--- imach/src/imach.c	2002/05/24 16:34:18	1.45
+++ imach/src/imach.c	2014/06/20 16:45:46	1.153
@@ -1,3578 +1,6714 @@
-/* $Id: imach.c,v 1.45 2002/05/24 16:34:18 lievre Exp $
-   Interpolated Markov Chain
-
-  Short summary of the programme:
-  
-  This program computes Healthy Life Expectancies from
-  cross-longitudinal data. Cross-longitudinal data consist in: -1- a
-  first survey ("cross") where individuals from different ages are
-  interviewed on their health status or degree of disability (in the
-  case of a health survey which is our main interest) -2- at least a
-  second wave of interviews ("longitudinal") which measure each change
-  (if any) in individual health status.  Health expectancies are
-  computed from the time spent in each health state according to a
-  model. More health states you consider, more time is necessary to reach the
-  Maximum Likelihood of the parameters involved in the model.  The
-  simplest model is the multinomial logistic model where pij is the
-  probability to be observed in state j at the second wave
-  conditional to be observed in state i at the first wave. Therefore
-  the model is: log(pij/pii)= aij + bij*age+ cij*sex + etc , where
-  'age' is age and 'sex' is a covariate. If you want to have a more
-  complex model than "constant and age", you should modify the program
-  where the markup *Covariates have to be included here again* invites
-  you to do it.  More covariates you add, slower the
-  convergence.
-
-  The advantage of this computer programme, compared to a simple
-  multinomial logistic model, is clear when the delay between waves is not
-  identical for each individual. Also, if a individual missed an
-  intermediate interview, the information is lost, but taken into
-  account using an interpolation or extrapolation.  
-
-  hPijx is the probability to be observed in state i at age x+h
-  conditional to the observed state i at age x. The delay 'h' can be
-  split into an exact number (nh*stepm) of unobserved intermediate
-  states. This elementary transition (by month or quarter trimester,
-  semester or year) is model as a multinomial logistic.  The hPx
-  matrix is simply the matrix product of nh*stepm elementary matrices
-  and the contribution of each individual to the likelihood is simply
-  hPijx.
-
-  Also this programme outputs the covariance matrix of the parameters but also
-  of the life expectancies. It also computes the prevalence limits. 
-  
-  Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr).
-           Institut national d'études démographiques, Paris.
-  This software have been partly granted by Euro-REVES, a concerted action
-  from the European Union.
-  It is copyrighted identically to a GNU software product, ie programme and
-  software can be distributed freely for non commercial use. Latest version
-  can be accessed at http://euroreves.ined.fr/imach .
-  **********************************************************************/
- 
-#include <math.h>
-#include <stdio.h>
-#include <stdlib.h>
-#include <unistd.h>
-
-#define MAXLINE 256
-#define GNUPLOTPROGRAM "gnuplot"
-/*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/
-#define FILENAMELENGTH 80
-/*#define DEBUG*/
-#define windows
-#define	GLOCK_ERROR_NOPATH		-1	/* empty path */
-#define	GLOCK_ERROR_GETCWD		-2	/* cannot get cwd */
-
-#define MAXPARM 30 /* Maximum number of parameters for the optimization */
-#define NPARMAX 64 /* (nlstate+ndeath-1)*nlstate*ncovmodel */
-
-#define NINTERVMAX 8
-#define NLSTATEMAX 8 /* Maximum number of live states (for func) */
-#define NDEATHMAX 8 /* Maximum number of dead states (for func) */
-#define NCOVMAX 8 /* Maximum number of covariates */
-#define MAXN 20000
-#define YEARM 12. /* Number of months per year */
-#define AGESUP 130
-#define AGEBASE 40
-
-
-int erreur; /* Error number */
-int nvar;
-int cptcovn, cptcovage=0, cptcoveff=0,cptcov;
-int npar=NPARMAX;
-int nlstate=2; /* Number of live states */
-int ndeath=1; /* Number of dead states */
-int ncovmodel, ncovcol;     /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */
-int popbased=0;
-
-int *wav; /* Number of waves for this individuual 0 is possible */
-int maxwav; /* Maxim number of waves */
-int jmin, jmax; /* min, max spacing between 2 waves */
-int mle, weightopt;
-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 */
-double jmean; /* Mean space between 2 waves */
-double **oldm, **newm, **savm; /* Working pointers to matrices */
-double **oldms, **newms, **savms; /* Fixed working pointers to matrices */
-FILE *fic,*ficpar, *ficparo,*ficres,  *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop;
-FILE *ficgp,*ficresprob,*ficpop;
-FILE *ficreseij;
-  char filerese[FILENAMELENGTH];
- FILE  *ficresvij;
-  char fileresv[FILENAMELENGTH];
- FILE  *ficresvpl;
-  char fileresvpl[FILENAMELENGTH];
-
-#define NR_END 1
-#define FREE_ARG char*
-#define FTOL 1.0e-10
-
-#define NRANSI 
-#define ITMAX 200 
-
-#define TOL 2.0e-4 
-
-#define CGOLD 0.3819660 
-#define ZEPS 1.0e-10 
-#define SHFT(a,b,c,d) (a)=(b);(b)=(c);(c)=(d); 
-
-#define GOLD 1.618034 
-#define GLIMIT 100.0 
-#define TINY 1.0e-20 
-
-static double maxarg1,maxarg2;
-#define FMAX(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)>(maxarg2)? (maxarg1):(maxarg2))
-#define FMIN(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)<(maxarg2)? (maxarg1):(maxarg2))
-  
-#define SIGN(a,b) ((b)>0.0 ? fabs(a) : -fabs(a))
-#define rint(a) floor(a+0.5)
-
-static double sqrarg;
-#define SQR(a) ((sqrarg=(a)) == 0.0 ? 0.0 :sqrarg*sqrarg)
-#define SWAP(a,b) {temp=(a);(a)=(b);(b)=temp;} 
-
-int imx; 
-int stepm;
-/* Stepm, step in month: minimum step interpolation*/
-
-int estepm;
-/* Estepm, step in month to interpolate survival function in order to approximate Life Expectancy*/
-
-int m,nb;
-int *num, firstpass=0, lastpass=4,*cod, *ncodemax, *Tage;
-double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint;
-double **pmmij, ***probs, ***mobaverage;
-double dateintmean=0;
-
-double *weight;
-int **s; /* Status */
-double *agedc, **covar, idx;
-int **nbcode, *Tcode, *Tvar, **codtab, **Tvard, *Tprod, cptcovprod, *Tvaraff;
-
-double ftol=FTOL; /* Tolerance for computing Max Likelihood */
-double ftolhess; /* Tolerance for computing hessian */
-
-/**************** split *************************/
-static	int split( char *path, char *dirc, char *name, char *ext, char *finame )
-{
-   char	*s;				/* pointer */
-   int	l1, l2;				/* length counters */
-
-   l1 = strlen( path );			/* length of path */
-   if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH );
-#ifdef windows
-   s = strrchr( path, '\\' );		/* find last / */
-#else
-   s = strrchr( path, '/' );		/* find last / */
-#endif
-   if ( s == NULL ) {			/* no directory, so use current */
-#if	defined(__bsd__)		/* get current working directory */
-      extern char	*getwd( );
-
-      if ( getwd( dirc ) == NULL ) {
-#else
-      extern char	*getcwd( );
-
-      if ( getcwd( dirc, FILENAME_MAX ) == NULL ) {
-#endif
-         return( GLOCK_ERROR_GETCWD );
-      }
-      strcpy( name, path );		/* we've got it */
-   } else {				/* strip direcotry from path */
-      s++;				/* after this, the filename */
-      l2 = strlen( s );			/* length of filename */
-      if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH );
-      strcpy( name, s );		/* save file name */
-      strncpy( dirc, path, l1 - l2 );	/* now the directory */
-      dirc[l1-l2] = 0;			/* add zero */
-   }
-   l1 = strlen( dirc );			/* length of directory */
-#ifdef windows
-   if ( dirc[l1-1] != '\\' ) { dirc[l1] = '\\'; dirc[l1+1] = 0; }
-#else
-   if ( dirc[l1-1] != '/' ) { dirc[l1] = '/'; dirc[l1+1] = 0; }
-#endif
-   s = strrchr( name, '.' );		/* find last / */
-   s++;
-   strcpy(ext,s);			/* save extension */
-   l1= strlen( name);
-   l2= strlen( s)+1;
-   strncpy( finame, name, l1-l2);
-   finame[l1-l2]= 0;
-   return( 0 );				/* we're done */
-}
-
-
-/******************************************/
-
-void replace(char *s, char*t)
-{
-  int i;
-  int lg=20;
-  i=0;
-  lg=strlen(t);
-  for(i=0; i<= lg; i++) {
-    (s[i] = t[i]);
-    if (t[i]== '\\') s[i]='/';
-  }
-}
-
-int nbocc(char *s, char occ)
-{
-  int i,j=0;
-  int lg=20;
-  i=0;
-  lg=strlen(s);
-  for(i=0; i<= lg; i++) {
-  if  (s[i] == occ ) j++;
-  }
-  return j;
-}
-
-void cutv(char *u,char *v, char*t, char occ)
-{
-  int i,lg,j,p=0;
-  i=0;
-  for(j=0; j<=strlen(t)-1; j++) {
-    if((t[j]!= occ) && (t[j+1]== occ)) p=j+1;
-  }
-
-  lg=strlen(t);
-  for(j=0; j<p; j++) {
-    (u[j] = t[j]);
-  }
-     u[p]='\0';
-
-   for(j=0; j<= lg; j++) {
-    if (j>=(p+1))(v[j-p-1] = t[j]);
-  }
-}
-
-/********************** nrerror ********************/
-
-void nrerror(char error_text[])
-{
-  fprintf(stderr,"ERREUR ...\n");
-  fprintf(stderr,"%s\n",error_text);
-  exit(1);
-}
-/*********************** vector *******************/
-double *vector(int nl, int nh)
-{
-  double *v;
-  v=(double *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(double)));
-  if (!v) nrerror("allocation failure in vector");
-  return v-nl+NR_END;
-}
-
-/************************ free vector ******************/
-void free_vector(double*v, int nl, int nh)
-{
-  free((FREE_ARG)(v+nl-NR_END));
-}
-
-/************************ivector *******************************/
-int *ivector(long nl,long nh)
-{
-  int *v;
-  v=(int *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(int)));
-  if (!v) nrerror("allocation failure in ivector");
-  return v-nl+NR_END;
-}
-
-/******************free ivector **************************/
-void free_ivector(int *v, long nl, long nh)
-{
-  free((FREE_ARG)(v+nl-NR_END));
-}
-
-/******************* imatrix *******************************/
-int **imatrix(long nrl, long nrh, long ncl, long nch) 
-     /* allocate a int matrix with subscript range m[nrl..nrh][ncl..nch] */ 
-{ 
-  long i, nrow=nrh-nrl+1,ncol=nch-ncl+1; 
-  int **m; 
-  
-  /* allocate pointers to rows */ 
-  m=(int **) malloc((size_t)((nrow+NR_END)*sizeof(int*))); 
-  if (!m) nrerror("allocation failure 1 in matrix()"); 
-  m += NR_END; 
-  m -= nrl; 
-  
-  
-  /* allocate rows and set pointers to them */ 
-  m[nrl]=(int *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(int))); 
-  if (!m[nrl]) nrerror("allocation failure 2 in matrix()"); 
-  m[nrl] += NR_END; 
-  m[nrl] -= ncl; 
-  
-  for(i=nrl+1;i<=nrh;i++) m[i]=m[i-1]+ncol; 
-  
-  /* return pointer to array of pointers to rows */ 
-  return m; 
-} 
-
-/****************** free_imatrix *************************/
-void free_imatrix(m,nrl,nrh,ncl,nch)
-      int **m;
-      long nch,ncl,nrh,nrl; 
-     /* free an int matrix allocated by imatrix() */ 
-{ 
-  free((FREE_ARG) (m[nrl]+ncl-NR_END)); 
-  free((FREE_ARG) (m+nrl-NR_END)); 
-} 
-
-/******************* matrix *******************************/
-double **matrix(long nrl, long nrh, long ncl, long nch)
-{
-  long i, nrow=nrh-nrl+1, ncol=nch-ncl+1;
-  double **m;
-
-  m=(double **) malloc((size_t)((nrow+NR_END)*sizeof(double*)));
-  if (!m) nrerror("allocation failure 1 in matrix()");
-  m += NR_END;
-  m -= nrl;
-
-  m[nrl]=(double *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double)));
-  if (!m[nrl]) nrerror("allocation failure 2 in matrix()");
-  m[nrl] += NR_END;
-  m[nrl] -= ncl;
-
-  for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
-  return m;
-}
-
-/*************************free matrix ************************/
-void free_matrix(double **m, long nrl, long nrh, long ncl, long nch)
-{
-  free((FREE_ARG)(m[nrl]+ncl-NR_END));
-  free((FREE_ARG)(m+nrl-NR_END));
-}
-
-/******************* ma3x *******************************/
-double ***ma3x(long nrl, long nrh, long ncl, long nch, long nll, long nlh)
-{
-  long i, j, nrow=nrh-nrl+1, ncol=nch-ncl+1, nlay=nlh-nll+1;
-  double ***m;
-
-  m=(double ***) malloc((size_t)((nrow+NR_END)*sizeof(double*)));
-  if (!m) nrerror("allocation failure 1 in matrix()");
-  m += NR_END;
-  m -= nrl;
-
-  m[nrl]=(double **) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double)));
-  if (!m[nrl]) nrerror("allocation failure 2 in matrix()");
-  m[nrl] += NR_END;
-  m[nrl] -= ncl;
-
-  for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
-
-  m[nrl][ncl]=(double *) malloc((size_t)((nrow*ncol*nlay+NR_END)*sizeof(double)));
-  if (!m[nrl][ncl]) nrerror("allocation failure 3 in matrix()");
-  m[nrl][ncl] += NR_END;
-  m[nrl][ncl] -= nll;
-  for (j=ncl+1; j<=nch; j++) 
-    m[nrl][j]=m[nrl][j-1]+nlay;
-  
-  for (i=nrl+1; i<=nrh; i++) {
-    m[i][ncl]=m[i-1l][ncl]+ncol*nlay;
-    for (j=ncl+1; j<=nch; j++) 
-      m[i][j]=m[i][j-1]+nlay;
-  }
-  return m;
-}
-
-/*************************free ma3x ************************/
-void free_ma3x(double ***m, long nrl, long nrh, long ncl, long nch,long nll, long nlh)
-{
-  free((FREE_ARG)(m[nrl][ncl]+ nll-NR_END));
-  free((FREE_ARG)(m[nrl]+ncl-NR_END));
-  free((FREE_ARG)(m+nrl-NR_END));
-}
-
-/***************** f1dim *************************/
-extern int ncom; 
-extern double *pcom,*xicom;
-extern double (*nrfunc)(double []); 
- 
-double f1dim(double x) 
-{ 
-  int j; 
-  double f;
-  double *xt; 
- 
-  xt=vector(1,ncom); 
-  for (j=1;j<=ncom;j++) xt[j]=pcom[j]+x*xicom[j]; 
-  f=(*nrfunc)(xt); 
-  free_vector(xt,1,ncom); 
-  return f; 
-} 
-
-/*****************brent *************************/
-double brent(double ax, double bx, double cx, double (*f)(double), double tol, 	double *xmin) 
-{ 
-  int iter; 
-  double a,b,d,etemp;
-  double fu,fv,fw,fx;
-  double ftemp;
-  double p,q,r,tol1,tol2,u,v,w,x,xm; 
-  double e=0.0; 
- 
-  a=(ax < cx ? ax : cx); 
-  b=(ax > cx ? ax : cx); 
-  x=w=v=bx; 
-  fw=fv=fx=(*f)(x); 
-  for (iter=1;iter<=ITMAX;iter++) { 
-    xm=0.5*(a+b); 
-    tol2=2.0*(tol1=tol*fabs(x)+ZEPS); 
-    /*		if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret)))*/
-    printf(".");fflush(stdout);
-#ifdef DEBUG
-    printf("br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);
-    /*		if ((fabs(x-xm) <= (tol2-0.5*(b-a)))||(2.0*fabs(fu-ftemp) <= ftol*1.e-2*(fabs(fu)+fabs(ftemp)))) { */
-#endif
-    if (fabs(x-xm) <= (tol2-0.5*(b-a))){ 
-      *xmin=x; 
-      return fx; 
-    } 
-    ftemp=fu;
-    if (fabs(e) > tol1) { 
-      r=(x-w)*(fx-fv); 
-      q=(x-v)*(fx-fw); 
-      p=(x-v)*q-(x-w)*r; 
-      q=2.0*(q-r); 
-      if (q > 0.0) p = -p; 
-      q=fabs(q); 
-      etemp=e; 
-      e=d; 
-      if (fabs(p) >= fabs(0.5*q*etemp) || p <= q*(a-x) || p >= q*(b-x)) 
-	d=CGOLD*(e=(x >= xm ? a-x : b-x)); 
-      else { 
-	d=p/q; 
-	u=x+d; 
-	if (u-a < tol2 || b-u < tol2) 
-	  d=SIGN(tol1,xm-x); 
-      } 
-    } else { 
-      d=CGOLD*(e=(x >= xm ? a-x : b-x)); 
-    } 
-    u=(fabs(d) >= tol1 ? x+d : x+SIGN(tol1,d)); 
-    fu=(*f)(u); 
-    if (fu <= fx) { 
-      if (u >= x) a=x; else b=x; 
-      SHFT(v,w,x,u) 
-	SHFT(fv,fw,fx,fu) 
-	} else { 
-	  if (u < x) a=u; else b=u; 
-	  if (fu <= fw || w == x) { 
-	    v=w; 
-	    w=u; 
-	    fv=fw; 
-	    fw=fu; 
-	  } else if (fu <= fv || v == x || v == w) { 
-	    v=u; 
-	    fv=fu; 
-	  } 
-	} 
-  } 
-  nrerror("Too many iterations in brent"); 
-  *xmin=x; 
-  return fx; 
-} 
-
-/****************** mnbrak ***********************/
-
-void mnbrak(double *ax, double *bx, double *cx, double *fa, double *fb, double *fc, 
-	    double (*func)(double)) 
-{ 
-  double ulim,u,r,q, dum;
-  double fu; 
- 
-  *fa=(*func)(*ax); 
-  *fb=(*func)(*bx); 
-  if (*fb > *fa) { 
-    SHFT(dum,*ax,*bx,dum) 
-      SHFT(dum,*fb,*fa,dum) 
-      } 
-  *cx=(*bx)+GOLD*(*bx-*ax); 
-  *fc=(*func)(*cx); 
-  while (*fb > *fc) { 
-    r=(*bx-*ax)*(*fb-*fc); 
-    q=(*bx-*cx)*(*fb-*fa); 
-    u=(*bx)-((*bx-*cx)*q-(*bx-*ax)*r)/ 
-      (2.0*SIGN(FMAX(fabs(q-r),TINY),q-r)); 
-    ulim=(*bx)+GLIMIT*(*cx-*bx); 
-    if ((*bx-u)*(u-*cx) > 0.0) { 
-      fu=(*func)(u); 
-    } else if ((*cx-u)*(u-ulim) > 0.0) { 
-      fu=(*func)(u); 
-      if (fu < *fc) { 
-	SHFT(*bx,*cx,u,*cx+GOLD*(*cx-*bx)) 
-	  SHFT(*fb,*fc,fu,(*func)(u)) 
-	  } 
-    } else if ((u-ulim)*(ulim-*cx) >= 0.0) { 
-      u=ulim; 
-      fu=(*func)(u); 
-    } else { 
-      u=(*cx)+GOLD*(*cx-*bx); 
-      fu=(*func)(u); 
-    } 
-    SHFT(*ax,*bx,*cx,u) 
-      SHFT(*fa,*fb,*fc,fu) 
-      } 
-} 
-
-/*************** linmin ************************/
-
-int ncom; 
-double *pcom,*xicom;
-double (*nrfunc)(double []); 
- 
-void linmin(double p[], double xi[], int n, double *fret,double (*func)(double [])) 
-{ 
-  double brent(double ax, double bx, double cx, 
-	       double (*f)(double), double tol, double *xmin); 
-  double f1dim(double x); 
-  void mnbrak(double *ax, double *bx, double *cx, double *fa, double *fb, 
-	      double *fc, double (*func)(double)); 
-  int j; 
-  double xx,xmin,bx,ax; 
-  double fx,fb,fa;
- 
-  ncom=n; 
-  pcom=vector(1,n); 
-  xicom=vector(1,n); 
-  nrfunc=func; 
-  for (j=1;j<=n;j++) { 
-    pcom[j]=p[j]; 
-    xicom[j]=xi[j]; 
-  } 
-  ax=0.0; 
-  xx=1.0; 
-  mnbrak(&ax,&xx,&bx,&fa,&fx,&fb,f1dim); 
-  *fret=brent(ax,xx,bx,f1dim,TOL,&xmin); 
-#ifdef DEBUG
-  printf("retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);
-#endif
-  for (j=1;j<=n;j++) { 
-    xi[j] *= xmin; 
-    p[j] += xi[j]; 
-  } 
-  free_vector(xicom,1,n); 
-  free_vector(pcom,1,n); 
-} 
-
-/*************** powell ************************/
-void powell(double p[], double **xi, int n, double ftol, int *iter, double *fret, 
-	    double (*func)(double [])) 
-{ 
-  void linmin(double p[], double xi[], int n, double *fret, 
-	      double (*func)(double [])); 
-  int i,ibig,j; 
-  double del,t,*pt,*ptt,*xit;
-  double fp,fptt;
-  double *xits;
-  pt=vector(1,n); 
-  ptt=vector(1,n); 
-  xit=vector(1,n); 
-  xits=vector(1,n); 
-  *fret=(*func)(p); 
-  for (j=1;j<=n;j++) pt[j]=p[j]; 
-  for (*iter=1;;++(*iter)) { 
-    fp=(*fret); 
-    ibig=0; 
-    del=0.0; 
-    printf("\nPowell iter=%d -2*LL=%.12f",*iter,*fret);
-    for (i=1;i<=n;i++) 
-      printf(" %d %.12f",i, p[i]);
-    printf("\n");
-    for (i=1;i<=n;i++) { 
-      for (j=1;j<=n;j++) xit[j]=xi[j][i]; 
-      fptt=(*fret); 
-#ifdef DEBUG
-      printf("fret=%lf \n",*fret);
-#endif
-      printf("%d",i);fflush(stdout);
-      linmin(p,xit,n,fret,func); 
-      if (fabs(fptt-(*fret)) > del) { 
-	del=fabs(fptt-(*fret)); 
-	ibig=i; 
-      } 
-#ifdef DEBUG
-      printf("%d %.12e",i,(*fret));
-      for (j=1;j<=n;j++) {
-	xits[j]=FMAX(fabs(p[j]-pt[j]),1.e-5);
-	printf(" x(%d)=%.12e",j,xit[j]);
-      }
-      for(j=1;j<=n;j++) 
-	printf(" p=%.12e",p[j]);
-      printf("\n");
-#endif
-    } 
-    if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) {
-#ifdef DEBUG
-      int k[2],l;
-      k[0]=1;
-      k[1]=-1;
-      printf("Max: %.12e",(*func)(p));
-      for (j=1;j<=n;j++) 
-	printf(" %.12e",p[j]);
-      printf("\n");
-      for(l=0;l<=1;l++) {
-	for (j=1;j<=n;j++) {
-	  ptt[j]=p[j]+(p[j]-pt[j])*k[l];
-	  printf("l=%d j=%d ptt=%.12e, xits=%.12e, p=%.12e, xit=%.12e", l,j,ptt[j],xits[j],p[j],xit[j]);
-	}
-	printf("func(ptt)=%.12e, deriv=%.12e\n",(*func)(ptt),(ptt[j]-p[j])/((*func)(ptt)-(*func)(p)));
-      }
-#endif
-
-
-      free_vector(xit,1,n); 
-      free_vector(xits,1,n); 
-      free_vector(ptt,1,n); 
-      free_vector(pt,1,n); 
-      return; 
-    } 
-    if (*iter == ITMAX) nrerror("powell exceeding maximum iterations."); 
-    for (j=1;j<=n;j++) { 
-      ptt[j]=2.0*p[j]-pt[j]; 
-      xit[j]=p[j]-pt[j]; 
-      pt[j]=p[j]; 
-    } 
-    fptt=(*func)(ptt); 
-    if (fptt < fp) { 
-      t=2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del)-del*SQR(fp-fptt); 
-      if (t < 0.0) { 
-	linmin(p,xit,n,fret,func); 
-	for (j=1;j<=n;j++) { 
-	  xi[j][ibig]=xi[j][n]; 
-	  xi[j][n]=xit[j]; 
-	}
-#ifdef DEBUG
-	printf("Direction changed  last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
-	for(j=1;j<=n;j++)
-	  printf(" %.12e",xit[j]);
-	printf("\n");
-#endif
-      } 
-    } 
-  } 
-} 
-
-/**** Prevalence limit ****************/
-
-double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int ij)
-{
-  /* Computes the prevalence limit in each live state at age x by left multiplying the unit
-     matrix by transitions matrix until convergence is reached */
-
-  int i, ii,j,k;
-  double min, max, maxmin, maxmax,sumnew=0.;
-  double **matprod2();
-  double **out, cov[NCOVMAX], **pmij();
-  double **newm;
-  double agefin, delaymax=50 ; /* Max number of years to converge */
-
-  for (ii=1;ii<=nlstate+ndeath;ii++)
-    for (j=1;j<=nlstate+ndeath;j++){
-      oldm[ii][j]=(ii==j ? 1.0 : 0.0);
-    }
-
-   cov[1]=1.;
- 
- /* Even if hstepm = 1, at least one multiplication by the unit matrix */
-  for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){
-    newm=savm;
-    /* Covariates have to be included here again */
-     cov[2]=agefin;
-  
-      for (k=1; k<=cptcovn;k++) {
-	cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];
-	/*	printf("ij=%d k=%d Tvar[k]=%d nbcode=%d cov=%lf codtab[ij][Tvar[k]]=%d \n",ij,k, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k], codtab[ij][Tvar[k]]);*/
-      }
-      for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
-      for (k=1; k<=cptcovprod;k++)
-	cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];
-
-      /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/
-      /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/
-      /*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/
-    out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);
-
-    savm=oldm;
-    oldm=newm;
-    maxmax=0.;
-    for(j=1;j<=nlstate;j++){
-      min=1.;
-      max=0.;
-      for(i=1; i<=nlstate; i++) {
-	sumnew=0;
-	for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];
-	prlim[i][j]= newm[i][j]/(1-sumnew);
-	max=FMAX(max,prlim[i][j]);
-	min=FMIN(min,prlim[i][j]);
-      }
-      maxmin=max-min;
-      maxmax=FMAX(maxmax,maxmin);
-    }
-    if(maxmax < ftolpl){
-      return prlim;
-    }
-  }
-}
-
-/*************** transition probabilities ***************/ 
-
-double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate )
-{
-  double s1, s2;
-  /*double t34;*/
-  int i,j,j1, nc, ii, jj;
-
-    for(i=1; i<= nlstate; i++){
-    for(j=1; j<i;j++){
-      for (nc=1, s2=0.;nc <=ncovmodel; 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];
-	/*printf("Int j<i s1=%.17e, s2=%.17e\n",s1,s2);*/
-      }
-      ps[i][j]=s2;
-      /*printf("s1=%.17e, s2=%.17e\n",s1,s2);*/
-    }
-    for(j=i+1; j<=nlstate+ndeath;j++){
-      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];
-	/*printf("Int j>i s1=%.17e, s2=%.17e %lx %lx\n",s1,s2,s1,s2);*/
-      }
-      ps[i][j]=s2;
-    }
-  }
-    /*ps[3][2]=1;*/
-
-  for(i=1; i<= nlstate; i++){
-     s1=0;
-    for(j=1; j<i; j++)
-      s1+=exp(ps[i][j]);
-    for(j=i+1; j<=nlstate+ndeath; j++)
-      s1+=exp(ps[i][j]);
-    ps[i][i]=1./(s1+1.);
-    for(j=1; j<i; j++)
-      ps[i][j]= exp(ps[i][j])*ps[i][i];
-    for(j=i+1; j<=nlstate+ndeath; j++)
-      ps[i][j]= exp(ps[i][j])*ps[i][i];
-    /* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */
-  } /* end i */
-
-  for(ii=nlstate+1; ii<= nlstate+ndeath; ii++){
-    for(jj=1; jj<= nlstate+ndeath; jj++){
-      ps[ii][jj]=0;
-      ps[ii][ii]=1;
-    }
-  }
-
-
-  /*   for(ii=1; ii<= nlstate+ndeath; ii++){
-    for(jj=1; jj<= nlstate+ndeath; jj++){
-     printf("%lf ",ps[ii][jj]);
-   }
-    printf("\n ");
-    }
-    printf("\n ");printf("%lf ",cov[2]);*/
-/*
-  for(i=1; i<= npar; i++) printf("%f ",x[i]);
-  goto end;*/
-    return ps;
-}
-
-/**************** Product of 2 matrices ******************/
-
-double **matprod2(double **out, double **in,long nrl, long nrh, long ncl, long nch, long ncolol, long ncoloh, double **b)
-{
-  /* Computes the matrix product of in(1,nrh-nrl+1)(1,nch-ncl+1) times
-     b(1,nch-ncl+1)(1,ncoloh-ncolol+1) into out(...) */
-  /* in, b, out are matrice of pointers which should have been initialized 
-     before: only the contents of out is modified. The function returns
-     a pointer to pointers identical to out */
-  long i, j, k;
-  for(i=nrl; i<= nrh; i++)
-    for(k=ncolol; k<=ncoloh; k++)
-      for(j=ncl,out[i][k]=0.; j<=nch; j++)
-	out[i][k] +=in[i][j]*b[j][k];
-
-  return out;
-}
-
-
-/************* Higher Matrix Product ***************/
-
-double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij )
-{
-  /* Computes the transition matrix starting at age 'age' over 'nhstepm*hstepm*stepm' month 
-     duration (i.e. until
-     age (in years)  age+nhstepm*stepm/12) by multiplying nhstepm*hstepm matrices. 
-     Output is stored in matrix po[i][j][h] for h every 'hstepm' step 
-     (typically every 2 years instead of every month which is too big).
-     Model is determined by parameters x and covariates have to be 
-     included manually here. 
-
-     */
-
-  int i, j, d, h, k;
-  double **out, cov[NCOVMAX];
-  double **newm;
-
-  /* Hstepm could be zero and should return the unit matrix */
-  for (i=1;i<=nlstate+ndeath;i++)
-    for (j=1;j<=nlstate+ndeath;j++){
-      oldm[i][j]=(i==j ? 1.0 : 0.0);
-      po[i][j][0]=(i==j ? 1.0 : 0.0);
-    }
-  /* Even if hstepm = 1, at least one multiplication by the unit matrix */
-  for(h=1; h <=nhstepm; h++){
-    for(d=1; d <=hstepm; d++){
-      newm=savm;
-      /* Covariates have to be included here again */
-      cov[1]=1.;
-      cov[2]=age+((h-1)*hstepm + (d-1))*stepm/YEARM;
-      for (k=1; k<=cptcovn;k++) cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];
-      for (k=1; k<=cptcovage;k++)
-	cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
-      for (k=1; k<=cptcovprod;k++)
-	cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];
-
-
-      /*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/
-      /*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,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;
-    }
-    for(i=1; i<=nlstate+ndeath; i++)
-      for(j=1;j<=nlstate+ndeath;j++) {
-	po[i][j][h]=newm[i][j];
-	/*printf("i=%d j=%d h=%d po[i][j][h]=%f ",i,j,h,po[i][j][h]);
-	 */
-      }
-  } /* end h */
-  return po;
-}
-
-
-/*************** log-likelihood *************/
-double func( double *x)
-{
-  int i, ii, j, k, mi, d, kk;
-  double l, ll[NLSTATEMAX], cov[NCOVMAX];
-  double **out;
-  double sw; /* Sum of weights */
-  double lli; /* Individual log likelihood */
-  long ipmx;
-  /*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);
-      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 */
-      
-      lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);
-      /* printf(" %f ",out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/
-      ipmx +=1;
-      sw += weight[i];
-      ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
-    } /* 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 */
-  return -l;
-}
-
-
-/*********** Maximum Likelihood Estimation ***************/
-
-void mlikeli(FILE *ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (*func)(double []))
-{
-  int i,j, iter;
-  double **xi,*delti;
-  double fret;
-  xi=matrix(1,npar,1,npar);
-  for (i=1;i<=npar;i++)
-    for (j=1;j<=npar;j++)
-      xi[i][j]=(i==j ? 1.0 : 0.0);
-  printf("Powell\n");
-  powell(p,xi,npar,ftol,&iter,&fret,func);
-
-   printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));
-  fprintf(ficres,"#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));
-
-}
-
-/**** Computes Hessian and covariance matrix ***/
-void hesscov(double **matcov, double p[], int npar, double delti[], double ftolhess, double (*func)(double []))
-{
-  double  **a,**y,*x,pd;
-  double **hess;
-  int i, j,jk;
-  int *indx;
-
-  double hessii(double p[], double delta, int theta, double delti[]);
-  double hessij(double p[], double delti[], int i, int j);
-  void lubksb(double **a, int npar, int *indx, double b[]) ;
-  void ludcmp(double **a, int npar, int *indx, double *d) ;
-
-  hess=matrix(1,npar,1,npar);
-
-  printf("\nCalculation of the hessian matrix. Wait...\n");
-  for (i=1;i<=npar;i++){
-    printf("%d",i);fflush(stdout);
-    hess[i][i]=hessii(p,ftolhess,i,delti);
-    /*printf(" %f ",p[i]);*/
-    /*printf(" %lf ",hess[i][i]);*/
-  }
-  
-  for (i=1;i<=npar;i++) {
-    for (j=1;j<=npar;j++)  {
-      if (j>i) { 
-	printf(".%d%d",i,j);fflush(stdout);
-	hess[i][j]=hessij(p,delti,i,j);
-	hess[j][i]=hess[i][j];    
-	/*printf(" %lf ",hess[i][j]);*/
-      }
-    }
-  }
-  printf("\n");
-
-  printf("\nInverting the hessian to get the covariance matrix. Wait...\n");
-  
-  a=matrix(1,npar,1,npar);
-  y=matrix(1,npar,1,npar);
-  x=vector(1,npar);
-  indx=ivector(1,npar);
-  for (i=1;i<=npar;i++)
-    for (j=1;j<=npar;j++) a[i][j]=hess[i][j];
-  ludcmp(a,npar,indx,&pd);
-
-  for (j=1;j<=npar;j++) {
-    for (i=1;i<=npar;i++) x[i]=0;
-    x[j]=1;
-    lubksb(a,npar,indx,x);
-    for (i=1;i<=npar;i++){ 
-      matcov[i][j]=x[i];
-    }
-  }
-
-  printf("\n#Hessian matrix#\n");
-  for (i=1;i<=npar;i++) { 
-    for (j=1;j<=npar;j++) { 
-      printf("%.3e ",hess[i][j]);
-    }
-    printf("\n");
-  }
-
-  /* Recompute Inverse */
-  for (i=1;i<=npar;i++)
-    for (j=1;j<=npar;j++) a[i][j]=matcov[i][j];
-  ludcmp(a,npar,indx,&pd);
-
-  /*  printf("\n#Hessian matrix recomputed#\n");
-
-  for (j=1;j<=npar;j++) {
-    for (i=1;i<=npar;i++) x[i]=0;
-    x[j]=1;
-    lubksb(a,npar,indx,x);
-    for (i=1;i<=npar;i++){ 
-      y[i][j]=x[i];
-      printf("%.3e ",y[i][j]);
-    }
-    printf("\n");
-  }
-  */
-
-  free_matrix(a,1,npar,1,npar);
-  free_matrix(y,1,npar,1,npar);
-  free_vector(x,1,npar);
-  free_ivector(indx,1,npar);
-  free_matrix(hess,1,npar,1,npar);
-
-
-}
-
-/*************** hessian matrix ****************/
-double hessii( double x[], double delta, int theta, double delti[])
-{
-  int i;
-  int l=1, lmax=20;
-  double k1,k2;
-  double p2[NPARMAX+1];
-  double res;
-  double delt, delts, nkhi=10.,nkhif=1., khi=1.e-4;
-  double fx;
-  int k=0,kmax=10;
-  double l1;
-
-  fx=func(x);
-  for (i=1;i<=npar;i++) p2[i]=x[i];
-  for(l=0 ; l <=lmax; l++){
-    l1=pow(10,l);
-    delts=delt;
-    for(k=1 ; k <kmax; k=k+1){
-      delt = delta*(l1*k);
-      p2[theta]=x[theta] +delt;
-      k1=func(p2)-fx;
-      p2[theta]=x[theta]-delt;
-      k2=func(p2)-fx;
-      /*res= (k1-2.0*fx+k2)/delt/delt; */
-      res= (k1+k2)/delt/delt/2.; /* Divided by because L and not 2*L */
-      
-#ifdef DEBUG
-      printf("%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);
-#endif
-      /*if(fabs(k1-2.0*fx+k2) <1.e-13){ */
-      if((k1 <khi/nkhi/2.) || (k2 <khi/nkhi/2.)){
-	k=kmax;
-      }
-      else if((k1 >khi/nkhif) || (k2 >khi/nkhif)){ /* Keeps lastvalue before 3.84/2 KHI2 5% 1d.f. */
-	k=kmax; l=lmax*10.;
-      }
-      else if((k1 >khi/nkhi) || (k2 >khi/nkhi)){ 
-	delts=delt;
-      }
-    }
-  }
-  delti[theta]=delts;
-  return res; 
-  
-}
-
-double hessij( double x[], double delti[], int thetai,int thetaj)
-{
-  int i;
-  int l=1, l1, lmax=20;
-  double k1,k2,k3,k4,res,fx;
-  double p2[NPARMAX+1];
-  int k;
-
-  fx=func(x);
-  for (k=1; k<=2; k++) {
-    for (i=1;i<=npar;i++) p2[i]=x[i];
-    p2[thetai]=x[thetai]+delti[thetai]/k;
-    p2[thetaj]=x[thetaj]+delti[thetaj]/k;
-    k1=func(p2)-fx;
-  
-    p2[thetai]=x[thetai]+delti[thetai]/k;
-    p2[thetaj]=x[thetaj]-delti[thetaj]/k;
-    k2=func(p2)-fx;
-  
-    p2[thetai]=x[thetai]-delti[thetai]/k;
-    p2[thetaj]=x[thetaj]+delti[thetaj]/k;
-    k3=func(p2)-fx;
-  
-    p2[thetai]=x[thetai]-delti[thetai]/k;
-    p2[thetaj]=x[thetaj]-delti[thetaj]/k;
-    k4=func(p2)-fx;
-    res=(k1-k2-k3+k4)/4.0/delti[thetai]*k/delti[thetaj]*k/2.; /* Because of L not 2*L */
-#ifdef DEBUG
-    printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e  res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
-#endif
-  }
-  return res;
-}
-
-/************** Inverse of matrix **************/
-void ludcmp(double **a, int n, int *indx, double *d) 
-{ 
-  int i,imax,j,k; 
-  double big,dum,sum,temp; 
-  double *vv; 
- 
-  vv=vector(1,n); 
-  *d=1.0; 
-  for (i=1;i<=n;i++) { 
-    big=0.0; 
-    for (j=1;j<=n;j++) 
-      if ((temp=fabs(a[i][j])) > big) big=temp; 
-    if (big == 0.0) nrerror("Singular matrix in routine ludcmp"); 
-    vv[i]=1.0/big; 
-  } 
-  for (j=1;j<=n;j++) { 
-    for (i=1;i<j;i++) { 
-      sum=a[i][j]; 
-      for (k=1;k<i;k++) sum -= a[i][k]*a[k][j]; 
-      a[i][j]=sum; 
-    } 
-    big=0.0; 
-    for (i=j;i<=n;i++) { 
-      sum=a[i][j]; 
-      for (k=1;k<j;k++) 
-	sum -= a[i][k]*a[k][j]; 
-      a[i][j]=sum; 
-      if ( (dum=vv[i]*fabs(sum)) >= big) { 
-	big=dum; 
-	imax=i; 
-      } 
-    } 
-    if (j != imax) { 
-      for (k=1;k<=n;k++) { 
-	dum=a[imax][k]; 
-	a[imax][k]=a[j][k]; 
-	a[j][k]=dum; 
-      } 
-      *d = -(*d); 
-      vv[imax]=vv[j]; 
-    } 
-    indx[j]=imax; 
-    if (a[j][j] == 0.0) a[j][j]=TINY; 
-    if (j != n) { 
-      dum=1.0/(a[j][j]); 
-      for (i=j+1;i<=n;i++) a[i][j] *= dum; 
-    } 
-  } 
-  free_vector(vv,1,n);  /* Doesn't work */
-;
-} 
-
-void lubksb(double **a, int n, int *indx, double b[]) 
-{ 
-  int i,ii=0,ip,j; 
-  double sum; 
- 
-  for (i=1;i<=n;i++) { 
-    ip=indx[i]; 
-    sum=b[ip]; 
-    b[ip]=b[i]; 
-    if (ii) 
-      for (j=ii;j<=i-1;j++) sum -= a[i][j]*b[j]; 
-    else if (sum) ii=i; 
-    b[i]=sum; 
-  } 
-  for (i=n;i>=1;i--) { 
-    sum=b[i]; 
-    for (j=i+1;j<=n;j++) sum -= a[i][j]*b[j]; 
-    b[i]=sum/a[i][i]; 
-  } 
-} 
-
-/************ Frequencies ********************/
-void  freqsummary(char fileres[], int agemin, int agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2,double jprev1, double mprev1,double anprev1,double jprev2, double mprev2,double anprev2)
-{  /* Some frequencies */
-  
-  int i, m, jk, k1,i1, j1, bool, z1,z2,j;
-  double ***freq; /* Frequencies */
-  double *pp;
-  double pos, k2, dateintsum=0,k2cpt=0;
-  FILE *ficresp;
-  char fileresp[FILENAMELENGTH];
-  
-  pp=vector(1,nlstate);
-  probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
-  strcpy(fileresp,"p");
-  strcat(fileresp,fileres);
-  if((ficresp=fopen(fileresp,"w"))==NULL) {
-    printf("Problem with prevalence resultfile: %s\n", fileresp);
-    exit(0);
-  }
-  freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3);
-  j1=0;
-  
-  j=cptcoveff;
-  if (cptcovn<1) {j=1;ncodemax[1]=1;}
-  
-  for(k1=1; k1<=j;k1++){
-    for(i1=1; i1<=ncodemax[k1];i1++){
-      j1++;
-      /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);
-	scanf("%d", i);*/
-      for (i=-1; i<=nlstate+ndeath; i++)  
-	for (jk=-1; jk<=nlstate+ndeath; jk++)  
-	  for(m=agemin; m <= agemax+3; m++)
-	    freq[i][jk][m]=0;
-      
-      dateintsum=0;
-      k2cpt=0;
-      for (i=1; i<=imx; i++) {
-	bool=1;
-	if  (cptcovn>0) {
-	  for (z1=1; z1<=cptcoveff; z1++) 
-	    if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]) 
-	      bool=0;
-	}
-	if (bool==1) {
-	  for(m=firstpass; m<=lastpass; m++){
-	    k2=anint[m][i]+(mint[m][i]/12.);
-	    if ((k2>=dateprev1) && (k2<=dateprev2)) {
-	      if(agev[m][i]==0) agev[m][i]=agemax+1;
-	      if(agev[m][i]==1) agev[m][i]=agemax+2;
-	      if (m<lastpass) {
-		freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];
-		freq[s[m][i]][s[m+1][i]][(int) agemax+3] += weight[i];
-	      }
-	      
-	      if ((agev[m][i]>1) && (agev[m][i]< (agemax+3))) {
-		dateintsum=dateintsum+k2;
-		k2cpt++;
-	      }
-	    }
-	  }
-	}
-      }
-       
-      fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);
-
-      if  (cptcovn>0) {
-	fprintf(ficresp, "\n#********** Variable "); 
-	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
-	fprintf(ficresp, "**********\n#");
-      }
-      for(i=1; i<=nlstate;i++) 
-	fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);
-      fprintf(ficresp, "\n");
-      
-      for(i=(int)agemin; i <= (int)agemax+3; i++){
-	if(i==(int)agemax+3)
-	  printf("Total");
-	else
-	  printf("Age %d", i);
-	for(jk=1; jk <=nlstate ; jk++){
-	  for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++)
-	    pp[jk] += freq[jk][m][i]; 
-	}
-	for(jk=1; jk <=nlstate ; jk++){
-	  for(m=-1, pos=0; m <=0 ; m++)
-	    pos += freq[jk][m][i];
-	  if(pp[jk]>=1.e-10)
-	    printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
-	  else
-	    printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk);
-	}
-
-	for(jk=1; jk <=nlstate ; jk++){
-	  for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)
-	    pp[jk] += freq[jk][m][i];
-	}
-
-	for(jk=1,pos=0; jk <=nlstate ; jk++)
-	  pos += pp[jk];
-	for(jk=1; jk <=nlstate ; jk++){
-	  if(pos>=1.e-5)
-	    printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos);
-	  else
-	    printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
-	  if( i <= (int) agemax){
-	    if(pos>=1.e-5){
-	      fprintf(ficresp," %d %.5f %.0f %.0f",i,pp[jk]/pos, pp[jk],pos);
-	      probs[i][jk][j1]= pp[jk]/pos;
-	      /*printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);*/
-	    }
-	    else
-	      fprintf(ficresp," %d NaNq %.0f %.0f",i,pp[jk],pos);
-	  }
-	}
-	
-	for(jk=-1; jk <=nlstate+ndeath; jk++)
-	  for(m=-1; m <=nlstate+ndeath; m++)
-	    if(freq[jk][m][i] !=0 ) printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);
-	if(i <= (int) agemax)
-	  fprintf(ficresp,"\n");
-	printf("\n");
-      }
-    }
-  }
-  dateintmean=dateintsum/k2cpt; 
- 
-  fclose(ficresp);
-  free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3);
-  free_vector(pp,1,nlstate);
-  
-  /* End of Freq */
-}
-
-/************ Prevalence ********************/
-void prevalence(int agemin, float agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, double calagedate)
-{  /* Some frequencies */
- 
-  int i, m, jk, k1, i1, j1, bool, z1,z2,j;
-  double ***freq; /* Frequencies */
-  double *pp;
-  double pos, k2;
-
-  pp=vector(1,nlstate);
-  probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
-  
-  freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3);
-  j1=0;
-  
-  j=cptcoveff;
-  if (cptcovn<1) {j=1;ncodemax[1]=1;}
-  
-  for(k1=1; k1<=j;k1++){
-    for(i1=1; i1<=ncodemax[k1];i1++){
-      j1++;
-      
-      for (i=-1; i<=nlstate+ndeath; i++)  
-	for (jk=-1; jk<=nlstate+ndeath; jk++)  
-	  for(m=agemin; m <= agemax+3; m++)
-	    freq[i][jk][m]=0;
-     
-      for (i=1; i<=imx; i++) {
-	bool=1;
-	if  (cptcovn>0) {
-	  for (z1=1; z1<=cptcoveff; z1++) 
-	    if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]) 
-	      bool=0;
-	} 
-	if (bool==1) { 
-	  for(m=firstpass; m<=lastpass; m++){
-	    k2=anint[m][i]+(mint[m][i]/12.);
-	    if ((k2>=dateprev1) && (k2<=dateprev2)) {
-	      if(agev[m][i]==0) agev[m][i]=agemax+1;
-	      if(agev[m][i]==1) agev[m][i]=agemax+2;
-	      if (m<lastpass) {
-	      	if (calagedate>0) 
-		  freq[s[m][i]][s[m+1][i]][(int)(agev[m][i]+1-((int)calagedate %12)/12.)] += weight[i];
-		else
-		  freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];
-		freq[s[m][i]][s[m+1][i]][(int)(agemax+3)] += weight[i]; 
-	      }
-	    }
-	  }
-	}
-      }
-      for(i=(int)agemin; i <= (int)agemax+3; i++){ 
-	for(jk=1; jk <=nlstate ; jk++){
-	  for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++)
-	    pp[jk] += freq[jk][m][i]; 
-	}
-	for(jk=1; jk <=nlstate ; jk++){
-	  for(m=-1, pos=0; m <=0 ; m++)
-	    pos += freq[jk][m][i];
-	}
-	
-	for(jk=1; jk <=nlstate ; jk++){
-	  for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)
-	    pp[jk] += freq[jk][m][i];
-	}
-	
-	for(jk=1,pos=0; jk <=nlstate ; jk++) pos += pp[jk];
-	
-	for(jk=1; jk <=nlstate ; jk++){	   
-	  if( i <= (int) agemax){
-	    if(pos>=1.e-5){
-	      probs[i][jk][j1]= pp[jk]/pos;
-	    }
-	  }
-	}
-	
-      }
-    }
-  }
-
-  
-  free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3);
-  free_vector(pp,1,nlstate);
-  
-}  /* End of Freq */
-
-/************* Waves Concatenation ***************/
-
-void  concatwav(int wav[], int **dh, int **mw, int **s, double *agedc, double **agev, int  firstpass, int lastpass, int imx, int nlstate, int stepm)
-{
-  /* Concatenates waves: wav[i] is the number of effective (useful waves) of individual i.
-     Death is a valid wave (if date is known).
-     mw[mi][i] is the mi (mi=1 to wav[i])  effective wave of individual i
-     dh[m][i] of dh[mw[mi][i][i] is the delay between two effective waves m=mw[mi][i]
-     and mw[mi+1][i]. dh depends on stepm.
-     */
-
-  int i, mi, m;
-  /* int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1;
-     double sum=0., jmean=0.;*/
-
-  int j, k=0,jk, ju, jl;
-  double sum=0.;
-  jmin=1e+5;
-  jmax=-1;
-  jmean=0.;
-  for(i=1; i<=imx; i++){
-    mi=0;
-    m=firstpass;
-    while(s[m][i] <= nlstate){
-      if(s[m][i]>=1)
-	mw[++mi][i]=m;
-      if(m >=lastpass)
-	break;
-      else
-	m++;
-    }/* end while */
-    if (s[m][i] > nlstate){
-      mi++;	/* Death is another wave */
-      /* if(mi==0)  never been interviewed correctly before death */
-	 /* Only death is a correct wave */
-      mw[mi][i]=m;
-    }
-
-    wav[i]=mi;
-    if(mi==0)
-      printf("Warning, no any valid information for:%d line=%d\n",num[i],i);
-  }
-
-  for(i=1; i<=imx; i++){
-    for(mi=1; mi<wav[i];mi++){
-      if (stepm <=0)
-	dh[mi][i]=1;
-      else{
-	if (s[mw[mi+1][i]][i] > nlstate) {
-	  if (agedc[i] < 2*AGESUP) {
-	  j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12); 
-	  if(j==0) j=1;  /* Survives at least one month after exam */
-	  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); */
-	  }
-	}
-	else{
-	  j= rint( (agev[mw[mi+1][i]][i]*12 - agev[mw[mi][i]][i]*12));
-	  k=k+1;
-	  if (j >= jmax) jmax=j;
-	  else if (j <= jmin)jmin=j;
-	  /*	    if (j<10) printf("j=%d jmin=%d num=%d ",j,jmin,i); */
-	  sum=sum+j;
-	}
-	jk= j/stepm;
-	jl= j -jk*stepm;
-	ju= j -(jk+1)*stepm;
-	if(jl <= -ju)
-	  dh[mi][i]=jk;
-	else
-	  dh[mi][i]=jk+1;
-	if(dh[mi][i]==0)
-	  dh[mi][i]=1; /* At least one step */
-      }
-    }
-  }
-  jmean=sum/k;
-  printf("Delay (in months) between two waves Min=%d Max=%d Mean=%f\n\n ",jmin, jmax,jmean);
- }
-/*********** Tricode ****************************/
-void tricode(int *Tvar, int **nbcode, int imx)
-{
-  int Ndum[20],ij=1, k, j, i;
-  int cptcode=0;
-  cptcoveff=0; 
- 
-  for (k=0; k<19; k++) Ndum[k]=0;
-  for (k=1; k<=7; k++) ncodemax[k]=0;
-
-  for (j=1; j<=(cptcovn+2*cptcovprod); j++) {
-    for (i=1; i<=imx; i++) {
-      ij=(int)(covar[Tvar[j]][i]);
-      Ndum[ij]++; 
-      /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/
-      if (ij > cptcode) cptcode=ij; 
-    }
-
-    for (i=0; i<=cptcode; i++) {
-      if(Ndum[i]!=0) ncodemax[j]++;
-    }
-    ij=1; 
-
-
-    for (i=1; i<=ncodemax[j]; i++) {
-      for (k=0; k<=19; k++) {
-	if (Ndum[k] != 0) {
-	  nbcode[Tvar[j]][ij]=k; 
-	  
-	  ij++;
-	}
-	if (ij > ncodemax[j]) break; 
-      }  
-    } 
-  }  
-
- for (k=0; k<19; k++) Ndum[k]=0;
-
- for (i=1; i<=ncovmodel-2; i++) {
-      ij=Tvar[i];
-      Ndum[ij]++; 
-    }
-
- ij=1;
- for (i=1; i<=10; i++) {
-   if((Ndum[i]!=0) && (i<=ncovcol)){
-     Tvaraff[ij]=i; 
-     ij++;
-   }
- }
- 
-    cptcoveff=ij-1;
-}
-
-/*********** 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 )
-
-{
-  /* Health expectancies */
-  int i, j, nhstepm, hstepm, h, nstepm, k, cptj;
-  double age, agelim, hf;
-  double ***p3mat,***varhe;
-  double **dnewm,**doldm;
-  double *xp;
-  double **gp, **gm;
-  double ***gradg, ***trgradg;
-  int theta;
-
-  varhe=ma3x(1,nlstate*2,1,nlstate*2,(int) bage, (int) fage);
-  xp=vector(1,npar);
-  dnewm=matrix(1,nlstate*2,1,npar);
-  doldm=matrix(1,nlstate*2,1,nlstate*2);
-  
-  fprintf(ficreseij,"# Health expectancies\n");
-  fprintf(ficreseij,"# Age");
-  for(i=1; i<=nlstate;i++)
-    for(j=1; j<=nlstate;j++)
-      fprintf(ficreseij," %1d-%1d (SE)",i,j);
-  fprintf(ficreseij,"\n");
-
-  if(estepm < stepm){
-    printf ("Problem %d lower than %d\n",estepm, stepm);
-  }
-  else  hstepm=estepm;   
-  /* We compute the life expectancy from trapezoids spaced every estepm months
-   * This is mainly to measure the difference between two models: for example
-   * if stepm=24 months pijx are given only every 2 years and by summing them
-   * we are calculating an estimate of the Life Expectancy assuming a linear 
-   * progression inbetween and thus overestimating or underestimating according
-   * to the curvature of the survival function. If, for the same date, we 
-   * estimate the model with stepm=1 month, we can keep estepm to 24 months
-   * to compare the new estimate of Life expectancy with the same linear 
-   * hypothesis. A more precise result, taking into account a more precise
-   * curvature will be obtained if estepm is as small as stepm. */
-
-  /* For example we decided to compute the life expectancy with the smallest unit */
-  /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm. 
-     nhstepm is the number of hstepm from age to agelim 
-     nstepm is the number of stepm from age to agelin. 
-     Look at hpijx to understand the reason of that which relies in memory size
-     and note for a fixed period like estepm months */
-  /* We decided (b) to get a life expectancy respecting the most precise curvature of the
-     survival function given by stepm (the optimization length). Unfortunately it
-     means that if the survival funtion is printed only each two years of age and if
-     you sum them up and add 1 year (area under the trapezoids) you won't get the same 
-     results. So we changed our mind and took the option of the best precision.
-  */
-  hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */ 
-
-  agelim=AGESUP;
-  for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
-    /* nhstepm age range expressed in number of stepm */
-    nstepm=(int) rint((agelim-age)*YEARM/stepm); 
-    /* Typically if 20 years nstepm = 20*12/6=40 stepm */ 
-    /* if (stepm >= YEARM) hstepm=1;*/
-    nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
-    p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
-    gradg=ma3x(0,nhstepm,1,npar,1,nlstate*2);
-    gp=matrix(0,nhstepm,1,nlstate*2);
-    gm=matrix(0,nhstepm,1,nlstate*2);
-
-    /* Computed by stepm unit matrices, product of hstepm matrices, stored
-       in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */
-    hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, ij);  
- 
-
-    hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
-
-    /* Computing Variances of health expectancies */
-
-     for(theta=1; theta <=npar; theta++){
-      for(i=1; i<=npar; i++){ 
-	xp[i] = x[i] + (i==theta ?delti[theta]:0);
-      }
-      hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);  
-  
-      cptj=0;
-      for(j=1; j<= nlstate; j++){
-	for(i=1; i<=nlstate; i++){
-	  cptj=cptj+1;
-	  for(h=0, gp[h][cptj]=0.; h<=nhstepm-1; h++){
-	    gp[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.;
-	  }
-	}
-      }
-     
-     
-      for(i=1; i<=npar; i++) 
-	xp[i] = x[i] - (i==theta ?delti[theta]:0);
-      hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);  
-      
-      cptj=0;
-      for(j=1; j<= nlstate; j++){
-	for(i=1;i<=nlstate;i++){
-	  cptj=cptj+1;
-	  for(h=0, gm[h][cptj]=0.; h<=nhstepm-1; h++){
-	    gm[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.;
-	  }
-	}
-      }
-     
-   
-
-      for(j=1; j<= nlstate*2; j++)
-	for(h=0; h<=nhstepm-1; h++){
-	  gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
-	}
-
-     } 
-   
-/* End theta */
-
-     trgradg =ma3x(0,nhstepm,1,nlstate*2,1,npar);
-
-     for(h=0; h<=nhstepm-1; h++)
-      for(j=1; j<=nlstate*2;j++)
-	for(theta=1; theta <=npar; theta++)
-	trgradg[h][j][theta]=gradg[h][theta][j];
-
-
-     for(i=1;i<=nlstate*2;i++)
-      for(j=1;j<=nlstate*2;j++)
-	varhe[i][j][(int)age] =0.;
-
-     printf("%d|",(int)age);fflush(stdout);
-    for(h=0;h<=nhstepm-1;h++){
-      for(k=0;k<=nhstepm-1;k++){
-	matprod2(dnewm,trgradg[h],1,nlstate*2,1,npar,1,npar,matcov);
-	matprod2(doldm,dnewm,1,nlstate*2,1,npar,1,nlstate*2,gradg[k]);
-	for(i=1;i<=nlstate*2;i++)
-	  for(j=1;j<=nlstate*2;j++)
-	    varhe[i][j][(int)age] += doldm[i][j]*hf*hf;
-      }
-    }
-
-     
-    /* Computing expectancies */
-    for(i=1; i<=nlstate;i++)
-      for(j=1; j<=nlstate;j++)
-	for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){
-	  eij[i][j][(int)age] += (p3mat[i][j][h]+p3mat[i][j][h+1])/2.0*hf;
-	  
-/* if((int)age==70)printf("i=%2d,j=%2d,h=%2d,age=%3d,%9.4f,%9.4f,%9.4f\n",i,j,h,(int)age,p3mat[i][j][h],hf,eij[i][j][(int)age]);*/
-
-	}
-
-    fprintf(ficreseij,"%3.0f",age );
-    cptj=0;
-    for(i=1; i<=nlstate;i++)
-      for(j=1; j<=nlstate;j++){
-	cptj++;
-	fprintf(ficreseij," %9.4f (%.4f)", eij[i][j][(int)age], sqrt(varhe[cptj][cptj][(int)age]) );
-      }
-    fprintf(ficreseij,"\n");
-   
-    free_matrix(gm,0,nhstepm,1,nlstate*2);
-    free_matrix(gp,0,nhstepm,1,nlstate*2);
-    free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate*2);
-    free_ma3x(trgradg,0,nhstepm,1,nlstate*2,1,npar);
-    free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
-  }
-  free_vector(xp,1,npar);
-  free_matrix(dnewm,1,nlstate*2,1,npar);
-  free_matrix(doldm,1,nlstate*2,1,nlstate*2);
-  free_ma3x(varhe,1,nlstate*2,1,nlstate*2,(int) bage, (int)fage);
-}
-
-/************ Variance ******************/
-void varevsij(char fileres[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij, int estepm)
-{
-  /* Variance of health expectancies */
-  /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/
-  double **newm;
-  double **dnewm,**doldm;
-  int i, j, nhstepm, hstepm, h, nstepm ;
-  int k, cptcode;
-  double *xp;
-  double **gp, **gm;
-  double ***gradg, ***trgradg;
-  double ***p3mat;
-  double age,agelim, hf;
-  int theta;
-
-  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");
-  for(i=1; i<=nlstate;i++)
-    for(j=1; j<=nlstate;j++)
-      fprintf(ficresvij," Cov(e%1d, e%1d)",i,j);
-  fprintf(ficresvij,"\n");
-
-  xp=vector(1,npar);
-  dnewm=matrix(1,nlstate,1,npar);
-  doldm=matrix(1,nlstate,1,nlstate);
-  
-  if(estepm < stepm){
-    printf ("Problem %d lower than %d\n",estepm, stepm);
-  }
-  else  hstepm=estepm;   
-  /* For example we decided to compute the life expectancy with the smallest unit */
-  /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm. 
-     nhstepm is the number of hstepm from age to agelim 
-     nstepm is the number of stepm from age to agelin. 
-     Look at hpijx to understand the reason of that which relies in memory size
-     and note for a fixed period like k years */
-  /* We decided (b) to get a life expectancy respecting the most precise curvature of the
-     survival function given by stepm (the optimization length). Unfortunately it
-     means that if the survival funtion is printed only each two years of age and if
-     you sum them up and add 1 year (area under the trapezoids) you won't get the same 
-     results. So we changed our mind and took the option of the best precision.
-  */
-  hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */ 
-  agelim = AGESUP;
-  for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
-    nstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ 
-    nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
-    p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
-    gradg=ma3x(0,nhstepm,1,npar,1,nlstate);
-    gp=matrix(0,nhstepm,1,nlstate);
-    gm=matrix(0,nhstepm,1,nlstate);
-
-    for(theta=1; theta <=npar; theta++){
-      for(i=1; i<=npar; i++){ /* Computes gradient */
-	xp[i] = x[i] + (i==theta ?delti[theta]:0);
-      }
-      hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);  
-      prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
-
-      if (popbased==1) {
-	for(i=1; i<=nlstate;i++)
-	  prlim[i][i]=probs[(int)age][i][ij];
-      }
-  
-      for(j=1; j<= nlstate; j++){
-	for(h=0; h<=nhstepm; h++){
-	  for(i=1, gp[h][j]=0.;i<=nlstate;i++)
-	    gp[h][j] += prlim[i][i]*p3mat[i][j][h];
-	}
-      }
-    
-      for(i=1; i<=npar; i++) /* Computes gradient */
-	xp[i] = x[i] - (i==theta ?delti[theta]:0);
-      hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);  
-      prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
- 
-      if (popbased==1) {
-	for(i=1; i<=nlstate;i++)
-	  prlim[i][i]=probs[(int)age][i][ij];
-      }
-
-      for(j=1; j<= nlstate; j++){
-	for(h=0; h<=nhstepm; h++){
-	  for(i=1, gm[h][j]=0.;i<=nlstate;i++)
-	    gm[h][j] += prlim[i][i]*p3mat[i][j][h];
-	}
-      }
-
-      for(j=1; j<= nlstate; j++)
-	for(h=0; h<=nhstepm; h++){
-	  gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
-	}
-    } /* End theta */
-
-    trgradg =ma3x(0,nhstepm,1,nlstate,1,npar);
-
-    for(h=0; h<=nhstepm; h++)
-      for(j=1; j<=nlstate;j++)
-	for(theta=1; theta <=npar; theta++)
-	  trgradg[h][j][theta]=gradg[h][theta][j];
-
-    hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
-    for(i=1;i<=nlstate;i++)
-      for(j=1;j<=nlstate;j++)
-	vareij[i][j][(int)age] =0.;
-
-    for(h=0;h<=nhstepm;h++){
-      for(k=0;k<=nhstepm;k++){
-	matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov);
-	matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg[k]);
-	for(i=1;i<=nlstate;i++)
-	  for(j=1;j<=nlstate;j++)
-	    vareij[i][j][(int)age] += doldm[i][j]*hf*hf;
-      }
-    }
-
-    fprintf(ficresvij,"%.0f ",age );
-    for(i=1; i<=nlstate;i++)
-      for(j=1; j<=nlstate;j++){
-	fprintf(ficresvij," %.4f", vareij[i][j][(int)age]);
-      }
-    fprintf(ficresvij,"\n");
-    free_matrix(gp,0,nhstepm,1,nlstate);
-    free_matrix(gm,0,nhstepm,1,nlstate);
-    free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate);
-    free_ma3x(trgradg,0,nhstepm,1,nlstate,1,npar);
-    free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
-  } /* End age */
-  
-  free_vector(xp,1,npar);
-  free_matrix(doldm,1,nlstate,1,npar);
-  free_matrix(dnewm,1,nlstate,1,nlstate);
-
-}
-
-/************ 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)
-{
-  /* Variance of prevalence limit */
-  /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/
-  double **newm;
-  double **dnewm,**doldm;
-  int i, j, nhstepm, hstepm;
-  int k, cptcode;
-  double *xp;
-  double *gp, *gm;
-  double **gradg, **trgradg;
-  double age,agelim;
-  int theta;
-   
-  fprintf(ficresvpl,"# Standard deviation of prevalence's limit\n");
-  fprintf(ficresvpl,"# Age");
-  for(i=1; i<=nlstate;i++)
-      fprintf(ficresvpl," %1d-%1d",i,i);
-  fprintf(ficresvpl,"\n");
-
-  xp=vector(1,npar);
-  dnewm=matrix(1,nlstate,1,npar);
-  doldm=matrix(1,nlstate,1,nlstate);
-  
-  hstepm=1*YEARM; /* Every year of age */
-  hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */ 
-  agelim = AGESUP;
-  for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
-    nhstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ 
-    if (stepm >= YEARM) hstepm=1;
-    nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
-    gradg=matrix(1,npar,1,nlstate);
-    gp=vector(1,nlstate);
-    gm=vector(1,nlstate);
-
-    for(theta=1; theta <=npar; theta++){
-      for(i=1; i<=npar; i++){ /* Computes gradient */
-	xp[i] = x[i] + (i==theta ?delti[theta]:0);
-      }
-      prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
-      for(i=1;i<=nlstate;i++)
-	gp[i] = prlim[i][i];
-    
-      for(i=1; i<=npar; i++) /* Computes gradient */
-	xp[i] = x[i] - (i==theta ?delti[theta]:0);
-      prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
-      for(i=1;i<=nlstate;i++)
-	gm[i] = prlim[i][i];
-
-      for(i=1;i<=nlstate;i++)
-	gradg[theta][i]= (gp[i]-gm[i])/2./delti[theta];
-    } /* End theta */
-
-    trgradg =matrix(1,nlstate,1,npar);
-
-    for(j=1; j<=nlstate;j++)
-      for(theta=1; theta <=npar; theta++)
-	trgradg[j][theta]=gradg[theta][j];
-
-    for(i=1;i<=nlstate;i++)
-      varpl[i][(int)age] =0.;
-    matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov);
-    matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg);
-    for(i=1;i<=nlstate;i++)
-      varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */
-
-    fprintf(ficresvpl,"%.0f ",age );
-    for(i=1; i<=nlstate;i++)
-      fprintf(ficresvpl," %.5f (%.5f)",prlim[i][i],sqrt(varpl[i][(int)age]));
-    fprintf(ficresvpl,"\n");
-    free_vector(gp,1,nlstate);
-    free_vector(gm,1,nlstate);
-    free_matrix(gradg,1,npar,1,nlstate);
-    free_matrix(trgradg,1,nlstate,1,npar);
-  } /* End age */
-
-  free_vector(xp,1,npar);
-  free_matrix(doldm,1,nlstate,1,npar);
-  free_matrix(dnewm,1,nlstate,1,nlstate);
-
-}
-
-/************ Variance of one-step probabilities  ******************/
-void varprob(char fileres[], double **matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij, int *Tvar, int **nbcode, int *ncodemax)
-{
-  int i, j, i1, k1, j1, z1;
-  int k=0, cptcode;
-  double **dnewm,**doldm;
-  double *xp;
-  double *gp, *gm;
-  double **gradg, **trgradg;
-  double age,agelim, cov[NCOVMAX];
-  int theta;
-  char fileresprob[FILENAMELENGTH];
-
-  strcpy(fileresprob,"prob"); 
-  strcat(fileresprob,fileres);
-  if((ficresprob=fopen(fileresprob,"w"))==NULL) {
-    printf("Problem with resultfile: %s\n", fileresprob);
-  }
-  printf("Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob);
-  
-fprintf(ficresprob,"#One-step probabilities and standard deviation in parentheses\n");
-  fprintf(ficresprob,"# Age");
-  for(i=1; i<=nlstate;i++)
-    for(j=1; j<=(nlstate+ndeath);j++)
-      fprintf(ficresprob," p%1d-%1d (SE)",i,j);
-
-
-  fprintf(ficresprob,"\n");
-
-
-  xp=vector(1,npar);
-  dnewm=matrix(1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
-  doldm=matrix(1,(nlstate+ndeath)*(nlstate+ndeath),1,(nlstate+ndeath)*(nlstate+ndeath));
-  
-  cov[1]=1;
-  j=cptcoveff;
-  if (cptcovn<1) {j=1;ncodemax[1]=1;}
-  j1=0;
-  for(k1=1; k1<=1;k1++){
-    for(i1=1; i1<=ncodemax[k1];i1++){ 
-    j1++;
-
-    if  (cptcovn>0) {
-      fprintf(ficresprob, "\n#********** Variable "); 
-      for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
-      fprintf(ficresprob, "**********\n#");
-    }
-    
-      for (age=bage; age<=fage; age ++){ 
-	cov[2]=age;
-	for (k=1; k<=cptcovn;k++) {
-	  cov[2+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]];
-	  
-	}
-	for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
-	for (k=1; k<=cptcovprod;k++)
-	  cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];
-	
-	gradg=matrix(1,npar,1,9);
-	trgradg=matrix(1,9,1,npar);
-	gp=vector(1,(nlstate+ndeath)*(nlstate+ndeath));
-	gm=vector(1,(nlstate+ndeath)*(nlstate+ndeath));
-    
-	for(theta=1; theta <=npar; theta++){
-	  for(i=1; i<=npar; i++)
-	    xp[i] = x[i] + (i==theta ?delti[theta]:0);
-	  
-	  pmij(pmmij,cov,ncovmodel,xp,nlstate);
-	  
-	  k=0;
-	  for(i=1; i<= (nlstate+ndeath); i++){
-	    for(j=1; j<=(nlstate+ndeath);j++){
-	      k=k+1;
-	      gp[k]=pmmij[i][j];
-	    }
-	  }
-	  
-	  for(i=1; i<=npar; i++)
-	    xp[i] = x[i] - (i==theta ?delti[theta]:0);
-    
-	  pmij(pmmij,cov,ncovmodel,xp,nlstate);
-	  k=0;
-	  for(i=1; i<=(nlstate+ndeath); i++){
-	    for(j=1; j<=(nlstate+ndeath);j++){
-	      k=k+1;
-	      gm[k]=pmmij[i][j];
-	    }
-	  }
-     
-	  for(i=1; i<= (nlstate+ndeath)*(nlstate+ndeath); i++) 
-	    gradg[theta][i]=(gp[i]-gm[i])/2./delti[theta];  
-	}
-
-	for(j=1; j<=(nlstate+ndeath)*(nlstate+ndeath);j++)
-	  for(theta=1; theta <=npar; theta++)
-	    trgradg[j][theta]=gradg[theta][j];
-	
-	matprod2(dnewm,trgradg,1,9,1,npar,1,npar,matcov);
-	matprod2(doldm,dnewm,1,9,1,npar,1,9,gradg);
-	
-	pmij(pmmij,cov,ncovmodel,x,nlstate);
-	
-	k=0;
-	for(i=1; i<=(nlstate+ndeath); i++){
-	  for(j=1; j<=(nlstate+ndeath);j++){
-	    k=k+1;
-	    gm[k]=pmmij[i][j];
-	  }
-	}
-     
-     /*printf("\n%d ",(int)age);
-     for (i=1; i<=(nlstate+ndeath)*(nlstate+ndeath-1);i++){
-       printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i]));
-     }*/
-
-	fprintf(ficresprob,"\n%d ",(int)age);
-
-	for (i=1; i<=(nlstate+ndeath)*(nlstate+ndeath-1);i++)
-	  fprintf(ficresprob,"%.3e (%.3e) ",gm[i],sqrt(doldm[i][i]));
-  
-      }
-    }
-    free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath));
-    free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath));
-    free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
-    free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
-  }
-  free_vector(xp,1,npar);
-  fclose(ficresprob);
-  
-}
-
-
-/******************* Printing html file ***********/
-void printinghtml(char fileres[], char title[], char datafile[], int firstpass, \
-		  int lastpass, int stepm, int weightopt, char model[],\
-		  int imx,int jmin, int jmax, double jmeanint,char optionfile[], \
-		  char optionfilehtm[],char rfileres[], char optionfilegnuplot[],\
-		  char version[], int popforecast, int estepm ,\
-		  double jprev1, double mprev1,double anprev1, \
-		  double jprev2, double mprev2,double anprev2){
-  int jj1, k1, i1, cpt;
-  FILE *fichtm;
-  /*char optionfilehtm[FILENAMELENGTH];*/
-
-  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
-Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n
-<hr  size=\"2\" color=\"#EC5E5E\">
- <ul><li>Parameter files<br>\n
- - Copy of the parameter file: <a href=\"o%s\">o%s</a><br>\n
- - Gnuplot file name: <a href=\"%s\">%s</a><br></ul>\n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,optionfilegnuplot,optionfilegnuplot);
-
-   fprintf(fichtm,"<ul><li>Result files (first order: no variance)<br>\n
- - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"p%s\">p%s</a> <br>\n
- - Estimated transition probabilities over %d (stepm) months: <a href=\"pij%s\">pij%s</a><br>\n
- - Stable prevalence in each health state: <a href=\"pl%s\">pl%s</a> <br>\n
- - Life expectancies by age and initial health status (estepm=%2d months): 
-   <a href=\"e%s\">e%s</a> <br>\n</li>", \
-  jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,fileres,fileres,stepm,fileres,fileres,fileres,fileres,estepm,fileres,fileres);
-
- fprintf(fichtm,"\n<li> Result files (second order: variances)<br>\n
- - Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br>\n
- - Variance of one-step probabilities: <a href=\"prob%s\">prob%s</a> <br>\n
- - Variances and covariances of life expectancies by age and initial health status (estepm=%d months): <a href=\"v%s\">v%s</a><br>\n 
- - Health expectancies with their variances (no covariance): <a href=\"t%s\">t%s</a> <br>\n
- - Standard deviation of stable prevalences: <a href=\"vpl%s\">vpl%s</a> <br>\n",rfileres,rfileres,fileres,fileres, estepm, fileres,fileres,fileres,fileres,fileres,fileres);
-
- if(popforecast==1) fprintf(fichtm,"\n
- - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n
- - Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n
-	<br>",fileres,fileres,fileres,fileres);
- else 
-   fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model);
-fprintf(fichtm," <li>Graphs</li><p>");
-
- m=cptcoveff;
- if (cptcovn < 1) {m=1;ncodemax[1]=1;}
-
- jj1=0;
- for(k1=1; k1<=m;k1++){
-   for(i1=1; i1<=ncodemax[k1];i1++){
-     jj1++;
-     if (cptcovn > 0) {
-       fprintf(fichtm,"<hr  size=\"2\" color=\"#EC5E5E\">************ Results for covariates");
-       for (cpt=1; cpt<=cptcoveff;cpt++) 
-	 fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[jj1][cpt]]);
-       fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
-     }
-     /* Pij */
-     fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before: pe%s%d1.png<br>
-<img src=\"pe%s%d1.png\">",stepm,strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1);     
-     /* Quasi-incidences */
-     fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: pe%s%d2.png<br>
-<img src=\"pe%s%d2.png\">",stepm,strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1); 
-       /* Stable prevalence in each health state */
-       for(cpt=1; cpt<nlstate;cpt++){
-	 fprintf(fichtm,"<br>- Stable prevalence in each health state : p%s%d%d.png<br>
-<img src=\"p%s%d%d.png\">",strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1);
-       }
-    for(cpt=1; cpt<=nlstate;cpt++) {
-       fprintf(fichtm,"<br>- Observed and stationary prevalence (with confident
-interval) in state (%d): v%s%d%d.png <br>
-<img src=\"v%s%d%d.png\">",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1);  
-     }
-     for(cpt=1; cpt<=nlstate;cpt++) {
-        fprintf(fichtm,"\n<br>- Health life expectancies by age and initial health state (%d): exp%s%d%d.png <br>
-<img src=\"exp%s%d%d.png\">",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1);
-     }
-     fprintf(fichtm,"\n<br>- Total life expectancy by age and
-health expectancies in states (1) and (2): e%s%d.png<br>
-<img src=\"e%s%d.png\">",strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1);
-fprintf(fichtm,"\n</body>");
-   }
- }
-fclose(fichtm);
-}
-
-/******************* Gnuplot file **************/
-void printinggnuplot(char fileres[],char optionfilefiname[],char optionfile[],char optionfilegnuplot[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){
-
-  int m,cpt,k1,i,k,j,jk,k2,k3,ij,l;
-  int ng;
-  strcpy(optionfilegnuplot,optionfilefiname);
-  strcat(optionfilegnuplot,".gp.txt");
-  if((ficgp=fopen(optionfilegnuplot,"w"))==NULL) {
-    printf("Problem with file %s",optionfilegnuplot);
-  }
-
-#ifdef windows
-    fprintf(ficgp,"cd \"%s\" \n",pathc);
-#endif
-m=pow(2,cptcoveff);
-  
- /* 1eme*/
-  for (cpt=1; cpt<= nlstate ; cpt ++) {
-   for (k1=1; k1<= m ; k1 ++) {
-
-#ifdef windows
-     fprintf(ficgp,"\nset out \"v%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);
-     fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"vpl%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,fileres,k1-1,k1-1);
-#endif
-#ifdef unix
-fprintf(ficgp,"\nset out \"v%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);
-fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nplot [%.f:%.f] \"vpl%s\" u 1:2 \"\%%lf",ageminpar,fage,fileres);
-#endif
-
-for (i=1; i<= nlstate ; i ++) {
-  if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
-  else fprintf(ficgp," \%%*lf (\%%*lf)");
-}
-    fprintf(ficgp,"\" t\"Stationary prevalence\" w l 0,\"vpl%s\" every :::%d::%d u 1:($2+2*$3) \"\%%lf",fileres,k1-1,k1-1);
-    for (i=1; i<= nlstate ; i ++) {
-  if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
-  else fprintf(ficgp," \%%*lf (\%%*lf)");
-} 
-  fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"vpl%s\" every :::%d::%d u 1:($2-2*$3) \"\%%lf",fileres,k1-1,k1-1); 
-     for (i=1; i<= nlstate ; i ++) {
-  if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
-  else fprintf(ficgp," \%%*lf (\%%*lf)");
-}  
-     fprintf(ficgp,"\" t\"\" w l 1,\"p%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",fileres,k1-1,k1-1,2+4*(cpt-1));
-#ifdef unix
-fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65\n");
-#endif
-   }
-  }
-  /*2 eme*/
-
-  for (k1=1; k1<= m ; k1 ++) { 
-    fprintf(ficgp,"\nset out \"e%s%d.png\" \n",strtok(optionfile, "."),k1);
-    fprintf(ficgp,"set ylabel \"Years\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] ",ageminpar,fage);
-    
-    for (i=1; i<= nlstate+1 ; i ++) {
-      k=2*i;
-      fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:2 \"\%%lf",fileres,k1-1,k1-1);
-      for (j=1; j<= nlstate+1 ; j ++) {
-  if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
-  else fprintf(ficgp," \%%*lf (\%%*lf)");
-}   
-      if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,");
-      else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1);
-    fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2-$3*2) \"\%%lf",fileres,k1-1,k1-1);
-      for (j=1; j<= nlstate+1 ; j ++) {
-	if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
-	else fprintf(ficgp," \%%*lf (\%%*lf)");
-}   
-      fprintf(ficgp,"\" t\"\" w l 0,");
-     fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",fileres,k1-1,k1-1);
-      for (j=1; j<= nlstate+1 ; j ++) {
-  if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
-  else fprintf(ficgp," \%%*lf (\%%*lf)");
-}   
-      if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l 0");
-      else fprintf(ficgp,"\" t\"\" w l 0,");
-    }
-  }
- 
-  /*3eme*/
-
-  for (k1=1; k1<= m ; k1 ++) { 
-    for (cpt=1; cpt<= nlstate ; cpt ++) {
-      k=2+nlstate*(2*cpt-2);
-      fprintf(ficgp,"\nset out \"exp%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);
-      fprintf(ficgp,"set ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"e%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,fileres,k1-1,k1-1,k,cpt);
-      /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
- for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
-fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
-fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d+2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
- for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
-fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
-
-*/
-      for (i=1; i< nlstate ; i ++) {
-	fprintf(ficgp," ,\"e%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",fileres,k1-1,k1-1,k+2*i,cpt,i+1);
-
-      } 
-    }
-  }
- 
-  /* CV preval stat */
-    for (k1=1; k1<= m ; k1 ++) { 
-    for (cpt=1; cpt<nlstate ; cpt ++) {
-      k=3;
-      fprintf(ficgp,"\nset out \"p%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);
-      fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",ageminpar,agemaxpar,fileres,k1,k+cpt+1,k+1);
-
-      for (i=1; i< nlstate ; i ++)
-	fprintf(ficgp,"+$%d",k+i+1);
-      fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);
-      
-      l=3+(nlstate+ndeath)*cpt;
-      fprintf(ficgp,",\"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",fileres,k1,l+cpt+1,l+1);
-      for (i=1; i< nlstate ; i ++) {
-	l=3+(nlstate+ndeath)*cpt;
-	fprintf(ficgp,"+$%d",l+i+1);
-      }
-      fprintf(ficgp,")) t\"prev(%d,%d)\" w l\n",cpt+1,cpt+1);   
-    } 
-  }  
-  
-  /* proba elementaires */
-   for(i=1,jk=1; i <=nlstate; i++){
-    for(k=1; k <=(nlstate+ndeath); k++){
-      if (k != i) {
-	for(j=1; j <=ncovmodel; j++){
-	
-	  fprintf(ficgp,"p%d=%f ",jk,p[jk]);
-	  jk++; 
-	  fprintf(ficgp,"\n");
-	}
-      }
-    }
-   }
-
-   for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/
-     for(jk=1; jk <=m; jk++) {
-       fprintf(ficgp,"\nset out \"pe%s%d%d.png\" \n",strtok(optionfile, "."),jk,ng); 
-       if (ng==2)
-	 fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");
-       else
-	 fprintf(ficgp,"\nset title \"Probability\"\n");
-       fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65\nset log y\nplot  [%.f:%.f] ",ageminpar,agemaxpar);
-       i=1;
-       for(k2=1; k2<=nlstate; k2++) {
-	 k3=i;
-	 for(k=1; k<=(nlstate+ndeath); k++) {
-	   if (k != k2){
-	     if(ng==2)
-	       fprintf(ficgp," %f*exp(p%d+p%d*x",stepm/YEARM,i,i+1);
-	     else
-	       fprintf(ficgp," exp(p%d+p%d*x",i,i+1);
-	     ij=1;
-	     for(j=3; j <=ncovmodel; j++) {
-	       if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {
-		 fprintf(ficgp,"+p%d*%d*x",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);
-		 ij++;
-	       }
-	       else
-		 fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
-	     }
-	     fprintf(ficgp,")/(1");
-	     
-	     for(k1=1; k1 <=nlstate; k1++){   
-	       fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1);
-	       ij=1;
-	       for(j=3; j <=ncovmodel; j++){
-		 if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {
-		   fprintf(ficgp,"+p%d*%d*x",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);
-		   ij++;
-		 }
-		 else
-		   fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
-	       }
-	       fprintf(ficgp,")");
-	     }
-	     fprintf(ficgp,") t \"p%d%d\" ", k2,k);
-	     if ((k+k2)!= (nlstate*2+ndeath)) fprintf(ficgp,",");
-	     i=i+ncovmodel;
-	   }
-	 }
-       }
-     }
-   }
-   fclose(ficgp);
-}  /* end gnuplot */
-
-
-/*************** Moving average **************/
-void movingaverage(double agedeb, double fage,double ageminpar, double ***mobaverage){
-
-  int i, cpt, cptcod;
-    for (agedeb=ageminpar; agedeb<=fage; agedeb++)
-      for (i=1; i<=nlstate;i++)
-	for (cptcod=1;cptcod<=ncodemax[cptcov];cptcod++)
-	  mobaverage[(int)agedeb][i][cptcod]=0.;
-    
-    for (agedeb=ageminpar+4; agedeb<=fage; agedeb++){
-      for (i=1; i<=nlstate;i++){
-	for (cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
-	  for (cpt=0;cpt<=4;cpt++){
-	    mobaverage[(int)agedeb-2][i][cptcod]=mobaverage[(int)agedeb-2][i][cptcod]+probs[(int)agedeb-cpt][i][cptcod];
-	  }
-	  mobaverage[(int)agedeb-2][i][cptcod]=mobaverage[(int)agedeb-2][i][cptcod]/5;
-	}
-      }
-    }
-    
-}
-
-
-/************** Forecasting ******************/
-prevforecast(char fileres[], double anproj1,double mproj1,double jproj1,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anproj2,double p[], int i2){
-  
-  int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;
-  int *popage;
-  double calagedate, agelim, kk1, kk2, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;
-  double *popeffectif,*popcount;
-  double ***p3mat;
-  char fileresf[FILENAMELENGTH];
-
- agelim=AGESUP;
-calagedate=(anproj1+mproj1/12.+jproj1/365.-dateintmean)*YEARM;
-
-  prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate);
- 
- 
-  strcpy(fileresf,"f"); 
-  strcat(fileresf,fileres);
-  if((ficresf=fopen(fileresf,"w"))==NULL) {
-    printf("Problem with forecast resultfile: %s\n", fileresf);
-  }
-  printf("Computing forecasting: result on file '%s' \n", fileresf);
-
-  if (cptcoveff==0) ncodemax[cptcoveff]=1;
-
-  if (mobilav==1) {
-    mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
-    movingaverage(agedeb, fage, ageminpar, mobaverage);
-  }
-
-  stepsize=(int) (stepm+YEARM-1)/YEARM;
-  if (stepm<=12) stepsize=1;
-  
-  agelim=AGESUP;
-  
-  hstepm=1;
-  hstepm=hstepm/stepm; 
-  yp1=modf(dateintmean,&yp);
-  anprojmean=yp;
-  yp2=modf((yp1*12),&yp);
-  mprojmean=yp;
-  yp1=modf((yp2*30.5),&yp);
-  jprojmean=yp;
-  if(jprojmean==0) jprojmean=1;
-  if(mprojmean==0) jprojmean=1;
-  
-  fprintf(ficresf,"# Estimated date of observed prevalence: %.lf/%.lf/%.lf ",jprojmean,mprojmean,anprojmean); 
-  
-  for(cptcov=1;cptcov<=i2;cptcov++){
-    for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
-      k=k+1;
-      fprintf(ficresf,"\n#******");
-      for(j=1;j<=cptcoveff;j++) {
-	fprintf(ficresf," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
-      }
-      fprintf(ficresf,"******\n");
-      fprintf(ficresf,"# StartingAge FinalAge");
-      for(j=1; j<=nlstate+ndeath;j++) fprintf(ficresf," P.%d",j);
-      
-      
-      for (cpt=0; cpt<=(anproj2-anproj1);cpt++) { 
-	fprintf(ficresf,"\n");
-	fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+cpt);   
-
-     	for (agedeb=(fage-((int)calagedate %12/12.)); agedeb>=(ageminpar-((int)calagedate %12)/12.); agedeb--){ 
-	  nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); 
-	  nhstepm = nhstepm/hstepm; 
-	  
-	  p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
-	  oldm=oldms;savm=savms;
-	  hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
-	
-	  for (h=0; h<=nhstepm; h++){
-	    if (h==(int) (calagedate+YEARM*cpt)) {
-	      fprintf(ficresf,"\n %.f %.f ",anproj1+cpt,agedeb+h*hstepm/YEARM*stepm);
-	    } 
-	    for(j=1; j<=nlstate+ndeath;j++) {
-	      kk1=0.;kk2=0;
-	      for(i=1; i<=nlstate;i++) {	      
-		if (mobilav==1) 
-		  kk1=kk1+p3mat[i][j][h]*mobaverage[(int)agedeb+1][i][cptcod];
-		else {
-		  kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod];
-		}
-		
-	      }
-	      if (h==(int)(calagedate+12*cpt)){
-		fprintf(ficresf," %.3f", kk1);
-	     		
-	      }
-	    }
-	  }
-	  free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
-	}
-      }
-    }
-  }
-       
-  if (mobilav==1) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
-
-  fclose(ficresf);
-}
-/************** Forecasting ******************/
-populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){
-  
-  int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;
-  int *popage;
-  double calagedate, agelim, kk1, kk2, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;
-  double *popeffectif,*popcount;
-  double ***p3mat,***tabpop,***tabpopprev;
-  char filerespop[FILENAMELENGTH];
-
-  tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
-  tabpopprev= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
-  agelim=AGESUP;
-  calagedate=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM;
-  
-  prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate);
-  
-  
-  strcpy(filerespop,"pop"); 
-  strcat(filerespop,fileres);
-  if((ficrespop=fopen(filerespop,"w"))==NULL) {
-    printf("Problem with forecast resultfile: %s\n", filerespop);
-  }
-  printf("Computing forecasting: result on file '%s' \n", filerespop);
-
-  if (cptcoveff==0) ncodemax[cptcoveff]=1;
-
-  if (mobilav==1) {
-    mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
-    movingaverage(agedeb, fage, ageminpar, mobaverage);
-  }
-
-  stepsize=(int) (stepm+YEARM-1)/YEARM;
-  if (stepm<=12) stepsize=1;
-  
-  agelim=AGESUP;
-  
-  hstepm=1;
-  hstepm=hstepm/stepm; 
-  
-  if (popforecast==1) {
-    if((ficpop=fopen(popfile,"r"))==NULL) {
-      printf("Problem with population file : %s\n",popfile);exit(0);
-    } 
-    popage=ivector(0,AGESUP);
-    popeffectif=vector(0,AGESUP);
-    popcount=vector(0,AGESUP);
-    
-    i=1;   
-    while ((c=fscanf(ficpop,"%d %lf\n",&popage[i],&popcount[i])) != EOF) i=i+1;
-   
-    imx=i;
-    for (i=1; i<imx;i++) popeffectif[popage[i]]=popcount[i];
-  }
-
-  for(cptcov=1;cptcov<=i2;cptcov++){
-   for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
-      k=k+1;
-      fprintf(ficrespop,"\n#******");
-      for(j=1;j<=cptcoveff;j++) {
-	fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
-      }
-      fprintf(ficrespop,"******\n");
-      fprintf(ficrespop,"# Age");
-      for(j=1; j<=nlstate+ndeath;j++) fprintf(ficrespop," P.%d",j);
-      if (popforecast==1)  fprintf(ficrespop," [Population]");
-      
-      for (cpt=0; cpt<=0;cpt++) { 
-	fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt);   
-	
-     	for (agedeb=(fage-((int)calagedate %12/12.)); agedeb>=(ageminpar-((int)calagedate %12)/12.); agedeb--){ 
-	  nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); 
-	  nhstepm = nhstepm/hstepm; 
-	  
-	  p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
-	  oldm=oldms;savm=savms;
-	  hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
-	
-	  for (h=0; h<=nhstepm; h++){
-	    if (h==(int) (calagedate+YEARM*cpt)) {
-	      fprintf(ficrespop,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm);
-	    } 
-	    for(j=1; j<=nlstate+ndeath;j++) {
-	      kk1=0.;kk2=0;
-	      for(i=1; i<=nlstate;i++) {	      
-		if (mobilav==1) 
-		  kk1=kk1+p3mat[i][j][h]*mobaverage[(int)agedeb+1][i][cptcod];
-		else {
-		  kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod];
-		}
-	      }
-	      if (h==(int)(calagedate+12*cpt)){
-		tabpop[(int)(agedeb)][j][cptcod]=kk1;
-		  /*fprintf(ficrespop," %.3f", kk1);
-		    if (popforecast==1) fprintf(ficrespop," [%.f]", kk1*popeffectif[(int)agedeb+1]);*/
-	      }
-	    }
-	    for(i=1; i<=nlstate;i++){
-	      kk1=0.;
-		for(j=1; j<=nlstate;j++){
-		  kk1= kk1+tabpop[(int)(agedeb)][j][cptcod]; 
-		}
-		  tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1*popeffectif[(int)(agedeb+(calagedate+12*cpt)*hstepm/YEARM*stepm-1)];
-	    }
-
-	    if (h==(int)(calagedate+12*cpt)) for(j=1; j<=nlstate;j++) 
-	      fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]);
-	  }
-	  free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
-	}
-      }
- 
-  /******/
-
-      for (cpt=1; cpt<=(anpyram1-anpyram);cpt++) { 
-	fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt);   
-	for (agedeb=(fage-((int)calagedate %12/12.)); agedeb>=(ageminpar-((int)calagedate %12)/12.); agedeb--){ 
-	  nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); 
-	  nhstepm = nhstepm/hstepm; 
-	  
-	  p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
-	  oldm=oldms;savm=savms;
-	  hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
-	  for (h=0; h<=nhstepm; h++){
-	    if (h==(int) (calagedate+YEARM*cpt)) {
-	      fprintf(ficresf,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm);
-	    } 
-	    for(j=1; j<=nlstate+ndeath;j++) {
-	      kk1=0.;kk2=0;
-	      for(i=1; i<=nlstate;i++) {	      
-		kk1=kk1+p3mat[i][j][h]*tabpopprev[(int)agedeb+1][i][cptcod];	
-	      }
-	      if (h==(int)(calagedate+12*cpt)) fprintf(ficresf," %15.2f", kk1);	
-	    }
-	  }
-	  free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
-	}
-      }
-   } 
-  }
- 
-  if (mobilav==1) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
-
-  if (popforecast==1) {
-    free_ivector(popage,0,AGESUP);
-    free_vector(popeffectif,0,AGESUP);
-    free_vector(popcount,0,AGESUP);
-  }
-  free_ma3x(tabpop,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
-  free_ma3x(tabpopprev,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
-  fclose(ficrespop);
-}
-
-/***********************************************/
-/**************** Main Program *****************/
-/***********************************************/
-
-int main(int argc, char *argv[])
-{
-
-  int i,j, k, n=MAXN,iter,m,size,cptcode, cptcod;
-  double agedeb, agefin,hf;
-  double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20;
-
-  double fret;
-  double **xi,tmp,delta;
-
-  double dum; /* Dummy variable */
-  double ***p3mat;
-  int *indx;
-  char line[MAXLINE], linepar[MAXLINE];
-  char title[MAXLINE];
-  char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH],  filerespl[FILENAMELENGTH];
-  char optionfilext[10], optionfilefiname[FILENAMELENGTH], optionfilehtm[FILENAMELENGTH], optionfilegnuplot[FILENAMELENGTH], plotcmd[FILENAMELENGTH];
-  
-  char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];
-
-  char filerest[FILENAMELENGTH];
-  char fileregp[FILENAMELENGTH];
-  char popfile[FILENAMELENGTH];
-  char path[80],pathc[80],pathcd[80],pathtot[80],model[20];
-  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,**adl,*tab; 
-  int mobilav=0,popforecast=0;
-  int hstepm, nhstepm;
-  double jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,jpyram, mpyram,anpyram,jpyram1, mpyram1,anpyram1, calagedate;
-
-  double bage, fage, age, agelim, agebase;
-  double ftolpl=FTOL;
-  double **prlim;
-  double *severity;
-  double ***param; /* Matrix of parameters */
-  double  *p;
-  double **matcov; /* Matrix of covariance */
-  double ***delti3; /* Scale */
-  double *delti; /* Scale */
-  double ***eij, ***vareij;
-  double **varpl; /* Variances of prevalence limits by age */
-  double *epj, vepp;
-  double kk1, kk2;
-  double dateprev1, dateprev2,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2;
-  
-
-  char version[80]="Imach version 0.8f, May 2002, INED-EUROREVES ";
-  char *alph[]={"a","a","b","c","d","e"}, str[4];
-
-
-  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];
- 
-  /* long total_usecs;
-  struct timeval start_time, end_time;
-  
-  gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */
-  getcwd(pathcd, size);
-
-  printf("\n%s",version);
-  if(argc <=1){
-    printf("\nEnter the parameter file name: ");
-    scanf("%s",pathtot);
-  }
-  else{
-    strcpy(pathtot,argv[1]);
-  }
-  /*if(getcwd(pathcd, 80)!= NULL)printf ("Error pathcd\n");*/
-  /*cygwin_split_path(pathtot,path,optionfile);
-    printf("pathtot=%s, path=%s, optionfile=%s\n",pathtot,path,optionfile);*/
-  /* cutv(path,optionfile,pathtot,'\\');*/
-
-  split(pathtot,path,optionfile,optionfilext,optionfilefiname);
-   printf("pathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);
-  chdir(path);
-  replace(pathc,path);
-
-/*-------- arguments in the command line --------*/
-
-  strcpy(fileres,"r");
-  strcat(fileres, optionfilefiname);
-  strcat(fileres,".txt");    /* Other files have txt extension */
-
-  /*---------arguments file --------*/
-
-  if((ficpar=fopen(optionfile,"r"))==NULL)    {
-    printf("Problem with optionfile %s\n",optionfile);
-    goto end;
-  }
-
-  strcpy(filereso,"o");
-  strcat(filereso,fileres);
-  if((ficparo=fopen(filereso,"w"))==NULL) {
-    printf("Problem with Output resultfile: %s\n", filereso);goto end;
-  }
-
-  /* Reads comments: lines beginning with '#' */
-  while((c=getc(ficpar))=='#' && c!= EOF){
-    ungetc(c,ficpar);
-    fgets(line, MAXLINE, ficpar);
-    puts(line);
-    fputs(line,ficparo);
-  }
-  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\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);
-while((c=getc(ficpar))=='#' && c!= EOF){
-    ungetc(c,ficpar);
-    fgets(line, MAXLINE, ficpar);
-    puts(line);
-    fputs(line,ficparo);
-  }
-  ungetc(c,ficpar);
-  
-   
-  covar=matrix(0,NCOVMAX,1,n); 
-  cptcovn=0; 
-  if (strlen(model)>1) cptcovn=nbocc(model,'+')+1;
-
-  ncovmodel=2+cptcovn;
-  nvar=ncovmodel-1; /* Suppressing age as a basic covariate */
-  
-  /* Read guess parameters */
-  /* Reads comments: lines beginning with '#' */
-  while((c=getc(ficpar))=='#' && c!= EOF){
-    ungetc(c,ficpar);
-    fgets(line, MAXLINE, ficpar);
-    puts(line);
-    fputs(line,ficparo);
-  }
-  ungetc(c,ficpar);
-  
-  param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
-    for(i=1; i <=nlstate; i++)
-    for(j=1; j <=nlstate+ndeath-1; j++){
-      fscanf(ficpar,"%1d%1d",&i1,&j1);
-      fprintf(ficparo,"%1d%1d",i1,j1);
-      printf("%1d%1d",i,j);
-      for(k=1; k<=ncovmodel;k++){
-	fscanf(ficpar," %lf",&param[i][j][k]);
-	printf(" %lf",param[i][j][k]);
-	fprintf(ficparo," %lf",param[i][j][k]);
-      }
-      fscanf(ficpar,"\n");
-      printf("\n");
-      fprintf(ficparo,"\n");
-    }
-  
-    npar= (nlstate+ndeath-1)*nlstate*ncovmodel;
-
-  p=param[1][1];
-  
-  /* Reads comments: lines beginning with '#' */
-  while((c=getc(ficpar))=='#' && c!= EOF){
-    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);
-  delti=vector(1,npar); /* Scale of each paramater (output from hesscov) */
-  for(i=1; i <=nlstate; i++){
-    for(j=1; j <=nlstate+ndeath-1; j++){
-      fscanf(ficpar,"%1d%1d",&i1,&j1);
-      printf("%1d%1d",i,j);
-      fprintf(ficparo,"%1d%1d",i1,j1);
-      for(k=1; k<=ncovmodel;k++){
-	fscanf(ficpar,"%le",&delti3[i][j][k]);
-	printf(" %le",delti3[i][j][k]);
-	fprintf(ficparo," %le",delti3[i][j][k]);
-      }
-      fscanf(ficpar,"\n");
-      printf("\n");
-      fprintf(ficparo,"\n");
-    }
-  }
-  delti=delti3[1][1];
-  
-  /* Reads comments: lines beginning with '#' */
-  while((c=getc(ficpar))=='#' && c!= EOF){
-    ungetc(c,ficpar);
-    fgets(line, MAXLINE, ficpar);
-    puts(line);
-    fputs(line,ficparo);
-  }
-  ungetc(c,ficpar);
-  
-  matcov=matrix(1,npar,1,npar);
-  for(i=1; i <=npar; i++){
-    fscanf(ficpar,"%s",&str);
-    printf("%s",str);
-    fprintf(ficparo,"%s",str);
-    for(j=1; j <=i; j++){
-      fscanf(ficpar," %le",&matcov[i][j]);
-      printf(" %.5le",matcov[i][j]);
-      fprintf(ficparo," %.5le",matcov[i][j]);
-    }
-    fscanf(ficpar,"\n");
-    printf("\n");
-    fprintf(ficparo,"\n");
-  }
-  for(i=1; i <=npar; i++)
-    for(j=i+1;j<=npar;j++)
-      matcov[i][j]=matcov[j][i];
-   
-  printf("\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(ficres,"#%s\n",version);
-    
-    /*-------- data file ----------*/
-    if((fic=fopen(datafile,"r"))==NULL)    {
-      printf("Problem with datafile: %s\n", datafile);goto end;
-    }
-
-    n= lastobs;
-    severity = vector(1,maxwav);
-    outcome=imatrix(1,maxwav+1,1,n);
-    num=ivector(1,n);
-    moisnais=vector(1,n);
-    annais=vector(1,n);
-    moisdc=vector(1,n);
-    andc=vector(1,n);
-    agedc=vector(1,n);
-    cod=ivector(1,n);
-    weight=vector(1,n);
-    for(i=1;i<=n;i++) weight[i]=1.0; /* Equal weights, 1 by default */
-    mint=matrix(1,maxwav,1,n);
-    anint=matrix(1,maxwav,1,n);
-    s=imatrix(1,maxwav+1,1,n);
-    adl=imatrix(1,maxwav+1,1,n);    
-    tab=ivector(1,NCOVMAX);
-    ncodemax=ivector(1,8);
-
-    i=1;
-    while (fgets(line, MAXLINE, fic) != NULL)    {
-      if ((i >= firstobs) && (i <=lastobs)) {
-	
-	for (j=maxwav;j>=1;j--){
-	  cutv(stra, strb,line,' '); s[j][i]=atoi(strb); 
-	  strcpy(line,stra);
-	  cutv(stra, strb,line,'/'); anint[j][i]=(double)(atoi(strb)); strcpy(line,stra);
-	  cutv(stra, strb,line,' '); mint[j][i]=(double)(atoi(strb)); strcpy(line,stra);
-	}
-	
-	cutv(stra, strb,line,'/'); andc[i]=(double)(atoi(strb)); strcpy(line,stra);
-	cutv(stra, strb,line,' '); moisdc[i]=(double)(atoi(strb)); strcpy(line,stra);
-
-	cutv(stra, strb,line,'/'); annais[i]=(double)(atoi(strb)); strcpy(line,stra);
-	cutv(stra, strb,line,' '); moisnais[i]=(double)(atoi(strb)); strcpy(line,stra);
-
-	cutv(stra, strb,line,' '); weight[i]=(double)(atoi(strb)); strcpy(line,stra);
-	for (j=ncovcol;j>=1;j--){
-	  cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra);
-	} 
-	num[i]=atol(stra);
-	
-	/*if((s[2][i]==2) && (s[3][i]==-1)&&(s[4][i]==9)){
-	  printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]),weight[i], (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]),  (mint[2][i]), (anint[2][i]), (s[2][i]),  (mint[3][i]), (anint[3][i]), (s[3][i]),  (mint[4][i]), (anint[4][i]), (s[4][i])); ij=ij+1;}*/
-
-	i=i+1;
-      }
-    } 
-    /* printf("ii=%d", ij);
-       scanf("%d",i);*/
-  imx=i-1; /* Number of individuals */
-
-  /* for (i=1; i<=imx; i++){
-    if ((s[1][i]==3) && (s[2][i]==2)) s[2][i]=3;
-    if ((s[2][i]==3) && (s[3][i]==2)) s[3][i]=3;
-    if ((s[3][i]==3) && (s[4][i]==2)) s[4][i]=3;
-    }*/
-   /*  for (i=1; i<=imx; i++){
-     if (s[4][i]==9)  s[4][i]=-1; 
-     printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]), (weight[i]), (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]),  (mint[2][i]), (anint[2][i]), (s[2][i]),  (mint[3][i]), (anint[3][i]), (s[3][i]),  (mint[4][i]), (anint[4][i]), (s[4][i]));}*/
-  
- 
-  /* Calculation of the number of parameter from char model*/
-  Tvar=ivector(1,15); 
-  Tprod=ivector(1,15); 
-  Tvaraff=ivector(1,15); 
-  Tvard=imatrix(1,15,1,2);
-  Tage=ivector(1,15);      
-   
-  if (strlen(model) >1){
-    j=0, j1=0, k1=1, k2=1;
-    j=nbocc(model,'+');
-    j1=nbocc(model,'*');
-    cptcovn=j+1;
-    cptcovprod=j1;
-    
-    strcpy(modelsav,model); 
-    if ((strcmp(model,"age")==0) || (strcmp(model,"age*age")==0)){
-      printf("Error. Non available option model=%s ",model);
-      goto end;
-    }
-    
-    for(i=(j+1); i>=1;i--){
-      cutv(stra,strb,modelsav,'+');
-      if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); 
-      /*      printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/
-      /*scanf("%d",i);*/
-      if (strchr(strb,'*')) {
-	cutv(strd,strc,strb,'*');
-	if (strcmp(strc,"age")==0) {
-	  cptcovprod--;
-	  cutv(strb,stre,strd,'V');
-	  Tvar[i]=atoi(stre);
-	  cptcovage++;
-	    Tage[cptcovage]=i;
-	    /*printf("stre=%s ", stre);*/
-	}
-	else if (strcmp(strd,"age")==0) {
-	  cptcovprod--;
-	  cutv(strb,stre,strc,'V');
-	  Tvar[i]=atoi(stre);
-	  cptcovage++;
-	  Tage[cptcovage]=i;
-	}
-	else {
-	  cutv(strb,stre,strc,'V');
-	  Tvar[i]=ncovcol+k1;
-	  cutv(strb,strc,strd,'V'); 
-	  Tprod[k1]=i;
-	  Tvard[k1][1]=atoi(strc);
-	  Tvard[k1][2]=atoi(stre);
-	  Tvar[cptcovn+k2]=Tvard[k1][1];
-	  Tvar[cptcovn+k2+1]=Tvard[k1][2]; 
-	  for (k=1; k<=lastobs;k++) 
-	    covar[ncovcol+k1][k]=covar[atoi(stre)][k]*covar[atoi(strc)][k];
-	  k1++;
-	  k2=k2+2;
-	}
-      }
-      else {
-	/*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/
-       /*  scanf("%d",i);*/
-      cutv(strd,strc,strb,'V');
-      Tvar[i]=atoi(strc);
-      }
-      strcpy(modelsav,stra);  
-      /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);
-	scanf("%d",i);*/
-    }
-}
-  
-  /* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]);
-  printf("cptcovprod=%d ", cptcovprod);
-  scanf("%d ",i);*/
-    fclose(fic);
-
-    /*  if(mle==1){*/
-    if (weightopt != 1) { /* Maximisation without weights*/
-      for(i=1;i<=n;i++) weight[i]=1.0;
-    }
-    /*-calculation of age at interview from date of interview and age at death -*/
-    agev=matrix(1,maxwav,1,imx);
-
-    for (i=1; i<=imx; i++) {
-      for(m=2; (m<= maxwav); m++) {
-       if ((mint[m][i]== 99) && (s[m][i] <= nlstate)){
-	 anint[m][i]=9999;
-	 s[m][i]=-1;
-       }
-     if(moisdc[i]==99 && andc[i]==9999 & s[m][i]>nlstate) s[m][i]=-1;
-      }
-    }
-
-    for (i=1; i<=imx; i++)  {
-      agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);
-      for(m=1; (m<= maxwav); m++){
-	if(s[m][i] >0){
-	  if (s[m][i] >= nlstate+1) {
-	    if(agedc[i]>0)
-	      if(moisdc[i]!=99 && andc[i]!=9999)
-		agev[m][i]=agedc[i];
-	    /*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/
-	   else {
-	      if (andc[i]!=9999){
-	      printf("Warning negative age at death: %d line:%d\n",num[i],i);
-	      agev[m][i]=-1;
-	      }
-	    }
-	  }
-	  else if(s[m][i] !=9){ /* Should no more exist */
-	    agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);
-	    if(mint[m][i]==99 || anint[m][i]==9999)
-	      agev[m][i]=1;
-	    else if(agev[m][i] <agemin){ 
-	      agemin=agev[m][i];
-	      /*printf(" Min anint[%d][%d]=%.2f annais[%d]=%.2f, agemin=%.2f\n",m,i,anint[m][i], i,annais[i], agemin);*/
-	    }
-	    else if(agev[m][i] >agemax){
-	      agemax=agev[m][i];
-	     /* printf(" anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.0f\n",m,i,anint[m][i], i,annais[i], agemax);*/
-	    }
-	    /*agev[m][i]=anint[m][i]-annais[i];*/
-	    /*	 agev[m][i] = age[i]+2*m;*/
-	  }
-	  else { /* =9 */
-	    agev[m][i]=1;
-	    s[m][i]=-1;
-	  }
-	}
-	else /*= 0 Unknown */
-	  agev[m][i]=1;
-      }
-    
-    }
-    for (i=1; i<=imx; i++)  {
-      for(m=1; (m<= maxwav); m++){
-	if (s[m][i] > (nlstate+ndeath)) {
-	  printf("Error: Wrong value in nlstate or ndeath\n");	
-	  goto end;
-	}
-      }
-    }
-
-printf("Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);
-
-    free_vector(severity,1,maxwav);
-    free_imatrix(outcome,1,maxwav+1,1,n);
-    free_vector(moisnais,1,n);
-    free_vector(annais,1,n);
-    /* free_matrix(mint,1,maxwav,1,n);
-       free_matrix(anint,1,maxwav,1,n);*/
-    free_vector(moisdc,1,n);
-    free_vector(andc,1,n);
-
-   
-    wav=ivector(1,imx);
-    dh=imatrix(1,lastpass-firstpass+1,1,imx);
-    mw=imatrix(1,lastpass-firstpass+1,1,imx);
-   
-    /* Concatenates waves */
-      concatwav(wav, dh, mw, s, agedc, agev,  firstpass, lastpass, imx, nlstate, stepm);
-
-
-      Tcode=ivector(1,100);
-      nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); 
-      ncodemax[1]=1;
-      if (cptcovn > 0) tricode(Tvar,nbcode,imx);
-      
-   codtab=imatrix(1,100,1,10);
-   h=0;
-   m=pow(2,cptcoveff);
- 
-   for(k=1;k<=cptcoveff; k++){
-     for(i=1; i <=(m/pow(2,k));i++){
-       for(j=1; j <= ncodemax[k]; j++){
-	 for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){
-	   h++;
-	   if (h>m) h=1;codtab[h][k]=j;codtab[h][Tvar[k]]=j;
-	   /*  printf("h=%d k=%d j=%d codtab[h][k]=%d tvar[k]=%d \n",h, k,j,codtab[h][k],Tvar[k]);*/
-	 } 
-       }
-     }
-   } 
-   /* printf("codtab[1][2]=%d codtab[2][2]=%d",codtab[1][2],codtab[2][2]); 
-      codtab[1][2]=1;codtab[2][2]=2; */
-   /* for(i=1; i <=m ;i++){ 
-      for(k=1; k <=cptcovn; k++){
-      printf("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff);
-      }
-      printf("\n");
-      }
-      scanf("%d",i);*/
-    
-   /* Calculates basic frequencies. Computes observed prevalence at single age
-       and prints on file fileres'p'. */
-
-    
-   
-    pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
-    oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
-    newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
-    savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
-    oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */
-     
-    /* For Powell, parameters are in a vector p[] starting at p[1]
-       so we point p on param[1][1] so that p[1] maps on param[1][1][1] */
-    p=param[1][1]; /* *(*(*(param +1)+1)+0) */
-
-    if(mle==1){
-    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);
-  
-
-   jk=1;
-   fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
-   printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
-   for(i=1,jk=1; i <=nlstate; i++){
-     for(k=1; k <=(nlstate+ndeath); k++){
-       if (k != i) 
-	 {
-	   printf("%d%d ",i,k);
-	   fprintf(ficres,"%1d%1d ",i,k);
-	   for(j=1; j <=ncovmodel; j++){
-	     printf("%f ",p[jk]);
-	     fprintf(ficres,"%f ",p[jk]);
-	     jk++; 
-	   }
-	   printf("\n");
-	   fprintf(ficres,"\n");
-	 }
-     }
-   }
- if(mle==1){
-    /* Computing hessian and covariance matrix */
-    ftolhess=ftol; /* Usually correct */
-    hesscov(matcov, p, npar, delti, ftolhess, func);
- }
-    fprintf(ficres,"# Scales (for hessian or gradient estimation)\n");
-    printf("# Scales (for hessian or gradient estimation)\n");
-     for(i=1,jk=1; i <=nlstate; i++){
-      for(j=1; j <=nlstate+ndeath; j++){
-	if (j!=i) {
-	  fprintf(ficres,"%1d%1d",i,j);
-	  printf("%1d%1d",i,j);
-	  for(k=1; k<=ncovmodel;k++){
-	    printf(" %.5e",delti[jk]);
-	    fprintf(ficres," %.5e",delti[jk]);
-	    jk++;
-	  }
-	  printf("\n");
-	  fprintf(ficres,"\n");
-	}
-      }
-     }
-    
-    k=1;
-    fprintf(ficres,"# Covariance 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");
-    for(i=1;i<=npar;i++){
-      /*  if (k>nlstate) k=1;
-      i1=(i-1)/(ncovmodel*nlstate)+1; 
-      fprintf(ficres,"%s%d%d",alph[k],i1,tab[i]);
-      printf("%s%d%d",alph[k],i1,tab[i]);*/
-      fprintf(ficres,"%3d",i);
-      printf("%3d",i);
-      for(j=1; j<=i;j++){
-	fprintf(ficres," %.5e",matcov[i][j]);
-	printf(" %.5e",matcov[i][j]);
-      }
-      fprintf(ficres,"\n");
-      printf("\n");
-      k++;
-    }
-    
-    while((c=getc(ficpar))=='#' && c!= EOF){
-      ungetc(c,ficpar);
-      fgets(line, MAXLINE, ficpar);
-      puts(line);
-      fputs(line,ficparo);
-    }
-    ungetc(c,ficpar);
-    estepm=0;
-    fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm);
-    if (estepm==0 || estepm < stepm) estepm=stepm;
-    if (fage <= 2) {
-      bage = ageminpar;
-      fage = agemaxpar;
-    }
-    
-    fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n");
-    fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);
-    fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);
- 
-    while((c=getc(ficpar))=='#' && c!= EOF){
-    ungetc(c,ficpar);
-    fgets(line, MAXLINE, ficpar);
-    puts(line);
-    fputs(line,ficparo);
-  }
-  ungetc(c,ficpar);
-  
-  fscanf(ficpar,"begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf\n",&jprev1, &mprev1,&anprev1,&jprev2, &mprev2,&anprev2);
-  fprintf(ficparo,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);
- fprintf(ficres,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);
-     
-  while((c=getc(ficpar))=='#' && c!= EOF){
-    ungetc(c,ficpar);
-    fgets(line, MAXLINE, ficpar);
-    puts(line);
-    fputs(line,ficparo);
-  }
-  ungetc(c,ficpar);
- 
-
-   dateprev1=anprev1+mprev1/12.+jprev1/365.;
-   dateprev2=anprev2+mprev2/12.+jprev2/365.;
-
-  fscanf(ficpar,"pop_based=%d\n",&popbased);
-  fprintf(ficparo,"pop_based=%d\n",popbased);   
-  fprintf(ficres,"pop_based=%d\n",popbased);   
-  
-  while((c=getc(ficpar))=='#' && c!= EOF){
-    ungetc(c,ficpar);
-    fgets(line, MAXLINE, ficpar);
-    puts(line);
-    fputs(line,ficparo);
-  }
-  ungetc(c,ficpar);
-
-  fscanf(ficpar,"starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mov_average=%d\n",&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilav);
-fprintf(ficparo,"starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mov_average=%d\n",jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilav);
-fprintf(ficres,"starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mov_average=%d\n",jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilav);
-
-
-while((c=getc(ficpar))=='#' && c!= EOF){
-    ungetc(c,ficpar);
-    fgets(line, MAXLINE, ficpar);
-    puts(line);
-    fputs(line,ficparo);
-  }
-  ungetc(c,ficpar);
-
-  fscanf(ficpar,"popforecast=%d popfile=%s popfiledate=%lf/%lf/%lf last-popfiledate=%lf/%lf/%lf\n",&popforecast,popfile,&jpyram,&mpyram,&anpyram,&jpyram1,&mpyram1,&anpyram1);
-  fprintf(ficparo,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);
-  fprintf(ficres,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);
-
- freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);
-
-/*------------ gnuplot -------------*/
- printinggnuplot(fileres,optionfilefiname,optionfile,optionfilegnuplot, ageminpar,agemaxpar,fage, pathc,p);
- 
-/*------------ free_vector  -------------*/
- chdir(path);
- 
- free_ivector(wav,1,imx);
- free_imatrix(dh,1,lastpass-firstpass+1,1,imx);
- free_imatrix(mw,1,lastpass-firstpass+1,1,imx);   
- free_ivector(num,1,n);
- free_vector(agedc,1,n);
- /*free_matrix(covar,1,NCOVMAX,1,n);*/
- fclose(ficparo);
- fclose(ficres);
-
-/*--------- index.htm --------*/
-
- printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,model,imx,jmin,jmax,jmean,optionfile,optionfilehtm,rfileres,optionfilegnuplot,version,popforecast,estepm,jprev1,mprev1,anprev1,jprev2,mprev2,anprev2);
-
-  
-  /*--------------- Prevalence limit --------------*/
-  
-  strcpy(filerespl,"pl");
-  strcat(filerespl,fileres);
-  if((ficrespl=fopen(filerespl,"w"))==NULL) {
-    printf("Problem with Prev limit resultfile: %s\n", filerespl);goto end;
-  }
-  printf("Computing prevalence limit: result on file '%s' \n", filerespl);
-  fprintf(ficrespl,"#Prevalence limit\n");
-  fprintf(ficrespl,"#Age ");
-  for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);
-  fprintf(ficrespl,"\n");
-  
-  prlim=matrix(1,nlstate,1,nlstate);
-  pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
-  oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
-  newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
-  savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
-  oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */
-  k=0;
-  agebase=ageminpar;
-  agelim=agemaxpar;
-  ftolpl=1.e-10;
-  i1=cptcoveff;
-  if (cptcovn < 1){i1=1;}
-
-  for(cptcov=1;cptcov<=i1;cptcov++){
-    for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
-	k=k+1;
-	/*printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,Tcode[cptcode],codtab[cptcod][cptcov]);*/
-	fprintf(ficrespl,"\n#******");
-	for(j=1;j<=cptcoveff;j++) 
-	  fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
-	fprintf(ficrespl,"******\n");
-	
-	for (age=agebase; age<=agelim; age++){
-	  prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
-	  fprintf(ficrespl,"%.0f",age );
-	  for(i=1; i<=nlstate;i++)
-	  fprintf(ficrespl," %.5f", prlim[i][i]);
-	  fprintf(ficrespl,"\n");
-	}
-      }
-    }
-  fclose(ficrespl);
-
-  /*------------- h Pij x at various ages ------------*/
-  
-  strcpy(filerespij,"pij");  strcat(filerespij,fileres);
-  if((ficrespij=fopen(filerespij,"w"))==NULL) {
-    printf("Problem with Pij resultfile: %s\n", filerespij);goto end;
-  }
-  printf("Computing pij: result on file '%s' \n", filerespij);
-  
-  stepsize=(int) (stepm+YEARM-1)/YEARM;
-  /*if (stepm<=24) stepsize=2;*/
-
-  agelim=AGESUP;
-  hstepm=stepsize*YEARM; /* Every year of age */
-  hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */ 
-  
-  k=0;
-  for(cptcov=1;cptcov<=i1;cptcov++){
-    for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
-      k=k+1;
-	fprintf(ficrespij,"\n#****** ");
-	for(j=1;j<=cptcoveff;j++) 
-	  fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
-	fprintf(ficrespij,"******\n");
-	
-	for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */
-	  nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ 
-	  nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
-	  p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
-	  oldm=oldms;savm=savms;
-	  hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
-	  fprintf(ficrespij,"# Age");
-	  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 %.0f %.0f",k,agedeb, agedeb+ h*hstepm/YEARM*stepm );
-	    for(i=1; i<=nlstate;i++)
-	      for(j=1; j<=nlstate+ndeath;j++)
-		fprintf(ficrespij," %.5f", p3mat[i][j][h]);
-	    fprintf(ficrespij,"\n");
-	     }
-	  free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
-	  fprintf(ficrespij,"\n");
-	}
-    }
-  }
-
-  varprob(fileres, matcov, p, delti, nlstate, (int) bage, (int) fage,k,Tvar,nbcode, ncodemax);
-
-  fclose(ficrespij);
-
-
-  /*---------- Forecasting ------------------*/
-  if((stepm == 1) && (strcmp(model,".")==0)){
-    prevforecast(fileres, anproj1,mproj1,jproj1, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anproj2,p, i1);
-    if (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);
-  } 
-  else{
-    erreur=108;
-    printf("Warning %d!! You can only forecast the prevalences if the optimization\n  has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model);
-  }
-  
-
-  /*---------- Health expectancies and variances ------------*/
-
-  strcpy(filerest,"t");
-  strcat(filerest,fileres);
-  if((ficrest=fopen(filerest,"w"))==NULL) {
-    printf("Problem with total LE resultfile: %s\n", filerest);goto end;
-  }
-  printf("Computing Total LEs with variances: file '%s' \n", filerest); 
-
-
-  strcpy(filerese,"e");
-  strcat(filerese,fileres);
-  if((ficreseij=fopen(filerese,"w"))==NULL) {
-    printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
-  }
-  printf("Computing Health Expectancies: result on file '%s' \n", filerese);
-
- strcpy(fileresv,"v");
-  strcat(fileresv,fileres);
-  if((ficresvij=fopen(fileresv,"w"))==NULL) {
-    printf("Problem with variance resultfile: %s\n", fileresv);exit(0);
-  }
-  printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
-  calagedate=-1;
-prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate);
-
-  k=0;
-  for(cptcov=1;cptcov<=i1;cptcov++){
-    for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
-      k=k+1;
-      fprintf(ficrest,"\n#****** ");
-      for(j=1;j<=cptcoveff;j++) 
-	fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
-      fprintf(ficrest,"******\n");
-
-      fprintf(ficreseij,"\n#****** ");
-      for(j=1;j<=cptcoveff;j++) 
-	fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
-      fprintf(ficreseij,"******\n");
-
-      fprintf(ficresvij,"\n#****** ");
-      for(j=1;j<=cptcoveff;j++) 
-	fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
-      fprintf(ficresvij,"******\n");
-
-      eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
-      oldm=oldms;savm=savms;
-      evsij(fileres, eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov);  
- 
-      vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
-      oldm=oldms;savm=savms;
-       varevsij(fileres, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm);
-    
-
- 
-      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) {
-	  for(i=1; i<=nlstate;i++)
-	    prlim[i][i]=probs[(int)age][i][k];
-	}
-	
-	fprintf(ficrest," %4.0f",age);
-	for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){
-	  for(i=1, epj[j]=0.;i <=nlstate;i++) {
-	    epj[j] += prlim[i][i]*eij[i][j][(int)age];
-	    /*  printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]);*/
-	  }
-	  epj[nlstate+1] +=epj[j];
-	}
-
-	for(i=1, vepp=0.;i <=nlstate;i++)
-	  for(j=1;j <=nlstate;j++)
-	    vepp += vareij[i][j][(int)age];
-	fprintf(ficrest," %7.3f (%7.3f)", epj[nlstate+1],sqrt(vepp));
-	for(j=1;j <=nlstate;j++){
-	  fprintf(ficrest," %7.3f (%7.3f)", epj[j],sqrt(vareij[j][j][(int)age]));
-	}
-	fprintf(ficrest,"\n");
-      }
-    }
-  }
-free_matrix(mint,1,maxwav,1,n);
-    free_matrix(anint,1,maxwav,1,n); free_imatrix(s,1,maxwav+1,1,n);
-    free_vector(weight,1,n);
-  fclose(ficreseij);
-  fclose(ficresvij);
-  fclose(ficrest);
-  fclose(ficpar);
-  free_vector(epj,1,nlstate+1);
-  
-  /*------- Variance limit prevalence------*/   
-
-  strcpy(fileresvpl,"vpl");
-  strcat(fileresvpl,fileres);
-  if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {
-    printf("Problem with variance prev lim resultfile: %s\n", fileresvpl);
-    exit(0);
-  }
-  printf("Computing Variance-covariance of Prevalence limit: file '%s' \n", fileresvpl);
-
-  k=0;
-  for(cptcov=1;cptcov<=i1;cptcov++){
-    for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
-      k=k+1;
-      fprintf(ficresvpl,"\n#****** ");
-      for(j=1;j<=cptcoveff;j++) 
-	fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
-      fprintf(ficresvpl,"******\n");
-      
-      varpl=matrix(1,nlstate,(int) bage, (int) fage);
-      oldm=oldms;savm=savms;
-     varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k);
-    }
- }
-
-  fclose(ficresvpl);
-
-  /*---------- End : free ----------------*/
-  free_matrix(varpl,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_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);
-  free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);
-  free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);
-  free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);
- 
-  free_matrix(matcov,1,npar,1,npar);
-  free_vector(delti,1,npar);
-  free_matrix(agev,1,maxwav,1,imx);
-  free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
-
-  if(erreur >0)
-    printf("End of Imach with error or warning %d\n",erreur);
-  else   printf("End of Imach\n");
-  /*  gettimeofday(&end_time, (struct timezone*)0);*/  /* after time */
-  
-  /* printf("Total time was %d Sec. %d uSec.\n", end_time.tv_sec -start_time.tv_sec, end_time.tv_usec -start_time.tv_usec);*/
-  /*printf("Total time was %d uSec.\n", total_usecs);*/
-  /*------ End -----------*/
-
-
- end:
-#ifdef windows
-  /* chdir(pathcd);*/
-#endif 
- /*system("wgnuplot graph.plt");*/
- /*system("../gp37mgw/wgnuplot graph.plt");*/
- /*system("cd ../gp37mgw");*/
- /* system("..\\gp37mgw\\wgnuplot graph.plt");*/
- strcpy(plotcmd,GNUPLOTPROGRAM);
- strcat(plotcmd," ");
- strcat(plotcmd,optionfilegnuplot);
- system(plotcmd);
-
-#ifdef windows
-  while (z[0] != 'q') {
-    /* chdir(path); */
-    printf("\nType e to edit output files, g to graph again, c to start again, and q for exiting: ");
-    scanf("%s",z);
-    if (z[0] == 'c') system("./imach");
-    else if (z[0] == 'e') system(optionfilehtm);
-    else if (z[0] == 'g') system(plotcmd);
-    else if (z[0] == 'q') exit(0);
-  }
-#endif 
-}
-
-
+/* $Id: imach.c,v 1.153 2014/06/20 16:45:46 brouard Exp $
+  $State: Exp $
+  $Log: imach.c,v $
+  Revision 1.153  2014/06/20 16:45:46  brouard
+  Summary: If 3 live state, convergence to period prevalence on same graph
+  Author: Brouard
+
+  Revision 1.152  2014/06/18 17:54:09  brouard
+  Summary: open browser, use gnuplot on same dir than imach if not found in the path
+
+  Revision 1.151  2014/06/18 16:43:30  brouard
+  *** empty log message ***
+
+  Revision 1.150  2014/06/18 16:42:35  brouard
+  Summary: If gnuplot is not in the path try on same directory than imach binary (OSX)
+  Author: brouard
+
+  Revision 1.149  2014/06/18 15:51:14  brouard
+  Summary: Some fixes in parameter files errors
+  Author: Nicolas Brouard
+
+  Revision 1.148  2014/06/17 17:38:48  brouard
+  Summary: Nothing new
+  Author: Brouard
+
+  Just a new packaging for OS/X version 0.98nS
+
+  Revision 1.147  2014/06/16 10:33:11  brouard
+  *** empty log message ***
+
+  Revision 1.146  2014/06/16 10:20:28  brouard
+  Summary: Merge
+  Author: Brouard
+
+  Merge, before building revised version.
+
+  Revision 1.145  2014/06/10 21:23:15  brouard
+  Summary: Debugging with valgrind
+  Author: Nicolas Brouard
+
+  Lot of changes in order to output the results with some covariates
+  After the Edimburgh REVES conference 2014, it seems mandatory to
+  improve the code.
+  No more memory valgrind error but a lot has to be done in order to
+  continue the work of splitting the code into subroutines.
+  Also, decodemodel has been improved. Tricode is still not
+  optimal. nbcode should be improved. Documentation has been added in
+  the source code.
+
+  Revision 1.143  2014/01/26 09:45:38  brouard
+  Summary: Version 0.98nR (to be improved, but gives same optimization results as 0.98k. Nice, promising
+
+  * imach.c (Module): Trying to merge old staffs together while being at Tokyo. Not tested...
+  (Module): Version 0.98nR Running ok, but output format still only works for three covariates.
+
+  Revision 1.142  2014/01/26 03:57:36  brouard
+  Summary: gnuplot changed plot w l 1 has to be changed to plot w l lt 2
+
+  * imach.c (Module): Trying to merge old staffs together while being at Tokyo. Not tested...
+
+  Revision 1.141  2014/01/26 02:42:01  brouard
+  * imach.c (Module): Trying to merge old staffs together while being at Tokyo. Not tested...
+
+  Revision 1.140  2011/09/02 10:37:54  brouard
+  Summary: times.h is ok with mingw32 now.
+
+  Revision 1.139  2010/06/14 07:50:17  brouard
+  After the theft of my laptop, I probably lost some lines of codes which were not uploaded to the CVS tree.
+  I remember having already fixed agemin agemax which are pointers now but not cvs saved.
+
+  Revision 1.138  2010/04/30 18:19:40  brouard
+  *** empty log message ***
+
+  Revision 1.137  2010/04/29 18:11:38  brouard
+  (Module): Checking covariates for more complex models
+  than V1+V2. A lot of change to be done. Unstable.
+
+  Revision 1.136  2010/04/26 20:30:53  brouard
+  (Module): merging some libgsl code. Fixing computation
+  of likelione (using inter/intrapolation if mle = 0) in order to
+  get same likelihood as if mle=1.
+  Some cleaning of code and comments added.
+
+  Revision 1.135  2009/10/29 15:33:14  brouard
+  (Module): Now imach stops if date of birth, at least year of birth, is not given. Some cleaning of the code.
+
+  Revision 1.134  2009/10/29 13:18:53  brouard
+  (Module): Now imach stops if date of birth, at least year of birth, is not given. Some cleaning of the code.
+
+  Revision 1.133  2009/07/06 10:21:25  brouard
+  just nforces
+
+  Revision 1.132  2009/07/06 08:22:05  brouard
+  Many tings
+
+  Revision 1.131  2009/06/20 16:22:47  brouard
+  Some dimensions resccaled
+
+  Revision 1.130  2009/05/26 06:44:34  brouard
+  (Module): Max Covariate is now set to 20 instead of 8. A
+  lot of cleaning with variables initialized to 0. Trying to make
+  V2+V3*age+V1+V4 strb=V3*age+V1+V4 working better.
+
+  Revision 1.129  2007/08/31 13:49:27  lievre
+  Modification of the way of exiting when the covariate is not binary in order to see on the window the error message before exiting
+
+  Revision 1.128  2006/06/30 13:02:05  brouard
+  (Module): Clarifications on computing e.j
+
+  Revision 1.127  2006/04/28 18:11:50  brouard
+  (Module): Yes the sum of survivors was wrong since
+  imach-114 because nhstepm was no more computed in the age
+  loop. Now we define nhstepma in the age loop.
+  (Module): In order to speed up (in case of numerous covariates) we
+  compute health expectancies (without variances) in a first step
+  and then all the health expectancies with variances or standard
+  deviation (needs data from the Hessian matrices) which slows the
+  computation.
+  In the future we should be able to stop the program is only health
+  expectancies and graph are needed without standard deviations.
+
+  Revision 1.126  2006/04/28 17:23:28  brouard
+  (Module): Yes the sum of survivors was wrong since
+  imach-114 because nhstepm was no more computed in the age
+  loop. Now we define nhstepma in the age loop.
+  Version 0.98h
+
+  Revision 1.125  2006/04/04 15:20:31  lievre
+  Errors in calculation of health expectancies. Age was not initialized.
+  Forecasting file added.
+
+  Revision 1.124  2006/03/22 17:13:53  lievre
+  Parameters are printed with %lf instead of %f (more numbers after the comma).
+  The log-likelihood is printed in the log file
+
+  Revision 1.123  2006/03/20 10:52:43  brouard
+  * imach.c (Module): <title> changed, corresponds to .htm file
+  name. <head> headers where missing.
+
+  * imach.c (Module): Weights can have a decimal point as for
+  English (a comma might work with a correct LC_NUMERIC environment,
+  otherwise the weight is truncated).
+  Modification of warning when the covariates values are not 0 or
+  1.
+  Version 0.98g
+
+  Revision 1.122  2006/03/20 09:45:41  brouard
+  (Module): Weights can have a decimal point as for
+  English (a comma might work with a correct LC_NUMERIC environment,
+  otherwise the weight is truncated).
+  Modification of warning when the covariates values are not 0 or
+  1.
+  Version 0.98g
+
+  Revision 1.121  2006/03/16 17:45:01  lievre
+  * imach.c (Module): Comments concerning covariates added
+
+  * imach.c (Module): refinements in the computation of lli if
+  status=-2 in order to have more reliable computation if stepm is
+  not 1 month. Version 0.98f
+
+  Revision 1.120  2006/03/16 15:10:38  lievre
+  (Module): refinements in the computation of lli if
+  status=-2 in order to have more reliable computation if stepm is
+  not 1 month. Version 0.98f
+
+  Revision 1.119  2006/03/15 17:42:26  brouard
+  (Module): Bug if status = -2, the loglikelihood was
+  computed as likelihood omitting the logarithm. Version O.98e
+
+  Revision 1.118  2006/03/14 18:20:07  brouard
+  (Module): varevsij Comments added explaining the second
+  table of variances if popbased=1 .
+  (Module): Covariances of eij, ekl added, graphs fixed, new html link.
+  (Module): Function pstamp added
+  (Module): Version 0.98d
+
+  Revision 1.117  2006/03/14 17:16:22  brouard
+  (Module): varevsij Comments added explaining the second
+  table of variances if popbased=1 .
+  (Module): Covariances of eij, ekl added, graphs fixed, new html link.
+  (Module): Function pstamp added
+  (Module): Version 0.98d
+
+  Revision 1.116  2006/03/06 10:29:27  brouard
+  (Module): Variance-covariance wrong links and
+  varian-covariance of ej. is needed (Saito).
+
+  Revision 1.115  2006/02/27 12:17:45  brouard
+  (Module): One freematrix added in mlikeli! 0.98c
+
+  Revision 1.114  2006/02/26 12:57:58  brouard
+  (Module): Some improvements in processing parameter
+  filename with strsep.
+
+  Revision 1.113  2006/02/24 14:20:24  brouard
+  (Module): Memory leaks checks with valgrind and:
+  datafile was not closed, some imatrix were not freed and on matrix
+  allocation too.
+
+  Revision 1.112  2006/01/30 09:55:26  brouard
+  (Module): Back to gnuplot.exe instead of wgnuplot.exe
+
+  Revision 1.111  2006/01/25 20:38:18  brouard
+  (Module): Lots of cleaning and bugs added (Gompertz)
+  (Module): Comments can be added in data file. Missing date values
+  can be a simple dot '.'.
+
+  Revision 1.110  2006/01/25 00:51:50  brouard
+  (Module): Lots of cleaning and bugs added (Gompertz)
+
+  Revision 1.109  2006/01/24 19:37:15  brouard
+  (Module): Comments (lines starting with a #) are allowed in data.
+
+  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
+
+  Short summary of the programme:
+  
+  This program computes Healthy Life Expectancies from
+  cross-longitudinal data. Cross-longitudinal data consist in: -1- a
+  first survey ("cross") where individuals from different ages are
+  interviewed on their health status or degree of disability (in the
+  case of a health survey which is our main interest) -2- at least a
+  second wave of interviews ("longitudinal") which measure each change
+  (if any) in individual health status.  Health expectancies are
+  computed from the time spent in each health state according to a
+  model. More health states you consider, more time is necessary to reach the
+  Maximum Likelihood of the parameters involved in the model.  The
+  simplest model is the multinomial logistic model where pij is the
+  probability to be observed in state j at the second wave
+  conditional to be observed in state i at the first wave. Therefore
+  the model is: log(pij/pii)= aij + bij*age+ cij*sex + etc , where
+  'age' is age and 'sex' is a covariate. If you want to have a more
+  complex model than "constant and age", you should modify the program
+  where the markup *Covariates have to be included here again* invites
+  you to do it.  More covariates you add, slower the
+  convergence.
+
+  The advantage of this computer programme, compared to a simple
+  multinomial logistic model, is clear when the delay between waves is not
+  identical for each individual. Also, if a individual missed an
+  intermediate interview, the information is lost, but taken into
+  account using an interpolation or extrapolation.  
+
+  hPijx is the probability to be observed in state i at age x+h
+  conditional to the observed state i at age x. The delay 'h' can be
+  split into an exact number (nh*stepm) of unobserved intermediate
+  states. This elementary transition (by month, quarter,
+  semester or year) is modelled as a multinomial logistic.  The hPx
+  matrix is simply the matrix product of nh*stepm elementary matrices
+  and the contribution of each individual to the likelihood is simply
+  hPijx.
+
+  Also this programme outputs the covariance matrix of the parameters but also
+  of the life expectancies. It also computes the period (stable) prevalence. 
+  
+  Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr).
+           Institut national d'études démographiques, Paris.
+  This software have been partly granted by Euro-REVES, a concerted action
+  from the European Union.
+  It is copyrighted identically to a GNU software product, ie programme and
+  software can be distributed freely for non commercial use. Latest version
+  can be accessed at http://euroreves.ined.fr/imach .
+
+  Help to debug: LD_PRELOAD=/usr/local/lib/libnjamd.so ./imach foo.imach
+  or better on gdb : set env LD_PRELOAD=/usr/local/lib/libnjamd.so
+  
+  **********************************************************************/
+/*
+  main
+  read parameterfile
+  read datafile
+  concatwav
+  freqsummary
+  if (mle >= 1)
+    mlikeli
+  print results files
+  if mle==1 
+     computes hessian
+  read end of parameter file: agemin, agemax, bage, fage, estepm
+      begin-prev-date,...
+  open gnuplot file
+  open html file
+  period (stable) prevalence      | pl_nom    1-1 2-2 etc by covariate
+   for age prevalim()             | #****** V1=0  V2=1  V3=1  V4=0 ******
+                                  | 65 1 0 2 1 3 1 4 0  0.96326 0.03674
+    freexexit2 possible for memory heap.
+
+  h Pij x                         | pij_nom  ficrestpij
+   # Cov Agex agex+h hpijx with i,j= 1-1 1-2     1-3     2-1     2-2     2-3
+       1  85   85    1.00000             0.00000 0.00000 0.00000 1.00000 0.00000
+       1  85   86    0.68299             0.22291 0.09410 0.71093 0.00000 0.28907
+
+       1  65   99    0.00364             0.00322 0.99314 0.00350 0.00310 0.99340
+       1  65  100    0.00214             0.00204 0.99581 0.00206 0.00196 0.99597
+  variance of p one-step probabilities varprob  | prob_nom   ficresprob #One-step probabilities and stand. devi in ()
+   Standard deviation of one-step probabilities | probcor_nom   ficresprobcor #One-step probabilities and correlation matrix
+   Matrix of variance covariance of one-step probabilities |  probcov_nom ficresprobcov #One-step probabilities and covariance matrix
+
+  forecasting if prevfcast==1 prevforecast call prevalence()
+  health expectancies
+  Variance-covariance of DFLE
+  prevalence()
+   movingaverage()
+  varevsij() 
+  if popbased==1 varevsij(,popbased)
+  total life expectancies
+  Variance of period (stable) prevalence
+ end
+*/
+
+
+
+ 
+#include <math.h>
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+#include <unistd.h>
+
+#include <limits.h>
+#include <sys/types.h>
+#include <sys/stat.h>
+#include <errno.h>
+extern int errno;
+
+#ifdef LINUX
+#include <time.h>
+#include "timeval.h"
+#else
+#include <sys/time.h>
+#endif
+
+#ifdef GSL
+#include <gsl/gsl_errno.h>
+#include <gsl/gsl_multimin.h>
+#endif
+
+/* #include <libintl.h> */
+/* #define _(String) gettext (String) */
+
+#define MAXLINE 1024 /* Was 256. Overflow with 312 with 2 states and 4 covariates. Should be ok */
+
+#define GNUPLOTPROGRAM "gnuplot"
+/*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/
+#define FILENAMELENGTH 132
+
+#define	GLOCK_ERROR_NOPATH		-1	/* empty path */
+#define	GLOCK_ERROR_GETCWD		-2	/* cannot get cwd */
+
+#define MAXPARM 128 /**< Maximum number of parameters for the optimization */
+#define NPARMAX 64 /**< (nlstate+ndeath-1)*nlstate*ncovmodel */
+
+#define NINTERVMAX 8
+#define NLSTATEMAX 8 /**< Maximum number of live states (for func) */
+#define NDEATHMAX 8 /**< Maximum number of dead states (for func) */
+#define NCOVMAX 20 /**< Maximum number of covariates, including generated covariates V1*V2 */
+#define codtabm(h,k)  1 & (h-1) >> (k-1) ;
+#define MAXN 20000
+#define YEARM 12. /**< Number of months per year */
+#define AGESUP 130
+#define AGEBASE 40
+#define AGEGOMP 10. /**< Minimal age for Gompertz adjustment */
+#ifdef UNIX
+#define DIRSEPARATOR '/'
+#define CHARSEPARATOR "/"
+#define ODIRSEPARATOR '\\'
+#else
+#define DIRSEPARATOR '\\'
+#define CHARSEPARATOR "\\"
+#define ODIRSEPARATOR '/'
+#endif
+
+/* $Id: imach.c,v 1.153 2014/06/20 16:45:46 brouard Exp $ */
+/* $State: Exp $ */
+
+char version[]="Imach version 0.98nT, January 2014,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121)";
+char fullversion[]="$Revision: 1.153 $ $Date: 2014/06/20 16:45:46 $"; 
+char strstart[80];
+char optionfilext[10], optionfilefiname[FILENAMELENGTH];
+int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings  */
+int nvar=0, nforce=0; /* Number of variables, number of forces */
+/* Number of covariates model=V2+V1+ V3*age+V2*V4 */
+int cptcovn=0; /**< cptcovn number of covariates added in the model (excepting constant and age and age*product) */
+int cptcovt=0; /**< cptcovt number of covariates added in the model (excepting constant and age) */
+int cptcovs=0; /**< cptcovs number of simple covariates V2+V1 =2 */
+int cptcovage=0; /**< Number of covariates with age: V3*age only =1 */
+int cptcovprodnoage=0; /**< Number of covariate products without age */   
+int cptcoveff=0; /* Total number of covariates to vary for printing results */
+int cptcov=0; /* Working variable */
+int npar=NPARMAX;
+int nlstate=2; /* Number of live states */
+int ndeath=1; /* Number of dead states */
+int ncovmodel=0, ncovcol=0;     /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */
+int popbased=0;
+
+int *wav; /* Number of waves for this individuual 0 is possible */
+int maxwav=0; /* Maxim number of waves */
+int jmin=0, jmax=0; /* min, max spacing between 2 waves */
+int ijmin=0, ijmax=0; /* Individuals having jmin and jmax */ 
+int gipmx=0, gsw=0; /* Global variables on the number of contributions 
+		   to the likelihood and the sum of weights (done by funcone)*/
+int mle=1, weightopt=0;
+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 **bh; /* bh[mi][i] is the bias (+ or -) for this individual if the delay between
+	   * wave mi and wave mi+1 is not an exact multiple of stepm. */
+double jmean=1; /* Mean space between 2 waves */
+double **matprod2(); /* test */
+double **oldm, **newm, **savm; /* Working pointers to matrices */
+double **oldms, **newms, **savms; /* Fixed working pointers to matrices */
+/*FILE *fic ; */ /* Used in readdata only */
+FILE *ficpar, *ficparo,*ficres, *ficresp, *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop;
+FILE *ficlog, *ficrespow;
+int globpr=0; /* Global variable for printing or not */
+double fretone; /* Only one call to likelihood */
+long ipmx=0; /* 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 *ficresprobmorprev;
+FILE *fichtm, *fichtmcov; /* Html File */
+FILE *ficreseij;
+char filerese[FILENAMELENGTH];
+FILE *ficresstdeij;
+char fileresstde[FILENAMELENGTH];
+FILE *ficrescveij;
+char filerescve[FILENAMELENGTH];
+FILE  *ficresvij;
+char fileresv[FILENAMELENGTH];
+FILE  *ficresvpl;
+char fileresvpl[FILENAMELENGTH];
+char title[MAXLINE];
+char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH],  filerespl[FILENAMELENGTH];
+char plotcmd[FILENAMELENGTH], pplotcmd[FILENAMELENGTH];
+char tmpout[FILENAMELENGTH],  tmpout2[FILENAMELENGTH]; 
+char command[FILENAMELENGTH];
+int  outcmd=0;
+
+char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];
+
+char filelog[FILENAMELENGTH]; /* Log file */
+char filerest[FILENAMELENGTH];
+char fileregp[FILENAMELENGTH];
+char popfile[FILENAMELENGTH];
+
+char optionfilegnuplot[FILENAMELENGTH], optionfilehtm[FILENAMELENGTH], 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];
+
+char *endptr;
+long lval;
+double dval;
+
+#define NR_END 1
+#define FREE_ARG char*
+#define FTOL 1.0e-10
+
+#define NRANSI 
+#define ITMAX 200 
+
+#define TOL 2.0e-4 
+
+#define CGOLD 0.3819660 
+#define ZEPS 1.0e-10 
+#define SHFT(a,b,c,d) (a)=(b);(b)=(c);(c)=(d); 
+
+#define GOLD 1.618034 
+#define GLIMIT 100.0 
+#define TINY 1.0e-20 
+
+static double maxarg1,maxarg2;
+#define FMAX(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)>(maxarg2)? (maxarg1):(maxarg2))
+#define FMIN(a,b) (maxarg1=(a),maxarg2=(b),(maxarg1)<(maxarg2)? (maxarg1):(maxarg2))
+  
+#define SIGN(a,b) ((b)>0.0 ? fabs(a) : -fabs(a))
+#define rint(a) floor(a+0.5)
+
+static double sqrarg;
+#define SQR(a) ((sqrarg=(a)) == 0.0 ? 0.0 :sqrarg*sqrarg)
+#define SWAP(a,b) {temp=(a);(a)=(b);(b)=temp;} 
+int agegomp= AGEGOMP;
+
+int imx; 
+int stepm=1;
+/* Stepm, step in month: minimum step interpolation*/
+
+int estepm;
+/* Estepm, step in month to interpolate survival function in order to approximate Life Expectancy*/
+
+int m,nb;
+long *num;
+int firstpass=0, lastpass=4,*cod, *ncodemax, *Tage,*cens;
+double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint;
+double **pmmij, ***probs;
+double *ageexmed,*agecens;
+double dateintmean=0;
+
+double *weight;
+int **s; /* Status */
+double *agedc;
+double  **covar; /**< covar[j,i], value of jth covariate for individual i,
+		  * covar=matrix(0,NCOVMAX,1,n); 
+		  * cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2]; */
+double  idx; 
+int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */
+int *Ndum; /** Freq of modality (tricode */
+int **codtab; /**< codtab=imatrix(1,100,1,10); */
+int **Tvard, *Tprod, cptcovprod, *Tvaraff;
+double *lsurv, *lpop, *tpop;
+
+double ftol=FTOL; /**< Tolerance for computing Max Likelihood */
+double ftolhess; /**< Tolerance for computing hessian */
+
+/**************** split *************************/
+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 */
+  int	l1, l2;				/* length counters */
+
+  l1 = strlen(path );			/* length of path */
+  if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH );
+  ss= strrchr( path, DIRSEPARATOR );		/* find last / */
+  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)
+      printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/
+    /* get current working directory */
+    /*    extern  char* getcwd ( char *buf , int len);*/
+    if ( getcwd( dirc, FILENAME_MAX ) == NULL ) {
+      return( GLOCK_ERROR_GETCWD );
+    }
+    /* got dirc from getcwd*/
+    printf(" DIRC = %s \n",dirc);
+  } else {				/* strip direcotry from path */
+    ss++;				/* after this, the filename */
+    l2 = strlen( ss );			/* length of filename */
+    if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH );
+    strcpy( name, ss );		/* save file name */
+    strncpy( dirc, path, l1 - l2 );	/* now the directory */
+    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 */
+  if( dirc[l1-1] != DIRSEPARATOR ){
+    dirc[l1] =  DIRSEPARATOR;
+    dirc[l1+1] = 0; 
+    printf(" DIRC3 = %s \n",dirc);
+  }
+  ss = strrchr( name, '.' );		/* find last / */
+  if (ss >0){
+    ss++;
+    strcpy(ext,ss);			/* save extension */
+    l1= strlen( name);
+    l2= strlen(ss)+1;
+    strncpy( finame, name, l1-l2);
+    finame[l1-l2]= 0;
+  }
+
+  return( 0 );				/* we're done */
+}
+
+
+/******************************************/
+
+void replace_back_to_slash(char *s, char*t)
+{
+  int i;
+  int lg=0;
+  i=0;
+  lg=strlen(t);
+  for(i=0; i<= lg; i++) {
+    (s[i] = t[i]);
+    if (t[i]== '\\') s[i]='/';
+  }
+}
+
+char *trimbb(char *out, char *in)
+{ /* Trim multiple blanks in line but keeps first blanks if line starts with blanks */
+  char *s;
+  s=out;
+  while (*in != '\0'){
+    while( *in == ' ' && *(in+1) == ' '){ /* && *(in+1) != '\0'){*/
+      in++;
+    }
+    *out++ = *in++;
+  }
+  *out='\0';
+  return s;
+}
+
+char *cutl(char *blocc, char *alocc, char *in, char occ)
+{
+  /* cuts string in into blocc and alocc where blocc ends before first occurence of char 'occ' 
+     and alocc starts after first occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')
+     gives blocc="abcdef2ghi" and alocc="j".
+     If occ is not found blocc is null and alocc is equal to in. Returns blocc
+  */
+  char *s, *t, *bl;
+  t=in;s=in;
+  while ((*in != occ) && (*in != '\0')){
+    *alocc++ = *in++;
+  }
+  if( *in == occ){
+    *(alocc)='\0';
+    s=++in;
+  }
+ 
+  if (s == t) {/* occ not found */
+    *(alocc-(in-s))='\0';
+    in=s;
+  }
+  while ( *in != '\0'){
+    *blocc++ = *in++;
+  }
+
+  *blocc='\0';
+  return t;
+}
+char *cutv(char *blocc, char *alocc, char *in, char occ)
+{
+  /* cuts string in into blocc and alocc where blocc ends before last occurence of char 'occ' 
+     and alocc starts after last occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')
+     gives blocc="abcdef2ghi" and alocc="j".
+     If occ is not found blocc is null and alocc is equal to in. Returns alocc
+  */
+  char *s, *t;
+  t=in;s=in;
+  while (*in != '\0'){
+    while( *in == occ){
+      *blocc++ = *in++;
+      s=in;
+    }
+    *blocc++ = *in++;
+  }
+  if (s == t) /* occ not found */
+    *(blocc-(in-s))='\0';
+  else
+    *(blocc-(in-s)-1)='\0';
+  in=s;
+  while ( *in != '\0'){
+    *alocc++ = *in++;
+  }
+
+  *alocc='\0';
+  return s;
+}
+
+int nbocc(char *s, char occ)
+{
+  int i,j=0;
+  int lg=20;
+  i=0;
+  lg=strlen(s);
+  for(i=0; i<= lg; i++) {
+  if  (s[i] == occ ) j++;
+  }
+  return j;
+}
+
+/* void cutv(char *u,char *v, char*t, char occ) */
+/* { */
+/*   /\* cuts string t into u and v where u ends before last occurence of char 'occ'  */
+/*      and v starts after last occurence of char 'occ' : ex cutv(u,v,"abcdef2ghi2j",'2') */
+/*      gives u="abcdef2ghi" and v="j" *\/ */
+/*   int i,lg,j,p=0; */
+/*   i=0; */
+/*   lg=strlen(t); */
+/*   for(j=0; j<=lg-1; j++) { */
+/*     if((t[j]!= occ) && (t[j+1]== occ)) p=j+1; */
+/*   } */
+
+/*   for(j=0; j<p; j++) { */
+/*     (u[j] = t[j]); */
+/*   } */
+/*      u[p]='\0'; */
+
+/*    for(j=0; j<= lg; j++) { */
+/*     if (j>=(p+1))(v[j-p-1] = t[j]); */
+/*   } */
+/* } */
+
+/********************** nrerror ********************/
+
+void nrerror(char error_text[])
+{
+  fprintf(stderr,"ERREUR ...\n");
+  fprintf(stderr,"%s\n",error_text);
+  exit(EXIT_FAILURE);
+}
+/*********************** vector *******************/
+double *vector(int nl, int nh)
+{
+  double *v;
+  v=(double *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(double)));
+  if (!v) nrerror("allocation failure in vector");
+  return v-nl+NR_END;
+}
+
+/************************ free vector ******************/
+void free_vector(double*v, int nl, int nh)
+{
+  free((FREE_ARG)(v+nl-NR_END));
+}
+
+/************************ivector *******************************/
+int *ivector(long nl,long nh)
+{
+  int *v;
+  v=(int *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(int)));
+  if (!v) nrerror("allocation failure in ivector");
+  return v-nl+NR_END;
+}
+
+/******************free ivector **************************/
+void free_ivector(int *v, long nl, long nh)
+{
+  free((FREE_ARG)(v+nl-NR_END));
+}
+
+/************************lvector *******************************/
+long *lvector(long nl,long nh)
+{
+  long *v;
+  v=(long *) malloc((size_t)((nh-nl+1+NR_END)*sizeof(long)));
+  if (!v) nrerror("allocation failure in ivector");
+  return v-nl+NR_END;
+}
+
+/******************free lvector **************************/
+void free_lvector(long *v, long nl, long nh)
+{
+  free((FREE_ARG)(v+nl-NR_END));
+}
+
+/******************* imatrix *******************************/
+int **imatrix(long nrl, long nrh, long ncl, long nch) 
+     /* allocate a int matrix with subscript range m[nrl..nrh][ncl..nch] */ 
+{ 
+  long i, nrow=nrh-nrl+1,ncol=nch-ncl+1; 
+  int **m; 
+  
+  /* allocate pointers to rows */ 
+  m=(int **) malloc((size_t)((nrow+NR_END)*sizeof(int*))); 
+  if (!m) nrerror("allocation failure 1 in matrix()"); 
+  m += NR_END; 
+  m -= nrl; 
+  
+  
+  /* allocate rows and set pointers to them */ 
+  m[nrl]=(int *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(int))); 
+  if (!m[nrl]) nrerror("allocation failure 2 in matrix()"); 
+  m[nrl] += NR_END; 
+  m[nrl] -= ncl; 
+  
+  for(i=nrl+1;i<=nrh;i++) m[i]=m[i-1]+ncol; 
+  
+  /* return pointer to array of pointers to rows */ 
+  return m; 
+} 
+
+/****************** free_imatrix *************************/
+void free_imatrix(m,nrl,nrh,ncl,nch)
+      int **m;
+      long nch,ncl,nrh,nrl; 
+     /* free an int matrix allocated by imatrix() */ 
+{ 
+  free((FREE_ARG) (m[nrl]+ncl-NR_END)); 
+  free((FREE_ARG) (m+nrl-NR_END)); 
+} 
+
+/******************* matrix *******************************/
+double **matrix(long nrl, long nrh, long ncl, long nch)
+{
+  long i, nrow=nrh-nrl+1, ncol=nch-ncl+1;
+  double **m;
+
+  m=(double **) malloc((size_t)((nrow+NR_END)*sizeof(double*)));
+  if (!m) nrerror("allocation failure 1 in matrix()");
+  m += NR_END;
+  m -= nrl;
+
+  m[nrl]=(double *) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double)));
+  if (!m[nrl]) nrerror("allocation failure 2 in matrix()");
+  m[nrl] += NR_END;
+  m[nrl] -= ncl;
+
+  for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
+  return m;
+  /* print *(*(m+1)+70) or print m[1][70]; print m+1 or print &(m[1]) or &(m[1][0])
+m[i] = address of ith row of the table. &(m[i]) is its value which is another adress
+that of m[i][0]. In order to get the value p m[i][0] but it is unitialized.
+   */
+}
+
+/*************************free matrix ************************/
+void free_matrix(double **m, long nrl, long nrh, long ncl, long nch)
+{
+  free((FREE_ARG)(m[nrl]+ncl-NR_END));
+  free((FREE_ARG)(m+nrl-NR_END));
+}
+
+/******************* ma3x *******************************/
+double ***ma3x(long nrl, long nrh, long ncl, long nch, long nll, long nlh)
+{
+  long i, j, nrow=nrh-nrl+1, ncol=nch-ncl+1, nlay=nlh-nll+1;
+  double ***m;
+
+  m=(double ***) malloc((size_t)((nrow+NR_END)*sizeof(double*)));
+  if (!m) nrerror("allocation failure 1 in matrix()");
+  m += NR_END;
+  m -= nrl;
+
+  m[nrl]=(double **) malloc((size_t)((nrow*ncol+NR_END)*sizeof(double)));
+  if (!m[nrl]) nrerror("allocation failure 2 in matrix()");
+  m[nrl] += NR_END;
+  m[nrl] -= ncl;
+
+  for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
+
+  m[nrl][ncl]=(double *) malloc((size_t)((nrow*ncol*nlay+NR_END)*sizeof(double)));
+  if (!m[nrl][ncl]) nrerror("allocation failure 3 in matrix()");
+  m[nrl][ncl] += NR_END;
+  m[nrl][ncl] -= nll;
+  for (j=ncl+1; j<=nch; j++) 
+    m[nrl][j]=m[nrl][j-1]+nlay;
+  
+  for (i=nrl+1; i<=nrh; i++) {
+    m[i][ncl]=m[i-1l][ncl]+ncol*nlay;
+    for (j=ncl+1; j<=nch; j++) 
+      m[i][j]=m[i][j-1]+nlay;
+  }
+  return m; 
+  /*  gdb: p *(m+1) <=> p m[1] and p (m+1) <=> p (m+1) <=> p &(m[1])
+           &(m[i][j][k]) <=> *((*(m+i) + j)+k)
+  */
+}
+
+/*************************free ma3x ************************/
+void free_ma3x(double ***m, long nrl, long nrh, long ncl, long nch,long nll, long nlh)
+{
+  free((FREE_ARG)(m[nrl][ncl]+ nll-NR_END));
+  free((FREE_ARG)(m[nrl]+ncl-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 *************************/
+extern int ncom; 
+extern double *pcom,*xicom;
+extern double (*nrfunc)(double []); 
+ 
+double f1dim(double x) 
+{ 
+  int j; 
+  double f;
+  double *xt; 
+ 
+  xt=vector(1,ncom); 
+  for (j=1;j<=ncom;j++) xt[j]=pcom[j]+x*xicom[j]; 
+  f=(*nrfunc)(xt); 
+  free_vector(xt,1,ncom); 
+  return f; 
+} 
+
+/*****************brent *************************/
+double brent(double ax, double bx, double cx, double (*f)(double), double tol, 	double *xmin) 
+{ 
+  int iter; 
+  double a,b,d,etemp;
+  double fu,fv,fw,fx;
+  double ftemp;
+  double p,q,r,tol1,tol2,u,v,w,x,xm; 
+  double e=0.0; 
+ 
+  a=(ax < cx ? ax : cx); 
+  b=(ax > cx ? ax : cx); 
+  x=w=v=bx; 
+  fw=fv=fx=(*f)(x); 
+  for (iter=1;iter<=ITMAX;iter++) { 
+    xm=0.5*(a+b); 
+    tol2=2.0*(tol1=tol*fabs(x)+ZEPS); 
+    /*		if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret)))*/
+    printf(".");fflush(stdout);
+    fprintf(ficlog,".");fflush(ficlog);
+#ifdef DEBUG
+    printf("br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);
+    fprintf(ficlog,"br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);
+    /*		if ((fabs(x-xm) <= (tol2-0.5*(b-a)))||(2.0*fabs(fu-ftemp) <= ftol*1.e-2*(fabs(fu)+fabs(ftemp)))) { */
+#endif
+    if (fabs(x-xm) <= (tol2-0.5*(b-a))){ 
+      *xmin=x; 
+      return fx; 
+    } 
+    ftemp=fu;
+    if (fabs(e) > tol1) { 
+      r=(x-w)*(fx-fv); 
+      q=(x-v)*(fx-fw); 
+      p=(x-v)*q-(x-w)*r; 
+      q=2.0*(q-r); 
+      if (q > 0.0) p = -p; 
+      q=fabs(q); 
+      etemp=e; 
+      e=d; 
+      if (fabs(p) >= fabs(0.5*q*etemp) || p <= q*(a-x) || p >= q*(b-x)) 
+	d=CGOLD*(e=(x >= xm ? a-x : b-x)); 
+      else { 
+	d=p/q; 
+	u=x+d; 
+	if (u-a < tol2 || b-u < tol2) 
+	  d=SIGN(tol1,xm-x); 
+      } 
+    } else { 
+      d=CGOLD*(e=(x >= xm ? a-x : b-x)); 
+    } 
+    u=(fabs(d) >= tol1 ? x+d : x+SIGN(tol1,d)); 
+    fu=(*f)(u); 
+    if (fu <= fx) { 
+      if (u >= x) a=x; else b=x; 
+      SHFT(v,w,x,u) 
+	SHFT(fv,fw,fx,fu) 
+	} else { 
+	  if (u < x) a=u; else b=u; 
+	  if (fu <= fw || w == x) { 
+	    v=w; 
+	    w=u; 
+	    fv=fw; 
+	    fw=fu; 
+	  } else if (fu <= fv || v == x || v == w) { 
+	    v=u; 
+	    fv=fu; 
+	  } 
+	} 
+  } 
+  nrerror("Too many iterations in brent"); 
+  *xmin=x; 
+  return fx; 
+} 
+
+/****************** mnbrak ***********************/
+
+void mnbrak(double *ax, double *bx, double *cx, double *fa, double *fb, double *fc, 
+	    double (*func)(double)) 
+{ 
+  double ulim,u,r,q, dum;
+  double fu; 
+ 
+  *fa=(*func)(*ax); 
+  *fb=(*func)(*bx); 
+  if (*fb > *fa) { 
+    SHFT(dum,*ax,*bx,dum) 
+      SHFT(dum,*fb,*fa,dum) 
+      } 
+  *cx=(*bx)+GOLD*(*bx-*ax); 
+  *fc=(*func)(*cx); 
+  while (*fb > *fc) { 
+    r=(*bx-*ax)*(*fb-*fc); 
+    q=(*bx-*cx)*(*fb-*fa); 
+    u=(*bx)-((*bx-*cx)*q-(*bx-*ax)*r)/ 
+      (2.0*SIGN(FMAX(fabs(q-r),TINY),q-r)); 
+    ulim=(*bx)+GLIMIT*(*cx-*bx); 
+    if ((*bx-u)*(u-*cx) > 0.0) { 
+      fu=(*func)(u); 
+    } else if ((*cx-u)*(u-ulim) > 0.0) { 
+      fu=(*func)(u); 
+      if (fu < *fc) { 
+	SHFT(*bx,*cx,u,*cx+GOLD*(*cx-*bx)) 
+	  SHFT(*fb,*fc,fu,(*func)(u)) 
+	  } 
+    } else if ((u-ulim)*(ulim-*cx) >= 0.0) { 
+      u=ulim; 
+      fu=(*func)(u); 
+    } else { 
+      u=(*cx)+GOLD*(*cx-*bx); 
+      fu=(*func)(u); 
+    } 
+    SHFT(*ax,*bx,*cx,u) 
+      SHFT(*fa,*fb,*fc,fu) 
+      } 
+} 
+
+/*************** linmin ************************/
+
+int ncom; 
+double *pcom,*xicom;
+double (*nrfunc)(double []); 
+ 
+void linmin(double p[], double xi[], int n, double *fret,double (*func)(double [])) 
+{ 
+  double brent(double ax, double bx, double cx, 
+	       double (*f)(double), double tol, double *xmin); 
+  double f1dim(double x); 
+  void mnbrak(double *ax, double *bx, double *cx, double *fa, double *fb, 
+	      double *fc, double (*func)(double)); 
+  int j; 
+  double xx,xmin,bx,ax; 
+  double fx,fb,fa;
+ 
+  ncom=n; 
+  pcom=vector(1,n); 
+  xicom=vector(1,n); 
+  nrfunc=func; 
+  for (j=1;j<=n;j++) { 
+    pcom[j]=p[j]; 
+    xicom[j]=xi[j]; 
+  } 
+  ax=0.0; 
+  xx=1.0; 
+  mnbrak(&ax,&xx,&bx,&fa,&fx,&fb,f1dim); 
+  *fret=brent(ax,xx,bx,f1dim,TOL,&xmin); 
+#ifdef DEBUG
+  printf("retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);
+  fprintf(ficlog,"retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);
+#endif
+  for (j=1;j<=n;j++) { 
+    xi[j] *= xmin; 
+    p[j] += xi[j]; 
+  } 
+  free_vector(xicom,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,"%ld day(s) %ld hour(s) %ld minute(s) %ld second(s)",days, hours, minutes, sec_left);  
+  return ascdiff;
+}
+
+/*************** powell ************************/
+void powell(double p[], double **xi, int n, double ftol, int *iter, double *fret, 
+	    double (*func)(double [])) 
+{ 
+  void linmin(double p[], double xi[], int n, double *fret, 
+	      double (*func)(double [])); 
+  int i,ibig,j; 
+  double del,t,*pt,*ptt,*xit;
+  double fp,fptt;
+  double *xits;
+  int niterf, itmp;
+
+  pt=vector(1,n); 
+  ptt=vector(1,n); 
+  xit=vector(1,n); 
+  xits=vector(1,n); 
+  *fret=(*func)(p); 
+  for (j=1;j<=n;j++) pt[j]=p[j]; 
+  for (*iter=1;;++(*iter)) { 
+    fp=(*fret); 
+    ibig=0; 
+    del=0.0; 
+    last_time=curr_time;
+    (void) gettimeofday(&curr_time,&tzp);
+    printf("\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret, curr_time.tv_sec-last_time.tv_sec, curr_time.tv_sec-start_time.tv_sec);fflush(stdout);
+    fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret, curr_time.tv_sec-last_time.tv_sec, curr_time.tv_sec-start_time.tv_sec); fflush(ficlog);
+/*     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]);
+      fprintf(ficlog," %d %.12lf",i, p[i]);
+      fprintf(ficrespow," %.12lf", p[i]);
+    }
+    printf("\n");
+    fprintf(ficlog,"\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 (j=1;j<=n;j++) xit[j]=xi[j][i]; 
+      fptt=(*fret); 
+#ifdef DEBUG
+      printf("fret=%lf \n",*fret);
+      fprintf(ficlog,"fret=%lf \n",*fret);
+#endif
+      printf("%d",i);fflush(stdout);
+      fprintf(ficlog,"%d",i);fflush(ficlog);
+      linmin(p,xit,n,fret,func); 
+      if (fabs(fptt-(*fret)) > del) { 
+	del=fabs(fptt-(*fret)); 
+	ibig=i; 
+      } 
+#ifdef DEBUG
+      printf("%d %.12e",i,(*fret));
+      fprintf(ficlog,"%d %.12e",i,(*fret));
+      for (j=1;j<=n;j++) {
+	xits[j]=FMAX(fabs(p[j]-pt[j]),1.e-5);
+	printf(" x(%d)=%.12e",j,xit[j]);
+	fprintf(ficlog," x(%d)=%.12e",j,xit[j]);
+      }
+      for(j=1;j<=n;j++) {
+	printf(" p=%.12e",p[j]);
+	fprintf(ficlog," p=%.12e",p[j]);
+      }
+      printf("\n");
+      fprintf(ficlog,"\n");
+#endif
+    } 
+    if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) {
+#ifdef DEBUG
+      int k[2],l;
+      k[0]=1;
+      k[1]=-1;
+      printf("Max: %.12e",(*func)(p));
+      fprintf(ficlog,"Max: %.12e",(*func)(p));
+      for (j=1;j<=n;j++) {
+	printf(" %.12e",p[j]);
+	fprintf(ficlog," %.12e",p[j]);
+      }
+      printf("\n");
+      fprintf(ficlog,"\n");
+      for(l=0;l<=1;l++) {
+	for (j=1;j<=n;j++) {
+	  ptt[j]=p[j]+(p[j]-pt[j])*k[l];
+	  printf("l=%d j=%d ptt=%.12e, xits=%.12e, p=%.12e, xit=%.12e", l,j,ptt[j],xits[j],p[j],xit[j]);
+	  fprintf(ficlog,"l=%d j=%d ptt=%.12e, xits=%.12e, p=%.12e, xit=%.12e", l,j,ptt[j],xits[j],p[j],xit[j]);
+	}
+	printf("func(ptt)=%.12e, deriv=%.12e\n",(*func)(ptt),(ptt[j]-p[j])/((*func)(ptt)-(*func)(p)));
+	fprintf(ficlog,"func(ptt)=%.12e, deriv=%.12e\n",(*func)(ptt),(ptt[j]-p[j])/((*func)(ptt)-(*func)(p)));
+      }
+#endif
+
+
+      free_vector(xit,1,n); 
+      free_vector(xits,1,n); 
+      free_vector(ptt,1,n); 
+      free_vector(pt,1,n); 
+      return; 
+    } 
+    if (*iter == ITMAX) nrerror("powell exceeding maximum iterations."); 
+    for (j=1;j<=n;j++) { 
+      ptt[j]=2.0*p[j]-pt[j]; 
+      xit[j]=p[j]-pt[j]; 
+      pt[j]=p[j]; 
+    } 
+    fptt=(*func)(ptt); 
+    if (fptt < fp) { 
+      t=2.0*(fp-2.0*(*fret)+fptt)*SQR(fp-(*fret)-del)-del*SQR(fp-fptt); 
+      if (t < 0.0) { 
+	linmin(p,xit,n,fret,func); 
+	for (j=1;j<=n;j++) { 
+	  xi[j][ibig]=xi[j][n]; 
+	  xi[j][n]=xit[j]; 
+	}
+#ifdef DEBUG
+	printf("Direction changed  last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
+	fprintf(ficlog,"Direction changed  last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
+	for(j=1;j<=n;j++){
+	  printf(" %.12e",xit[j]);
+	  fprintf(ficlog," %.12e",xit[j]);
+	}
+	printf("\n");
+	fprintf(ficlog,"\n");
+#endif
+      }
+    } 
+  } 
+} 
+
+/**** Prevalence limit (stable or period prevalence)  ****************/
+
+double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int ij)
+{
+  /* Computes the prevalence limit in each live state at age x by left multiplying the unit
+     matrix by transitions matrix until convergence is reached */
+
+  int i, ii,j,k;
+  double min, max, maxmin, maxmax,sumnew=0.;
+  /* double **matprod2(); */ /* test */
+  double **out, cov[NCOVMAX+1], **pmij();
+  double **newm;
+  double agefin, delaymax=50 ; /* Max number of years to converge */
+
+  for (ii=1;ii<=nlstate+ndeath;ii++)
+    for (j=1;j<=nlstate+ndeath;j++){
+      oldm[ii][j]=(ii==j ? 1.0 : 0.0);
+    }
+
+   cov[1]=1.;
+ 
+ /* Even if hstepm = 1, at least one multiplication by the unit matrix */
+  for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){
+    newm=savm;
+    /* Covariates have to be included here again */
+    cov[2]=agefin;
+    
+    for (k=1; k<=cptcovn;k++) {
+      cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];
+      /*printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtab[%d][Tvar[%d]]=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k], ij, k, codtab[ij][Tvar[k]]);*/
+    }
+    /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */
+    /* for (k=1; k<=cptcovprod;k++) /\* Useless *\/ */
+    /*   cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]] * nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]]; */
+    
+    /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/
+    /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/
+    /*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/
+    /* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */
+    /* out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /\* Bug Valgrind *\/ */
+    out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* Bug Valgrind */
+    
+    savm=oldm;
+    oldm=newm;
+    maxmax=0.;
+    for(j=1;j<=nlstate;j++){
+      min=1.;
+      max=0.;
+      for(i=1; i<=nlstate; i++) {
+	sumnew=0;
+	for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];
+	prlim[i][j]= newm[i][j]/(1-sumnew);
+        /*printf(" prevalim i=%d, j=%d, prmlim[%d][%d]=%f, agefin=%d \n", i, j, i, j, prlim[i][j],(int)agefin);*/
+	max=FMAX(max,prlim[i][j]);
+	min=FMIN(min,prlim[i][j]);
+      }
+      maxmin=max-min;
+      maxmax=FMAX(maxmax,maxmin);
+    }
+    if(maxmax < ftolpl){
+      return prlim;
+    }
+  }
+}
+
+/*************** transition probabilities ***************/ 
+
+double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate )
+{
+  /* According to parameters values stored in x and the covariate's values stored in cov,
+     computes the probability to be observed in state j being in state i by appying the
+     model to the ncovmodel covariates (including constant and age).
+     lnpijopii=ln(pij/pii)= aij+bij*age+cij*v1+dij*v2+... = sum_nc=1^ncovmodel xij(nc)*cov[nc]
+     and, according on how parameters are entered, the position of the coefficient xij(nc) of the
+     ncth covariate in the global vector x is given by the formula:
+     j<i nc+((i-1)*(nlstate+ndeath-1)+j-1)*ncovmodel
+     j>=i nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel
+     Computes ln(pij/pii) (lnpijopii), deduces pij/pii by exponentiation,
+     sums on j different of i to get 1-pii/pii, deduces pii, and then all pij.
+     Outputs ps[i][j] the probability to be observed in j being in j according to
+     the values of the covariates cov[nc] and corresponding parameter values x[nc+shiftij]
+  */
+  double s1, lnpijopii;
+  /*double t34;*/
+  int i,j,j1, nc, ii, jj;
+
+    for(i=1; i<= nlstate; i++){
+      for(j=1; j<i;j++){
+	for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){
+	  /*lnpijopii += param[i][j][nc]*cov[nc];*/
+	  lnpijopii += x[nc+((i-1)*(nlstate+ndeath-1)+j-1)*ncovmodel]*cov[nc];
+/* 	 printf("Int j<i s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */
+	}
+	ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */
+/* 	printf("s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */
+      }
+      for(j=i+1; j<=nlstate+ndeath;j++){
+	for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){
+	  /*lnpijopii += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];*/
+	  lnpijopii += x[nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel]*cov[nc];
+/* 	  printf("Int j>i s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */
+	}
+	ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */
+      }
+    }
+    
+    for(i=1; i<= nlstate; i++){
+      s1=0;
+      for(j=1; j<i; j++){
+	s1+=exp(ps[i][j]); /* In fact sums pij/pii */
+	/*printf("debug1 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */
+      }
+      for(j=i+1; j<=nlstate+ndeath; j++){
+	s1+=exp(ps[i][j]); /* In fact sums pij/pii */
+	/*printf("debug2 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */
+      }
+      /* s1= sum_{j<>i} pij/pii=(1-pii)/pii and thus pii is known from s1 */
+      ps[i][i]=1./(s1+1.);
+      /* Computing other pijs */
+      for(j=1; j<i; j++)
+	ps[i][j]= exp(ps[i][j])*ps[i][i];
+      for(j=i+1; j<=nlstate+ndeath; j++)
+	ps[i][j]= exp(ps[i][j])*ps[i][i];
+      /* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */
+    } /* end i */
+    
+    for(ii=nlstate+1; ii<= nlstate+ndeath; ii++){
+      for(jj=1; jj<= nlstate+ndeath; jj++){
+	ps[ii][jj]=0;
+	ps[ii][ii]=1;
+      }
+    }
+    
+    
+    /* for(ii=1; ii<= nlstate+ndeath; ii++){ */
+    /*   for(jj=1; jj<= nlstate+ndeath; jj++){ */
+    /* 	printf(" pmij  ps[%d][%d]=%lf ",ii,jj,ps[ii][jj]); */
+    /*   } */
+    /*   printf("\n "); */
+    /* } */
+    /* printf("\n ");printf("%lf ",cov[2]);*/
+    /*
+      for(i=1; i<= npar; i++) printf("%f ",x[i]);
+      goto end;*/
+    return ps;
+}
+
+/**************** Product of 2 matrices ******************/
+
+double **matprod2(double **out, double **in,int nrl, int nrh, int ncl, int nch, int ncolol, int ncoloh, double **b)
+{
+  /* Computes the matrix product of in(1,nrh-nrl+1)(1,nch-ncl+1) times
+     b(1,nch-ncl+1)(1,ncoloh-ncolol+1) into out(...) */
+  /* in, b, out are matrice of pointers which should have been initialized 
+     before: only the contents of out is modified. The function returns
+     a pointer to pointers identical to out */
+  int i, j, k;
+  for(i=nrl; i<= nrh; i++)
+    for(k=ncolol; k<=ncoloh; k++){
+      out[i][k]=0.;
+      for(j=ncl; j<=nch; j++)
+  	out[i][k] +=in[i][j]*b[j][k];
+    }
+  return out;
+}
+
+
+/************* Higher Matrix Product ***************/
+
+double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij )
+{
+  /* Computes the transition matrix starting at age 'age' over 
+     'nhstepm*hstepm*stepm' months (i.e. until
+     age (in years)  age+nhstepm*hstepm*stepm/12) by multiplying 
+     nhstepm*hstepm matrices. 
+     Output is stored in matrix po[i][j][h] for h every 'hstepm' step 
+     (typically every 2 years instead of every month which is too big 
+     for the memory).
+     Model is determined by parameters x and covariates have to be 
+     included manually here. 
+
+     */
+
+  int i, j, d, h, k;
+  double **out, cov[NCOVMAX+1];
+  double **newm;
+
+  /* Hstepm could be zero and should return the unit matrix */
+  for (i=1;i<=nlstate+ndeath;i++)
+    for (j=1;j<=nlstate+ndeath;j++){
+      oldm[i][j]=(i==j ? 1.0 : 0.0);
+      po[i][j][0]=(i==j ? 1.0 : 0.0);
+    }
+  /* Even if hstepm = 1, at least one multiplication by the unit matrix */
+  for(h=1; h <=nhstepm; h++){
+    for(d=1; d <=hstepm; d++){
+      newm=savm;
+      /* Covariates have to be included here again */
+      cov[1]=1.;
+      cov[2]=age+((h-1)*hstepm + (d-1))*stepm/YEARM;
+      for (k=1; k<=cptcovn;k++) 
+	cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];
+      for (k=1; k<=cptcovage;k++)
+	cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
+      for (k=1; k<=cptcovprod;k++) /* Useless because included in cptcovn */
+	cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];
+
+
+      /*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/
+      /*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,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;
+    }
+    for(i=1; i<=nlstate+ndeath; i++)
+      for(j=1;j<=nlstate+ndeath;j++) {
+	po[i][j][h]=newm[i][j];
+	/*if(h==nhstepm) printf("po[%d][%d][%d]=%f ",i,j,h,po[i][j][h]);*/
+      }
+    /*printf("h=%d ",h);*/
+  } /* end h */
+/*     printf("\n H=%d \n",h); */
+  return po;
+}
+
+
+/*************** log-likelihood *************/
+double func( double *x)
+{
+  int i, ii, j, k, mi, d, kk;
+  double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1];
+  double **out;
+  double sw; /* Sum of weights */
+  double lli; /* Individual log likelihood */
+  int s1, s2;
+  double bbh, survp;
+  long ipmx;
+  /*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.;
+
+  if(mle==1){
+    for (i=1,ipmx=0, sw=0.; i<=imx; i++){
+      /* Computes the values of the ncovmodel covariates of the model
+	 depending if the covariates are fixed or variying (age dependent) and stores them in cov[]
+	 Then computes with function pmij which return a matrix p[i][j] giving the elementary probability
+	 to be observed in j being in i according to the model.
+       */
+      for (k=1; k<=cptcovn;k++){ /* Simple and product covariates without age* products */
+	cov[2+k]=covar[Tvar[k]][i];
+      }
+      /* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4] 
+	 is 6, Tvar[3=age*V3] should not be computed because of age Tvar[4=V3*V2] 
+	 has been calculated etc */
+      for(mi=1; mi<= wav[i]-1; mi++){
+	for (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]; /* Tage[kk] gives the data-covariate associated with age */
+	  }
+	  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 */
+      
+	/*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 at 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'. Then 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 negative 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];
+	s2=s[mw[mi+1][i]][i];
+	bbh=(double)bh[mi][i]/(double)stepm; 
+	/* bias bh is positive if real duration
+	 * 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]));*/
+	if( s2 > nlstate){ 
+	  /* i.e. if s2 is a death state and if the date of death is known 
+	     then the contribution to the likelihood is the probability to 
+	     die between last step unit time and current  step unit time, 
+	     which is also equal to probability to die before dh 
+	     minus probability to die before dh-stepm . 
+	     In version up to 0.92 likelihood was computed
+	as if date of death was unknown. Death was treated as any other
+	health state: the date of the interview describes the actual state
+	and not the date of a change in health state. The former idea was
+	to consider that at each interview the state was recorded
+	(healthy, disable or death) and IMaCh was corrected; but when we
+	introduced the exact date of death then we should have modified
+	the contribution of an exact death to the likelihood. This new
+	contribution is smaller and very dependent of the step unit
+	stepm. It is no more the probability to die between last interview
+	and month of death but the probability to survive from last
+	interview up to one month before death multiplied by the
+	probability to die within a month. Thanks to Chris
+	Jackson for correcting this bug.  Former versions increased
+	mortality artificially. The bad side is that we add another loop
+	which slows down the processing. The difference can be up to 10%
+	lower mortality.
+	  */
+	  lli=log(out[s1][s2] - savm[s1][s2]);
+
+
+	} else if  (s2==-2) {
+	  for (j=1,survp=0. ; j<=nlstate; j++) 
+	    survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j];
+	  /*survp += out[s1][j]; */
+	  lli= log(survp);
+	}
+	
+ 	else if  (s2==-4) { 
+	  for (j=3,survp=0. ; j<=nlstate; j++)  
+	    survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j];
+ 	  lli= log(survp); 
+ 	} 
+
+ 	else if  (s2==-5) { 
+ 	  for (j=1,survp=0. ; j<=2; j++)  
+	    survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j];
+ 	  lli= log(survp); 
+ 	} 
+	
+	else{
+	  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=(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;
+	sw += weight[i];
+	ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
+      } /* end of wave */
+    } /* end of individual */
+  }  else if(mle==2){
+    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; 
+	lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*(savm[s1][s2])):log((1.+bbh)*out[s1][s2])); /* linear interpolation */
+	ipmx +=1;
+	sw += weight[i];
+	ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
+      } /* end of wave */
+    } /* end of individual */
+  }  else if(mle==3){  /* exponential 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];
+	bbh=(double)bh[mi][i]/(double)stepm; 
+	lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */
+	ipmx +=1;
+	sw += weight[i];
+	ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;
+      } /* end of wave */
+    } /* end of individual */
+  }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 (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];
+	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 */
+  } /* End of if */
+  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 */
+  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+1], cov[NCOVMAX+1];
+  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];
+	}
+	/* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */
+	out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
+		     1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
+	/* 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  (s2==-2) {
+	for (j=1,survp=0. ; j<=nlstate; j++) 
+	  survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j];
+	lli= log(survp);
+      }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{  /* mle=0 back to 1 */
+	lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
+	/*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,"%9ld %6d %2d %2d %1d %1d %3d %11.6f %8.4f\
+ %11.6f %11.6f %11.6f ", \
+		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 ***************/
+
+void mlikeli(FILE *ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (*func)(double []))
+{
+  int i,j, iter;
+  double **xi;
+  double fret;
+  double fretone; /* Only one call to likelihood */
+  /*  char filerespow[FILENAMELENGTH];*/
+  xi=matrix(1,npar,1,npar);
+  for (i=1;i<=npar;i++)
+    for (j=1;j<=npar;j++)
+      xi[i][j]=(i==j ? 1.0 : 0.0);
+  printf("Powell\n");  fprintf(ficlog,"Powell\n");
+  strcpy(filerespow,"pow"); 
+  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,xi,npar,ftol,&iter,&fret,func);
+
+  free_matrix(xi,1,npar,1,npar);
+  fclose(ficrespow);
+  printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));
+  fprintf(ficlog,"\n#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));
+  fprintf(ficres,"#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));
+
+}
+
+/**** Computes Hessian and covariance matrix ***/
+void hesscov(double **matcov, double p[], int npar, double delti[], double ftolhess, double (*func)(double []))
+{
+  double  **a,**y,*x,pd;
+  double **hess;
+  int i, j,jk;
+  int *indx;
+
+  double hessii(double p[], double delta, int theta, double delti[],double (*func)(double []),int npar);
+  double hessij(double p[], double delti[], int i, int j,double (*func)(double []),int npar);
+  void lubksb(double **a, int npar, int *indx, double b[]) ;
+  void ludcmp(double **a, int npar, int *indx, double *d) ;
+  double gompertz(double p[]);
+  hess=matrix(1,npar,1,npar);
+
+  printf("\nCalculation of the hessian matrix. Wait...\n");
+  fprintf(ficlog,"\nCalculation of the hessian matrix. Wait...\n");
+  for (i=1;i<=npar;i++){
+    printf("%d",i);fflush(stdout);
+    fprintf(ficlog,"%d",i);fflush(ficlog);
+   
+     hess[i][i]=hessii(p,ftolhess,i,delti,func,npar);
+    
+    /*  printf(" %f ",p[i]);
+	printf(" %lf %lf %lf",hess[i][i],ftolhess,delti[i]);*/
+  }
+  
+  for (i=1;i<=npar;i++) {
+    for (j=1;j<=npar;j++)  {
+      if (j>i) { 
+	printf(".%d%d",i,j);fflush(stdout);
+	fprintf(ficlog,".%d%d",i,j);fflush(ficlog);
+	hess[i][j]=hessij(p,delti,i,j,func,npar);
+	
+	hess[j][i]=hess[i][j];    
+	/*printf(" %lf ",hess[i][j]);*/
+      }
+    }
+  }
+  printf("\n");
+  fprintf(ficlog,"\n");
+
+  printf("\nInverting the hessian to get the covariance matrix. Wait...\n");
+  fprintf(ficlog,"\nInverting the hessian to get the covariance matrix. Wait...\n");
+  
+  a=matrix(1,npar,1,npar);
+  y=matrix(1,npar,1,npar);
+  x=vector(1,npar);
+  indx=ivector(1,npar);
+  for (i=1;i<=npar;i++)
+    for (j=1;j<=npar;j++) a[i][j]=hess[i][j];
+  ludcmp(a,npar,indx,&pd);
+
+  for (j=1;j<=npar;j++) {
+    for (i=1;i<=npar;i++) x[i]=0;
+    x[j]=1;
+    lubksb(a,npar,indx,x);
+    for (i=1;i<=npar;i++){ 
+      matcov[i][j]=x[i];
+    }
+  }
+
+  printf("\n#Hessian matrix#\n");
+  fprintf(ficlog,"\n#Hessian matrix#\n");
+  for (i=1;i<=npar;i++) { 
+    for (j=1;j<=npar;j++) { 
+      printf("%.3e ",hess[i][j]);
+      fprintf(ficlog,"%.3e ",hess[i][j]);
+    }
+    printf("\n");
+    fprintf(ficlog,"\n");
+  }
+
+  /* Recompute Inverse */
+  for (i=1;i<=npar;i++)
+    for (j=1;j<=npar;j++) a[i][j]=matcov[i][j];
+  ludcmp(a,npar,indx,&pd);
+
+  /*  printf("\n#Hessian matrix recomputed#\n");
+
+  for (j=1;j<=npar;j++) {
+    for (i=1;i<=npar;i++) x[i]=0;
+    x[j]=1;
+    lubksb(a,npar,indx,x);
+    for (i=1;i<=npar;i++){ 
+      y[i][j]=x[i];
+      printf("%.3e ",y[i][j]);
+      fprintf(ficlog,"%.3e ",y[i][j]);
+    }
+    printf("\n");
+    fprintf(ficlog,"\n");
+  }
+  */
+
+  free_matrix(a,1,npar,1,npar);
+  free_matrix(y,1,npar,1,npar);
+  free_vector(x,1,npar);
+  free_ivector(indx,1,npar);
+  free_matrix(hess,1,npar,1,npar);
+
+
+}
+
+/*************** hessian matrix ****************/
+double hessii(double x[], double delta, int theta, double delti[], double (*func)(double []), int npar)
+{
+  int i;
+  int l=1, lmax=20;
+  double k1,k2;
+  double p2[MAXPARM+1]; /* identical to x */
+  double res;
+  double delt=0.0001, delts, nkhi=10.,nkhif=1., khi=1.e-4;
+  double fx;
+  int k=0,kmax=10;
+  double l1;
+
+  fx=func(x);
+  for (i=1;i<=npar;i++) p2[i]=x[i];
+  for(l=0 ; l <=lmax; l++){  /* Enlarging the zone around the Maximum */
+    l1=pow(10,l);
+    delts=delt;
+    for(k=1 ; k <kmax; k=k+1){
+      delt = delta*(l1*k);
+      p2[theta]=x[theta] +delt;
+      k1=func(p2)-fx;   /* Might be negative if too close to the theoretical maximum */
+      p2[theta]=x[theta]-delt;
+      k2=func(p2)-fx;
+      /*res= (k1-2.0*fx+k2)/delt/delt; */
+      res= (k1+k2)/delt/delt/2.; /* Divided by because L and not 2*L */
+      
+#ifdef DEBUGHESS
+      printf("%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);
+      fprintf(ficlog,"%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);
+#endif
+      /*if(fabs(k1-2.0*fx+k2) <1.e-13){ */
+      if((k1 <khi/nkhi/2.) || (k2 <khi/nkhi/2.)){
+	k=kmax;
+      }
+      else if((k1 >khi/nkhif) || (k2 >khi/nkhif)){ /* Keeps lastvalue before 3.84/2 KHI2 5% 1d.f. */
+	k=kmax; l=lmax*10.;
+      }
+      else if((k1 >khi/nkhi) || (k2 >khi/nkhi)){ 
+	delts=delt;
+      }
+    }
+  }
+  delti[theta]=delts;
+  return res; 
+  
+}
+
+double hessij( double x[], double delti[], int thetai,int thetaj,double (*func)(double []),int npar)
+{
+  int i;
+  int l=1, l1, lmax=20;
+  double k1,k2,k3,k4,res,fx;
+  double p2[MAXPARM+1];
+  int k;
+
+  fx=func(x);
+  for (k=1; k<=2; k++) {
+    for (i=1;i<=npar;i++) p2[i]=x[i];
+    p2[thetai]=x[thetai]+delti[thetai]/k;
+    p2[thetaj]=x[thetaj]+delti[thetaj]/k;
+    k1=func(p2)-fx;
+  
+    p2[thetai]=x[thetai]+delti[thetai]/k;
+    p2[thetaj]=x[thetaj]-delti[thetaj]/k;
+    k2=func(p2)-fx;
+  
+    p2[thetai]=x[thetai]-delti[thetai]/k;
+    p2[thetaj]=x[thetaj]+delti[thetaj]/k;
+    k3=func(p2)-fx;
+  
+    p2[thetai]=x[thetai]-delti[thetai]/k;
+    p2[thetaj]=x[thetaj]-delti[thetaj]/k;
+    k4=func(p2)-fx;
+    res=(k1-k2-k3+k4)/4.0/delti[thetai]*k/delti[thetaj]*k/2.; /* Because of L not 2*L */
+#ifdef DEBUG
+    printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e  res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
+    fprintf(ficlog,"%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e  res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
+#endif
+  }
+  return res;
+}
+
+/************** Inverse of matrix **************/
+void ludcmp(double **a, int n, int *indx, double *d) 
+{ 
+  int i,imax,j,k; 
+  double big,dum,sum,temp; 
+  double *vv; 
+ 
+  vv=vector(1,n); 
+  *d=1.0; 
+  for (i=1;i<=n;i++) { 
+    big=0.0; 
+    for (j=1;j<=n;j++) 
+      if ((temp=fabs(a[i][j])) > big) big=temp; 
+    if (big == 0.0) nrerror("Singular matrix in routine ludcmp"); 
+    vv[i]=1.0/big; 
+  } 
+  for (j=1;j<=n;j++) { 
+    for (i=1;i<j;i++) { 
+      sum=a[i][j]; 
+      for (k=1;k<i;k++) sum -= a[i][k]*a[k][j]; 
+      a[i][j]=sum; 
+    } 
+    big=0.0; 
+    for (i=j;i<=n;i++) { 
+      sum=a[i][j]; 
+      for (k=1;k<j;k++) 
+	sum -= a[i][k]*a[k][j]; 
+      a[i][j]=sum; 
+      if ( (dum=vv[i]*fabs(sum)) >= big) { 
+	big=dum; 
+	imax=i; 
+      } 
+    } 
+    if (j != imax) { 
+      for (k=1;k<=n;k++) { 
+	dum=a[imax][k]; 
+	a[imax][k]=a[j][k]; 
+	a[j][k]=dum; 
+      } 
+      *d = -(*d); 
+      vv[imax]=vv[j]; 
+    } 
+    indx[j]=imax; 
+    if (a[j][j] == 0.0) a[j][j]=TINY; 
+    if (j != n) { 
+      dum=1.0/(a[j][j]); 
+      for (i=j+1;i<=n;i++) a[i][j] *= dum; 
+    } 
+  } 
+  free_vector(vv,1,n);  /* Doesn't work */
+;
+} 
+
+void lubksb(double **a, int n, int *indx, double b[]) 
+{ 
+  int i,ii=0,ip,j; 
+  double sum; 
+ 
+  for (i=1;i<=n;i++) { 
+    ip=indx[i]; 
+    sum=b[ip]; 
+    b[ip]=b[i]; 
+    if (ii) 
+      for (j=ii;j<=i-1;j++) sum -= a[i][j]*b[j]; 
+    else if (sum) ii=i; 
+    b[i]=sum; 
+  } 
+  for (i=n;i>=1;i--) { 
+    sum=b[i]; 
+    for (j=i+1;j<=n;j++) sum -= a[i][j]*b[j]; 
+    b[i]=sum/a[i][i]; 
+  } 
+} 
+
+void pstamp(FILE *fichier)
+{
+  fprintf(fichier,"# %s.%s\n#%s\n#%s\n# %s", optionfilefiname,optionfilext,version,fullversion,strstart);
+}
+
+/************ 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, char strstart[])
+{  /* Some frequencies */
+  
+  int i, m, jk, k1,i1, j1, bool, z1,j;
+  int first;
+  double ***freq; /* Frequencies */
+  double *pp, **prop;
+  double pos,posprop, k2, dateintsum=0,k2cpt=0;
+  char fileresp[FILENAMELENGTH];
+  
+  pp=vector(1,nlstate);
+  prop=matrix(1,nlstate,iagemin,iagemax+3);
+  strcpy(fileresp,"p");
+  strcat(fileresp,fileres);
+  if((ficresp=fopen(fileresp,"w"))==NULL) {
+    printf("Problem with prevalence resultfile: %s\n", fileresp);
+    fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);
+    exit(0);
+  }
+  freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin,iagemax+3);
+  j1=0;
+  
+  j=cptcoveff;
+  if (cptcovn<1) {j=1;ncodemax[1]=1;}
+
+  first=1;
+
+  /* for(k1=1; k1<=j ; k1++){   /* Loop on covariates */
+  /*  for(i1=1; i1<=ncodemax[k1];i1++){ /* Now it is 2 */
+  /*    j1++;
+*/
+  for (j1 = 1; j1 <= (int) pow(2,cptcoveff); j1++){
+      /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);
+	scanf("%d", i);*/
+      for (i=-5; i<=nlstate+ndeath; i++)  
+	for (jk=-5; jk<=nlstate+ndeath; jk++)  
+	  for(m=iagemin; m <= iagemax+3; m++)
+	    freq[i][jk][m]=0;
+      
+      for (i=1; i<=nlstate; i++)  
+	for(m=iagemin; m <= iagemax+3; m++)
+	  prop[i][m]=0;
+      
+      dateintsum=0;
+      k2cpt=0;
+      for (i=1; i<=imx; i++) {
+	bool=1;
+	if  (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */
+	  for (z1=1; z1<=cptcoveff; z1++)       
+            if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]){
+                /* Tests if the value of each of the covariates of i is equal to filter j1 */
+              bool=0;
+              /* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtab[%d][%d]=%d, nbcode[Tvaraff][codtab[%d][%d]=%d, j1=%d\n", 
+                bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtab[j1][z1],
+                j1,z1,nbcode[Tvaraff[z1]][codtab[j1][z1]],j1);*/
+              /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtab[7][3]=1 and nbcde[3][?]=1*/
+            } 
+	}
+ 
+	if (bool==1){
+	  for(m=firstpass; m<=lastpass; m++){
+	    k2=anint[m][i]+(mint[m][i]/12.);
+	    /*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/
+	      if(agev[m][i]==0) agev[m][i]=iagemax+1;
+	      if(agev[m][i]==1) agev[m][i]=iagemax+2;
+	      if (s[m][i]>0 && s[m][i]<=nlstate) prop[s[m][i]][(int)agev[m][i]] += weight[i];
+	      if (m<lastpass) {
+		freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];
+		freq[s[m][i]][s[m+1][i]][iagemax+3] += weight[i];
+	      }
+	      
+	      if ((agev[m][i]>1) && (agev[m][i]< (iagemax+3))) {
+		dateintsum=dateintsum+k2;
+		k2cpt++;
+	      }
+	      /*}*/
+	  }
+	}
+      } /* end i */
+       
+      /*      fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
+      pstamp(ficresp);
+      if  (cptcovn>0) {
+	fprintf(ficresp, "\n#********** Variable "); 
+	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
+	fprintf(ficresp, "**********\n#");
+	fprintf(ficlog, "\n#********** Variable "); 
+	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
+	fprintf(ficlog, "**********\n#");
+      }
+      for(i=1; i<=nlstate;i++) 
+	fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);
+      fprintf(ficresp, "\n");
+      
+      for(i=iagemin; i <= iagemax+3; i++){
+	if(i==iagemax+3){
+	  fprintf(ficlog,"Total");
+	}else{
+	  if(first==1){
+	    first=0;
+	    printf("See log file for details...\n");
+	  }
+	  fprintf(ficlog,"Age %d", i);
+	}
+	for(jk=1; jk <=nlstate ; jk++){
+	  for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++)
+	    pp[jk] += freq[jk][m][i]; 
+	}
+	for(jk=1; jk <=nlstate ; jk++){
+	  for(m=-1, pos=0; m <=0 ; m++)
+	    pos += freq[jk][m][i];
+	  if(pp[jk]>=1.e-10){
+	    if(first==1){
+	      printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
+	    }
+	    fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
+	  }else{
+	    if(first==1)
+	      printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk);
+	    fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk);
+	  }
+	}
+
+	for(jk=1; jk <=nlstate ; jk++){
+	  for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)
+	    pp[jk] += freq[jk][m][i];
+	}	
+	for(jk=1,pos=0,posprop=0; jk <=nlstate ; jk++){
+	  pos += pp[jk];
+	  posprop += prop[jk][i];
+	}
+	for(jk=1; jk <=nlstate ; jk++){
+	  if(pos>=1.e-5){
+	    if(first==1)
+	      printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos);
+	    fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos);
+	  }else{
+	    if(first==1)
+	      printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
+	    fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
+	  }
+	  if( i <= iagemax){
+	    if(pos>=1.e-5){
+	      fprintf(ficresp," %d %.5f %.0f %.0f",i,prop[jk][i]/posprop, prop[jk][i],posprop);
+	      /*probs[i][jk][j1]= pp[jk]/pos;*/
+	      /*printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);*/
+	    }
+	    else
+	      fprintf(ficresp," %d NaNq %.0f %.0f",i,prop[jk][i],posprop);
+	  }
+	}
+	
+	for(jk=-1; jk <=nlstate+ndeath; jk++)
+	  for(m=-1; m <=nlstate+ndeath; m++)
+	    if(freq[jk][m][i] !=0 ) {
+	    if(first==1)
+	      printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);
+	      fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]);
+	    }
+	if(i <= iagemax)
+	  fprintf(ficresp,"\n");
+	if(first==1)
+	  printf("Others in log...\n");
+	fprintf(ficlog,"\n");
+      }
+      /*}*/
+  }
+  dateintmean=dateintsum/k2cpt; 
+ 
+  fclose(ficresp);
+  free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin, iagemax+3);
+  free_vector(pp,1,nlstate);
+  free_matrix(prop,1,nlstate,iagemin, iagemax+3);
+  /* End of Freq */
+}
+
+/************ Prevalence ********************/
+void prevalence(double ***probs, double agemin, double agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, int firstpass, int lastpass)
+{  
+  /* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people
+     in each health status at the date of interview (if between dateprev1 and dateprev2).
+     We still use firstpass and lastpass as another selection.
+  */
+ 
+  int i, m, jk, k1, i1, j1, bool, z1,j;
+  double ***freq; /* Frequencies */
+  double *pp, **prop;
+  double pos,posprop; 
+  double  y2; /* in fractional years */
+  int iagemin, iagemax;
+  int first; /** to stop verbosity which is redirected to log file */
+
+  iagemin= (int) agemin;
+  iagemax= (int) agemax;
+  /*pp=vector(1,nlstate);*/
+  prop=matrix(1,nlstate,iagemin,iagemax+3); 
+  /*  freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/
+  j1=0;
+  
+  /*j=cptcoveff;*/
+  if (cptcovn<1) {j=1;ncodemax[1]=1;}
+  
+  first=1;
+  for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){
+    /*for(i1=1; i1<=ncodemax[k1];i1++){
+      j1++;*/
+      
+      for (i=1; i<=nlstate; i++)  
+	for(m=iagemin; m <= iagemax+3; m++)
+	  prop[i][m]=0.0;
+     
+      for (i=1; i<=imx; i++) { /* Each individual */
+	bool=1;
+	if  (cptcovn>0) {
+	  for (z1=1; z1<=cptcoveff; z1++) 
+	    if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]) 
+	      bool=0;
+	} 
+	if (bool==1) { 
+	  for(m=firstpass; m<=lastpass; m++){/* Other selection (we can limit to certain interviews*/
+	    y2=anint[m][i]+(mint[m][i]/12.); /* Fractional date in year */
+	    if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */
+	      if(agev[m][i]==0) agev[m][i]=iagemax+1;
+	      if(agev[m][i]==1) agev[m][i]=iagemax+2;
+	      if((int)agev[m][i] <iagemin || (int)agev[m][i] >iagemax+3) printf("Error on individual =%d agev[m][i]=%f m=%d\n",i, agev[m][i],m); 
+ 	      if (s[m][i]>0 && s[m][i]<=nlstate) { 
+		/*if(i>4620) printf(" i=%d m=%d s[m][i]=%d (int)agev[m][i]=%d weight[i]=%f prop=%f\n",i,m,s[m][i],(int)agev[m][m],weight[i],prop[s[m][i]][(int)agev[m][i]]);*/
+ 		prop[s[m][i]][(int)agev[m][i]] += weight[i];
+ 		prop[s[m][i]][iagemax+3] += weight[i]; 
+ 	      } 
+	    }
+	  } /* end selection of waves */
+	}
+      }
+      for(i=iagemin; i <= iagemax+3; i++){  
+ 	for(jk=1,posprop=0; jk <=nlstate ; jk++) { 
+ 	  posprop += prop[jk][i]; 
+ 	} 
+	
+ 	for(jk=1; jk <=nlstate ; jk++){	    
+ 	  if( i <=  iagemax){ 
+ 	    if(posprop>=1.e-5){ 
+ 	      probs[i][jk][j1]= prop[jk][i]/posprop;
+ 	    } else{
+	      if(first==1){
+		first=0;
+		printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\nSee others on log file...\n",jk,i,j1,probs[i][jk][j1]);
+	      }
+	    }
+ 	  } 
+ 	}/* end jk */ 
+      }/* end i */ 
+    /*} *//* end i1 */
+  } /* end j1 */
+  
+  /*  free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/
+  /*free_vector(pp,1,nlstate);*/
+  free_matrix(prop,1,nlstate, iagemin,iagemax+3);
+}  /* End of prevalence */
+
+/************* Waves Concatenation ***************/
+
+void  concatwav(int wav[], int **dh, int **bh,  int **mw, int **s, double *agedc, double **agev, int  firstpass, int lastpass, int imx, int nlstate, int stepm)
+{
+  /* Concatenates waves: wav[i] is the number of effective (useful waves) of individual i.
+     Death is a valid wave (if date is known).
+     mw[mi][i] is the mi (mi=1 to wav[i])  effective wave of individual i
+     dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i]
+     and mw[mi+1][i]. dh depends on stepm.
+     */
+
+  int i, mi, m;
+  /* int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1;
+     double sum=0., jmean=0.;*/
+  int first;
+  int j, k=0,jk, ju, jl;
+  double sum=0.;
+  first=0;
+  jmin=1e+5;
+  jmax=-1;
+  jmean=0.;
+  for(i=1; i<=imx; i++){
+    mi=0;
+    m=firstpass;
+    while(s[m][i] <= nlstate){
+      if(s[m][i]>=1 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5)
+	mw[++mi][i]=m;
+      if(m >=lastpass)
+	break;
+      else
+	m++;
+    }/* end while */
+    if (s[m][i] > nlstate){
+      mi++;	/* Death is another wave */
+      /* if(mi==0)  never been interviewed correctly before death */
+	 /* Only death is a correct wave */
+      mw[mi][i]=m;
+    }
+
+    wav[i]=mi;
+    if(mi==0){
+      nbwarn++;
+      if(first==0){
+	printf("Warning! No valid information for individual %ld line=%d (skipped) and may be others, see log file\n",num[i],i);
+	first=1;
+      }
+      if(first==1){
+	fprintf(ficlog,"Warning! No valid information for individual %ld line=%d (skipped)\n",num[i],i);
+      }
+    } /* end mi==0 */
+  } /* End individuals */
+
+  for(i=1; i<=imx; i++){
+    for(mi=1; mi<wav[i];mi++){
+      if (stepm <=0)
+	dh[mi][i]=1;
+      else{
+	if (s[mw[mi+1][i]][i] > nlstate) { /* A death */
+	  if (agedc[i] < 2*AGESUP) {
+	    j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12); 
+	    if(j==0) j=1;  /* Survives at least one month after exam */
+	    else if(j<0){
+	      nberr++;
+	      printf("Error! Negative delay (%d to death) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
+	      j=1; /* Temporary Dangerous patch */
+	      printf("   We assumed that the date of interview was correct (and not the date of death) and postponed the death %d month(s) (one stepm) after the interview. You MUST fix the contradiction between dates.\n",stepm);
+	      fprintf(ficlog,"Error! Negative delay (%d to death) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
+	      fprintf(ficlog,"   We assumed that the date of interview was correct (and not the date of death) and postponed the death %d month(s) (one stepm) after the interview. You MUST fix the contradiction between dates.\n",stepm);
+	    }
+	    k=k+1;
+	    if (j >= jmax){
+	      jmax=j;
+	      ijmax=i;
+	    }
+	    if (j <= jmin){
+	      jmin=j;
+	      ijmin=i;
+	    }
+	    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{
+	  j= rint( (agev[mw[mi+1][i]][i]*12 - agev[mw[mi][i]][i]*12));
+/* 	  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;
+	  if (j >= jmax) {
+	    jmax=j;
+	    ijmax=i;
+	  }
+	  else if (j <= jmin){
+	    jmin=j;
+	    ijmin=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]);*/
+	  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;
+	}
+	jk= j/stepm;
+	jl= j -jk*stepm;
+	ju= j -(jk+1)*stepm;
+	if(mle <=1){ /* only if we use a the linear-interpoloation pseudo-likelihood */
+	  if(jl==0){
+	    dh[mi][i]=jk;
+	    bh[mi][i]=0;
+	  }else{ /* We want a negative bias in order to only have interpolation ie
+		  * to avoid the price of an extra matrix product in likelihood */
+	    dh[mi][i]=jk+1;
+	    bh[mi][i]=ju;
+	  }
+	}else{
+	  if(jl <= -ju){
+	    dh[mi][i]=jk;
+	    bh[mi][i]=jl;	/* bias is positive if real duration
+				 * is higher than the multiple of stepm and negative otherwise.
+				 */
+	  }
+	  else{
+	    dh[mi][i]=jk+1;
+	    bh[mi][i]=ju;
+	  }
+	  if(dh[mi][i]==0){
+	    dh[mi][i]=1; /* 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);*/
+	  }
+	} /* end if mle */
+      }
+    } /* end wave */
+  }
+  jmean=sum/k;
+  printf("Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f\n\n ",jmin, num[ijmin], jmax, num[ijmax], jmean);
+  fprintf(ficlog,"Delay (in months) between two waves Min=%d (for indiviudal %d) Max=%d (%d) Mean=%f\n\n ",jmin, ijmin, jmax, ijmax, jmean);
+ }
+
+/*********** Tricode ****************************/
+void tricode(int *Tvar, int **nbcode, int imx, int *Ndum)
+{
+  /**< Uses cptcovn+2*cptcovprod as the number of covariates */
+  /*	  Tvar[i]=atoi(stre);  find 'n' in Vn and stores in Tvar. If model=V2+V1 Tvar[1]=2 and Tvar[2]=1 
+  /* Boring subroutine which should only output nbcode[Tvar[j]][k]
+   * Tvar[5] in V2+V1+V3*age+V2*V4 is 2 (V2)
+  /* nbcode[Tvar[j]][1]= 
+  */
+
+  int ij=1, k=0, j=0, i=0, maxncov=NCOVMAX;
+  int modmaxcovj=0; /* Modality max of covariates j */
+  int cptcode=0; /* Modality max of covariates j */
+  int modmincovj=0; /* Modality min of covariates j */
+
+
+  cptcoveff=0; 
+ 
+  for (k=-1; k < maxncov; k++) Ndum[k]=0;
+  for (k=1; k <= maxncov; k++) ncodemax[k]=0; /* Horrible constant again replaced by NCOVMAX */
+
+  /* Loop on covariates without age and products */
+  for (j=1; j<=(cptcovs); j++) { /* model V1 + V2*age+ V3 + V3*V4 : V1 + V3 = 2 only */
+    for (i=1; i<=imx; i++) { /* Lopp on individuals: reads the data file to get the maximum value of the 
+			       modality of this covariate Vj*/ 
+      ij=(int)(covar[Tvar[j]][i]); /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i
+				    * If product of Vn*Vm, still boolean *:
+				    * If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables
+				    * 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0   */
+      /* Finds for covariate j, n=Tvar[j] of Vn . ij is the
+				      modality of the nth covariate of individual i. */
+      if (ij > modmaxcovj)
+        modmaxcovj=ij; 
+      else if (ij < modmincovj) 
+	modmincovj=ij; 
+      if ((ij < -1) && (ij > NCOVMAX)){
+	printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX );
+	exit(1);
+      }else
+      Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/
+      /*  If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */
+      /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/
+      /* getting the maximum value of the modality of the covariate
+	 (should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and
+	 female is 1, then modmaxcovj=1.*/
+    }
+    printf(" Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", j, Tvar[j], modmincovj, modmaxcovj);
+    cptcode=modmaxcovj;
+    /* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */
+   /*for (i=0; i<=cptcode; i++) {*/
+    for (i=modmincovj;  i<=modmaxcovj; i++) { /* i=-1 ? 0 and 1*//* For each value of the modality of model-cov j */
+      printf("Frequencies of covariates %d V%d %d\n", j, Tvar[j], Ndum[i]);
+      if( Ndum[i] != 0 ){ /* Counts if nobody answered, empty modality */
+	ncodemax[j]++;  /* ncodemax[j]= Number of non-null modalities of the j th covariate. */
+      }
+      /* In fact  ncodemax[j]=2 (dichotom. variables only) but it could be more for
+	 historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */
+    } /* Ndum[-1] number of undefined modalities */
+
+    /* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */
+    /* For covariate j, modalities could be 1, 2, 3, 4. If Ndum[2]=0 ncodemax[j] is not 4 but 3 */
+    /* If Ndum[3}= 635; Ndum[4]=0; Ndum[5]=0; Ndum[6]=27; Ndum[7]=125;
+       modmincovj=3; modmaxcovj = 7;
+       There are only 3 modalities non empty (or 2 if 27 is too few) : ncodemax[j]=3;
+       which will be coded 0, 1, 2 which in binary on 3-1 digits are 0=00 1=01, 2=10; defining two dummy 
+       variables V1_1 and V1_2.
+       nbcode[Tvar[j]][ij]=k;
+       nbcode[Tvar[j]][1]=0;
+       nbcode[Tvar[j]][2]=1;
+       nbcode[Tvar[j]][3]=2;
+    */
+    ij=1; /* ij is similar to i but can jumps over null modalities */
+    for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 */
+      for (k=0; k<= cptcode; k++) { /* k=-1 ? k=0 to 1 *//* Could be 1 to 4 */
+	/*recode from 0 */
+	if (Ndum[k] != 0) { /* If at least one individual responded to this modality k */
+	  nbcode[Tvar[j]][ij]=k;  /* stores the modality in an array nbcode. 
+				     k is a modality. If we have model=V1+V1*sex 
+				     then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */
+	  ij++;
+	}
+	if (ij > ncodemax[j]) break; 
+      }  /* end of loop on */
+    } /* end of loop on modality */ 
+  } /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/  
+  
+ for (k=-1; k< maxncov; k++) Ndum[k]=0; 
+  
+  for (i=1; i<=ncovmodel-2; i++) { /* -2, cste and age */ 
+   /* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/ 
+   ij=Tvar[i]; /* Tvar might be -1 if status was unknown */ 
+   Ndum[ij]++; 
+ } 
+
+ ij=1;
+ for (i=0; i<=  maxncov-1; i++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */
+   /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/
+   if((Ndum[i]!=0) && (i<=ncovcol)){
+     /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/
+     Tvaraff[ij]=i; /*For printing (unclear) */
+     ij++;
+   }else
+       Tvaraff[ij]=0;
+ }
+ ij--;
+ cptcoveff=ij; /*Number of total covariates*/
+
+}
+
+
+/*********** Health Expectancies ****************/
+
+void evsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,char strstart[] )
+
+{
+  /* Health expectancies, no variances */
+  int i, j, nhstepm, hstepm, h, nstepm, k, cptj, cptj2, i2, j2;
+  int nhstepma, nstepma; /* Decreasing with age */
+  double age, agelim, hf;
+  double ***p3mat;
+  double eip;
+
+  pstamp(ficreseij);
+  fprintf(ficreseij,"# (a) Life expectancies by health status at initial age and (b) health expectancies by health status at initial age\n");
+  fprintf(ficreseij,"# Age");
+  for(i=1; i<=nlstate;i++){
+    for(j=1; j<=nlstate;j++){
+      fprintf(ficreseij," e%1d%1d ",i,j);
+    }
+    fprintf(ficreseij," e%1d. ",i);
+  }
+  fprintf(ficreseij,"\n");
+
+  
+  if(estepm < stepm){
+    printf ("Problem %d lower than %d\n",estepm, stepm);
+  }
+  else  hstepm=estepm;   
+  /* We compute the life expectancy from trapezoids spaced every estepm months
+   * This is mainly to measure the difference between two models: for example
+   * if stepm=24 months pijx are given only every 2 years and by summing them
+   * we are calculating an estimate of the Life Expectancy assuming a linear 
+   * progression in between and thus overestimating or underestimating according
+   * to the curvature of the survival function. If, for the same date, we 
+   * estimate the model with stepm=1 month, we can keep estepm to 24 months
+   * to compare the new estimate of Life expectancy with the same linear 
+   * hypothesis. A more precise result, taking into account a more precise
+   * curvature will be obtained if estepm is as small as stepm. */
+
+  /* For example we decided to compute the life expectancy with the smallest unit */
+  /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm. 
+     nhstepm is the number of hstepm from age to agelim 
+     nstepm is the number of stepm from age to agelin. 
+     Look at hpijx to understand the reason of that which relies in memory size
+     and note for a fixed period like estepm months */
+  /* We decided (b) to get a life expectancy respecting the most precise curvature of the
+     survival function given by stepm (the optimization length). Unfortunately it
+     means that if the survival funtion is printed only each two years of age and if
+     you sum them up and add 1 year (area under the trapezoids) you won't get the same 
+     results. So we changed our mind and took the option of the best precision.
+  */
+  hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */ 
+
+  agelim=AGESUP;
+  /* If stepm=6 months */
+    /* Computed by stepm unit matrices, product of hstepm matrices, stored
+       in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */
+    
+/* nhstepm age range expressed in number of stepm */
+  nstepm=(int) rint((agelim-bage)*YEARM/stepm); /* Biggest nstepm */
+  /* Typically if 20 years nstepm = 20*12/6=40 stepm */ 
+  /* if (stepm >= YEARM) hstepm=1;*/
+  nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
+  p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+
+  for (age=bage; age<=fage; age ++){ 
+    nstepma=(int) rint((agelim-bage)*YEARM/stepm); /* Biggest nstepm */
+    /* Typically if 20 years nstepm = 20*12/6=40 stepm */ 
+    /* if (stepm >= YEARM) hstepm=1;*/
+    nhstepma = nstepma/hstepm;/* Expressed in hstepm, typically nhstepma=40/4=10 */
+
+    /* If stepm=6 months */
+    /* Computed by stepm unit matrices, product of hstepma matrices, stored
+       in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */
+    
+    hpxij(p3mat,nhstepma,age,hstepm,x,nlstate,stepm,oldm, savm, cij);  
+    
+    hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
+    
+    printf("%d|",(int)age);fflush(stdout);
+    fprintf(ficlog,"%d|",(int)age);fflush(ficlog);
+    
+    /* Computing expectancies */
+    for(i=1; i<=nlstate;i++)
+      for(j=1; j<=nlstate;j++)
+	for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){
+	  eij[i][j][(int)age] += (p3mat[i][j][h]+p3mat[i][j][h+1])/2.0*hf;
+	  
+	  /* if((int)age==70)printf("i=%2d,j=%2d,h=%2d,age=%3d,%9.4f,%9.4f,%9.4f\n",i,j,h,(int)age,p3mat[i][j][h],hf,eij[i][j][(int)age]);*/
+
+	}
+
+    fprintf(ficreseij,"%3.0f",age );
+    for(i=1; i<=nlstate;i++){
+      eip=0;
+      for(j=1; j<=nlstate;j++){
+	eip +=eij[i][j][(int)age];
+	fprintf(ficreseij,"%9.4f", eij[i][j][(int)age] );
+      }
+      fprintf(ficreseij,"%9.4f", eip );
+    }
+    fprintf(ficreseij,"\n");
+    
+  }
+  free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+  printf("\n");
+  fprintf(ficlog,"\n");
+  
+}
+
+void cvevsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,double delti[],double **matcov,char strstart[] )
+
+{
+  /* Covariances of health expectancies eij and of total life expectancies according
+   to initial status i, ei. .
+  */
+  int i, j, nhstepm, hstepm, h, nstepm, k, cptj, cptj2, i2, j2, ij, ji;
+  int nhstepma, nstepma; /* Decreasing with age */
+  double age, agelim, hf;
+  double ***p3matp, ***p3matm, ***varhe;
+  double **dnewm,**doldm;
+  double *xp, *xm;
+  double **gp, **gm;
+  double ***gradg, ***trgradg;
+  int theta;
+
+  double eip, vip;
+
+  varhe=ma3x(1,nlstate*nlstate,1,nlstate*nlstate,(int) bage, (int) fage);
+  xp=vector(1,npar);
+  xm=vector(1,npar);
+  dnewm=matrix(1,nlstate*nlstate,1,npar);
+  doldm=matrix(1,nlstate*nlstate,1,nlstate*nlstate);
+  
+  pstamp(ficresstdeij);
+  fprintf(ficresstdeij,"# Health expectancies with standard errors\n");
+  fprintf(ficresstdeij,"# Age");
+  for(i=1; i<=nlstate;i++){
+    for(j=1; j<=nlstate;j++)
+      fprintf(ficresstdeij," e%1d%1d (SE)",i,j);
+    fprintf(ficresstdeij," e%1d. ",i);
+  }
+  fprintf(ficresstdeij,"\n");
+
+  pstamp(ficrescveij);
+  fprintf(ficrescveij,"# Subdiagonal matrix of covariances of health expectancies by age: cov(eij,ekl)\n");
+  fprintf(ficrescveij,"# Age");
+  for(i=1; i<=nlstate;i++)
+    for(j=1; j<=nlstate;j++){
+      cptj= (j-1)*nlstate+i;
+      for(i2=1; i2<=nlstate;i2++)
+	for(j2=1; j2<=nlstate;j2++){
+	  cptj2= (j2-1)*nlstate+i2;
+	  if(cptj2 <= cptj)
+	    fprintf(ficrescveij,"  %1d%1d,%1d%1d",i,j,i2,j2);
+	}
+    }
+  fprintf(ficrescveij,"\n");
+  
+  if(estepm < stepm){
+    printf ("Problem %d lower than %d\n",estepm, stepm);
+  }
+  else  hstepm=estepm;   
+  /* We compute the life expectancy from trapezoids spaced every estepm months
+   * This is mainly to measure the difference between two models: for example
+   * if stepm=24 months pijx are given only every 2 years and by summing them
+   * we are calculating an estimate of the Life Expectancy assuming a linear 
+   * progression in between and thus overestimating or underestimating according
+   * to the curvature of the survival function. If, for the same date, we 
+   * estimate the model with stepm=1 month, we can keep estepm to 24 months
+   * to compare the new estimate of Life expectancy with the same linear 
+   * hypothesis. A more precise result, taking into account a more precise
+   * curvature will be obtained if estepm is as small as stepm. */
+
+  /* For example we decided to compute the life expectancy with the smallest unit */
+  /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm. 
+     nhstepm is the number of hstepm from age to agelim 
+     nstepm is the number of stepm from age to agelin. 
+     Look at hpijx to understand the reason of that which relies in memory size
+     and note for a fixed period like estepm months */
+  /* We decided (b) to get a life expectancy respecting the most precise curvature of the
+     survival function given by stepm (the optimization length). Unfortunately it
+     means that if the survival funtion is printed only each two years of age and if
+     you sum them up and add 1 year (area under the trapezoids) you won't get the same 
+     results. So we changed our mind and took the option of the best precision.
+  */
+  hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */ 
+
+  /* If stepm=6 months */
+  /* nhstepm age range expressed in number of stepm */
+  agelim=AGESUP;
+  nstepm=(int) rint((agelim-bage)*YEARM/stepm); 
+  /* Typically if 20 years nstepm = 20*12/6=40 stepm */ 
+  /* if (stepm >= YEARM) hstepm=1;*/
+  nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
+  
+  p3matp=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+  p3matm=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+  gradg=ma3x(0,nhstepm,1,npar,1,nlstate*nlstate);
+  trgradg =ma3x(0,nhstepm,1,nlstate*nlstate,1,npar);
+  gp=matrix(0,nhstepm,1,nlstate*nlstate);
+  gm=matrix(0,nhstepm,1,nlstate*nlstate);
+
+  for (age=bage; age<=fage; age ++){ 
+    nstepma=(int) rint((agelim-bage)*YEARM/stepm); /* Biggest nstepm */
+    /* Typically if 20 years nstepm = 20*12/6=40 stepm */ 
+    /* if (stepm >= YEARM) hstepm=1;*/
+    nhstepma = nstepma/hstepm;/* Expressed in hstepm, typically nhstepma=40/4=10 */
+
+    /* If stepm=6 months */
+    /* Computed by stepm unit matrices, product of hstepma matrices, stored
+       in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */
+    
+    hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
+
+    /* Computing  Variances of health expectancies */
+    /* Gradient is computed with plus gp and minus gm. Code is duplicated in order to
+       decrease memory allocation */
+    for(theta=1; theta <=npar; theta++){
+      for(i=1; i<=npar; i++){ 
+	xp[i] = x[i] + (i==theta ?delti[theta]:0);
+	xm[i] = x[i] - (i==theta ?delti[theta]:0);
+      }
+      hpxij(p3matp,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, cij);  
+      hpxij(p3matm,nhstepm,age,hstepm,xm,nlstate,stepm,oldm,savm, cij);  
+  
+      for(j=1; j<= nlstate; j++){
+	for(i=1; i<=nlstate; i++){
+	  for(h=0; h<=nhstepm-1; h++){
+	    gp[h][(j-1)*nlstate + i] = (p3matp[i][j][h]+p3matp[i][j][h+1])/2.;
+	    gm[h][(j-1)*nlstate + i] = (p3matm[i][j][h]+p3matm[i][j][h+1])/2.;
+	  }
+	}
+      }
+     
+      for(ij=1; ij<= nlstate*nlstate; ij++)
+	for(h=0; h<=nhstepm-1; h++){
+	  gradg[h][theta][ij]= (gp[h][ij]-gm[h][ij])/2./delti[theta];
+	}
+    }/* End theta */
+    
+    
+    for(h=0; h<=nhstepm-1; h++)
+      for(j=1; j<=nlstate*nlstate;j++)
+	for(theta=1; theta <=npar; theta++)
+	  trgradg[h][j][theta]=gradg[h][theta][j];
+    
+
+     for(ij=1;ij<=nlstate*nlstate;ij++)
+      for(ji=1;ji<=nlstate*nlstate;ji++)
+	varhe[ij][ji][(int)age] =0.;
+
+     printf("%d|",(int)age);fflush(stdout);
+     fprintf(ficlog,"%d|",(int)age);fflush(ficlog);
+     for(h=0;h<=nhstepm-1;h++){
+      for(k=0;k<=nhstepm-1;k++){
+	matprod2(dnewm,trgradg[h],1,nlstate*nlstate,1,npar,1,npar,matcov);
+	matprod2(doldm,dnewm,1,nlstate*nlstate,1,npar,1,nlstate*nlstate,gradg[k]);
+	for(ij=1;ij<=nlstate*nlstate;ij++)
+	  for(ji=1;ji<=nlstate*nlstate;ji++)
+	    varhe[ij][ji][(int)age] += doldm[ij][ji]*hf*hf;
+      }
+    }
+
+    /* Computing expectancies */
+    hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij);  
+    for(i=1; i<=nlstate;i++)
+      for(j=1; j<=nlstate;j++)
+	for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){
+	  eij[i][j][(int)age] += (p3matm[i][j][h]+p3matm[i][j][h+1])/2.0*hf;
+	  
+	  /* if((int)age==70)printf("i=%2d,j=%2d,h=%2d,age=%3d,%9.4f,%9.4f,%9.4f\n",i,j,h,(int)age,p3mat[i][j][h],hf,eij[i][j][(int)age]);*/
+
+	}
+
+    fprintf(ficresstdeij,"%3.0f",age );
+    for(i=1; i<=nlstate;i++){
+      eip=0.;
+      vip=0.;
+      for(j=1; j<=nlstate;j++){
+	eip += eij[i][j][(int)age];
+	for(k=1; k<=nlstate;k++) /* Sum on j and k of cov(eij,eik) */
+	  vip += varhe[(j-1)*nlstate+i][(k-1)*nlstate+i][(int)age];
+	fprintf(ficresstdeij," %9.4f (%.4f)", eij[i][j][(int)age], sqrt(varhe[(j-1)*nlstate+i][(j-1)*nlstate+i][(int)age]) );
+      }
+      fprintf(ficresstdeij," %9.4f (%.4f)", eip, sqrt(vip));
+    }
+    fprintf(ficresstdeij,"\n");
+
+    fprintf(ficrescveij,"%3.0f",age );
+    for(i=1; i<=nlstate;i++)
+      for(j=1; j<=nlstate;j++){
+	cptj= (j-1)*nlstate+i;
+	for(i2=1; i2<=nlstate;i2++)
+	  for(j2=1; j2<=nlstate;j2++){
+	    cptj2= (j2-1)*nlstate+i2;
+	    if(cptj2 <= cptj)
+	      fprintf(ficrescveij," %.4f", varhe[cptj][cptj2][(int)age]);
+	  }
+      }
+    fprintf(ficrescveij,"\n");
+   
+  }
+  free_matrix(gm,0,nhstepm,1,nlstate*nlstate);
+  free_matrix(gp,0,nhstepm,1,nlstate*nlstate);
+  free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate*nlstate);
+  free_ma3x(trgradg,0,nhstepm,1,nlstate*nlstate,1,npar);
+  free_ma3x(p3matm,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+  free_ma3x(p3matp,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+  printf("\n");
+  fprintf(ficlog,"\n");
+
+  free_vector(xm,1,npar);
+  free_vector(xp,1,npar);
+  free_matrix(dnewm,1,nlstate*nlstate,1,npar);
+  free_matrix(doldm,1,nlstate*nlstate,1,nlstate*nlstate);
+  free_ma3x(varhe,1,nlstate*nlstate,1,nlstate*nlstate,(int) bage, (int)fage);
+}
+
+/************ Variance ******************/
+void varevsij(char optionfilefiname[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[])
+{
+  /* Variance of health expectancies */
+  /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/
+  /* double **newm;*/
+  double **dnewm,**doldm;
+  double **dnewmp,**doldmp;
+  int i, j, nhstepm, hstepm, h, nstepm ;
+  int k, cptcode;
+  double *xp;
+  double **gp, **gm;  /* for var eij */
+  double ***gradg, ***trgradg; /*for var eij */
+  double **gradgp, **trgradgp; /* for var p point j */
+  double *gpp, *gmp; /* for var p point j */
+  double **varppt; /* for var p point j nlstate to nlstate+ndeath */
+  double ***p3mat;
+  double age,agelim, hf;
+  double ***mobaverage;
+  int theta;
+  char digit[4];
+  char digitp[25];
+
+  char fileresprobmorprev[FILENAMELENGTH];
+
+  if(popbased==1){
+    if(mobilav!=0)
+      strcpy(digitp,"-populbased-mobilav-");
+    else strcpy(digitp,"-populbased-nomobil-");
+  }
+  else 
+    strcpy(digitp,"-stablbased-");
+
+  if (mobilav!=0) {
+    mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
+    if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){
+      fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
+      printf(" Error in movingaverage mobilav=%d\n",mobilav);
+    }
+  }
+
+  strcpy(fileresprobmorprev,"prmorprev"); 
+  sprintf(digit,"%-d",ij);
+  /*printf("DIGIT=%s, ij=%d ijr=%-d|\n",digit, ij,ij);*/
+  strcat(fileresprobmorprev,digit); /* Tvar to be done */
+  strcat(fileresprobmorprev,digitp); /* Popbased or not, mobilav or not */
+  strcat(fileresprobmorprev,fileres);
+  if((ficresprobmorprev=fopen(fileresprobmorprev,"w"))==NULL) {
+    printf("Problem with resultfile: %s\n", fileresprobmorprev);
+    fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobmorprev);
+  }
+  printf("Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);
+ 
+  fprintf(ficlog,"Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);
+  pstamp(ficresprobmorprev);
+  fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... stand dev in()\n",estepm);
+  fprintf(ficresprobmorprev,"# Age cov=%-d",ij);
+  for(j=nlstate+1; j<=(nlstate+ndeath);j++){
+    fprintf(ficresprobmorprev," p.%-d SE",j);
+    for(i=1; i<=nlstate;i++)
+      fprintf(ficresprobmorprev," w%1d p%-d%-d",i,i,j);
+  }  
+  fprintf(ficresprobmorprev,"\n");
+  fprintf(ficgp,"\n# Routine varevsij");
+  /* fprintf(fichtm, "#Local time at start: %s", strstart);*/
+  fprintf(fichtm,"\n<li><h4> Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)</h4></li>\n");
+  fprintf(fichtm,"\n<br>%s  <br>\n",digitp);
+/*   } */
+  varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
+  pstamp(ficresvij);
+  fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n#  (weighted average of eij where weights are ");
+  if(popbased==1)
+    fprintf(ficresvij,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d\n",mobilav);
+  else
+    fprintf(ficresvij,"the age specific period (stable) prevalences in each health state \n");
+  fprintf(ficresvij,"# Age");
+  for(i=1; i<=nlstate;i++)
+    for(j=1; j<=nlstate;j++)
+      fprintf(ficresvij," Cov(e.%1d, e.%1d)",i,j);
+  fprintf(ficresvij,"\n");
+
+  xp=vector(1,npar);
+  dnewm=matrix(1,nlstate,1,npar);
+  doldm=matrix(1,nlstate,1,nlstate);
+  dnewmp= matrix(nlstate+1,nlstate+ndeath,1,npar);
+  doldmp= matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
+
+  gradgp=matrix(1,npar,nlstate+1,nlstate+ndeath);
+  gpp=vector(nlstate+1,nlstate+ndeath);
+  gmp=vector(nlstate+1,nlstate+ndeath);
+  trgradgp =matrix(nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/
+  
+  if(estepm < stepm){
+    printf ("Problem %d lower than %d\n",estepm, stepm);
+  }
+  else  hstepm=estepm;   
+  /* For example we decided to compute the life expectancy with the smallest unit */
+  /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm. 
+     nhstepm is the number of hstepm from age to agelim 
+     nstepm is the number of stepm from age to agelin. 
+     Look at function hpijx to understand why (it is linked to memory size questions) */
+  /* We decided (b) to get a life expectancy respecting the most precise curvature of the
+     survival function given by stepm (the optimization length). Unfortunately it
+     means that if the survival funtion is printed every two years of age and if
+     you sum them up and add 1 year (area under the trapezoids) you won't get the same 
+     results. So we changed our mind and took the option of the best precision.
+  */
+  hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */ 
+  agelim = AGESUP;
+  for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
+    nstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ 
+    nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
+    p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+    gradg=ma3x(0,nhstepm,1,npar,1,nlstate);
+    gp=matrix(0,nhstepm,1,nlstate);
+    gm=matrix(0,nhstepm,1,nlstate);
+
+
+    for(theta=1; theta <=npar; theta++){
+      for(i=1; i<=npar; i++){ /* Computes gradient x + delta*/
+	xp[i] = x[i] + (i==theta ?delti[theta]:0);
+      }
+      hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);  
+      prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
+
+      if (popbased==1) {
+	if(mobilav ==0){
+	  for(i=1; i<=nlstate;i++)
+	    prlim[i][i]=probs[(int)age][i][ij];
+	}else{ /* mobilav */ 
+	  for(i=1; i<=nlstate;i++)
+	    prlim[i][i]=mobaverage[(int)age][i][ij];
+	}
+      }
+  
+      for(j=1; j<= nlstate; j++){
+	for(h=0; h<=nhstepm; h++){
+	  for(i=1, gp[h][j]=0.;i<=nlstate;i++)
+	    gp[h][j] += prlim[i][i]*p3mat[i][j][h];
+	}
+      }
+      /* This for computing probability of death (h=1 means
+         computed over hstepm matrices product = hstepm*stepm months) 
+         as a weighted average of prlim.
+      */
+      for(j=nlstate+1;j<=nlstate+ndeath;j++){
+	for(i=1,gpp[j]=0.; i<= nlstate; i++)
+	  gpp[j] += prlim[i][i]*p3mat[i][j][1];
+      }    
+      /* end probability of death */
+
+      for(i=1; i<=npar; i++) /* Computes gradient x - delta */
+	xp[i] = x[i] - (i==theta ?delti[theta]:0);
+      hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);  
+      prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
+ 
+      if (popbased==1) {
+	if(mobilav ==0){
+	  for(i=1; i<=nlstate;i++)
+	    prlim[i][i]=probs[(int)age][i][ij];
+	}else{ /* mobilav */ 
+	  for(i=1; i<=nlstate;i++)
+	    prlim[i][i]=mobaverage[(int)age][i][ij];
+	}
+      }
+
+      for(j=1; j<= nlstate; j++){  /* Sum of wi * eij = e.j */
+	for(h=0; h<=nhstepm; h++){
+	  for(i=1, gm[h][j]=0.;i<=nlstate;i++)
+	    gm[h][j] += prlim[i][i]*p3mat[i][j][h];
+	}
+      }
+      /* This for computing probability of death (h=1 means
+         computed over hstepm matrices product = hstepm*stepm months) 
+         as a weighted average of prlim.
+      */
+      for(j=nlstate+1;j<=nlstate+ndeath;j++){
+	for(i=1,gmp[j]=0.; i<= nlstate; i++)
+         gmp[j] += prlim[i][i]*p3mat[i][j][1];
+      }    
+      /* end probability of death */
+
+      for(j=1; j<= nlstate; j++) /* vareij */
+	for(h=0; h<=nhstepm; h++){
+	  gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
+	}
+
+      for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu */
+	gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta];
+      }
+
+    } /* End theta */
+
+    trgradg =ma3x(0,nhstepm,1,nlstate,1,npar); /* veij */
+
+    for(h=0; h<=nhstepm; h++) /* veij */
+      for(j=1; j<=nlstate;j++)
+	for(theta=1; theta <=npar; theta++)
+	  trgradg[h][j][theta]=gradg[h][theta][j];
+
+    for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */
+      for(theta=1; theta <=npar; theta++)
+	trgradgp[j][theta]=gradgp[theta][j];
+  
+
+    hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
+    for(i=1;i<=nlstate;i++)
+      for(j=1;j<=nlstate;j++)
+	vareij[i][j][(int)age] =0.;
+
+    for(h=0;h<=nhstepm;h++){
+      for(k=0;k<=nhstepm;k++){
+	matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov);
+	matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg[k]);
+	for(i=1;i<=nlstate;i++)
+	  for(j=1;j<=nlstate;j++)
+	    vareij[i][j][(int)age] += doldm[i][j]*hf*hf;
+      }
+    }
+  
+    /* pptj */
+    matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov);
+    matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp);
+    for(j=nlstate+1;j<=nlstate+ndeath;j++)
+      for(i=nlstate+1;i<=nlstate+ndeath;i++)
+	varppt[j][i]=doldmp[j][i];
+    /* end ppptj */
+    /*  x centered again */
+    hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);  
+    prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ij);
+ 
+    if (popbased==1) {
+      if(mobilav ==0){
+	for(i=1; i<=nlstate;i++)
+	  prlim[i][i]=probs[(int)age][i][ij];
+      }else{ /* mobilav */ 
+	for(i=1; i<=nlstate;i++)
+	  prlim[i][i]=mobaverage[(int)age][i][ij];
+      }
+    }
+             
+    /* This for computing probability of death (h=1 means
+       computed over hstepm (estepm) matrices product = hstepm*stepm months) 
+       as a weighted average of prlim.
+    */
+    for(j=nlstate+1;j<=nlstate+ndeath;j++){
+      for(i=1,gmp[j]=0.;i<= nlstate; i++) 
+	gmp[j] += prlim[i][i]*p3mat[i][j][1]; 
+    }    
+    /* end probability of death */
+
+    fprintf(ficresprobmorprev,"%3d %d ",(int) age, ij);
+    for(j=nlstate+1; j<=(nlstate+ndeath);j++){
+      fprintf(ficresprobmorprev," %11.3e %11.3e",gmp[j], sqrt(varppt[j][j]));
+      for(i=1; i<=nlstate;i++){
+	fprintf(ficresprobmorprev," %11.3e %11.3e ",prlim[i][i],p3mat[i][j][1]);
+      }
+    } 
+    fprintf(ficresprobmorprev,"\n");
+
+    fprintf(ficresvij,"%.0f ",age );
+    for(i=1; i<=nlstate;i++)
+      for(j=1; j<=nlstate;j++){
+	fprintf(ficresvij," %.4f", vareij[i][j][(int)age]);
+      }
+    fprintf(ficresvij,"\n");
+    free_matrix(gp,0,nhstepm,1,nlstate);
+    free_matrix(gm,0,nhstepm,1,nlstate);
+    free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate);
+    free_ma3x(trgradg,0,nhstepm,1,nlstate,1,npar);
+    free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+  } /* End age */
+  free_vector(gpp,nlstate+1,nlstate+ndeath);
+  free_vector(gmp,nlstate+1,nlstate+ndeath);
+  free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath);
+  free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/
+  fprintf(ficgp,"\nunset parametric;unset label; set ter png small size 320, 240");
+  /* for(j=nlstate+1; j<= nlstate+ndeath; j++){ *//* Only the first actually */
+  fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");
+/*   fprintf(ficgp,"\n plot \"%s\"  u 1:($3*%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); */
+/*   fprintf(ficgp,"\n replot \"%s\"  u 1:(($3+1.96*$4)*%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */
+/*   fprintf(ficgp,"\n replot \"%s\"  u 1:(($3-1.96*$4)*%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */
+  fprintf(ficgp,"\n plot \"%s\"  u 1:($3) not w l lt 1 ",subdirf(fileresprobmorprev));
+  fprintf(ficgp,"\n replot \"%s\"  u 1:(($3+1.96*$4)) t \"95\%% interval\" w l lt 2 ",subdirf(fileresprobmorprev));
+  fprintf(ficgp,"\n replot \"%s\"  u 1:(($3-1.96*$4)) not w l lt 2 ",subdirf(fileresprobmorprev));
+  fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));
+  fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.png\"> <br>\n", estepm,subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);
+  /*  fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,YEARM,digitp,digit);
+*/
+/*   fprintf(ficgp,"\nset out \"varmuptjgr%s%s%s.png\";replot;",digitp,optionfilefiname,digit); */
+  fprintf(ficgp,"\nset out \"%s%s.png\";replot;\n",subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);
+
+  free_vector(xp,1,npar);
+  free_matrix(doldm,1,nlstate,1,nlstate);
+  free_matrix(dnewm,1,nlstate,1,npar);
+  free_matrix(doldmp,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
+  free_matrix(dnewmp,nlstate+1,nlstate+ndeath,1,npar);
+  free_matrix(varppt,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
+  if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
+  fclose(ficresprobmorprev);
+  fflush(ficgp);
+  fflush(fichtm); 
+}  /* end varevsij */
+
+/************ Variance of prevlim ******************/
+void varprevlim(char fileres[], double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij, char strstart[])
+{
+  /* Variance of prevalence limit */
+  /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/
+  double **newm;
+  double **dnewm,**doldm;
+  int i, j, nhstepm, hstepm;
+  int k, cptcode;
+  double *xp;
+  double *gp, *gm;
+  double **gradg, **trgradg;
+  double age,agelim;
+  int theta;
+  
+  pstamp(ficresvpl);
+  fprintf(ficresvpl,"# Standard deviation of period (stable) prevalences \n");
+  fprintf(ficresvpl,"# Age");
+  for(i=1; i<=nlstate;i++)
+      fprintf(ficresvpl," %1d-%1d",i,i);
+  fprintf(ficresvpl,"\n");
+
+  xp=vector(1,npar);
+  dnewm=matrix(1,nlstate,1,npar);
+  doldm=matrix(1,nlstate,1,nlstate);
+  
+  hstepm=1*YEARM; /* Every year of age */
+  hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */ 
+  agelim = AGESUP;
+  for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
+    nhstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ 
+    if (stepm >= YEARM) hstepm=1;
+    nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
+    gradg=matrix(1,npar,1,nlstate);
+    gp=vector(1,nlstate);
+    gm=vector(1,nlstate);
+
+    for(theta=1; theta <=npar; theta++){
+      for(i=1; i<=npar; i++){ /* Computes gradient */
+	xp[i] = x[i] + (i==theta ?delti[theta]:0);
+      }
+      prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
+      for(i=1;i<=nlstate;i++)
+	gp[i] = prlim[i][i];
+    
+      for(i=1; i<=npar; i++) /* Computes gradient */
+	xp[i] = x[i] - (i==theta ?delti[theta]:0);
+      prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
+      for(i=1;i<=nlstate;i++)
+	gm[i] = prlim[i][i];
+
+      for(i=1;i<=nlstate;i++)
+	gradg[theta][i]= (gp[i]-gm[i])/2./delti[theta];
+    } /* End theta */
+
+    trgradg =matrix(1,nlstate,1,npar);
+
+    for(j=1; j<=nlstate;j++)
+      for(theta=1; theta <=npar; theta++)
+	trgradg[j][theta]=gradg[theta][j];
+
+    for(i=1;i<=nlstate;i++)
+      varpl[i][(int)age] =0.;
+    matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov);
+    matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg);
+    for(i=1;i<=nlstate;i++)
+      varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */
+
+    fprintf(ficresvpl,"%.0f ",age );
+    for(i=1; i<=nlstate;i++)
+      fprintf(ficresvpl," %.5f (%.5f)",prlim[i][i],sqrt(varpl[i][(int)age]));
+    fprintf(ficresvpl,"\n");
+    free_vector(gp,1,nlstate);
+    free_vector(gm,1,nlstate);
+    free_matrix(gradg,1,npar,1,nlstate);
+    free_matrix(trgradg,1,nlstate,1,npar);
+  } /* End age */
+
+  free_vector(xp,1,npar);
+  free_matrix(doldm,1,nlstate,1,npar);
+  free_matrix(dnewm,1,nlstate,1,nlstate);
+
+}
+
+/************ Variance of one-step probabilities  ******************/
+void varprob(char optionfilefiname[], double **matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij, int *Tvar, int **nbcode, int *ncodemax, char strstart[])
+{
+  int i, j=0,  i1, k1, l1, t, tj;
+  int k2, l2, j1,  z1;
+  int k=0,l, cptcode;
+  int first=1, first1, first2;
+  double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;
+  double **dnewm,**doldm;
+  double *xp;
+  double *gp, *gm;
+  double **gradg, **trgradg;
+  double **mu;
+  double age,agelim, cov[NCOVMAX+1];
+  double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */
+  int theta;
+  char fileresprob[FILENAMELENGTH];
+  char fileresprobcov[FILENAMELENGTH];
+  char fileresprobcor[FILENAMELENGTH];
+  double ***varpij;
+
+  strcpy(fileresprob,"prob"); 
+  strcat(fileresprob,fileres);
+  if((ficresprob=fopen(fileresprob,"w"))==NULL) {
+    printf("Problem with resultfile: %s\n", fileresprob);
+    fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob);
+  }
+  strcpy(fileresprobcov,"probcov"); 
+  strcat(fileresprobcov,fileres);
+  if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) {
+    printf("Problem with resultfile: %s\n", fileresprobcov);
+    fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov);
+  }
+  strcpy(fileresprobcor,"probcor"); 
+  strcat(fileresprobcor,fileres);
+  if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) {
+    printf("Problem with resultfile: %s\n", fileresprobcor);
+    fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor);
+  }
+  printf("Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob);
+  fprintf(ficlog,"Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob);
+  printf("Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov);
+  fprintf(ficlog,"Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov);
+  printf("and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
+  fprintf(ficlog,"and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
+  pstamp(ficresprob);
+  fprintf(ficresprob,"#One-step probabilities and stand. devi in ()\n");
+  fprintf(ficresprob,"# Age");
+  pstamp(ficresprobcov);
+  fprintf(ficresprobcov,"#One-step probabilities and covariance matrix\n");
+  fprintf(ficresprobcov,"# Age");
+  pstamp(ficresprobcor);
+  fprintf(ficresprobcor,"#One-step probabilities and correlation matrix\n");
+  fprintf(ficresprobcor,"# Age");
+
+
+  for(i=1; i<=nlstate;i++)
+    for(j=1; j<=(nlstate+ndeath);j++){
+      fprintf(ficresprob," p%1d-%1d (SE)",i,j);
+      fprintf(ficresprobcov," p%1d-%1d ",i,j);
+      fprintf(ficresprobcor," p%1d-%1d ",i,j);
+    }  
+ /* fprintf(ficresprob,"\n");
+  fprintf(ficresprobcov,"\n");
+  fprintf(ficresprobcor,"\n");
+ */
+  xp=vector(1,npar);
+  dnewm=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
+  doldm=matrix(1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath));
+  mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage);
+  varpij=ma3x(1,nlstate*(nlstate+ndeath),1,nlstate*(nlstate+ndeath),(int) bage, (int) fage);
+  first=1;
+  fprintf(ficgp,"\n# Routine varprob");
+  fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");
+  fprintf(fichtm,"\n");
+
+  fprintf(fichtm,"\n<li><h4> <a href=\"%s\">Matrix of variance-covariance of pairs of step probabilities (drawings)</a></h4></li>\n",optionfilehtmcov);
+  fprintf(fichtmcov,"\n<h4>Matrix of variance-covariance of pairs of step probabilities</h4>\n\
+  file %s<br>\n",optionfilehtmcov);
+  fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimated\
+and drawn. It helps understanding how is the covariance between two incidences.\
+ They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>\n");
+  fprintf(fichtmcov,"\n<br> Contour plot corresponding to x'cov<sup>-1</sup>x = 4 (where x is the column vector (pij,pkl)) are drawn. \
+It can be understood this way: if pij and pkl where uncorrelated the (2x2) matrix of covariance \
+would have been (1/(var pij), 0 , 0, 1/(var pkl)), and the confidence interval would be 2 \
+standard deviations wide on each axis. <br>\
+ Now, if both incidences are correlated (usual case) we diagonalised the inverse of the covariance matrix\
+ and made the appropriate rotation to look at the uncorrelated principal directions.<br>\
+To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.<br> \n");
+
+  cov[1]=1;
+  /* tj=cptcoveff; */
+  tj = (int) pow(2,cptcoveff);
+  if (cptcovn<1) {tj=1;ncodemax[1]=1;}
+  j1=0;
+  for(j1=1; j1<=tj;j1++){
+    /*for(i1=1; i1<=ncodemax[t];i1++){ */
+    /*j1++;*/
+      if  (cptcovn>0) {
+	fprintf(ficresprob, "\n#********** Variable "); 
+	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
+	fprintf(ficresprob, "**********\n#\n");
+	fprintf(ficresprobcov, "\n#********** Variable "); 
+	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
+	fprintf(ficresprobcov, "**********\n#\n");
+	
+	fprintf(ficgp, "\n#********** Variable "); 
+	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
+	fprintf(ficgp, "**********\n#\n");
+	
+	
+	fprintf(fichtmcov, "\n<hr  size=\"2\" color=\"#EC5E5E\">********** Variable "); 
+	for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
+	fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">");
+	
+	fprintf(ficresprobcor, "\n#********** Variable ");    
+	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
+	fprintf(ficresprobcor, "**********\n#");    
+      }
+      
+      gradg=matrix(1,npar,1,(nlstate)*(nlstate+ndeath));
+      trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
+      gp=vector(1,(nlstate)*(nlstate+ndeath));
+      gm=vector(1,(nlstate)*(nlstate+ndeath));
+      for (age=bage; age<=fage; age ++){ 
+	cov[2]=age;
+	for (k=1; k<=cptcovn;k++) {
+	  cov[2+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]];/* j1 1 2 3 4
+							 * 1  1 1 1 1
+							 * 2  2 1 1 1
+							 * 3  1 2 1 1
+							 */
+	  /* nbcode[1][1]=0 nbcode[1][2]=1;*/
+	}
+	for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
+	for (k=1; k<=cptcovprod;k++)
+	  cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];
+	
+    
+	for(theta=1; theta <=npar; theta++){
+	  for(i=1; i<=npar; i++)
+	    xp[i] = x[i] + (i==theta ?delti[theta]:(double)0);
+	  
+	  pmij(pmmij,cov,ncovmodel,xp,nlstate);
+	  
+	  k=0;
+	  for(i=1; i<= (nlstate); i++){
+	    for(j=1; j<=(nlstate+ndeath);j++){
+	      k=k+1;
+	      gp[k]=pmmij[i][j];
+	    }
+	  }
+	  
+	  for(i=1; i<=npar; i++)
+	    xp[i] = x[i] - (i==theta ?delti[theta]:(double)0);
+    
+	  pmij(pmmij,cov,ncovmodel,xp,nlstate);
+	  k=0;
+	  for(i=1; i<=(nlstate); i++){
+	    for(j=1; j<=(nlstate+ndeath);j++){
+	      k=k+1;
+	      gm[k]=pmmij[i][j];
+	    }
+	  }
+     
+	  for(i=1; i<= (nlstate)*(nlstate+ndeath); i++) 
+	    gradg[theta][i]=(gp[i]-gm[i])/(double)2./delti[theta];  
+	}
+
+	for(j=1; j<=(nlstate)*(nlstate+ndeath);j++)
+	  for(theta=1; theta <=npar; theta++)
+	    trgradg[j][theta]=gradg[theta][j];
+	
+	matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov); 
+	matprod2(doldm,dnewm,1,(nlstate)*(nlstate+ndeath),1,npar,1,(nlstate)*(nlstate+ndeath),gradg);
+
+	pmij(pmmij,cov,ncovmodel,x,nlstate);
+	
+	k=0;
+	for(i=1; i<=(nlstate); i++){
+	  for(j=1; j<=(nlstate+ndeath);j++){
+	    k=k+1;
+	    mu[k][(int) age]=pmmij[i][j];
+	  }
+	}
+     	for(i=1;i<=(nlstate)*(nlstate+ndeath);i++)
+	  for(j=1;j<=(nlstate)*(nlstate+ndeath);j++)
+	    varpij[i][j][(int)age] = doldm[i][j];
+
+	/*printf("\n%d ",(int)age);
+	  for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){
+	  printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i]));
+	  fprintf(ficlog,"%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i]));
+	  }*/
+
+	fprintf(ficresprob,"\n%d ",(int)age);
+	fprintf(ficresprobcov,"\n%d ",(int)age);
+	fprintf(ficresprobcor,"\n%d ",(int)age);
+
+	for (i=1; i<=(nlstate)*(nlstate+ndeath);i++)
+	  fprintf(ficresprob,"%11.3e (%11.3e) ",mu[i][(int) age],sqrt(varpij[i][i][(int)age]));
+	for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){
+	  fprintf(ficresprobcov,"%11.3e ",mu[i][(int) age]);
+	  fprintf(ficresprobcor,"%11.3e ",mu[i][(int) age]);
+	}
+	i=0;
+	for (k=1; k<=(nlstate);k++){
+ 	  for (l=1; l<=(nlstate+ndeath);l++){ 
+ 	    i++;
+	    fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l);
+	    fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l);
+	    for (j=1; j<=i;j++){
+	      /* printf(" k=%d l=%d i=%d j=%d\n",k,l,i,j);fflush(stdout); */
+	      fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]);
+	      fprintf(ficresprobcor," %11.3e",varpij[i][j][(int) age]/sqrt(varpij[i][i][(int) age])/sqrt(varpij[j][j][(int)age]));
+	    }
+	  }
+	}/* end of loop for state */
+      } /* end of loop for age */
+      free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath));
+      free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath));
+      free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
+      free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
+      
+      /* Confidence intervalle of pij  */
+      /*
+	fprintf(ficgp,"\nunset parametric;unset label");
+	fprintf(ficgp,"\nset log y;unset log x; set xlabel \"Age\";set ylabel \"probability (year-1)\"");
+	fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65");
+	fprintf(fichtm,"\n<br>Probability with  confidence intervals expressed in year<sup>-1</sup> :<a href=\"pijgr%s.png\">pijgr%s.png</A>, ",optionfilefiname,optionfilefiname);
+	fprintf(fichtm,"\n<br><img src=\"pijgr%s.png\"> ",optionfilefiname);
+	fprintf(ficgp,"\nset out \"pijgr%s.png\"",optionfilefiname);
+	fprintf(ficgp,"\nplot \"%s\" every :::%d::%d u 1:2 \"\%%lf",k1,k2,xfilevarprob);
+      */
+
+      /* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/
+      first1=1;first2=2;
+      for (k2=1; k2<=(nlstate);k2++){
+	for (l2=1; l2<=(nlstate+ndeath);l2++){ 
+	  if(l2==k2) continue;
+	  j=(k2-1)*(nlstate+ndeath)+l2;
+	  for (k1=1; k1<=(nlstate);k1++){
+	    for (l1=1; l1<=(nlstate+ndeath);l1++){ 
+	      if(l1==k1) continue;
+	      i=(k1-1)*(nlstate+ndeath)+l1;
+	      if(i<=j) continue;
+	      for (age=bage; age<=fage; age ++){ 
+		if ((int)age %5==0){
+		  v1=varpij[i][i][(int)age]/stepm*YEARM/stepm*YEARM;
+		  v2=varpij[j][j][(int)age]/stepm*YEARM/stepm*YEARM;
+		  cv12=varpij[i][j][(int)age]/stepm*YEARM/stepm*YEARM;
+		  mu1=mu[i][(int) age]/stepm*YEARM ;
+		  mu2=mu[j][(int) age]/stepm*YEARM;
+		  c12=cv12/sqrt(v1*v2);
+		  /* Computing eigen value of matrix of covariance */
+		  lc1=((v1+v2)+sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.;
+		  lc2=((v1+v2)-sqrt((v1+v2)*(v1+v2) - 4*(v1*v2-cv12*cv12)))/2.;
+		  if ((lc2 <0) || (lc1 <0) ){
+		    if(first2==1){
+		      first1=0;
+		    printf("Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS. See log file for details...\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);
+		    }
+		    fprintf(ficlog,"Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS.\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);fflush(ficlog);
+		    /* lc1=fabs(lc1); */ /* If we want to have them positive */
+		    /* lc2=fabs(lc2); */
+		  }
+
+		  /* Eigen vectors */
+		  v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12));
+		  /*v21=sqrt(1.-v11*v11); *//* error */
+		  v21=(lc1-v1)/cv12*v11;
+		  v12=-v21;
+		  v22=v11;
+		  tnalp=v21/v11;
+		  if(first1==1){
+		    first1=0;
+		    printf("%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tang %.3f\nOthers in log...\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp);
+		  }
+		  fprintf(ficlog,"%d %d%d-%d%d mu %.4e %.4e Var %.4e %.4e cor %.3f cov %.4e Eig %.3e %.3e 1stv %.3f %.3f tan %.3f\n",(int) age,k1,l1,k2,l2,mu1,mu2,v1,v2,c12,cv12,lc1,lc2,v11,v21,tnalp);
+		  /*printf(fignu*/
+		  /* mu1+ v11*lc1*cost + v12*lc2*sin(t) */
+		  /* mu2+ v21*lc1*cost + v22*lc2*sin(t) */
+		  if(first==1){
+		    first=0;
+ 		    fprintf(ficgp,"\nset parametric;unset label");
+		    fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2);
+		    fprintf(ficgp,"\nset ter png small size 320, 240");
+		    fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\
+ :<a href=\"%s%d%1d%1d-%1d%1d.png\">\
+%s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,\
+			    subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2,\
+			    subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);
+		    fprintf(fichtmcov,"\n<br><img src=\"%s%d%1d%1d-%1d%1d.png\"> ",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);
+		    fprintf(fichtmcov,"\n<br> Correlation at age %d (%.3f),",(int) age, c12);
+		    fprintf(ficgp,"\nset out \"%s%d%1d%1d-%1d%1d.png\"",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);
+		    fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);
+		    fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);
+		    fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not",\
+			    mu1,std,v11,sqrt(lc1),v12,sqrt(lc2),\
+			    mu2,std,v21,sqrt(lc1),v22,sqrt(lc2));
+		  }else{
+		    first=0;
+		    fprintf(fichtmcov," %d (%.3f),",(int) age, c12);
+		    fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);
+		    fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);
+		    fprintf(ficgp,"\nreplot %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not",\
+			    mu1,std,v11,sqrt(lc1),v12,sqrt(lc2),\
+			    mu2,std,v21,sqrt(lc1),v22,sqrt(lc2));
+		  }/* if first */
+		} /* age mod 5 */
+	      } /* end loop age */
+	      fprintf(ficgp,"\nset out \"%s%d%1d%1d-%1d%1d.png\";replot;",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);
+	      first=1;
+	    } /*l12 */
+	  } /* k12 */
+	} /*l1 */
+      }/* k1 */
+      /* } /* loop covariates */
+  }
+  free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);
+  free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);
+  free_matrix(doldm,1,(nlstate)*(nlstate+ndeath),1,(nlstate)*(nlstate+ndeath));
+  free_matrix(dnewm,1,(nlstate)*(nlstate+ndeath),1,npar);
+  free_vector(xp,1,npar);
+  fclose(ficresprob);
+  fclose(ficresprobcov);
+  fclose(ficresprobcor);
+  fflush(ficgp);
+  fflush(fichtmcov);
+}
+
+
+/******************* Printing html file ***********/
+void printinghtml(char fileres[], char title[], char datafile[], int firstpass, \
+		  int lastpass, int stepm, int weightopt, char model[],\
+		  int imx,int jmin, int jmax, double jmeanint,char rfileres[],\
+		  int popforecast, int estepm ,\
+		  double jprev1, double mprev1,double anprev1, \
+		  double jprev2, double mprev2,double anprev2){
+  int jj1, k1, i1, cpt;
+
+   fprintf(fichtm,"<ul><li><a href='#firstorder'>Result files (first order: no variance)</a>\n \
+   <li><a href='#secondorder'>Result files (second order (variance)</a>\n \
+</ul>");
+   fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n \
+ - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> <br>\n ",
+	   jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileres,"p"),subdirf2(fileres,"p"));
+   fprintf(fichtm,"\
+ - Estimated transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ",
+	   stepm,subdirf2(fileres,"pij"),subdirf2(fileres,"pij"));
+   fprintf(fichtm,"\
+ - Period (stable) prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",
+	   subdirf2(fileres,"pl"),subdirf2(fileres,"pl"));
+   fprintf(fichtm,"\
+ - (a) Life expectancies by health status at initial age, ei. (b) health expectancies by health status at initial age, eij . If one or more covariates are included, specific tables for each value of the covariate are output in sequences within the same file (estepm=%2d months): \
+   <a href=\"%s\">%s</a> <br>\n",
+	   estepm,subdirf2(fileres,"e"),subdirf2(fileres,"e"));
+   fprintf(fichtm,"\
+ - Population projections by age and states: \
+   <a href=\"%s\">%s</a> <br>\n</li>", subdirf2(fileres,"f"),subdirf2(fileres,"f"));
+
+fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");
+
+ m=pow(2,cptcoveff);
+ if (cptcovn < 1) {m=1;ncodemax[1]=1;}
+
+ jj1=0;
+ for(k1=1; k1<=m;k1++){
+   for(i1=1; i1<=ncodemax[k1];i1++){
+     jj1++;
+     if (cptcovn > 0) {
+       fprintf(fichtm,"<hr  size=\"2\" color=\"#EC5E5E\">************ Results for covariates");
+       for (cpt=1; cpt<=cptcoveff;cpt++) 
+	 fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[jj1][cpt]]);
+       fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
+     }
+     /* Pij */
+     fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s%d_1.png\">%s%d_1.png</a><br> \
+<img src=\"%s%d_1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);     
+     /* Quasi-incidences */
+     fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\
+ before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: <a href=\"%s%d_2.png\">%s%d_2.png</a><br> \
+<img src=\"%s%d_2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1); 
+       /* Period (stable) prevalence in each health state */
+       for(cpt=1; cpt<nlstate;cpt++){
+	 fprintf(fichtm,"<br>- Period (stable) prevalence in each health state : <a href=\"%s%d_%d.png\">%s%d_%d.png</a><br> \
+<img src=\"%s%d_%d.png\">",subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1);
+       }
+     for(cpt=1; cpt<=nlstate;cpt++) {
+        fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies : <a href=\"%s%d%d.png\">%s%d%d.png</a> <br> \
+<img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);
+     }
+   } /* end i1 */
+ }/* End k1 */
+ fprintf(fichtm,"</ul>");
+
+
+ fprintf(fichtm,"\
+\n<br><li><h4> <a name='secondorder'>Result files (second order: variances)</a></h4>\n\
+ - Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br>\n", rfileres,rfileres);
+
+ fprintf(fichtm," - Variance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
+	 subdirf2(fileres,"prob"),subdirf2(fileres,"prob"));
+ fprintf(fichtm,"\
+ - Variance-covariance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
+	 subdirf2(fileres,"probcov"),subdirf2(fileres,"probcov"));
+
+ fprintf(fichtm,"\
+ - Correlation matrix of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
+	 subdirf2(fileres,"probcor"),subdirf2(fileres,"probcor"));
+ fprintf(fichtm,"\
+ - Variances and covariances of health expectancies by age and <b>initial health status</b> (cov(e<sup>ij</sup>,e<sup>kl</sup>)(estepm=%2d months): \
+   <a href=\"%s\">%s</a> <br>\n</li>",
+	   estepm,subdirf2(fileres,"cve"),subdirf2(fileres,"cve"));
+ fprintf(fichtm,"\
+ - (a) Health expectancies by health status at initial age (e<sup>ij</sup>) and standard errors (in parentheses) (b) life expectancies and standard errors (e<sup>i.</sup>=e<sup>i1</sup>+e<sup>i2</sup>+...)(estepm=%2d months): \
+   <a href=\"%s\">%s</a> <br>\n</li>",
+	   estepm,subdirf2(fileres,"stde"),subdirf2(fileres,"stde"));
+ fprintf(fichtm,"\
+ - Variances and covariances of health expectancies by age. Status (i) based health expectancies (in state j), e<sup>ij</sup> are weighted by the period prevalences in each state i (if popbased=1, an additional computation is done using the cross-sectional prevalences, i.e population based) (estepm=%d months): <a href=\"%s\">%s</a><br>\n",
+	 estepm, subdirf2(fileres,"v"),subdirf2(fileres,"v"));
+ fprintf(fichtm,"\
+ - Total life expectancy and total health expectancies to be spent in each health state e<sup>.j</sup> with their standard errors (if popbased=1, an additional computation is done using the cross-sectional prevalences, i.e population based) (estepm=%d months): <a href=\"%s\">%s</a> <br>\n",
+	 estepm, subdirf2(fileres,"t"),subdirf2(fileres,"t"));
+ fprintf(fichtm,"\
+ - Standard deviation of period (stable) prevalences: <a href=\"%s\">%s</a> <br>\n",\
+	 subdirf2(fileres,"vpl"),subdirf2(fileres,"vpl"));
+
+/*  if(popforecast==1) fprintf(fichtm,"\n */
+/*  - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n */
+/*  - Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n */
+/* 	<br>",fileres,fileres,fileres,fileres); */
+/*  else  */
+/*    fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */
+ fflush(fichtm);
+ fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");
+
+ m=pow(2,cptcoveff);
+ if (cptcovn < 1) {m=1;ncodemax[1]=1;}
+
+ jj1=0;
+ for(k1=1; k1<=m;k1++){
+   for(i1=1; i1<=ncodemax[k1];i1++){
+     jj1++;
+     if (cptcovn > 0) {
+       fprintf(fichtm,"<hr  size=\"2\" color=\"#EC5E5E\">************ Results for covariates");
+       for (cpt=1; cpt<=cptcoveff;cpt++) 
+	 fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[jj1][cpt]]);
+       fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
+     }
+     for(cpt=1; cpt<=nlstate;cpt++) {
+       fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \
+prevalence (with 95%% confidence interval) in state (%d): %s%d_%d.png <br>\
+<img src=\"%s%d_%d.png\">",cpt,subdirf2(optionfilefiname,"v"),cpt,jj1,subdirf2(optionfilefiname,"v"),cpt,jj1);  
+     }
+     fprintf(fichtm,"\n<br>- Total life expectancy by age and \
+health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \
+true period expectancies (those weighted with period prevalences are also\
+ drawn in addition to the population based expectancies computed using\
+ observed and cahotic prevalences: %s%d.png<br>\
+<img src=\"%s%d.png\">",subdirf2(optionfilefiname,"e"),jj1,subdirf2(optionfilefiname,"e"),jj1);
+   } /* end i1 */
+ }/* End k1 */
+ fprintf(fichtm,"</ul>");
+ fflush(fichtm);
+}
+
+/******************* Gnuplot file **************/
+void printinggnuplot(char fileres[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){
+
+  char dirfileres[132],optfileres[132];
+  int m0,cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0;
+  int ng=0;
+/*   if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */
+/*     printf("Problem with file %s",optionfilegnuplot); */
+/*     fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */
+/*   } */
+
+  /*#ifdef windows */
+  fprintf(ficgp,"cd \"%s\" \n",pathc);
+    /*#endif */
+  m=pow(2,cptcoveff);
+
+  strcpy(dirfileres,optionfilefiname);
+  strcpy(optfileres,"vpl");
+ /* 1eme*/
+  fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'vpl' files\n");
+  for (cpt=1; cpt<= nlstate ; cpt ++) {
+    for (k1=1; k1<= m ; k1 ++) { /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */
+     fprintf(ficgp,"\nset out \"%s%d_%d.png\" \n",subdirf2(optionfilefiname,"v"),cpt,k1);
+     fprintf(ficgp,"\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 size 320, 240\n\
+plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,subdirf2(fileres,"vpl"),k1-1,k1-1);
+
+     for (i=1; i<= nlstate ; i ++) {
+       if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
+       else        fprintf(ficgp," \%%*lf (\%%*lf)");
+     }
+     fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);
+     for (i=1; i<= nlstate ; i ++) {
+       if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
+       else fprintf(ficgp," \%%*lf (\%%*lf)");
+     } 
+     fprintf(ficgp,"\" t\"95\%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1); 
+     for (i=1; i<= nlstate ; i ++) {
+       if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
+       else fprintf(ficgp," \%%*lf (\%%*lf)");
+     }  
+     fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l lt 2",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1));
+   }
+  }
+  /*2 eme*/
+  fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files\n");
+  for (k1=1; k1<= m ; k1 ++) { 
+    fprintf(ficgp,"\nset out \"%s%d.png\" \n",subdirf2(optionfilefiname,"e"),k1);
+    fprintf(ficgp,"set ylabel \"Years\" \nset ter png small size 320, 240\nplot [%.f:%.f] ",ageminpar,fage);
+    
+    for (i=1; i<= nlstate+1 ; i ++) {
+      k=2*i;
+      fprintf(ficgp,"\"%s\" every :::%d::%d u 1:2 \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
+      for (j=1; j<= nlstate+1 ; j ++) {
+	if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
+	else fprintf(ficgp," \%%*lf (\%%*lf)");
+      }   
+      if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,");
+      else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1);
+      fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2-$3*2) \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
+      for (j=1; j<= nlstate+1 ; j ++) {
+	if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
+	else fprintf(ficgp," \%%*lf (\%%*lf)");
+      }   
+      fprintf(ficgp,"\" t\"\" w l lt 0,");
+      fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
+      for (j=1; j<= nlstate+1 ; j ++) {
+	if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
+	else fprintf(ficgp," \%%*lf (\%%*lf)");
+      }   
+      if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0");
+      else fprintf(ficgp,"\" t\"\" w l lt 0,");
+    }
+  }
+  
+  /*3eme*/
+  
+  for (k1=1; k1<= m ; k1 ++) { 
+    for (cpt=1; cpt<= nlstate ; cpt ++) {
+      /*       k=2+nlstate*(2*cpt-2); */
+      k=2+(nlstate+1)*(cpt-1);
+      fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1);
+      fprintf(ficgp,"set ter png small size 320, 240\n\
+plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileres,"e"),k1-1,k1-1,k,cpt);
+      /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
+	for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
+	fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
+	fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d+2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
+	for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
+	fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
+	
+      */
+      for (i=1; i< nlstate ; i ++) {
+	fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+i,cpt,i+1);
+	/*	fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2*i,cpt,i+1);*/
+	
+      } 
+      fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+nlstate,cpt);
+    }
+  }
+  
+  /* CV preval stable (period) */
+  for (k1=1; k1<= m ; k1 ++) { /* For each multivariate if any */
+    for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
+      k=3;
+      fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, cov=%d state=%d",k1, cpt);
+      fprintf(ficgp,"\nset out \"%s%d_%d.png\" \n",subdirf2(optionfilefiname,"p"),cpt,k1);
+      l=(nlstate+ndeath)*(cpt-1)+1;
+      fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\
+set ter png small size 320, 240\n\
+unset log y\n\
+plot [%.f:%.f]  ", ageminpar, agemaxpar);
+      for (i=1; i<= nlstate ; i ++){
+	if(i==1)
+	  fprintf(ficgp,"\"%s\"",subdirf2(fileres,"pij"));
+	else
+	  fprintf(ficgp,", '' ");
+	fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l,k+l);
+	for (j=1; j<= (nlstate-1) ; j ++)
+	  fprintf(ficgp,"+$%d",k+l+j);
+	fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt);
+      } /* nlstate */
+      fprintf(ficgp,"\n");
+    } /* end cpt state*/ 
+  } /* end covariate */  
+  
+  /* proba elementaires */
+  for(i=1,jk=1; i <=nlstate; i++){
+    for(k=1; k <=(nlstate+ndeath); k++){
+      if (k != i) {
+	for(j=1; j <=ncovmodel; j++){
+	  fprintf(ficgp,"p%d=%f ",jk,p[jk]);
+	  jk++; 
+	  fprintf(ficgp,"\n");
+	}
+      }
+    }
+   }
+  /*goto avoid;*/
+   for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/
+     for(jk=1; jk <=m; jk++) {
+       fprintf(ficgp,"\nset out \"%s%d_%d.png\" \n",subdirf2(optionfilefiname,"pe"),jk,ng); 
+       if (ng==2)
+	 fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");
+       else
+	 fprintf(ficgp,"\nset title \"Probability\"\n");
+       fprintf(ficgp,"\nset ter png small size 320, 240\nset log y\nplot  [%.f:%.f] ",ageminpar,agemaxpar);
+       i=1;
+       for(k2=1; k2<=nlstate; k2++) {
+	 k3=i;
+	 for(k=1; k<=(nlstate+ndeath); k++) {
+	   if (k != k2){
+	     if(ng==2)
+	       fprintf(ficgp," %f*exp(p%d+p%d*x",YEARM/stepm,i,i+1);
+	     else
+	       fprintf(ficgp," exp(p%d+p%d*x",i,i+1);
+	     ij=1;/* To be checked else nbcode[0][0] wrong */
+	     for(j=3; j <=ncovmodel; j++) {
+	       /* if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { /\* Bug valgrind *\/ */
+	       /* 	 /\*fprintf(ficgp,"+p%d*%d*x",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);*\/ */
+	       /* 	 ij++; */
+	       /* } */
+	       /* else */
+		 fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
+	     }
+	     fprintf(ficgp,")/(1");
+	     
+	     for(k1=1; k1 <=nlstate; k1++){   
+	       fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1);
+	       ij=1;
+	       for(j=3; j <=ncovmodel; j++){
+		 /* if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { */
+		 /*   fprintf(ficgp,"+p%d*%d*x",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]); */
+		 /*   ij++; */
+		 /* } */
+		 /* else */
+		   fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
+	       }
+	       fprintf(ficgp,")");
+	     }
+	     fprintf(ficgp,") t \"p%d%d\" ", k2,k);
+	     if ((k+k2)!= (nlstate*2+ndeath)) fprintf(ficgp,",");
+	     i=i+ncovmodel;
+	   }
+	 } /* end k */
+       } /* end k2 */
+     } /* end jk */
+   } /* end ng */
+ avoid:
+   fflush(ficgp); 
+}  /* end gnuplot */
+
+
+/*************** Moving average **************/
+int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav){
+
+  int i, cpt, cptcod;
+  int modcovmax =1;
+  int mobilavrange, mob;
+  double age;
+
+  modcovmax=2*cptcoveff;/* Max number of modalities. We suppose 
+			   a covariate has 2 modalities */
+  if (cptcovn<1) modcovmax=1; /* At least 1 pass */
+
+  if(mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){
+    if(mobilav==1) mobilavrange=5; /* default */
+    else mobilavrange=mobilav;
+    for (age=bage; age<=fage; age++)
+      for (i=1; i<=nlstate;i++)
+	for (cptcod=1;cptcod<=modcovmax;cptcod++)
+	  mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod];
+    /* We keep the original values on the extreme ages bage, fage and for 
+       fage+1 and bage-1 we use a 3 terms moving average; for fage+2 bage+2
+       we use a 5 terms etc. until the borders are no more concerned. 
+    */ 
+    for (mob=3;mob <=mobilavrange;mob=mob+2){
+      for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){
+	for (i=1; i<=nlstate;i++){
+	  for (cptcod=1;cptcod<=modcovmax;cptcod++){
+	    mobaverage[(int)age][i][cptcod] =probs[(int)age][i][cptcod];
+	      for (cpt=1;cpt<=(mob-1)/2;cpt++){
+		mobaverage[(int)age][i][cptcod] +=probs[(int)age-cpt][i][cptcod];
+		mobaverage[(int)age][i][cptcod] +=probs[(int)age+cpt][i][cptcod];
+	      }
+	    mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/mob;
+	  }
+	}
+      }/* end age */
+    }/* end mob */
+  }else return -1;
+  return 0;
+}/* End movingaverage */
+
+
+/************** Forecasting ******************/
+prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){
+  /* proj1, year, month, day of starting projection 
+     agemin, agemax range of age
+     dateprev1 dateprev2 range of dates during which prevalence is computed
+     anproj2 year of en of projection (same day and month as proj1).
+  */
+  int yearp, stepsize, hstepm, nhstepm, j, k, c, cptcod, i, h, i1;
+  int *popage;
+  double agec; /* generic age */
+  double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;
+  double *popeffectif,*popcount;
+  double ***p3mat;
+  double ***mobaverage;
+  char fileresf[FILENAMELENGTH];
+
+  agelim=AGESUP;
+  prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
+ 
+  strcpy(fileresf,"f"); 
+  strcat(fileresf,fileres);
+  if((ficresf=fopen(fileresf,"w"))==NULL) {
+    printf("Problem with forecast resultfile: %s\n", fileresf);
+    fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf);
+  }
+  printf("Computing forecasting: result on file '%s' \n", fileresf);
+  fprintf(ficlog,"Computing forecasting: result on file '%s' \n", fileresf);
+
+  if (cptcoveff==0) ncodemax[cptcoveff]=1;
+
+  if (mobilav!=0) {
+    mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
+    if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){
+      fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
+      printf(" Error in movingaverage mobilav=%d\n",mobilav);
+    }
+  }
+
+  stepsize=(int) (stepm+YEARM-1)/YEARM;
+  if (stepm<=12) stepsize=1;
+  if(estepm < stepm){
+    printf ("Problem %d lower than %d\n",estepm, stepm);
+  }
+  else  hstepm=estepm;   
+
+  hstepm=hstepm/stepm; 
+  yp1=modf(dateintmean,&yp);/* extracts integral of datemean in yp  and
+                               fractional in yp1 */
+  anprojmean=yp;
+  yp2=modf((yp1*12),&yp);
+  mprojmean=yp;
+  yp1=modf((yp2*30.5),&yp);
+  jprojmean=yp;
+  if(jprojmean==0) jprojmean=1;
+  if(mprojmean==0) jprojmean=1;
+
+  i1=cptcoveff;
+  if (cptcovn < 1){i1=1;}
+  
+  fprintf(ficresf,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); 
+  
+  fprintf(ficresf,"#****** Routine prevforecast **\n");
+
+/* 	      if (h==(int)(YEARM*yearp)){ */
+  for(cptcov=1, k=0;cptcov<=i1;cptcov++){
+    for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
+      k=k+1;
+      fprintf(ficresf,"\n#******");
+      for(j=1;j<=cptcoveff;j++) {
+	fprintf(ficresf," V%d=%d, hpijx=probability over h years, hp.jx is weighted by observed prev ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
+      }
+      fprintf(ficresf,"******\n");
+      fprintf(ficresf,"# Covariate valuofcovar yearproj age");
+      for(j=1; j<=nlstate+ndeath;j++){ 
+	for(i=1; i<=nlstate;i++) 	      
+          fprintf(ficresf," p%d%d",i,j);
+	fprintf(ficresf," p.%d",j);
+      }
+      for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) { 
+	fprintf(ficresf,"\n");
+	fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp);   
+
+     	for (agec=fage; agec>=(ageminpar-1); agec--){ 
+	  nhstepm=(int) rint((agelim-agec)*YEARM/stepm); 
+	  nhstepm = nhstepm/hstepm; 
+	  p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+	  oldm=oldms;savm=savms;
+	  hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k);  
+	
+	  for (h=0; h<=nhstepm; h++){
+	    if (h*hstepm/YEARM*stepm ==yearp) {
+              fprintf(ficresf,"\n");
+              for(j=1;j<=cptcoveff;j++) 
+                fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
+	      fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm);
+	    } 
+	    for(j=1; j<=nlstate+ndeath;j++) {
+	      ppij=0.;
+	      for(i=1; i<=nlstate;i++) {
+		if (mobilav==1) 
+		  ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][cptcod];
+		else {
+		  ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][cptcod];
+		}
+		if (h*hstepm/YEARM*stepm== yearp) {
+		  fprintf(ficresf," %.3f", p3mat[i][j][h]);
+		}
+	      } /* end i */
+	      if (h*hstepm/YEARM*stepm==yearp) {
+		fprintf(ficresf," %.3f", ppij);
+	      }
+	    }/* end j */
+	  } /* end h */
+	  free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+	} /* end agec */
+      } /* end yearp */
+    } /* end cptcod */
+  } /* end  cptcov */
+       
+  if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
+
+  fclose(ficresf);
+}
+
+/************** Forecasting *****not tested NB*************/
+populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){
+  
+  int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;
+  int *popage;
+  double calagedatem, agelim, kk1, kk2;
+  double *popeffectif,*popcount;
+  double ***p3mat,***tabpop,***tabpopprev;
+  double ***mobaverage;
+  char filerespop[FILENAMELENGTH];
+
+  tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
+  tabpopprev= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
+  agelim=AGESUP;
+  calagedatem=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM;
+  
+  prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
+  
+  
+  strcpy(filerespop,"pop"); 
+  strcat(filerespop,fileres);
+  if((ficrespop=fopen(filerespop,"w"))==NULL) {
+    printf("Problem with forecast resultfile: %s\n", filerespop);
+    fprintf(ficlog,"Problem with forecast resultfile: %s\n", filerespop);
+  }
+  printf("Computing forecasting: result on file '%s' \n", filerespop);
+  fprintf(ficlog,"Computing forecasting: result on file '%s' \n", filerespop);
+
+  if (cptcoveff==0) ncodemax[cptcoveff]=1;
+
+  if (mobilav!=0) {
+    mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
+    if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){
+      fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
+      printf(" Error in movingaverage mobilav=%d\n",mobilav);
+    }
+  }
+
+  stepsize=(int) (stepm+YEARM-1)/YEARM;
+  if (stepm<=12) stepsize=1;
+  
+  agelim=AGESUP;
+  
+  hstepm=1;
+  hstepm=hstepm/stepm; 
+  
+  if (popforecast==1) {
+    if((ficpop=fopen(popfile,"r"))==NULL) {
+      printf("Problem with population file : %s\n",popfile);exit(0);
+      fprintf(ficlog,"Problem with population file : %s\n",popfile);exit(0);
+    } 
+    popage=ivector(0,AGESUP);
+    popeffectif=vector(0,AGESUP);
+    popcount=vector(0,AGESUP);
+    
+    i=1;   
+    while ((c=fscanf(ficpop,"%d %lf\n",&popage[i],&popcount[i])) != EOF) i=i+1;
+   
+    imx=i;
+    for (i=1; i<imx;i++) popeffectif[popage[i]]=popcount[i];
+  }
+
+  for(cptcov=1,k=0;cptcov<=i2;cptcov++){
+   for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
+      k=k+1;
+      fprintf(ficrespop,"\n#******");
+      for(j=1;j<=cptcoveff;j++) {
+	fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
+      }
+      fprintf(ficrespop,"******\n");
+      fprintf(ficrespop,"# Age");
+      for(j=1; j<=nlstate+ndeath;j++) fprintf(ficrespop," P.%d",j);
+      if (popforecast==1)  fprintf(ficrespop," [Population]");
+      
+      for (cpt=0; cpt<=0;cpt++) { 
+	fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt);   
+	
+     	for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ 
+	  nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); 
+	  nhstepm = nhstepm/hstepm; 
+	  
+	  p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+	  oldm=oldms;savm=savms;
+	  hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
+	
+	  for (h=0; h<=nhstepm; h++){
+	    if (h==(int) (calagedatem+YEARM*cpt)) {
+	      fprintf(ficrespop,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm);
+	    } 
+	    for(j=1; j<=nlstate+ndeath;j++) {
+	      kk1=0.;kk2=0;
+	      for(i=1; i<=nlstate;i++) {	      
+		if (mobilav==1) 
+		  kk1=kk1+p3mat[i][j][h]*mobaverage[(int)agedeb+1][i][cptcod];
+		else {
+		  kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod];
+		}
+	      }
+	      if (h==(int)(calagedatem+12*cpt)){
+		tabpop[(int)(agedeb)][j][cptcod]=kk1;
+		  /*fprintf(ficrespop," %.3f", kk1);
+		    if (popforecast==1) fprintf(ficrespop," [%.f]", kk1*popeffectif[(int)agedeb+1]);*/
+	      }
+	    }
+	    for(i=1; i<=nlstate;i++){
+	      kk1=0.;
+		for(j=1; j<=nlstate;j++){
+		  kk1= kk1+tabpop[(int)(agedeb)][j][cptcod]; 
+		}
+		  tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1*popeffectif[(int)(agedeb+(calagedatem+12*cpt)*hstepm/YEARM*stepm-1)];
+	    }
+
+	    if (h==(int)(calagedatem+12*cpt)) for(j=1; j<=nlstate;j++) 
+	      fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]);
+	  }
+	  free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+	}
+      }
+ 
+  /******/
+
+      for (cpt=1; cpt<=(anpyram1-anpyram);cpt++) { 
+	fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt);   
+	for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){ 
+	  nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); 
+	  nhstepm = nhstepm/hstepm; 
+	  
+	  p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+	  oldm=oldms;savm=savms;
+	  hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);  
+	  for (h=0; h<=nhstepm; h++){
+	    if (h==(int) (calagedatem+YEARM*cpt)) {
+	      fprintf(ficresf,"\n %3.f ",agedeb+h*hstepm/YEARM*stepm);
+	    } 
+	    for(j=1; j<=nlstate+ndeath;j++) {
+	      kk1=0.;kk2=0;
+	      for(i=1; i<=nlstate;i++) {	      
+		kk1=kk1+p3mat[i][j][h]*tabpopprev[(int)agedeb+1][i][cptcod];	
+	      }
+	      if (h==(int)(calagedatem+12*cpt)) fprintf(ficresf," %15.2f", kk1);	
+	    }
+	  }
+	  free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+	}
+      }
+   } 
+  }
+ 
+  if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
+
+  if (popforecast==1) {
+    free_ivector(popage,0,AGESUP);
+    free_vector(popeffectif,0,AGESUP);
+    free_vector(popcount,0,AGESUP);
+  }
+  free_ma3x(tabpop,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
+  free_ma3x(tabpopprev,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
+  fclose(ficrespop);
+} /* End of popforecast */
+
+int fileappend(FILE *fichier, char *optionfich)
+{
+  if((fichier=fopen(optionfich,"a"))==NULL) {
+    printf("Problem with file: %s\n", optionfich);
+    fprintf(ficlog,"Problem with file: %s\n", optionfich);
+    return (0);
+  }
+  fflush(fichier);
+  return (1);
+}
+
+
+/**************** function prwizard **********************/
+void prwizard(int ncovmodel, int nlstate, int ndeath,  char model[], FILE *ficparo)
+{
+
+  /* Wizard to print covariance matrix template */
+
+  char ca[32], cb[32], cc[32];
+  int i,j, k, l, li, lj, lk, ll, jj, npar, itimes;
+  int numlinepar;
+
+  printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
+  fprintf(ficparo,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
+  for(i=1; i <=nlstate; i++){
+    jj=0;
+    for(j=1; j <=nlstate+ndeath; j++){
+      if(j==i) continue;
+      jj++;
+      /*ca[0]= k+'a'-1;ca[1]='\0';*/
+      printf("%1d%1d",i,j);
+      fprintf(ficparo,"%1d%1d",i,j);
+      for(k=1; k<=ncovmodel;k++){
+	/* 	  printf(" %lf",param[i][j][k]); */
+	/* 	  fprintf(ficparo," %lf",param[i][j][k]); */
+	printf(" 0.");
+	fprintf(ficparo," 0.");
+      }
+      printf("\n");
+      fprintf(ficparo,"\n");
+    }
+  }
+  printf("# Scales (for hessian or gradient estimation)\n");
+  fprintf(ficparo,"# Scales (for hessian or gradient estimation)\n");
+  npar= (nlstate+ndeath-1)*nlstate*ncovmodel; /* Number of parameters*/ 
+  for(i=1; i <=nlstate; i++){
+    jj=0;
+    for(j=1; j <=nlstate+ndeath; j++){
+      if(j==i) continue;
+      jj++;
+      fprintf(ficparo,"%1d%1d",i,j);
+      printf("%1d%1d",i,j);
+      fflush(stdout);
+      for(k=1; k<=ncovmodel;k++){
+	/* 	printf(" %le",delti3[i][j][k]); */
+	/* 	fprintf(ficparo," %le",delti3[i][j][k]); */
+	printf(" 0.");
+	fprintf(ficparo," 0.");
+      }
+      numlinepar++;
+      printf("\n");
+      fprintf(ficparo,"\n");
+    }
+  }
+  printf("# Covariance matrix\n");
+/* # 121 Var(a12)\n\ */
+/* # 122 Cov(b12,a12) Var(b12)\n\ */
+/* # 131 Cov(a13,a12) Cov(a13,b12, Var(a13)\n\ */
+/* # 132 Cov(b13,a12) Cov(b13,b12, Cov(b13,a13) Var(b13)\n\ */
+/* # 212 Cov(a21,a12) Cov(a21,b12, Cov(a21,a13) Cov(a21,b13) Var(a21)\n\ */
+/* # 212 Cov(b21,a12) Cov(b21,b12, Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21)\n\ */
+/* # 232 Cov(a23,a12) Cov(a23,b12, Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23)\n\ */
+/* # 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n" */
+  fflush(stdout);
+  fprintf(ficparo,"# Covariance matrix\n");
+  /* # 121 Var(a12)\n\ */
+  /* # 122 Cov(b12,a12) Var(b12)\n\ */
+  /* #   ...\n\ */
+  /* # 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n" */
+  
+  for(itimes=1;itimes<=2;itimes++){
+    jj=0;
+    for(i=1; i <=nlstate; i++){
+      for(j=1; j <=nlstate+ndeath; j++){
+	if(j==i) continue;
+	for(k=1; k<=ncovmodel;k++){
+	  jj++;
+	  ca[0]= k+'a'-1;ca[1]='\0';
+	  if(itimes==1){
+	    printf("#%1d%1d%d",i,j,k);
+	    fprintf(ficparo,"#%1d%1d%d",i,j,k);
+	  }else{
+	    printf("%1d%1d%d",i,j,k);
+	    fprintf(ficparo,"%1d%1d%d",i,j,k);
+	    /* 	printf(" %.5le",matcov[i][j]); */
+	  }
+	  ll=0;
+	  for(li=1;li <=nlstate; li++){
+	    for(lj=1;lj <=nlstate+ndeath; lj++){
+	      if(lj==li) continue;
+	      for(lk=1;lk<=ncovmodel;lk++){
+		ll++;
+		if(ll<=jj){
+		  cb[0]= lk +'a'-1;cb[1]='\0';
+		  if(ll<jj){
+		    if(itimes==1){
+		      printf(" Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
+		      fprintf(ficparo," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
+		    }else{
+		      printf(" 0.");
+		      fprintf(ficparo," 0.");
+		    }
+		  }else{
+		    if(itimes==1){
+		      printf(" Var(%s%1d%1d)",ca,i,j);
+		      fprintf(ficparo," Var(%s%1d%1d)",ca,i,j);
+		    }else{
+		      printf(" 0.");
+		      fprintf(ficparo," 0.");
+		    }
+		  }
+		}
+	      } /* end lk */
+	    } /* end lj */
+	  } /* end li */
+	  printf("\n");
+	  fprintf(ficparo,"\n");
+	  numlinepar++;
+	} /* end k*/
+      } /*end j */
+    } /* end i */
+  } /* end itimes */
+
+} /* end of prwizard */
+/******************* Gompertz Likelihood ******************************/
+double gompertz(double x[])
+{ 
+  double A,B,L=0.0,sump=0.,num=0.;
+  int i,n=0; /* n is the size of the sample */
+
+  for (i=0;i<=imx-1 ; i++) {
+    sump=sump+weight[i];
+    /*    sump=sump+1;*/
+    num=num+1;
+  }
+ 
+ 
+  /* for (i=0; i<=imx; i++) 
+     if (wav[i]>0) printf("i=%d ageex=%lf agecens=%lf agedc=%lf cens=%d %d\n" ,i,ageexmed[i],agecens[i],agedc[i],cens[i],wav[i]);*/
+
+  for (i=1;i<=imx ; i++)
+    {
+      if (cens[i] == 1 && wav[i]>1)
+	A=-x[1]/(x[2])*(exp(x[2]*(agecens[i]-agegomp))-exp(x[2]*(ageexmed[i]-agegomp)));
+      
+      if (cens[i] == 0 && wav[i]>1)
+	A=-x[1]/(x[2])*(exp(x[2]*(agedc[i]-agegomp))-exp(x[2]*(ageexmed[i]-agegomp)))
+	     +log(x[1]/YEARM)+x[2]*(agedc[i]-agegomp)+log(YEARM);  
+      
+      /*if (wav[i] > 1 && agecens[i] > 15) {*/ /* ??? */
+      if (wav[i] > 1 ) { /* ??? */
+	L=L+A*weight[i];
+	/* 	printf("\ni=%d A=%f L=%lf x[1]=%lf x[2]=%lf ageex=%lf agecens=%lf cens=%d agedc=%lf weight=%lf\n",i,A,L,x[1],x[2],ageexmed[i]*12,agecens[i]*12,cens[i],agedc[i]*12,weight[i]);*/
+      }
+    }
+
+ /*printf("x1=%2.9f x2=%2.9f x3=%2.9f L=%f\n",x[1],x[2],x[3],L);*/
+ 
+  return -2*L*num/sump;
+}
+
+#ifdef GSL
+/******************* Gompertz_f Likelihood ******************************/
+double gompertz_f(const gsl_vector *v, void *params)
+{ 
+  double A,B,LL=0.0,sump=0.,num=0.;
+  double *x= (double *) v->data;
+  int i,n=0; /* n is the size of the sample */
+
+  for (i=0;i<=imx-1 ; i++) {
+    sump=sump+weight[i];
+    /*    sump=sump+1;*/
+    num=num+1;
+  }
+ 
+ 
+  /* for (i=0; i<=imx; i++) 
+     if (wav[i]>0) printf("i=%d ageex=%lf agecens=%lf agedc=%lf cens=%d %d\n" ,i,ageexmed[i],agecens[i],agedc[i],cens[i],wav[i]);*/
+  printf("x[0]=%lf x[1]=%lf\n",x[0],x[1]);
+  for (i=1;i<=imx ; i++)
+    {
+      if (cens[i] == 1 && wav[i]>1)
+	A=-x[0]/(x[1])*(exp(x[1]*(agecens[i]-agegomp))-exp(x[1]*(ageexmed[i]-agegomp)));
+      
+      if (cens[i] == 0 && wav[i]>1)
+	A=-x[0]/(x[1])*(exp(x[1]*(agedc[i]-agegomp))-exp(x[1]*(ageexmed[i]-agegomp)))
+	     +log(x[0]/YEARM)+x[1]*(agedc[i]-agegomp)+log(YEARM);  
+      
+      /*if (wav[i] > 1 && agecens[i] > 15) {*/ /* ??? */
+      if (wav[i] > 1 ) { /* ??? */
+	LL=LL+A*weight[i];
+	/* 	printf("\ni=%d A=%f L=%lf x[1]=%lf x[2]=%lf ageex=%lf agecens=%lf cens=%d agedc=%lf weight=%lf\n",i,A,L,x[1],x[2],ageexmed[i]*12,agecens[i]*12,cens[i],agedc[i]*12,weight[i]);*/
+      }
+    }
+
+ /*printf("x1=%2.9f x2=%2.9f x3=%2.9f L=%f\n",x[1],x[2],x[3],L);*/
+  printf("x[0]=%lf x[1]=%lf -2*LL*num/sump=%lf\n",x[0],x[1],-2*LL*num/sump);
+ 
+  return -2*LL*num/sump;
+}
+#endif
+
+/******************* Printing html file ***********/
+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 size 320, 240\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);
+
+} 
+
+int readdata(char datafile[], int firstobs, int lastobs, int *imax)
+{
+
+  /*-------- data file ----------*/
+  FILE *fic;
+  char dummy[]="                         ";
+  int i, j, n;
+  int linei, month, year,iout;
+  char line[MAXLINE], linetmp[MAXLINE];
+  char stra[80], strb[80];
+  char *stratrunc;
+  int lstra;
+
+
+  if((fic=fopen(datafile,"r"))==NULL)    {
+    printf("Problem while opening datafile: %s\n", datafile);return 1;
+    fprintf(ficlog,"Problem while opening datafile: %s\n", datafile);return 1;
+  }
+
+  i=1;
+  linei=0;
+  while ((fgets(line, MAXLINE, fic) != NULL) &&((i >= firstobs) && (i <=lastobs))) {
+    linei=linei+1;
+    for(j=strlen(line); j>=0;j--){  /* Untabifies line */
+      if(line[j] == '\t')
+	line[j] = ' ';
+    }
+    for(j=strlen(line)-1; (line[j]==' ')||(line[j]==10)||(line[j]==13);j--){
+      ;
+    };
+    line[j+1]=0;  /* Trims blanks at end of line */
+    if(line[0]=='#'){
+      fprintf(ficlog,"Comment line\n%s\n",line);
+      printf("Comment line\n%s\n",line);
+      continue;
+    }
+    trimbb(linetmp,line); /* Trims multiple blanks in line */
+    for (j=0; line[j]!='\0';j++){
+      line[j]=linetmp[j];
+    }
+  
+
+    for (j=maxwav;j>=1;j--){
+      cutv(stra, strb, line, ' '); 
+      if(strb[0]=='.') { /* Missing status */
+	lval=-1;
+      }else{
+	errno=0;
+	lval=strtol(strb,&endptr,10); 
+      /*	if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/
+	if( strb[0]=='\0' || (*endptr != '\0')){
+	  printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,j,maxwav);
+	  fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog);
+	  return 1;
+	}
+      }
+      s[j][i]=lval;
+      
+      strcpy(line,stra);
+      cutv(stra, strb,line,' ');
+      if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
+      }
+      else  if(iout=sscanf(strb,"%s.",dummy) != 0){
+	month=99;
+	year=9999;
+      }else{
+	printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d.  Exiting.\n",strb, linei,i, line,j);
+	fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d.  Exiting.\n",strb, linei,i, line,j);fflush(ficlog);
+	return 1;
+      }
+      anint[j][i]= (double) year; 
+      mint[j][i]= (double)month; 
+      strcpy(line,stra);
+    } /* ENd Waves */
+    
+    cutv(stra, strb,line,' '); 
+    if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
+    }
+    else  if(iout=sscanf(strb,"%s.",dummy) != 0){
+      month=99;
+      year=9999;
+    }else{
+      printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .).  Exiting.\n",strb, linei,i,line);
+	fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .).  Exiting.\n",strb, linei,i,line);fflush(ficlog);
+	return 1;
+    }
+    andc[i]=(double) year; 
+    moisdc[i]=(double) month; 
+    strcpy(line,stra);
+    
+    cutv(stra, strb,line,' '); 
+    if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
+    }
+    else  if(iout=sscanf(strb,"%s.", dummy) != 0){
+      month=99;
+      year=9999;
+    }else{
+      printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .).  Exiting.\n",strb, linei,i,line);
+      fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .).  Exiting.\n",strb, linei,i,line);fflush(ficlog);
+	return 1;
+    }
+    if (year==9999) {
+      printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given.  Exiting.\n",strb, linei,i,line);
+      fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);fflush(ficlog);
+	return 1;
+
+    }
+    annais[i]=(double)(year);
+    moisnais[i]=(double)(month); 
+    strcpy(line,stra);
+    
+    cutv(stra, strb,line,' '); 
+    errno=0;
+    dval=strtod(strb,&endptr); 
+    if( strb[0]=='\0' || (*endptr != '\0')){
+      printf("Error reading data around '%f' at line number %d, \"%s\" for individual %d\nShould be a weight.  Exiting.\n",dval, i,line,linei);
+      fprintf(ficlog,"Error reading data around '%f' at line number %d, \"%s\" for individual %d\nShould be a weight.  Exiting.\n",dval, i,line,linei);
+      fflush(ficlog);
+      return 1;
+    }
+    weight[i]=dval; 
+    strcpy(line,stra);
+    
+    for (j=ncovcol;j>=1;j--){
+      cutv(stra, strb,line,' '); 
+      if(strb[0]=='.') { /* Missing status */
+	lval=-1;
+      }else{
+	errno=0;
+	lval=strtol(strb,&endptr,10); 
+	if( strb[0]=='\0' || (*endptr != '\0')){
+	  printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative).  Exiting.\n",lval, linei,i, line);
+	  fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative).  Exiting.\n",lval, linei,i, line);fflush(ficlog);
+	  return 1;
+	}
+      }
+      if(lval <-1 || lval >1){
+	printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \
+ Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \
+ for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \
+ For example, for multinomial values like 1, 2 and 3,\n \
+ build V1=0 V2=0 for the reference value (1),\n \
+        V1=1 V2=0 for (2) \n \
+ and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \
+ output of IMaCh is often meaningless.\n \
+ Exiting.\n",lval,linei, i,line,j);
+	fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \
+ Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \
+ for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \
+ For example, for multinomial values like 1, 2 and 3,\n \
+ build V1=0 V2=0 for the reference value (1),\n \
+        V1=1 V2=0 for (2) \n \
+ and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \
+ output of IMaCh is often meaningless.\n \
+ Exiting.\n",lval,linei, i,line,j);fflush(ficlog);
+	return 1;
+      }
+      covar[j][i]=(double)(lval);
+      strcpy(line,stra);
+    }  
+    lstra=strlen(stra);
+     
+    if(lstra > 9){ /* More than 2**32 or max of what printf can write with %ld */
+      stratrunc = &(stra[lstra-9]);
+      num[i]=atol(stratrunc);
+    }
+    else
+      num[i]=atol(stra);
+    /*if((s[2][i]==2) && (s[3][i]==-1)&&(s[4][i]==9)){
+      printf("%ld %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]),weight[i], (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]),  (mint[2][i]), (anint[2][i]), (s[2][i]),  (mint[3][i]), (anint[3][i]), (s[3][i]),  (mint[4][i]), (anint[4][i]), (s[4][i])); ij=ij+1;}*/
+    
+    i=i+1;
+  } /* End loop reading  data */
+
+  *imax=i-1; /* Number of individuals */
+  fclose(fic);
+ 
+  return (0);
+  endread:
+    printf("Exiting readdata: ");
+    fclose(fic);
+    return (1);
+
+
+
+}
+void removespace(char *str) {
+  char *p1 = str, *p2 = str;
+  do
+    while (*p2 == ' ')
+      p2++;
+  while (*p1++ = *p2++);
+}
+
+int decodemodel ( char model[], int lastobs) /**< This routine decode the model and returns:
+   * Model  V1+V2+V3+V8+V7*V8+V5*V6+V8*age+V3*age
+   * - cptcovt total number of covariates of the model nbocc(+)+1 = 8
+   * - cptcovn or number of covariates k of the models excluding age*products =6
+   * - cptcovage number of covariates with age*products =2
+   * - cptcovs number of simple covariates
+   * - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10
+   *     which is a new column after the 9 (ncovcol) variables. 
+   * - if k is a product Vn*Vm covar[k][i] is filled with correct values for each individual
+   * - Tprod[l] gives the kth covariates of the product Vn*Vm l=1 to cptcovprod-cptcovage
+   *    Tprod[1]@2 {5, 6}: position of first product V7*V8 is 5, and second V5*V6 is 6.
+   * - Tvard[k]  p Tvard[1][1]@4 {7, 8, 5, 6} for V7*V8 and V5*V6 .
+ */
+{
+  int i, j, k, ks;
+  int i1, j1, k1, k2;
+  char modelsav[80];
+  char stra[80], strb[80], strc[80], strd[80],stre[80];
+
+  /*removespace(model);*/
+  if (strlen(model) >1){ /* If there is at least 1 covariate */
+    j=0, j1=0, k1=0, k2=-1, ks=0, cptcovn=0;
+    j=nbocc(model,'+'); /**< j=Number of '+' */
+    j1=nbocc(model,'*'); /**< j1=Number of '*' */
+    cptcovs=j+1-j1; /**<  Number of simple covariates V1+V2*age+V3 +V3*V4=> V1 + V3 =2  */
+    cptcovt= j+1; /* Number of total covariates in the model V1 + V2*age+ V3 + V3*V4=> 4*/
+                  /* including age products which are counted in cptcovage.
+		  /* but the covariates which are products must be treated separately: ncovn=4- 2=2 (V1+V3). */
+    cptcovprod=j1; /**< Number of products  V1*V2 +v3*age = 2 */
+    cptcovprodnoage=0; /**< Number of covariate products without age: V3*V4 =1  */
+    strcpy(modelsav,model); 
+    if (strstr(model,"AGE") !=0){
+      printf("Error. AGE must be in lower case 'age' model=%s ",model);
+      fprintf(ficlog,"Error. AGE must be in lower case model=%s ",model);fflush(ficlog);
+      return 1;
+    }
+    if (strstr(model,"v") !=0){
+      printf("Error. 'v' must be in upper case 'V' model=%s ",model);
+      fprintf(ficlog,"Error. 'v' must be in upper case model=%s ",model);fflush(ficlog);
+      return 1;
+    }
+    
+    /*   Design
+     *  V1   V2   V3   V4  V5  V6  V7  V8  V9 Weight
+     *  <          ncovcol=8                >
+     * Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8
+     *   k=  1    2      3       4     5       6      7        8
+     *  cptcovn number of covariates (not including constant and age ) = # of + plus 1 = 7+1=8
+     *  covar[k,i], value of kth covariate if not including age for individual i:
+     *       covar[1][i]= (V2), covar[4][i]=(V3), covar[8][i]=(V8)
+     *  Tvar[k] # of the kth covariate:  Tvar[1]=2  Tvar[4]=3 Tvar[8]=8
+     *       if multiplied by age: V3*age Tvar[3=V3*age]=3 (V3) Tvar[7]=8 and 
+     *  Tage[++cptcovage]=k
+     *       if products, new covar are created after ncovcol with k1
+     *  Tvar[k]=ncovcol+k1; # of the kth covariate product:  Tvar[5]=ncovcol+1=10  Tvar[6]=ncovcol+1=11
+     *  Tprod[k1]=k; Tprod[1]=5 Tprod[2]= 6; gives the position of the k1th product
+     *  Tvard[k1][1]=m Tvard[k1][2]=m; Tvard[1][1]=5 (V5) Tvard[1][2]=6 Tvard[2][1]=7 (V7) Tvard[2][2]=8
+     *  Tvar[cptcovn+k2]=Tvard[k1][1];Tvar[cptcovn+k2+1]=Tvard[k1][2];
+     *  Tvar[8+1]=5;Tvar[8+2]=6;Tvar[8+3]=7;Tvar[8+4]=8 inverted
+     *  V1   V2   V3   V4  V5  V6  V7  V8  V9  V10  V11
+     *  <          ncovcol=8                >
+     *       Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8    d1   d1   d2  d2
+     *          k=  1    2      3       4     5       6      7        8    9   10   11  12
+     *     Tvar[k]= 2    1      3       3    10      11      8        8    5    6    7   8
+     * p Tvar[1]@12={2,   1,     3,      3,   11,     10,     8,       8,   7,   8,   5,  6}
+     * p Tprod[1]@2={                         6, 5}
+     *p Tvard[1][1]@4= {7, 8, 5, 6}
+     * covar[k][i]= V2   V1      ?      V3    V5*V6?   V7*V8?  ?       V8   
+     *  cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
+     *How to reorganize?
+     * Model V1 + V2 + V3 + V8 + V5*V6 + V7*V8 + V3*age + V8*age
+     * Tvars {2,   1,     3,      3,   11,     10,     8,       8,   7,   8,   5,  6}
+     *       {2,   1,     4,      8,    5,      6,     3,       7}
+     * Struct []
+     */
+
+    /* This loop fills the array Tvar from the string 'model'.*/
+    /* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */
+    /*   modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4  */
+    /* 	k=4 (age*V3) Tvar[k=4]= 3 (from V3) Tage[cptcovage=1]=4 */
+    /* 	k=3 V4 Tvar[k=3]= 4 (from V4) */
+    /* 	k=2 V1 Tvar[k=2]= 1 (from V1) */
+    /* 	k=1 Tvar[1]=2 (from V2) */
+    /* 	k=5 Tvar[5] */
+    /* for (k=1; k<=cptcovn;k++) { */
+    /* 	cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; */
+    /* 	} */
+    /* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */
+    /*
+     * Treating invertedly V2+V1+V3*age+V2*V4 is as if written V2*V4 +V3*age + V1 + V2 */
+    for(k=cptcovt; k>=1;k--) /**< Number of covariates */
+        Tvar[k]=0;
+    cptcovage=0;
+    for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */
+      cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+' 
+				     modelsav==V2+V1+V4+V3*age strb=V3*age stra=V2+V1+V4 */ 
+      if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */
+      /*      printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/
+      /*scanf("%d",i);*/
+      if (strchr(strb,'*')) {  /**< Model includes a product V2+V1+V4+V3*age strb=V3*age */
+	cutl(strc,strd,strb,'*'); /**< strd*strc  Vm*Vn: strb=V3*age(input) strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 */
+	if (strcmp(strc,"age")==0) { /**< Model includes age: Vn*age */
+	  /* covar is not filled and then is empty */
+	  cptcovprod--;
+	  cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */
+	  Tvar[k]=atoi(stre);  /* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2 */
+	  cptcovage++; /* Sums the number of covariates which include age as a product */
+	  Tage[cptcovage]=k;  /* Tage[1] = 4 */
+	  /*printf("stre=%s ", stre);*/
+	} else if (strcmp(strd,"age")==0) { /* or age*Vn */
+	  cptcovprod--;
+	  cutl(stre,strb,strc,'V');
+	  Tvar[k]=atoi(stre);
+	  cptcovage++;
+	  Tage[cptcovage]=k;
+	} else {  /* Age is not in the model product V2+V1+V1*V4+V3*age+V3*V2  strb=V3*V2*/
+	  /* loops on k1=1 (V3*V2) and k1=2 V4*V3 */
+	  cptcovn++;
+	  cptcovprodnoage++;k1++;
+	  cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/
+	  Tvar[k]=ncovcol+k1; /* For model-covariate k tells which data-covariate to use but
+				  because this model-covariate is a construction we invent a new column
+				  ncovcol + k1
+				  If already ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2
+				  Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */
+	  cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */
+	  Tprod[k1]=k;  /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2  */
+	  Tvard[k1][1] =atoi(strc); /* m 1 for V1*/
+	  Tvard[k1][2] =atoi(stre); /* n 4 for V4*/
+	  k2=k2+2;
+	  Tvar[cptcovt+k2]=Tvard[k1][1]; /* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) */
+	  Tvar[cptcovt+k2+1]=Tvard[k1][2];  /* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) */
+	  for (i=1; i<=lastobs;i++){
+	    /* Computes the new covariate which is a product of
+	       covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */
+	    covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i];
+	  }
+	} /* End age is not in the model */
+      } /* End if model includes a product */
+      else { /* no more sum */
+	/*printf("d=%s c=%s b=%s\n", strd,strc,strb);*/
+       /*  scanf("%d",i);*/
+	cutl(strd,strc,strb,'V');
+	ks++; /**< Number of simple covariates */
+	cptcovn++;
+	Tvar[k]=atoi(strd);
+      }
+      strcpy(modelsav,stra);  /* modelsav=V2+V1+V4 stra=V2+V1+V4 */ 
+      /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);
+	scanf("%d",i);*/
+    } /* end of loop + */
+  } /* end model */
+  
+  /*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products.
+    If model=V1+V1*age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0*/
+
+  /* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]);
+  printf("cptcovprod=%d ", cptcovprod);
+  fprintf(ficlog,"cptcovprod=%d ", cptcovprod);
+
+  scanf("%d ",i);*/
+
+
+  return (0); /* with covar[new additional covariate if product] and Tage if age */ 
+  endread:
+    printf("Exiting decodemodel: ");
+    return (1);
+}
+
+calandcheckages(int imx, int maxwav, double *agemin, double *agemax, int *nberr, int *nbwarn )
+{
+  int i, m;
+
+  for (i=1; i<=imx; i++) {
+    for(m=2; (m<= maxwav); m++) {
+      if (((int)mint[m][i]== 99) && (s[m][i] <= nlstate)){
+	anint[m][i]=9999;
+	s[m][i]=-1;
+      }
+      if((int)moisdc[i]==99 && (int)andc[i]==9999 && s[m][i]>nlstate){
+	*nberr++;
+	printf("Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
+	fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
+	s[m][i]=-1;
+      }
+      if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){
+	*nberr++;
+	printf("Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]); 
+	fprintf(ficlog,"Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]); 
+	s[m][i]=-1; /* We prefer to skip it (and to skip it in version 0.8a1 too */
+      }
+    }
+  }
+
+  for (i=1; i<=imx; i++)  {
+    agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);
+    for(m=firstpass; (m<= lastpass); m++){
+      if(s[m][i] >0 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5){
+	if (s[m][i] >= nlstate+1) {
+	  if(agedc[i]>0)
+	    if((int)moisdc[i]!=99 && (int)andc[i]!=9999)
+	      agev[m][i]=agedc[i];
+	  /*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/
+	    else {
+	      if ((int)andc[i]!=9999){
+		nbwarn++;
+		printf("Warning negative age at death: %ld line:%d\n",num[i],i);
+		fprintf(ficlog,"Warning negative age at death: %ld line:%d\n",num[i],i);
+		agev[m][i]=-1;
+	      }
+	    }
+	}
+	else if(s[m][i] !=9){ /* Standard case, age in fractional
+				 years but with the precision of a month */
+	  agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);
+	  if((int)mint[m][i]==99 || (int)anint[m][i]==9999)
+	    agev[m][i]=1;
+	  else if(agev[m][i] < *agemin){ 
+	    *agemin=agev[m][i];
+	    printf(" Min anint[%d][%d]=%.2f annais[%d]=%.2f, agemin=%.2f\n",m,i,anint[m][i], i,annais[i], *agemin);
+	  }
+	  else if(agev[m][i] >*agemax){
+	    *agemax=agev[m][i];
+	    printf(" Max anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.2f\n",m,i,anint[m][i], i,annais[i], *agemax);
+	  }
+	  /*agev[m][i]=anint[m][i]-annais[i];*/
+	  /*	 agev[m][i] = age[i]+2*m;*/
+	}
+	else { /* =9 */
+	  agev[m][i]=1;
+	  s[m][i]=-1;
+	}
+      }
+      else /*= 0 Unknown */
+	agev[m][i]=1;
+    }
+    
+  }
+  for (i=1; i<=imx; i++)  {
+    for(m=firstpass; (m<=lastpass); m++){
+      if (s[m][i] > (nlstate+ndeath)) {
+	*nberr++;
+	printf("Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);	
+	fprintf(ficlog,"Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);	
+	return 1;
+      }
+    }
+  }
+
+  /*for (i=1; i<=imx; i++){
+  for (m=firstpass; (m<lastpass); m++){
+     printf("%ld %d %.lf %d %d\n", num[i],(covar[1][i]),agev[m][i],s[m][i],s[m+1][i]);
+}
+
+}*/
+
+
+  printf("Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, *agemin, *agemax);
+  fprintf(ficlog,"Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, *agemin, *agemax); 
+
+  return (0);
+  endread:
+    printf("Exiting calandcheckages: ");
+    return (1);
+}
+
+
+/***********************************************/
+/**************** Main Program *****************/
+/***********************************************/
+
+int main(int argc, char *argv[])
+{
+#ifdef GSL
+  const gsl_multimin_fminimizer_type *T;
+  size_t iteri = 0, it;
+  int rval = GSL_CONTINUE;
+  int status = GSL_SUCCESS;
+  double ssval;
+#endif
+  int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav);
+  int i,j, k, n=MAXN,iter,m,size=100,cptcode, cptcod;
+  int linei, month, year,iout;
+  int jj, ll, li, lj, lk, imk;
+  int numlinepar=0; /* Current linenumber of parameter file */
+  int itimes;
+  int NDIM=2;
+  int vpopbased=0;
+
+  char ca[32], cb[32], cc[32];
+  /*  FILE *fichtm; *//* Html File */
+  /* FILE *ficgp;*/ /*Gnuplot File */
+  struct stat info;
+  double agedeb, agefin,hf;
+  double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20;
+
+  double fret;
+  double **xi,tmp,delta;
+
+  double dum; /* Dummy variable */
+  double ***p3mat;
+  double ***mobaverage;
+  int *indx;
+  char line[MAXLINE], linepar[MAXLINE];
+  char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE],model[MAXLINE];
+  char pathr[MAXLINE], pathimach[MAXLINE]; 
+  char **bp, *tok, *val; /* pathtot */
+  int firstobs=1, lastobs=10;
+  int sdeb, sfin; /* Status at beginning and end */
+  int c,  h , cpt,l;
+  int ju,jl, mi;
+  int i1,j1, jk,aa,bb, stepsize, ij;
+  int jnais,jdc,jint4,jint1,jint2,jint3,*tab; 
+  int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */
+  int mobilav=0,popforecast=0;
+  int hstepm, nhstepm;
+  int agemortsup;
+  float  sumlpop=0.;
+  double jprev1=1, mprev1=1,anprev1=2000,jprev2=1, mprev2=1,anprev2=2000;
+  double jpyram=1, mpyram=1,anpyram=2000,jpyram1=1, mpyram1=1,anpyram1=2000;
+
+  double bage, fage, age, agelim, agebase;
+  double ftolpl=FTOL;
+  double **prlim;
+  double ***param; /* Matrix of parameters */
+  double  *p;
+  double **matcov; /* Matrix of covariance */
+  double ***delti3; /* Scale */
+  double *delti; /* Scale */
+  double ***eij, ***vareij;
+  double **varpl; /* Variances of prevalence limits by age */
+  double *epj, vepp;
+  double kk1, kk2;
+  double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;
+  double **ximort;
+  char *alph[]={"a","a","b","c","d","e"}, str[4]="1234";
+  int *dcwave;
+
+  char z[1]="c", occ;
+
+  /*char  *strt;*/
+  char strtend[80];
+
+  long total_usecs;
+ 
+/*   setlocale (LC_ALL, ""); */
+/*   bindtextdomain (PACKAGE, LOCALEDIR); */
+/*   textdomain (PACKAGE); */
+/*   setlocale (LC_CTYPE, ""); */
+/*   setlocale (LC_MESSAGES, ""); */
+
+  /*   gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */
+  (void) gettimeofday(&start_time,&tzp);
+  curr_time=start_time;
+  tm = *localtime(&start_time.tv_sec);
+  tmg = *gmtime(&start_time.tv_sec);
+  strcpy(strstart,asctime(&tm));
+
+/*  printf("Localtime (at start)=%s",strstart); */
+/*  tp.tv_sec = tp.tv_sec +86400; */
+/*  tm = *localtime(&start_time.tv_sec); */
+/*   tmg.tm_year=tmg.tm_year +dsign*dyear; */
+/*   tmg.tm_mon=tmg.tm_mon +dsign*dmonth; */
+/*   tmg.tm_hour=tmg.tm_hour + 1; */
+/*   tp.tv_sec = mktime(&tmg); */
+/*   strt=asctime(&tmg); */
+/*   printf("Time(after) =%s",strstart);  */
+/*  (void) time (&time_value);
+*  printf("time=%d,t-=%d\n",time_value,time_value-86400);
+*  tm = *localtime(&time_value);
+*  strstart=asctime(&tm);
+*  printf("tim_value=%d,asctime=%s\n",time_value,strstart); 
+*/
+
+  nberr=0; /* Number of errors and warnings */
+  nbwarn=0;
+  getcwd(pathcd, size);
+
+  printf("\n%s\n%s",version,fullversion);
+  if(argc <=1){
+    printf("\nEnter the parameter file name: ");
+    fgets(pathr,FILENAMELENGTH,stdin);
+    i=strlen(pathr);
+    if(pathr[i-1]=='\n')
+      pathr[i-1]='\0';
+   for (tok = pathr; tok != NULL; ){
+      printf("Pathr |%s|\n",pathr);
+      while ((val = strsep(&tok, "\"" )) != NULL && *val == '\0');
+      printf("val= |%s| pathr=%s\n",val,pathr);
+      strcpy (pathtot, val);
+      if(pathr[0] == '\0') break; /* Dirty */
+    }
+  }
+  else{
+    strcpy(pathtot,argv[1]);
+  }
+  /*if(getcwd(pathcd, MAXLINE)!= NULL)printf ("Error pathcd\n");*/
+  /*cygwin_split_path(pathtot,path,optionfile);
+    printf("pathtot=%s, path=%s, optionfile=%s\n",pathtot,path,optionfile);*/
+  /* cutv(path,optionfile,pathtot,'\\');*/
+
+  /* Split argv[0], imach program to get pathimach */
+  printf("\nargv[0]=%s argv[1]=%s, \n",argv[0],argv[1]);
+  split(argv[0],pathimach,optionfile,optionfilext,optionfilefiname);
+  printf("\nargv[0]=%s pathimach=%s, \noptionfile=%s \noptionfilext=%s \noptionfilefiname=%s\n",argv[0],pathimach,optionfile,optionfilext,optionfilefiname);
+ /*   strcpy(pathimach,argv[0]); */
+  /* Split argv[1]=pathtot, parameter file name to get path, optionfile, extension and name */
+  split(pathtot,path,optionfile,optionfilext,optionfilefiname);
+  printf("\npathtot=%s,\npath=%s,\noptionfile=%s \noptionfilext=%s \noptionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);
+  chdir(path); /* Can be a relative path */
+  if(getcwd(pathcd,MAXLINE) > 0) /* So pathcd is the full path */
+    printf("Current directory %s!\n",pathcd);
+  strcpy(command,"mkdir ");
+  strcat(command,optionfilefiname);
+  if((outcmd=system(command)) != 0){
+    printf("Problem creating directory or it already exists %s%s, err=%d\n",path,optionfilefiname,outcmd);
+    /* fprintf(ficlog,"Problem creating directory %s%s\n",path,optionfilefiname); */
+    /* fclose(ficlog); */
+/*     exit(1); */
+  }
+/*   if((imk=mkdir(optionfilefiname))<0){ */
+/*     perror("mkdir"); */
+/*   } */
+
+  /*-------- arguments in the command line --------*/
+
+  /* Log file */
+  strcat(filelog, optionfilefiname);
+  strcat(filelog,".log");    /* */
+  if((ficlog=fopen(filelog,"w"))==NULL)    {
+    printf("Problem with logfile %s\n",filelog);
+    goto end;
+  }
+  fprintf(ficlog,"Log filename:%s\n",filelog);
+  fprintf(ficlog,"\n%s\n%s",version,fullversion);
+  fprintf(ficlog,"\nEnter the parameter file name: \n");
+  fprintf(ficlog,"pathimach=%s\npathtot=%s\n\
+ path=%s \n\
+ optionfile=%s\n\
+ optionfilext=%s\n\
+ optionfilefiname=%s\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname);
+
+  printf("Local time (at start):%s",strstart);
+  fprintf(ficlog,"Local time (at start): %s",strstart);
+  fflush(ficlog);
+/*   (void) gettimeofday(&curr_time,&tzp); */
+/*   printf("Elapsed time %d\n", asc_diff_time(curr_time.tv_sec-start_time.tv_sec,tmpout)); */
+
+  /* */
+  strcpy(fileres,"r");
+  strcat(fileres, optionfilefiname);
+  strcat(fileres,".txt");    /* Other files have txt extension */
+
+  /*---------arguments file --------*/
+
+  if((ficpar=fopen(optionfile,"r"))==NULL)    {
+    printf("Problem with optionfile %s with errno=%s\n",optionfile,strerror(errno));
+    fprintf(ficlog,"Problem with optionfile %s with errno=%s\n",optionfile,strerror(errno));
+    fflush(ficlog);
+    /* goto end; */
+    exit(70); 
+  }
+
+
+
+  strcpy(filereso,"o");
+  strcat(filereso,fileres);
+  if((ficparo=fopen(filereso,"w"))==NULL) { /* opened on subdirectory */
+    printf("Problem with Output resultfile: %s\n", filereso);
+    fprintf(ficlog,"Problem with Output resultfile: %s\n", filereso);
+    fflush(ficlog);
+    goto end;
+  }
+
+  /* Reads comments: lines beginning with '#' */
+  numlinepar=0;
+  while((c=getc(ficpar))=='#' && c!= EOF){
+    ungetc(c,ficpar);
+    fgets(line, MAXLINE, ficpar);
+    numlinepar++;
+    fputs(line,stdout);
+    fputs(line,ficparo);
+    fputs(line,ficlog);
+  }
+  ungetc(c,ficpar);
+
+  fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);
+  numlinepar++;
+  printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model);
+  fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);
+  fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);
+  fflush(ficlog);
+  while((c=getc(ficpar))=='#' && c!= EOF){
+    ungetc(c,ficpar);
+    fgets(line, MAXLINE, ficpar);
+    numlinepar++;
+    fputs(line, stdout);
+    //puts(line);
+    fputs(line,ficparo);
+    fputs(line,ficlog);
+  }
+  ungetc(c,ficpar);
+
+   
+  covar=matrix(0,NCOVMAX,1,n);  /**< used in readdata */
+  cptcovn=0; /*Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn*/
+  /* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5
+     v1+v2*age+v2*v3 makes cptcovn = 3
+  */
+  if (strlen(model)>1) 
+    ncovmodel=2+nbocc(model,'+')+1; /*Number of variables including intercept and age = cptcovn + intercept + age : v1+v2+v3+v2*v4+v5*age makes 5+2=7*/
+  else
+    ncovmodel=2;
+  nvar=ncovmodel-1; /* Suppressing age as a basic covariate */
+  nforce= (nlstate+ndeath-1)*nlstate; /* Number of forces ij from state i to j */
+  npar= nforce*ncovmodel; /* Number of parameters like aij*/
+  if(npar >MAXPARM || nlstate >NLSTATEMAX || ndeath >NDEATHMAX || ncovmodel>NCOVMAX){
+    printf("Too complex model for current IMaCh: npar=(nlstate+ndeath-1)*nlstate*ncovmodel=%d >= %d(MAXPARM) or nlstate=%d >= %d(NLSTATEMAX) or ndeath=%d >= %d(NDEATHMAX) or ncovmodel=(k+age+#of+signs)=%d(NCOVMAX) >= %d\n",npar, MAXPARM, nlstate, NLSTATEMAX, ndeath, NDEATHMAX, ncovmodel, NCOVMAX);
+    fprintf(ficlog,"Too complex model for current IMaCh: %d >=%d(MAXPARM) or %d >=%d(NLSTATEMAX) or %d >=%d(NDEATHMAX) or %d(NCOVMAX) >=%d\n",npar, MAXPARM, nlstate, NLSTATEMAX, ndeath, NDEATHMAX, ncovmodel, NCOVMAX);
+    fflush(stdout);
+    fclose (ficlog);
+    goto end;
+  }
+  delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
+  delti=delti3[1][1];
+  /*delti=vector(1,npar); *//* Scale of each paramater (output from hesscov)*/
+  if(mle==-1){ /* Print a wizard for help writing covariance matrix */
+    prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
+    printf(" You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
+    fprintf(ficlog," You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
+    free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); 
+    fclose (ficparo);
+    fclose (ficlog);
+    goto end;
+    exit(0);
+  }
+  else if(mle==-3) {
+    prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
+    printf(" You choose mle=-3, look at file %s for a template of covariance matrix \n",filereso);
+    fprintf(ficlog," You choose mle=-3, look at file %s for a template of covariance matrix \n",filereso);
+    param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
+    matcov=matrix(1,npar,1,npar);
+  }
+  else{
+    /* Read guessed parameters */
+    /* Reads comments: lines beginning with '#' */
+    while((c=getc(ficpar))=='#' && c!= EOF){
+      ungetc(c,ficpar);
+      fgets(line, MAXLINE, ficpar);
+      numlinepar++;
+      fputs(line,stdout);
+      fputs(line,ficparo);
+      fputs(line,ficlog);
+    }
+    ungetc(c,ficpar);
+    
+    param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
+    for(i=1; i <=nlstate; i++){
+      j=0;
+      for(jj=1; jj <=nlstate+ndeath; jj++){
+	if(jj==i) continue;
+	j++;
+	fscanf(ficpar,"%1d%1d",&i1,&j1);
+	if ((i1 != i) && (j1 != j)){
+	  printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \
+It might be a problem of design; if ncovcol and the model are correct\n \
+run imach with mle=-1 to get a correct template of the parameter file.\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);
+
+    /* Reads scales values */
+    p=param[1][1];
+    
+    /* Reads comments: lines beginning with '#' */
+    while((c=getc(ficpar))=='#' && c!= EOF){
+      ungetc(c,ficpar);
+      fgets(line, MAXLINE, ficpar);
+      numlinepar++;
+      fputs(line,stdout);
+      fputs(line,ficparo);
+      fputs(line,ficlog);
+    }
+    ungetc(c,ficpar);
+
+    for(i=1; i <=nlstate; i++){
+      for(j=1; j <=nlstate+ndeath-1; j++){
+	fscanf(ficpar,"%1d%1d",&i1,&j1);
+	if ((i1-i)*(j1-j)!=0){
+	  printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1);
+	  exit(1);
+	}
+	printf("%1d%1d",i,j);
+	fprintf(ficparo,"%1d%1d",i1,j1);
+	fprintf(ficlog,"%1d%1d",i1,j1);
+	for(k=1; k<=ncovmodel;k++){
+	  fscanf(ficpar,"%le",&delti3[i][j][k]);
+	  printf(" %le",delti3[i][j][k]);
+	  fprintf(ficparo," %le",delti3[i][j][k]);
+	  fprintf(ficlog," %le",delti3[i][j][k]);
+	}
+	fscanf(ficpar,"\n");
+	numlinepar++;
+	printf("\n");
+	fprintf(ficparo,"\n");
+	fprintf(ficlog,"\n");
+      }
+    }
+    fflush(ficlog);
+
+    /* Reads covariance matrix */
+    delti=delti3[1][1];
+
+
+    /* free_ma3x(delti3,1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); */ /* Hasn't to to freed here otherwise delti is no more allocated */
+  
+    /* Reads comments: lines beginning with '#' */
+    while((c=getc(ficpar))=='#' && c!= EOF){
+      ungetc(c,ficpar);
+      fgets(line, MAXLINE, ficpar);
+      numlinepar++;
+      fputs(line,stdout);
+      fputs(line,ficparo);
+      fputs(line,ficlog);
+    }
+    ungetc(c,ficpar);
+  
+    matcov=matrix(1,npar,1,npar);
+    for(i=1; i <=npar; i++)
+      for(j=1; j <=npar; j++) matcov[i][j]=0.;
+      
+    for(i=1; i <=npar; i++){
+      fscanf(ficpar,"%s",str);
+      if(mle==1)
+	printf("%s",str);
+      fprintf(ficlog,"%s",str);
+      fprintf(ficparo,"%s",str);
+      for(j=1; j <=i; j++){
+	fscanf(ficpar," %le",&matcov[i][j]);
+	if(mle==1){
+	  printf(" %.5le",matcov[i][j]);
+	}
+	fprintf(ficlog," %.5le",matcov[i][j]);
+	fprintf(ficparo," %.5le",matcov[i][j]);
+      }
+      fscanf(ficpar,"\n");
+      numlinepar++;
+      if(mle==1)
+	printf("\n");
+      fprintf(ficlog,"\n");
+      fprintf(ficparo,"\n");
+    }
+    for(i=1; i <=npar; i++)
+      for(j=i+1;j<=npar;j++)
+	matcov[i][j]=matcov[j][i];
+    
+    if(mle==1)
+      printf("\n");
+    fprintf(ficlog,"\n");
+    
+    fflush(ficlog);
+    
+    /*-------- Rewriting parameter file ----------*/
+    strcpy(rfileres,"r");    /* "Rparameterfile */
+    strcat(rfileres,optionfilefiname);    /* Parameter file first name*/
+    strcat(rfileres,".");    /* */
+    strcat(rfileres,optionfilext);    /* Other files have txt extension */
+    if((ficres =fopen(rfileres,"w"))==NULL) {
+      printf("Problem writing new parameter file: %s\n", fileres);goto end;
+      fprintf(ficlog,"Problem writing new parameter file: %s\n", fileres);goto end;
+    }
+    fprintf(ficres,"#%s\n",version);
+  }    /* End of mle != -3 */
+
+
+  n= lastobs;
+  num=lvector(1,n);
+  moisnais=vector(1,n);
+  annais=vector(1,n);
+  moisdc=vector(1,n);
+  andc=vector(1,n);
+  agedc=vector(1,n);
+  cod=ivector(1,n);
+  weight=vector(1,n);
+  for(i=1;i<=n;i++) weight[i]=1.0; /* Equal weights, 1 by default */
+  mint=matrix(1,maxwav,1,n);
+  anint=matrix(1,maxwav,1,n);
+  s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */ 
+  tab=ivector(1,NCOVMAX);
+  ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */
+
+  /* Reads data from file datafile */
+  if (readdata(datafile, firstobs, lastobs, &imx)==1)
+    goto end;
+
+  /* Calculation of the number of parameters from char model */
+    /*    modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4 
+	k=4 (age*V3) Tvar[k=4]= 3 (from V3) Tag[cptcovage=1]=4
+	k=3 V4 Tvar[k=3]= 4 (from V4)
+	k=2 V1 Tvar[k=2]= 1 (from V1)
+	k=1 Tvar[1]=2 (from V2)
+    */
+  Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */
+  /*  V2+V1+V4+age*V3 is a model with 4 covariates (3 plus signs). 
+      For each model-covariate stores the data-covariate id. Tvar[1]=2, Tvar[2]=1, Tvar[3]=4, 
+      Tvar[4=age*V3] is 3 and 'age' is recorded in Tage.
+  */
+  /* For model-covariate k tells which data-covariate to use but
+    because this model-covariate is a construction we invent a new column
+    ncovcol + k1
+    If already ncovcol=4 and model=V2+V1+V1*V4+age*V3
+    Tvar[3=V1*V4]=4+1 etc */
+  Tprod=ivector(1,NCOVMAX); /* Gives the position of a product */
+  /* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3
+     if  V2+V1+V1*V4+age*V3+V3*V2   TProd[k1=2]=5 (V3*V2)
+  */
+  Tvaraff=ivector(1,NCOVMAX); /* Unclear */
+  Tvard=imatrix(1,NCOVMAX,1,2); /* n=Tvard[k1][1]  and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm
+			    * For V3*V2 (in V2+V1+V1*V4+age*V3+V3*V2), V3*V2 position is 2nd. 
+			    * Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */
+  Tage=ivector(1,NCOVMAX); /* Gives the covariate id of covariates associated with age: V2 + V1 + age*V4 + V3*age
+			 4 covariates (3 plus signs)
+			 Tage[1=V3*age]= 4; Tage[2=age*V4] = 3
+		      */  
+
+  if(decodemodel(model, lastobs) == 1)
+    goto end;
+
+  if((double)(lastobs-imx)/(double)imx > 1.10){
+    nbwarn++;
+    printf("Warning: The value of parameter lastobs=%d is big compared to the \n  effective number of cases imx=%d, please adjust, \n  otherwise you are allocating more memory than necessary.\n",lastobs, imx); 
+    fprintf(ficlog,"Warning: The value of parameter lastobs=%d is big compared to the \n  effective number of cases imx=%d, please adjust, \n  otherwise you are allocating more memory than necessary.\n",lastobs, imx); 
+  }
+    /*  if(mle==1){*/
+  if (weightopt != 1) { /* Maximisation without weights. We can have weights different from 1 but want no weight*/
+    for(i=1;i<=imx;i++) weight[i]=1.0; /* changed to imx */
+  }
+
+    /*-calculation of age at interview from date of interview and age at death -*/
+  agev=matrix(1,maxwav,1,imx);
+
+  if(calandcheckages(imx, maxwav, &agemin, &agemax, &nberr, &nbwarn) == 1)
+    goto end;
+
+
+  agegomp=(int)agemin;
+  free_vector(moisnais,1,n);
+  free_vector(annais,1,n);
+  /* free_matrix(mint,1,maxwav,1,n);
+     free_matrix(anint,1,maxwav,1,n);*/
+  free_vector(moisdc,1,n);
+  free_vector(andc,1,n);
+  /* */
+  
+  wav=ivector(1,imx);
+  dh=imatrix(1,lastpass-firstpass+1,1,imx);
+  bh=imatrix(1,lastpass-firstpass+1,1,imx);
+  mw=imatrix(1,lastpass-firstpass+1,1,imx);
+   
+  /* Concatenates waves */
+  concatwav(wav, dh, bh, mw, s, agedc, agev,  firstpass, lastpass, imx, nlstate, stepm);
+  /* */
+ 
+  /* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */
+
+  nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); 
+  ncodemax[1]=1;
+  Ndum =ivector(-1,NCOVMAX);  
+  if (ncovmodel > 2)
+    tricode(Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */
+
+  codtab=imatrix(1,100,1,10); /* codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) */
+  /*printf(" codtab[1,1],codtab[100,10]=%d,%d\n", codtab[1][1],codtab[100][10]);*/
+  h=0;
+
+
+  /*if (cptcovn > 0) */
+      
+ 
+  m=pow(2,cptcoveff);
+ 
+  for(k=1;k<=cptcoveff; k++){ /* scans any effective covariate */
+    for(i=1; i <=pow(2,cptcoveff-k);i++){ /* i=1 to 8/1=8; i=1 to 8/2=4; i=1 to 8/8=1 */ 
+      for(j=1; j <= ncodemax[k]; j++){ /* For each modality of this covariate ncodemax=2*/
+	for(cpt=1; cpt <=pow(2,k-1); cpt++){  /* cpt=1 to 8/2**(3+1-1 or 3+1-3) =1 or 4 */ 
+	  h++;
+	  if (h>m) 
+	    h=1;
+	  /**< codtab(h,k)  k   = codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) + 1
+	   *     h     1     2     3     4
+	   *______________________________  
+	   *     1 i=1 1 i=1 1 i=1 1 i=1 1
+	   *     2     2     1     1     1
+	   *     3 i=2 1     2     1     1
+	   *     4     2     2     1     1
+	   *     5 i=3 1 i=2 1     2     1
+	   *     6     2     1     2     1
+	   *     7 i=4 1     2     2     1
+	   *     8     2     2     2     1
+	   *     9 i=5 1 i=3 1 i=2 1     1
+	   *    10     2     1     1     1
+	   *    11 i=6 1     2     1     1
+	   *    12     2     2     1     1
+	   *    13 i=7 1 i=4 1     2     1    
+	   *    14     2     1     2     1
+	   *    15 i=8 1     2     2     1
+	   *    16     2     2     2     1
+	   */
+	  codtab[h][k]=j;
+	  /*codtab[h][Tvar[k]]=j;*/
+	  printf("h=%d k=%d j=%d codtab[h][k]=%d Tvar[k]=%d codtab[h][Tvar[k]]=%d \n",h, k,j,codtab[h][k],Tvar[k],codtab[h][Tvar[k]]);
+	} 
+      }
+    }
+  } 
+  /* printf("codtab[1][2]=%d codtab[2][2]=%d",codtab[1][2],codtab[2][2]); 
+     codtab[1][2]=1;codtab[2][2]=2; */
+  /* for(i=1; i <=m ;i++){ 
+     for(k=1; k <=cptcovn; k++){
+       printf("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff);
+     }
+     printf("\n");
+     }
+     scanf("%d",i);*/
+
+ free_ivector(Ndum,-1,NCOVMAX);
+
+
+    
+  /*------------ 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");
+    fprintf(ficgp,"set datafile 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,"<html><head>\n<title>IMaCh Cov %s</title></head>\n <body><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",\
+	  optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);
+  }
+
+  fprintf(fichtm,"<html><head>\n<title>IMaCh %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \
+<hr size=\"2\" color=\"#EC5E5E\"> \n\
+Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n\
+\n\
+<hr  size=\"2\" color=\"#EC5E5E\">\
+ <ul><li><h4>Parameter files</h4>\n\
+ - Parameter file: <a href=\"%s.%s\">%s.%s</a><br>\n\
+ - Copy of the parameter file: <a href=\"o%s\">o%s</a><br>\n\
+ - Log file of the run: <a href=\"%s\">%s</a><br>\n\
+ - Gnuplot file name: <a href=\"%s\">%s</a><br>\n\
+ - Date and time at start: %s</ul>\n",\
+	  optionfilehtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model,\
+	  optionfilefiname,optionfilext,optionfilefiname,optionfilext,\
+	  fileres,fileres,\
+	  filelog,filelog,optionfilegnuplot,optionfilegnuplot,strstart);
+  fflush(fichtm);
+
+  strcpy(pathr,path);
+  strcat(pathr,optionfilefiname);
+  chdir(optionfilefiname); /* Move to directory named optionfile */
+  
+  /* Calculates basic frequencies. Computes observed prevalence at single age
+     and prints on file fileres'p'. */
+  freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart);
+
+  fprintf(fichtm,"\n");
+  fprintf(fichtm,"<br>Total number of observations=%d <br>\n\
+Youngest age at first (selected) pass %.2f, oldest age %.2f<br>\n\
+Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n",\
+	  imx,agemin,agemax,jmin,jmax,jmean);
+  pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
+    oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
+    newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
+    savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
+    oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */
+    
+   
+  /* For Powell, parameters are in a vector p[] starting at p[1]
+     so we point p on param[1][1] so that p[1] maps on param[1][1][1] */
+  p=param[1][1]; /* *(*(*(param +1)+1)+0) */
+
+  globpr=0; /* To get the number ipmx of contributions and the sum of weights*/
+
+  if (mle==-3){
+    ximort=matrix(1,NDIM,1,NDIM); 
+/*     ximort=gsl_matrix_alloc(1,NDIM,1,NDIM); */
+    cens=ivector(1,n);
+    ageexmed=vector(1,n);
+    agecens=vector(1,n);
+    dcwave=ivector(1,n);
+ 
+    for (i=1; i<=imx; i++){
+      dcwave[i]=-1;
+      for (m=firstpass; m<=lastpass; m++)
+	if (s[m][i]>nlstate) {
+	  dcwave[i]=m;
+	  /*	printf("i=%d j=%d s=%d dcwave=%d\n",i,j, s[j][i],dcwave[i]);*/
+	  break;
+	}
+    }
+
+    for (i=1; i<=imx; i++) {
+      if (wav[i]>0){
+	ageexmed[i]=agev[mw[1][i]][i];
+	j=wav[i];
+	agecens[i]=1.; 
+
+	if (ageexmed[i]> 1 && wav[i] > 0){
+	  agecens[i]=agev[mw[j][i]][i];
+	  cens[i]= 1;
+	}else if (ageexmed[i]< 1) 
+	  cens[i]= -1;
+	if (agedc[i]< AGESUP && agedc[i]>1 && dcwave[i]>firstpass && dcwave[i]<=lastpass)
+	  cens[i]=0 ;
+      }
+      else cens[i]=-1;
+    }
+    
+    for (i=1;i<=NDIM;i++) {
+      for (j=1;j<=NDIM;j++)
+	ximort[i][j]=(i == j ? 1.0 : 0.0);
+    }
+    
+    /*p[1]=0.0268; p[NDIM]=0.083;*/
+    /*printf("%lf %lf", p[1], p[2]);*/
+    
+    
+#ifdef GSL
+    printf("GSL optimization\n");  fprintf(ficlog,"Powell\n");
+#elsedef
+    printf("Powell\n");  fprintf(ficlog,"Powell\n");
+#endif
+    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);
+    }
+#ifdef GSL
+    fprintf(ficrespow,"# GSL optimization\n# iter -2*LL");
+#elsedef
+    fprintf(ficrespow,"# Powell\n# iter -2*LL");
+#endif
+    /*  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");
+#ifdef GSL
+    /* gsl starts here */ 
+    T = gsl_multimin_fminimizer_nmsimplex;
+    gsl_multimin_fminimizer *sfm = NULL;
+    gsl_vector *ss, *x;
+    gsl_multimin_function minex_func;
+
+    /* Initial vertex size vector */
+    ss = gsl_vector_alloc (NDIM);
+    
+    if (ss == NULL){
+      GSL_ERROR_VAL ("failed to allocate space for ss", GSL_ENOMEM, 0);
+    }
+    /* Set all step sizes to 1 */
+    gsl_vector_set_all (ss, 0.001);
+
+    /* Starting point */
+    
+    x = gsl_vector_alloc (NDIM);
+    
+    if (x == NULL){
+      gsl_vector_free(ss);
+      GSL_ERROR_VAL ("failed to allocate space for x", GSL_ENOMEM, 0);
+    }
+  
+    /* Initialize method and iterate */
+    /*     p[1]=0.0268; p[NDIM]=0.083; */
+/*     gsl_vector_set(x, 0, 0.0268); */
+/*     gsl_vector_set(x, 1, 0.083); */
+    gsl_vector_set(x, 0, p[1]);
+    gsl_vector_set(x, 1, p[2]);
+
+    minex_func.f = &gompertz_f;
+    minex_func.n = NDIM;
+    minex_func.params = (void *)&p; /* ??? */
+    
+    sfm = gsl_multimin_fminimizer_alloc (T, NDIM);
+    gsl_multimin_fminimizer_set (sfm, &minex_func, x, ss);
+    
+    printf("Iterations beginning .....\n\n");
+    printf("Iter. #    Intercept       Slope     -Log Likelihood     Simplex size\n");
+
+    iteri=0;
+    while (rval == GSL_CONTINUE){
+      iteri++;
+      status = gsl_multimin_fminimizer_iterate(sfm);
+      
+      if (status) printf("error: %s\n", gsl_strerror (status));
+      fflush(0);
+      
+      if (status) 
+        break;
+      
+      rval = gsl_multimin_test_size (gsl_multimin_fminimizer_size (sfm), 1e-6);
+      ssval = gsl_multimin_fminimizer_size (sfm);
+      
+      if (rval == GSL_SUCCESS)
+        printf ("converged to a local maximum at\n");
+      
+      printf("%5d ", iteri);
+      for (it = 0; it < NDIM; it++){
+	printf ("%10.5f ", gsl_vector_get (sfm->x, it));
+      }
+      printf("f() = %-10.5f ssize = %.7f\n", sfm->fval, ssval);
+    }
+    
+    printf("\n\n Please note: Program should be run many times with varying starting points to detemine global maximum\n\n");
+    
+    gsl_vector_free(x); /* initial values */
+    gsl_vector_free(ss); /* inital step size */
+    for (it=0; it<NDIM; it++){
+      p[it+1]=gsl_vector_get(sfm->x,it);
+      fprintf(ficrespow," %.12lf", p[it]);
+    }
+    gsl_multimin_fminimizer_free (sfm); /* p *(sfm.x.data) et p *(sfm.x.data+1)  */
+#endif
+#ifdef POWELL
+     powell(p,ximort,NDIM,ftol,&iter,&fret,gompertz);
+#endif  
+    fclose(ficrespow);
+    
+    hesscov(matcov, p, NDIM, delti, 1e-4, gompertz); 
+
+    for(i=1; i <=NDIM; i++)
+      for(j=i+1;j<=NDIM;j++)
+	matcov[i][j]=matcov[j][i];
+    
+    printf("\nCovariance matrix\n ");
+    for(i=1; i <=NDIM; i++) {
+      for(j=1;j<=NDIM;j++){ 
+	printf("%f ",matcov[i][j]);
+      }
+      printf("\n ");
+    }
+    
+    printf("iter=%d MLE=%f Eq=%lf*exp(%lf*(age-%d))\n",iter,-gompertz(p),p[1],p[2],agegomp);
+    for (i=1;i<=NDIM;i++) 
+      printf("%f [%f ; %f]\n",p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(matcov[i][i]));
+
+    lsurv=vector(1,AGESUP);
+    lpop=vector(1,AGESUP);
+    tpop=vector(1,AGESUP);
+    lsurv[agegomp]=100000;
+    
+    for (k=agegomp;k<=AGESUP;k++) {
+      agemortsup=k;
+      if (p[1]*exp(p[2]*(k-agegomp))>1) break;
+    }
+    
+    for (k=agegomp;k<agemortsup;k++)
+      lsurv[k+1]=lsurv[k]-lsurv[k]*(p[1]*exp(p[2]*(k-agegomp)));
+    
+    for (k=agegomp;k<agemortsup;k++){
+      lpop[k]=(lsurv[k]+lsurv[k+1])/2.;
+      sumlpop=sumlpop+lpop[k];
+    }
+    
+    tpop[agegomp]=sumlpop;
+    for (k=agegomp;k<(agemortsup-3);k++){
+      /*  tpop[k+1]=2;*/
+      tpop[k+1]=tpop[k]-lpop[k];
+    }
+    
+    
+    printf("\nAge   lx     qx    dx    Lx     Tx     e(x)\n");
+    for (k=agegomp;k<(agemortsup-2);k++) 
+      printf("%d %.0lf %lf %.0lf %.0lf %.0lf %lf\n",k,lsurv[k],p[1]*exp(p[2]*(k-agegomp)),(p[1]*exp(p[2]*(k-agegomp)))*lsurv[k],lpop[k],tpop[k],tpop[k]/lsurv[k]);
+    
+    
+    replace_back_to_slash(pathc,pathcd); /* 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);
+#ifdef GSL
+    free_ivector(cens,1,n);
+    free_vector(agecens,1,n);
+    free_ivector(dcwave,1,n);
+    free_matrix(ximort,1,NDIM,1,NDIM);
+#endif
+  } /* Endof if mle==-3 */
+  
+  else{ /* For mle >=1 */
+    globpr=0;/* debug */
+    likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
+    printf("First Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);
+    for (k=1; k<=npar;k++)
+      printf(" %d %8.5f",k,p[k]);
+    printf("\n");
+    globpr=1; /* to print the contributions */
+    likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
+    printf("Second Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);
+    for (k=1; k<=npar;k++)
+      printf(" %d %8.5f",k,p[k]);
+    printf("\n");
+    if(mle>=1){ /* Could be 1 or 2 */
+      mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);
+    }
+    
+    /*--------- results files --------------*/
+    fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model);
+    
+    
+    fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
+    printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
+    fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
+    for(i=1,jk=1; i <=nlstate; i++){
+      for(k=1; k <=(nlstate+ndeath); k++){
+	if (k != i) {
+	  printf("%d%d ",i,k);
+	  fprintf(ficlog,"%d%d ",i,k);
+	  fprintf(ficres,"%1d%1d ",i,k);
+	  for(j=1; j <=ncovmodel; j++){
+	    printf("%lf ",p[jk]);
+	    fprintf(ficlog,"%lf ",p[jk]);
+	    fprintf(ficres,"%lf ",p[jk]);
+	    jk++; 
+	  }
+	  printf("\n");
+	  fprintf(ficlog,"\n");
+	  fprintf(ficres,"\n");
+	}
+      }
+    }
+    if(mle!=0){
+      /* Computing hessian and covariance matrix */
+      ftolhess=ftol; /* Usually correct */
+      hesscov(matcov, p, npar, delti, ftolhess, func);
+    }
+    fprintf(ficres,"# Scales (for hessian or gradient estimation)\n");
+    printf("# Scales (for hessian or gradient estimation)\n");
+    fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n");
+    for(i=1,jk=1; i <=nlstate; i++){
+      for(j=1; j <=nlstate+ndeath; j++){
+	if (j!=i) {
+	  fprintf(ficres,"%1d%1d",i,j);
+	  printf("%1d%1d",i,j);
+	  fprintf(ficlog,"%1d%1d",i,j);
+	  for(k=1; k<=ncovmodel;k++){
+	    printf(" %.5e",delti[jk]);
+	    fprintf(ficlog," %.5e",delti[jk]);
+	    fprintf(ficres," %.5e",delti[jk]);
+	    jk++;
+	  }
+	  printf("\n");
+	  fprintf(ficlog,"\n");
+	  fprintf(ficres,"\n");
+	}
+      }
+    }
+    
+    fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");
+    if(mle>=1)
+      printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");
+    fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n#   ...\n# 232 Cov(b23,a12)  Cov(b23,b12) ... Var (b23)\n");
+    /* # 121 Var(a12)\n\ */
+    /* # 122 Cov(b12,a12) Var(b12)\n\ */
+    /* # 131 Cov(a13,a12) Cov(a13,b12, Var(a13)\n\ */
+    /* # 132 Cov(b13,a12) Cov(b13,b12, Cov(b13,a13) Var(b13)\n\ */
+    /* # 212 Cov(a21,a12) Cov(a21,b12, Cov(a21,a13) Cov(a21,b13) Var(a21)\n\ */
+    /* # 212 Cov(b21,a12) Cov(b21,b12, Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21)\n\ */
+    /* # 232 Cov(a23,a12) Cov(a23,b12, Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23)\n\ */
+    /* # 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n" */
+    
+    
+    /* Just to have a covariance matrix which will be more understandable
+       even is we still don't want to manage dictionary of variables
+    */
+    for(itimes=1;itimes<=2;itimes++){
+      jj=0;
+      for(i=1; i <=nlstate; i++){
+	for(j=1; j <=nlstate+ndeath; j++){
+	  if(j==i) continue;
+	  for(k=1; k<=ncovmodel;k++){
+	    jj++;
+	    ca[0]= k+'a'-1;ca[1]='\0';
+	    if(itimes==1){
+	      if(mle>=1)
+		printf("#%1d%1d%d",i,j,k);
+	      fprintf(ficlog,"#%1d%1d%d",i,j,k);
+	      fprintf(ficres,"#%1d%1d%d",i,j,k);
+	    }else{
+	      if(mle>=1)
+		printf("%1d%1d%d",i,j,k);
+	      fprintf(ficlog,"%1d%1d%d",i,j,k);
+	      fprintf(ficres,"%1d%1d%d",i,j,k);
+	    }
+	    ll=0;
+	    for(li=1;li <=nlstate; li++){
+	      for(lj=1;lj <=nlstate+ndeath; lj++){
+		if(lj==li) continue;
+		for(lk=1;lk<=ncovmodel;lk++){
+		  ll++;
+		  if(ll<=jj){
+		    cb[0]= lk +'a'-1;cb[1]='\0';
+		    if(ll<jj){
+		      if(itimes==1){
+			if(mle>=1)
+			  printf(" Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
+			fprintf(ficlog," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
+			fprintf(ficres," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
+		      }else{
+			if(mle>=1)
+			  printf(" %.5e",matcov[jj][ll]); 
+			fprintf(ficlog," %.5e",matcov[jj][ll]); 
+			fprintf(ficres," %.5e",matcov[jj][ll]); 
+		      }
+		    }else{
+		      if(itimes==1){
+			if(mle>=1)
+			  printf(" Var(%s%1d%1d)",ca,i,j);
+			fprintf(ficlog," Var(%s%1d%1d)",ca,i,j);
+			fprintf(ficres," Var(%s%1d%1d)",ca,i,j);
+		      }else{
+			if(mle>=1)
+			  printf(" %.5e",matcov[jj][ll]); 
+			fprintf(ficlog," %.5e",matcov[jj][ll]); 
+			fprintf(ficres," %.5e",matcov[jj][ll]); 
+		      }
+		    }
+		  }
+		} /* end lk */
+	      } /* end lj */
+	    } /* end li */
+	    if(mle>=1)
+	      printf("\n");
+	    fprintf(ficlog,"\n");
+	    fprintf(ficres,"\n");
+	    numlinepar++;
+	  } /* end k*/
+	} /*end j */
+      } /* end i */
+    } /* end itimes */
+    
+    fflush(ficlog);
+    fflush(ficres);
+    
+    while((c=getc(ficpar))=='#' && c!= EOF){
+      ungetc(c,ficpar);
+      fgets(line, MAXLINE, ficpar);
+      fputs(line,stdout);
+      fputs(line,ficparo);
+    }
+    ungetc(c,ficpar);
+    
+    estepm=0;
+    fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm);
+    if (estepm==0 || estepm < stepm) estepm=stepm;
+    if (fage <= 2) {
+      bage = ageminpar;
+      fage = agemaxpar;
+    }
+    
+    fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n");
+    fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);
+    fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);
+    
+    while((c=getc(ficpar))=='#' && c!= EOF){
+      ungetc(c,ficpar);
+      fgets(line, MAXLINE, ficpar);
+      fputs(line,stdout);
+      fputs(line,ficparo);
+    }
+    ungetc(c,ficpar);
+    
+    fscanf(ficpar,"begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf mov_average=%d\n",&jprev1, &mprev1,&anprev1,&jprev2, &mprev2,&anprev2,&mobilav);
+    fprintf(ficparo,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
+    fprintf(ficres,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
+    printf("begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
+    fprintf(ficlog,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
+    
+    while((c=getc(ficpar))=='#' && c!= EOF){
+      ungetc(c,ficpar);
+      fgets(line, MAXLINE, ficpar);
+      fputs(line,stdout);
+      fputs(line,ficparo);
+    }
+    ungetc(c,ficpar);
+    
+    
+    dateprev1=anprev1+(mprev1-1)/12.+(jprev1-1)/365.;
+    dateprev2=anprev2+(mprev2-1)/12.+(jprev2-1)/365.;
+    
+    fscanf(ficpar,"pop_based=%d\n",&popbased);
+    fprintf(ficparo,"pop_based=%d\n",popbased);   
+    fprintf(ficres,"pop_based=%d\n",popbased);   
+    
+    while((c=getc(ficpar))=='#' && c!= EOF){
+      ungetc(c,ficpar);
+      fgets(line, MAXLINE, ficpar);
+      fputs(line,stdout);
+      fputs(line,ficparo);
+    }
+    ungetc(c,ficpar);
+    
+    fscanf(ficpar,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj);
+    fprintf(ficparo,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
+    printf("prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
+    fprintf(ficlog,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
+    fprintf(ficres,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
+    /* day and month of proj2 are not used but only year anproj2.*/
+    
+    
+    
+     /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint); */
+    /* ,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); */
+    
+    replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */
+    printinggnuplot(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);
+    
+    printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,\
+		 model,imx,jmin,jmax,jmean,rfileres,popforecast,estepm,\
+		 jprev1,mprev1,anprev1,jprev2,mprev2,anprev2);
+      
+   /*------------ free_vector  -------------*/
+   /*  chdir(path); */
+ 
+    free_ivector(wav,1,imx);
+    free_imatrix(dh,1,lastpass-firstpass+1,1,imx);
+    free_imatrix(bh,1,lastpass-firstpass+1,1,imx);
+    free_imatrix(mw,1,lastpass-firstpass+1,1,imx);   
+    free_lvector(num,1,n);
+    free_vector(agedc,1,n);
+    /*free_matrix(covar,0,NCOVMAX,1,n);*/
+    /*free_matrix(covar,1,NCOVMAX,1,n);*/
+    fclose(ficparo);
+    fclose(ficres);
+
+
+    /*--------------- Prevalence limit  (period or stable prevalence) --------------*/
+#include "prevlim.h"  /* Use ficrespl, ficlog */
+    fclose(ficrespl);
+
+#ifdef FREEEXIT2
+#include "freeexit2.h"
+#endif
+
+    /*------------- h Pij x at various ages ------------*/
+#include "hpijx.h"
+    fclose(ficrespij);
+
+  /*-------------- Variance of one-step probabilities---*/
+    k=1;
+    varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart);
+
+
+    probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
+    for(i=1;i<=AGESUP;i++)
+      for(j=1;j<=NCOVMAX;j++)
+	for(k=1;k<=NCOVMAX;k++)
+	  probs[i][j][k]=0.;
+
+    /*---------- Forecasting ------------------*/
+    /*if((stepm == 1) && (strcmp(model,".")==0)){*/
+    if(prevfcast==1){
+      /*    if(stepm ==1){*/
+      prevforecast(fileres, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);
+      /* (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);*/
+      /*      }  */
+      /*      else{ */
+      /*        erreur=108; */
+      /*        printf("Warning %d!! You can only forecast the prevalences if the optimization\n  has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */
+      /*        fprintf(ficlog,"Warning %d!! You can only forecast the prevalences if the optimization\n  has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */
+      /*      } */
+    }
+  
+
+    /* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */
+
+    prevalence(probs, agemin, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
+    /*  printf("ageminpar=%f, agemax=%f, s[lastpass][imx]=%d, agev[lastpass][imx]=%f, nlstate=%d, imx=%d,  mint[lastpass][imx]=%f, anint[lastpass][imx]=%f,dateprev1=%f, dateprev2=%f, firstpass=%d, lastpass=%d\n",\
+	ageminpar, agemax, s[lastpass][imx], agev[lastpass][imx], nlstate, imx, mint[lastpass][imx],anint[lastpass][imx], dateprev1, dateprev2, firstpass, lastpass);
+    */
+
+    if (mobilav!=0) {
+      mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
+      if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){
+	fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
+	printf(" Error in movingaverage mobilav=%d\n",mobilav);
+      }
+    }
+
+
+    /*---------- Health expectancies, no variances ------------*/
+
+    strcpy(filerese,"e");
+    strcat(filerese,fileres);
+    if((ficreseij=fopen(filerese,"w"))==NULL) {
+      printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
+      fprintf(ficlog,"Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
+    }
+    printf("Computing Health Expectancies: result on file '%s' \n", filerese);
+    fprintf(ficlog,"Computing Health Expectancies: result on file '%s' \n", filerese);
+    /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
+      for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
+          
+    for (k=1; k <= (int) pow(2,cptcoveff); k++){
+	fprintf(ficreseij,"\n#****** ");
+	for(j=1;j<=cptcoveff;j++) {
+	  fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
+	}
+	fprintf(ficreseij,"******\n");
+
+	eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
+	oldm=oldms;savm=savms;
+	evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart);  
+      
+	free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
+      /*}*/
+    }
+    fclose(ficreseij);
+
+
+    /*---------- Health expectancies and variances ------------*/
+
+
+    strcpy(filerest,"t");
+    strcat(filerest,fileres);
+    if((ficrest=fopen(filerest,"w"))==NULL) {
+      printf("Problem with total LE resultfile: %s\n", filerest);goto end;
+      fprintf(ficlog,"Problem with total LE resultfile: %s\n", filerest);goto end;
+    }
+    printf("Computing Total Life expectancies with their standard errors: file '%s' \n", filerest); 
+    fprintf(ficlog,"Computing Total Life expectancies with their standard errors: file '%s' \n", filerest); 
+
+
+    strcpy(fileresstde,"stde");
+    strcat(fileresstde,fileres);
+    if((ficresstdeij=fopen(fileresstde,"w"))==NULL) {
+      printf("Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);
+      fprintf(ficlog,"Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);
+    }
+    printf("Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);
+    fprintf(ficlog,"Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);
+
+    strcpy(filerescve,"cve");
+    strcat(filerescve,fileres);
+    if((ficrescveij=fopen(filerescve,"w"))==NULL) {
+      printf("Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);
+      fprintf(ficlog,"Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);
+    }
+    printf("Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);
+    fprintf(ficlog,"Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);
+
+    strcpy(fileresv,"v");
+    strcat(fileresv,fileres);
+    if((ficresvij=fopen(fileresv,"w"))==NULL) {
+      printf("Problem with variance resultfile: %s\n", fileresv);exit(0);
+      fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0);
+    }
+    printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
+    fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
+
+    /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
+      for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
+          
+    for (k=1; k <= (int) pow(2,cptcoveff); k++){
+    	fprintf(ficrest,"\n#****** ");
+	for(j=1;j<=cptcoveff;j++) 
+	  fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
+	fprintf(ficrest,"******\n");
+
+	fprintf(ficresstdeij,"\n#****** ");
+	fprintf(ficrescveij,"\n#****** ");
+	for(j=1;j<=cptcoveff;j++) {
+	  fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
+	  fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
+	}
+	fprintf(ficresstdeij,"******\n");
+	fprintf(ficrescveij,"******\n");
+
+	fprintf(ficresvij,"\n#****** ");
+	for(j=1;j<=cptcoveff;j++) 
+	  fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
+	fprintf(ficresvij,"******\n");
+
+	eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
+	oldm=oldms;savm=savms;
+	cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart);  
+	/*
+	 */
+	/* goto endfree; */
+ 
+	vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
+	pstamp(ficrest);
+
+
+	for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/
+	  oldm=oldms;savm=savms; /* Segmentation fault */
+	  varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart);
+	  fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n#  (weighted average of eij where weights are ");
+	  if(vpopbased==1)
+	    fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);
+	  else
+	    fprintf(ficrest,"the age specific period (stable) prevalences in each health state \n");
+	  fprintf(ficrest,"# Age e.. (std) ");
+	  for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);
+	  fprintf(ficrest,"\n");
+
+	  epj=vector(1,nlstate+1);
+	  for(age=bage; age <=fage ;age++){
+	    prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
+	    if (vpopbased==1) {
+	      if(mobilav ==0){
+		for(i=1; i<=nlstate;i++)
+		  prlim[i][i]=probs[(int)age][i][k];
+	      }else{ /* mobilav */ 
+		for(i=1; i<=nlstate;i++)
+		  prlim[i][i]=mobaverage[(int)age][i][k];
+	      }
+	    }
+	
+	    fprintf(ficrest," %4.0f",age);
+	    for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){
+	      for(i=1, epj[j]=0.;i <=nlstate;i++) {
+		epj[j] += prlim[i][i]*eij[i][j][(int)age];
+		/*  printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]);*/
+	      }
+	      epj[nlstate+1] +=epj[j];
+	    }
+
+	    for(i=1, vepp=0.;i <=nlstate;i++)
+	      for(j=1;j <=nlstate;j++)
+		vepp += vareij[i][j][(int)age];
+	    fprintf(ficrest," %7.3f (%7.3f)", epj[nlstate+1],sqrt(vepp));
+	    for(j=1;j <=nlstate;j++){
+	      fprintf(ficrest," %7.3f (%7.3f)", epj[j],sqrt(vareij[j][j][(int)age]));
+	    }
+	    fprintf(ficrest,"\n");
+	  }
+	}
+	free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
+	free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);
+	free_vector(epj,1,nlstate+1);
+      /*}*/
+    }
+    free_vector(weight,1,n);
+    free_imatrix(Tvard,1,NCOVMAX,1,2);
+    free_imatrix(s,1,maxwav+1,1,n);
+    free_matrix(anint,1,maxwav,1,n); 
+    free_matrix(mint,1,maxwav,1,n);
+    free_ivector(cod,1,n);
+    free_ivector(tab,1,NCOVMAX);
+    fclose(ficresstdeij);
+    fclose(ficrescveij);
+    fclose(ficresvij);
+    fclose(ficrest);
+    fclose(ficpar);
+  
+    /*------- Variance of period (stable) prevalence------*/   
+
+    strcpy(fileresvpl,"vpl");
+    strcat(fileresvpl,fileres);
+    if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {
+      printf("Problem with variance of period (stable) prevalence  resultfile: %s\n", fileresvpl);
+      exit(0);
+    }
+    printf("Computing Variance-covariance of period (stable) prevalence: file '%s' \n", fileresvpl);
+
+    /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
+      for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
+          
+    for (k=1; k <= (int) pow(2,cptcoveff); k++){
+    	fprintf(ficresvpl,"\n#****** ");
+	for(j=1;j<=cptcoveff;j++) 
+	  fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
+	fprintf(ficresvpl,"******\n");
+      
+	varpl=matrix(1,nlstate,(int) bage, (int) fage);
+	oldm=oldms;savm=savms;
+	varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k,strstart);
+	free_matrix(varpl,1,nlstate,(int) bage, (int)fage);
+      /*}*/
+    }
+
+    fclose(ficresvpl);
+
+    /*---------- End : free ----------------*/
+    if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
+    free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
+  }  /* mle==-3 arrives here for freeing */
+ endfree:
+    free_matrix(prlim,1,nlstate,1,nlstate); /*here or after loop ? */
+    free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);
+    free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);
+    free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);
+    free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);
+    free_matrix(covar,0,NCOVMAX,1,n);
+    free_matrix(matcov,1,npar,1,npar);
+    /*free_vector(delti,1,npar);*/
+    free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); 
+    free_matrix(agev,1,maxwav,1,imx);
+    free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
+
+    free_ivector(ncodemax,1,NCOVMAX);
+    free_ivector(Tvar,1,NCOVMAX);
+    free_ivector(Tprod,1,NCOVMAX);
+    free_ivector(Tvaraff,1,NCOVMAX);
+    free_ivector(Tage,1,NCOVMAX);
+
+    free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX);
+    free_imatrix(codtab,1,100,1,10);
+  fflush(fichtm);
+  fflush(ficgp);
+  
+
+  if((nberr >0) || (nbwarn>0)){
+    printf("End of Imach with %d errors and/or %d warnings\n",nberr,nbwarn);
+    fprintf(ficlog,"End of Imach with %d errors and/or warnings %d\n",nberr,nbwarn);
+  }else{
+    printf("End of Imach\n");
+    fprintf(ficlog,"End of Imach\n");
+  }
+  printf("See log file on %s\n",filelog);
+  /*  gettimeofday(&end_time, (struct timezone*)0);*/  /* after time */
+  (void) gettimeofday(&end_time,&tzp);
+  tm = *localtime(&end_time.tv_sec);
+  tmg = *gmtime(&end_time.tv_sec);
+  strcpy(strtend,asctime(&tm));
+  printf("Local time at start %s\nLocal time at end   %s",strstart, strtend); 
+  fprintf(ficlog,"Local time at start %s\nLocal time at end   %s\n",strstart, strtend); 
+  printf("Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));
+
+  printf("Total time was %ld Sec.\n", end_time.tv_sec -start_time.tv_sec);
+  fprintf(ficlog,"Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));
+  fprintf(ficlog,"Total time was %ld 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>\n</body></html>",strstart, strtend);
+  fclose(fichtm);
+  fprintf(fichtmcov,"<br>Local time at start %s<br>Local time at end   %s<br>\n</body></html>",strstart, strtend);
+  fclose(fichtmcov);
+  fclose(ficgp);
+  fclose(ficlog);
+  /*------ End -----------*/
+
+
+   printf("Before Current directory %s!\n",pathcd);
+   if(chdir(pathcd) != 0)
+    printf("Can't move to directory %s!\n",path);
+  if(getcwd(pathcd,MAXLINE) > 0)
+    printf("Current directory %s!\n",pathcd);
+  /*strcat(plotcmd,CHARSEPARATOR);*/
+  sprintf(plotcmd,"gnuplot");
+#ifndef UNIX
+  sprintf(plotcmd,"\"%sgnuplot.exe\"",pathimach);
+#endif
+  if(!stat(plotcmd,&info)){
+    printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);
+    if(!stat(getenv("GNUPLOTBIN"),&info)){
+      printf("Error gnuplot program not found: %s Environment GNUPLOTBIN not set.\n",plotcmd);fflush(stdout);
+    }else
+      strcpy(pplotcmd,plotcmd);
+#ifdef UNIX
+    strcpy(plotcmd,GNUPLOTPROGRAM);
+    if(!stat(plotcmd,&info)){
+      printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);
+    }else
+      strcpy(pplotcmd,plotcmd);
+#endif
+  }else
+    strcpy(pplotcmd,plotcmd);
+  
+  sprintf(plotcmd,"%s %s",pplotcmd, optionfilegnuplot);
+  printf("Starting graphs with: %s\n",plotcmd);fflush(stdout);
+
+  if((outcmd=system(plotcmd)) != 0){
+    printf("\n Problem with gnuplot command %s, err=%d\n", plotcmd, outcmd);
+    printf("\n Trying on same directory\n");
+    sprintf(plotcmd,"%sgnuplot %s", pathimach, optionfilegnuplot);
+    if((outcmd=system(plotcmd)) != 0)
+      printf("\n Still a problem with gnuplot command %s, err=%d\n", plotcmd, outcmd);
+  }
+  printf(" Wait...");
+  while (z[0] != 'q') {
+    /* chdir(path); */
+    printf("\nType e to edit output files, g to graph again and q for exiting: ");
+    scanf("%s",z);
+/*     if (z[0] == 'c') system("./imach"); */
+    if (z[0] == 'e') {
+#ifdef OSX
+      sprintf(pplotcmd, "open %s", optionfilehtm);
+#else
+      sprintf(pplotcmd, "%s", optionfilehtm);
+#endif
+      printf("Starting browser with: %s",pplotcmd);fflush(stdout);
+      system(pplotcmd);
+    }
+    else if (z[0] == 'g') system(plotcmd);
+    else if (z[0] == 'q') exit(0);
+  }
+  end:
+  while (z[0] != 'q') {
+    printf("\nType  q for exiting: ");
+    scanf("%s",z);
+  }
+}
+
+
+