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version 1.58, 2002/07/26 12:29:55	version 1.83, 2003/06/10 13:39:11
Line 1	Line 1
/* $Id$	/* $Id$
	$State$
	$Log$
	Revision 1.83 2003/06/10 13:39:11 lievre
	* empty log message *

	Revision 1.82 2003/06/05 15:57:20 brouard
	Add log in imach.c and fullversion number is now printed.

	*/
	/*
Interpolated Markov Chain	Interpolated Markov Chain

Short summary of the programme:	Short summary of the programme:
Line 32	Line 42
hPijx is the probability to be observed in state i at age x+h	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	conditional to the observed state i at age x. The delay 'h' can be
split into an exact number (nh*stepm) of unobserved intermediate	split into an exact number (nh*stepm) of unobserved intermediate
states. This elementary transition (by month or quarter trimester,	states. This elementary transition (by month, quarter,
semester or year) is model as a multinomial logistic. The hPx	semester or year) is modelled as a multinomial logistic. The hPx
matrix is simply the matrix product of nh*stepm elementary matrices	matrix is simply the matrix product of nh*stepm elementary matrices
and the contribution of each individual to the likelihood is simply	and the contribution of each individual to the likelihood is simply
hPijx.	hPijx.
Line 48	Line 58
It is copyrighted identically to a GNU software product, ie programme and	It is copyrighted identically to a GNU software product, ie programme and
software can be distributed freely for non commercial use. Latest version	software can be distributed freely for non commercial use. Latest version
can be accessed at http://euroreves.ined.fr/imach .	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
	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
	stable prevalence
	for age prevalim()
	h Pij x
	variance of p varprob
	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 stable prevalence
	end
	*/




#include <math.h>	#include <math.h>
#include <stdio.h>	#include <stdio.h>
Line 83	Line 129
#define ODIRSEPARATOR '\\'	#define ODIRSEPARATOR '\\'
#endif	#endif

char version[80]="Imach version 0.8k, July 2002, INED-EUROREVES ";	/* $Id$ */
	/* $State$ */

	char version[]="Imach version 0.95a1, June 2003, INED-EUROREVES ";
	char fullversion[]="$Revision$ $Date$";
int erreur; /* Error number */	int erreur; /* Error number */
int nvar;	int nvar;
int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov;	int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov;
Line 99 int jmin, jmax; /* min, max spacing betw	Line 149 int jmin, jmax; /* min, max spacing betw
int mle, weightopt;	int mle, weightopt;
int *mw; / mw[mi][i] is number of the mi wave for this individual */	int *mw; / mw[mi][i] is number of the mi wave for this individual */
int *dh; / dh[mi][i] is number of steps between mi,mi+1 for this individual */	int *dh; / dh[mi][i] is number of steps between mi,mi+1 for this individual */
	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; /* Mean space between 2 waves */	double jmean; /* Mean space between 2 waves */
double oldm, newm, *savm; / Working pointers to matrices */	double oldm, newm, *savm; / Working pointers to matrices */
double oldms, newms, *savms; / Fixed working pointers to matrices */	double oldms, newms, *savms; / Fixed working pointers to matrices */
FILE fic,ficpar, ficparo,ficres, ficrespl, ficrespij, ficrest,ficresf,*ficrespop;	FILE fic,ficpar, ficparo,ficres, ficrespl, ficrespij, ficrest,ficresf,*ficrespop;
FILE *ficlog;	FILE ficlog, ficrespow;
FILE ficgp,ficresprob,ficpop, ficresprobcov, *ficresprobcor;	FILE ficgp,ficresprob,ficpop, ficresprobcov, *ficresprobcor;
FILE *ficresprobmorprev;	FILE *ficresprobmorprev;
FILE fichtm; / Html File */	FILE fichtm; / Html File */
Line 177 double ftolhess; /* Tolerance for comput	Line 229 double ftolhess; /* Tolerance for comput
/************** split ***********************/	/************** split ***********************/
static int split( char path, char dirc, char name, char ext, char *finame )	static int split( char path, char dirc, char name, char ext, char *finame )
{	{
char s; / pointer */	char ss; / pointer */
int l1, l2; /* length counters */	int l1, l2; /* length counters */

l1 = strlen( path ); /* length of path */
if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH );
s= strrchr( path, DIRSEPARATOR ); /* find last / */
if ( s == NULL ) { /* no directory, so use current */
/*if(strrchr(path, ODIRSEPARATOR )==NULL)
printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/
#if defined(__bsd__) /* get current working directory */
extern char *getwd( );

if ( getwd( dirc ) == NULL ) {	l1 = strlen(path ); /* length of path */
#else	if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH );
extern char *getcwd( );	ss= strrchr( path, DIRSEPARATOR ); /* find last / */
	if ( ss == NULL ) { /* no directory, so use current */
if ( getcwd( dirc, FILENAME_MAX ) == NULL ) {	/*if(strrchr(path, ODIRSEPARATOR )==NULL)
#endif	printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/
return( GLOCK_ERROR_GETCWD );	/* get current working directory */
}	/* extern char* getcwd ( char buf , int len);/
strcpy( name, path ); /* we've got it */	if ( getcwd( dirc, FILENAME_MAX ) == NULL ) {
} else { /* strip direcotry from path */	return( GLOCK_ERROR_GETCWD );
s++; /* after this, the filename */	}
l2 = strlen( s ); /* length of filename */	strcpy( name, path ); /* we've got it */
if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH );	} else { /* strip direcotry from path */
strcpy( name, s ); /* save file name */	ss++; /* after this, the filename */
strncpy( dirc, path, l1 - l2 ); /* now the directory */	l2 = strlen( ss ); /* length of filename */
dirc[l1-l2] = 0; /* add zero */	if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH );
}	strcpy( name, ss ); /* save file name */
l1 = strlen( dirc ); /* length of directory */	strncpy( dirc, path, l1 - l2 ); /* now the directory */
	dirc[l1-l2] = 0; /* add zero */
	}
	l1 = strlen( dirc ); /* length of directory */
#ifdef windows	#ifdef windows
if ( dirc[l1-1] != '\\' ) { dirc[l1] = '\\'; dirc[l1+1] = 0; }	if ( dirc[l1-1] != '\\' ) { dirc[l1] = '\\'; dirc[l1+1] = 0; }
#else	#else
if ( dirc[l1-1] != '/' ) { dirc[l1] = '/'; dirc[l1+1] = 0; }	if ( dirc[l1-1] != '/' ) { dirc[l1] = '/'; dirc[l1+1] = 0; }
#endif	#endif
s = strrchr( name, '.' ); /* find last / */	ss = strrchr( name, '.' ); /* find last / */
s++;	ss++;
strcpy(ext,s); /* save extension */	strcpy(ext,ss); /* save extension */
l1= strlen( name);	l1= strlen( name);
l2= strlen( s)+1;	l2= strlen(ss)+1;
strncpy( finame, name, l1-l2);	strncpy( finame, name, l1-l2);
finame[l1-l2]= 0;	finame[l1-l2]= 0;
return( 0 ); /* we're done */	return( 0 ); /* we're done */
}	}


Line 277 void nrerror(char error_text[])	Line 323 void nrerror(char error_text[])
{	{
fprintf(stderr,"ERREUR ...\n");	fprintf(stderr,"ERREUR ...\n");
fprintf(stderr,"%s\n",error_text);	fprintf(stderr,"%s\n",error_text);
exit(1);	exit(EXIT_FAILURE);
}	}
/********************* vector *****************/	/********************* vector *****************/
double *vector(int nl, int nh)	double *vector(int nl, int nh)
Line 295 void free_vector(double*v, int nl, int n	Line 341 void free_vector(double*v, int nl, int n
}	}

/**********************ivector *****************************/	/**********************ivector *****************************/
	char *cvector(long nl,long nh)
	{
	char *v;
	v=(char ) malloc((size_t)((nh-nl+1+NR_END)sizeof(char)));
	if (!v) nrerror("allocation failure in cvector");
	return v-nl+NR_END;
	}

	/****************free ivector ************************/
	void free_cvector(char *v, long nl, long nh)
	{
	free((FREE_ARG)(v+nl-NR_END));
	}

	/**********************ivector *****************************/
int *ivector(long nl,long nh)	int *ivector(long nl,long nh)
{	{
int *v;	int *v;
Line 363 double **matrix(long nrl, long nrh, long	Line 424 double **matrix(long nrl, long nrh, long

for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;	for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
return m;	return m;
	/* print ((m+1)+70) ou print m[1][70]; print m+1 or print &(m[1])
	*/
}	}

/***********************free matrix **********************/	/***********************free matrix **********************/
Line 402 double ***ma3x(long nrl, long nrh, long	Line 465 double ***ma3x(long nrl, long nrh, long
for (j=ncl+1; j<=nch; j++)	for (j=ncl+1; j<=nch; j++)
m[i][j]=m[i][j-1]+nlay;	m[i][j]=m[i][j-1]+nlay;
}	}
return m;	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 **********************/	/***********************free ma3x **********************/
Line 610 void powell(double p[], double **xi, int	Line 676 void powell(double p[], double **xi, int
del=0.0;	del=0.0;
printf("\nPowell iter=%d -2LL=%.12f",iter,*fret);	printf("\nPowell iter=%d -2LL=%.12f",iter,*fret);
fprintf(ficlog,"\nPowell iter=%d -2LL=%.12f",iter,*fret);	fprintf(ficlog,"\nPowell iter=%d -2LL=%.12f",iter,*fret);
for (i=1;i<=n;i++)	fprintf(ficrespow,"%d %.12f",iter,fret);
	for (i=1;i<=n;i++) {
printf(" %d %.12f",i, p[i]);	printf(" %d %.12f",i, p[i]);
fprintf(ficlog," %d %.12f",i, p[i]);	fprintf(ficlog," %d %.12lf",i, p[i]);
	fprintf(ficrespow," %.12lf", p[i]);
	}
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
	fprintf(ficrespow,"\n");
for (i=1;i<=n;i++) {	for (i=1;i<=n;i++) {
for (j=1;j<=n;j++) xit[j]=xi[j][i];	for (j=1;j<=n;j++) xit[j]=xi[j][i];
fptt=(*fret);	fptt=(*fret);
Line 854 double matprod2(double out, double *	Line 924 double matprod2(double out, double *

double *hpxij(double po, int nhstepm, double age, int hstepm, double x, int nlstate, int stepm, double oldm, double savm, int ij )	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 'nhstepmhstepmstepm' month	/* Computes the transition matrix starting at age 'age' over
duration (i.e. until	'nhstepmhstepmstepm' months (i.e. until
age (in years) age+nhstepmstepm/12) by multiplying nhstepmhstepm matrices.	age (in years) age+nhstepmhstepmstepm/12) by multiplying
	nhstepm*hstepm matrices.
Output is stored in matrix po[i][j][h] for h every 'hstepm' step	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).	(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	Model is determined by parameters x and covariates have to be
included manually here.	included manually here.

Line 914 double func( double *x)	Line 986 double func( double *x)
double **out;	double **out;
double sw; /* Sum of weights */	double sw; /* Sum of weights */
double lli; /* Individual log likelihood */	double lli; /* Individual log likelihood */
	int s1, s2;
	double bbh, survp;
long ipmx;	long ipmx;
/extern weight /	/extern weight /
/* We are differentiating ll according to initial status */	/* We are differentiating ll according to initial status */
Line 924 double func( double *x)	Line 998 double func( double *x)
cov[1]=1.;	cov[1]=1.;

for(k=1; k<=nlstate; k++) ll[k]=0.;	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];	if(mle==1){
for(mi=1; mi<= wav[i]-1; mi++){	for (i=1,ipmx=0, sw=0.; i<=imx; i++){
for (ii=1;ii<=nlstate+ndeath;ii++)	for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
for (j=1;j<=nlstate+ndeath;j++) oldm[ii][j]=(ii==j ? 1.0 : 0.0);	for(mi=1; mi<= wav[i]-1; mi++){
for(d=0; d<dh[mi][i]; d++){	for (ii=1;ii<=nlstate+ndeath;ii++)
newm=savm;	for (j=1;j<=nlstate+ndeath;j++){
cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;	oldm[ii][j]=(ii==j ? 1.0 : 0.0);
for (kk=1; kk<=cptcovage;kk++) {	savm[ii][j]=(ii==j ? 1.0 : 0.0);
cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];	}
}	for(d=0; d<dh[mi][i]; d++){
	newm=savm;
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,	cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));	for (kk=1; kk<=cptcovage;kk++) {
savm=oldm;	cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
oldm=newm;	}
	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 and large stepm.
	* If stepm is larger than one month (smallest stepm) and if the exact delay
	* (in months) between two waves is not a multiple of stepm, we rounded to
	* the nearest (and in case of equal distance, to the lowest) interval but now
	* we keep into memory the bias bh[mi][i] and also the previous matrix product
	* (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the
	* probability in order to take into account the bias as a fraction of the way
	* from savm to out if bh is neagtive or even beyond if bh is positive. bh varies
	* -stepm/2 to stepm/2 .
	* For stepm=1 the results are the same as for previous versions of Imach.
	* For stepm > 1 the results are less biased than in previous versions.
	*/
	s1=s[mw[mi][i]][i];
	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.
	*/
	/* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)log(out[s1][s2])- bbhlog(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 the differences between probability to die before dh
	and 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{
	lli= log((1.+bbh)out[s1][s2]- bbhsavm[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])- bbhlog(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]] += 2weight[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 */

	/lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);/ /* Original formula */
	/* But now since version 0.9 we anticipate for bias and large stepm.
	* If stepm is larger than one month (smallest stepm) and if the exact delay
	* (in months) between two waves is not a multiple of stepm, we rounded to
	* the nearest (and in case of equal distance, to the lowest) interval but now
	* we keep into memory the bias bh[mi][i] and also the previous matrix product
	* (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the
	* probability in order to take into account the bias as a fraction of the way
	* from savm to out if bh is neagtive or even beyond if bh is positive. bh varies
	* -stepm/2 to stepm/2 .
	* For stepm=1 the results are the same as for previous versions of Imach.
	* For stepm > 1 the results are less biased than in previous versions.
	*/
	s1=s[mw[mi][i]][i];
	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.
	*/
	lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)out[s1][s2]- bbh(savm[s1][s2])):log((1.+bbh)out[s1][s2])); / linear interpolation */
	/* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]):log((1.+bbh)out[s1][s2]));/
	/lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]):log((1.-+bh)out[s1][s2])); / / exponential interpolation */
	/lli=(1.+bbh)log(out[s1][s2])- bbhlog(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]] += 2weight[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 */

	/lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);/ /* Original formula */
	/* But now since version 0.9 we anticipate for bias and large stepm.
	* If stepm is larger than one month (smallest stepm) and if the exact delay
	* (in months) between two waves is not a multiple of stepm, we rounded to
	* the nearest (and in case of equal distance, to the lowest) interval but now
	* we keep into memory the bias bh[mi][i] and also the previous matrix product
	* (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the
	* probability in order to take into account the bias as a fraction of the way
	* from savm to out if bh is neagtive or even beyond if bh is positive. bh varies
	* -stepm/2 to stepm/2 .
	* For stepm=1 the results are the same as for previous versions of Imach.
	* For stepm > 1 the results are less biased than in previous versions.
	*/
	s1=s[mw[mi][i]][i];
	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.
	*/
	/* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)out[s1][s2]- bbh(savm[s1][s2])):log((1.+bbh)out[s1][s2])); / /* linear interpolation */
	lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]):log((1.+bbh)out[s1][s2])); / exponential inter-extrapolation */
	/lli=(1.+bbh)log(out[s1][s2])- bbhlog(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]] += 2weight[i]lli;
	} /* end of wave */
	} /* end of individual */
	}else{ /* 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];
	}

} /* end mult */	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]]);	lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */
/* printf(" %f ",out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/	ipmx +=1;
ipmx +=1;	sw += weight[i];
sw += weight[i];	ll[s[mw[mi][i]][i]] += 2weight[i]lli;
ll[s[mw[mi][i]][i]] += 2weight[i]lli;	} /* end of wave */
} /* end of wave */	} /* end of individual */
} /* end of individual */	} /* End of if */

for(k=1,l=0.; k<=nlstate; k++) l += ll[k];	for(k=1,l=0.; k<=nlstate; k++) l += ll[k];
/* printf("l1=%f l2=%f ",ll[1],ll[2]); */	/* printf("l1=%f l2=%f ",ll[1],ll[2]); */
l= lipmx/sw; / To get the same order of magnitude as if weight=1 for every body */	l= lipmx/sw; / To get the same order of magnitude as if weight=1 for every body */
Line 964 double func( double *x)	Line 1218 double func( double *x)
void mlikeli(FILE ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (func)(double []))	void mlikeli(FILE ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (func)(double []))
{	{
int i,j, iter;	int i,j, iter;
double *xi,delti;	double **xi;
double fret;	double fret;
	char filerespow[FILENAMELENGTH];
xi=matrix(1,npar,1,npar);	xi=matrix(1,npar,1,npar);
for (i=1;i<=npar;i++)	for (i=1;i<=npar;i++)
for (j=1;j<=npar;j++)	for (j=1;j<=npar;j++)
xi[i][j]=(i==j ? 1.0 : 0.0);	xi[i][j]=(i==j ? 1.0 : 0.0);
printf("Powell\n"); fprintf(ficlog,"Powell\n");	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);	powell(p,xi,npar,ftol,&iter,&fret,func);

printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));	fclose(ficrespow);
fprintf(ficlog,"#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));	printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));
	fprintf(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));	fprintf(ficres,"#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));

}	}
Line 1237 void lubksb(double *a, int n, int indx	Line 1504 void lubksb(double *a, int n, int indx
}	}

/********** Frequencies ******************/	/********** Frequencies ******************/
void freqsummary(char fileres[], int agemin, int agemax, int s, double agev, int nlstate, int imx, int Tvar, int nbcode, int ncodemax,double mint,double anint, double dateprev1,double dateprev2,double jprev1, double mprev1,double anprev1,double jprev2, double mprev2,double anprev2)	void freqsummary(char fileres[], int iagemin, int iagemax, int s, double agev, int nlstate, int imx, int Tvaraff, int nbcode, int ncodemax,double mint,double anint, double dateprev1,double dateprev2,double jprev1, double mprev1,double anprev1,double jprev2, double mprev2,double anprev2)
{ /* Some frequencies */	{ /* Some frequencies */

int i, m, jk, k1,i1, j1, bool, z1,z2,j;	int i, m, jk, k1,i1, j1, bool, z1,z2,j;
int first;	int first;
double **freq; / Frequencies */	double **freq; / Frequencies */
double *pp;	double pp, *prop;
double pos, k2, dateintsum=0,k2cpt=0;	double pos,posprop, k2, dateintsum=0,k2cpt=0;
FILE *ficresp;	FILE *ficresp;
char fileresp[FILENAMELENGTH];	char fileresp[FILENAMELENGTH];

pp=vector(1,nlstate);	pp=vector(1,nlstate);
probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);	prop=matrix(1,nlstate,iagemin,iagemax+3);
strcpy(fileresp,"p");	strcpy(fileresp,"p");
strcat(fileresp,fileres);	strcat(fileresp,fileres);
if((ficresp=fopen(fileresp,"w"))==NULL) {	if((ficresp=fopen(fileresp,"w"))==NULL) {
Line 1257 void freqsummary(char fileres[], int ag	Line 1524 void freqsummary(char fileres[], int ag
fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);	fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);
exit(0);	exit(0);
}	}
freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3);	freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);
j1=0;	j1=0;

j=cptcoveff;	j=cptcoveff;
Line 1272 void freqsummary(char fileres[], int ag	Line 1539 void freqsummary(char fileres[], int ag
scanf("%d", i);*/	scanf("%d", i);*/
for (i=-1; i<=nlstate+ndeath; i++)	for (i=-1; i<=nlstate+ndeath; i++)
for (jk=-1; jk<=nlstate+ndeath; jk++)	for (jk=-1; jk<=nlstate+ndeath; jk++)
for(m=agemin; m <= agemax+3; m++)	for(m=iagemin; m <= iagemax+3; m++)
freq[i][jk][m]=0;	freq[i][jk][m]=0;

	for (i=1; i<=nlstate; i++)
	for(m=iagemin; m <= iagemax+3; m++)
	prop[i][m]=0;

dateintsum=0;	dateintsum=0;
k2cpt=0;	k2cpt=0;
Line 1288 void freqsummary(char fileres[], int ag	Line 1559 void freqsummary(char fileres[], int ag
for(m=firstpass; m<=lastpass; m++){	for(m=firstpass; m<=lastpass; m++){
k2=anint[m][i]+(mint[m][i]/12.);	k2=anint[m][i]+(mint[m][i]/12.);
if ((k2>=dateprev1) && (k2<=dateprev2)) {	if ((k2>=dateprev1) && (k2<=dateprev2)) {
if(agev[m][i]==0) agev[m][i]=agemax+1;	if(agev[m][i]==0) agev[m][i]=iagemax+1;
if(agev[m][i]==1) agev[m][i]=agemax+2;	if(agev[m][i]==1) agev[m][i]=iagemax+2;
	if (s[m][i]>0 && s[m][i]<=nlstate) prop[s[m][i]][(int)agev[m][i]] += weight[i];
if (m<lastpass) {	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)agev[m][i]] += weight[i];
freq[s[m][i]][s[m+1][i]][(int) agemax+3] += weight[i];	freq[s[m][i]][s[m+1][i]][iagemax+3] += weight[i];
}	}

if ((agev[m][i]>1) && (agev[m][i]< (agemax+3))) {	if ((agev[m][i]>1) && (agev[m][i]< (iagemax+3))) {
dateintsum=dateintsum+k2;	dateintsum=dateintsum+k2;
k2cpt++;	k2cpt++;
}	}
Line 1315 void freqsummary(char fileres[], int ag	Line 1587 void freqsummary(char fileres[], int ag
fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);	fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);
fprintf(ficresp, "\n");	fprintf(ficresp, "\n");

for(i=(int)agemin; i <= (int)agemax+3; i++){	for(i=iagemin; i <= iagemax+3; i++){
if(i==(int)agemax+3){	if(i==iagemax+3){
fprintf(ficlog,"Total");	fprintf(ficlog,"Total");
}else{	}else{
if(first==1){	if(first==1){
Line 1347 void freqsummary(char fileres[], int ag	Line 1619 void freqsummary(char fileres[], int ag
for(jk=1; jk <=nlstate ; jk++){	for(jk=1; jk <=nlstate ; jk++){
for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)	for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)
pp[jk] += freq[jk][m][i];	pp[jk] += freq[jk][m][i];
}	}
	for(jk=1,pos=0,posprop=0; jk <=nlstate ; jk++){
for(jk=1,pos=0; jk <=nlstate ; jk++)
pos += pp[jk];	pos += pp[jk];
	posprop += prop[jk][i];
	}
for(jk=1; jk <=nlstate ; jk++){	for(jk=1; jk <=nlstate ; jk++){
if(pos>=1.e-5){	if(pos>=1.e-5){
if(first==1)	if(first==1)
Line 1361 void freqsummary(char fileres[], int ag	Line 1634 void freqsummary(char fileres[], int ag
printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);	printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);	fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
}	}
if( i <= (int) agemax){	if( i <= iagemax){
if(pos>=1.e-5){	if(pos>=1.e-5){
fprintf(ficresp," %d %.5f %.0f %.0f",i,pp[jk]/pos, pp[jk],pos);	fprintf(ficresp," %d %.5f %.0f %.0f",i,prop[jk][i]/posprop, prop[jk][i],posprop);
probs[i][jk][j1]= pp[jk]/pos;	probs[i][jk][j1]= pp[jk]/pos;
/printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);/	/printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);/
}	}
else	else
fprintf(ficresp," %d NaNq %.0f %.0f",i,pp[jk],pos);	fprintf(ficresp," %d NaNq %.0f %.0f",i,prop[jk][i],posprop);
}	}
}	}

Line 1379 void freqsummary(char fileres[], int ag	Line 1652 void freqsummary(char fileres[], int ag
printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);	printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);
fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]);	fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]);
}	}
if(i <= (int) agemax)	if(i <= iagemax)
fprintf(ficresp,"\n");	fprintf(ficresp,"\n");
if(first==1)	if(first==1)
printf("Others in log...\n");	printf("Others in log...\n");
Line 1390 void freqsummary(char fileres[], int ag	Line 1663 void freqsummary(char fileres[], int ag
dateintmean=dateintsum/k2cpt;	dateintmean=dateintsum/k2cpt;

fclose(ficresp);	fclose(ficresp);
free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3);	free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);
free_vector(pp,1,nlstate);	free_vector(pp,1,nlstate);
	free_matrix(prop,1,nlstate,iagemin, iagemax+3);
/* End of Freq */	/* End of Freq */
}	}

/********** Prevalence ******************/	/********** 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)	void prevalence(double agemin, double agemax, int s, double agev, int nlstate, int imx, int Tvar, int nbcode, int ncodemax,double mint,double anint, double dateprev1,double dateprev2, int firstpass, int lastpass)
{ /* Some frequencies */	{
	/* 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,z2,j;	int i, m, jk, k1, i1, j1, bool, z1,z2,j;
double **freq; / Frequencies */	double **freq; / Frequencies */
double *pp;	double pp, *prop;
double pos, k2;	double pos,posprop;
	double y2; /* in fractional years */
pp=vector(1,nlstate);	int iagemin, iagemax;

freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3);	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;	j1=0;

j=cptcoveff;	j=cptcoveff;
Line 1417 void prevalence(int agemin, float agemax	Line 1698 void prevalence(int agemin, float agemax
for(i1=1; i1<=ncodemax[k1];i1++){	for(i1=1; i1<=ncodemax[k1];i1++){
j1++;	j1++;

for (i=-1; i<=nlstate+ndeath; i++)	for (i=1; i<=nlstate; i++)
for (jk=-1; jk<=nlstate+ndeath; jk++)	for(m=iagemin; m <= iagemax+3; m++)
for(m=agemin; m <= agemax+3; m++)	prop[i][m]=0.0;
freq[i][jk][m]=0;

for (i=1; i<=imx; i++) {	for (i=1; i<=imx; i++) { /* Each individual */
bool=1;	bool=1;
if (cptcovn>0) {	if (cptcovn>0) {
for (z1=1; z1<=cptcoveff; z1++)	for (z1=1; z1<=cptcoveff; z1++)
Line 1430 void prevalence(int agemin, float agemax	Line 1710 void prevalence(int agemin, float agemax
bool=0;	bool=0;
}	}
if (bool==1) {	if (bool==1) {
for(m=firstpass; m<=lastpass; m++){	for(m=firstpass; m<=lastpass; m++){/* Other selection (we can limit to certain interviews*/
k2=anint[m][i]+(mint[m][i]/12.);	y2=anint[m][i]+(mint[m][i]/12.); /* Fractional date in year */
if ((k2>=dateprev1) && (k2<=dateprev2)) {	if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */
if(agev[m][i]==0) agev[m][i]=agemax+1;	if(agev[m][i]==0) agev[m][i]=iagemax+1;
if(agev[m][i]==1) agev[m][i]=agemax+2;	if(agev[m][i]==1) agev[m][i]=iagemax+2;
if (m<lastpass) {	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 (calagedate>0)	if (s[m][i]>0 && s[m][i]<=nlstate) {
freq[s[m][i]][s[m+1][i]][(int)(agev[m][i]+1-((int)calagedate %12)/12.)] += weight[i];	/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]]);/
else	prop[s[m][i]][(int)agev[m][i]] += weight[i];
freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];	prop[s[m][i]][iagemax+3] += weight[i];
freq[s[m][i]][s[m+1][i]][(int)(agemax+3)] += weight[i];	}
}
}	}
}	} /* end selection of waves */
}	}
}	}
for(i=(int)agemin; i <= (int)agemax+3; i++){	for(i=iagemin; i <= iagemax+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(jk=1,posprop=0; jk <=nlstate ; jk++) {
for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)	posprop += prop[jk][i];
pp[jk] += freq[jk][m][i];	}
}
	for(jk=1; jk <=nlstate ; jk++){
for(jk=1,pos=0; jk <=nlstate ; jk++) pos += pp[jk];	if( i <= iagemax){
	if(posprop>=1.e-5){
for(jk=1; jk <=nlstate ; jk++){	probs[i][jk][j1]= prop[jk][i]/posprop;
if( i <= (int) agemax){	}
if(pos>=1.e-5){	}
probs[i][jk][j1]= pp[jk]/pos;	}/* end jk */
}	}/* end i */
}
}/* end jk */
}/* end i */
} /* end i1 */	} /* end i1 */
} /* end k1 */	} /* end k1 */


free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3);
free_vector(pp,1,nlstate);

} /* End of Freq */	/* 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 *************/	/*********** 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)	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.	/* Concatenates waves: wav[i] is the number of effective (useful waves) of individual i.
Death is a valid wave (if date is known).	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	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]	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.	and mw[mi+1][i]. dh depends on stepm.
*/	*/

Line 1522 void concatwav(int wav[], int **dh, int	Line 1789 void concatwav(int wav[], int **dh, int
wav[i]=mi;	wav[i]=mi;
if(mi==0){	if(mi==0){
if(first==0){	if(first==0){
printf("Warning, no any valid information for:%d line=%d and may be others, see log file\n",num[i],i);	printf("Warning! None valid information for:%d line=%d (skipped) and may be others, see log file\n",num[i],i);
first=1;	first=1;
}	}
if(first==1){	if(first==1){
fprintf(ficlog,"Warning, no any valid information for:%d line=%d\n",num[i],i);	fprintf(ficlog,"Warning! None valid information for:%d line=%d (skipped)\n",num[i],i);
}	}
} /* end mi==0 */	} /* end mi==0 */
}	} /* End individuals */

for(i=1; i<=imx; i++){	for(i=1; i<=imx; i++){
for(mi=1; mi<wav[i];mi++){	for(mi=1; mi<wav[i];mi++){
if (stepm <=0)	if (stepm <=0)
dh[mi][i]=1;	dh[mi][i]=1;
else{	else{
if (s[mw[mi+1][i]][i] > nlstate) {	if (s[mw[mi+1][i]][i] > nlstate) { /* A death */
if (agedc[i] < 2*AGESUP) {	if (agedc[i] < 2*AGESUP) {
j= rint(agedc[i]12-agev[mw[mi][i]][i]12);	j= rint(agedc[i]12-agev[mw[mi][i]][i]12);
if(j==0) j=1; /* Survives at least one month after exam */	if(j==0) j=1; /* Survives at least one month after exam */
Line 1544 void concatwav(int wav[], int **dh, int	Line 1811 void concatwav(int wav[], int **dh, int
if (j >= jmax) jmax=j;	if (j >= jmax) jmax=j;
if (j <= jmin) jmin=j;	if (j <= jmin) jmin=j;
sum=sum+j;	sum=sum+j;
/if (j<0) printf("j=%d num=%d \n",j,i); /	/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);*/
	if(j<0)printf("Error! Negative delay (%d to death) between waves %d and %d of individual %d at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
}	}
}	}
else{	else{
j= rint( (agev[mw[mi+1][i]][i]12 - agev[mw[mi][i]][i]12));	j= rint( (agev[mw[mi+1][i]][i]12 - agev[mw[mi][i]][i]12));
	/* printf("%d %d %d %d\n", s[mw[mi][i]][i] ,s[mw[mi+1][i]][i],j,i);*/
k=k+1;	k=k+1;
if (j >= jmax) jmax=j;	if (j >= jmax) jmax=j;
else if (j <= jmin)jmin=j;	else if (j <= jmin)jmin=j;
/* if (j<10) printf("j=%d jmin=%d num=%d ",j,jmin,i); */	/* if (j<10) printf("j=%d jmin=%d num=%d ",j,jmin,i); */
	/printf("%d %lf %d %d %d\n", i,agev[mw[mi][i]][i],j,s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);/
	if(j<0)printf("Error! Negative delay (%d) between waves %d and %d of individual %d at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
sum=sum+j;	sum=sum+j;
}	}
jk= j/stepm;	jk= j/stepm;
jl= j -jk*stepm;	jl= j -jk*stepm;
ju= j -(jk+1)*stepm;	ju= j -(jk+1)*stepm;
if(jl <= -ju)	if(mle <=1){
dh[mi][i]=jk;	if(jl==0){
else	dh[mi][i]=jk;
dh[mi][i]=jk+1;	bh[mi][i]=0;
if(dh[mi][i]==0)	}else{ /* We want a negative bias in order to only have interpolation ie
dh[mi][i]=1; /* At least one step */	* at 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;	jmean=sum/k;
printf("Delay (in months) between two waves Min=%d Max=%d Mean=%f\n\n ",jmin, jmax,jmean);	printf("Delay (in months) between two waves Min=%d Max=%d Mean=%f\n\n ",jmin, jmax,jmean);
Line 1646 void evsij(char fileres[], double ***eij	Line 1938 void evsij(char fileres[], double ***eij
double *gradg, *trgradg;	double *gradg, *trgradg;
int theta;	int theta;

varhe=ma3x(1,nlstate2,1,nlstate2,(int) bage, (int) fage);	varhe=ma3x(1,nlstatenlstate,1,nlstatenlstate,(int) bage, (int) fage);
xp=vector(1,npar);	xp=vector(1,npar);
dnewm=matrix(1,nlstate*2,1,npar);	dnewm=matrix(1,nlstate*nlstate,1,npar);
doldm=matrix(1,nlstate2,1,nlstate2);	doldm=matrix(1,nlstatenlstate,1,nlstatenlstate);

fprintf(ficreseij,"# Health expectancies\n");	fprintf(ficreseij,"# Health expectancies\n");
fprintf(ficreseij,"# Age");	fprintf(ficreseij,"# Age");
Line 1666 void evsij(char fileres[], double ***eij	Line 1958 void evsij(char fileres[], double ***eij
* This is mainly to measure the difference between two models: for example	* 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	* 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	* we are calculating an estimate of the Life Expectancy assuming a linear
* progression inbetween and thus overestimating or underestimating according	* progression in between and thus overestimating or underestimating according
* to the curvature of the survival function. If, for the same date, we	* 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	* 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	* to compare the new estimate of Life expectancy with the same linear
Line 1695 void evsij(char fileres[], double ***eij	Line 1987 void evsij(char fileres[], double ***eij
/* if (stepm >= YEARM) hstepm=1;*/	/* if (stepm >= YEARM) hstepm=1;*/
nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */	nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);	p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
gradg=ma3x(0,nhstepm,1,npar,1,nlstate*2);	gradg=ma3x(0,nhstepm,1,npar,1,nlstate*nlstate);
gp=matrix(0,nhstepm,1,nlstate*2);	gp=matrix(0,nhstepm,1,nlstate*nlstate);
gm=matrix(0,nhstepm,1,nlstate*2);	gm=matrix(0,nhstepm,1,nlstate*nlstate);

/* Computed by stepm unit matrices, product of hstepm matrices, stored	/* Computed by stepm unit matrices, product of hstepm matrices, stored
in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */	in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */
Line 1734 void evsij(char fileres[], double ***eij	Line 2026 void evsij(char fileres[], double ***eij
for(i=1;i<=nlstate;i++){	for(i=1;i<=nlstate;i++){
cptj=cptj+1;	cptj=cptj+1;
for(h=0, gm[h][cptj]=0.; h<=nhstepm-1; h++){	for(h=0, gm[h][cptj]=0.; h<=nhstepm-1; h++){

gm[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.;	gm[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.;
}	}
}	}
}	}
for(j=1; j<= nlstate*2; j++)	for(j=1; j<= nlstate*nlstate; j++)
for(h=0; h<=nhstepm-1; h++){	for(h=0; h<=nhstepm-1; h++){
gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];	gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
}	}
Line 1746 void evsij(char fileres[], double ***eij	Line 2039 void evsij(char fileres[], double ***eij

/* End theta */	/* End theta */

trgradg =ma3x(0,nhstepm,1,nlstate*2,1,npar);	trgradg =ma3x(0,nhstepm,1,nlstate*nlstate,1,npar);

for(h=0; h<=nhstepm-1; h++)	for(h=0; h<=nhstepm-1; h++)
for(j=1; j<=nlstate*2;j++)	for(j=1; j<=nlstate*nlstate;j++)
for(theta=1; theta <=npar; theta++)	for(theta=1; theta <=npar; theta++)
trgradg[h][j][theta]=gradg[h][theta][j];	trgradg[h][j][theta]=gradg[h][theta][j];


for(i=1;i<=nlstate*2;i++)	for(i=1;i<=nlstate*nlstate;i++)
for(j=1;j<=nlstate*2;j++)	for(j=1;j<=nlstate*nlstate;j++)
varhe[i][j][(int)age] =0.;	varhe[i][j][(int)age] =0.;

printf("%d\|",(int)age);fflush(stdout);	printf("%d\|",(int)age);fflush(stdout);
fprintf(ficlog,"%d\|",(int)age);fflush(ficlog);	fprintf(ficlog,"%d\|",(int)age);fflush(ficlog);
for(h=0;h<=nhstepm-1;h++){	for(h=0;h<=nhstepm-1;h++){
for(k=0;k<=nhstepm-1;k++){	for(k=0;k<=nhstepm-1;k++){
matprod2(dnewm,trgradg[h],1,nlstate*2,1,npar,1,npar,matcov);	matprod2(dnewm,trgradg[h],1,nlstate*nlstate,1,npar,1,npar,matcov);
matprod2(doldm,dnewm,1,nlstate2,1,npar,1,nlstate2,gradg[k]);	matprod2(doldm,dnewm,1,nlstatenlstate,1,npar,1,nlstatenlstate,gradg[k]);
for(i=1;i<=nlstate*2;i++)	for(i=1;i<=nlstate*nlstate;i++)
for(j=1;j<=nlstate*2;j++)	for(j=1;j<=nlstate*nlstate;j++)
varhe[i][j][(int)age] += doldm[i][j]hfhf;	varhe[i][j][(int)age] += doldm[i][j]hfhf;
}	}
}	}
Line 1788 void evsij(char fileres[], double ***eij	Line 2081 void evsij(char fileres[], double ***eij
}	}
fprintf(ficreseij,"\n");	fprintf(ficreseij,"\n");

free_matrix(gm,0,nhstepm,1,nlstate*2);	free_matrix(gm,0,nhstepm,1,nlstate*nlstate);
free_matrix(gp,0,nhstepm,1,nlstate*2);	free_matrix(gp,0,nhstepm,1,nlstate*nlstate);
free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate*2);	free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate*nlstate);
free_ma3x(trgradg,0,nhstepm,1,nlstate*2,1,npar);	free_ma3x(trgradg,0,nhstepm,1,nlstate*nlstate,1,npar);
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);	free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
}	}
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");

free_vector(xp,1,npar);	free_vector(xp,1,npar);
free_matrix(dnewm,1,nlstate*2,1,npar);	free_matrix(dnewm,1,nlstate*nlstate,1,npar);
free_matrix(doldm,1,nlstate2,1,nlstate2);	free_matrix(doldm,1,nlstatenlstate,1,nlstatenlstate);
free_ma3x(varhe,1,nlstate2,1,nlstate2,(int) bage, (int)fage);	free_ma3x(varhe,1,nlstatenlstate,1,nlstatenlstate,(int) bage, (int)fage);
}	}

/********** Variance ****************/	/********** Variance ****************/
Line 1856 void varevsij(char optionfilefiname[], d	Line 2149 void varevsij(char optionfilefiname[], d
}	}
printf("Computing total mortality p.j=w1p1j+w2p2j+..: result on file '%s' \n",fileresprobmorprev);	printf("Computing total mortality p.j=w1p1j+w2p2j+..: result on file '%s' \n",fileresprobmorprev);
fprintf(ficlog,"Computing total mortality p.j=w1p1j+w2p2j+..: result on file '%s' \n",fileresprobmorprev);	fprintf(ficlog,"Computing total mortality p.j=w1p1j+w2p2j+..: result on file '%s' \n",fileresprobmorprev);
fprintf(ficresprobmorprev,"# probabilities of dying during a year and weighted mean w1p1j+w2p2j+... stand dev in()\n");	fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1p1j+w2p2j+... stand dev in()\n",estepm);
fprintf(ficresprobmorprev,"# Age cov=%-d",ij);	fprintf(ficresprobmorprev,"# Age cov=%-d",ij);
for(j=nlstate+1; j<=(nlstate+ndeath);j++){	for(j=nlstate+1; j<=(nlstate+ndeath);j++){
fprintf(ficresprobmorprev," p.%-d SE",j);	fprintf(ficresprobmorprev," p.%-d SE",j);
Line 1878 void varevsij(char optionfilefiname[], d	Line 2171 void varevsij(char optionfilefiname[], d
exit(0);	exit(0);
}	}
else{	else{
fprintf(fichtm,"\n<li><h4> Computing probabilities of dying as a weighted average (i.e global mortality independent of initial healh state)</h4></li>\n");	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 (� revoir) <br>\n",digitp);	fprintf(fichtm,"\n<br>%s <br>\n",digitp);
}	}
varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);	varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);

Line 1913 void varevsij(char optionfilefiname[], d	Line 2206 void varevsij(char optionfilefiname[], d
and note for a fixed period like k years */	and note for a fixed period like k years */
/* We decided (b) to get a life expectancy respecting the most precise curvature of the	/* 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	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	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	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.	results. So we changed our mind and took the option of the best precision.
*/	*/
Line 1929 void varevsij(char optionfilefiname[], d	Line 2222 void varevsij(char optionfilefiname[], d


for(theta=1; theta <=npar; theta++){	for(theta=1; theta <=npar; theta++){
for(i=1; i<=npar; i++){ /* Computes gradient */	for(i=1; i<=npar; i++){ /* Computes gradient x + delta*/
xp[i] = x[i] + (i==theta ?delti[theta]:0);	xp[i] = x[i] + (i==theta ?delti[theta]:0);
}	}
hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);	hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
Line 1951 void varevsij(char optionfilefiname[], d	Line 2244 void varevsij(char optionfilefiname[], d
gp[h][j] += prlim[i][i]*p3mat[i][j][h];	gp[h][j] += prlim[i][i]*p3mat[i][j][h];
}	}
}	}
/* This for computing forces of mortality (h=1)as a weighted average */	/* This for computing probability of death (h=1 means
for(j=nlstate+1,gpp[j]=0.;j<=nlstate+ndeath;j++){	computed over hstepm matrices product = hstepm*stepm months)
for(i=1; i<= nlstate; i++)	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];	gpp[j] += prlim[i][i]*p3mat[i][j][1];
}	}
/* end force of mortality */	/* end probability of death */

for(i=1; i<=npar; i++) /* Computes gradient */	for(i=1; i<=npar; i++) /* Computes gradient x - delta */
xp[i] = x[i] - (i==theta ?delti[theta]:0);	xp[i] = x[i] - (i==theta ?delti[theta]:0);
hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);	hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);	prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
Line 1979 void varevsij(char optionfilefiname[], d	Line 2275 void varevsij(char optionfilefiname[], d
gm[h][j] += prlim[i][i]*p3mat[i][j][h];	gm[h][j] += prlim[i][i]*p3mat[i][j][h];
}	}
}	}
/* This for computing force of mortality (h=1)as a weighted average */	/* This for computing probability of death (h=1 means
for(j=nlstate+1,gmp[j]=0.;j<=nlstate+ndeath;j++){	computed over hstepm matrices product = hstepm*stepm months)
for(i=1; i<= nlstate; i++)	as a weighted average of prlim.
gmp[j] += prlim[i][i]*p3mat[i][j][1];	*/
	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 force of mortality */	/* end probability of death */

for(j=1; j<= nlstate; j++) /* vareij */	for(j=1; j<= nlstate; j++) /* vareij */
for(h=0; h<=nhstepm; h++){	for(h=0; h<=nhstepm; h++){
gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];	gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
}	}

for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu */	for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu */
gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta];	gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta];
}	}
Line 2006 void varevsij(char optionfilefiname[], d	Line 2306 void varevsij(char optionfilefiname[], d
for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */	for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */
for(theta=1; theta <=npar; theta++)	for(theta=1; theta <=npar; theta++)
trgradgp[j][theta]=gradgp[theta][j];	trgradgp[j][theta]=gradgp[theta][j];


hf=hstepmstepm/YEARM; / Duration of hstepm expressed in year unit. */	hf=hstepmstepm/YEARM; / Duration of hstepm expressed in year unit. */
for(i=1;i<=nlstate;i++)	for(i=1;i<=nlstate;i++)
Line 2021 void varevsij(char optionfilefiname[], d	Line 2322 void varevsij(char optionfilefiname[], d
vareij[i][j][(int)age] += doldm[i][j]hfhf;	vareij[i][j][(int)age] += doldm[i][j]hfhf;
}	}
}	}

/* pptj */	/* pptj */
matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov);	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);	matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp);
Line 2029 void varevsij(char optionfilefiname[], d	Line 2330 void varevsij(char optionfilefiname[], d
for(i=nlstate+1;i<=nlstate+ndeath;i++)	for(i=nlstate+1;i<=nlstate+ndeath;i++)
varppt[j][i]=doldmp[j][i];	varppt[j][i]=doldmp[j][i];
/* end ppptj */	/* end ppptj */
	/* x centered again */
hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);	hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);
prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ij);	prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ij);

Line 2041 void varevsij(char optionfilefiname[], d	Line 2343 void varevsij(char optionfilefiname[], d
prlim[i][i]=mobaverage[(int)age][i][ij];	prlim[i][i]=mobaverage[(int)age][i][ij];
}	}
}	}

/* This for computing force of mortality (h=1)as a weighted average */	/* This for computing probability of death (h=1 means
for(j=nlstate+1,gmp[j]=0.;j<=nlstate+ndeath;j++){	computed over hstepm (estepm) matrices product = hstepm*stepm months)
for(i=1; i<= nlstate; i++)	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];	gmp[j] += prlim[i][i]*p3mat[i][j][1];
}	}
/* end force of mortality */	/* end probability of death */

fprintf(ficresprobmorprev,"%3d %d ",(int) age, ij);	fprintf(ficresprobmorprev,"%3d %d ",(int) age, ij);
for(j=nlstate+1; j<=(nlstate+ndeath);j++){	for(j=nlstate+1; j<=(nlstate+ndeath);j++){
Line 2077 void varevsij(char optionfilefiname[], d	Line 2382 void varevsij(char optionfilefiname[], d
fprintf(ficgp,"\nset noparametric;set nolabel; set ter png small;set size 0.65, 0.65");	fprintf(ficgp,"\nset noparametric;set nolabel; set ter png small;set size 0.65, 0.65");
/* for(j=nlstate+1; j<= nlstate+ndeath; j++){ // Only the first actually */	/* for(j=nlstate+1; j<= nlstate+ndeath; j++){ // Only the first actually */
fprintf(ficgp,"\n set log y; set nolog x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");	fprintf(ficgp,"\n set log y; set nolog x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");
fprintf(ficgp,"\n plot \"%s\" u 1:($3*%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm);	/* fprintf(ficgp,"\n plot \"%s\" u 1:($3%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); /
fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96$4)%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm);	/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96$4)%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */
fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96$4)%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm);	/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96$4)%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */
	fprintf(ficgp,"\n plot \"%s\" u 1:($3) not w l 1 ",fileresprobmorprev);
	fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95\%% interval\" w l 2 ",fileresprobmorprev);
	fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l 2 ",fileresprobmorprev);
fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",fileresprobmorprev,fileresprobmorprev);	fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",fileresprobmorprev,fileresprobmorprev);
fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,digitp,digit);	fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"varmuptjgr%s%s%s.png\"> <br>\n", estepm,digitp,optionfilefiname,digit);
/* fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,YEARM,digitp,digit);	/* fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,YEARM,digitp,digit);
*/	*/
fprintf(ficgp,"\nset out \"varmuptjgr%s%s.png\";replot;",digitp,digit);	fprintf(ficgp,"\nset out \"varmuptjgr%s%s%s.png\";replot;",digitp,optionfilefiname,digit);

free_vector(xp,1,npar);	free_vector(xp,1,npar);
free_matrix(doldm,1,nlstate,1,nlstate);	free_matrix(doldm,1,nlstate,1,nlstate);
Line 2096 void varevsij(char optionfilefiname[], d	Line 2404 void varevsij(char optionfilefiname[], d
fclose(ficresprobmorprev);	fclose(ficresprobmorprev);
fclose(ficgp);	fclose(ficgp);
fclose(fichtm);	fclose(fichtm);
}	}

/********** Variance of prevlim ****************/	/********** Variance of prevlim ****************/
void varprevlim(char fileres[], double varpl, double matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double oldm, double savm, double **prlim, double ftolpl, int ij)	void varprevlim(char fileres[], double varpl, double matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double oldm, double savm, double **prlim, double ftolpl, int ij)
{	{
/* Variance of prevalence limit */	/* Variance of prevalence limit */
/* double prevalim(double prlim, int nlstate, double xp, double age, double oldm, double * savm,double ftolpl);*/	/* double prevalim(double prlim, int nlstate, double xp, double age, double oldm, double savm,double ftolpl);/
double **newm;	double **newm;
double dnewm,doldm;	double dnewm,doldm;
int i, j, nhstepm, hstepm;	int i, j, nhstepm, hstepm;
Line 2242 void varprob(char optionfilefiname[], do	Line 2550 void varprob(char optionfilefiname[], do
fprintf(ficresprobcov," p%1d-%1d ",i,j);	fprintf(ficresprobcov," p%1d-%1d ",i,j);
fprintf(ficresprobcor," p%1d-%1d ",i,j);	fprintf(ficresprobcor," p%1d-%1d ",i,j);
}	}
fprintf(ficresprob,"\n");	/* fprintf(ficresprob,"\n");
fprintf(ficresprobcov,"\n");	fprintf(ficresprobcov,"\n");
fprintf(ficresprobcor,"\n");	fprintf(ficresprobcor,"\n");
xp=vector(1,npar);	*/
	xp=vector(1,npar);
dnewm=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);	dnewm=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
doldm=matrix(1,(nlstate)(nlstate+ndeath),1,(nlstate)(nlstate+ndeath));	doldm=matrix(1,(nlstate)(nlstate+ndeath),1,(nlstate)(nlstate+ndeath));
mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage);	mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage);
Line 2274 void varprob(char optionfilefiname[], do	Line 2583 void varprob(char optionfilefiname[], do

}	}


cov[1]=1;	cov[1]=1;
tj=cptcoveff;	tj=cptcoveff;
if (cptcovn<1) {tj=1;ncodemax[1]=1;}	if (cptcovn<1) {tj=1;ncodemax[1]=1;}
Line 2282 void varprob(char optionfilefiname[], do	Line 2590 void varprob(char optionfilefiname[], do
for(t=1; t<=tj;t++){	for(t=1; t<=tj;t++){
for(i1=1; i1<=ncodemax[t];i1++){	for(i1=1; i1<=ncodemax[t];i1++){
j1++;	j1++;

if (cptcovn>0) {	if (cptcovn>0) {
fprintf(ficresprob, "\n#********** Variable ");	fprintf(ficresprob, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
fprintf(ficresprob, "**********\n#");	fprintf(ficresprob, "**********\n#\n");
fprintf(ficresprobcov, "\n#********** Variable ");	fprintf(ficresprobcov, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
fprintf(ficresprobcov, "**********\n#");	fprintf(ficresprobcov, "**********\n#\n");

fprintf(ficgp, "\n#********** Variable ");	fprintf(ficgp, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, "# V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficgp, " V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
fprintf(ficgp, "**********\n#");	fprintf(ficgp, "**********\n#\n");


fprintf(fichtm, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable ");	fprintf(fichtm, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable ");
Line 2302 void varprob(char optionfilefiname[], do	Line 2609 void varprob(char optionfilefiname[], do

fprintf(ficresprobcor, "\n#********** Variable ");	fprintf(ficresprobcor, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcor, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
fprintf(ficgp, "**********\n#");	fprintf(ficresprobcor, "**********\n#");
}	}

for (age=bage; age<=fage; age ++){	for (age=bage; age<=fage; age ++){
Line 2321 void varprob(char optionfilefiname[], do	Line 2628 void varprob(char optionfilefiname[], do

for(theta=1; theta <=npar; theta++){	for(theta=1; theta <=npar; theta++){
for(i=1; i<=npar; i++)	for(i=1; i<=npar; i++)
xp[i] = x[i] + (i==theta ?delti[theta]:0);	xp[i] = x[i] + (i==theta ?delti[theta]:(double)0);

pmij(pmmij,cov,ncovmodel,xp,nlstate);	pmij(pmmij,cov,ncovmodel,xp,nlstate);

Line 2334 void varprob(char optionfilefiname[], do	Line 2641 void varprob(char optionfilefiname[], do
}	}

for(i=1; i<=npar; i++)	for(i=1; i<=npar; i++)
xp[i] = x[i] - (i==theta ?delti[theta]:0);	xp[i] = x[i] - (i==theta ?delti[theta]:(double)0);

pmij(pmmij,cov,ncovmodel,xp,nlstate);	pmij(pmmij,cov,ncovmodel,xp,nlstate);
k=0;	k=0;
Line 2346 void varprob(char optionfilefiname[], do	Line 2653 void varprob(char optionfilefiname[], do
}	}

for(i=1; i<= (nlstate)*(nlstate+ndeath); i++)	for(i=1; i<= (nlstate)*(nlstate+ndeath); i++)
gradg[theta][i]=(gp[i]-gm[i])/2./delti[theta];	gradg[theta][i]=(gp[i]-gm[i])/(double)2./delti[theta];
}	}

for(j=1; j<=(nlstate)*(nlstate+ndeath);j++)	for(j=1; j<=(nlstate)*(nlstate+ndeath);j++)
Line 2355 void varprob(char optionfilefiname[], do	Line 2662 void varprob(char optionfilefiname[], do

matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov);	matprod2(dnewm,trgradg,1,(nlstate)*(nlstate+ndeath),1,npar,1,npar,matcov);
matprod2(doldm,dnewm,1,(nlstate)(nlstate+ndeath),1,npar,1,(nlstate)(nlstate+ndeath),gradg);	matprod2(doldm,dnewm,1,(nlstate)(nlstate+ndeath),1,npar,1,(nlstate)(nlstate+ndeath),gradg);
	free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath));
	free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath));
	free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
	free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);

pmij(pmmij,cov,ncovmodel,x,nlstate);	pmij(pmmij,cov,ncovmodel,x,nlstate);

k=0;	k=0;
Line 2370 void varprob(char optionfilefiname[], do	Line 2681 void varprob(char optionfilefiname[], do
varpij[i][j][(int)age] = doldm[i][j];	varpij[i][j][(int)age] = doldm[i][j];

/*printf("\n%d ",(int)age);	/*printf("\n%d ",(int)age);
for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){	for (i=1; i<=(nlstate)*(nlstate+ndeath);i++){
printf("%e [%e ;%e] ",gm[i],gm[i]-2sqrt(doldm[i][i]),gm[i]+2sqrt(doldm[i][i]));	printf("%e [%e ;%e] ",gm[i],gm[i]-2sqrt(doldm[i][i]),gm[i]+2sqrt(doldm[i][i]));
fprintf(ficlog,"%e [%e ;%e] ",gm[i],gm[i]-2sqrt(doldm[i][i]),gm[i]+2sqrt(doldm[i][i]));	fprintf(ficlog,"%e [%e ;%e] ",gm[i],gm[i]-2sqrt(doldm[i][i]),gm[i]+2sqrt(doldm[i][i]));
}*/	}*/

fprintf(ficresprob,"\n%d ",(int)age);	fprintf(ficresprob,"\n%d ",(int)age);
fprintf(ficresprobcov,"\n%d ",(int)age);	fprintf(ficresprobcov,"\n%d ",(int)age);
Line 2401 void varprob(char optionfilefiname[], do	Line 2712 void varprob(char optionfilefiname[], do

/* Confidence intervalle of pij */	/* Confidence intervalle of pij */
/*	/*
fprintf(ficgp,"\nset noparametric;unset label");	fprintf(ficgp,"\nset noparametric;unset label");
fprintf(ficgp,"\nset log y;unset log x; set xlabel \"Age\";set ylabel \"probability (year-1)\"");	fprintf(ficgp,"\nset 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(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>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(fichtm,"\n<br><img src=\"pijgr%s.png\"> ",optionfilefiname);
fprintf(ficgp,"\nset out \"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);	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)*/	/* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/
Line 2479 void varprob(char optionfilefiname[], do	Line 2790 void varprob(char optionfilefiname[], do
} /l1 /	} /l1 /
}/* k1 */	}/* k1 */
} /* loop covariates */	} /* loop covariates */
free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);
free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath));
free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath));
free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);
free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
}	}
	free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);
	free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);
free_vector(xp,1,npar);	free_vector(xp,1,npar);
fclose(ficresprob);	fclose(ficresprob);
fclose(ficresprobcov);	fclose(ficresprobcov);
Line 2533 fprintf(fichtm," \n<ul><li><b>Graphs</b>	Line 2840 fprintf(fichtm," \n<ul><li><b>Graphs</b>
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");	fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
}	}
/* Pij */	/* Pij */
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before: pe%s%d1.png<br>	fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: pe%s%d1.png<br>
<img src=\"pe%s%d1.png\">",stepm,strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1);	<img src=\"pe%s%d1.png\">",stepm,strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1);
/* Quasi-incidences */	/* Quasi-incidences */
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: pe%s%d2.png<br>	fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: pe%s%d2.png<br>
Line 2564 health expectancies in states (1) and (2	Line 2871 health expectancies in states (1) and (2
- Health expectancies with their variances (no covariance): <a href=\"t%s\">t%s</a> <br>\n	- Health expectancies with their variances (no covariance): <a href=\"t%s\">t%s</a> <br>\n
- Standard deviation of stable prevalences: <a href=\"vpl%s\">vpl%s</a> <br>\n",rfileres,rfileres,fileres,fileres,fileres,fileres,fileres,fileres, estepm, fileres,fileres,fileres,fileres,fileres,fileres);	- Standard deviation of stable prevalences: <a href=\"vpl%s\">vpl%s</a> <br>\n",rfileres,rfileres,fileres,fileres,fileres,fileres,fileres,fileres, estepm, fileres,fileres,fileres,fileres,fileres,fileres);

if(popforecast==1) fprintf(fichtm,"\n	/* if(popforecast==1) fprintf(fichtm,"\n */
- Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n	/* - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n */
- Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n	/* - Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n */
<br>",fileres,fileres,fileres,fileres);	/* <br>",fileres,fileres,fileres,fileres); */
else	/* else */
fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model);	/* fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */
fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");	fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");

m=cptcoveff;	m=cptcoveff;
Line 2586 fprintf(fichtm," <ul><li><b>Graphs</b></	Line 2893 fprintf(fichtm," <ul><li><b>Graphs</b></
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");	fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
}	}
for(cpt=1; cpt<=nlstate;cpt++) {	for(cpt=1; cpt<=nlstate;cpt++) {
fprintf(fichtm,"<br>- Observed and stationary prevalence (with confident	fprintf(fichtm,"<br>- Observed and period prevalence (with confident
interval) in state (%d): v%s%d%d.png <br>	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);	<img src=\"v%s%d%d.png\">",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1);
}	}
Line 2621 m=pow(2,cptcoveff);	Line 2928 m=pow(2,cptcoveff);
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");	if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," \%%lf (\%%lf)");
}	}
fprintf(ficgp,"\" t\"Stable prevalence\" w l 0,\"vpl%s\" every :::%d::%d u 1:($2+2*$3) \"\%%lf",fileres,k1-1,k1-1);	fprintf(ficgp,"\" t\"Stable prevalence\" w l 0,\"vpl%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",fileres,k1-1,k1-1);
for (i=1; i<= nlstate ; i ++) {	for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");	if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," \%%lf (\%%lf)");
}	}
fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"vpl%s\" every :::%d::%d u 1:($2-2*$3) \"\%%lf",fileres,k1-1,k1-1);	fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"vpl%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",fileres,k1-1,k1-1);
for (i=1; i<= nlstate ; i ++) {	for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");	if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," \%%lf (\%%lf)");
Line 2687 m=pow(2,cptcoveff);	Line 2994 m=pow(2,cptcoveff);
}	}
}	}

/* CV preval stat */	/* CV preval stable (period) */
for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) {
for (cpt=1; cpt<nlstate ; cpt ++) {	for (cpt=1; cpt<=nlstate ; cpt ++) {
k=3;	k=3;
fprintf(ficgp,"\nset out \"p%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);	fprintf(ficgp,"\nset out \"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);	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);
Line 2817 int movingaverage(double ***probs, doubl	Line 3124 int movingaverage(double ***probs, doubl


/************ Forecasting ****************/	/************ 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){	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
int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;	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;	int *popage;
double calagedate, agelim, kk1, kk2, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;	double agec; /* generic age */
	double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;
double popeffectif,popcount;	double popeffectif,popcount;
double ***p3mat;	double ***p3mat;
double ***mobaverage;	double ***mobaverage;
char fileresf[FILENAMELENGTH];	char fileresf[FILENAMELENGTH];

agelim=AGESUP;	agelim=AGESUP;
calagedate=(anproj1+mproj1/12.+jproj1/365.-dateintmean)*YEARM;	prevalence(ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);

prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate);


strcpy(fileresf,"f");	strcpy(fileresf,"f");
strcat(fileresf,fileres);	strcat(fileresf,fileres);
Line 2854 prevforecast(char fileres[], double anpr	Line 3163 prevforecast(char fileres[], double anpr

stepsize=(int) (stepm+YEARM-1)/YEARM;	stepsize=(int) (stepm+YEARM-1)/YEARM;
if (stepm<=12) stepsize=1;	if (stepm<=12) stepsize=1;
	if(estepm < stepm){
agelim=AGESUP;	printf ("Problem %d lower than %d\n",estepm, stepm);
	}
hstepm=1;	else hstepm=estepm;

hstepm=hstepm/stepm;	hstepm=hstepm/stepm;
yp1=modf(dateintmean,&yp);	yp1=modf(dateintmean,&yp);/* extracts integral of datemean in yp and
	fractional in yp1 */
anprojmean=yp;	anprojmean=yp;
yp2=modf((yp1*12),&yp);	yp2=modf((yp1*12),&yp);
mprojmean=yp;	mprojmean=yp;
Line 2867 prevforecast(char fileres[], double anpr	Line 3178 prevforecast(char fileres[], double anpr
jprojmean=yp;	jprojmean=yp;
if(jprojmean==0) jprojmean=1;	if(jprojmean==0) jprojmean=1;
if(mprojmean==0) jprojmean=1;	if(mprojmean==0) jprojmean=1;

	i1=cptcoveff;
	if (cptcovn < 1){i1=1;}

fprintf(ficresf,"# Estimated date of observed prevalence: %.lf/%.lf/%.lf ",jprojmean,mprojmean,anprojmean);	fprintf(ficresf,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2);

for(cptcov=1;cptcov<=i2;cptcov++){	fprintf(ficresf,"#**** Routine prevforecast \n");

	/* if (h==(int)(YEARMyearp)){ /
	for(cptcov=1, k=0;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){	for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
k=k+1;	k=k+1;
fprintf(ficresf,"\n#******");	fprintf(ficresf,"\n#******");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcoveff;j++) {
fprintf(ficresf," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][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,"******\n");
fprintf(ficresf,"# StartingAge FinalAge");	fprintf(ficresf,"# Covariate valuofcovar yearproj age");
for(j=1; j<=nlstate+ndeath;j++) fprintf(ficresf," P.%d",j);	for(j=1; j<=nlstate+ndeath;j++){
	for(i=1; i<=nlstate;i++)
	fprintf(ficresf," p%d%d",i,j);
for (cpt=0; cpt<=(anproj2-anproj1);cpt++) {	fprintf(ficresf," p.%d",j);
	}
	for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) {
fprintf(ficresf,"\n");	fprintf(ficresf,"\n");
fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+cpt);	fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp);

for (agedeb=(fage-((int)calagedate %12/12.)); agedeb>=(ageminpar-((int)calagedate %12)/12.); agedeb--){	for (agec=fage; agec>=(ageminpar-1); agec--){
nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm);	nhstepm=(int) rint((agelim-agec)*YEARM/stepm);
nhstepm = nhstepm/hstepm;	nhstepm = nhstepm/hstepm;

p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);	p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
oldm=oldms;savm=savms;	oldm=oldms;savm=savms;
hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);	hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k);

for (h=0; h<=nhstepm; h++){	for (h=0; h<=nhstepm; h++){
if (h==(int) (calagedate+YEARM*cpt)) {	if (hhstepm/YEARMstepm ==yearp) {
fprintf(ficresf,"\n %.f %.f ",anproj1+cpt,agedeb+hhstepm/YEARMstepm);	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+hhstepm/YEARMstepm);
}	}
for(j=1; j<=nlstate+ndeath;j++) {	for(j=1; j<=nlstate+ndeath;j++) {
kk1=0.;kk2=0;	ppij=0.;
for(i=1; i<=nlstate;i++) {	for(i=1; i<=nlstate;i++) {
if (mobilav==1)	if (mobilav==1)
kk1=kk1+p3mat[i][j][h]*mobaverage[(int)agedeb+1][i][cptcod];	ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][cptcod];
else {	else {
kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod];	ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][cptcod];
}	}
	if (hhstepm/YEARMstepm== yearp) {
}	fprintf(ficresf," %.3f", p3mat[i][j][h]);
if (h==(int)(calagedate+12*cpt)){	}
fprintf(ficresf," %.3f", kk1);	} /* end i */
	if (hhstepm/YEARMstepm==yearp) {
	fprintf(ficresf," %.3f", ppij);
}	}
}	}/* end j */
}	} /* end h */
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);	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);	if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);

fclose(ficresf);	fclose(ficresf);
}	}
/************ Forecasting ****************/
	/************ 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){	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 cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;
int *popage;	int *popage;
double calagedate, agelim, kk1, kk2, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;	double calagedatem, agelim, kk1, kk2;
double popeffectif,popcount;	double popeffectif,popcount;
double *p3mat,tabpop,**tabpopprev;	double *p3mat,tabpop,**tabpopprev;
double ***mobaverage;	double ***mobaverage;
Line 2938 populforecast(char fileres[], double anp	Line 3261 populforecast(char fileres[], double anp
tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
tabpopprev= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	tabpopprev= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
agelim=AGESUP;	agelim=AGESUP;
calagedate=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM;	calagedatem=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM;

prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate);	prevalence(ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);


strcpy(filerespop,"pop");	strcpy(filerespop,"pop");
Line 2986 populforecast(char fileres[], double anp	Line 3309 populforecast(char fileres[], double anp
for (i=1; i<imx;i++) popeffectif[popage[i]]=popcount[i];	for (i=1; i<imx;i++) popeffectif[popage[i]]=popcount[i];
}	}

for(cptcov=1;cptcov<=i2;cptcov++){	for(cptcov=1,k=0;cptcov<=i2;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){	for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
k=k+1;	k=k+1;
fprintf(ficrespop,"\n#******");	fprintf(ficrespop,"\n#******");
Line 3001 populforecast(char fileres[], double anp	Line 3324 populforecast(char fileres[], double anp
for (cpt=0; cpt<=0;cpt++) {	for (cpt=0; cpt<=0;cpt++) {
fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,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--){	for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){
nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm);	nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm);
nhstepm = nhstepm/hstepm;	nhstepm = nhstepm/hstepm;

Line 3010 populforecast(char fileres[], double anp	Line 3333 populforecast(char fileres[], double anp
hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);	hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);

for (h=0; h<=nhstepm; h++){	for (h=0; h<=nhstepm; h++){
if (h==(int) (calagedate+YEARM*cpt)) {	if (h==(int) (calagedatem+YEARM*cpt)) {
fprintf(ficrespop,"\n %3.f ",agedeb+hhstepm/YEARMstepm);	fprintf(ficrespop,"\n %3.f ",agedeb+hhstepm/YEARMstepm);
}	}
for(j=1; j<=nlstate+ndeath;j++) {	for(j=1; j<=nlstate+ndeath;j++) {
Line 3022 populforecast(char fileres[], double anp	Line 3345 populforecast(char fileres[], double anp
kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod];	kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod];
}	}
}	}
if (h==(int)(calagedate+12*cpt)){	if (h==(int)(calagedatem+12*cpt)){
tabpop[(int)(agedeb)][j][cptcod]=kk1;	tabpop[(int)(agedeb)][j][cptcod]=kk1;
/*fprintf(ficrespop," %.3f", kk1);	/*fprintf(ficrespop," %.3f", kk1);
if (popforecast==1) fprintf(ficrespop," [%.f]", kk1popeffectif[(int)agedeb+1]);/	if (popforecast==1) fprintf(ficrespop," [%.f]", kk1popeffectif[(int)agedeb+1]);/
Line 3033 populforecast(char fileres[], double anp	Line 3356 populforecast(char fileres[], double anp
for(j=1; j<=nlstate;j++){	for(j=1; j<=nlstate;j++){
kk1= kk1+tabpop[(int)(agedeb)][j][cptcod];	kk1= kk1+tabpop[(int)(agedeb)][j][cptcod];
}	}
tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1popeffectif[(int)(agedeb+(calagedate+12cpt)hstepm/YEARMstepm-1)];	tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1popeffectif[(int)(agedeb+(calagedatem+12cpt)hstepm/YEARMstepm-1)];
}	}

if (h==(int)(calagedate+12*cpt)) for(j=1; j<=nlstate;j++)	if (h==(int)(calagedatem+12*cpt)) for(j=1; j<=nlstate;j++)
fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]);	fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]);
}	}
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);	free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
Line 3047 populforecast(char fileres[], double anp	Line 3370 populforecast(char fileres[], double anp

for (cpt=1; cpt<=(anpyram1-anpyram);cpt++) {	for (cpt=1; cpt<=(anpyram1-anpyram);cpt++) {
fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,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--){	for (agedeb=(fage-((int)calagedatem %12/12.)); agedeb>=(ageminpar-((int)calagedatem %12)/12.); agedeb--){
nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm);	nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm);
nhstepm = nhstepm/hstepm;	nhstepm = nhstepm/hstepm;

Line 3055 populforecast(char fileres[], double anp	Line 3378 populforecast(char fileres[], double anp
oldm=oldms;savm=savms;	oldm=oldms;savm=savms;
hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);	hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);
for (h=0; h<=nhstepm; h++){	for (h=0; h<=nhstepm; h++){
if (h==(int) (calagedate+YEARM*cpt)) {	if (h==(int) (calagedatem+YEARM*cpt)) {
fprintf(ficresf,"\n %3.f ",agedeb+hhstepm/YEARMstepm);	fprintf(ficresf,"\n %3.f ",agedeb+hhstepm/YEARMstepm);
}	}
for(j=1; j<=nlstate+ndeath;j++) {	for(j=1; j<=nlstate+ndeath;j++) {
Line 3063 populforecast(char fileres[], double anp	Line 3386 populforecast(char fileres[], double anp
for(i=1; i<=nlstate;i++) {	for(i=1; i<=nlstate;i++) {
kk1=kk1+p3mat[i][j][h]*tabpopprev[(int)agedeb+1][i][cptcod];	kk1=kk1+p3mat[i][j][h]*tabpopprev[(int)agedeb+1][i][cptcod];
}	}
if (h==(int)(calagedate+12*cpt)) fprintf(ficresf," %15.2f", kk1);	if (h==(int)(calagedatem+12*cpt)) fprintf(ficresf," %15.2f", kk1);
}	}
}	}
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);	free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
Line 3090 populforecast(char fileres[], double anp	Line 3413 populforecast(char fileres[], double anp

int main(int argc, char *argv[])	int main(int argc, char *argv[])
{	{
	int movingaverage(double *probs, double bage,double fage, double *mobaverage, int mobilav);
int i,j, k, n=MAXN,iter,m,size,cptcode, cptcod;	int i,j, k, n=MAXN,iter,m,size=100,cptcode, cptcod;
double agedeb, agefin,hf;	double agedeb, agefin,hf;
double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20;	double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20;

Line 3109 int main(int argc, char *argv[])	Line 3432 int main(int argc, char *argv[])
int c, h , cpt,l;	int c, h , cpt,l;
int ju,jl, mi;	int ju,jl, mi;
int i1,j1, k1,k2,k3,jk,aa,bb, stepsize, ij;	int i1,j1, k1,k2,k3,jk,aa,bb, stepsize, ij;
int jnais,jdc,jint4,jint1,jint2,jint3,outcome,adl,*tab;	int jnais,jdc,jint4,jint1,jint2,jint3,*outcome,tab;
	int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */
int mobilav=0,popforecast=0;	int mobilav=0,popforecast=0;
int hstepm, nhstepm;	int hstepm, nhstepm;
double jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,jpyram, mpyram,anpyram,jpyram1, mpyram1,anpyram1, calagedate;	double 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 bage, fage, age, agelim, agebase;
double ftolpl=FTOL;	double ftolpl=FTOL;
Line 3127 int main(int argc, char *argv[])	Line 3452 int main(int argc, char *argv[])
double *varpl; / Variances of prevalence limits by age */	double *varpl; / Variances of prevalence limits by age */
double *epj, vepp;	double *epj, vepp;
double kk1, kk2;	double kk1, kk2;
double dateprev1, dateprev2,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2;	double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;


char *alph[]={"a","a","b","c","d","e"}, str[4];	char *alph[]={"a","a","b","c","d","e"}, str[4];

Line 3139 int main(int argc, char *argv[])	Line 3463 int main(int argc, char *argv[])
char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];	char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];

/* long total_usecs;	/* long total_usecs;
struct timeval start_time, end_time;	struct timeval start_time, end_time;

gettimeofday(&start_time, (struct timezone)0); / /* at first time */	gettimeofday(&start_time, (struct timezone)0); / /* at first time */
getcwd(pathcd, size);	getcwd(pathcd, size);

printf("\n%s",version);	printf("\n%s\n%s",version,fullversion);
if(argc <=1){	if(argc <=1){
printf("\nEnter the parameter file name: ");	printf("\nEnter the parameter file name: ");
scanf("%s",pathtot);	scanf("%s",pathtot);
Line 3158 int main(int argc, char *argv[])	Line 3482 int main(int argc, char *argv[])
/* cutv(path,optionfile,pathtot,'\\');*/	/* cutv(path,optionfile,pathtot,'\\');*/

split(pathtot,path,optionfile,optionfilext,optionfilefiname);	split(pathtot,path,optionfile,optionfilext,optionfilefiname);
printf("pathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);	printf("pathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);
chdir(path);	chdir(path);
replace(pathc,path);	replace(pathc,path);

/-------- arguments in the command line --------/	/-------- arguments in the command line --------/

/* Log file */	/* Log file */
strcat(filelog, optionfilefiname);	strcat(filelog, optionfilefiname);
Line 3210 int main(int argc, char *argv[])	Line 3534 int main(int argc, char *argv[])
fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);	fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);
printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model);	printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model);
fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);	fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
puts(line);	puts(line);
Line 3237 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3561 while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);

param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);	param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
for(i=1; i <=nlstate; i++)	for(i=1; i <=nlstate; i++)
for(j=1; j <=nlstate+ndeath-1; j++){	for(j=1; j <=nlstate+ndeath-1; j++){
fscanf(ficpar,"%1d%1d",&i1,&j1);	fscanf(ficpar,"%1d%1d",&i1,&j1);
fprintf(ficparo,"%1d%1d",i1,j1);	fprintf(ficparo,"%1d%1d",i1,j1);
Line 3261 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3585 while((c=getc(ficpar))=='#' && c!= EOF){
fprintf(ficparo,"\n");	fprintf(ficparo,"\n");
}	}

npar= (nlstate+ndeath-1)nlstatencovmodel; /* Number of parameters*/	npar= (nlstate+ndeath-1)nlstatencovmodel; /* Number of parameters*/

p=param[1][1];	p=param[1][1];

Line 3275 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3599 while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);

delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);	delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
delti=vector(1,npar); /* Scale of each paramater (output from hesscov) */	/* delti=vector(1,npar); // Scale of each paramater (output from hesscov) */
for(i=1; i <=nlstate; i++){	for(i=1; i <=nlstate; i++){
for(j=1; j <=nlstate+ndeath-1; j++){	for(j=1; j <=nlstate+ndeath-1; j++){
fscanf(ficpar,"%1d%1d",&i1,&j1);	fscanf(ficpar,"%1d%1d",&i1,&j1);
Line 3292 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3616 while((c=getc(ficpar))=='#' && c!= EOF){
}	}
}	}
delti=delti3[1][1];	delti=delti3[1][1];


	/* free_ma3x(delti3,1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); / / Hasn't to to freed here otherwise delti is no more allocated */

/* Reads comments: lines beginning with '#' */	/* Reads comments: lines beginning with '#' */
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
Line 3334 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3661 while((c=getc(ficpar))=='#' && c!= EOF){
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");


/-------- Rewriting paramater file ----------/	/-------- Rewriting paramater file ----------/
strcpy(rfileres,"r"); /* "Rparameterfile */	strcpy(rfileres,"r"); /* "Rparameterfile */
strcat(rfileres,optionfilefiname); /* Parameter file first name*/	strcat(rfileres,optionfilefiname); /* Parameter file first name*/
strcat(rfileres,"."); /* */	strcat(rfileres,"."); /* */
strcat(rfileres,optionfilext); /* Other files have txt extension */	strcat(rfileres,optionfilext); /* Other files have txt extension */
if((ficres =fopen(rfileres,"w"))==NULL) {	if((ficres =fopen(rfileres,"w"))==NULL) {
printf("Problem writing new parameter file: %s\n", fileres);goto end;	printf("Problem writing new parameter file: %s\n", fileres);goto end;
fprintf(ficlog,"Problem writing new parameter file: %s\n", fileres);goto end;	fprintf(ficlog,"Problem writing new parameter file: %s\n", fileres);goto end;
}	}
fprintf(ficres,"#%s\n",version);	fprintf(ficres,"#%s\n",version);

/-------- data file ----------/	/-------- data file ----------/
if((fic=fopen(datafile,"r"))==NULL) {	if((fic=fopen(datafile,"r"))==NULL) {
printf("Problem with datafile: %s\n", datafile);goto end;	printf("Problem with datafile: %s\n", datafile);goto end;
fprintf(ficlog,"Problem with datafile: %s\n", datafile);goto end;	fprintf(ficlog,"Problem with datafile: %s\n", datafile);goto end;
}	}

n= lastobs;	n= lastobs;
severity = vector(1,maxwav);	severity = vector(1,maxwav);
outcome=imatrix(1,maxwav+1,1,n);	outcome=imatrix(1,maxwav+1,1,n);
num=ivector(1,n);	num=ivector(1,n);
moisnais=vector(1,n);	moisnais=vector(1,n);
annais=vector(1,n);	annais=vector(1,n);
moisdc=vector(1,n);	moisdc=vector(1,n);
andc=vector(1,n);	andc=vector(1,n);
agedc=vector(1,n);	agedc=vector(1,n);
cod=ivector(1,n);	cod=ivector(1,n);
weight=vector(1,n);	weight=vector(1,n);
for(i=1;i<=n;i++) weight[i]=1.0; /* Equal weights, 1 by default */	for(i=1;i<=n;i++) weight[i]=1.0; /* Equal weights, 1 by default */
mint=matrix(1,maxwav,1,n);	mint=matrix(1,maxwav,1,n);
anint=matrix(1,maxwav,1,n);	anint=matrix(1,maxwav,1,n);
s=imatrix(1,maxwav+1,1,n);	s=imatrix(1,maxwav+1,1,n);
adl=imatrix(1,maxwav+1,1,n);	tab=ivector(1,NCOVMAX);
tab=ivector(1,NCOVMAX);	ncodemax=ivector(1,8);
ncodemax=ivector(1,8);
	i=1;
i=1;	while (fgets(line, MAXLINE, fic) != NULL) {
while (fgets(line, MAXLINE, fic) != NULL) {	if ((i >= firstobs) && (i <=lastobs)) {
if ((i >= firstobs) && (i <=lastobs)) {

for (j=maxwav;j>=1;j--){	for (j=maxwav;j>=1;j--){
cutv(stra, strb,line,' '); s[j][i]=atoi(strb);	cutv(stra, strb,line,' '); s[j][i]=atoi(strb);
strcpy(line,stra);	strcpy(line,stra);
cutv(stra, strb,line,'/'); anint[j][i]=(double)(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,' '); 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,'/'); andc[i]=(double)(atoi(strb)); strcpy(line,stra);
cutv(stra, strb,line,' '); moisdc[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,'/'); annais[i]=(double)(atoi(strb)); strcpy(line,stra);
cutv(stra, strb,line,' '); moisnais[i]=(double)(atoi(strb)); strcpy(line,stra);	cutv(stra, strb,line,' '); moisnais[i]=(double)(atoi(strb)); strcpy(line,stra);

cutv(stra, strb,line,' '); weight[i]=(double)(atoi(strb)); strcpy(line,stra);	cutv(stra, strb,line,' '); weight[i]=(double)(atoi(strb)); strcpy(line,stra);
for (j=ncovcol;j>=1;j--){	for (j=ncovcol;j>=1;j--){
cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra);	cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra);
}	}
num[i]=atol(stra);	num[i]=atol(stra);

/*if((s[2][i]==2) && (s[3][i]==-1)&&(s[4][i]==9)){	/*if((s[2][i]==2) && (s[3][i]==-1)&&(s[4][i]==9)){
printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]),weight[i], (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]), (mint[2][i]), (anint[2][i]), (s[2][i]), (mint[3][i]), (anint[3][i]), (s[3][i]), (mint[4][i]), (anint[4][i]), (s[4][i])); ij=ij+1;}*/	printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]),weight[i], (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]), (mint[2][i]), (anint[2][i]), (s[2][i]), (mint[3][i]), (anint[3][i]), (s[3][i]), (mint[4][i]), (anint[4][i]), (s[4][i])); ij=ij+1;}*/

i=i+1;	i=i+1;
}	}
}	}
/* printf("ii=%d", ij);	/* printf("ii=%d", ij);
scanf("%d",i);*/	scanf("%d",i);*/
imx=i-1; /* Number of individuals */	imx=i-1; /* Number of individuals */

/* for (i=1; i<=imx; i++){	/* for (i=1; i<=imx; i++){
Line 3412 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3738 while((c=getc(ficpar))=='#' && c!= EOF){
if (s[4][i]==9) s[4][i]=-1;	if (s[4][i]==9) s[4][i]=-1;
printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]), (weight[i]), (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]), (mint[2][i]), (anint[2][i]), (s[2][i]), (mint[3][i]), (anint[3][i]), (s[3][i]), (mint[4][i]), (anint[4][i]), (s[4][i]));}*/	printf("%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]));}*/

	for (i=1; i<=imx; i++)

	/*if ((s[3][i]==3) \|\| (s[4][i]==3)) weight[i]=0.08;
	else weight[i]=1;*/

/* Calculation of the number of parameter from char model*/	/* Calculation of the number of parameter from char model*/
Tvar=ivector(1,15); /* stores the number n of the covariates in Vm+Vn at 1 and m at 2 */	Tvar=ivector(1,15); /* stores the number n of the covariates in Vm+Vn at 1 and m at 2 */
Tprod=ivector(1,15);	Tprod=ivector(1,15);
Line 3434 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3764 while((c=getc(ficpar))=='#' && c!= EOF){
goto end;	goto end;
}	}

/* This loop fill the array Tvar from the string 'model'.*/	/* This loop fills the array Tvar from the string 'model'.*/

for(i=(j+1); i>=1;i--){	for(i=(j+1); i>=1;i--){
cutv(stra,strb,modelsav,'+'); /* keeps in strb after the last + */	cutv(stra,strb,modelsav,'+'); /* keeps in strb after the last + */
if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyze it */	if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */
/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/	/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/
/scanf("%d",i);/	/scanf("%d",i);/
if (strchr(strb,'')) { / Model includes a product */	if (strchr(strb,'')) { / Model includes a product */
Line 3496 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3826 while((c=getc(ficpar))=='#' && c!= EOF){
fclose(fic);*/	fclose(fic);*/

/* if(mle==1){*/	/* if(mle==1){*/
if (weightopt != 1) { /* Maximisation without weights*/	if (weightopt != 1) { /* Maximisation without weights*/
for(i=1;i<=n;i++) weight[i]=1.0;	for(i=1;i<=n;i++) weight[i]=1.0;
}	}
/-calculation of age at interview from date of interview and age at death -/	/-calculation of age at interview from date of interview and age at death -/
agev=matrix(1,maxwav,1,imx);	agev=matrix(1,maxwav,1,imx);

for (i=1; i<=imx; i++) {	for (i=1; i<=imx; i++) {
for(m=2; (m<= maxwav); m++) {	for(m=2; (m<= maxwav); m++) {
if ((mint[m][i]== 99) && (s[m][i] <= nlstate)){	if (((int)mint[m][i]== 99) && (s[m][i] <= nlstate)){
anint[m][i]=9999;	anint[m][i]=9999;
s[m][i]=-1;	s[m][i]=-1;
}	}
if(moisdc[i]==99 && andc[i]==9999 & s[m][i]>nlstate) s[m][i]=-1;	if((int)moisdc[i]==99 && (int)andc[i]==9999 && s[m][i]>nlstate){
	printf("Error! Date of death (month %2d and year %4d) of individual %d on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
	fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %d on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
	s[m][i]=-1;
	}
	if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){
	printf("Error! Month of death of individual %d on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]);
	fprintf(ficlog,"Error! Month of death of individual %d on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]);
	s[m][i]=-1;
}	}
}	}
	}

for (i=1; i<=imx; i++) {	for (i=1; i<=imx; i++) {
agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);	agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);
for(m=1; (m<= maxwav); m++){	for(m=firstpass; (m<= lastpass); m++){
if(s[m][i] >0){	if(s[m][i] >0){
if (s[m][i] >= nlstate+1) {	if (s[m][i] >= nlstate+1) {
if(agedc[i]>0)	if(agedc[i]>0)
if(moisdc[i]!=99 && andc[i]!=9999)	if((int)moisdc[i]!=99 && (int)andc[i]!=9999)
agev[m][i]=agedc[i];	agev[m][i]=agedc[i];
/if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;/	/if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;/
else {	else {
if (andc[i]!=9999){	if ((int)andc[i]!=9999){
printf("Warning negative age at death: %d line:%d\n",num[i],i);	printf("Warning negative age at death: %d line:%d\n",num[i],i);
fprintf(ficlog,"Warning negative age at death: %d line:%d\n",num[i],i);	fprintf(ficlog,"Warning negative age at death: %d line:%d\n",num[i],i);
agev[m][i]=-1;	agev[m][i]=-1;
}	}
}	}
}	}
else if(s[m][i] !=9){ /* Should no more exist */	else if(s[m][i] !=9){ /* Standard case, age in fractional
agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);	years but with the precision of a
if(mint[m][i]==99 \|\| anint[m][i]==9999)	month */
agev[m][i]=1;	agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);
else if(agev[m][i] <agemin){	if((int)mint[m][i]==99 \|\| (int)anint[m][i]==9999)
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]+2m;/
}
else { /* =9 */
agev[m][i]=1;	agev[m][i]=1;
s[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]+2m;/
}	}
else /= 0 Unknown /	else { /* =9 */
agev[m][i]=1;	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)) {	for (i=1; i<=imx; i++) {
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);	for(m=firstpass; (m<=lastpass); m++){
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);	if (s[m][i] > (nlstate+ndeath)) {
goto end;	printf("Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);
}	fprintf(ficlog,"Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);
	goto end;
}	}
}	}
	}

	/*for (i=1; i<=imx; i++){
	for (m=firstpass; (m<lastpass); m++){
	printf("%d %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);
	printf("Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);
free_vector(severity,1,maxwav);	fprintf(ficlog,"Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);
free_imatrix(outcome,1,maxwav+1,1,n);
free_vector(moisnais,1,n);	free_vector(severity,1,maxwav);
free_vector(annais,1,n);	free_imatrix(outcome,1,maxwav+1,1,n);
/* free_matrix(mint,1,maxwav,1,n);	free_vector(moisnais,1,n);
free_matrix(anint,1,maxwav,1,n);*/	free_vector(annais,1,n);
free_vector(moisdc,1,n);	/* free_matrix(mint,1,maxwav,1,n);
free_vector(andc,1,n);	free_matrix(anint,1,maxwav,1,n);*/
	free_vector(moisdc,1,n);
	free_vector(andc,1,n);


wav=ivector(1,imx);	wav=ivector(1,imx);
dh=imatrix(1,lastpass-firstpass+1,1,imx);	dh=imatrix(1,lastpass-firstpass+1,1,imx);
mw=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 */	/* Concatenates waves */
concatwav(wav, dh, mw, s, agedc, agev, firstpass, lastpass, imx, nlstate, stepm);	concatwav(wav, dh, bh, mw, s, agedc, agev, firstpass, lastpass, imx, nlstate, stepm);

/* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */	/* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */

Tcode=ivector(1,100);	Tcode=ivector(1,100);
nbcode=imatrix(0,NCOVMAX,0,NCOVMAX);	nbcode=imatrix(0,NCOVMAX,0,NCOVMAX);
ncodemax[1]=1;	ncodemax[1]=1;
if (cptcovn > 0) tricode(Tvar,nbcode,imx);	if (cptcovn > 0) tricode(Tvar,nbcode,imx);

codtab=imatrix(1,100,1,10); /* Cross tabulation to get the order of	codtab=imatrix(1,100,1,10); /* Cross tabulation to get the order of
the estimations*/	the estimations*/
h=0;	h=0;
m=pow(2,cptcoveff);	m=pow(2,cptcoveff);

for(k=1;k<=cptcoveff; k++){	for(k=1;k<=cptcoveff; k++){
for(i=1; i <=(m/pow(2,k));i++){	for(i=1; i <=(m/pow(2,k));i++){
for(j=1; j <= ncodemax[k]; j++){	for(j=1; j <= ncodemax[k]; j++){
for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){	for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){
h++;	h++;
if (h>m) h=1;codtab[h][k]=j;codtab[h][Tvar[k]]=j;	if (h>m) h=1;codtab[h][k]=j;codtab[h][Tvar[k]]=j;
/* printf("h=%d k=%d j=%d codtab[h][k]=%d tvar[k]=%d \n",h, k,j,codtab[h][k],Tvar[k]);*/	/* printf("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);*/	}
	}
	/* 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	/* Calculates basic frequencies. Computes observed prevalence at single age
and prints on file fileres'p'. */	and prints on file fileres'p'. */



pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */	pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */	oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */	newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */	savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */	oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */

/* For Powell, parameters are in a vector p[] starting at p[1]
so we point p on param[1][1] so that p[1] maps on param[1][1][1] */	/* For Powell, parameters are in a vector p[] starting at p[1]
p=param[1][1]; /* (((param +1)+1)+0) /	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){	if(mle>=1){ /* Could be 1 or 2 */
mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);	mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);
}	}

/--------- results files --------------/	/--------- 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,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model);


jk=1;	jk=1;
fprintf(ficres,"# Parameters nlstatenlstatencov a121 + b12 age + ...\n");	fprintf(ficres,"# Parameters nlstatenlstatencov a121 + b12 age + ...\n");
printf("# Parameters nlstatenlstatencov a121 + b12 age + ...\n");	printf("# Parameters nlstatenlstatencov a121 + b12 age + ...\n");
fprintf(ficlog,"# Parameters nlstatenlstatencov a121 + b12 age + ...\n");	fprintf(ficlog,"# Parameters nlstatenlstatencov a121 + b12 age + ...\n");
for(i=1,jk=1; i <=nlstate; i++){	for(i=1,jk=1; i <=nlstate; i++){
for(k=1; k <=(nlstate+ndeath); k++){	for(k=1; k <=(nlstate+ndeath); k++){
if (k != i)	if (k != i)
{	{
printf("%d%d ",i,k);	printf("%d%d ",i,k);
fprintf(ficlog,"%d%d ",i,k);	fprintf(ficlog,"%d%d ",i,k);
fprintf(ficres,"%1d%1d ",i,k);	fprintf(ficres,"%1d%1d ",i,k);
for(j=1; j <=ncovmodel; j++){	for(j=1; j <=ncovmodel; j++){
printf("%f ",p[jk]);	printf("%f ",p[jk]);
fprintf(ficlog,"%f ",p[jk]);	fprintf(ficlog,"%f ",p[jk]);
fprintf(ficres,"%f ",p[jk]);	fprintf(ficres,"%f ",p[jk]);
jk++;	jk++;
}	}
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
fprintf(ficres,"\n");	fprintf(ficres,"\n");
}	}
}	}
}	}
if(mle==1){	if(mle==1){
/* Computing hessian and covariance matrix */	/* Computing hessian and covariance matrix */
ftolhess=ftol; /* Usually correct */	ftolhess=ftol; /* Usually correct */
hesscov(matcov, p, npar, delti, ftolhess, func);	hesscov(matcov, p, npar, delti, ftolhess, func);
}	}
fprintf(ficres,"# Scales (for hessian or gradient estimation)\n");	fprintf(ficres,"# Scales (for hessian or gradient estimation)\n");
printf("# Scales (for hessian or gradient estimation)\n");	printf("# Scales (for hessian or gradient estimation)\n");
fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n");	fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n");
for(i=1,jk=1; i <=nlstate; i++){	for(i=1,jk=1; i <=nlstate; i++){
for(j=1; j <=nlstate+ndeath; j++){	for(j=1; j <=nlstate+ndeath; j++){
if (j!=i) {	if (j!=i) {
fprintf(ficres,"%1d%1d",i,j);	fprintf(ficres,"%1d%1d",i,j);
printf("%1d%1d",i,j);	printf("%1d%1d",i,j);
fprintf(ficlog,"%1d%1d",i,j);	fprintf(ficlog,"%1d%1d",i,j);
for(k=1; k<=ncovmodel;k++){	for(k=1; k<=ncovmodel;k++){
printf(" %.5e",delti[jk]);	printf(" %.5e",delti[jk]);
fprintf(ficlog," %.5e",delti[jk]);	fprintf(ficlog," %.5e",delti[jk]);
fprintf(ficres," %.5e",delti[jk]);	fprintf(ficres," %.5e",delti[jk]);
jk++;	jk++;
}	}
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
fprintf(ficres,"\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");
fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");	if(mle==1)
if(mle==1)	printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");
printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");	fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");
fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");	for(i=1,k=1;i<=npar;i++){
for(i=1;i<=npar;i++){	/* if (k>nlstate) k=1;
/* if (k>nlstate) k=1;	i1=(i-1)/(ncovmodel*nlstate)+1;
i1=(i-1)/(ncovmodel*nlstate)+1;	fprintf(ficres,"%s%d%d",alph[k],i1,tab[i]);
fprintf(ficres,"%s%d%d",alph[k],i1,tab[i]);	printf("%s%d%d",alph[k],i1,tab[i]);
printf("%s%d%d",alph[k],i1,tab[i]);*/	*/
fprintf(ficres,"%3d",i);	fprintf(ficres,"%3d",i);
if(mle==1)	if(mle==1)
printf("%3d",i);	printf("%3d",i);
fprintf(ficlog,"%3d",i);	fprintf(ficlog,"%3d",i);
for(j=1; j<=i;j++){	for(j=1; j<=i;j++){
fprintf(ficres," %.5e",matcov[i][j]);	fprintf(ficres," %.5e",matcov[i][j]);
if(mle==1)	if(mle==1)
printf(" %.5e",matcov[i][j]);	printf(" %.5e",matcov[i][j]);
fprintf(ficlog," %.5e",matcov[i][j]);	fprintf(ficlog," %.5e",matcov[i][j]);
}	}
fprintf(ficres,"\n");	fprintf(ficres,"\n");
if(mle==1)	if(mle==1)
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
k++;	k++;
}	}

while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
puts(line);	puts(line);
fputs(line,ficparo);	fputs(line,ficparo);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);
estepm=0;
fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm);	estepm=0;
if (estepm==0 \|\| estepm < stepm) estepm=stepm;	fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm);
if (fage <= 2) {	if (estepm==0 \|\| estepm < stepm) estepm=stepm;
bage = ageminpar;	if (fage <= 2) {
fage = agemaxpar;	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 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(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);	fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);

while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
puts(line);	puts(line);
fputs(line,ficparo);	fputs(line,ficparo);
}	}
ungetc(c,ficpar);	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);	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(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);	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){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
puts(line);	puts(line);
fputs(line,ficparo);	fputs(line,ficparo);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);


dateprev1=anprev1+mprev1/12.+jprev1/365.;	dateprev1=anprev1+(mprev1-1)/12.+(jprev1-1)/365.;
dateprev2=anprev2+mprev2/12.+jprev2/365.;	dateprev2=anprev2+(mprev2-1)/12.+(jprev2-1)/365.;

fscanf(ficpar,"pop_based=%d\n",&popbased);	fscanf(ficpar,"pop_based=%d\n",&popbased);
fprintf(ficparo,"pop_based=%d\n",popbased);	fprintf(ficparo,"pop_based=%d\n",popbased);
Line 3772 while((c=getc(ficpar))=='#' && c!= EOF){	Line 4123 while((c=getc(ficpar))=='#' && c!= EOF){
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);

fscanf(ficpar,"starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf\n",&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2);	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,"starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf\n",jproj1,mproj1,anproj1,jproj2,mproj2,anproj2);	fprintf(ficparo,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
fprintf(ficres,"starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf\n",jproj1,mproj1,anproj1,jproj2,mproj2,anproj2);	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.*/

while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
puts(line);	puts(line);
Line 3789 while((c=getc(ficpar))=='#' && c!= EOF){	Line 4142 while((c=getc(ficpar))=='#' && c!= EOF){
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(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);	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);	probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
	freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);

/------------ gnuplot -------------/	/------------ gnuplot -------------/
strcpy(optionfilegnuplot,optionfilefiname);	strcpy(optionfilegnuplot,optionfilefiname);
strcat(optionfilegnuplot,".gp");	strcat(optionfilegnuplot,".gp");
if((ficgp=fopen(optionfilegnuplot,"w"))==NULL) {	if((ficgp=fopen(optionfilegnuplot,"w"))==NULL) {
printf("Problem with file %s",optionfilegnuplot);	printf("Problem with file %s",optionfilegnuplot);
}	}
else{	else{
fprintf(ficgp,"\n# %s\n", version);	fprintf(ficgp,"\n# %s\n", version);
fprintf(ficgp,"# %s\n", optionfilegnuplot);	fprintf(ficgp,"# %s\n", optionfilegnuplot);
fprintf(ficgp,"set missing 'NaNq'\n");	fprintf(ficgp,"set missing 'NaNq'\n");
}	}
fclose(ficgp);	fclose(ficgp);
printinggnuplot(fileres, ageminpar,agemaxpar,fage, pathc,p);	printinggnuplot(fileres, ageminpar,agemaxpar,fage, pathc,p);
/--------- index.htm --------/	/--------- index.htm --------/

strcpy(optionfilehtm,optionfile);	strcpy(optionfilehtm,optionfile);
strcat(optionfilehtm,".htm");	strcat(optionfilehtm,".htm");
Line 3816 while((c=getc(ficpar))=='#' && c!= EOF){	Line 4170 while((c=getc(ficpar))=='#' && c!= EOF){
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n	Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n
\n	\n
Total number of observations=%d <br>\n	Total number of observations=%d <br>\n
	Youngest age at first (selected) pass %.2f, oldest age %.2f<br>\n
Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n	Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n
<hr size=\"2\" color=\"#EC5E5E\">	<hr size=\"2\" color=\"#EC5E5E\">
<ul><li><h4>Parameter files</h4>\n	<ul><li><h4>Parameter files</h4>\n
- Copy of the parameter file: <a href=\"o%s\">o%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	- Log file of the run: <a href=\"%s\">%s</a><br>\n
- Gnuplot file name: <a href=\"%s\">%s</a></ul>\n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,filelog,filelog,optionfilegnuplot,optionfilegnuplot);	- Gnuplot file name: <a href=\"%s\">%s</a></ul>\n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,agemin,agemax,jmin,jmax,jmean,fileres,fileres,filelog,filelog,optionfilegnuplot,optionfilegnuplot);
fclose(fichtm);	fclose(fichtm);

printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,model,imx,jmin,jmax,jmean,rfileres,popforecast,estepm,jprev1,mprev1,anprev1,jprev2,mprev2,anprev2);	printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,model,imx,jmin,jmax,jmean,rfileres,popforecast,estepm,jprev1,mprev1,anprev1,jprev2,mprev2,anprev2);

/------------ free_vector -------------/	/------------ free_vector -------------/
chdir(path);	chdir(path);

free_ivector(wav,1,imx);	free_ivector(wav,1,imx);
free_imatrix(dh,1,lastpass-firstpass+1,1,imx);	free_imatrix(dh,1,lastpass-firstpass+1,1,imx);
free_imatrix(mw,1,lastpass-firstpass+1,1,imx);	free_imatrix(bh,1,lastpass-firstpass+1,1,imx);
free_ivector(num,1,n);	free_imatrix(mw,1,lastpass-firstpass+1,1,imx);
free_vector(agedc,1,n);	free_ivector(num,1,n);
/free_matrix(covar,1,NCOVMAX,1,n);/	free_vector(agedc,1,n);
fclose(ficparo);	/free_matrix(covar,0,NCOVMAX,1,n);/
fclose(ficres);	/free_matrix(covar,1,NCOVMAX,1,n);/
	fclose(ficparo);
	fclose(ficres);


/--------------- Prevalence limit (stable prevalence) --------------/	/--------------- Prevalence limit (stable prevalence) --------------/
Line 3855 Interval (in months) between two waves:	Line 4212 Interval (in months) between two waves:
fprintf(ficrespl,"\n");	fprintf(ficrespl,"\n");

prlim=matrix(1,nlstate,1,nlstate);	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;	agebase=ageminpar;
agelim=agemaxpar;	agelim=agemaxpar;
ftolpl=1.e-10;	ftolpl=1.e-10;
i1=cptcoveff;	i1=cptcoveff;
if (cptcovn < 1){i1=1;}	if (cptcovn < 1){i1=1;}

for(cptcov=1;cptcov<=i1;cptcov++){	for(cptcov=1,k=0;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){	for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
k=k+1;	k=k+1;
/printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,Tcode[cptcode],codtab[cptcod][cptcov]);/	/printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,Tcode[cptcode],codtab[cptcod][cptcov]);/
fprintf(ficrespl,"\n#******");	fprintf(ficrespl,"\n#******");
printf("\n#******");	printf("\n#******");
fprintf(ficlog,"\n#******");	fprintf(ficlog,"\n#******");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcoveff;j++) {
fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
}	}
fprintf(ficrespl,"******\n");	fprintf(ficrespl,"******\n");
printf("******\n");	printf("******\n");
fprintf(ficlog,"******\n");	fprintf(ficlog,"******\n");

for (age=agebase; age<=agelim; age++){	for (age=agebase; age<=agelim; age++){
prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);	prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
fprintf(ficrespl,"%.0f",age );	fprintf(ficrespl,"%.0f ",age );
for(i=1; i<=nlstate;i++)	for(j=1;j<=cptcoveff;j++)
	fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
	for(i=1; i<=nlstate;i++)
fprintf(ficrespl," %.5f", prlim[i][i]);	fprintf(ficrespl," %.5f", prlim[i][i]);
fprintf(ficrespl,"\n");	fprintf(ficrespl,"\n");
}
}	}
}	}
	}
fclose(ficrespl);	fclose(ficrespl);

/------------- h Pij x at various ages ------------/	/------------- h Pij x at various ages ------------/
Line 3913 Interval (in months) between two waves:	Line 4267 Interval (in months) between two waves:

/* hstepm=1; aff par mois*/	/* hstepm=1; aff par mois*/

k=0;	fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x ");
for(cptcov=1;cptcov<=i1;cptcov++){	for(cptcov=1,k=0;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){	for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
k=k+1;	k=k+1;
fprintf(ficrespij,"\n#****** ");	fprintf(ficrespij,"\n#****** ");
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
fprintf(ficrespij,"******\n");	fprintf(ficrespij,"******\n");

for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */	for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */
nhstepm=(int) rint((agelim-agedeb)YEARM/stepm); / Typically 20 years = 2012/6=40 /	nhstepm=(int) rint((agelim-agedeb)YEARM/stepm); / Typically 20 years = 2012/6=40 /
nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */	nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */

/* nhstepm=nhstepmYEARM; aff par mois/	/* nhstepm=nhstepmYEARM; aff par mois/

p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);	p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
oldm=oldms;savm=savms;	oldm=oldms;savm=savms;
hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);	hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);
fprintf(ficrespij,"# Age");	fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j=");
	for(i=1; i<=nlstate;i++)
	for(j=1; j<=nlstate+ndeath;j++)
	fprintf(ficrespij," %1d-%1d",i,j);
	fprintf(ficrespij,"\n");
	for (h=0; h<=nhstepm; h++){
	fprintf(ficrespij,"%d %3.f %3.f",k,agedeb, agedeb+ hhstepm/YEARMstepm );
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate+ndeath;j++)	for(j=1; j<=nlstate+ndeath;j++)
fprintf(ficrespij," %1d-%1d",i,j);	fprintf(ficrespij," %.5f", p3mat[i][j][h]);
fprintf(ficrespij,"\n");
for (h=0; h<=nhstepm; h++){
fprintf(ficrespij,"%d %f %f",k,agedeb, agedeb+ hhstepm/YEARMstepm );
for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate+ndeath;j++)
fprintf(ficrespij," %.5f", p3mat[i][j][h]);
fprintf(ficrespij,"\n");
}
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
fprintf(ficrespij,"\n");	fprintf(ficrespij,"\n");
}	}
	free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
	fprintf(ficrespij,"\n");
	}
}	}
}	}

varprob(optionfilefiname, matcov, p, delti, nlstate, (int) bage, (int) fage,k,Tvar,nbcode, ncodemax);	varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax);

fclose(ficrespij);	fclose(ficrespij);


/---------- Forecasting ------------------/	/---------- Forecasting ------------------/
if((stepm == 1) && (strcmp(model,".")==0)){	/if((stepm == 1) && (strcmp(model,".")==0)){/
prevforecast(fileres, anproj1,mproj1,jproj1, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anproj2,p, i1);	if(prevfcast==1){
if (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);	/* if(stepm ==1){*/
}	prevforecast(fileres, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);
else{	/* (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);*/
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);	/* else{ */
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);	/* 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); */
	/* } */
}	}


Line 3996 Interval (in months) between two waves:	Line 4353 Interval (in months) between two waves:
printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);	printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);	fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);

calagedate=-1;	/* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */
	prevalence(agemin, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate);	/* 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) {	if (mobilav!=0) {
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
Line 4008 Interval (in months) between two waves:	Line 4367 Interval (in months) between two waves:
}	}
}	}

k=0;	for(cptcov=1,k=0;cptcov<=i1;cptcov++){
for(cptcov=1;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){	for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
k=k+1;	k=k+1;
fprintf(ficrest,"\n#****** ");	fprintf(ficrest,"\n#****** ");
Line 4036 Interval (in months) between two waves:	Line 4394 Interval (in months) between two waves:
varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,0, mobilav);	varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,0, mobilav);
if(popbased==1){	if(popbased==1){
varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,popbased,mobilav);	varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,popbased,mobilav);
}	}


fprintf(ficrest,"#Total LEs with variances: e.. (std) ");	fprintf(ficrest,"#Total LEs with variances: e.. (std) ");
Line 4074 Interval (in months) between two waves:	Line 4432 Interval (in months) between two waves:
}	}
fprintf(ficrest,"\n");	fprintf(ficrest,"\n");
}	}
	free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
	free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);
	free_vector(epj,1,nlstate+1);
}	}
}	}
free_matrix(mint,1,maxwav,1,n);	free_vector(weight,1,n);
free_matrix(anint,1,maxwav,1,n); free_imatrix(s,1,maxwav+1,1,n);	free_imatrix(Tvard,1,15,1,2);
free_vector(weight,1,n);	free_imatrix(s,1,maxwav+1,1,n);
	free_matrix(anint,1,maxwav,1,n);
	free_matrix(mint,1,maxwav,1,n);
	free_ivector(cod,1,n);
	free_ivector(tab,1,NCOVMAX);
fclose(ficreseij);	fclose(ficreseij);
fclose(ficresvij);	fclose(ficresvij);
fclose(ficrest);	fclose(ficrest);
fclose(ficpar);	fclose(ficpar);
free_vector(epj,1,nlstate+1);

/------- Variance of stable prevalence------/	/------- Variance of stable prevalence------/

Line 4095 free_matrix(mint,1,maxwav,1,n);	Line 4459 free_matrix(mint,1,maxwav,1,n);
}	}
printf("Computing Variance-covariance of stable prevalence: file '%s' \n", fileresvpl);	printf("Computing Variance-covariance of stable prevalence: file '%s' \n", fileresvpl);

k=0;	for(cptcov=1,k=0;cptcov<=i1;cptcov++){
for(cptcov=1;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){	for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
k=k+1;	k=k+1;
fprintf(ficresvpl,"\n#****** ");	fprintf(ficresvpl,"\n#****** ");
Line 4106 free_matrix(mint,1,maxwav,1,n);	Line 4469 free_matrix(mint,1,maxwav,1,n);

varpl=matrix(1,nlstate,(int) bage, (int) fage);	varpl=matrix(1,nlstate,(int) bage, (int) fage);
oldm=oldms;savm=savms;	oldm=oldms;savm=savms;
varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k);	varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k);
	free_matrix(varpl,1,nlstate,(int) bage, (int)fage);
}	}
}	}

fclose(ficresvpl);	fclose(ficresvpl);

/---------- End : free ----------------/	/---------- 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(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);	free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);	free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(savms, 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_matrix(matcov,1,npar,1,npar);
free_vector(delti,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_matrix(agev,1,maxwav,1,imx);
free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);	free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
	free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);

fprintf(fichtm,"\n</body>");	free_ivector(ncodemax,1,8);
fclose(fichtm);	free_ivector(Tvar,1,15);
fclose(ficgp);	free_ivector(Tprod,1,15);
	free_ivector(Tvaraff,1,15);
	free_ivector(Tage,1,15);
	free_ivector(Tcode,1,100);

	/* fclose(fichtm);*/
	/* fclose(ficgp);/ / ALready done */


if(erreur >0){	if(erreur >0){
Line 4150 free_matrix(mint,1,maxwav,1,n);	Line 4517 free_matrix(mint,1,maxwav,1,n);
/printf("Total time was %d uSec.\n", total_usecs);/	/printf("Total time was %d uSec.\n", total_usecs);/
/------ End -----------/	/------ End -----------/

	end:
end:
#ifdef windows	#ifdef windows
/* chdir(pathcd);*/	/* chdir(pathcd);*/
#endif	#endif
Line 4159 free_matrix(mint,1,maxwav,1,n);	Line 4525 free_matrix(mint,1,maxwav,1,n);
/system("../gp37mgw/wgnuplot graph.plt");/	/system("../gp37mgw/wgnuplot graph.plt");/
/system("cd ../gp37mgw");/	/system("cd ../gp37mgw");/
/* system("..\\gp37mgw\\wgnuplot graph.plt");*/	/* system("..\\gp37mgw\\wgnuplot graph.plt");*/
strcpy(plotcmd,GNUPLOTPROGRAM);	strcpy(plotcmd,GNUPLOTPROGRAM);
strcat(plotcmd," ");	strcat(plotcmd," ");
strcat(plotcmd,optionfilegnuplot);	strcat(plotcmd,optionfilegnuplot);
printf("Starting: %s\n",plotcmd);fflush(stdout);	printf("Starting graphs with: %s",plotcmd);fflush(stdout);
system(plotcmd);	system(plotcmd);
	printf(" Wait...");

/#ifdef windows/	/#ifdef windows/
while (z[0] != 'q') {	while (z[0] != 'q') {

FreeBSD-CVSweb <freebsd-cvsweb@FreeBSD.org>

Removed from v.1.58
changed lines
	Added in v.1.83