the command line --------*/
   
     /* Log file */
     strcat(filelog, optionfilefiname);
     strcat(filelog,".log");    /* */
     if((ficlog=fopen(filelog,"w"))==NULL)    {
       printf("Problem with logfile %s\n",filelog);
       goto end;
     }
     fprintf(ficlog,"Log filename:%s\n",filelog);
     fprintf(ficlog,"\n%s\n%s",version,fullversion);
     fprintf(ficlog,"\nEnter the parameter file name: \n");
     fprintf(ficlog,"pathimach=%s\npathtot=%s\n\
    path=%s \n\
    optionfile=%s\n\
    optionfilext=%s\n\
    optionfilefiname=%s\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname);
   
     printf("Local time (at start):%s",strstart);
     fprintf(ficlog,"Local time (at start): %s",strstart);
     fflush(ficlog);
   /*   (void) gettimeofday(&curr_time,&tzp); */
   /*   printf("Elapsed time %d\n", asc_diff_time(curr_time.tv_sec-start_time.tv_sec,tmpout)); */
   
     /* */
     strcpy(fileres,"r");
     strcat(fileres, optionfilefiname);
     strcat(fileres,".txt");    /* Other files have txt extension */
   
     /*---------arguments file --------*/
   
     if((ficpar=fopen(optionfile,"r"))==NULL)    {
       printf("Problem with optionfile %s\n",optionfile);
       fprintf(ficlog,"Problem with optionfile %s\n",optionfile);
       fflush(ficlog);
       goto end;
     }
   
   
   
     strcpy(filereso,"o");
     strcat(filereso,fileres);
     if((ficparo=fopen(filereso,"w"))==NULL) { /* opened on subdirectory */
       printf("Problem with Output resultfile: %s\n", filereso);
       fprintf(ficlog,"Problem with Output resultfile: %s\n", filereso);
       fflush(ficlog);
       goto end;
     }
   
     /* Reads comments: lines beginning with '#' */
     numlinepar=0;
     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);
   
     fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);
     numlinepar++;
     printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model);
     fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);
     fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);
     fflush(ficlog);
     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);
   
      
     covar=matrix(0,NCOVMAX,1,n); 
     cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement*/
     if (strlen(model)>1) cptcovn=nbocc(model,'+')+1;
   
     ncovmodel=2+cptcovn; /*Number of variables = cptcovn + intercept + age */
     nvar=ncovmodel-1; /* Suppressing age as a basic covariate */
     npar= (nlstate+ndeath-1)*nlstate*ncovmodel; /* Number of parameters*/
   
     delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
     delti=delti3[1][1];
     /*delti=vector(1,npar); *//* Scale of each paramater (output from hesscov)*/
     if(mle==-1){ /* Print a wizard for help writing covariance matrix */
       prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
       printf(" You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
       fprintf(ficlog," You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
       free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); 
       fclose (ficparo);
       fclose (ficlog);
       exit(0);
     }
     else if(mle==-3) {
       prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
       printf(" You choose mle=-3, look at file %s for a template of covariance matrix \n",filereso);
       fprintf(ficlog," You choose mle=-3, look at file %s for a template of covariance matrix \n",filereso);
       param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
       matcov=matrix(1,npar,1,npar);
     }
     else{
       /* Read guess parameters */
       /* 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);
       
       param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
       for(i=1; i <=nlstate; i++){
         j=0;
         for(jj=1; jj <=nlstate+ndeath; jj++){
           if(jj==i) continue;
           j++;
           fscanf(ficpar,"%1d%1d",&i1,&j1);
           if ((i1 != i) && (j1 != j)){
             printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1);
             exit(1);
           }
           fprintf(ficparo,"%1d%1d",i1,j1);
           if(mle==1)
             printf("%1d%1d",i,j);
           fprintf(ficlog,"%1d%1d",i,j);
           for(k=1; k<=ncovmodel;k++){
             fscanf(ficpar," %lf",&param[i][j][k]);
             if(mle==1){
               printf(" %lf",param[i][j][k]);
               fprintf(ficlog," %lf",param[i][j][k]);
             }
             else
               fprintf(ficlog," %lf",param[i][j][k]);
             fprintf(ficparo," %lf",param[i][j][k]);
           }
           fscanf(ficpar,"\n");
           numlinepar++;
           if(mle==1)
             printf("\n");
           fprintf(ficlog,"\n");
           fprintf(ficparo,"\n");
         }
       }  
       fflush(ficlog);
   
       p=param[1][1];
       
       /* 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);
   
       for(i=1; i <=nlstate; i++){
         for(j=1; j <=nlstate+ndeath-1; j++){
           fscanf(ficpar,"%1d%1d",&i1,&j1);
           if ((i1-i)*(j1-j)!=0){
             printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1);
             exit(1);
           }
           printf("%1d%1d",i,j);
           fprintf(ficparo,"%1d%1d",i1,j1);
           fprintf(ficlog,"%1d%1d",i1,j1);
           for(k=1; k<=ncovmodel;k++){
             fscanf(ficpar,"%le",&delti3[i][j][k]);
             printf(" %le",delti3[i][j][k]);
             fprintf(ficparo," %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++){
         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);
     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;
       }
   
       for (j=maxwav;j>=1;j--){
         cutv(stra, strb,line,' '); 
         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 '%d' at line number %d %s 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);
           exit(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.") != 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 interview (mm/yyyy or .) at wave %d.  Exiting.\n",strb, linei,i, line,j);
           exit(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 %ld %s for individual %d, '%s'\nShould be a date of death (mm/yyyy or .).  Exiting.\n",strb, linei,i,line);
         exit(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.") != 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);
         exit(1);
       }
       annais[i]=(double)(year);
       moisnais[i]=(double)(month); 
       strcpy(line,stra);
       
       cutv(stra, strb,line,' '); 
       errno=0;
       lval=strtol(strb,&endptr,10); 
       if( strb[0]=='\0' || (*endptr != '\0')){
         printf("Error reading data around '%d' at line number %ld %s for individual %d\nShould be a weight.  Exiting.\n",lval, i,line,linei);
         exit(1);
       }
       weight[i]=(double)(lval); 
       strcpy(line,stra);
       
       for (j=ncovcol;j>=1;j--){
         cutv(stra, strb,line,' '); 
         errno=0;
         lval=strtol(strb,&endptr,10); 
         if( strb[0]=='\0' || (*endptr != '\0')){
           printf("Error reading data around '%d' at line number %ld %s for individual %d, '%s'\nShould be a covar (meaning 0 for the reference or 1).  Exiting.\n",lval, linei,i, line);
           exit(1);
         }
         if(lval <-1 || lval >1){
           printf("Error reading data around '%d' at line number %ld %s for individual %d, '%s'\nShould be a value of the %d covar (meaning 0 for the reference or 1. IMaCh does not build design variables, do it your self).  Exiting.\n",lval,linei, i,line,j);
           exit(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 */
     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(1,15); /* 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; 
       cptcovprod=j1; /*Number of products */
       
       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);
         goto end;
       }
       
       /* This loop fills the array Tvar from the string 'model'.*/
   
       for(i=(j+1); i>=1;i--){
         cutv(stra,strb,modelsav,'+'); /* keeps in strb after the last + */ 
         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 */
           cutv(strd,strc,strb,'*'); /* strd*strc  Vm*Vn (if not *age)*/
           if (strcmp(strc,"age")==0) { /* Vn*age */
             cptcovprod--;
             cutv(strb,stre,strd,'V');
             Tvar[i]=atoi(stre); /* computes n in Vn and stores in Tvar*/
             cptcovage++;
               Tage[cptcovage]=i;
               /*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 */
             cutv(strb,stre,strc,'V'); /* strc= Vn, stre is n*/
             Tvar[i]=ncovcol+k1;
             cutv(strb,strc,strd,'V'); /* strd was Vm, strc is m */
             Tprod[k1]=i;
             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;
           }
         }
         else { /* no more sum */
           /*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/
          /*  scanf("%d",i);*/
         cutv(strd,strc,strb,'V');
         Tvar[i]=atoi(strc);
         }
         strcpy(modelsav,stra);  
         /*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);*/
   
       /*  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++) {
       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(" 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;
           }
         }
         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);     
           goto end;
         }
       }
     }
   
     /*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); 
   
     agegomp=(int)agemin;
     free_vector(severity,1,maxwav);
     free_imatrix(outcome,1,maxwav+1,1,n);
     free_vector(moisnais,1,n);
     free_vector(annais,1,n);
     /* free_matrix(mint,1,maxwav,1,n);
        free_matrix(anint,1,maxwav,1,n);*/
     free_vector(moisdc,1,n);
     free_vector(andc,1,n);
   
      
     wav=ivector(1,imx);
     dh=imatrix(1,lastpass-firstpass+1,1,imx);
     bh=imatrix(1,lastpass-firstpass+1,1,imx);
     mw=imatrix(1,lastpass-firstpass+1,1,imx);
      
     /* Concatenates waves */
     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 */
   
     Tcode=ivector(1,100);
     nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); 
     ncodemax[1]=1;
     if (cptcovn > 0) tricode(Tvar,nbcode,imx);
         
     codtab=imatrix(1,100,1,10); /* Cross tabulation to get the order of 
                                    the estimations*/
     h=0;
     m=pow(2,cptcoveff);
    
     for(k=1;k<=cptcoveff; k++){
       for(i=1; i <=(m/pow(2,k));i++){
         for(j=1; j <= ncodemax[k]; j++){
           for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){
             h++;
             if (h>m) h=1;codtab[h][k]=j;codtab[h][Tvar[k]]=j;
             /*  printf("h=%d k=%d j=%d codtab[h][k]=%d tvar[k]=%d \n",h, k,j,codtab[h][k],Tvar[k]);*/
           } 
         }
       }
     } 
     /* printf("codtab[1][2]=%d codtab[2][2]=%d",codtab[1][2],codtab[2][2]); 
        codtab[1][2]=1;codtab[2][2]=2; */
     /* for(i=1; i <=m ;i++){ 
        for(k=1; k <=cptcovn; k++){
        printf("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff);
        }
        printf("\n");
        }
        scanf("%d",i);*/
       
     /*------------ gnuplot -------------*/
     strcpy(optionfilegnuplot,optionfilefiname);
     if(mle==-3)
       strcat(optionfilegnuplot,"-mort");
     strcat(optionfilegnuplot,".gp");
   
     if((ficgp=fopen(optionfilegnuplot,"w"))==NULL) {
       printf("Problem with file %s",optionfilegnuplot);
     }
     else{
       fprintf(ficgp,"\n# %s\n", version); 
       fprintf(ficgp,"# %s\n", optionfilegnuplot); 
       fprintf(ficgp,"set missing 'NaNq'\n");
     }
     /*  fclose(ficgp);*/
     /*--------- index.htm --------*/
   
     strcpy(optionfilehtm,optionfilefiname); /* Main html file */
     if(mle==-3)
       strcat(optionfilehtm,"-mort");
     strcat(optionfilehtm,".htm");
     if((fichtm=fopen(optionfilehtm,"w"))==NULL)    {
       printf("Problem with %s \n",optionfilehtm), exit(0);
     }
   
     strcpy(optionfilehtmcov,optionfilefiname); /* Only for matrix of covariance */
     strcat(optionfilehtmcov,"-cov.htm");
     if((fichtmcov=fopen(optionfilehtmcov,"w"))==NULL)    {
       printf("Problem with %s \n",optionfilehtmcov), exit(0);
     }
     else{
     fprintf(fichtmcov,"<body>\n<title>IMaCh Cov %s</title>\n <font size=\"2\">%s <br> %s</font> \
   <hr size=\"2\" color=\"#EC5E5E\"> \n\
   Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n",\
             fileres,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);
     }
   
     fprintf(fichtm,"<body>\n<title>IMaCh %s</title>\n <font size=\"2\">%s <br> %s</font> \
   <hr size=\"2\" color=\"#EC5E5E\"> \n\
   Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n\
   \n\
   <hr  size=\"2\" color=\"#EC5E5E\">\
    <ul><li><h4>Parameter files</h4>\n\
    - Parameter file: <a href=\"%s.%s\">%s.%s</a><br>\n\
    - Copy of the parameter file: <a href=\"o%s\">o%s</a><br>\n\
    - Log file of the run: <a href=\"%s\">%s</a><br>\n\
    - Gnuplot file name: <a href=\"%s\">%s</a><br>\n\
    - Date and time at start: %s</ul>\n",\
             fileres,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model,\
             optionfilefiname,optionfilext,optionfilefiname,optionfilext,\
             fileres,fileres,\
             filelog,filelog,optionfilegnuplot,optionfilegnuplot,strstart);
     fflush(fichtm);
   
     strcpy(pathr,path);
     strcat(pathr,optionfilefiname);
     chdir(optionfilefiname); /* Move to directory named optionfile */
     
     /* Calculates basic frequencies. Computes observed prevalence at single age
        and prints on file fileres'p'. */
     freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart);
   
     fprintf(fichtm,"\n");
     fprintf(fichtm,"<br>Total number of observations=%d <br>\n\
   Youngest age at first (selected) pass %.2f, oldest age %.2f<br>\n\
   Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n",\
             imx,agemin,agemax,jmin,jmax,jmean);
     pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
       oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
       newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
       savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
       oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */
       
      
     /* For Powell, parameters are in a vector p[] starting at p[1]
        so we point p on param[1][1] so that p[1] maps on param[1][1][1] */
     p=param[1][1]; /* *(*(*(param +1)+1)+0) */
   
     globpr=0; /* To get the number ipmx of contributions and the sum of weights*/
   
     if (mle==-3){
       ximort=matrix(1,NDIM,1,NDIM);
       cens=ivector(1,n);
       ageexmed=vector(1,n);
       agecens=vector(1,n);
       dcwave=ivector(1,n);
    
       for (i=1; i<=imx; i++){
         dcwave[i]=-1;
         for (m=firstpass; m<=lastpass; m++)
           if (s[m][i]>nlstate) {
             dcwave[i]=m;
             /*    printf("i=%d j=%d s=%d dcwave=%d\n",i,j, s[j][i],dcwave[i]);*/
             break;
           }
       }
   
       for (i=1; i<=imx; i++) {
         if (wav[i]>0){
           ageexmed[i]=agev[mw[1][i]][i];
           j=wav[i];
           agecens[i]=1.; 
   
           if (ageexmed[i]> 1 && wav[i] > 0){
             agecens[i]=agev[mw[j][i]][i];
             cens[i]= 1;
           }else if (ageexmed[i]< 1) 
             cens[i]= -1;
           if (agedc[i]< AGESUP && agedc[i]>1 && dcwave[i]>firstpass && dcwave[i]<=lastpass)
             cens[i]=0 ;
         }
         else cens[i]=-1;
       }
       
       for (i=1;i<=NDIM;i++) {
         for (j=1;j<=NDIM;j++)
           ximort[i][j]=(i == j ? 1.0 : 0.0);
       }
       
       p[1]=0.0268; p[NDIM]=0.083;
       /*printf("%lf %lf", p[1], p[2]);*/
       
       
       printf("Powell\n");  fprintf(ficlog,"Powell\n");
       strcpy(filerespow,"pow-mort"); 
       strcat(filerespow,fileres);
       if((ficrespow=fopen(filerespow,"w"))==NULL) {
         printf("Problem with resultfile: %s\n", filerespow);
         fprintf(ficlog,"Problem with resultfile: %s\n", filerespow);
       }
       fprintf(ficrespow,"# Powell\n# iter -2*LL");
       /*  for (i=1;i<=nlstate;i++)
           for(j=1;j<=nlstate+ndeath;j++)
           if(j!=i)fprintf(ficrespow," p%1d%1d",i,j);
       */
       fprintf(ficrespow,"\n");
       
       powell(p,ximort,NDIM,ftol,&iter,&fret,gompertz);
       fclose(ficrespow);
       
       hesscov(matcov, p, NDIM, delti, 1e-4, gompertz); 
   
       for(i=1; i <=NDIM; i++)
         for(j=i+1;j<=NDIM;j++)
           matcov[i][j]=matcov[j][i];
       
       printf("\nCovariance matrix\n ");
       for(i=1; i <=NDIM; i++) {
         for(j=1;j<=NDIM;j++){ 
           printf("%f ",matcov[i][j]);
         }
         printf("\n ");
       }
       
       printf("iter=%d MLE=%f Eq=%lf*exp(%lf*(age-%d))\n",iter,-gompertz(p),p[1],p[2],agegomp);
       for (i=1;i<=NDIM;i++) 
         printf("%f [%f ; %f]\n",p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(matcov[i][i]));
   
       lsurv=vector(1,AGESUP);
       lpop=vector(1,AGESUP);
       tpop=vector(1,AGESUP);
       lsurv[agegomp]=100000;
       
       for (k=agegomp;k<=AGESUP;k++) {
         agemortsup=k;
         if (p[1]*exp(p[2]*(k-agegomp))>1) break;
       }
       
       for (k=agegomp;k<agemortsup;k++)
         lsurv[k+1]=lsurv[k]-lsurv[k]*(p[1]*exp(p[2]*(k-agegomp)));
       
       for (k=agegomp;k<agemortsup;k++){
         lpop[k]=(lsurv[k]+lsurv[k+1])/2.;
         sumlpop=sumlpop+lpop[k];
       }
       
       tpop[agegomp]=sumlpop;
       for (k=agegomp;k<(agemortsup-3);k++){
         /*  tpop[k+1]=2;*/
         tpop[k+1]=tpop[k]-lpop[k];
       }
       
       
       printf("\nAge   lx     qx    dx    Lx     Tx     e(x)\n");
       for (k=agegomp;k<(agemortsup-2);k++) 
         printf("%d %.0lf %lf %.0lf %.0lf %.0lf %lf\n",k,lsurv[k],p[1]*exp(p[2]*(k-agegomp)),(p[1]*exp(p[2]*(k-agegomp)))*lsurv[k],lpop[k],tpop[k],tpop[k]/lsurv[k]);
       
       
       replace_back_to_slash(pathc,path); /* Even gnuplot wants a / */
       printinggnuplotmort(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);
       
       printinghtmlmort(fileres,title,datafile, firstpass, lastpass, \
                        stepm, weightopt,\
                        model,imx,p,matcov,agemortsup);
       
       free_vector(lsurv,1,AGESUP);
       free_vector(lpop,1,AGESUP);
       free_vector(tpop,1,AGESUP);
     } /* Endof if mle==-3 */
     
     else{ /* For mle >=1 */
     
       likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
       printf("First Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);
       for (k=1; k<=npar;k++)
         printf(" %d %8.5f",k,p[k]);
       printf("\n");
       globpr=1; /* to print the contributions */
       likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
       printf("Second Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);
       for (k=1; k<=npar;k++)
         printf(" %d %8.5f",k,p[k]);
       printf("\n");
       if(mle>=1){ /* Could be 1 or 2 */
         mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);
       }
       
       /*--------- results files --------------*/
       fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model);
       
       
       fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
       printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
       fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
       for(i=1,jk=1; i <=nlstate; i++){
         for(k=1; k <=(nlstate+ndeath); k++){
           if (k != i) {
             printf("%d%d ",i,k);
             fprintf(ficlog,"%d%d ",i,k);
             fprintf(ficres,"%1d%1d ",i,k);
             for(j=1; j <=ncovmodel; j++){
               printf("%f ",p[jk]);
               fprintf(ficlog,"%f ",p[jk]);
               fprintf(ficres,"%f ",p[jk]);
               jk++; 
             }
             printf("\n");
             fprintf(ficlog,"\n");
             fprintf(ficres,"\n");
           }
         }
       }
       if(mle!=0){
         /* Computing hessian and covariance matrix */
         ftolhess=ftol; /* Usually correct */
         hesscov(matcov, p, npar, delti, ftolhess, func);
       }
       fprintf(ficres,"# Scales (for hessian or gradient estimation)\n");
       printf("# Scales (for hessian or gradient estimation)\n");
       fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n");
       for(i=1,jk=1; i <=nlstate; i++){
         for(j=1; j <=nlstate+ndeath; j++){
           if (j!=i) {
             fprintf(ficres,"%1d%1d",i,j);
             printf("%1d%1d",i,j);
             fprintf(ficlog,"%1d%1d",i,j);
             for(k=1; k<=ncovmodel;k++){
               printf(" %.5e",delti[jk]);
               fprintf(ficlog," %.5e",delti[jk]);
               fprintf(ficres," %.5e",delti[jk]);
               jk++;
             }
             printf("\n");
             fprintf(ficlog,"\n");
             fprintf(ficres,"\n");
           }
         }
       }
       
       fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");
       if(mle>=1)
         printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");
       fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");
       /* # 121 Var(a12)\n\ */
       /* # 122 Cov(b12,a12) Var(b12)\n\ */
       /* # 131 Cov(a13,a12) Cov(a13,b12, Var(a13)\n\ */
       /* # 132 Cov(b13,a12) Cov(b13,b12, Cov(b13,a13) Var(b13)\n\ */
       /* # 212 Cov(a21,a12) Cov(a21,b12, Cov(a21,a13) Cov(a21,b13) Var(a21)\n\ */
       /* # 212 Cov(b21,a12) Cov(b21,b12, Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21)\n\ */
       /* # 232 Cov(a23,a12) Cov(a23,b12, Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23)\n\ */
       /* # 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n" */
       
       
       /* Just to have a covariance matrix which will be more understandable
          even is we still don't want to manage dictionary of variables
       */
       for(itimes=1;itimes<=2;itimes++){
         jj=0;
         for(i=1; i <=nlstate; i++){
           for(j=1; j <=nlstate+ndeath; j++){
             if(j==i) continue;
             for(k=1; k<=ncovmodel;k++){
               jj++;
               ca[0]= k+'a'-1;ca[1]='\0';
               if(itimes==1){
                 if(mle>=1)
                   printf("#%1d%1d%d",i,j,k);
                 fprintf(ficlog,"#%1d%1d%d",i,j,k);
                 fprintf(ficres,"#%1d%1d%d",i,j,k);
               }else{
                 if(mle>=1)
                   printf("%1d%1d%d",i,j,k);
                 fprintf(ficlog,"%1d%1d%d",i,j,k);
                 fprintf(ficres,"%1d%1d%d",i,j,k);
               }
               ll=0;
               for(li=1;li <=nlstate; li++){
                 for(lj=1;lj <=nlstate+ndeath; lj++){
                   if(lj==li) continue;
                   for(lk=1;lk<=ncovmodel;lk++){
                     ll++;
                     if(ll<=jj){
                       cb[0]= lk +'a'-1;cb[1]='\0';
                       if(ll<jj){
                         if(itimes==1){
                           if(mle>=1)
                             printf(" Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
                           fprintf(ficlog," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
                           fprintf(ficres," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
                         }else{
                           if(mle>=1)
                             printf(" %.5e",matcov[jj][ll]); 
                           fprintf(ficlog," %.5e",matcov[jj][ll]); 
                           fprintf(ficres," %.5e",matcov[jj][ll]); 
                         }
                       }else{
                         if(itimes==1){
                           if(mle>=1)
                             printf(" Var(%s%1d%1d)",ca,i,j);
                           fprintf(ficlog," Var(%s%1d%1d)",ca,i,j);
                           fprintf(ficres," Var(%s%1d%1d)",ca,i,j);
                         }else{
                           if(mle>=1)
                             printf(" %.5e",matcov[jj][ll]); 
                           fprintf(ficlog," %.5e",matcov[jj][ll]); 
                           fprintf(ficres," %.5e",matcov[jj][ll]); 
                         }
                       }
                     }
                   } /* end lk */
                 } /* end lj */
               } /* end li */
               if(mle>=1)
                 printf("\n");
               fprintf(ficlog,"\n");
               fprintf(ficres,"\n");
               numlinepar++;
             } /* end k*/
           } /*end j */
         } /* end i */
       } /* end itimes */
       
       fflush(ficlog);
       fflush(ficres);
       
       while((c=getc(ficpar))=='#' && c!= EOF){
         ungetc(c,ficpar);
         fgets(line, MAXLINE, ficpar);
         puts(line);
         fputs(line,ficparo);
       }
       ungetc(c,ficpar);
       
       estepm=0;
       fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm);
       if (estepm==0 || estepm < stepm) estepm=stepm;
       if (fage <= 2) {
         bage = ageminpar;
         fage = agemaxpar;
       }
       
       fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n");
       fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);
       fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);
       
       while((c=getc(ficpar))=='#' && c!= EOF){
         ungetc(c,ficpar);
         fgets(line, MAXLINE, ficpar);
         puts(line);
         fputs(line,ficparo);
       }
       ungetc(c,ficpar);
       
       fscanf(ficpar,"begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf mov_average=%d\n",&jprev1, &mprev1,&anprev1,&jprev2, &mprev2,&anprev2,&mobilav);
       fprintf(ficparo,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
       fprintf(ficres,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
       printf("begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
       fprintf(ficlog,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
       
       while((c=getc(ficpar))=='#' && c!= EOF){
         ungetc(c,ficpar);
         fgets(line, MAXLINE, ficpar);
         puts(line);
         fputs(line,ficparo);
       }
       ungetc(c,ficpar);
       
       
       dateprev1=anprev1+(mprev1-1)/12.+(jprev1-1)/365.;
       dateprev2=anprev2+(mprev2-1)/12.+(jprev2-1)/365.;
       
       fscanf(ficpar,"pop_based=%d\n",&popbased);
       fprintf(ficparo,"pop_based=%d\n",popbased);   
       fprintf(ficres,"pop_based=%d\n",popbased);   
       
       while((c=getc(ficpar))=='#' && c!= EOF){
         ungetc(c,ficpar);
         fgets(line, MAXLINE, ficpar);
         puts(line);
         fputs(line,ficparo);
       }
       ungetc(c,ficpar);
       
       fscanf(ficpar,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj);
       fprintf(ficparo,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
       printf("prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
       fprintf(ficlog,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
       fprintf(ficres,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
       /* day and month of proj2 are not used but only year anproj2.*/
       
       
       
       /*  freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint);*/
       /*,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
       
       replace_back_to_slash(pathc,path); /* Even gnuplot wants a / */
       printinggnuplot(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);
       
       printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,\
                    model,imx,jmin,jmax,jmean,rfileres,popforecast,estepm,\
                    jprev1,mprev1,anprev1,jprev2,mprev2,anprev2);
         
      /*------------ free_vector  -------------*/
      /*  chdir(path); */
    
       free_ivector(wav,1,imx);
       free_imatrix(dh,1,lastpass-firstpass+1,1,imx);
       free_imatrix(bh,1,lastpass-firstpass+1,1,imx);
       free_imatrix(mw,1,lastpass-firstpass+1,1,imx);   
       free_lvector(num,1,n);
       free_vector(agedc,1,n);
       /*free_matrix(covar,0,NCOVMAX,1,n);*/
       /*free_matrix(covar,1,NCOVMAX,1,n);*/
       fclose(ficparo);
       fclose(ficres);
   
   
       /*--------------- Prevalence limit  (period or stable prevalence) --------------*/
     
       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;
           /*printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,Tcode[cptcode],codtab[cptcod][cptcov]);*/
           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);
   
       /*------------- h Pij x at various ages ------------*/
     
       strcpy(filerespij,"pij");  strcat(filerespij,fileres);
       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);
             oldm=oldms;savm=savms;
             hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
             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");
           }
         }
       }
   
       varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart);
   
       fclose(ficrespij);
   
       probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
       for(i=1;i<=AGESUP;i++)
         for(j=1;j<=NCOVMAX;j++)
           for(k=1;k<=NCOVMAX;k++)
             probs[i][j][k]=0.;
   
       /*---------- Forecasting ------------------*/
       /*if((stepm == 1) && (strcmp(model,".")==0)){*/
       if(prevfcast==1){
         /*    if(stepm ==1){*/
         prevforecast(fileres, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);
         /* (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);*/
         /*      }  */
         /*      else{ */
         /*        erreur=108; */
         /*        printf("Warning %d!! You can only forecast the prevalences if the optimization\n  has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */
         /*        fprintf(ficlog,"Warning %d!! You can only forecast the prevalences if the optimization\n  has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */
         /*      } */
       }
     
   
       /*---------- Health expectancies and variances ------------*/
   
       strcpy(filerest,"t");
       strcat(filerest,fileres);
       if((ficrest=fopen(filerest,"w"))==NULL) {
         printf("Problem with total LE resultfile: %s\n", filerest);goto end;
         fprintf(ficlog,"Problem with total LE resultfile: %s\n", filerest);goto end;
       }
       printf("Computing Total Life expectancies with their standard errors: file '%s' \n", filerest); 
       fprintf(ficlog,"Computing Total Life expectancies with their standard errors: file '%s' \n", filerest); 
   
   
       strcpy(filerese,"e");
       strcat(filerese,fileres);
       if((ficreseij=fopen(filerese,"w"))==NULL) {
         printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
         fprintf(ficlog,"Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
       }
       printf("Computing Health Expectancies: result on file '%s' \n", filerese);
       fprintf(ficlog,"Computing Health Expectancies: result on file '%s' \n", filerese);
   
       strcpy(fileresstde,"stde");
       strcat(fileresstde,fileres);
       if((ficresstdeij=fopen(fileresstde,"w"))==NULL) {
         printf("Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);
         fprintf(ficlog,"Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);
       }
       printf("Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);
       fprintf(ficlog,"Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);
   
       strcpy(filerescve,"cve");
       strcat(filerescve,fileres);
       if((ficrescveij=fopen(filerescve,"w"))==NULL) {
         printf("Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);
         fprintf(ficlog,"Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);
       }
       printf("Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);
       fprintf(ficlog,"Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);
   
       strcpy(fileresv,"v");
       strcat(fileresv,fileres);
       if((ficresvij=fopen(fileresv,"w"))==NULL) {
         printf("Problem with variance resultfile: %s\n", fileresv);exit(0);
         fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0);
       }
       printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
       fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
   
       /* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */
       prevalence(probs, agemin, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
       /*  printf("ageminpar=%f, agemax=%f, s[lastpass][imx]=%d, agev[lastpass][imx]=%f, nlstate=%d, imx=%d,  mint[lastpass][imx]=%f, anint[lastpass][imx]=%f,dateprev1=%f, dateprev2=%f, firstpass=%d, lastpass=%d\n",\
           ageminpar, agemax, s[lastpass][imx], agev[lastpass][imx], nlstate, imx, mint[lastpass][imx],anint[lastpass][imx], dateprev1, dateprev2, firstpass, lastpass);
       */
   
       if (mobilav!=0) {
         mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
         if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){
           fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
           printf(" Error in movingaverage mobilav=%d\n",mobilav);
         }
       }
   
       for(cptcov=1,k=0;cptcov<=i1;cptcov++){
         for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
           k=k+1; 
           fprintf(ficrest,"\n#****** ");
           for(j=1;j<=cptcoveff;j++) 
             fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
           fprintf(ficrest,"******\n");
   
           fprintf(ficreseij,"\n#****** ");
           fprintf(ficresstdeij,"\n#****** ");
           fprintf(ficrescveij,"\n#****** ");
           for(j=1;j<=cptcoveff;j++) {
             fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
             fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
             fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
           }
           fprintf(ficreseij,"******\n");
           fprintf(ficresstdeij,"******\n");
           fprintf(ficrescveij,"******\n");
   
           fprintf(ficresvij,"\n#****** ");
           for(j=1;j<=cptcoveff;j++) 
             fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
           fprintf(ficresvij,"******\n");
   
           eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
           oldm=oldms;savm=savms;
           evsij(fileres, eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart);  
           cvevsij(fileres, eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart);  
    
           vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
           oldm=oldms;savm=savms;
           varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,0, mobilav, strstart);
           if(popbased==1){
             varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,popbased,mobilav, strstart);
           }
   
           pstamp(ficrest);
           fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# Age ( e.. (std) ");
           for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);
           fprintf(ficrest,"\n");
   
           epj=vector(1,nlstate+1);
           for(age=bage; age <=fage ;age++){
             prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
             if (popbased==1) {
               if(mobilav ==0){
                 for(i=1; i<=nlstate;i++)
                   prlim[i][i]=probs[(int)age][i][k];
               }else{ /* mobilav */ 
                 for(i=1; i<=nlstate;i++)
                   prlim[i][i]=mobaverage[(int)age][i][k];
               }
             }
           
             fprintf(ficrest," %4.0f",age);
             for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){
               for(i=1, epj[j]=0.;i <=nlstate;i++) {
                 epj[j] += prlim[i][i]*eij[i][j][(int)age];
                 /*  printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]);*/
               }
               epj[nlstate+1] +=epj[j];
             }
   
             for(i=1, vepp=0.;i <=nlstate;i++)
               for(j=1;j <=nlstate;j++)
                 vepp += vareij[i][j][(int)age];
             fprintf(ficrest," %7.3f (%7.3f)", epj[nlstate+1],sqrt(vepp));
             for(j=1;j <=nlstate;j++){
               fprintf(ficrest," %7.3f (%7.3f)", epj[j],sqrt(vareij[j][j][(int)age]));
             }
             fprintf(ficrest,"\n");
           }
           free_ma3x(eij,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(weight,1,n);
       free_imatrix(Tvard,1,15,1,2);
       free_imatrix(s,1,maxwav+1,1,n);
       free_matrix(anint,1,maxwav,1,n); 
       free_matrix(mint,1,maxwav,1,n);
       free_ivector(cod,1,n);
       free_ivector(tab,1,NCOVMAX);
       fclose(ficreseij);
       fclose(ficresstdeij);
       fclose(ficrescveij);
       fclose(ficresvij);
       fclose(ficrest);
       fclose(ficpar);
     
       /*------- Variance of period (stable) prevalence------*/   
   
       strcpy(fileresvpl,"vpl");
       strcat(fileresvpl,fileres);
       if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {
         printf("Problem with variance of period (stable) prevalence  resultfile: %s\n", fileresvpl);
         exit(0);
       }
       printf("Computing Variance-covariance of period (stable) prevalence: file '%s' \n", fileresvpl);
   
       for(cptcov=1,k=0;cptcov<=i1;cptcov++){
         for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
           k=k+1;
           fprintf(ficresvpl,"\n#****** ");
           for(j=1;j<=cptcoveff;j++) 
             fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
           fprintf(ficresvpl,"******\n");
         
           varpl=matrix(1,nlstate,(int) bage, (int) fage);
           oldm=oldms;savm=savms;
           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);
         }
       }
   
       fclose(ficresvpl);
   
       /*---------- End : free ----------------*/
       if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
       free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
   
     }  /* mle==-3 arrives here for freeing */
     free_matrix(prlim,1,nlstate,1,nlstate);
       free_matrix(pmmij,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(savms, 1,nlstate+ndeath,1,nlstate+ndeath);
       free_matrix(covar,0,NCOVMAX,1,n);
       free_matrix(matcov,1,npar,1,npar);
       /*free_vector(delti,1,npar);*/
       free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); 
       free_matrix(agev,1,maxwav,1,imx);
       free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
   
       free_ivector(ncodemax,1,8);
       free_ivector(Tvar,1,15);
       free_ivector(Tprod,1,15);
       free_ivector(Tvaraff,1,15);
       free_ivector(Tage,1,15);
       free_ivector(Tcode,1,100);
   
       free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX);
       free_imatrix(codtab,1,100,1,10);
     fflush(fichtm);
     fflush(ficgp);
     
   
     if((nberr >0) || (nbwarn>0)){
       printf("End of Imach with %d errors and/or %d warnings\n",nberr,nbwarn);
       fprintf(ficlog,"End of Imach with %d errors and/or warnings %d\n",nberr,nbwarn);
     }else{
       printf("End of Imach\n");
       fprintf(ficlog,"End of Imach\n");
     }
     printf("See log file on %s\n",filelog);
     /*  gettimeofday(&end_time, (struct timezone*)0);*/  /* after time */
     (void) gettimeofday(&end_time,&tzp);
     tm = *localtime(&end_time.tv_sec);
     tmg = *gmtime(&end_time.tv_sec);
     strcpy(strtend,asctime(&tm));
     printf("Local time at start %s\nLocal time at end   %s",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 was %d 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 was %d Sec.\n", end_time.tv_sec -start_time.tv_sec);
     /*  printf("Total time was %d uSec.\n", total_usecs);*/
   /*   if(fileappend(fichtm,optionfilehtm)){ */
     fprintf(fichtm,"<br>Local time at start %s<br>Local time at end   %s<br>",strstart, strtend);
     fclose(fichtm);
     fclose(fichtmcov);
     fclose(ficgp);
     fclose(ficlog);
     /*------ End -----------*/
   
     chdir(path);
     /*strcat(plotcmd,CHARSEPARATOR);*/
     sprintf(plotcmd,"gnuplot");
   #ifndef UNIX
     sprintf(plotcmd,"\"%sgnuplot.exe\"",pathimach);
   #endif
     if(!stat(plotcmd,&info)){
       printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);
       if(!stat(getenv("GNUPLOTBIN"),&info)){
         printf("Error gnuplot program not found: %s Environment GNUPLOTBIN not set.\n",plotcmd);fflush(stdout);
       }else
         strcpy(pplotcmd,plotcmd);
   #ifdef UNIX
       strcpy(plotcmd,GNUPLOTPROGRAM);
       if(!stat(plotcmd,&info)){
         printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);
       }else
         strcpy(pplotcmd,plotcmd);
   #endif
     }else
       strcpy(pplotcmd,plotcmd);
     
     sprintf(plotcmd,"%s %s",pplotcmd, optionfilegnuplot);
     printf("Starting graphs with: %s\n",plotcmd);fflush(stdout);
   
     if((outcmd=system(plotcmd)) != 0){
       printf("\n Problem with gnuplot\n");
     }
     printf(" Wait...");
     while (z[0] != 'q') {
       /* chdir(path); */
       printf("\nType e to edit output files, g to graph again and q for exiting: ");
       scanf("%s",z);
   /*     if (z[0] == 'c') system("./imach"); */
       if (z[0] == 'e') {
         printf("Starting browser with: %s",optionfilehtm);fflush(stdout);
         system(optionfilehtm);
       }
       else if (z[0] == 'g') system(plotcmd);
       else if (z[0] == 'q') exit(0);
     }
     end:
     while (z[0] != 'q') {
       printf("\nType  q for exiting: ");
       scanf("%s",z);
     }
   }
   
   
   

Removed from v.1.10  
changed lines
  Added in v.1.118


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