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version 1.53, 2002/07/23 23:59:37	version 1.74, 2003/05/02 18:51:41
Line 32	Line 32
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.

Also this programme outputs the covariance matrix of the parameters but also	Also this programme outputs the covariance matrix of the parameters but also
of the life expectancies. It also computes the prevalence limits.	of the life expectancies. It also computes the stable prevalence.

Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr).	Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr).
Institut national d'études démographiques, Paris.	Institut national d'études démographiques, Paris.
Line 48	Line 48
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 60	Line 96
/#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"/	/#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"/
#define FILENAMELENGTH 80	#define FILENAMELENGTH 80
/#define DEBUG/	/#define DEBUG/
#define unix	#define windows
#define GLOCK_ERROR_NOPATH -1 /* empty path */	#define GLOCK_ERROR_NOPATH -1 /* empty path */
#define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */	#define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */

Line 83	Line 119
#define ODIRSEPARATOR '\\'	#define ODIRSEPARATOR '\\'
#endif	#endif

char version[80]="Imach version 0.8j, July 2002, INED-EUROREVES ";	char version[80]="Imach version 0.95, February 2003, INED-EUROREVES ";
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 135 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 */
Line 163 int estepm;	Line 201 int estepm;
int m,nb;	int m,nb;
int num, firstpass=0, lastpass=4,cod, ncodemax, Tage;	int num, firstpass=0, lastpass=4,cod, ncodemax, Tage;
double *agev,moisnais, annais, moisdc, andc,mint, *anint;	double *agev,moisnais, annais, moisdc, andc,mint, *anint;
double pmmij, probs, **mobaverage;	double pmmij, *probs;
double dateintmean=0;	double dateintmean=0;

double *weight;	double *weight;
Line 177 double ftolhess; /* Tolerance for comput	Line 215 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 309 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 363 double **matrix(long nrl, long nrh, long	Line 395 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 436 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 701 void powell(double p[], double **xi, int	Line 738 void powell(double p[], double **xi, int
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
#endif	#endif
}	}
}	}
}	}
}	}

/** Prevalence limit **************/	/** Prevalence limit (stable prevalence) **************/

double prevalim(double prlim, int nlstate, double x[], double age, double oldm, double savm, double ftolpl, int ij)	double prevalim(double prlim, int nlstate, double x[], double age, double oldm, double savm, double ftolpl, int ij)
{	{
Line 854 double matprod2(double out, double *	Line 891 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 953 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 965 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 1185 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;
xi=matrix(1,npar,1,npar);	xi=matrix(1,npar,1,npar);
for (i=1;i<=npar;i++)	for (i=1;i<=npar;i++)
Line 974 void mlikeli(FILE *ficres,double p[], in	Line 1195 void mlikeli(FILE *ficres,double p[], in
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));	printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));
fprintf(ficlog,"#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 1458 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 1478 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 1493 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 1284 void freqsummary(char fileres[], int ag	Line 1509 void freqsummary(char fileres[], int ag
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]])	if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]])
bool=0;	bool=0;
}	}
if (bool==1) {	if (bool==1){
for(m=firstpass; m<=lastpass; m++){	for(m=firstpass; m<=lastpass; m++){
k2=anint[m][i]+(mint[m][i]/12.);	k2=anint[m][i]+(mint[m][i]/12.);
if ((k2>=dateprev1) && (k2<=dateprev2)) {	if ((k2>=dateprev1) && (k2<=dateprev2)) {
if(agev[m][i]==0) agev[m][i]=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 1541 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 1573 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 1588 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 1606 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 1617 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 1652 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 1664 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(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)
pp[jk] += freq[jk][m][i];
}

for(jk=1,pos=0; jk <=nlstate ; jk++) pos += pp[jk];

for(jk=1; jk <=nlstate ; jk++){	for(jk=1,posprop=0; jk <=nlstate ; jk++) {
if( i <= (int) agemax){	posprop += prop[jk][i];
if(pos>=1.e-5){	}
probs[i][jk][j1]= pp[jk]/pos;
}	for(jk=1; jk <=nlstate ; jk++){
}	if( i <= iagemax){
}/* end jk */	if(posprop>=1.e-5){
}/* end i */	probs[i][jk][j1]= prop[jk][i]/posprop;
	}
	}
	}/* 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_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 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 1545 void concatwav(int wav[], int **dh, int	Line 1766 void concatwav(int wav[], int **dh, int
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);*/
	/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]);/
}	}
}	}
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]);/
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 1575 void concatwav(int wav[], int **dh, int	Line 1820 void concatwav(int wav[], int **dh, int
/********* Tricode **************************/	/********* Tricode **************************/
void tricode(int Tvar, int *nbcode, int imx)	void tricode(int Tvar, int *nbcode, int imx)
{	{
int Ndum[20],ij=1, k, j, i;
	int Ndum[20],ij=1, k, j, i, maxncov=19;
int cptcode=0;	int cptcode=0;
cptcoveff=0;	cptcoveff=0;

for (k=0; k<19; k++) Ndum[k]=0;	for (k=0; k<maxncov; k++) Ndum[k]=0;
for (k=1; k<=7; k++) ncodemax[k]=0;	for (k=1; k<=7; k++) ncodemax[k]=0;

for (j=1; j<=(cptcovn+2*cptcovprod); j++) {	for (j=1; j<=(cptcovn+2*cptcovprod); j++) {
for (i=1; i<=imx; i++) {	for (i=1; i<=imx; i++) { /*reads the data file to get the maximum
ij=(int)(covar[Tvar[j]][i]);	modality*/
Ndum[ij]++;	ij=(int)(covar[Tvar[j]][i]); /* ij is the modality of this individual*/
	Ndum[ij]++; /store the modality /
/printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);/	/printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);/
if (ij > cptcode) cptcode=ij;	if (ij > cptcode) cptcode=ij; /* getting the maximum of covariable
	Tvar[j]. If V=sex and male is 0 and
	female is 1, then cptcode=1.*/
}	}

for (i=0; i<=cptcode; i++) {	for (i=0; i<=cptcode; i++) {
if(Ndum[i]!=0) ncodemax[j]++;	if(Ndum[i]!=0) ncodemax[j]++; /* Nomber of modalities of the j th covariates. In fact ncodemax[j]=2 (dichotom. variables) but it can be more */
}	}
ij=1;


	ij=1;
for (i=1; i<=ncodemax[j]; i++) {	for (i=1; i<=ncodemax[j]; i++) {
for (k=0; k<=19; k++) {	for (k=0; k<= maxncov; k++) {
if (Ndum[k] != 0) {	if (Ndum[k] != 0) {
nbcode[Tvar[j]][ij]=k;	nbcode[Tvar[j]][ij]=k;
	/* store the modality in an array. k is a modality. If we have model=V1+V1sex then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; /

ij++;	ij++;
}	}
Line 1608 void tricode(int Tvar, int *nbcode, in	Line 1857 void tricode(int Tvar, int *nbcode, in
}	}
}	}

for (k=0; k<19; k++) Ndum[k]=0;	for (k=0; k< maxncov; k++) Ndum[k]=0;

for (i=1; i<=ncovmodel-2; i++) {	for (i=1; i<=ncovmodel-2; i++) {
	/* Listing of all covariables in staement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1V2./
ij=Tvar[i];	ij=Tvar[i];
Ndum[ij]++;	Ndum[ij]++;
}	}

ij=1;	ij=1;
for (i=1; i<=10; i++) {	for (i=1; i<= maxncov; i++) {
if((Ndum[i]!=0) && (i<=ncovcol)){	if((Ndum[i]!=0) && (i<=ncovcol)){
Tvaraff[ij]=i;	Tvaraff[ij]=i; /For printing /
ij++;	ij++;
}	}
}	}

cptcoveff=ij-1;	cptcoveff=ij-1; /Number of simple covariates/
}	}

/********* Health Expectancies **************/	/********* Health Expectancies **************/
Line 1641 void evsij(char fileres[], double ***eij	Line 1891 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 1661 void evsij(char fileres[], double ***eij	Line 1911 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 1690 void evsij(char fileres[], double ***eij	Line 1940 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 1733 void evsij(char fileres[], double ***eij	Line 1983 void evsij(char fileres[], double ***eij
}	}
}	}
}	}
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 1741 void evsij(char fileres[], double ***eij	Line 1991 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 1783 void evsij(char fileres[], double ***eij	Line 2033 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 1819 void varevsij(char optionfilefiname[], d	Line 2069 void varevsij(char optionfilefiname[], d
double ***mobaverage;	double ***mobaverage;
int theta;	int theta;
char digit[4];	char digit[4];
char digitp[16];	char digitp[25];

char fileresprobmorprev[FILENAMELENGTH];	char fileresprobmorprev[FILENAMELENGTH];

if(popbased==1)	if(popbased==1){
strcpy(digitp,"-populbased-");	if(mobilav!=0)
else	strcpy(digitp,"-populbased-mobilav-");
	else strcpy(digitp,"-populbased-nomobil-");
	}
	else
strcpy(digitp,"-stablbased-");	strcpy(digitp,"-stablbased-");
if(mobilav==1)
strcat(digitp,"mobilav-");	if (mobilav!=0) {
else
strcat(digitp,"nomobil-");
if (mobilav==1) {
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
movingaverage(probs, bage, fage, mobaverage);	if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){
	fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
	printf(" Error in movingaverage mobilav=%d\n",mobilav);
	}
}	}

strcpy(fileresprobmorprev,"prmorprev");	strcpy(fileresprobmorprev,"prmorprev");
Line 1848 void varevsij(char optionfilefiname[], d	Line 2101 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 1870 void varevsij(char optionfilefiname[], d	Line 2123 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 (à 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 1905 void varevsij(char optionfilefiname[], d	Line 2158 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 1921 void varevsij(char optionfilefiname[], d	Line 2174 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);
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);	prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);

if (popbased==1) {	if (popbased==1) {
if(mobilav !=1){	if(mobilav ==0){
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
prlim[i][i]=probs[(int)age][i][ij];	prlim[i][i]=probs[(int)age][i][ij];
}else{ /* mobilav=1 */	}else{ /* mobilav */
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
prlim[i][i]=mobaverage[(int)age][i][ij];	prlim[i][i]=mobaverage[(int)age][i][ij];
}	}
Line 1943 void varevsij(char optionfilefiname[], d	Line 2196 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);

if (popbased==1) {	if (popbased==1) {
if(mobilav !=1){	if(mobilav ==0){
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
prlim[i][i]=probs[(int)age][i][ij];	prlim[i][i]=probs[(int)age][i][ij];
}else{ /* mobilav=1 */	}else{ /* mobilav */
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
prlim[i][i]=mobaverage[(int)age][i][ij];	prlim[i][i]=mobaverage[(int)age][i][ij];
}	}
Line 1971 void varevsij(char optionfilefiname[], d	Line 2227 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 1998 void varevsij(char optionfilefiname[], d	Line 2258 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 2013 void varevsij(char optionfilefiname[], d	Line 2274 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 2021 void varevsij(char optionfilefiname[], d	Line 2282 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);

if (popbased==1) {	if (popbased==1) {
if(mobilav !=1){	if(mobilav ==0){
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
prlim[i][i]=probs[(int)age][i][ij];	prlim[i][i]=probs[(int)age][i][ij];
}else{ /* mobilav=1 */	}else{ /* mobilav */
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
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 2069 void varevsij(char optionfilefiname[], d	Line 2334 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 2084 void varevsij(char optionfilefiname[], d	Line 2352 void varevsij(char optionfilefiname[], d
free_matrix(doldmp,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);	free_matrix(doldmp,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
free_matrix(dnewmp,nlstate+1,nlstate+ndeath,1,npar);	free_matrix(dnewmp,nlstate+1,nlstate+ndeath,1,npar);
free_matrix(varppt,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);	free_matrix(varppt,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
fclose(ficresprobmorprev);	fclose(ficresprobmorprev);
fclose(ficgp);	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 2106 void varprevlim(char fileres[], double *	Line 2373 void varprevlim(char fileres[], double *
double age,agelim;	double age,agelim;
int theta;	int theta;

fprintf(ficresvpl,"# Standard deviation of prevalence's limit\n");	fprintf(ficresvpl,"# Standard deviation of stable prevalences \n");
fprintf(ficresvpl,"# Age");	fprintf(ficresvpl,"# Age");
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
fprintf(ficresvpl," %1d-%1d",i,i);	fprintf(ficresvpl," %1d-%1d",i,i);
Line 2235 void varprob(char optionfilefiname[], do	Line 2502 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 2267 void varprob(char optionfilefiname[], do	Line 2535 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 2275 void varprob(char optionfilefiname[], do	Line 2542 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 2295 void varprob(char optionfilefiname[], do	Line 2561 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 2314 void varprob(char optionfilefiname[], do	Line 2580 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 2327 void varprob(char optionfilefiname[], do	Line 2593 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 2339 void varprob(char optionfilefiname[], do	Line 2605 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 2348 void varprob(char optionfilefiname[], do	Line 2614 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 2363 void varprob(char optionfilefiname[], do	Line 2633 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 2394 void varprob(char optionfilefiname[], do	Line 2664 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 2472 void varprob(char optionfilefiname[], do	Line 2742 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 2599 void printinggnuplot(char fileres[], dou	Line 2865 void printinggnuplot(char fileres[], dou
fprintf(ficlog,"Problem with file %s",optionfilegnuplot);	fprintf(ficlog,"Problem with file %s",optionfilegnuplot);
}	}

#ifdef windows	/#ifdef windows /
fprintf(ficgp,"cd \"%s\" \n",pathc);	fprintf(ficgp,"cd \"%s\" \n",pathc);
#endif	/#endif /
m=pow(2,cptcoveff);	m=pow(2,cptcoveff);

/* 1eme*/	/* 1eme*/
Line 2614 m=pow(2,cptcoveff);	Line 2880 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\"Stationary 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 2768 m=pow(2,cptcoveff);	Line 3034 m=pow(2,cptcoveff);


/************* Moving average ************/	/************* Moving average ************/
void movingaverage(double *probs, double bage,double fage, double *mobaverage){	int movingaverage(double *probs, double bage,double fage, double *mobaverage, int mobilav){

int i, cpt, cptcod;	int i, cpt, cptcod;
	int modcovmax =1;
	int mobilavrange, mob;
double age;	double age;
for (age=bage; age<=fage; age++)
for (i=1; i<=nlstate;i++)	modcovmax=2cptcoveff;/ Max number of modalities. We suppose
for (cptcod=1;cptcod<=ncodemax[cptcov];cptcod++)	a covariate has 2 modalities */
mobaverage[(int)age][i][cptcod]=0.;	if (cptcovn<1) modcovmax=1; /* At least 1 pass */

for (age=bage+4; age<=fage; age++){	if(mobilav==1\|\|mobilav ==3 \|\|mobilav==5 \|\|mobilav== 7){
for (i=1; i<=nlstate;i++){	if(mobilav==1) mobilavrange=5; /* default */
for (cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){	else mobilavrange=mobilav;
for (cpt=0;cpt<=4;cpt++){	for (age=bage; age<=fage; age++)
mobaverage[(int)age-2][i][cptcod]=mobaverage[(int)age-2][i][cptcod]+probs[(int)age-cpt][i][cptcod];	for (i=1; i<=nlstate;i++)
	for (cptcod=1;cptcod<=modcovmax;cptcod++)
	mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod];
	/* We keep the original values on the extreme ages bage, fage and for
	fage+1 and bage-1 we use a 3 terms moving average; for fage+2 bage+2
	we use a 5 terms etc. until the borders are no more concerned.
	*/
	for (mob=3;mob <=mobilavrange;mob=mob+2){
	for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){
	for (i=1; i<=nlstate;i++){
	for (cptcod=1;cptcod<=modcovmax;cptcod++){
	mobaverage[(int)age][i][cptcod] =probs[(int)age][i][cptcod];
	for (cpt=1;cpt<=(mob-1)/2;cpt++){
	mobaverage[(int)age][i][cptcod] +=probs[(int)age-cpt][i][cptcod];
	mobaverage[(int)age][i][cptcod] +=probs[(int)age+cpt][i][cptcod];
	}
	mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/mob;
	}
}	}
mobaverage[(int)age-2][i][cptcod]=mobaverage[(int)age-2][i][cptcod]/5;	}/* end age */
}	}/* end mob */
}	}else return -1;
}	return 0;
	}/* End movingaverage */
}


/************ 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;
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 2818 calagedate=(anproj1+mproj1/12.+jproj1/36	Line 3105 calagedate=(anproj1+mproj1/12.+jproj1/36

if (cptcoveff==0) ncodemax[cptcoveff]=1;	if (cptcoveff==0) ncodemax[cptcoveff]=1;

if (mobilav==1) {	if (mobilav!=0) {
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
movingaverage(probs, ageminpar,fage, mobaverage);	if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){
	fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
	printf(" Error in movingaverage mobilav=%d\n",mobilav);
	}
}	}

stepsize=(int) (stepm+YEARM-1)/YEARM;	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 2838 calagedate=(anproj1+mproj1/12.+jproj1/36	Line 3130 calagedate=(anproj1+mproj1/12.+jproj1/36
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");

	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 (h==(int) (YEARM*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 (h==(int)(YEARM*yearp))
	fprintf(ficresf," %.3f", p3mat[i][j][h]);
}	}
if (h==(int)(calagedate+12*cpt)){	if (h==(int)(YEARM*yearp)){
fprintf(ficresf," %.3f", kk1);	fprintf(ficresf," %.3f", ppij);

}	}
}	}
}	}
Line 2891 calagedate=(anproj1+mproj1/12.+jproj1/36	Line 3192 calagedate=(anproj1+mproj1/12.+jproj1/36
}	}
}	}

if (mobilav==1) 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;
char filerespop[FILENAMELENGTH];	char filerespop[FILENAMELENGTH];

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 2924 populforecast(char fileres[], double anp	Line 3227 populforecast(char fileres[], double anp

if (cptcoveff==0) ncodemax[cptcoveff]=1;	if (cptcoveff==0) ncodemax[cptcoveff]=1;

if (mobilav==1) {	if (mobilav!=0) {
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
movingaverage(probs, ageminpar, fage, mobaverage);	if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){
	fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
	printf(" Error in movingaverage mobilav=%d\n",mobilav);
	}
}	}

stepsize=(int) (stepm+YEARM-1)/YEARM;	stepsize=(int) (stepm+YEARM-1)/YEARM;
Line 2953 populforecast(char fileres[], double anp	Line 3259 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 2968 populforecast(char fileres[], double anp	Line 3274 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 2977 populforecast(char fileres[], double anp	Line 3283 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 2989 populforecast(char fileres[], double anp	Line 3295 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 3000 populforecast(char fileres[], double anp	Line 3306 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 3014 populforecast(char fileres[], double anp	Line 3320 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 3022 populforecast(char fileres[], double anp	Line 3328 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 3030 populforecast(char fileres[], double anp	Line 3336 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 3039 populforecast(char fileres[], double anp	Line 3345 populforecast(char fileres[], double anp
}	}
}	}

if (mobilav==1) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);

if (popforecast==1) {	if (popforecast==1) {
free_ivector(popage,0,AGESUP);	free_ivector(popage,0,AGESUP);
Line 3057 populforecast(char fileres[], double anp	Line 3363 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 3076 int main(int argc, char *argv[])	Line 3382 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 3094 int main(int argc, char *argv[])	Line 3402 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 3106 int main(int argc, char *argv[])	Line 3413 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",version);
Line 3125 int main(int argc, char *argv[])	Line 3432 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 3177 int main(int argc, char *argv[])	Line 3484 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 3187 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3494 while((c=getc(ficpar))=='#' && c!= EOF){


covar=matrix(0,NCOVMAX,1,n);	covar=matrix(0,NCOVMAX,1,n);
cptcovn=0;	cptcovn=0; /Number of covariates, i.e. number of '+' in model statement/
if (strlen(model)>1) cptcovn=nbocc(model,'+')+1;	if (strlen(model)>1) cptcovn=nbocc(model,'+')+1;

ncovmodel=2+cptcovn;	ncovmodel=2+cptcovn; /Number of variables = cptcovn + intercept + age /
nvar=ncovmodel-1; /* Suppressing age as a basic covariate */	nvar=ncovmodel-1; /* Suppressing age as a basic covariate */

/* Read guess parameters */	/* Read guess parameters */
Line 3204 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3511 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 3228 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3535 while((c=getc(ficpar))=='#' && c!= EOF){
fprintf(ficparo,"\n");	fprintf(ficparo,"\n");
}	}

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

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

Line 3242 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3549 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 3259 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3566 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 3301 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3611 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 3379 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3688 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 3387 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3700 while((c=getc(ficpar))=='#' && c!= EOF){
Tvard=imatrix(1,15,1,2);	Tvard=imatrix(1,15,1,2);
Tage=ivector(1,15);	Tage=ivector(1,15);

if (strlen(model) >1){	if (strlen(model) >1){ /* If there is at least 1 covariate */
j=0, j1=0, k1=1, k2=1;	j=0, j1=0, k1=1, k2=1;
j=nbocc(model,'+');	j=nbocc(model,'+'); /* j=Number of '+' */
j1=nbocc(model,'*');	j1=nbocc(model,''); / j1=Number of '' /
cptcovn=j+1;	cptcovn=j+1;
cptcovprod=j1;	cptcovprod=j1; /Number of products /

strcpy(modelsav,model);	strcpy(modelsav,model);
if ((strcmp(model,"age")==0) \|\| (strcmp(model,"age*age")==0)){	if ((strcmp(model,"age")==0) \|\| (strcmp(model,"age*age")==0)){
Line 3401 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3714 while((c=getc(ficpar))=='#' && c!= EOF){
goto end;	goto end;
}	}

	/* 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 3450 while((c=getc(ficpar))=='#' && c!= EOF){	Line 3765 while((c=getc(ficpar))=='#' && c!= EOF){
} /* end of loop + */	} /* end of loop + */
} /* end model */	} /* end model */

	/*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products.
	If model=V1+V1age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0/

/* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]);	/* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]);
printf("cptcovprod=%d ", cptcovprod);	printf("cptcovprod=%d ", cptcovprod);
fprintf(ficlog,"cptcovprod=%d ", cptcovprod);	fprintf(ficlog,"cptcovprod=%d ", cptcovprod);
scanf("%d ",i);*/
fclose(fic);	scanf("%d ",i);
	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 ((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(moisdc[i]==99 && andc[i]==9999 & s[m][i]>nlstate) 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(moisdc[i]!=99 && 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 (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(mint[m][i]==99 \|\| 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 */

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);	codtab=imatrix(1,100,1,10); /* Cross tabulation to get the order of
h=0;	the estimations*/
m=pow(2,cptcoveff);	h=0;
	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 3731 printf("Total number of individuals= %d,	Line 4064 printf("Total number of individuals= %d,
}	}
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 3748 while((c=getc(ficpar))=='#' && c!= EOF){	Line 4083 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);
/------------ gnuplot -------------/	freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);

	/------------ 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{
	fprintf(ficgp,"\n# %s\n", version);
	fprintf(ficgp,"# %s\n", optionfilegnuplot);
	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 3775 Interval (in months) between two waves:	Line 4117 Interval (in months) between two waves:
- 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,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 --------------/	/--------------- Prevalence limit (stable prevalence) --------------/

strcpy(filerespl,"pl");	strcpy(filerespl,"pl");
strcat(filerespl,fileres);	strcat(filerespl,fileres);
if((ficrespl=fopen(filerespl,"w"))==NULL) {	if((ficrespl=fopen(filerespl,"w"))==NULL) {
printf("Problem with Prev limit resultfile: %s\n", filerespl);goto end;	printf("Problem with stable prevalence resultfile: %s\n", filerespl);goto end;
fprintf(ficlog,"Problem with Prev limit resultfile: %s\n", filerespl);goto end;	fprintf(ficlog,"Problem with stable prevalence resultfile: %s\n", filerespl);goto end;
}	}
printf("Computing prevalence limit: result on file '%s' \n", filerespl);	printf("Computing stable prevalence: result on file '%s' \n", filerespl);
fprintf(ficlog,"Computing prevalence limit: result on file '%s' \n", filerespl);	fprintf(ficlog,"Computing stable prevalence: result on file '%s' \n", filerespl);
fprintf(ficrespl,"#Prevalence limit\n");	fprintf(ficrespl,"#Stable prevalence \n");
fprintf(ficrespl,"#Age ");	fprintf(ficrespl,"#Age ");
for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);	for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);
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 3866 Interval (in months) between two waves:	Line 4207 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 3948 Interval (in months) between two waves:	Line 4292 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;
prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate);	/* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */
if (mobilav==1) {	prevalence(agemin, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
	/* printf("ageminpar=%f, agemax=%f, s[lastpass][imx]=%d, agev[lastpass][imx]=%f, nlstate=%d, imx=%d, mint[lastpass][imx]=%f, anint[lastpass][imx]=%f,dateprev1=%f, dateprev2=%f, firstpass=%d, lastpass=%d\n",\
	ageminpar, agemax, s[lastpass][imx], agev[lastpass][imx], nlstate, imx, mint[lastpass][imx],anint[lastpass][imx], dateprev1, dateprev2, firstpass, lastpass);
	*/

	if (mobilav!=0) {
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
movingaverage(probs, ageminpar, fage, mobaverage);	if (movingaverage(probs, bage, fage, mobaverage,mobilav)!=0){
	fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
	printf(" Error in movingaverage mobilav=%d\n",mobilav);
	}
}	}

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 3983 Interval (in months) between two waves:	Line 4334 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 3994 Interval (in months) between two waves:	Line 4345 Interval (in months) between two waves:
for(age=bage; age <=fage ;age++){	for(age=bage; age <=fage ;age++){
prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);	prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
if (popbased==1) {	if (popbased==1) {
if(mobilav !=1){	if(mobilav ==0){
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
prlim[i][i]=probs[(int)age][i][k];	prlim[i][i]=probs[(int)age][i][k];
}else{ /* mobilav=1 */	}else{ /* mobilav */
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
prlim[i][i]=mobaverage[(int)age][i][k];	prlim[i][i]=mobaverage[(int)age][i][k];
}	}
Line 4021 Interval (in months) between two waves:	Line 4372 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 limit prevalence------/	/------- Variance of stable prevalence------/

strcpy(fileresvpl,"vpl");	strcpy(fileresvpl,"vpl");
strcat(fileresvpl,fileres);	strcat(fileresvpl,fileres);
if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {	if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {
printf("Problem with variance prev lim resultfile: %s\n", fileresvpl);	printf("Problem with variance of stable prevalence resultfile: %s\n", fileresvpl);
exit(0);	exit(0);
}	}
printf("Computing Variance-covariance of Prevalence limit: 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 4053 free_matrix(mint,1,maxwav,1,n);	Line 4409 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==1) 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 4097 free_matrix(mint,1,maxwav,1,n);	Line 4457 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 4106 free_matrix(mint,1,maxwav,1,n);	Line 4465 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);
system(plotcmd);	printf("Starting: %s\n",plotcmd);fflush(stdout);
	system(plotcmd);

#ifdef windows	/#ifdef windows/
while (z[0] != 'q') {	while (z[0] != 'q') {
/* chdir(path); */	/* chdir(path); */
printf("\nType e to edit output files, g to graph again, c to start again, and q for exiting: ");	printf("\nType e to edit output files, g to graph again, c to start again, and q for exiting: ");
Line 4121 free_matrix(mint,1,maxwav,1,n);	Line 4481 free_matrix(mint,1,maxwav,1,n);
else if (z[0] == 'g') system(plotcmd);	else if (z[0] == 'g') system(plotcmd);
else if (z[0] == 'q') exit(0);	else if (z[0] == 'q') exit(0);
}	}
#endif	/#endif /
}	}

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Removed from v.1.53
changed lines
	Added in v.1.74