Diff for /imach/src/imach.c between versions 1.81 and 1.108

version 1.81, 2003/06/05 15:41:51 version 1.108, 2006/01/19 18:05:42
Line 1 Line 1
 /* $Id$  /* $Id$
     $State$
     $Log$
     Revision 1.108  2006/01/19 18:05:42  lievre
     Gnuplot problem appeared...
     To be fixed
   
     Revision 1.107  2006/01/19 16:20:37  brouard
     Test existence of gnuplot in imach path
   
     Revision 1.106  2006/01/19 13:24:36  brouard
     Some cleaning and links added in html output
   
     Revision 1.105  2006/01/05 20:23:19  lievre
     *** empty log message ***
   
     Revision 1.104  2005/09/30 16:11:43  lievre
     (Module): sump fixed, loop imx fixed, and simplifications.
     (Module): If the status is missing at the last wave but we know
     that the person is alive, then we can code his/her status as -2
     (instead of missing=-1 in earlier versions) and his/her
     contributions to the likelihood is 1 - Prob of dying from last
     health status (= 1-p13= p11+p12 in the easiest case of somebody in
     the healthy state at last known wave). Version is 0.98
   
     Revision 1.103  2005/09/30 15:54:49  lievre
     (Module): sump fixed, loop imx fixed, and simplifications.
   
     Revision 1.102  2004/09/15 17:31:30  brouard
     Add the possibility to read data file including tab characters.
   
     Revision 1.101  2004/09/15 10:38:38  brouard
     Fix on curr_time
   
     Revision 1.100  2004/07/12 18:29:06  brouard
     Add version for Mac OS X. Just define UNIX in Makefile
   
     Revision 1.99  2004/06/05 08:57:40  brouard
     *** empty log message ***
   
     Revision 1.98  2004/05/16 15:05:56  brouard
     New version 0.97 . First attempt to estimate force of mortality
     directly from the data i.e. without the need of knowing the health
     state at each age, but using a Gompertz model: log u =a + b*age .
     This is the basic analysis of mortality and should be done before any
     other analysis, in order to test if the mortality estimated from the
     cross-longitudinal survey is different from the mortality estimated
     from other sources like vital statistic data.
   
     The same imach parameter file can be used but the option for mle should be -3.
   
     Agnès, who wrote this part of the code, tried to keep most of the
     former routines in order to include the new code within the former code.
   
     The output is very simple: only an estimate of the intercept and of
     the slope with 95% confident intervals.
   
     Current limitations:
     A) Even if you enter covariates, i.e. with the
     model= V1+V2 equation for example, the programm does only estimate a unique global model without covariates.
     B) There is no computation of Life Expectancy nor Life Table.
   
     Revision 1.97  2004/02/20 13:25:42  lievre
     Version 0.96d. Population forecasting command line is (temporarily)
     suppressed.
   
     Revision 1.96  2003/07/15 15:38:55  brouard
     * imach.c (Repository): Errors in subdirf, 2, 3 while printing tmpout is
     rewritten within the same printf. Workaround: many printfs.
   
     Revision 1.95  2003/07/08 07:54:34  brouard
     * imach.c (Repository):
     (Repository): Using imachwizard code to output a more meaningful covariance
     matrix (cov(a12,c31) instead of numbers.
   
     Revision 1.94  2003/06/27 13:00:02  brouard
     Just cleaning
   
     Revision 1.93  2003/06/25 16:33:55  brouard
     (Module): On windows (cygwin) function asctime_r doesn't
     exist so I changed back to asctime which exists.
     (Module): Version 0.96b
   
     Revision 1.92  2003/06/25 16:30:45  brouard
     (Module): On windows (cygwin) function asctime_r doesn't
     exist so I changed back to asctime which exists.
   
     Revision 1.91  2003/06/25 15:30:29  brouard
     * imach.c (Repository): Duplicated warning errors corrected.
     (Repository): Elapsed time after each iteration is now output. It
     helps to forecast when convergence will be reached. Elapsed time
     is stamped in powell.  We created a new html file for the graphs
     concerning matrix of covariance. It has extension -cov.htm.
   
     Revision 1.90  2003/06/24 12:34:15  brouard
     (Module): Some bugs corrected for windows. Also, when
     mle=-1 a template is output in file "or"mypar.txt with the design
     of the covariance matrix to be input.
   
     Revision 1.89  2003/06/24 12:30:52  brouard
     (Module): Some bugs corrected for windows. Also, when
     mle=-1 a template is output in file "or"mypar.txt with the design
     of the covariance matrix to be input.
   
     Revision 1.88  2003/06/23 17:54:56  brouard
     * 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.
   
     Revision 1.87  2003/06/18 12:26:01  brouard
     Version 0.96
   
     Revision 1.86  2003/06/17 20:04:08  brouard
     (Module): Change position of html and gnuplot routines and added
     routine fileappend.
   
     Revision 1.85  2003/06/17 13:12:43  brouard
     * imach.c (Repository): Check when date of death was earlier that
     current date of interview. It may happen when the death was just
     prior to the death. In this case, dh was negative and likelihood
     was wrong (infinity). We still send an "Error" but patch by
     assuming that the date of death was just one stepm after the
     interview.
     (Repository): Because some people have very long ID (first column)
     we changed int to long in num[] and we added a new lvector for
     memory allocation. But we also truncated to 8 characters (left
     truncation)
     (Repository): No more line truncation errors.
   
     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)
   
     Revision 1.83  2003/06/10 13:39:11  lievre
     *** empty log message ***
   
     Revision 1.82  2003/06/05 15:57:20  brouard
     Add log in  imach.c and  fullversion number is now printed.
   
   */
   /*
    Interpolated Markov Chain     Interpolated Markov Chain
   
   Short summary of the programme:    Short summary of the programme:
Line 58 Line 199
   read parameterfile    read parameterfile
   read datafile    read datafile
   concatwav    concatwav
     freqsummary
   if (mle >= 1)    if (mle >= 1)
     mlikeli      mlikeli
   print results files    print results files
Line 89 Line 231
 #include <math.h>  #include <math.h>
 #include <stdio.h>  #include <stdio.h>
 #include <stdlib.h>  #include <stdlib.h>
   #include <string.h>
 #include <unistd.h>  #include <unistd.h>
   
   #include <sys/types.h>
   #include <sys/stat.h>
   #include <errno.h>
   extern int errno;
   
   /* #include <sys/time.h> */
   #include <time.h>
   #include "timeval.h"
   
   /* #include <libintl.h> */
   /* #define _(String) gettext (String) */
   
 #define MAXLINE 256  #define MAXLINE 256
   
 #define GNUPLOTPROGRAM "gnuplot"  #define GNUPLOTPROGRAM "gnuplot"
 /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/  /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/
 #define FILENAMELENGTH 80  #define FILENAMELENGTH 132
 /*#define DEBUG*/  
 #define windows  
 #define GLOCK_ERROR_NOPATH              -1      /* empty path */  #define GLOCK_ERROR_NOPATH              -1      /* empty path */
 #define GLOCK_ERROR_GETCWD              -2      /* cannot get cwd */  #define GLOCK_ERROR_GETCWD              -2      /* cannot get cwd */
   
Line 111 Line 266
 #define YEARM 12. /* Number of months per year */  #define YEARM 12. /* Number of months per year */
 #define AGESUP 130  #define AGESUP 130
 #define AGEBASE 40  #define AGEBASE 40
 #ifdef windows  #define AGEGOMP 10. /* Minimal age for Gompertz adjustment */
 #define DIRSEPARATOR '\\'  #ifdef UNIX
 #define ODIRSEPARATOR '/'  
 #else  
 #define DIRSEPARATOR '/'  #define DIRSEPARATOR '/'
   #define CHARSEPARATOR "/"
 #define ODIRSEPARATOR '\\'  #define ODIRSEPARATOR '\\'
   #else
   #define DIRSEPARATOR '\\'
   #define CHARSEPARATOR "\\"
   #define ODIRSEPARATOR '/'
 #endif  #endif
   
 /* $Id$ */  /* $Id$ */
 /* $Log$  
  * Revision 1.81  2003/06/05 15:41:51  brouard  
  * *** empty log message ***  
  *  
 /* Revision 1.80  2003/06/05 15:34:14  brouard  
 /* Trying to add the true revision in the program and log  
 /*  
 /* Revision 1.79  2003/06/05 15:17:23  brouard  
 /* *** empty log message ***  
 /* */  
 /* $Revision$ */  
 /* $Date$ */  
 /* $State$ */  /* $State$ */
   
 char version[80]="Imach version 0.95a1, June 2003, INED-EUROREVES ";  char version[]="Imach version 0.98a, January 2006, INED-EUROREVES ";
 char fullversion[]="$Revision$ $Date$";   char fullversion[]="$Revision$ $Date$"; 
 int erreur; /* Error number */  int erreur, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings  */
 int nvar;  int nvar;
 int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov;  int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov;
 int npar=NPARMAX;  int npar=NPARMAX;
Line 148  int popbased=0; Line 294  int popbased=0;
 int *wav; /* Number of waves for this individuual 0 is possible */  int *wav; /* Number of waves for this individuual 0 is possible */
 int maxwav; /* Maxim number of waves */  int maxwav; /* Maxim number of waves */
 int jmin, jmax; /* min, max spacing between 2 waves */  int jmin, jmax; /* min, max spacing between 2 waves */
   int gipmx, gsw; /* Global variables on the number of contributions 
                      to the likelihood and the sum of weights (done by funcone)*/
 int mle, weightopt;  int mle, weightopt;
 int **mw; /* mw[mi][i] is number of the mi wave for this individual */  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 */  int **dh; /* dh[mi][i] is number of steps between mi,mi+1 for this individual */
Line 158  double **oldm, **newm, **savm; /* Workin Line 306  double **oldm, **newm, **savm; /* Workin
 double **oldms, **newms, **savms; /* Fixed working pointers to matrices */  double **oldms, **newms, **savms; /* Fixed working pointers to matrices */
 FILE *fic,*ficpar, *ficparo,*ficres,  *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop;  FILE *fic,*ficpar, *ficparo,*ficres,  *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop;
 FILE *ficlog, *ficrespow;  FILE *ficlog, *ficrespow;
   int globpr; /* Global variable for printing or not */
   double fretone; /* Only one call to likelihood */
   long ipmx; /* Number of contributions */
   double sw; /* Sum of weights */
   char filerespow[FILENAMELENGTH];
   char fileresilk[FILENAMELENGTH]; /* File of individual contributions to the likelihood */
   FILE *ficresilk;
 FILE *ficgp,*ficresprob,*ficpop, *ficresprobcov, *ficresprobcor;  FILE *ficgp,*ficresprob,*ficpop, *ficresprobcov, *ficresprobcor;
 FILE *ficresprobmorprev;  FILE *ficresprobmorprev;
 FILE *fichtm; /* Html File */  FILE *fichtm, *fichtmcov; /* Html File */
 FILE *ficreseij;  FILE *ficreseij;
 char filerese[FILENAMELENGTH];  char filerese[FILENAMELENGTH];
 FILE  *ficresvij;  FILE  *ficresvij;
Line 170  char fileresvpl[FILENAMELENGTH]; Line 325  char fileresvpl[FILENAMELENGTH];
 char title[MAXLINE];  char title[MAXLINE];
 char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH],  filerespl[FILENAMELENGTH];  char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH],  filerespl[FILENAMELENGTH];
 char optionfilext[10], optionfilefiname[FILENAMELENGTH], plotcmd[FILENAMELENGTH];  char optionfilext[10], optionfilefiname[FILENAMELENGTH], plotcmd[FILENAMELENGTH];
   char tmpout[FILENAMELENGTH],  tmpout2[FILENAMELENGTH]; 
   char command[FILENAMELENGTH];
   int  outcmd=0;
   
 char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];  char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];
   
 char filelog[FILENAMELENGTH]; /* Log file */  char filelog[FILENAMELENGTH]; /* Log file */
 char filerest[FILENAMELENGTH];  char filerest[FILENAMELENGTH];
 char fileregp[FILENAMELENGTH];  char fileregp[FILENAMELENGTH];
 char popfile[FILENAMELENGTH];  char popfile[FILENAMELENGTH];
   
 char optionfilegnuplot[FILENAMELENGTH], optionfilehtm[FILENAMELENGTH];  char optionfilegnuplot[FILENAMELENGTH], optionfilehtm[FILENAMELENGTH], optionfilehtmcov[FILENAMELENGTH] ;
   
   struct timeval start_time, end_time, curr_time, last_time, forecast_time;
   struct timezone tzp;
   extern int gettimeofday();
   struct tm tmg, tm, tmf, *gmtime(), *localtime();
   long time_value;
   extern long time();
   char strcurr[80], strfor[80];
   
 #define NR_END 1  #define NR_END 1
 #define FREE_ARG char*  #define FREE_ARG char*
Line 206  static double maxarg1,maxarg2; Line 373  static double maxarg1,maxarg2;
 static double sqrarg;  static double sqrarg;
 #define SQR(a) ((sqrarg=(a)) == 0.0 ? 0.0 :sqrarg*sqrarg)  #define SQR(a) ((sqrarg=(a)) == 0.0 ? 0.0 :sqrarg*sqrarg)
 #define SWAP(a,b) {temp=(a);(a)=(b);(b)=temp;}   #define SWAP(a,b) {temp=(a);(a)=(b);(b)=temp;} 
   int agegomp= AGEGOMP;
   
 int imx;   int imx; 
 int stepm;  int stepm=1;
 /* Stepm, step in month: minimum step interpolation*/  /* Stepm, step in month: minimum step interpolation*/
   
 int estepm;  int estepm;
 /* Estepm, step in month to interpolate survival function in order to approximate Life Expectancy*/  /* Estepm, step in month to interpolate survival function in order to approximate Life Expectancy*/
   
 int m,nb;  int m,nb;
 int *num, firstpass=0, lastpass=4,*cod, *ncodemax, *Tage;  long *num;
   int firstpass=0, lastpass=4,*cod, *ncodemax, *Tage,*cens;
 double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint;  double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint;
 double **pmmij, ***probs;  double **pmmij, ***probs;
   double *ageexmed,*agecens;
 double dateintmean=0;  double dateintmean=0;
   
 double *weight;  double *weight;
 int **s; /* Status */  int **s; /* Status */
 double *agedc, **covar, idx;  double *agedc, **covar, idx;
 int **nbcode, *Tcode, *Tvar, **codtab, **Tvard, *Tprod, cptcovprod, *Tvaraff;  int **nbcode, *Tcode, *Tvar, **codtab, **Tvard, *Tprod, cptcovprod, *Tvaraff;
   double *lsurv, *lpop, *tpop;
   
 double ftol=FTOL; /* Tolerance for computing Max Likelihood */  double ftol=FTOL; /* Tolerance for computing Max Likelihood */
 double ftolhess; /* Tolerance for computing hessian */  double ftolhess; /* Tolerance for computing hessian */
Line 231  double ftolhess; /* Tolerance for comput Line 402  double ftolhess; /* Tolerance for comput
 /**************** split *************************/  /**************** split *************************/
 static  int split( char *path, char *dirc, char *name, char *ext, char *finame )  static  int split( char *path, char *dirc, char *name, char *ext, char *finame )
 {  {
     /* From a file name with (full) path (either Unix or Windows) we extract the directory (dirc)
        the name of the file (name), its extension only (ext) and its first part of the name (finame)
     */ 
   char  *ss;                            /* pointer */    char  *ss;                            /* pointer */
   int   l1, l2;                         /* length counters */    int   l1, l2;                         /* length counters */
   
   l1 = strlen(path );                   /* length of path */    l1 = strlen(path );                   /* length of path */
   if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH );    if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH );
   ss= strrchr( path, DIRSEPARATOR );            /* find last / */    ss= strrchr( path, DIRSEPARATOR );            /* find last / */
   if ( ss == NULL ) {                   /* no directory, so use current */    if ( ss == NULL ) {                   /* no directory, so determine current directory */
       strcpy( name, path );               /* we got the fullname name because no directory */
     /*if(strrchr(path, ODIRSEPARATOR )==NULL)      /*if(strrchr(path, ODIRSEPARATOR )==NULL)
       printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/        printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/
     /* get current working directory */      /* get current working directory */
Line 245  static int split( char *path, char *dirc Line 420  static int split( char *path, char *dirc
     if ( getcwd( dirc, FILENAME_MAX ) == NULL ) {      if ( getcwd( dirc, FILENAME_MAX ) == NULL ) {
       return( GLOCK_ERROR_GETCWD );        return( GLOCK_ERROR_GETCWD );
     }      }
     strcpy( name, path );               /* we've got it */      /* got dirc from getcwd*/
       printf(" DIRC = %s \n",dirc);
   } else {                              /* strip direcotry from path */    } else {                              /* strip direcotry from path */
     ss++;                               /* after this, the filename */      ss++;                               /* after this, the filename */
     l2 = strlen( ss );                  /* length of filename */      l2 = strlen( ss );                  /* length of filename */
Line 253  static int split( char *path, char *dirc Line 429  static int split( char *path, char *dirc
     strcpy( name, ss );         /* save file name */      strcpy( name, ss );         /* save file name */
     strncpy( dirc, path, l1 - l2 );     /* now the directory */      strncpy( dirc, path, l1 - l2 );     /* now the directory */
     dirc[l1-l2] = 0;                    /* add zero */      dirc[l1-l2] = 0;                    /* add zero */
       printf(" DIRC2 = %s \n",dirc);
   }    }
     /* We add a separator at the end of dirc if not exists */
   l1 = strlen( dirc );                  /* length of directory */    l1 = strlen( dirc );                  /* length of directory */
 #ifdef windows    if( dirc[l1-1] != DIRSEPARATOR ){
   if ( dirc[l1-1] != '\\' ) { dirc[l1] = '\\'; dirc[l1+1] = 0; }      dirc[l1] =  DIRSEPARATOR;
 #else      dirc[l1+1] = 0; 
   if ( dirc[l1-1] != '/' ) { dirc[l1] = '/'; dirc[l1+1] = 0; }      printf(" DIRC3 = %s \n",dirc);
 #endif    }
   ss = strrchr( name, '.' );            /* find last / */    ss = strrchr( name, '.' );            /* find last / */
   ss++;    if (ss >0){
   strcpy(ext,ss);                       /* save extension */      ss++;
   l1= strlen( name);      strcpy(ext,ss);                     /* save extension */
   l2= strlen(ss)+1;      l1= strlen( name);
   strncpy( finame, name, l1-l2);      l2= strlen(ss)+1;
   finame[l1-l2]= 0;      strncpy( finame, name, l1-l2);
       finame[l1-l2]= 0;
     }
   
   return( 0 );                          /* we're done */    return( 0 );                          /* we're done */
 }  }
   
   
 /******************************************/  /******************************************/
   
 void replace(char *s, char*t)  void replace_back_to_slash(char *s, char*t)
 {  {
   int i;    int i;
   int lg=20;    int lg=0;
   i=0;    i=0;
   lg=strlen(t);    lg=strlen(t);
   for(i=0; i<= lg; i++) {    for(i=0; i<= lg; i++) {
Line 299  int nbocc(char *s, char occ) Line 480  int nbocc(char *s, char occ)
   
 void cutv(char *u,char *v, char*t, char occ)  void cutv(char *u,char *v, char*t, char occ)
 {  {
   /* cuts string t into u and v where u is ended by char occ excluding it    /* cuts string t into u and v where u ends before first occurence of char 'occ' 
      and v is after occ excluding it too : ex cutv(u,v,"abcdef2ghi2j",2)       and v starts after first occurence of char 'occ' : ex cutv(u,v,"abcdef2ghi2j",'2')
      gives u="abcedf" and v="ghi2j" */       gives u="abcedf" and v="ghi2j" */
   int i,lg,j,p=0;    int i,lg,j,p=0;
   i=0;    i=0;
Line 343  void free_vector(double*v, int nl, int n Line 524  void free_vector(double*v, int nl, int n
 }  }
   
 /************************ivector *******************************/  /************************ivector *******************************/
 char *cvector(long nl,long nh)  int *ivector(long nl,long nh)
 {  {
   char *v;    int *v;
   v=(char *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(char)));    v=(int *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(int)));
   if (!v) nrerror("allocation failure in cvector");    if (!v) nrerror("allocation failure in ivector");
   return v-nl+NR_END;    return v-nl+NR_END;
 }  }
   
 /******************free ivector **************************/  /******************free ivector **************************/
 void free_cvector(char *v, long nl, long nh)  void free_ivector(int *v, long nl, long nh)
 {  {
   free((FREE_ARG)(v+nl-NR_END));    free((FREE_ARG)(v+nl-NR_END));
 }  }
   
 /************************ivector *******************************/  /************************lvector *******************************/
 int *ivector(long nl,long nh)  long *lvector(long nl,long nh)
 {  {
   int *v;    long *v;
   v=(int *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(int)));    v=(long *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(long)));
   if (!v) nrerror("allocation failure in ivector");    if (!v) nrerror("allocation failure in ivector");
   return v-nl+NR_END;    return v-nl+NR_END;
 }  }
   
 /******************free ivector **************************/  /******************free lvector **************************/
 void free_ivector(int *v, long nl, long nh)  void free_lvector(long *v, long nl, long nh)
 {  {
   free((FREE_ARG)(v+nl-NR_END));    free((FREE_ARG)(v+nl-NR_END));
 }  }
Line 426  double **matrix(long nrl, long nrh, long Line 607  double **matrix(long nrl, long nrh, long
   
   for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;    for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
   return m;    return m;
   /* print *(*(m+1)+70) ou print m[1][70]; print m+1 or print &(m[1])     /* print *(*(m+1)+70) or print m[1][70]; print m+1 or print &(m[1]) 
    */     */
 }  }
   
Line 481  void free_ma3x(double ***m, long nrl, lo Line 662  void free_ma3x(double ***m, long nrl, lo
   free((FREE_ARG)(m+nrl-NR_END));    free((FREE_ARG)(m+nrl-NR_END));
 }  }
   
   /*************** function subdirf ***********/
   char *subdirf(char fileres[])
   {
     /* Caution optionfilefiname is hidden */
     strcpy(tmpout,optionfilefiname);
     strcat(tmpout,"/"); /* Add to the right */
     strcat(tmpout,fileres);
     return tmpout;
   }
   
   /*************** function subdirf2 ***********/
   char *subdirf2(char fileres[], char *preop)
   {
     
     /* Caution optionfilefiname is hidden */
     strcpy(tmpout,optionfilefiname);
     strcat(tmpout,"/");
     strcat(tmpout,preop);
     strcat(tmpout,fileres);
     return tmpout;
   }
   
   /*************** function subdirf3 ***********/
   char *subdirf3(char fileres[], char *preop, char *preop2)
   {
     
     /* Caution optionfilefiname is hidden */
     strcpy(tmpout,optionfilefiname);
     strcat(tmpout,"/");
     strcat(tmpout,preop);
     strcat(tmpout,preop2);
     strcat(tmpout,fileres);
     return tmpout;
   }
   
 /***************** f1dim *************************/  /***************** f1dim *************************/
 extern int ncom;   extern int ncom; 
 extern double *pcom,*xicom;  extern double *pcom,*xicom;
Line 656  void linmin(double p[], double xi[], int Line 872  void linmin(double p[], double xi[], int
   free_vector(pcom,1,n);     free_vector(pcom,1,n); 
 }   } 
   
   char *asc_diff_time(long time_sec, char ascdiff[])
   {
     long sec_left, days, hours, minutes;
     days = (time_sec) / (60*60*24);
     sec_left = (time_sec) % (60*60*24);
     hours = (sec_left) / (60*60) ;
     sec_left = (sec_left) %(60*60);
     minutes = (sec_left) /60;
     sec_left = (sec_left) % (60);
     sprintf(ascdiff,"%d day(s) %d hour(s) %d minute(s) %d second(s)",days, hours, minutes, sec_left);  
     return ascdiff;
   }
   
 /*************** powell ************************/  /*************** powell ************************/
 void powell(double p[], double **xi, int n, double ftol, int *iter, double *fret,   void powell(double p[], double **xi, int n, double ftol, int *iter, double *fret, 
             double (*func)(double []))               double (*func)(double [])) 
Line 666  void powell(double p[], double **xi, int Line 895  void powell(double p[], double **xi, int
   double del,t,*pt,*ptt,*xit;    double del,t,*pt,*ptt,*xit;
   double fp,fptt;    double fp,fptt;
   double *xits;    double *xits;
     int niterf, itmp;
   
   pt=vector(1,n);     pt=vector(1,n); 
   ptt=vector(1,n);     ptt=vector(1,n); 
   xit=vector(1,n);     xit=vector(1,n); 
Line 676  void powell(double p[], double **xi, int Line 907  void powell(double p[], double **xi, int
     fp=(*fret);       fp=(*fret); 
     ibig=0;       ibig=0; 
     del=0.0;       del=0.0; 
     printf("\nPowell iter=%d -2*LL=%.12f",*iter,*fret);      last_time=curr_time;
     fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f",*iter,*fret);      (void) gettimeofday(&curr_time,&tzp);
     fprintf(ficrespow,"%d %.12f",*iter,*fret);      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);
     for (i=1;i<=n;i++) {      /*    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);
       fprintf(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tv_sec-start_time.tv_sec);
       */
      for (i=1;i<=n;i++) {
       printf(" %d %.12f",i, p[i]);        printf(" %d %.12f",i, p[i]);
       fprintf(ficlog," %d %.12lf",i, p[i]);        fprintf(ficlog," %d %.12lf",i, p[i]);
       fprintf(ficrespow," %.12lf", p[i]);        fprintf(ficrespow," %.12lf", p[i]);
     }      }
     printf("\n");      printf("\n");
     fprintf(ficlog,"\n");      fprintf(ficlog,"\n");
     fprintf(ficrespow,"\n");      fprintf(ficrespow,"\n");fflush(ficrespow);
       if(*iter <=3){
         tm = *localtime(&curr_time.tv_sec);
         strcpy(strcurr,asctime(&tm));
   /*       asctime_r(&tm,strcurr); */
         forecast_time=curr_time; 
         itmp = strlen(strcurr);
         if(strcurr[itmp-1]=='\n')  /* Windows outputs with a new line */
           strcurr[itmp-1]='\0';
         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);
   /*      asctime_r(&tmf,strfor); */
           strcpy(strfor,asctime(&tmf));
           itmp = strlen(strfor);
           if(strfor[itmp-1]=='\n')
           strfor[itmp-1]='\0';
           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);
           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);
         }
       }
     for (i=1;i<=n;i++) {       for (i=1;i<=n;i++) { 
       for (j=1;j<=n;j++) xit[j]=xi[j][i];         for (j=1;j<=n;j++) xit[j]=xi[j][i]; 
       fptt=(*fret);         fptt=(*fret); 
Line 849  double **pmij(double **ps, double *cov, Line 1105  double **pmij(double **ps, double *cov,
   int i,j,j1, nc, ii, jj;    int i,j,j1, nc, ii, jj;
   
     for(i=1; i<= nlstate; i++){      for(i=1; i<= nlstate; i++){
     for(j=1; j<i;j++){        for(j=1; j<i;j++){
       for (nc=1, s2=0.;nc <=ncovmodel; nc++){          for (nc=1, s2=0.;nc <=ncovmodel; nc++){
         /*s2 += param[i][j][nc]*cov[nc];*/            /*s2 += param[i][j][nc]*cov[nc];*/
         s2 += x[(i-1)*nlstate*ncovmodel+(j-1)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];            s2 += x[(i-1)*nlstate*ncovmodel+(j-1)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];
         /*printf("Int j<i s1=%.17e, s2=%.17e\n",s1,s2);*/  /*       printf("Int j<i s1=%.17e, s2=%.17e\n",s1,s2); */
       }          }
       ps[i][j]=s2;          ps[i][j]=s2;
       /*printf("s1=%.17e, s2=%.17e\n",s1,s2);*/  /*      printf("s1=%.17e, s2=%.17e\n",s1,s2); */
     }        }
     for(j=i+1; j<=nlstate+ndeath;j++){        for(j=i+1; j<=nlstate+ndeath;j++){
       for (nc=1, s2=0.;nc <=ncovmodel; nc++){          for (nc=1, s2=0.;nc <=ncovmodel; nc++){
         s2 += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];            s2 += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];
         /*printf("Int j>i s1=%.17e, s2=%.17e %lx %lx\n",s1,s2,s1,s2);*/  /*        printf("Int j>i s1=%.17e, s2=%.17e %lx %lx\n",s1,s2,s1,s2); */
           }
           ps[i][j]=s2;
       }        }
       ps[i][j]=s2;  
     }      }
   }  
     /*ps[3][2]=1;*/      /*ps[3][2]=1;*/
       
   for(i=1; i<= nlstate; i++){      for(i=1; i<= nlstate; i++){
      s1=0;        s1=0;
     for(j=1; j<i; j++)        for(j=1; j<i; j++)
       s1+=exp(ps[i][j]);          s1+=exp(ps[i][j]);
     for(j=i+1; j<=nlstate+ndeath; j++)        for(j=i+1; j<=nlstate+ndeath; j++)
       s1+=exp(ps[i][j]);          s1+=exp(ps[i][j]);
     ps[i][i]=1./(s1+1.);        ps[i][i]=1./(s1+1.);
     for(j=1; j<i; j++)        for(j=1; j<i; j++)
       ps[i][j]= exp(ps[i][j])*ps[i][i];          ps[i][j]= exp(ps[i][j])*ps[i][i];
     for(j=i+1; j<=nlstate+ndeath; j++)        for(j=i+1; j<=nlstate+ndeath; j++)
       ps[i][j]= exp(ps[i][j])*ps[i][i];          ps[i][j]= exp(ps[i][j])*ps[i][i];
     /* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */        /* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */
   } /* end i */      } /* end i */
       
   for(ii=nlstate+1; ii<= nlstate+ndeath; ii++){      for(ii=nlstate+1; ii<= nlstate+ndeath; ii++){
     for(jj=1; jj<= nlstate+ndeath; jj++){        for(jj=1; jj<= nlstate+ndeath; jj++){
       ps[ii][jj]=0;          ps[ii][jj]=0;
       ps[ii][ii]=1;          ps[ii][ii]=1;
         }
     }      }
   }      
   
   
   /*   for(ii=1; ii<= nlstate+ndeath; ii++){  /*        for(ii=1; ii<= nlstate+ndeath; ii++){ */
     for(jj=1; jj<= nlstate+ndeath; jj++){  /*       for(jj=1; jj<= nlstate+ndeath; jj++){ */
      printf("%lf ",ps[ii][jj]);  /*         printf("ddd %lf ",ps[ii][jj]); */
    }  /*       } */
     printf("\n ");  /*       printf("\n "); */
     }  /*        } */
     printf("\n ");printf("%lf ",cov[2]);*/  /*        printf("\n ");printf("%lf ",cov[2]); */
 /*         /*
   for(i=1; i<= npar; i++) printf("%f ",x[i]);        for(i=1; i<= npar; i++) printf("%f ",x[i]);
   goto end;*/        goto end;*/
     return ps;      return ps;
 }  }
   
Line 1023  double func( double *x) Line 1279  double func( double *x)
         } /* end mult */          } /* end mult */
               
         /*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */          /*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */
         /* But now since version 0.9 we anticipate for bias and large stepm.          /* 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            * If stepm is larger than one month (smallest stepm) and if the exact delay 
          * (in months) between two waves is not a multiple of stepm, we rounded to            * (in months) between two waves is not a multiple of stepm, we rounded to 
          * the nearest (and in case of equal distance, to the lowest) interval but now           * 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           * we keep into memory the bias bh[mi][i] and also the previous matrix product
          * (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the           * (i.e to dh[mi][i]-1) saved in 'savm'. Then we inter(extra)polate the
          * probability in order to take into account the bias as a fraction of the way           * probability in order to take into account the bias as a fraction of the way
          * from savm to out if bh is neagtive or even beyond if bh is positive. bh varies           * from savm to out if bh is negative or even beyond if bh is positive. bh varies
          * -stepm/2 to stepm/2 .           * -stepm/2 to stepm/2 .
          * For stepm=1 the results are the same as for previous versions of Imach.           * For stepm=1 the results are the same as for previous versions of Imach.
          * For stepm > 1 the results are less biased than in previous versions.            * For stepm > 1 the results are less biased than in previous versions. 
Line 1038  double func( double *x) Line 1294  double func( double *x)
         s1=s[mw[mi][i]][i];          s1=s[mw[mi][i]][i];
         s2=s[mw[mi+1][i]][i];          s2=s[mw[mi+1][i]][i];
         bbh=(double)bh[mi][i]/(double)stepm;           bbh=(double)bh[mi][i]/(double)stepm; 
         /* bias is positive if real duration          /* bias bh is positive if real duration
          * is higher than the multiple of stepm and negative otherwise.           * is higher than the multiple of stepm and negative otherwise.
          */           */
         /* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/          /* 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){           if( s2 > nlstate){ 
           /* i.e. if s2 is a death state and if the date of death is known then the contribution            /* i.e. if s2 is a death state and if the date of death is known 
              to the likelihood is the probability to die between last step unit time and current                then the contribution to the likelihood is the probability to 
              step unit time, which is also the differences between probability to die before dh                die between last step unit time and current  step unit time, 
              and probability to die before dh-stepm .                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               In version up to 0.92 likelihood was computed
         as if date of death was unknown. Death was treated as any other          as if date of death was unknown. Death was treated as any other
         health state: the date of the interview describes the actual state          health state: the date of the interview describes the actual state
Line 1066  double func( double *x) Line 1323  double func( double *x)
         lower mortality.          lower mortality.
           */            */
           lli=log(out[s1][s2] - savm[s1][s2]);            lli=log(out[s1][s2] - savm[s1][s2]);
         }else{  
   
           } else if  (s2==-2) {
             for (j=1,survp=0. ; j<=nlstate; j++) 
               survp += out[s1][j];
             lli= survp;
           }
           
           else if  (s2==-4) {
             for (j=3,survp=0. ; j<=nlstate; j++) 
               survp += out[s1][j];
             lli= survp;
           }
           
           else if  (s2==-5) {
             for (j=1,survp=0. ; j<=2; j++) 
               survp += out[s1][j];
             lli= survp;
           }
   
   
           else{
           lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */            lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
           /*  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 */            /*  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 */
         }           } 
Line 1099  double func( double *x) Line 1377  double func( double *x)
           oldm=newm;            oldm=newm;
         } /* end mult */          } /* end mult */
               
         /*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */  
         /* But now since version 0.9 we anticipate for bias and large stepm.  
          * If stepm is larger than one month (smallest stepm) and if the exact delay   
          * (in months) between two waves is not a multiple of stepm, we rounded to   
          * 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  
          * (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the  
          * probability in order to take into account the bias as a fraction of the way  
          * from savm to out if bh is neagtive or even beyond if bh is positive. bh varies  
          * -stepm/2 to stepm/2 .  
          * For stepm=1 the results are the same as for previous versions of Imach.  
          * For stepm > 1 the results are less biased than in previous versions.   
          */  
         s1=s[mw[mi][i]][i];          s1=s[mw[mi][i]][i];
         s2=s[mw[mi+1][i]][i];          s2=s[mw[mi+1][i]][i];
         bbh=(double)bh[mi][i]/(double)stepm;           bbh=(double)bh[mi][i]/(double)stepm; 
         /* bias is positive if real duration  
          * is higher than the multiple of stepm and negative otherwise.  
          */  
         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 */          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 */
         /* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/  
         /*lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.-+bh)*out[s1][s2])); */ /* exponential interpolation */  
         /*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/  
         /*if(lli ==000.0)*/  
         /*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); */  
         ipmx +=1;          ipmx +=1;
         sw += weight[i];          sw += weight[i];
         ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;          ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
Line 1150  double func( double *x) Line 1407  double func( double *x)
           oldm=newm;            oldm=newm;
         } /* end mult */          } /* end mult */
               
         /*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */  
         /* But now since version 0.9 we anticipate for bias and large stepm.  
          * If stepm is larger than one month (smallest stepm) and if the exact delay   
          * (in months) between two waves is not a multiple of stepm, we rounded to   
          * 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  
          * (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the  
          * probability in order to take into account the bias as a fraction of the way  
          * from savm to out if bh is neagtive or even beyond if bh is positive. bh varies  
          * -stepm/2 to stepm/2 .  
          * For stepm=1 the results are the same as for previous versions of Imach.  
          * For stepm > 1 the results are less biased than in previous versions.   
          */  
         s1=s[mw[mi][i]][i];          s1=s[mw[mi][i]][i];
         s2=s[mw[mi+1][i]][i];          s2=s[mw[mi+1][i]][i];
         bbh=(double)bh[mi][i]/(double)stepm;           bbh=(double)bh[mi][i]/(double)stepm; 
         /* bias is positive if real duration  
          * is higher than the multiple of stepm and negative otherwise.  
          */  
         /* 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 */  
         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 */          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 */
         /*lli=(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]);*/  
         /*if(lli ==000.0)*/  
         /*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); */  
         ipmx +=1;          ipmx +=1;
         sw += weight[i];          sw += weight[i];
         ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;          ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
       } /* end of wave */        } /* end of wave */
     } /* end of individual */      } /* end of individual */
   }else{  /* ml=4 no inter-extrapolation */    }else if (mle==4){  /* ml=4 no inter-extrapolation */
       for (i=1,ipmx=0, sw=0.; i<=imx; i++){
         for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
         for(mi=1; mi<= wav[i]-1; mi++){
           for (ii=1;ii<=nlstate+ndeath;ii++)
             for (j=1;j<=nlstate+ndeath;j++){
               oldm[ii][j]=(ii==j ? 1.0 : 0.0);
               savm[ii][j]=(ii==j ? 1.0 : 0.0);
             }
           for(d=0; d<dh[mi][i]; d++){
             newm=savm;
             cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
             for (kk=1; kk<=cptcovage;kk++) {
               cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
             }
           
             out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
                          1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
             savm=oldm;
             oldm=newm;
           } /* end mult */
         
           s1=s[mw[mi][i]][i];
           s2=s[mw[mi+1][i]][i];
           if( s2 > nlstate){ 
             lli=log(out[s1][s2] - savm[s1][s2]);
           }else{
             lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */
           }
           ipmx +=1;
           sw += weight[i];
           ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
   /*      printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */
         } /* end of wave */
       } /* end of individual */
     }else{  /* ml=5 no inter-extrapolation no jackson =0.8a */
     for (i=1,ipmx=0, sw=0.; i<=imx; i++){      for (i=1,ipmx=0, sw=0.; i<=imx; i++){
       for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];        for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
       for(mi=1; mi<= wav[i]-1; mi++){        for(mi=1; mi<= wav[i]-1; mi++){
Line 1201  double func( double *x) Line 1473  double func( double *x)
           oldm=newm;            oldm=newm;
         } /* end mult */          } /* end mult */
               
           s1=s[mw[mi][i]][i];
           s2=s[mw[mi+1][i]][i];
         lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */          lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */
         ipmx +=1;          ipmx +=1;
         sw += weight[i];          sw += weight[i];
         ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;          ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
           /*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]);*/
       } /* end of wave */        } /* end of wave */
     } /* end of individual */      } /* end of individual */
   } /* End of if */    } /* End of if */
Line 1214  double func( double *x) Line 1489  double func( double *x)
   return -l;    return -l;
 }  }
   
   /*************** log-likelihood *************/
   double funcone( double *x)
   {
     /* Same as likeli but slower because of a lot of printf and if */
     int i, ii, j, k, mi, d, kk;
     double l, ll[NLSTATEMAX], cov[NCOVMAX];
     double **out;
     double lli; /* Individual log likelihood */
     double llt;
     int s1, s2;
     double bbh, survp;
     /*extern weight */
     /* We are differentiating ll according to initial status */
     /*  for (i=1;i<=npar;i++) printf("%f ", x[i]);*/
     /*for(i=1;i<imx;i++) 
       printf(" %d\n",s[4][i]);
     */
     cov[1]=1.;
   
     for(k=1; k<=nlstate; k++) ll[k]=0.;
   
     for (i=1,ipmx=0, sw=0.; i<=imx; i++){
       for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
       for(mi=1; mi<= wav[i]-1; mi++){
         for (ii=1;ii<=nlstate+ndeath;ii++)
           for (j=1;j<=nlstate+ndeath;j++){
             oldm[ii][j]=(ii==j ? 1.0 : 0.0);
             savm[ii][j]=(ii==j ? 1.0 : 0.0);
           }
         for(d=0; d<dh[mi][i]; d++){
           newm=savm;
           cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
           for (kk=1; kk<=cptcovage;kk++) {
             cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
           }
           out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
                        1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
           savm=oldm;
           oldm=newm;
         } /* end mult */
         
         s1=s[mw[mi][i]][i];
         s2=s[mw[mi+1][i]][i];
         bbh=(double)bh[mi][i]/(double)stepm; 
         /* bias is positive if real duration
          * is higher than the multiple of stepm and negative otherwise.
          */
         if( s2 > nlstate && (mle <5) ){  /* Jackson */
           lli=log(out[s1][s2] - savm[s1][s2]);
         } else if (mle==1){
           lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
         } 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 */
         } else if(mle==3){  /* exponential inter-extrapolation */
           lli= (savm[s1][s2]>(double)1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */
         } else if (mle==4){  /* mle=4 no inter-extrapolation */
           lli=log(out[s1][s2]); /* Original formula */
         } else{  /* ml>=5 no inter-extrapolation no jackson =0.8a */
           lli=log(out[s1][s2]); /* Original formula */
         } /* End of if */
         ipmx +=1;
         sw += weight[i];
         ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
   /*       printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */
         if(globpr){
           fprintf(ficresilk,"%9d %6d %1d %1d %1d %1d %3d %10.6f %6.4f\
    %10.6f %10.6f %10.6f ", \
                   num[i],i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],
                   2*weight[i]*lli,out[s1][s2],savm[s1][s2]);
           for(k=1,llt=0.,l=0.; k<=nlstate; k++){
             llt +=ll[k]*gipmx/gsw;
             fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw);
           }
           fprintf(ficresilk," %10.6f\n", -llt);
         }
       } /* end of wave */
     } /* end of individual */
     for(k=1,l=0.; k<=nlstate; k++) l += ll[k];
     /* 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 */
     if(globpr==0){ /* First time we count the contributions and weights */
       gipmx=ipmx;
       gsw=sw;
     }
     return -l;
   }
   
   
   /*************** function likelione ***********/
   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 
        the selection of individuals/waves and
        to check the exact contribution to the likelihood.
        Plotting could be done.
      */
     int k;
   
     if(*globpri !=0){ /* Just counts and sums, no printings */
       strcpy(fileresilk,"ilk"); 
       strcat(fileresilk,fileres);
       if((ficresilk=fopen(fileresilk,"w"))==NULL) {
         printf("Problem with resultfile: %s\n", fileresilk);
         fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk);
       }
       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");
       fprintf(ficresilk, "#num_i i s1 s2 mi mw dh likeli weight 2wlli out sav ");
       /*  i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2*weight[i]*lli,out[s1][s2],savm[s1][s2]); */
       for(k=1; k<=nlstate; k++) 
         fprintf(ficresilk," -2*gipw/gsw*weight*ll[%d]++",k);
       fprintf(ficresilk," -2*gipw/gsw*weight*ll(total)\n");
     }
   
     *fretone=(*funcone)(p);
     if(*globpri !=0){
       fclose(ficresilk);
       fprintf(fichtm,"\n<br>File of contributions to the likelihood: <a href=\"%s\">%s</a><br>\n",subdirf(fileresilk),subdirf(fileresilk));
       fflush(fichtm); 
     } 
     return;
   }
   
   
 /*********** Maximum Likelihood Estimation ***************/  /*********** Maximum Likelihood Estimation ***************/
   
Line 1222  void mlikeli(FILE *ficres,double p[], in Line 1619  void mlikeli(FILE *ficres,double p[], in
   int i,j, iter;    int i,j, iter;
   double **xi;    double **xi;
   double fret;    double fret;
   char filerespow[FILENAMELENGTH];    double fretone; /* Only one call to likelihood */
     /*  char filerespow[FILENAMELENGTH];*/
   xi=matrix(1,npar,1,npar);    xi=matrix(1,npar,1,npar);
   for (i=1;i<=npar;i++)    for (i=1;i<=npar;i++)
     for (j=1;j<=npar;j++)      for (j=1;j<=npar;j++)
Line 1239  void mlikeli(FILE *ficres,double p[], in Line 1637  void mlikeli(FILE *ficres,double p[], in
     for(j=1;j<=nlstate+ndeath;j++)      for(j=1;j<=nlstate+ndeath;j++)
       if(j!=i)fprintf(ficrespow," p%1d%1d",i,j);        if(j!=i)fprintf(ficrespow," p%1d%1d",i,j);
   fprintf(ficrespow,"\n");    fprintf(ficrespow,"\n");
   
   powell(p,xi,npar,ftol,&iter,&fret,func);    powell(p,xi,npar,ftol,&iter,&fret,func);
   
   fclose(ficrespow);    fclose(ficrespow);
Line 1256  void hesscov(double **matcov, double p[] Line 1655  void hesscov(double **matcov, double p[]
   int i, j,jk;    int i, j,jk;
   int *indx;    int *indx;
   
   double hessii(double p[], double delta, int theta, double delti[]);    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 hessij(double p[], double delti[], int i, int j,double (*func)(double []),int npar);
   void lubksb(double **a, int npar, int *indx, double b[]) ;    void lubksb(double **a, int npar, int *indx, double b[]) ;
   void ludcmp(double **a, int npar, int *indx, double *d) ;    void ludcmp(double **a, int npar, int *indx, double *d) ;
     double gompertz(double p[]);
   hess=matrix(1,npar,1,npar);    hess=matrix(1,npar,1,npar);
   
   printf("\nCalculation of the hessian matrix. Wait...\n");    printf("\nCalculation of the hessian matrix. Wait...\n");
Line 1268  void hesscov(double **matcov, double p[] Line 1667  void hesscov(double **matcov, double p[]
   for (i=1;i<=npar;i++){    for (i=1;i<=npar;i++){
     printf("%d",i);fflush(stdout);      printf("%d",i);fflush(stdout);
     fprintf(ficlog,"%d",i);fflush(ficlog);      fprintf(ficlog,"%d",i);fflush(ficlog);
     hess[i][i]=hessii(p,ftolhess,i,delti);     
     /*printf(" %f ",p[i]);*/       hess[i][i]=hessii(p,ftolhess,i,delti,func,npar);
     /*printf(" %lf ",hess[i][i]);*/      
       /*  printf(" %f ",p[i]);
           printf(" %lf %lf %lf",hess[i][i],ftolhess,delti[i]);*/
   }    }
       
   for (i=1;i<=npar;i++) {    for (i=1;i<=npar;i++) {
Line 1278  void hesscov(double **matcov, double p[] Line 1679  void hesscov(double **matcov, double p[]
       if (j>i) {         if (j>i) { 
         printf(".%d%d",i,j);fflush(stdout);          printf(".%d%d",i,j);fflush(stdout);
         fprintf(ficlog,".%d%d",i,j);fflush(ficlog);          fprintf(ficlog,".%d%d",i,j);fflush(ficlog);
         hess[i][j]=hessij(p,delti,i,j);          hess[i][j]=hessij(p,delti,i,j,func,npar);
           
         hess[j][i]=hess[i][j];              hess[j][i]=hess[i][j];    
         /*printf(" %lf ",hess[i][j]);*/          /*printf(" %lf ",hess[i][j]);*/
       }        }
Line 1349  void hesscov(double **matcov, double p[] Line 1751  void hesscov(double **matcov, double p[]
 }  }
   
 /*************** hessian matrix ****************/  /*************** hessian matrix ****************/
 double hessii( double x[], double delta, int theta, double delti[])  double hessii(double x[], double delta, int theta, double delti[], double (*func)(double []), int npar)
 {  {
   int i;    int i;
   int l=1, lmax=20;    int l=1, lmax=20;
   double k1,k2;    double k1,k2;
   double p2[NPARMAX+1];    double p2[NPARMAX+1];
   double res;    double res;
   double delt, delts, nkhi=10.,nkhif=1., khi=1.e-4;    double delt=0.0001, delts, nkhi=10.,nkhif=1., khi=1.e-4;
   double fx;    double fx;
   int k=0,kmax=10;    int k=0,kmax=10;
   double l1;    double l1;
Line 1396  double hessii( double x[], double delta, Line 1798  double hessii( double x[], double delta,
       
 }  }
   
 double hessij( double x[], double delti[], int thetai,int thetaj)  double hessij( double x[], double delti[], int thetai,int thetaj,double (*func)(double []),int npar)
 {  {
   int i;    int i;
   int l=1, l1, lmax=20;    int l=1, l1, lmax=20;
Line 1506  void lubksb(double **a, int n, int *indx Line 1908  void lubksb(double **a, int n, int *indx
 }   } 
   
 /************ Frequencies ********************/  /************ Frequencies ********************/
 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, double dateprev1,double dateprev2,double jprev1, double mprev1,double anprev1,double jprev2, double mprev2,double anprev2)  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[])
 {  /* Some frequencies */  {  /* Some frequencies */
       
   int i, m, jk, k1,i1, j1, bool, z1,z2,j;    int i, m, jk, k1,i1, j1, bool, z1,z2,j;
Line 1526  void  freqsummary(char fileres[], int ia Line 1928  void  freqsummary(char fileres[], int ia
     fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);      fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);
     exit(0);      exit(0);
   }    }
   freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);    freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin,iagemax+3);
   j1=0;    j1=0;
       
   j=cptcoveff;    j=cptcoveff;
Line 1539  void  freqsummary(char fileres[], int ia Line 1941  void  freqsummary(char fileres[], int ia
       j1++;        j1++;
       /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);        /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);
         scanf("%d", i);*/          scanf("%d", i);*/
       for (i=-1; i<=nlstate+ndeath; i++)          for (i=-5; i<=nlstate+ndeath; i++)  
         for (jk=-1; jk<=nlstate+ndeath; jk++)            for (jk=-5; jk<=nlstate+ndeath; jk++)  
           for(m=iagemin; m <= iagemax+3; m++)            for(m=iagemin; m <= iagemax+3; m++)
             freq[i][jk][m]=0;              freq[i][jk][m]=0;
   
Line 1560  void  freqsummary(char fileres[], int ia Line 1962  void  freqsummary(char fileres[], int ia
         if (bool==1){          if (bool==1){
           for(m=firstpass; m<=lastpass; m++){            for(m=firstpass; m<=lastpass; m++){
             k2=anint[m][i]+(mint[m][i]/12.);              k2=anint[m][i]+(mint[m][i]/12.);
             if ((k2>=dateprev1) && (k2<=dateprev2)) {              /*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/
               if(agev[m][i]==0) agev[m][i]=iagemax+1;                if(agev[m][i]==0) agev[m][i]=iagemax+1;
               if(agev[m][i]==1) agev[m][i]=iagemax+2;                if(agev[m][i]==1) agev[m][i]=iagemax+2;
               if (s[m][i]>0 && s[m][i]<=nlstate) prop[s[m][i]][(int)agev[m][i]] += weight[i];                if (s[m][i]>0 && s[m][i]<=nlstate) prop[s[m][i]][(int)agev[m][i]] += weight[i];
Line 1573  void  freqsummary(char fileres[], int ia Line 1975  void  freqsummary(char fileres[], int ia
                 dateintsum=dateintsum+k2;                  dateintsum=dateintsum+k2;
                 k2cpt++;                  k2cpt++;
               }                }
             }                /*}*/
           }            }
         }          }
       }        }
                 
       fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);        /*      fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
   fprintf(ficresp, "#Local time at start: %s", strstart);
       if  (cptcovn>0) {        if  (cptcovn>0) {
         fprintf(ficresp, "\n#********** Variable ");           fprintf(ficresp, "\n#********** Variable "); 
         for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);          for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
Line 1639  void  freqsummary(char fileres[], int ia Line 2041  void  freqsummary(char fileres[], int ia
           if( i <= iagemax){            if( i <= iagemax){
             if(pos>=1.e-5){              if(pos>=1.e-5){
               fprintf(ficresp," %d %.5f %.0f %.0f",i,prop[jk][i]/posprop, prop[jk][i],posprop);                fprintf(ficresp," %d %.5f %.0f %.0f",i,prop[jk][i]/posprop, prop[jk][i],posprop);
               probs[i][jk][j1]= pp[jk]/pos;                /*probs[i][jk][j1]= pp[jk]/pos;*/
               /*printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);*/                /*printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);*/
             }              }
             else              else
Line 1665  void  freqsummary(char fileres[], int ia Line 2067  void  freqsummary(char fileres[], int ia
   dateintmean=dateintsum/k2cpt;     dateintmean=dateintsum/k2cpt; 
     
   fclose(ficresp);    fclose(ficresp);
   free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);    free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin, iagemax+3);
   free_vector(pp,1,nlstate);    free_vector(pp,1,nlstate);
   free_matrix(prop,1,nlstate,iagemin, iagemax+3);    free_matrix(prop,1,nlstate,iagemin, iagemax+3);
   /* End of Freq */    /* End of Freq */
 }  }
   
 /************ Prevalence ********************/  /************ Prevalence ********************/
 void prevalence(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)  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    /* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people
      in each health status at the date of interview (if between dateprev1 and dateprev2).       in each health status at the date of interview (if between dateprev1 and dateprev2).
Line 1774  void  concatwav(int wav[], int **dh, int Line 2176  void  concatwav(int wav[], int **dh, int
     mi=0;      mi=0;
     m=firstpass;      m=firstpass;
     while(s[m][i] <= nlstate){      while(s[m][i] <= nlstate){
       if(s[m][i]>=1)        if(s[m][i]>=1 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5)
         mw[++mi][i]=m;          mw[++mi][i]=m;
       if(m >=lastpass)        if(m >=lastpass)
         break;          break;
Line 1790  void  concatwav(int wav[], int **dh, int Line 2192  void  concatwav(int wav[], int **dh, int
   
     wav[i]=mi;      wav[i]=mi;
     if(mi==0){      if(mi==0){
         nbwarn++;
       if(first==0){        if(first==0){
         printf("Warning! None valid information for:%d line=%d (skipped) and may be others, see log file\n",num[i],i);          printf("Warning! None valid information for:%ld line=%d (skipped) and may be others, see log file\n",num[i],i);
         first=1;          first=1;
       }        }
       if(first==1){        if(first==1){
         fprintf(ficlog,"Warning! None valid information for:%d line=%d (skipped)\n",num[i],i);          fprintf(ficlog,"Warning! None valid information for:%ld line=%d (skipped)\n",num[i],i);
       }        }
     } /* end mi==0 */      } /* end mi==0 */
   } /* End individuals */    } /* End individuals */
Line 1807  void  concatwav(int wav[], int **dh, int Line 2210  void  concatwav(int wav[], int **dh, int
       else{        else{
         if (s[mw[mi+1][i]][i] > nlstate) { /* A death */          if (s[mw[mi+1][i]][i] > nlstate) { /* A death */
           if (agedc[i] < 2*AGESUP) {            if (agedc[i] < 2*AGESUP) {
           j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12);               j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12); 
           if(j==0) j=1;  /* Survives at least one month after exam */              if(j==0) j=1;  /* Survives at least one month after exam */
           k=k+1;              else if(j<0){
           if (j >= jmax) jmax=j;                nberr++;
           if (j <= jmin) jmin=j;                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]);
           sum=sum+j;                j=1; /* Temporary Dangerous patch */
           /*if (j<0) printf("j=%d num=%d \n",j,i);*/                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);
           /*      printf("%d %d %d %d\n", s[mw[mi][i]][i] ,s[mw[mi+1][i]][i],j,i);*/                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]);
           if(j<0)printf("Error! Negative delay (%d to death) between waves %d and %d of individual %d 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;
               if (j >= jmax) jmax=j;
               if (j <= jmin) jmin=j;
               sum=sum+j;
               /*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{          else{
           j= rint( (agev[mw[mi+1][i]][i]*12 - agev[mw[mi][i]][i]*12));            j= rint( (agev[mw[mi+1][i]][i]*12 - agev[mw[mi][i]][i]*12));
           /*      printf("%d %d %d %d\n", s[mw[mi][i]][i] ,s[mw[mi+1][i]][i],j,i);*/  /*        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]); */
   
           k=k+1;            k=k+1;
           if (j >= jmax) jmax=j;            if (j >= jmax) jmax=j;
           else if (j <= jmin)jmin=j;            else if (j <= jmin)jmin=j;
           /*        if (j<10) printf("j=%d jmin=%d num=%d ",j,jmin,i); */            /*        if (j<10) printf("j=%d jmin=%d num=%d ",j,jmin,i); */
           /*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]);*/            /*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)printf("Error! Negative delay (%d) between waves %d and %d of individual %d 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]);            if(j<0){
               nberr++;
               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]);
             }
           sum=sum+j;            sum=sum+j;
         }          }
         jk= j/stepm;          jk= j/stepm;
         jl= j -jk*stepm;          jl= j -jk*stepm;
         ju= j -(jk+1)*stepm;          ju= j -(jk+1)*stepm;
         if(mle <=1){           if(mle <=1){ /* only if we use a the linear-interpoloation pseudo-likelihood */
           if(jl==0){            if(jl==0){
             dh[mi][i]=jk;              dh[mi][i]=jk;
             bh[mi][i]=0;              bh[mi][i]=0;
Line 1857  void  concatwav(int wav[], int **dh, int Line 2272  void  concatwav(int wav[], int **dh, int
             bh[mi][i]=ju; /* At least one step */              bh[mi][i]=ju; /* At least one step */
             /*  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);*/              /*  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);*/
           }            }
         }          } /* end if mle */
       } /* end if mle */        }
     } /* end wave */      } /* end wave */
   }    }
   jmean=sum/k;    jmean=sum/k;
Line 1909  void tricode(int *Tvar, int **nbcode, in Line 2324  void tricode(int *Tvar, int **nbcode, in
  for (k=0; k< maxncov; k++) Ndum[k]=0;   for (k=0; k< maxncov; k++) Ndum[k]=0;
   
  for (i=1; i<=ncovmodel-2; i++) {    for (i=1; i<=ncovmodel-2; i++) { 
    /* Listing of all covariables in staement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/     /* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/
    ij=Tvar[i];     ij=Tvar[i];
    Ndum[ij]++;     Ndum[ij]++;
  }   }
Line 1927  void tricode(int *Tvar, int **nbcode, in Line 2342  void tricode(int *Tvar, int **nbcode, in
   
 /*********** Health Expectancies ****************/  /*********** Health Expectancies ****************/
   
 void evsij(char fileres[], double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int ij, int estepm,double delti[],double **matcov )  void evsij(char fileres[], double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int ij, int estepm,double delti[],double **matcov,char strstart[] )
   
 {  {
   /* Health expectancies */    /* Health expectancies */
Line 1945  void evsij(char fileres[], double ***eij Line 2360  void evsij(char fileres[], double ***eij
   dnewm=matrix(1,nlstate*nlstate,1,npar);    dnewm=matrix(1,nlstate*nlstate,1,npar);
   doldm=matrix(1,nlstate*nlstate,1,nlstate*nlstate);    doldm=matrix(1,nlstate*nlstate,1,nlstate*nlstate);
       
     fprintf(ficreseij,"# Local time at start: %s", strstart);
   fprintf(ficreseij,"# Health expectancies\n");    fprintf(ficreseij,"# Health expectancies\n");
   fprintf(ficreseij,"# Age");    fprintf(ficreseij,"# Age");
   for(i=1; i<=nlstate;i++)    for(i=1; i<=nlstate;i++)
Line 2000  void evsij(char fileres[], double ***eij Line 2416  void evsij(char fileres[], double ***eij
   
     hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */      hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
   
     /* Computing Variances of health expectancies */      /* Computing  Variances of health expectancies */
   
      for(theta=1; theta <=npar; theta++){       for(theta=1; theta <=npar; theta++){
       for(i=1; i<=npar; i++){         for(i=1; i<=npar; i++){ 
Line 2099  void evsij(char fileres[], double ***eij Line 2515  void evsij(char fileres[], double ***eij
 }  }
   
 /************ Variance ******************/  /************ 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)  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 */    /* Variance of health expectancies */
   /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/    /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/
Line 2150  void varevsij(char optionfilefiname[], d Line 2566  void varevsij(char optionfilefiname[], d
     fprintf(ficlog,"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);    printf("Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);
    
   fprintf(ficlog,"Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);    fprintf(ficlog,"Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);
     fprintf(ficresprobmorprev, "#Local time at start: %s", strstart);
   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,"# 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);    fprintf(ficresprobmorprev,"# Age cov=%-d",ij);
   for(j=nlstate+1; j<=(nlstate+ndeath);j++){    for(j=nlstate+1; j<=(nlstate+ndeath);j++){
Line 2159  void varevsij(char optionfilefiname[], d Line 2577  void varevsij(char optionfilefiname[], d
       fprintf(ficresprobmorprev," w%1d p%-d%-d",i,i,j);        fprintf(ficresprobmorprev," w%1d p%-d%-d",i,i,j);
   }      }  
   fprintf(ficresprobmorprev,"\n");    fprintf(ficresprobmorprev,"\n");
   if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) {    fprintf(ficgp,"\n# Routine varevsij");
     printf("Problem with gnuplot file: %s\n", optionfilegnuplot);    /* fprintf(fichtm, "#Local time at start: %s", strstart);*/
     fprintf(ficlog,"Problem with gnuplot file: %s\n", optionfilegnuplot);    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");
     exit(0);    fprintf(fichtm,"\n<br>%s  <br>\n",digitp);
   }  /*   } */
   else{  
     fprintf(ficgp,"\n# Routine varevsij");  
   }  
   if((fichtm=fopen(optionfilehtm,"a"))==NULL) {  
     printf("Problem with html file: %s\n", optionfilehtm);  
     fprintf(ficlog,"Problem with html file: %s\n", optionfilehtm);  
     exit(0);  
   }  
   else{  
     fprintf(fichtm,"\n<li><h4> Computing 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);    varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
    fprintf(ficresvij, "#Local time at start: %s", strstart);
   fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n#  (weighted average of eij where weights are the stable prevalence in health states i\n");    fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n#  (weighted average of eij where weights are the stable prevalence in health states i\n");
   fprintf(ficresvij,"# Age");    fprintf(ficresvij,"# Age");
   for(i=1; i<=nlstate;i++)    for(i=1; i<=nlstate;i++)
Line 2387  void varevsij(char optionfilefiname[], d Line 2793  void varevsij(char optionfilefiname[], d
 /*   fprintf(ficgp,"\n plot \"%s\"  u 1:($3*%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); */  /*   fprintf(ficgp,"\n plot \"%s\"  u 1:($3*%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); */
 /*   fprintf(ficgp,"\n replot \"%s\"  u 1:(($3+1.96*$4)*%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */  /*   fprintf(ficgp,"\n replot \"%s\"  u 1:(($3+1.96*$4)*%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */
 /*   fprintf(ficgp,"\n replot \"%s\"  u 1:(($3-1.96*$4)*%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */  /*   fprintf(ficgp,"\n replot \"%s\"  u 1:(($3-1.96*$4)*%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */
   fprintf(ficgp,"\n plot \"%s\"  u 1:($3) not w l 1 ",fileresprobmorprev);    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 ",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 ",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",fileresprobmorprev,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=\"varmuptjgr%s%s%s.png\"> <br>\n", estepm,digitp,optionfilefiname,digit);    fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.png\"> <br>\n", estepm,subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);
   /*  fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,YEARM,digitp,digit);    /*  fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,YEARM,digitp,digit);
 */  */
   fprintf(ficgp,"\nset out \"varmuptjgr%s%s%s.png\";replot;",digitp,optionfilefiname,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_vector(xp,1,npar);
   free_matrix(doldm,1,nlstate,1,nlstate);    free_matrix(doldm,1,nlstate,1,nlstate);
Line 2404  void varevsij(char optionfilefiname[], d Line 2811  void varevsij(char optionfilefiname[], d
   free_matrix(varppt,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);    free_matrix(varppt,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
   if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);    if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
   fclose(ficresprobmorprev);    fclose(ficresprobmorprev);
   fclose(ficgp);    fflush(ficgp);
   fclose(fichtm);    fflush(fichtm); 
 }    }  /* end varevsij */
   
 /************ Variance of prevlim ******************/  /************ 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)  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 */    /* Variance of prevalence limit */
   /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/    /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/
Line 2422  void varprevlim(char fileres[], double * Line 2829  void varprevlim(char fileres[], double *
   double **gradg, **trgradg;    double **gradg, **trgradg;
   double age,agelim;    double age,agelim;
   int theta;    int theta;
        fprintf(ficresvpl, "#Local time at start: %s", strstart); 
   fprintf(ficresvpl,"# Standard deviation of stable prevalences \n");    fprintf(ficresvpl,"# Standard deviation of stable prevalences \n");
   fprintf(ficresvpl,"# Age");    fprintf(ficresvpl,"# Age");
   for(i=1; i<=nlstate;i++)    for(i=1; i<=nlstate;i++)
Line 2492  void varprevlim(char fileres[], double * Line 2899  void varprevlim(char fileres[], double *
 }  }
   
 /************ Variance of one-step probabilities  ******************/  /************ 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)  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 i, j=0,  i1, k1, l1, t, tj;
   int k2, l2, j1,  z1;    int k2, l2, j1,  z1;
Line 2537  void varprob(char optionfilefiname[], do Line 2944  void varprob(char optionfilefiname[], do
   fprintf(ficlog,"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);    printf("and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
   fprintf(ficlog,"and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);    fprintf(ficlog,"and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
       fprintf(ficresprob, "#Local time at start: %s", strstart);
   fprintf(ficresprob,"#One-step probabilities and stand. devi in ()\n");    fprintf(ficresprob,"#One-step probabilities and stand. devi in ()\n");
   fprintf(ficresprob,"# Age");    fprintf(ficresprob,"# Age");
     fprintf(ficresprobcov, "#Local time at start: %s", strstart);
   fprintf(ficresprobcov,"#One-step probabilities and covariance matrix\n");    fprintf(ficresprobcov,"#One-step probabilities and covariance matrix\n");
   fprintf(ficresprobcov,"# Age");    fprintf(ficresprobcov,"# Age");
     fprintf(ficresprobcor, "#Local time at start: %s", strstart);
   fprintf(ficresprobcor,"#One-step probabilities and correlation matrix\n");    fprintf(ficresprobcor,"#One-step probabilities and correlation matrix\n");
   fprintf(ficresprobcov,"# Age");    fprintf(ficresprobcov,"# Age");
   
Line 2562  void varprob(char optionfilefiname[], do Line 2971  void varprob(char optionfilefiname[], do
   mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage);    mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage);
   varpij=ma3x(1,nlstate*(nlstate+ndeath),1,nlstate*(nlstate+ndeath),(int) bage, (int) fage);    varpij=ma3x(1,nlstate*(nlstate+ndeath),1,nlstate*(nlstate+ndeath),(int) bage, (int) fage);
   first=1;    first=1;
   if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) {    fprintf(ficgp,"\n# Routine varprob");
     printf("Problem with gnuplot file: %s\n", optionfilegnuplot);    fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");
     fprintf(ficlog,"Problem with gnuplot file: %s\n", optionfilegnuplot);    fprintf(fichtm,"\n");
     exit(0);  
   }    fprintf(fichtm,"\n<li><h4> <a href=\"%s\">Matrix of variance-covariance of pairs of step probabilities (drawings)</a></h4></li>\n",optionfilehtmcov);
   else{    fprintf(fichtmcov,"\n<h4>Matrix of variance-covariance of pairs of step probabilities</h4>\n\
     fprintf(ficgp,"\n# Routine varprob");    file %s<br>\n",optionfilehtmcov);
   }    fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimated\
   if((fichtm=fopen(optionfilehtm,"a"))==NULL) {  and drawn. It helps understanding how is the covariance between two incidences.\
     printf("Problem with html file: %s\n", optionfilehtm);   They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>\n");
     fprintf(ficlog,"Problem with html file: %s\n", optionfilehtm);    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. \
     exit(0);  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 \
   else{  standard deviations wide on each axis. <br>\
     fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");   Now, if both incidences are correlated (usual case) we diagonalised the inverse of the covariance matrix\
     fprintf(fichtm,"\n");   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");
     fprintf(fichtm,"\n<li><h4> Computing matrix of variance-covariance of step probabilities</h4></li>\n");  
     fprintf(fichtm,"\nWe have drawn ellipsoids of confidence around the p<inf>ij</inf>, p<inf>kl</inf> to understand the covariance between two incidences. They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>\n");  
     fprintf(fichtm,"\n<br> We have drawn x'cov<sup>-1</sup>x = 4 where x is the column vector (pij,pkl). It means that if pij and pkl where uncorrelated the (2X2) matrix would have been (1/(var pij), 0 , 0, 1/(var pkl)), and the confidence interval would be 2 standard deviations wide on each axis. <br> When both incidences are correlated we diagonalised the inverse of the covariance matrix and made the appropriate rotation.<br> \n");  
   
   }  
   
   cov[1]=1;    cov[1]=1;
   tj=cptcoveff;    tj=cptcoveff;
Line 2605  void varprob(char optionfilefiname[], do Line 3009  void varprob(char optionfilefiname[], do
         fprintf(ficgp, "**********\n#\n");          fprintf(ficgp, "**********\n#\n");
                   
                   
         fprintf(fichtm, "\n<hr  size=\"2\" color=\"#EC5E5E\">********** Variable ");           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]]);          for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
         fprintf(fichtm, "**********\n<hr size=\"2\" color=\"#EC5E5E\">");          fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">");
                   
         fprintf(ficresprobcor, "\n#********** Variable ");              fprintf(ficresprobcor, "\n#********** Variable ");    
         for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);          for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
Line 2765  void varprob(char optionfilefiname[], do Line 3169  void varprob(char optionfilefiname[], do
                     fprintf(ficgp,"\nset parametric;unset label");                      fprintf(ficgp,"\nset parametric;unset label");
                     fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2);                      fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2);
                     fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65");                      fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65");
                     fprintf(fichtm,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup> :<a href=\"varpijgr%s%d%1d%1d-%1d%1d.png\">varpijgr%s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,optionfilefiname, j1,k1,l1,k2,l2,optionfilefiname, j1,k1,l1,k2,l2);                      fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\
                     fprintf(fichtm,"\n<br><img src=\"varpijgr%s%d%1d%1d-%1d%1d.png\"> ",optionfilefiname, j1,k1,l1,k2,l2);   :<a href=\"%s%d%1d%1d-%1d%1d.png\">\
                     fprintf(fichtm,"\n<br> Correlation at age %d (%.3f),",(int) age, c12);  %s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,\
                     fprintf(ficgp,"\nset out \"varpijgr%s%d%1d%1d-%1d%1d.png\"",optionfilefiname, j1,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,"\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,"\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",\                      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",\
Line 2776  void varprob(char optionfilefiname[], do Line 3184  void varprob(char optionfilefiname[], do
                             mu2,std,v21,sqrt(lc1),v22,sqrt(lc2));                              mu2,std,v21,sqrt(lc1),v22,sqrt(lc2));
                   }else{                    }else{
                     first=0;                      first=0;
                     fprintf(fichtm," %d (%.3f),",(int) age, c12);                      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,"\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,"\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",\                      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",\
Line 2785  void varprob(char optionfilefiname[], do Line 3193  void varprob(char optionfilefiname[], do
                   }/* if first */                    }/* if first */
                 } /* age mod 5 */                  } /* age mod 5 */
               } /* end loop age */                } /* end loop age */
               fprintf(ficgp,"\nset out \"varpijgr%s%d%1d%1d-%1d%1d.png\";replot;",optionfilefiname, j1,k1,l1,k2,l2);                fprintf(ficgp,"\nset out \"%s%d%1d%1d-%1d%1d.png\";replot;",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);
               first=1;                first=1;
             } /*l12 */              } /*l12 */
           } /* k12 */            } /* k12 */
Line 2799  void varprob(char optionfilefiname[], do Line 3207  void varprob(char optionfilefiname[], do
   fclose(ficresprob);    fclose(ficresprob);
   fclose(ficresprobcov);    fclose(ficresprobcov);
   fclose(ficresprobcor);    fclose(ficresprobcor);
   fclose(ficgp);    fflush(ficgp);
   fclose(fichtm);    fflush(fichtmcov);
 }  }
   
   
Line 2812  void printinghtml(char fileres[], char t Line 3220  void printinghtml(char fileres[], char t
                   double jprev1, double mprev1,double anprev1, \                    double jprev1, double mprev1,double anprev1, \
                   double jprev2, double mprev2,double anprev2){                    double jprev2, double mprev2,double anprev2){
   int jj1, k1, i1, cpt;    int jj1, k1, i1, cpt;
   /*char optionfilehtm[FILENAMELENGTH];*/  
   if((fichtm=fopen(optionfilehtm,"a"))==NULL)    {  
     printf("Problem with %s \n",optionfilehtm), exit(0);  
     fprintf(ficlog,"Problem with %s \n",optionfilehtm), exit(0);  
   }  
   
    fprintf(fichtm,"<ul><li><h4>Result files (first order: no variance)</h4>\n     fprintf(fichtm,"<ul><li><a href='#firstorder'>Result files (first order: no variance)</a>\n \
  - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"p%s\">p%s</a> <br>\n     <li><a href='#secondorder'>Result files (second order (variance)</a>\n \
  - Estimated transition probabilities over %d (stepm) months: <a href=\"pij%s\">pij%s</a><br>\n  </ul>");
  - Stable prevalence in each health state: <a href=\"pl%s\">pl%s</a> <br>\n     fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n \
  - Life expectancies by age and initial health status (estepm=%2d months):    - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> <br>\n ",
    <a href=\"e%s\">e%s</a> <br>\n</li>", \             jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileres,"p"),subdirf2(fileres,"p"));
   jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,fileres,fileres,stepm,fileres,fileres,fileres,fileres,estepm,fileres,fileres);     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,"\
    - Stable prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",
              subdirf2(fileres,"pl"),subdirf2(fileres,"pl"));
      fprintf(fichtm,"\
    - Life expectancies by age and initial health status (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>");  fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");
   
Line 2842  fprintf(fichtm," \n<ul><li><b>Graphs</b> Line 3254  fprintf(fichtm," \n<ul><li><b>Graphs</b>
        fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");         fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
      }       }
      /* Pij */       /* Pij */
      fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: pe%s%d1.png<br>       fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: %s%d1.png<br> \
 <img src=\"pe%s%d1.png\">",stepm,strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1);       <img src=\"%s%d1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);     
      /* Quasi-incidences */       /* Quasi-incidences */
      fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: pe%s%d2.png<br>       fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\
 <img src=\"pe%s%d2.png\">",stepm,strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1);    before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: %s%d2.png<br> \
   <img src=\"%s%d2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1); 
        /* Stable prevalence in each health state */         /* Stable prevalence in each health state */
        for(cpt=1; cpt<nlstate;cpt++){         for(cpt=1; cpt<nlstate;cpt++){
          fprintf(fichtm,"<br>- Stable prevalence in each health state : p%s%d%d.png<br>           fprintf(fichtm,"<br>- Stable prevalence in each health state : p%s%d%d.png<br> \
 <img src=\"p%s%d%d.png\">",strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1);  <img src=\"%s%d%d.png\">",subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1);
        }         }
      for(cpt=1; cpt<=nlstate;cpt++) {       for(cpt=1; cpt<=nlstate;cpt++) {
         fprintf(fichtm,"\n<br>- Health life expectancies by age and initial health state (%d): exp%s%d%d.png <br>          fprintf(fichtm,"\n<br>- Health life expectancies by age and initial health state (%d): %s%d%d.png <br> \
 <img src=\"exp%s%d%d.png\">",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1);  <img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);
      }       }
      fprintf(fichtm,"\n<br>- Total life expectancy by age and  
 health expectancies in states (1) and (2): e%s%d.png<br>  
 <img src=\"e%s%d.png\">",strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1);  
    } /* end i1 */     } /* end i1 */
  }/* End k1 */   }/* End k1 */
  fprintf(fichtm,"</ul>");   fprintf(fichtm,"</ul>");
   
   
  fprintf(fichtm,"\n<br><li><h4> Result files (second order: variances)</h4>\n   fprintf(fichtm,"\
  - Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br>\n  \n<br><li><h4> <a name='secondorder'>Result files (second order: variances)</a></h4>\n\
  - Variance of one-step probabilities: <a href=\"prob%s\">prob%s</a> <br>\n   - Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br>\n", rfileres,rfileres);
  - Variance-covariance of one-step probabilities: <a href=\"probcov%s\">probcov%s</a> <br>\n  
  - Correlation matrix of one-step probabilities: <a href=\"probcor%s\">probcor%s</a> <br>\n   fprintf(fichtm," - Variance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
  - Variances and covariances of life expectancies by age and initial health status (estepm=%d months): <a href=\"v%s\">v%s</a><br>\n            subdirf2(fileres,"prob"),subdirf2(fileres,"prob"));
  - Health expectancies with their variances (no covariance): <a href=\"t%s\">t%s</a> <br>\n   fprintf(fichtm,"\
  - Standard deviation of stable prevalences: <a href=\"vpl%s\">vpl%s</a> <br>\n",rfileres,rfileres,fileres,fileres,fileres,fileres,fileres,fileres, estepm, fileres,fileres,fileres,fileres,fileres,fileres);   - 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 life expectancies by age and initial health status (estepm=%d months): <a href=\"%s\">%s</a><br>\n",
            estepm, subdirf2(fileres,"v"),subdirf2(fileres,"v"));
    fprintf(fichtm,"\
    - Health expectancies with their variances (no covariance): <a href=\"%s\">%s</a> <br>\n",
            subdirf2(fileres,"t"),subdirf2(fileres,"t"));
    fprintf(fichtm,"\
    - Standard deviation of stable prevalences: <a href=\"%s\">%s</a> <br>\n",\
            subdirf2(fileres,"vpl"),subdirf2(fileres,"vpl"));
   
 /*  if(popforecast==1) fprintf(fichtm,"\n */  /*  if(popforecast==1) fprintf(fichtm,"\n */
 /*  - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n */  /*  - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n */
Line 2879  health expectancies in states (1) and (2 Line 3303  health expectancies in states (1) and (2
 /*      <br>",fileres,fileres,fileres,fileres); */  /*      <br>",fileres,fileres,fileres,fileres); */
 /*  else  */  /*  else  */
 /*    fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */  /*    fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */
 fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");   fflush(fichtm);
    fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");
   
  m=cptcoveff;   m=cptcoveff;
  if (cptcovn < 1) {m=1;ncodemax[1]=1;}   if (cptcovn < 1) {m=1;ncodemax[1]=1;}
Line 2895  fprintf(fichtm," <ul><li><b>Graphs</b></ Line 3320  fprintf(fichtm," <ul><li><b>Graphs</b></
        fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");         fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
      }       }
      for(cpt=1; cpt<=nlstate;cpt++) {       for(cpt=1; cpt<=nlstate;cpt++) {
        fprintf(fichtm,"<br>- Observed and period prevalence (with confident         fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \
 interval) in state (%d): v%s%d%d.png <br>  prevalence (with 95%% confidence interval) in state (%d): %s%d%d.png <br>\
 <img src=\"v%s%d%d.png\">",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1);    <img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"v"),cpt,jj1,subdirf2(optionfilefiname,"v"),cpt,jj1);  
      }       }
        fprintf(fichtm,"\n<br>- Total life expectancy by age and \
   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 i1 */
  }/* End k1 */   }/* End k1 */
  fprintf(fichtm,"</ul>");   fprintf(fichtm,"</ul>");
 fclose(fichtm);   fflush(fichtm);
 }  }
   
 /******************* Gnuplot file **************/  /******************* Gnuplot file **************/
 void printinggnuplot(char fileres[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){  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 m,cpt,k1,i,k,j,jk,k2,k3,ij,l;
   int ng;    int ng;
   if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) {  /*   if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */
     printf("Problem with file %s",optionfilegnuplot);  /*     printf("Problem with file %s",optionfilegnuplot); */
     fprintf(ficlog,"Problem with file %s",optionfilegnuplot);  /*     fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */
   }  /*   } */
   
   /*#ifdef windows */    /*#ifdef windows */
     fprintf(ficgp,"cd \"%s\" \n",pathc);    fprintf(ficgp,"cd \"%s\" \n",pathc);
     /*#endif */      /*#endif */
 m=pow(2,cptcoveff);    m=pow(2,cptcoveff);
     
     strcpy(dirfileres,optionfilefiname);
     strcpy(optfileres,"vpl");
  /* 1eme*/   /* 1eme*/
   for (cpt=1; cpt<= nlstate ; cpt ++) {    for (cpt=1; cpt<= nlstate ; cpt ++) {
    for (k1=1; k1<= m ; k1 ++) {     for (k1=1; k1<= m ; k1 ++) {
      fprintf(ficgp,"\nset out \"v%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);       fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"v"),cpt,k1);
      fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"vpl%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,fileres,k1-1,k1-1);       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 ++) {       for (i=1; i<= nlstate ; i ++) {
        if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");         if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
        else fprintf(ficgp," \%%*lf (\%%*lf)");         else fprintf(ficgp," \%%*lf (\%%*lf)");
      }       }
      fprintf(ficgp,"\" t\"Stable prevalence\" w l 0,\"vpl%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",fileres,k1-1,k1-1);       fprintf(ficgp,"\" t\"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 ++) {       for (i=1; i<= nlstate ; i ++) {
        if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");         if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
        else fprintf(ficgp," \%%*lf (\%%*lf)");         else fprintf(ficgp," \%%*lf (\%%*lf)");
      }        } 
      fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"vpl%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",fileres,k1-1,k1-1);        fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1); 
      for (i=1; i<= nlstate ; i ++) {       for (i=1; i<= nlstate ; i ++) {
        if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");         if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
        else fprintf(ficgp," \%%*lf (\%%*lf)");         else fprintf(ficgp," \%%*lf (\%%*lf)");
      }         }  
      fprintf(ficgp,"\" t\"\" w l 1,\"p%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",fileres,k1-1,k1-1,2+4*(cpt-1));       fprintf(ficgp,"\" t\"\" w l 1,\"%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*/    /*2 eme*/
       
   for (k1=1; k1<= m ; k1 ++) {     for (k1=1; k1<= m ; k1 ++) { 
     fprintf(ficgp,"\nset out \"e%s%d.png\" \n",strtok(optionfile, "."),k1);      fprintf(ficgp,"\nset out \"%s%d.png\" \n",subdirf2(optionfilefiname,"e"),k1);
     fprintf(ficgp,"set ylabel \"Years\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] ",ageminpar,fage);      fprintf(ficgp,"set ylabel \"Years\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] ",ageminpar,fage);
           
     for (i=1; i<= nlstate+1 ; i ++) {      for (i=1; i<= nlstate+1 ; i ++) {
       k=2*i;        k=2*i;
       fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:2 \"\%%lf",fileres,k1-1,k1-1);        fprintf(ficgp,"\"%s\" every :::%d::%d u 1:2 \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
       for (j=1; j<= nlstate+1 ; j ++) {        for (j=1; j<= nlstate+1 ; j ++) {
         if (j==i) fprintf(ficgp," \%%lf (\%%lf)");          if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
         else fprintf(ficgp," \%%*lf (\%%*lf)");          else fprintf(ficgp," \%%*lf (\%%*lf)");
       }           }   
       if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,");        if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,");
       else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1);        else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1);
       fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2-$3*2) \"\%%lf",fileres,k1-1,k1-1);        fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2-$3*2) \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
       for (j=1; j<= nlstate+1 ; j ++) {        for (j=1; j<= nlstate+1 ; j ++) {
         if (j==i) fprintf(ficgp," \%%lf (\%%lf)");          if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
         else fprintf(ficgp," \%%*lf (\%%*lf)");          else fprintf(ficgp," \%%*lf (\%%*lf)");
       }           }   
       fprintf(ficgp,"\" t\"\" w l 0,");        fprintf(ficgp,"\" t\"\" w l 0,");
       fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",fileres,k1-1,k1-1);        fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
       for (j=1; j<= nlstate+1 ; j ++) {        for (j=1; j<= nlstate+1 ; j ++) {
         if (j==i) fprintf(ficgp," \%%lf (\%%lf)");          if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
         else fprintf(ficgp," \%%*lf (\%%*lf)");          else fprintf(ficgp," \%%*lf (\%%*lf)");
Line 2979  m=pow(2,cptcoveff); Line 3415  m=pow(2,cptcoveff);
   for (k1=1; k1<= m ; k1 ++) {     for (k1=1; k1<= m ; k1 ++) { 
     for (cpt=1; cpt<= nlstate ; cpt ++) {      for (cpt=1; cpt<= nlstate ; cpt ++) {
       k=2+nlstate*(2*cpt-2);        k=2+nlstate*(2*cpt-2);
       fprintf(ficgp,"\nset out \"exp%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);        fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1);
       fprintf(ficgp,"set ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"e%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,fileres,k1-1,k1-1,k,cpt);        fprintf(ficgp,"set ter png small\n\
   set size 0.65,0.65\n\
   plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileres,"e"),k1-1,k1-1,k,cpt);
       /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);        /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
         for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");          for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
         fprintf(ficgp,"\" t \"e%d1\" w l",cpt);          fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
Line 2990  m=pow(2,cptcoveff); Line 3428  m=pow(2,cptcoveff);
                   
       */        */
       for (i=1; i< nlstate ; i ++) {        for (i=1; i< nlstate ; i ++) {
         fprintf(ficgp," ,\"e%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",fileres,k1-1,k1-1,k+2*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);
                   
       }         } 
     }      }
Line 3000  m=pow(2,cptcoveff); Line 3438  m=pow(2,cptcoveff);
   for (k1=1; k1<= m ; k1 ++) {     for (k1=1; k1<= m ; k1 ++) { 
     for (cpt=1; cpt<=nlstate ; cpt ++) {      for (cpt=1; cpt<=nlstate ; cpt ++) {
       k=3;        k=3;
       fprintf(ficgp,"\nset out \"p%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);        fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"p"),cpt,k1);
       fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",ageminpar,agemaxpar,fileres,k1,k+cpt+1,k+1);        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 ++)        for (i=1; i< nlstate ; i ++)
         fprintf(ficgp,"+$%d",k+i+1);          fprintf(ficgp,"+$%d",k+i+1);
       fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);        fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);
               
       l=3+(nlstate+ndeath)*cpt;        l=3+(nlstate+ndeath)*cpt;
       fprintf(ficgp,",\"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",fileres,k1,l+cpt+1,l+1);        fprintf(ficgp,",\"%s\" u ($1==%d ? ($3):1/0):($%d/($%d",subdirf2(fileres,"pij"),k1,l+cpt+1,l+1);
       for (i=1; i< nlstate ; i ++) {        for (i=1; i< nlstate ; i ++) {
         l=3+(nlstate+ndeath)*cpt;          l=3+(nlstate+ndeath)*cpt;
         fprintf(ficgp,"+$%d",l+i+1);          fprintf(ficgp,"+$%d",l+i+1);
Line 3032  m=pow(2,cptcoveff); Line 3473  m=pow(2,cptcoveff);
   
    for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/     for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/
      for(jk=1; jk <=m; jk++) {       for(jk=1; jk <=m; jk++) {
        fprintf(ficgp,"\nset out \"pe%s%d%d.png\" \n",strtok(optionfile, "."),jk,ng);          fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"pe"),jk,ng); 
        if (ng==2)         if (ng==2)
          fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");           fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");
        else         else
Line 3079  m=pow(2,cptcoveff); Line 3520  m=pow(2,cptcoveff);
        } /* end k2 */         } /* end k2 */
      } /* end jk */       } /* end jk */
    } /* end ng */     } /* end ng */
    fclose(ficgp);      fflush(ficgp); 
 }  /* end gnuplot */  }  /* end gnuplot */
   
   
Line 3142  prevforecast(char fileres[], double anpr Line 3583  prevforecast(char fileres[], double anpr
   char fileresf[FILENAMELENGTH];    char fileresf[FILENAMELENGTH];
   
   agelim=AGESUP;    agelim=AGESUP;
   prevalence(ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);    prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
     
   strcpy(fileresf,"f");     strcpy(fileresf,"f"); 
   strcat(fileresf,fileres);    strcat(fileresf,fileres);
Line 3265  populforecast(char fileres[], double anp Line 3706  populforecast(char fileres[], double anp
   agelim=AGESUP;    agelim=AGESUP;
   calagedatem=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM;    calagedatem=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM;
       
   prevalence(ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);    prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
       
       
   strcpy(filerespop,"pop");     strcpy(filerespop,"pop"); 
Line 3407  populforecast(char fileres[], double anp Line 3848  populforecast(char fileres[], double anp
   free_ma3x(tabpop,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);    free_ma3x(tabpop,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
   free_ma3x(tabpopprev,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);    free_ma3x(tabpopprev,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
   fclose(ficrespop);    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);
 }  }
   
 /***********************************************/  
 /**************** Main Program *****************/  
 /***********************************************/  
   
 int main(int argc, char *argv[])  /**************** function prwizard **********************/
   void prwizard(int ncovmodel, int nlstate, int ndeath,  char model[], FILE *ficparo)
 {  {
   int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav);  
   int i,j, k, n=MAXN,iter,m,size=100,cptcode, cptcod;  
   double agedeb, agefin,hf;  
   double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20;  
   
   double fret;    /* Wizard to print covariance matrix template */
   double **xi,tmp,delta;  
   
   double dum; /* Dummy variable */    char ca[32], cb[32], cc[32];
   double ***p3mat;    int i,j, k, l, li, lj, lk, ll, jj, npar, itimes;
   double ***mobaverage;    int numlinepar;
   int *indx;  
   char line[MAXLINE], linepar[MAXLINE];    printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
   char path[80],pathc[80],pathcd[80],pathtot[80],model[80];    fprintf(ficparo,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
   int firstobs=1, lastobs=10;    for(i=1; i <=nlstate; i++){
   int sdeb, sfin; /* Status at beginning and end */      jj=0;
   int c,  h , cpt,l;      for(j=1; j <=nlstate+ndeath; j++){
   int ju,jl, mi;        if(j==i) continue;
   int i1,j1, k1,k2,k3,jk,aa,bb, stepsize, ij;        jj++;
   int jnais,jdc,jint4,jint1,jint2,jint3,**outcome,*tab;         /*ca[0]= k+'a'-1;ca[1]='\0';*/
   int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */        printf("%1d%1d",i,j);
   int mobilav=0,popforecast=0;        fprintf(ficparo,"%1d%1d",i,j);
   int hstepm, nhstepm;        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) {
           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 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];
     /*  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]; 
     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 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 jpyram=1, mpyram=1,anpyram=2000,jpyram1=1, mpyram1=1,anpyram1=2000;
   
Line 3455  int main(int argc, char *argv[]) Line 4127  int main(int argc, char *argv[])
   double *epj, vepp;    double *epj, vepp;
   double kk1, kk2;    double kk1, kk2;
   double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;    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];    char *alph[]={"a","a","b","c","d","e"}, str[4];
     int *dcwave;
   
   char z[1]="c", occ;    char z[1]="c", occ;
 #include <sys/time.h>  
 #include <time.h>  
   char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];    char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];
     char strstart[80], *strt, strtend[80];
     char *stratrunc;
     int lstra;
   
     long total_usecs;
     
   /* long total_usecs;  /*   setlocale (LC_ALL, ""); */
      struct timeval start_time, end_time;  /*   bindtextdomain (PACKAGE, LOCALEDIR); */
     /*   textdomain (PACKAGE); */
      gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */  /*   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);    getcwd(pathcd, size);
   
   printf("\n%s\n%s",version,fullversion);    printf("\n%s\n%s",version,fullversion);
Line 3478  int main(int argc, char *argv[]) Line 4181  int main(int argc, char *argv[])
   else{    else{
     strcpy(pathtot,argv[1]);      strcpy(pathtot,argv[1]);
   }    }
   /*if(getcwd(pathcd, 80)!= NULL)printf ("Error pathcd\n");*/    /*if(getcwd(pathcd, MAXLINE)!= NULL)printf ("Error pathcd\n");*/
   /*cygwin_split_path(pathtot,path,optionfile);    /*cygwin_split_path(pathtot,path,optionfile);
     printf("pathtot=%s, path=%s, optionfile=%s\n",pathtot,path,optionfile);*/      printf("pathtot=%s, path=%s, optionfile=%s\n",pathtot,path,optionfile);*/
   /* cutv(path,optionfile,pathtot,'\\');*/    /* cutv(path,optionfile,pathtot,'\\');*/
   
     /* Split 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);    split(pathtot,path,optionfile,optionfilext,optionfilefiname);
   printf("pathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);    printf("\npathtot=%s,\npath=%s,\noptionfile=%s \noptionfilext=%s \noptionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);
   chdir(path);    chdir(path);
   replace(pathc,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 --------*/    /*-------- arguments in the command line --------*/
   
Line 3498  int main(int argc, char *argv[]) Line 4217  int main(int argc, char *argv[])
     goto end;      goto end;
   }    }
   fprintf(ficlog,"Log filename:%s\n",filelog);    fprintf(ficlog,"Log filename:%s\n",filelog);
   fprintf(ficlog,"\n%s",version);    fprintf(ficlog,"\n%s\n%s",version,fullversion);
   fprintf(ficlog,"\nEnter the parameter file name: ");    fprintf(ficlog,"\nEnter the parameter file name: \n");
   fprintf(ficlog,"pathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);    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);    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");    strcpy(fileres,"r");
Line 3513  int main(int argc, char *argv[]) Line 4241  int main(int argc, char *argv[])
   if((ficpar=fopen(optionfile,"r"))==NULL)    {    if((ficpar=fopen(optionfile,"r"))==NULL)    {
     printf("Problem with optionfile %s\n",optionfile);      printf("Problem with optionfile %s\n",optionfile);
     fprintf(ficlog,"Problem with optionfile %s\n",optionfile);      fprintf(ficlog,"Problem with optionfile %s\n",optionfile);
       fflush(ficlog);
     goto end;      goto end;
   }    }
   
   
   
   strcpy(filereso,"o");    strcpy(filereso,"o");
   strcat(filereso,fileres);    strcat(filereso,fileres);
   if((ficparo=fopen(filereso,"w"))==NULL) {    if((ficparo=fopen(filereso,"w"))==NULL) { /* opened on subdirectory */
     printf("Problem with Output resultfile: %s\n", filereso);      printf("Problem with Output resultfile: %s\n", filereso);
     fprintf(ficlog,"Problem with Output resultfile: %s\n", filereso);      fprintf(ficlog,"Problem with Output resultfile: %s\n", filereso);
       fflush(ficlog);
     goto end;      goto end;
   }    }
   
   /* Reads comments: lines beginning with '#' */    /* Reads comments: lines beginning with '#' */
     numlinepar=0;
   while((c=getc(ficpar))=='#' && c!= EOF){    while((c=getc(ficpar))=='#' && c!= EOF){
     ungetc(c,ficpar);      ungetc(c,ficpar);
     fgets(line, MAXLINE, ficpar);      fgets(line, MAXLINE, ficpar);
       numlinepar++;
     puts(line);      puts(line);
     fputs(line,ficparo);      fputs(line,ficparo);
       fputs(line,ficlog);
   }    }
   ungetc(c,ficpar);    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);    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);    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(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){    while((c=getc(ficpar))=='#' && c!= EOF){
     ungetc(c,ficpar);      ungetc(c,ficpar);
     fgets(line, MAXLINE, ficpar);      fgets(line, MAXLINE, ficpar);
       numlinepar++;
     puts(line);      puts(line);
     fputs(line,ficparo);      fputs(line,ficparo);
       fputs(line,ficlog);
   }    }
   ungetc(c,ficpar);    ungetc(c,ficpar);
     
         
   covar=matrix(0,NCOVMAX,1,n);     covar=matrix(0,NCOVMAX,1,n); 
   cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement*/    cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement*/
Line 3551  int main(int argc, char *argv[]) Line 4291  int main(int argc, char *argv[])
   
   ncovmodel=2+cptcovn; /*Number of variables = cptcovn + intercept + age */    ncovmodel=2+cptcovn; /*Number of variables = cptcovn + intercept + age */
   nvar=ncovmodel-1; /* Suppressing age as a basic covariate */    nvar=ncovmodel-1; /* Suppressing age as a basic covariate */
       npar= (nlstate+ndeath-1)*nlstate*ncovmodel; /* Number of parameters*/
   /* Read guess parameters */  
   /* Reads comments: lines beginning with '#' */    delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
   while((c=getc(ficpar))=='#' && c!= EOF){    delti=delti3[1][1];
     ungetc(c,ficpar);    /*delti=vector(1,npar); *//* Scale of each paramater (output from hesscov)*/
     fgets(line, MAXLINE, ficpar);    if(mle==-1){ /* Print a wizard for help writing covariance matrix */
     puts(line);      prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
     fputs(line,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);
   }    }
   ungetc(c,ficpar);    else if(mle==-3) {
         prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
   param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);      printf(" You choose mle=-3, look at file %s for a template of covariance matrix \n",filereso);
   for(i=1; i <=nlstate; i++)      fprintf(ficlog," You choose mle=-3, look at file %s for a template of covariance matrix \n",filereso);
     for(j=1; j <=nlstate+ndeath-1; j++){      param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
       fscanf(ficpar,"%1d%1d",&i1,&j1);      matcov=matrix(1,npar,1,npar);
       fprintf(ficparo,"%1d%1d",i1,j1);    }
       if(mle==1)    else{
         printf("%1d%1d",i,j);      /* Read guess parameters */
       fprintf(ficlog,"%1d%1d",i,j);      /* Reads comments: lines beginning with '#' */
       for(k=1; k<=ncovmodel;k++){      while((c=getc(ficpar))=='#' && c!= EOF){
         fscanf(ficpar," %lf",&param[i][j][k]);        ungetc(c,ficpar);
         if(mle==1){        fgets(line, MAXLINE, ficpar);
           printf(" %lf",param[i][j][k]);        numlinepar++;
           fprintf(ficlog," %lf",param[i][j][k]);        puts(line);
         }        fputs(line,ficparo);
         else        fputs(line,ficlog);
           fprintf(ficlog," %lf",param[i][j][k]);  
         fprintf(ficparo," %lf",param[i][j][k]);  
       }  
       fscanf(ficpar,"\n");  
       if(mle==1)  
         printf("\n");  
       fprintf(ficlog,"\n");  
       fprintf(ficparo,"\n");  
     }      }
         ungetc(c,ficpar);
   npar= (nlstate+ndeath-1)*nlstate*ncovmodel; /* Number of parameters*/      
       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];  
         p=param[1][1];
   /* Reads comments: lines beginning with '#' */      
   while((c=getc(ficpar))=='#' && c!= EOF){      /* 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);      ungetc(c,ficpar);
     fgets(line, MAXLINE, ficpar);  
     puts(line);  
     fputs(line,ficparo);  
   }  
   ungetc(c,ficpar);  
   
   delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);      for(i=1; i <=nlstate; i++){
   /* delti=vector(1,npar); *//* Scale of each paramater (output from hesscov) */        for(j=1; j <=nlstate+ndeath-1; j++){
   for(i=1; i <=nlstate; i++){          fscanf(ficpar,"%1d%1d",&i1,&j1);
     for(j=1; j <=nlstate+ndeath-1; j++){          if ((i1-i)*(j1-j)!=0){
       fscanf(ficpar,"%1d%1d",&i1,&j1);            printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1);
       printf("%1d%1d",i,j);            exit(1);
       fprintf(ficparo,"%1d%1d",i1,j1);          }
       for(k=1; k<=ncovmodel;k++){          printf("%1d%1d",i,j);
         fscanf(ficpar,"%le",&delti3[i][j][k]);          fprintf(ficparo,"%1d%1d",i1,j1);
         printf(" %le",delti3[i][j][k]);          fprintf(ficlog,"%1d%1d",i1,j1);
         fprintf(ficparo," %le",delti3[i][j][k]);          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");
       }        }
       fscanf(ficpar,"\n");  
       printf("\n");  
       fprintf(ficparo,"\n");  
     }      }
   }      fflush(ficlog);
   delti=delti3[1][1];  
   
       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 */  
       /* 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 '#' */      /* Reads comments: lines beginning with '#' */
   while((c=getc(ficpar))=='#' && c!= EOF){      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);      ungetc(c,ficpar);
     fgets(line, MAXLINE, ficpar);  
     puts(line);  
     fputs(line,ficparo);  
   }  
   ungetc(c,ficpar);  
       
   matcov=matrix(1,npar,1,npar);      matcov=matrix(1,npar,1,npar);
   for(i=1; i <=npar; i++){      for(i=1; i <=npar; i++){
     fscanf(ficpar,"%s",&str);        fscanf(ficpar,"%s",&str);
     if(mle==1)        if(mle==1)
       printf("%s",str);          printf("%s",str);
     fprintf(ficlog,"%s",str);        fprintf(ficlog,"%s",str);
     fprintf(ficparo,"%s",str);        fprintf(ficparo,"%s",str);
     for(j=1; j <=i; j++){        for(j=1; j <=i; j++){
       fscanf(ficpar," %le",&matcov[i][j]);          fscanf(ficpar," %le",&matcov[i][j]);
       if(mle==1){          if(mle==1){
         printf(" %.5le",matcov[i][j]);            printf(" %.5le",matcov[i][j]);
           }
         fprintf(ficlog," %.5le",matcov[i][j]);          fprintf(ficlog," %.5le",matcov[i][j]);
           fprintf(ficparo," %.5le",matcov[i][j]);
       }        }
       else        fscanf(ficpar,"\n");
         fprintf(ficlog," %.5le",matcov[i][j]);        numlinepar++;
       fprintf(ficparo," %.5le",matcov[i][j]);        if(mle==1)
           printf("\n");
         fprintf(ficlog,"\n");
         fprintf(ficparo,"\n");
     }      }
     fscanf(ficpar,"\n");      for(i=1; i <=npar; i++)
         for(j=i+1;j<=npar;j++)
           matcov[i][j]=matcov[j][i];
       
     if(mle==1)      if(mle==1)
       printf("\n");        printf("\n");
     fprintf(ficlog,"\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");  
   
   
   /*-------- Rewriting paramater 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);  
           
       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 ----------*/    /*-------- data file ----------*/
   if((fic=fopen(datafile,"r"))==NULL)    {    if((fic=fopen(datafile,"r"))==NULL)    {
     printf("Problem with datafile: %s\n", datafile);goto end;      printf("Problem with datafile: %s\n", datafile);goto end;
Line 3683  int main(int argc, char *argv[]) Line 4468  int main(int argc, char *argv[])
   n= lastobs;    n= lastobs;
   severity = vector(1,maxwav);    severity = vector(1,maxwav);
   outcome=imatrix(1,maxwav+1,1,n);    outcome=imatrix(1,maxwav+1,1,n);
   num=ivector(1,n);    num=lvector(1,n);
   moisnais=vector(1,n);    moisnais=vector(1,n);
   annais=vector(1,n);    annais=vector(1,n);
   moisdc=vector(1,n);    moisdc=vector(1,n);
Line 3701  int main(int argc, char *argv[]) Line 4486  int main(int argc, char *argv[])
   i=1;    i=1;
   while (fgets(line, MAXLINE, fic) != NULL)    {    while (fgets(line, MAXLINE, fic) != NULL)    {
     if ((i >= firstobs) && (i <=lastobs)) {      if ((i >= firstobs) && (i <=lastobs)) {
                 for(j=0; line[j] != '\n';j++){  /* Untabifies line */
           if(line[j] == '\t')
             line[j] = ' ';
         }
       for (j=maxwav;j>=1;j--){        for (j=maxwav;j>=1;j--){
         cutv(stra, strb,line,' '); s[j][i]=atoi(strb);           cutv(stra, strb,line,' '); s[j][i]=atoi(strb); 
         strcpy(line,stra);          strcpy(line,stra);
Line 3719  int main(int argc, char *argv[]) Line 4507  int main(int argc, char *argv[])
       for (j=ncovcol;j>=1;j--){        for (j=ncovcol;j>=1;j--){
         cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra);          cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra);
       }         } 
       num[i]=atol(stra);        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)){        /*if((s[2][i]==2) && (s[3][i]==-1)&&(s[4][i]==9)){
         printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]),weight[i], (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]),  (mint[2][i]), (anint[2][i]), (s[2][i]),  (mint[3][i]), (anint[3][i]), (s[3][i]),  (mint[4][i]), (anint[4][i]), (s[4][i])); ij=ij+1;}*/          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;        i=i+1;
     }      }
Line 3738  int main(int argc, char *argv[]) Line 4532  int main(int argc, char *argv[])
     }*/      }*/
    /*  for (i=1; i<=imx; i++){     /*  for (i=1; i<=imx; i++){
      if (s[4][i]==9)  s[4][i]=-1;        if (s[4][i]==9)  s[4][i]=-1; 
      printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]), (weight[i]), (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]),  (mint[2][i]), (anint[2][i]), (s[2][i]),  (mint[3][i]), (anint[3][i]), (s[3][i]),  (mint[4][i]), (anint[4][i]), (s[4][i]));}*/       printf("%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++)    /* for (i=1; i<=imx; i++) */
     
    /*if ((s[3][i]==3) ||  (s[4][i]==3)) weight[i]=0.08;     /*if ((s[3][i]==3) ||  (s[4][i]==3)) weight[i]=0.08;
      else weight[i]=1;*/       else weight[i]=1;*/
   
   /* Calculation of the number of parameter from char model*/    /* 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 */    Tvar=ivector(1,15); /* stores the number n of the covariates in Vm+Vn at 1 and m at 2 */
   Tprod=ivector(1,15);     Tprod=ivector(1,15); 
   Tvaraff=ivector(1,15);     Tvaraff=ivector(1,15); 
Line 3841  int main(int argc, char *argv[]) Line 4635  int main(int argc, char *argv[])
         s[m][i]=-1;          s[m][i]=-1;
       }        }
       if((int)moisdc[i]==99 && (int)andc[i]==9999 && s[m][i]>nlstate){        if((int)moisdc[i]==99 && (int)andc[i]==9999 && s[m][i]>nlstate){
         printf("Error! Date of death (month %2d and year %4d) of individual %d 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);          nberr++;
         fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %d 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);          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;          s[m][i]=-1;
       }        }
       if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){        if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){
         printf("Error! Month of death of individual %d 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]);           nberr++;
         fprintf(ficlog,"Error! Month of death of individual %d 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]);           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]); 
         s[m][i]=-1;          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 */
       }        }
     }      }
   }    }
Line 3856  int main(int argc, char *argv[]) Line 4652  int main(int argc, char *argv[])
   for (i=1; i<=imx; i++)  {    for (i=1; i<=imx; i++)  {
     agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);      agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);
     for(m=firstpass; (m<= lastpass); m++){      for(m=firstpass; (m<= lastpass); m++){
       if(s[m][i] >0){        if(s[m][i] >0 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5){
         if (s[m][i] >= nlstate+1) {          if (s[m][i] >= nlstate+1) {
           if(agedc[i]>0)            if(agedc[i]>0)
             if((int)moisdc[i]!=99 && (int)andc[i]!=9999)              if((int)moisdc[i]!=99 && (int)andc[i]!=9999)
Line 3864  int main(int argc, char *argv[]) Line 4660  int main(int argc, char *argv[])
           /*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/            /*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/
             else {              else {
               if ((int)andc[i]!=9999){                if ((int)andc[i]!=9999){
                 printf("Warning negative age at death: %d line:%d\n",num[i],i);                  nbwarn++;
                 fprintf(ficlog,"Warning negative age at death: %d line:%d\n",num[i],i);                  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;                  agev[m][i]=-1;
               }                }
             }              }
         }          }
         else if(s[m][i] !=9){ /* Standard case, age in fractional          else if(s[m][i] !=9){ /* Standard case, age in fractional
                                  years but with the precision of a                                   years but with the precision of a month */
                                  month */  
           agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);            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)            if((int)mint[m][i]==99 || (int)anint[m][i]==9999)
             agev[m][i]=1;              agev[m][i]=1;
Line 3900  int main(int argc, char *argv[]) Line 4696  int main(int argc, char *argv[])
   for (i=1; i<=imx; i++)  {    for (i=1; i<=imx; i++)  {
     for(m=firstpass; (m<=lastpass); m++){      for(m=firstpass; (m<=lastpass); m++){
       if (s[m][i] > (nlstate+ndeath)) {        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);               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);               fprintf(ficlog,"Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);     
         goto end;          goto end;
Line 3909  int main(int argc, char *argv[]) Line 4706  int main(int argc, char *argv[])
   
   /*for (i=1; i<=imx; i++){    /*for (i=1; i<=imx; i++){
   for (m=firstpass; (m<lastpass); m++){    for (m=firstpass; (m<lastpass); m++){
      printf("%d %d %.lf %d %d\n", num[i],(covar[1][i]),agev[m][i],s[m][i],s[m+1][i]);       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);    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);     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_vector(severity,1,maxwav);
   free_imatrix(outcome,1,maxwav+1,1,n);    free_imatrix(outcome,1,maxwav+1,1,n);
   free_vector(moisnais,1,n);    free_vector(moisnais,1,n);
Line 3968  int main(int argc, char *argv[]) Line 4767  int main(int argc, char *argv[])
      }       }
      scanf("%d",i);*/       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\
    - 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,\
             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    /* Calculates basic frequencies. Computes observed prevalence at single age
      and prints on file fileres'p'. */       and prints on file fileres'p'. */
     freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart);
   
     pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */    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 */      oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
     newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */      newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
     savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */      savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
Line 3982  int main(int argc, char *argv[]) Line 4843  int main(int argc, char *argv[])
      so we point p on param[1][1] so that p[1] maps on param[1][1][1] */       so we point p on param[1][1] so that p[1] maps on param[1][1][1] */
   p=param[1][1]; /* *(*(*(param +1)+1)+0) */    p=param[1][1]; /* *(*(*(param +1)+1)+0) */
   
   if(mle>=1){ /* Could be 1 or 2 */    globpr=0; /* To get the number ipmx of contributions and the sum of weights*/
     mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);    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 (j=1; j<=lastpass; j++)
           if (s[j][i]>nlstate) {
             dcwave[i]=j;
             /*    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;
           
           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]=0.1; p[2]=0.1;
       /*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);
           
   /*--------- results files --------------*/      hesscov(matcov, p, NDIM,delti, 1e-4, gompertz); 
   fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model);  
     
   
   jk=1;      for(i=1; i <=NDIM; i++)
   fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");        for(j=i+1;j<=NDIM;j++)
   printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");          matcov[i][j]=matcov[j][i];
   fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");      
   for(i=1,jk=1; i <=nlstate; i++){      printf("\nCovariance matrix\n ");
     for(k=1; k <=(nlstate+ndeath); k++){      for(i=1; i <=NDIM; i++) {
       if (k != 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);            printf("%d%d ",i,k);
           fprintf(ficlog,"%d%d ",i,k);            fprintf(ficlog,"%d%d ",i,k);
           fprintf(ficres,"%1d%1d ",i,k);            fprintf(ficres,"%1d%1d ",i,k);
Line 4011  int main(int argc, char *argv[]) Line 5000  int main(int argc, char *argv[])
           fprintf(ficlog,"\n");            fprintf(ficlog,"\n");
           fprintf(ficres,"\n");            fprintf(ficres,"\n");
         }          }
         }
     }      }
   }      if(mle!=0){
   if(mle==1){        /* Computing hessian and covariance matrix */
     /* Computing hessian and covariance matrix */        ftolhess=ftol; /* Usually correct */
     ftolhess=ftol; /* Usually correct */        hesscov(matcov, p, npar, delti, ftolhess, func);
     hesscov(matcov, p, npar, delti, ftolhess, func);      }
   }      fprintf(ficres,"# Scales (for hessian or gradient estimation)\n");
   fprintf(ficres,"# Scales (for hessian or gradient estimation)\n");      printf("# Scales (for hessian or gradient estimation)\n");
   printf("# Scales (for hessian or gradient estimation)\n");      fprintf(ficlog,"# 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(i=1,jk=1; i <=nlstate; i++){        for(j=1; j <=nlstate+ndeath; j++){
     for(j=1; j <=nlstate+ndeath; j++){          if (j!=i) {
       if (j!=i) {            fprintf(ficres,"%1d%1d",i,j);
         fprintf(ficres,"%1d%1d",i,j);            printf("%1d%1d",i,j);
         printf("%1d%1d",i,j);            fprintf(ficlog,"%1d%1d",i,j);
         fprintf(ficlog,"%1d%1d",i,j);            for(k=1; k<=ncovmodel;k++){
         for(k=1; k<=ncovmodel;k++){              printf(" %.5e",delti[jk]);
           printf(" %.5e",delti[jk]);              fprintf(ficlog," %.5e",delti[jk]);
           fprintf(ficlog," %.5e",delti[jk]);              fprintf(ficres," %.5e",delti[jk]);
           fprintf(ficres," %.5e",delti[jk]);              jk++;
           jk++;            }
             printf("\n");
             fprintf(ficlog,"\n");
             fprintf(ficres,"\n");
         }          }
         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");
   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)
   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");
     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");
   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\ */
   for(i=1,k=1;i<=npar;i++){      /* # 122 Cov(b12,a12) Var(b12)\n\ */
     /*  if (k>nlstate) k=1;      /* # 131 Cov(a13,a12) Cov(a13,b12, Var(a13)\n\ */
         i1=(i-1)/(ncovmodel*nlstate)+1;       /* # 132 Cov(b13,a12) Cov(b13,b12, Cov(b13,a13) Var(b13)\n\ */
         fprintf(ficres,"%s%d%d",alph[k],i1,tab[i]);      /* # 212 Cov(a21,a12) Cov(a21,b12, Cov(a21,a13) Cov(a21,b13) Var(a21)\n\ */
         printf("%s%d%d",alph[k],i1,tab[i]);      /* # 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
     */      */
     fprintf(ficres,"%3d",i);      for(itimes=1;itimes<=2;itimes++){
     if(mle==1)        jj=0;
       printf("%3d",i);        for(i=1; i <=nlstate; i++){
     fprintf(ficlog,"%3d",i);          for(j=1; j <=nlstate+ndeath; j++){
     for(j=1; j<=i;j++){            if(j==i) continue;
       fprintf(ficres," %.5e",matcov[i][j]);            for(k=1; k<=ncovmodel;k++){
       if(mle==1)              jj++;
         printf(" %.5e",matcov[i][j]);              ca[0]= k+'a'-1;ca[1]='\0';
       fprintf(ficlog," %.5e",matcov[i][j]);              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);
     }      }
     fprintf(ficres,"\n");  
     if(mle==1)  
       printf("\n");  
     fprintf(ficlog,"\n");  
     k++;  
   }  
      
   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);      ungetc(c,ficpar);
     fgets(line, MAXLINE, ficpar);      
     puts(line);      estepm=0;
     fputs(line,ficparo);      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;
   ungetc(c,ficpar);      if (fage <= 2) {
           bage = ageminpar;
   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);        fage = agemaxpar;
   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(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n");
   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);      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){      
       while((c=getc(ficpar))=='#' && c!= EOF){
         ungetc(c,ficpar);
         fgets(line, MAXLINE, ficpar);
         puts(line);
         fputs(line,ficparo);
       }
     ungetc(c,ficpar);      ungetc(c,ficpar);
     fgets(line, MAXLINE, ficpar);      
     puts(line);      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);
     fputs(line,ficparo);      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);
   ungetc(c,ficpar);      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);
       
   dateprev1=anprev1+(mprev1-1)/12.+(jprev1-1)/365.;      while((c=getc(ficpar))=='#' && c!= EOF){
   dateprev2=anprev2+(mprev2-1)/12.+(jprev2-1)/365.;        ungetc(c,ficpar);
         fgets(line, MAXLINE, ficpar);
   fscanf(ficpar,"pop_based=%d\n",&popbased);        puts(line);
   fprintf(ficparo,"pop_based=%d\n",popbased);           fputs(line,ficparo);
   fprintf(ficres,"pop_based=%d\n",popbased);         }
     
   while((c=getc(ficpar))=='#' && c!= EOF){  
     ungetc(c,ficpar);      ungetc(c,ficpar);
     fgets(line, MAXLINE, ficpar);      
     puts(line);      
     fputs(line,ficparo);      dateprev1=anprev1+(mprev1-1)/12.+(jprev1-1)/365.;
   }      dateprev2=anprev2+(mprev2-1)/12.+(jprev2-1)/365.;
   ungetc(c,ficpar);      
       fscanf(ficpar,"pop_based=%d\n",&popbased);
   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,"pop_based=%d\n",popbased);   
   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);      fprintf(ficres,"pop_based=%d\n",popbased);   
   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);      while((c=getc(ficpar))=='#' && c!= EOF){
   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);        ungetc(c,ficpar);
   /* day and month of proj2 are not used but only year anproj2.*/        fgets(line, MAXLINE, ficpar);
         puts(line);
   while((c=getc(ficpar))=='#' && c!= EOF){        fputs(line,ficparo);
       }
     ungetc(c,ficpar);      ungetc(c,ficpar);
     fgets(line, MAXLINE, ficpar);      
     puts(line);      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);
     fputs(line,ficparo);      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);
   ungetc(c,ficpar);      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);
   fscanf(ficpar,"popforecast=%d popfile=%s popfiledate=%lf/%lf/%lf last-popfiledate=%lf/%lf/%lf\n",&popforecast,popfile,&jpyram,&mpyram,&anpyram,&jpyram1,&mpyram1,&anpyram1);      /* day and month of proj2 are not used but only year anproj2.*/
   fprintf(ficparo,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);      
   fprintf(ficres,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);      
       
   probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);      /*  freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint);*/
   freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);      /*,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
       
   /*------------ gnuplot -------------*/      replace_back_to_slash(pathc,path); /* Even gnuplot wants a / */
   strcpy(optionfilegnuplot,optionfilefiname);      printinggnuplot(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);
   strcat(optionfilegnuplot,".gp");      
   if((ficgp=fopen(optionfilegnuplot,"w"))==NULL) {      printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,\
     printf("Problem with file %s",optionfilegnuplot);                   model,imx,jmin,jmax,jmean,rfileres,popforecast,estepm,\
   }                   jprev1,mprev1,anprev1,jprev2,mprev2,anprev2);
   else{        
     fprintf(ficgp,"\n# %s\n", version);      /*------------ free_vector  -------------*/
     fprintf(ficgp,"# %s\n", optionfilegnuplot);      /*  chdir(path); */
     fprintf(ficgp,"set missing 'NaNq'\n");  
   }  
   fclose(ficgp);  
   printinggnuplot(fileres, ageminpar,agemaxpar,fage, pathc,p);  
   /*--------- index.htm --------*/  
   
   strcpy(optionfilehtm,optionfile);  
   strcat(optionfilehtm,".htm");  
   if((fichtm=fopen(optionfilehtm,"w"))==NULL)    {  
     printf("Problem with %s \n",optionfilehtm), exit(0);  
   }  
   
   fprintf(fichtm,"<body> <font size=\"2\">%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  
 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  
 <hr  size=\"2\" color=\"#EC5E5E\">  
  <ul><li><h4>Parameter files</h4>\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></ul>\n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,agemin,agemax,jmin,jmax,jmean,fileres,fileres,filelog,filelog,optionfilegnuplot,optionfilegnuplot);  
    fclose(fichtm);  
   
   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_ivector(wav,1,imx);
   free_imatrix(dh,1,lastpass-firstpass+1,1,imx);      free_imatrix(dh,1,lastpass-firstpass+1,1,imx);
   free_imatrix(bh,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_imatrix(mw,1,lastpass-firstpass+1,1,imx);   
   free_ivector(num,1,n);      free_lvector(num,1,n);
   free_vector(agedc,1,n);      free_vector(agedc,1,n);
   /*free_matrix(covar,0,NCOVMAX,1,n);*/      /*free_matrix(covar,0,NCOVMAX,1,n);*/
   /*free_matrix(covar,1,NCOVMAX,1,n);*/      /*free_matrix(covar,1,NCOVMAX,1,n);*/
   fclose(ficparo);      fclose(ficparo);
   fclose(ficres);      fclose(ficres);
   
   
   /*--------------- Prevalence limit  (stable prevalence) --------------*/      /*--------------- Prevalence limit  (stable prevalence) --------------*/
       
   strcpy(filerespl,"pl");      strcpy(filerespl,"pl");
   strcat(filerespl,fileres);      strcat(filerespl,fileres);
   if((ficrespl=fopen(filerespl,"w"))==NULL) {      if((ficrespl=fopen(filerespl,"w"))==NULL) {
     printf("Problem with stable prevalence resultfile: %s\n", filerespl);goto end;        printf("Problem with stable prevalence resultfile: %s\n", filerespl);goto end;
     fprintf(ficlog,"Problem with stable prevalence resultfile: %s\n", filerespl);goto end;        fprintf(ficlog,"Problem with stable prevalence resultfile: %s\n", filerespl);goto end;
   }      }
   printf("Computing stable prevalence: result on file '%s' \n", filerespl);      printf("Computing stable prevalence: result on file '%s' \n", filerespl);
   fprintf(ficlog,"Computing stable prevalence: result on file '%s' \n", filerespl);      fprintf(ficlog,"Computing stable prevalence: result on file '%s' \n", filerespl);
   fprintf(ficrespl,"#Stable prevalence \n");      fprintf(ficrespl, "#Local time at start: %s", strstart);
   fprintf(ficrespl,"#Age ");      fprintf(ficrespl,"#Stable prevalence \n");
   for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);      fprintf(ficrespl,"#Age ");
   fprintf(ficrespl,"\n");      for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);
         fprintf(ficrespl,"\n");
   prlim=matrix(1,nlstate,1,nlstate);    
       prlim=matrix(1,nlstate,1,nlstate);
   agebase=ageminpar;  
   agelim=agemaxpar;      agebase=ageminpar;
   ftolpl=1.e-10;      agelim=agemaxpar;
   i1=cptcoveff;      ftolpl=1.e-10;
   if (cptcovn < 1){i1=1;}      i1=cptcoveff;
       if (cptcovn < 1){i1=1;}
   for(cptcov=1,k=0;cptcov<=i1;cptcov++){  
     for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){      for(cptcov=1,k=0;cptcov<=i1;cptcov++){
       k=k+1;        for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
       /*printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,Tcode[cptcode],codtab[cptcod][cptcov]);*/          k=k+1;
       fprintf(ficrespl,"\n#******");          /*printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,Tcode[cptcode],codtab[cptcod][cptcov]);*/
       printf("\n#******");          fprintf(ficrespl,"\n#******");
       fprintf(ficlog,"\n#******");          printf("\n#******");
       for(j=1;j<=cptcoveff;j++) {          fprintf(ficlog,"\n#******");
         fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);          for(j=1;j<=cptcoveff;j++) {
         printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);            fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
         fprintf(ficlog," 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(ficrespl,"******\n");
       fprintf(ficlog,"******\n");          printf("******\n");
           fprintf(ficlog,"******\n");
                   
       for (age=agebase; age<=agelim; age++){          for (age=agebase; age<=agelim; age++){
         prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);            prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
         fprintf(ficrespl,"%.0f ",age );            fprintf(ficrespl,"%.0f ",age );
         for(j=1;j<=cptcoveff;j++)            for(j=1;j<=cptcoveff;j++)
           fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);              fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
         for(i=1; i<=nlstate;i++)            for(i=1; i<=nlstate;i++)
           fprintf(ficrespl," %.5f", prlim[i][i]);              fprintf(ficrespl," %.5f", prlim[i][i]);
         fprintf(ficrespl,"\n");            fprintf(ficrespl,"\n");
           }
       }        }
     }      }
   }      fclose(ficrespl);
   fclose(ficrespl);  
   
   /*------------- h Pij x at various ages ------------*/      /*------------- h Pij x at various ages ------------*/
       
   strcpy(filerespij,"pij");  strcat(filerespij,fileres);      strcpy(filerespij,"pij");  strcat(filerespij,fileres);
   if((ficrespij=fopen(filerespij,"w"))==NULL) {      if((ficrespij=fopen(filerespij,"w"))==NULL) {
     printf("Problem with Pij resultfile: %s\n", filerespij);goto end;        printf("Problem with Pij resultfile: %s\n", filerespij);goto end;
     fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij);goto end;        fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij);goto end;
   }      }
   printf("Computing pij: result on file '%s' \n", filerespij);      printf("Computing pij: result on file '%s' \n", filerespij);
   fprintf(ficlog,"Computing pij: result on file '%s' \n", filerespij);      fprintf(ficlog,"Computing pij: result on file '%s' \n", filerespij);
       
   stepsize=(int) (stepm+YEARM-1)/YEARM;      stepsize=(int) (stepm+YEARM-1)/YEARM;
   /*if (stepm<=24) stepsize=2;*/      /*if (stepm<=24) stepsize=2;*/
   
   agelim=AGESUP;  
   hstepm=stepsize*YEARM; /* Every year of age */  
   hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */   
   
   /* hstepm=1;   aff par mois*/      agelim=AGESUP;
       hstepm=stepsize*YEARM; /* Every year of age */
       hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */ 
   
   fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x ");      /* hstepm=1;   aff par mois*/
   for(cptcov=1,k=0;cptcov<=i1;cptcov++){      fprintf(ficrespij, "#Local time at start: %s", strstart);
     for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){      fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x ");
       k=k+1;      for(cptcov=1,k=0;cptcov<=i1;cptcov++){
       fprintf(ficrespij,"\n#****** ");        for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
       for(j=1;j<=cptcoveff;j++)           k=k+1;
         fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);          fprintf(ficrespij,"\n#****** ");
       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 */          for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */
         nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */             nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ 
         nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */            nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
   
         /*        nhstepm=nhstepm*YEARM; aff par mois*/            /*      nhstepm=nhstepm*YEARM; aff par mois*/
   
         p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);            p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
         oldm=oldms;savm=savms;            oldm=oldms;savm=savms;
         hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);              hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
         fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j=");            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(i=1; i<=nlstate;i++)
             for(j=1; j<=nlstate+ndeath;j++)              for(j=1; j<=nlstate+ndeath;j++)
               fprintf(ficrespij," %.5f", p3mat[i][j][h]);                fprintf(ficrespij," %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");            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);  
   
   fclose(ficrespij);      varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart);
   
       fclose(ficrespij);
   
   /*---------- Forecasting ------------------*/      probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
   /*if((stepm == 1) && (strcmp(model,".")==0)){*/      for(i=1;i<=AGESUP;i++)
   if(prevfcast==1){        for(j=1;j<=NCOVMAX;j++)
     /*    if(stepm ==1){*/          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);        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);*/        /* (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);*/
 /*      }  */        /*      }  */
 /*      else{ */        /*      else{ */
 /*        erreur=108; */        /*        erreur=108; */
 /*        printf("Warning %d!! You can only forecast the prevalences if the optimization\n  has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */        /*        printf("Warning %d!! You can only forecast the prevalences if the optimization\n  has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */
 /*        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); */        /*        fprintf(ficlog,"Warning %d!! You can only forecast the prevalences if the optimization\n  has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */
 /*      } */        /*      } */
   }      }
       
   
   /*---------- Health expectancies and variances ------------*/      /*---------- Health expectancies and variances ------------*/
   
   strcpy(filerest,"t");      strcpy(filerest,"t");
   strcat(filerest,fileres);      strcat(filerest,fileres);
   if((ficrest=fopen(filerest,"w"))==NULL) {      if((ficrest=fopen(filerest,"w"))==NULL) {
     printf("Problem with total LE resultfile: %s\n", filerest);goto end;        printf("Problem with total LE resultfile: %s\n", filerest);goto end;
     fprintf(ficlog,"Problem with total LE resultfile: %s\n", filerest);goto end;        fprintf(ficlog,"Problem with total LE resultfile: %s\n", filerest);goto end;
   }      }
   printf("Computing Total LEs with variances: file '%s' \n", filerest);       printf("Computing Total LEs with variances: file '%s' \n", filerest); 
   fprintf(ficlog,"Computing Total LEs with variances: file '%s' \n", filerest);       fprintf(ficlog,"Computing Total LEs with variances: file '%s' \n", filerest); 
   
   
   strcpy(filerese,"e");      strcpy(filerese,"e");
   strcat(filerese,fileres);      strcat(filerese,fileres);
   if((ficreseij=fopen(filerese,"w"))==NULL) {      if((ficreseij=fopen(filerese,"w"))==NULL) {
     printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);        printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
     fprintf(ficlog,"Problem with Health Exp. resultfile: %s\n", filerese); exit(0);        fprintf(ficlog,"Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
   }      }
   printf("Computing Health Expectancies: result on file '%s' \n", filerese);      printf("Computing Health Expectancies: result on file '%s' \n", filerese);
   fprintf(ficlog,"Computing Health Expectancies: result on file '%s' \n", filerese);      fprintf(ficlog,"Computing Health Expectancies: result on file '%s' \n", filerese);
   
   strcpy(fileresv,"v");      strcpy(fileresv,"v");
   strcat(fileresv,fileres);      strcat(fileresv,fileres);
   if((ficresvij=fopen(fileresv,"w"))==NULL) {      if((ficresvij=fopen(fileresv,"w"))==NULL) {
     printf("Problem with variance resultfile: %s\n", fileresv);exit(0);        printf("Problem with variance resultfile: %s\n", fileresv);exit(0);
     fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0);        fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0);
   }      }
   printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);      printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
   fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);      fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
   
   /* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */      /* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */
   prevalence(agemin, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);      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",\      /*  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);          ageminpar, agemax, s[lastpass][imx], agev[lastpass][imx], nlstate, imx, mint[lastpass][imx],anint[lastpass][imx], dateprev1, dateprev2, firstpass, lastpass);
   */      */
   
   if (mobilav!=0) {      if (mobilav!=0) {
     mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);        mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
     if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){        if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){
       fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);          fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
       printf(" Error in movingaverage mobilav=%d\n",mobilav);          printf(" Error in movingaverage mobilav=%d\n",mobilav);
         }
     }      }
   }  
   
   for(cptcov=1,k=0;cptcov<=i1;cptcov++){      for(cptcov=1,k=0;cptcov<=i1;cptcov++){
     for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){        for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
       k=k+1;           k=k+1; 
       fprintf(ficrest,"\n#****** ");          fprintf(ficrest,"\n#****** ");
       for(j=1;j<=cptcoveff;j++)           for(j=1;j<=cptcoveff;j++) 
         fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);            fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
       fprintf(ficrest,"******\n");          fprintf(ficrest,"******\n");
   
       fprintf(ficreseij,"\n#****** ");          fprintf(ficreseij,"\n#****** ");
       for(j=1;j<=cptcoveff;j++)           for(j=1;j<=cptcoveff;j++) 
         fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);            fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
       fprintf(ficreseij,"******\n");          fprintf(ficreseij,"******\n");
   
       fprintf(ficresvij,"\n#****** ");          fprintf(ficresvij,"\n#****** ");
       for(j=1;j<=cptcoveff;j++)           for(j=1;j<=cptcoveff;j++) 
         fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);            fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
       fprintf(ficresvij,"******\n");          fprintf(ficresvij,"******\n");
   
       eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);  
       oldm=oldms;savm=savms;  
       evsij(fileres, eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov);    
    
       vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);  
       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);  
       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);  
       }  
   
           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, delti, matcov, strstart);  
     
       fprintf(ficrest,"#Total LEs with variances: e.. (std) ");          vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
       for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);          oldm=oldms;savm=savms;
       fprintf(ficrest,"\n");          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){
       epj=vector(1,nlstate+1);            varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,popbased,mobilav, strstart);
       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, "#Local time at start: %s", strstart);
           fprintf(ficrest,"#Total LEs with variances: 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);            fprintf(ficrest," %4.0f",age);
         for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){            for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){
           for(i=1, epj[j]=0.;i <=nlstate;i++) {              for(i=1, epj[j]=0.;i <=nlstate;i++) {
             epj[j] += prlim[i][i]*eij[i][j][(int)age];                epj[j] += prlim[i][i]*eij[i][j][(int)age];
             /*  printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]);*/                /*  printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]);*/
               }
               epj[nlstate+1] +=epj[j];
           }            }
           epj[nlstate+1] +=epj[j];  
         }  
   
         for(i=1, vepp=0.;i <=nlstate;i++)            for(i=1, vepp=0.;i <=nlstate;i++)
           for(j=1;j <=nlstate;j++)              for(j=1;j <=nlstate;j++)
             vepp += vareij[i][j][(int)age];                vepp += vareij[i][j][(int)age];
         fprintf(ficrest," %7.3f (%7.3f)", epj[nlstate+1],sqrt(vepp));            fprintf(ficrest," %7.3f (%7.3f)", epj[nlstate+1],sqrt(vepp));
         for(j=1;j <=nlstate;j++){            for(j=1;j <=nlstate;j++){
           fprintf(ficrest," %7.3f (%7.3f)", epj[j],sqrt(vareij[j][j][(int)age]));              fprintf(ficrest," %7.3f (%7.3f)", epj[j],sqrt(vareij[j][j][(int)age]));
             }
             fprintf(ficrest,"\n");
         }          }
         fprintf(ficrest,"\n");          free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
       }          free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);
       free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);          free_vector(epj,1,nlstate+1);
       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_vector(weight,1,n);      free_imatrix(s,1,maxwav+1,1,n);
   free_imatrix(Tvard,1,15,1,2);      free_matrix(anint,1,maxwav,1,n); 
   free_imatrix(s,1,maxwav+1,1,n);      free_matrix(mint,1,maxwav,1,n);
   free_matrix(anint,1,maxwav,1,n);       free_ivector(cod,1,n);
   free_matrix(mint,1,maxwav,1,n);      free_ivector(tab,1,NCOVMAX);
   free_ivector(cod,1,n);      fclose(ficreseij);
   free_ivector(tab,1,NCOVMAX);      fclose(ficresvij);
   fclose(ficreseij);      fclose(ficrest);
   fclose(ficresvij);      fclose(ficpar);
   fclose(ficrest);    
   fclose(ficpar);      /*------- Variance of stable prevalence------*/   
     
   /*------- Variance of stable prevalence------*/         strcpy(fileresvpl,"vpl");
       strcat(fileresvpl,fileres);
   strcpy(fileresvpl,"vpl");      if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {
   strcat(fileresvpl,fileres);        printf("Problem with variance of stable prevalence  resultfile: %s\n", fileresvpl);
   if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {        exit(0);
     printf("Problem with variance of stable prevalence  resultfile: %s\n", fileresvpl);      }
     exit(0);      printf("Computing Variance-covariance of stable prevalence: file '%s' \n", fileresvpl);
   }  
   printf("Computing Variance-covariance of stable prevalence: file '%s' \n", fileresvpl);      for(cptcov=1,k=0;cptcov<=i1;cptcov++){
         for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
   for(cptcov=1,k=0;cptcov<=i1;cptcov++){          k=k+1;
     for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){          fprintf(ficresvpl,"\n#****** ");
       k=k+1;          for(j=1;j<=cptcoveff;j++) 
       fprintf(ficresvpl,"\n#****** ");            fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
       for(j=1;j<=cptcoveff;j++)           fprintf(ficresvpl,"******\n");
         fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);  
       fprintf(ficresvpl,"******\n");  
               
       varpl=matrix(1,nlstate,(int) bage, (int) fage);          varpl=matrix(1,nlstate,(int) bage, (int) fage);
       oldm=oldms;savm=savms;          oldm=oldms;savm=savms;
       varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k);          varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k,strstart);
       free_matrix(varpl,1,nlstate,(int) bage, (int)fage);          free_matrix(varpl,1,nlstate,(int) bage, (int)fage);
         }
     }      }
   }  
   
   fclose(ficresvpl);      fclose(ficresvpl);
   
   /*---------- End : free ----------------*/      /*---------- End : free ----------------*/
   free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);      if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
   free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);      free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
   free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);  
   free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);    }  /* mle==-3 arrives here for freeing */
         free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);
   free_matrix(covar,0,NCOVMAX,1,n);      free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);
   free_matrix(matcov,1,npar,1,npar);      free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);
   /*free_vector(delti,1,npar);*/      free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);
   free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);     
   free_matrix(agev,1,maxwav,1,imx);      free_matrix(covar,0,NCOVMAX,1,n);
   free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);      free_matrix(matcov,1,npar,1,npar);
   if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);      /*free_vector(delti,1,npar);*/
   free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);      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);
   
   
     fflush(fichtm);
     fflush(ficgp);
     
   
   free_ivector(ncodemax,1,8);    if((nberr >0) || (nbwarn>0)){
   free_ivector(Tvar,1,15);      printf("End of Imach with %d errors and/or %d warnings\n",nberr,nbwarn);
   free_ivector(Tprod,1,15);      fprintf(ficlog,"End of Imach with %d errors and/or warnings %d\n",nberr,nbwarn);
   free_ivector(Tvaraff,1,15);  
   free_ivector(Tage,1,15);  
   free_ivector(Tcode,1,100);  
   
   /*  fclose(fichtm);*/  
   /*  fclose(ficgp);*/ /* ALready done */  
     
   
   if(erreur >0){  
     printf("End of Imach with error or warning %d\n",erreur);  
     fprintf(ficlog,"End of Imach with error or warning %d\n",erreur);  
   }else{    }else{
    printf("End of Imach\n");      printf("End of Imach\n");
    fprintf(ficlog,"End of Imach\n");      fprintf(ficlog,"End of Imach\n");
   }    }
   printf("See log file on %s\n",filelog);    printf("See log file on %s\n",filelog);
   fclose(ficlog);  
   /*  gettimeofday(&end_time, (struct timezone*)0);*/  /* after time */    /*  gettimeofday(&end_time, (struct timezone*)0);*/  /* after time */
       (void) gettimeofday(&end_time,&tzp);
   /* 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);*/    tm = *localtime(&end_time.tv_sec);
   /*printf("Total time was %d uSec.\n", total_usecs);*/    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 -----------*/    /*------ End -----------*/
   
   end:    chdir(path);
 #ifdef windows  #ifndef UNIX
   /* chdir(pathcd);*/    /*  strcpy(plotcmd,"\""); */
 #endif   #endif
  /*system("wgnuplot graph.plt");*/    strcpy(plotcmd,pathimach);
  /*system("../gp37mgw/wgnuplot graph.plt");*/    /*strcat(plotcmd,CHARSEPARATOR);*/
  /*system("cd ../gp37mgw");*/    strcat(plotcmd,GNUPLOTPROGRAM);
  /* system("..\\gp37mgw\\wgnuplot graph.plt");*/  #ifndef UNIX
   strcpy(plotcmd,GNUPLOTPROGRAM);    strcat(plotcmd,".exe");
     /*  strcat(plotcmd,"\"");*/
   #endif
     if(stat(plotcmd,&info)){
       printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);
     }
   
   #ifndef UNIX
     strcpy(plotcmd,"\"");
   #endif
     strcat(plotcmd,pathimach);
     strcat(plotcmd,GNUPLOTPROGRAM);
   #ifndef UNIX
     strcat(plotcmd,".exe");
     strcat(plotcmd,"\"");
   #endif
   strcat(plotcmd," ");    strcat(plotcmd," ");
   strcat(plotcmd,optionfilegnuplot);    strcat(plotcmd,optionfilegnuplot);
   printf("Starting graphs with: %s",plotcmd);fflush(stdout);    printf("Starting graphs with: %s",plotcmd);fflush(stdout);
   system(plotcmd);  
   printf(" Wait...");  
   
  /*#ifdef windows*/    if((outcmd=system(plotcmd)) != 0){
       printf("\n Problem with gnuplot\n");
     }
     printf(" Wait...");
   while (z[0] != 'q') {    while (z[0] != 'q') {
     /* chdir(path); */      /* chdir(path); */
     printf("\nType e to edit output files, g to graph again, c to start again, and q for exiting: ");      printf("\nType e to edit output files, g to graph again and q for exiting: ");
     scanf("%s",z);      scanf("%s",z);
     if (z[0] == 'c') system("./imach");  /*     if (z[0] == 'c') system("./imach"); */
     else if (z[0] == 'e') system(optionfilehtm);      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] == 'g') system(plotcmd);
     else if (z[0] == 'q') exit(0);      else if (z[0] == 'q') exit(0);
   }    }
   /*#endif */    end:
     while (z[0] != 'q') {
       printf("\nType  q for exiting: ");
       scanf("%s",z);
     }
 }  }
   
   
   

Removed from v.1.81  
changed lines
  Added in v.1.108


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