imach/src/imach.c - diff

Return to imach.c CVS log

Up to [Local Repository] / imach / src

Diff for /imach/src/imach.c between versions 1.196 and 1.204

version 1.196, 2015/08/18 23:17:52	version 1.204, 2015/10/01 16:20:26
Line 1	Line 1
/* $Id$	/* $Id$
$State$	$State$
$Log$	$Log$
	Revision 1.204 2015/10/01 16:20:26 brouard
	Summary: Some new graphs of contribution to likelihood

	Revision 1.203 2015/09/30 17:45:14 brouard
	Summary: looking at better estimation of the hessian

	Also a better criteria for convergence to the period prevalence And
	therefore adding the number of years needed to converge. (The
	prevalence in any alive state shold sum to one

	Revision 1.202 2015/09/22 19:45:16 brouard
	Summary: Adding some overall graph on contribution to likelihood. Might change

	Revision 1.201 2015/09/15 17:34:58 brouard
	Summary: 0.98r0

	- Some new graphs like suvival functions
	- Some bugs fixed like model=1+age+V2.

	Revision 1.200 2015/09/09 16:53:55 brouard
	Summary: Big bug thanks to Flavia

	Even model=1+age+V2. did not work anymore

	Revision 1.199 2015/09/07 14:09:23 brouard
	Summary: 0.98q6 changing default small png format for graph to vectorized svg.

	Revision 1.198 2015/09/03 07:14:39 brouard
	Summary: 0.98q5 Flavia

	Revision 1.197 2015/09/01 18:24:39 brouard
	* empty log message *

Revision 1.196 2015/08/18 23:17:52 brouard	Revision 1.196 2015/08/18 23:17:52 brouard
Summary: 0.98q5	Summary: 0.98q5

Line 624	Line 657

/* #define DEBUG */	/* #define DEBUG */
/* #define DEBUGBRENT */	/* #define DEBUGBRENT */
	/* #define DEBUGLINMIN */
	/* #define DEBUGHESS */
	#define DEBUGHESSIJ
	/* #define LINMINORIGINAL /\* Don't use loop on scale in linmin (accepting nan)\/ /
#define POWELL /* Instead of NLOPT */	#define POWELL /* Instead of NLOPT */
#define POWELLF1F3 /* Skip test */	#define POWELLF1F3 /* Skip test */
/* #define POWELLORIGINAL /\* Don't use Directest to decide new direction but original Powell test \/ /	/* #define POWELLORIGINAL /\* Don't use Directest to decide new direction but original Powell test \/ /
Line 694 typedef struct {	Line 731 typedef struct {
#define NLSTATEMAX 8 /*< Maximum number of live states (for func) /	#define NLSTATEMAX 8 /*< Maximum number of live states (for func) /
#define NDEATHMAX 8 /*< Maximum number of dead states (for func) /	#define NDEATHMAX 8 /*< Maximum number of dead states (for func) /
#define NCOVMAX 20 /*< Maximum number of covariates, including generated covariates V1V2 */	#define NCOVMAX 20 /*< Maximum number of covariates, including generated covariates V1V2 */
#define codtabm(h,k) 1 & (h-1) >> (k-1) ;	#define codtabm(h,k) (1 & (h-1) >> (k-1))+1
#define MAXN 20000	#define MAXN 20000
#define YEARM 12. /*< Number of months per year /	#define YEARM 12. /*< Number of months per year /
#define AGESUP 130	#define AGESUP 130
Line 715 typedef struct {	Line 752 typedef struct {
/* $State$ */	/* $State$ */
#include "version.h"	#include "version.h"
char version[]=__IMACH_VERSION__;	char version[]=__IMACH_VERSION__;
char copyright[]="August 2015,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015";	char copyright[]="October 2015,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015";
char fullversion[]="$Revision$ $Date$";	char fullversion[]="$Revision$ $Date$";
char strstart[80];	char strstart[80];
char optionfilext[10], optionfilefiname[FILENAMELENGTH];	char optionfilext[10], optionfilefiname[FILENAMELENGTH];
Line 782 char command[FILENAMELENGTH];	Line 819 char command[FILENAMELENGTH];
int outcmd=0;	int outcmd=0;

char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];	char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];
	char fileresu[FILENAMELENGTH]; /* fileres without r in front */
char filelog[FILENAMELENGTH]; /* Log file */	char filelog[FILENAMELENGTH]; /* Log file */
char filerest[FILENAMELENGTH];	char filerest[FILENAMELENGTH];
char fileregp[FILENAMELENGTH];	char fileregp[FILENAMELENGTH];
Line 850 int estepm;	Line 887 int estepm;

int m,nb;	int m,nb;
long *num;	long *num;
int firstpass=0, lastpass=4,cod, Tage,*cens;	int firstpass=0, lastpass=4,cod, cens;
int ncodemax; / ncodemax[j]= Number of modalities of the j th	int ncodemax; / ncodemax[j]= Number of modalities of the j th
covariate for which somebody answered excluding	covariate for which somebody answered excluding
undefined. Usually 2: 0 and 1. */	undefined. Usually 2: 0 and 1. */
Line 870 double covar; /< covar[j,i], value	Line 907 double covar; /< covar[j,i], value
* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]age; /	* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]age; /
double idx;	double idx;
int *nbcode, Tvar; /*< model=V2 => Tvar[1]= 2 /	int *nbcode, Tvar; /*< model=V2 => Tvar[1]= 2 /
	int *Tage;
int Ndum; /* Freq of modality (tricode */	int Ndum; /* Freq of modality (tricode */
int codtab; /< codtab=imatrix(1,100,1,10); */	/* int *codtab;/ /*< codtab=imatrix(1,100,1,10); /
int *Tvard, Tprod, cptcovprod, *Tvaraff;	int *Tvard, Tprod, cptcovprod, *Tvaraff;
double lsurv, lpop, *tpop;	double lsurv, lpop, *tpop;

Line 1577 void linmin(double p[], double xi[], int	Line 1615 void linmin(double p[], double xi[], int
double xx,xmin,bx,ax;	double xx,xmin,bx,ax;
double fx,fb,fa;	double fx,fb,fa;

double scale=10., axs, xxs, xxss; /* Scale added for infinity */	#ifdef LINMINORIGINAL
	#else
	double scale=10., axs, xxs; /* Scale added for infinity */
	#endif

ncom=n;	ncom=n;
pcom=vector(1,n);	pcom=vector(1,n);
xicom=vector(1,n);	xicom=vector(1,n);
nrfunc=func;	nrfunc=func;
for (j=1;j<=n;j++) {	for (j=1;j<=n;j++) {
pcom[j]=p[j];	pcom[j]=p[j];
xicom[j]=xi[j];	xicom[j]=xi[j]; /* Former scale xi[j] of currrent direction i */
}	}

/* axs=0.0; */	#ifdef LINMINORIGINAL
/* xxss=1; /\* 1 and using scale \/ /	xx=1.;
xxs=1;	#else
/* do{ */	axs=0.0;
ax=0.;	xxs=1.;
	do{
xx= xxs;	xx= xxs;
	#endif
	ax=0.;
mnbrak(&ax,&xx,&bx,&fa,&fx,&fb,f1dim); /* Outputs: xtx[j]=pcom[j]+(xx)xicom[j]; fx=f(xtx[j]) */	mnbrak(&ax,&xx,&bx,&fa,&fx,&fb,f1dim); /* Outputs: xtx[j]=pcom[j]+(xx)xicom[j]; fx=f(xtx[j]) */
/* brackets with inputs ax=0 and xx=1, but points, pcom=p, and directions values, xicom=xi, are sent via f1dim(x) */	/* brackets with inputs ax=0 and xx=1, but points, pcom=p, and directions values, xicom=xi, are sent via f1dim(x) */
/* xt[x,j]=pcom[j]+xxicom[j] f(ax) = f(xt(a,j=1,n)) = f(p(j) + 0 xi(j)) and f(xx) = f(xt(x, j=1,n)) = f(p(j) + 1 * xi(j)) */	/* xt[x,j]=pcom[j]+xxicom[j] f(ax) = f(xt(a,j=1,n)) = f(p(j) + 0 xi(j)) and f(xx) = f(xt(x, j=1,n)) = f(p(j) + 1 * xi(j)) */
Line 1601 void linmin(double p[], double xi[], int	Line 1645 void linmin(double p[], double xi[], int
/* Given input ax=axs and xx=xxs, xx might be too far from ax to get a finite f(xx) */	/* Given input ax=axs and xx=xxs, xx might be too far from ax to get a finite f(xx) */
/* Searches on line, outputs (ax, xx, bx) such that fx < min(fa and fb) */	/* Searches on line, outputs (ax, xx, bx) such that fx < min(fa and fb) */
/* Find a bracket a,x,b in direction n=xi ie xicom, order may change. Scale is [0:xxsxi[j]] et non plus [0:xi[j]]/	/* Find a bracket a,x,b in direction n=xi ie xicom, order may change. Scale is [0:xxsxi[j]] et non plus [0:xi[j]]/
/* if (fx != fx){ */	#ifdef LINMINORIGINAL
/* xxs=xxs/scale; /\* Trying a smaller xx, closer to initial ax=0 \/ /	#else
/* printf("\nLinmin NAN : input [axs=%lf:xxs=%lf], mnbrak outputs fx=%lf <(fb=%lf and fa=%lf) with xx=%lf in [ax=%lf:bx=%lf] \n", axs, xxs, fx,fb, fa, xx, ax, bx); */	if (fx != fx){
/* } */	xxs=xxs/scale; /* Trying a smaller xx, closer to initial ax=0 */
/* }while(fx != fx); */	printf("\|");
	fprintf(ficlog,"\|");
	#ifdef DEBUGLINMIN
	printf("\nLinmin NAN : input [axs=%lf:xxs=%lf], mnbrak outputs fx=%lf <(fb=%lf and fa=%lf) with xx=%lf in [ax=%lf:bx=%lf] \n", axs, xxs, fx,fb, fa, xx, ax, bx);
	#endif
	}
	}while(fx != fx);
	#endif

#ifdef DEBUGLINMIN	#ifdef DEBUGLINMIN
printf("\nLinmin after mnbrak: ax=%12.7f xx=%12.7f bx=%12.7f fa=%12.2f fx=%12.2f fb=%12.2f\n", ax,xx,bx,fa,fx,fb);	printf("\nLinmin after mnbrak: ax=%12.7f xx=%12.7f bx=%12.7f fa=%12.2f fx=%12.2f fb=%12.2f\n", ax,xx,bx,fa,fx,fb);
	fprintf(ficlog,"\nLinmin after mnbrak: ax=%12.7f xx=%12.7f bx=%12.7f fa=%12.2f fx=%12.2f fb=%12.2f\n", ax,xx,bx,fa,fx,fb);
#endif	#endif
fret=brent(ax,xx,bx,f1dim,TOL,&xmin); / Giving a bracketting triplet (ax, xx, bx), find a minimum, xmin, according to f1dim, fret(xmin),/	fret=brent(ax,xx,bx,f1dim,TOL,&xmin); / Giving a bracketting triplet (ax, xx, bx), find a minimum, xmin, according to f1dim, fret(xmin),/
/* fa = f(p[j] + ax * xi[j]), fx = f(p[j] + xx * xi[j]), fb = f(p[j] + bx * xi[j]) */	/* fa = f(p[j] + ax * xi[j]), fx = f(p[j] + xx * xi[j]), fb = f(p[j] + bx * xi[j]) */
Line 1621 void linmin(double p[], double xi[], int	Line 1673 void linmin(double p[], double xi[], int
#endif	#endif
#ifdef DEBUGLINMIN	#ifdef DEBUGLINMIN
printf("linmin end ");	printf("linmin end ");
	fprintf(ficlog,"linmin end ");
#endif	#endif
for (j=1;j<=n;j++) {	for (j=1;j<=n;j++) {
/* printf(" before xi[%d]=%12.8f", j,xi[j]); */	#ifdef LINMINORIGINAL
xi[j] = xmin; / xi rescaled by xmin: if xmin=-1.237 and xi=(1,0,...,0) xi=(-1.237,0,...,0) */	xi[j] *= xmin;
/* if(xxs <1.0) */	#else
/* printf(" after xi[%d]=%12.8f, xmin=%12.8f, ax=%12.8f, xx=%12.8f, bx=%12.8f, xxs=%12.8f", j,xi[j], xmin, ax, xx, bx,xxs ); */	#ifdef DEBUGLINMIN
	if(xxs <1.0)
	printf(" before xi[%d]=%12.8f", j,xi[j]);
	#endif
	xi[j] = xminxxs; /* xi rescaled by xmin and number of loops: if xmin=-1.237 and xi=(1,0,...,0) xi=(-1.237,0,...,0) */
	#ifdef DEBUGLINMIN
	if(xxs <1.0)
	printf(" after xi[%d]=%12.8f, xmin=%12.8f, ax=%12.8f, xx=%12.8f, bx=%12.8f, xxs=%12.8f", j,xi[j], xmin, ax, xx, bx,xxs );
	#endif
	#endif
p[j] += xi[j]; /* Parameters values are updated accordingly */	p[j] += xi[j]; /* Parameters values are updated accordingly */
}	}
/* printf("\n"); */
#ifdef DEBUGLINMIN	#ifdef DEBUGLINMIN
	printf("\n");
printf("Comparing last frec(xmin=%12.8f)=%12.8f from Brent and frec(0.)=%12.8f \n", xmin, fret, (*func)(p));	printf("Comparing last frec(xmin=%12.8f)=%12.8f from Brent and frec(0.)=%12.8f \n", xmin, fret, (*func)(p));
	fprintf(ficlog,"Comparing last frec(xmin=%12.8f)=%12.8f from Brent and frec(0.)=%12.8f \n", xmin, fret, (*func)(p));
for (j=1;j<=n;j++) {	for (j=1;j<=n;j++) {
printf(" xi[%d]= %12.7f p[%d]= %12.7f",j,xi[j],j,p[j]);	printf(" xi[%d]= %14.10f p[%d]= %12.7f",j,xi[j],j,p[j]);
if(j % ncovmodel == 0)	fprintf(ficlog," xi[%d]= %14.10f p[%d]= %12.7f",j,xi[j],j,p[j]);
	if(j % ncovmodel == 0){
printf("\n");	printf("\n");
	fprintf(ficlog,"\n");
	}
}	}
	#else
#endif	#endif
free_vector(xicom,1,n);	free_vector(xicom,1,n);
free_vector(pcom,1,n);	free_vector(pcom,1,n);
Line 1670 void powell(double p[], double **xi, int	Line 1737 void powell(double p[], double **xi, int
xits=vector(1,n);	xits=vector(1,n);
fret=(func)(p);	fret=(func)(p);
for (j=1;j<=n;j++) pt[j]=p[j];	for (j=1;j<=n;j++) pt[j]=p[j];
rcurr_time = time(NULL);	rcurr_time = time(NULL);
for (iter=1;;++(iter)) {	for (iter=1;;++(iter)) {
fp=(fret); / From former iteration or initial value */	fp=(fret); / From former iteration or initial value */
ibig=0;	ibig=0;
Line 1714 void powell(double p[], double **xi, int	Line 1781 void powell(double p[], double **xi, int
for (j=1;j<=n;j++) xit[j]=xi[j][i]; /* Directions stored from previous iteration with previous scales */	for (j=1;j<=n;j++) xit[j]=xi[j][i]; /* Directions stored from previous iteration with previous scales */
fptt=(*fret);	fptt=(*fret);
#ifdef DEBUG	#ifdef DEBUG
printf("fret=%lf, %lf, %lf \n", fret, fret, *fret);	printf("fret=%lf, %lf, %lf \n", fret, fret, *fret);
fprintf(ficlog, "fret=%lf, %lf, %lf \n", fret, fret, *fret);	fprintf(ficlog, "fret=%lf, %lf, %lf \n", fret, fret, *fret);
#endif	#endif
printf("%d",i);fflush(stdout); /* print direction (parameter) i */	printf("%d",i);fflush(stdout); /* print direction (parameter) i */
fprintf(ficlog,"%d",i);fflush(ficlog);	fprintf(ficlog,"%d",i);fflush(ficlog);
linmin(p,xit,n,fret,func); /* Point p[n]. xit[n] has been loaded for direction i as input.*/	linmin(p,xit,n,fret,func); /* Point p[n]. xit[n] has been loaded for direction i as input.*/
/* Outputs are fret(new point p) p is updated and xit rescaled */	/* Outputs are fret(new point p) p is updated and xit rescaled */
Line 1815 void powell(double p[], double **xi, int	Line 1882 void powell(double p[], double **xi, int
t=2.0(fp-2.0(fret)+fptt)SQR(fp-(fret)-del); / Intel compiler doesn't work on one line; bug reported */	t=2.0(fp-2.0(fret)+fptt)SQR(fp-(fret)-del); / Intel compiler doesn't work on one line; bug reported */
t= t- del*SQR(fp-fptt);	t= t- del*SQR(fp-fptt);
#endif	#endif
directest = fp-2.0(fret)+fptt - 2.0 * del; /* If del was big enough we change it for a new direction */	directest = fp-2.0(fret)+fptt - 2.0 * del; /* If delta was big enough we change it for a new direction */
#ifdef DEBUG	#ifdef DEBUG
printf("t1= %.12lf, t2= %.12lf, t=%.12lf directest=%.12lf\n", 2.0(fp-2.0(fret)+fptt)SQR(fp-(fret)-del),delSQR(fp-fptt),t,directest);	printf("t1= %.12lf, t2= %.12lf, t=%.12lf directest=%.12lf\n", 2.0(fp-2.0(fret)+fptt)SQR(fp-(fret)-del),delSQR(fp-fptt),t,directest);
fprintf(ficlog,"t1= %.12lf, t2= %.12lf, t=%.12lf directest=%.12lf\n", 2.0(fp-2.0(fret)+fptt)SQR(fp-(fret)-del),delSQR(fp-fptt),t,directest);	fprintf(ficlog,"t1= %.12lf, t2= %.12lf, t=%.12lf directest=%.12lf\n", 2.0(fp-2.0(fret)+fptt)SQR(fp-(fret)-del),delSQR(fp-fptt),t,directest);
Line 1830 void powell(double p[], double **xi, int	Line 1897 void powell(double p[], double **xi, int
if (t < 0.0) { /* Then we use it for new direction */	if (t < 0.0) { /* Then we use it for new direction */
#else	#else
if (directestt < 0.0) { / Contradiction between both tests */	if (directestt < 0.0) { / Contradiction between both tests */
printf("directest= %.12lf, t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt,del);	printf("directest= %.12lf (if <0 we include P0 Pn as new direction), t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt,del);
printf("f1-2f2+f3= %.12lf, f1-f2-del= %.12lf, f1-f3= %.12lf\n",fp-2.0(fret)+fptt, fp -(*fret) -del, fp-fptt);	printf("f1-2f2+f3= %.12lf, f1-f2-del= %.12lf, f1-f3= %.12lf\n",fp-2.0(fret)+fptt, fp -(*fret) -del, fp-fptt);
fprintf(ficlog,"directest= %.12lf, t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt, del);	fprintf(ficlog,"directest= %.12lf (if <0 we include P0 Pn as new direction), t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt, del);
fprintf(ficlog,"f1-2f2+f3= %.12lf, f1-f2-del= %.12lf, f1-f3= %.12lf\n",fp-2.0(fret)+fptt, fp -(*fret) -del, fp-fptt);	fprintf(ficlog,"f1-2f2+f3= %.12lf, f1-f2-del= %.12lf, f1-f3= %.12lf\n",fp-2.0(fret)+fptt, fp -(*fret) -del, fp-fptt);
}	}
if (directest < 0.0) { /* Then we use it for new direction */	if (directest < 0.0) { /* Then we use it for new direction */
Line 1840 void powell(double p[], double **xi, int	Line 1907 void powell(double p[], double **xi, int
#ifdef DEBUGLINMIN	#ifdef DEBUGLINMIN
printf("Before linmin in direction P%d-P0\n",n);	printf("Before linmin in direction P%d-P0\n",n);
for (j=1;j<=n;j++) {	for (j=1;j<=n;j++) {
printf("Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);	printf(" Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
if(j % ncovmodel == 0)	fprintf(ficlog," Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
	if(j % ncovmodel == 0){
printf("\n");	printf("\n");
	fprintf(ficlog,"\n");
	}
}	}
#endif	#endif
linmin(p,xit,n,fret,func); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/	linmin(p,xit,n,fret,func); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/
#ifdef DEBUGLINMIN	#ifdef DEBUGLINMIN
for (j=1;j<=n;j++) {	for (j=1;j<=n;j++) {
printf("After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);	printf("After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
if(j % ncovmodel == 0)	fprintf(ficlog,"After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
	if(j % ncovmodel == 0){
printf("\n");	printf("\n");
	fprintf(ficlog,"\n");
	}
}	}
#endif	#endif
for (j=1;j<=n;j++) {	for (j=1;j<=n;j++) {
Line 1880 void powell(double p[], double **xi, int	Line 1953 void powell(double p[], double **xi, int

/** Prevalence limit (stable or period prevalence) **************/	/** Prevalence limit (stable or period 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 *ncvyear, int ij)
{	{
/* Computes the prevalence limit in each live state at age x by left multiplying the unit	/* Computes the prevalence limit in each live state at age x by left multiplying the unit
matrix by transitions matrix until convergence is reached */	matrix by transitions matrix until convergence is reached with precision ftolpl */

int i, ii,j,k;	int i, ii,j,k;
double min, max, maxmin, maxmax,sumnew=0.;	double min, max, maxmin, maxmax,sumnew=0.;
/* double *matprod2(); / /* test */	/* double *matprod2(); / /* test */
double out, cov[NCOVMAX+1], pmij();	double out, cov[NCOVMAX+1], pmij();
double **newm;	double **newm;
double agefin, delaymax=50 ; /* Max number of years to converge */	double agefin, delaymax=100 ; /* Max number of years to converge */
	int ncvloop=0;

for (ii=1;ii<=nlstate+ndeath;ii++)	for (ii=1;ii<=nlstate+ndeath;ii++)
for (j=1;j<=nlstate+ndeath;j++){	for (j=1;j<=nlstate+ndeath;j++){
Line 1900 double prevalim(double prlim, int nl	Line 1974 double prevalim(double prlim, int nl
cov[1]=1.;	cov[1]=1.;

/* Even if hstepm = 1, at least one multiplication by the unit matrix */	/* Even if hstepm = 1, at least one multiplication by the unit matrix */
	/* Start at agefin= age, computes the matrix of passage and loops decreasing agefin until convergence is reached */
for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){	for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){
	ncvloop++;
newm=savm;	newm=savm;
/* Covariates have to be included here again */	/* Covariates have to be included here again */
cov[2]=agefin;	cov[2]=agefin;
if(nagesqr==1)	if(nagesqr==1)
cov[3]= agefin*agefin;;	cov[3]= agefin*agefin;;
for (k=1; k<=cptcovn;k++) {	for (k=1; k<=cptcovn;k++) {
cov[2+nagesqr+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];	/* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */
/printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtab[%d][Tvar[%d]]=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k], ij, k, codtab[ij][Tvar[k]]);/	cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)];
	/* printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtabm(ij,Tvar[k])],cov[2+k], ij, k, codtabm(ij,Tvar[k])]); */
}	}
/wrong? for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; */	/wrong? for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; */
for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]*cov[2];	/* for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]cov[2]; /
	for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,k)]*cov[2];
for (k=1; k<=cptcovprod;k++) /* Useless */	for (k=1; k<=cptcovprod;k++) /* Useless */
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]] * nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */
	cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)];

/printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);/	/printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);/
/printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);/	/printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);/
Line 1932 double prevalim(double prlim, int nl	Line 2011 double prevalim(double prlim, int nl
sumnew=0;	sumnew=0;
for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];	for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];
prlim[i][j]= newm[i][j]/(1-sumnew);	prlim[i][j]= newm[i][j]/(1-sumnew);
/printf(" prevalim i=%d, j=%d, prmlim[%d][%d]=%f, agefin=%d \n", i, j, i, j, prlim[i][j],(int)agefin);/
max=FMAX(max,prlim[i][j]);	max=FMAX(max,prlim[i][j]);
min=FMIN(min,prlim[i][j]);	min=FMIN(min,prlim[i][j]);
	/* printf(" age= %d prevalim i=%d, j=%d, prmlim[%d][%d]=%f, agefin=%d max=%f min=%f\n", (int)age, i, j, i, j, prlim[i][j],(int)agefin, max, min); */
}	}
maxmin=max-min;	maxmin=(max-min)/(max+min)*2;
maxmax=FMAX(maxmax,maxmin);	maxmax=FMAX(maxmax,maxmin);
} /* j loop */	} /* j loop */
	*ncvyear= (int)age- (int)agefin;
	/* printf("maxmax=%lf maxmin=%lf ncvloop=%ld, age=%d, agefin=%d ncvyear=%d \n", maxmax, maxmin, ncvloop, (int)age, (int)agefin, ncvyear); /
if(maxmax < ftolpl){	if(maxmax < ftolpl){
	/* printf("maxmax=%lf maxmin=%lf ncvloop=%ld, age=%d, agefin=%d ncvyear=%d \n", maxmax, maxmin, ncvloop, (int)age, (int)agefin, ncvyear); /
return prlim;	return prlim;
}	}
} /* age loop */	} /* age loop */
	printf("Warning: the stable prevalence at age %d did not converge with the required precision %g > ftolpl=%g. \n\
	Earliest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear);
	/* Try to lower 'ftol', for example from 1.e-8 to 6.e-9.\n", ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, (int)age-(int)agefin); */
return prlim; /* should not reach here */	return prlim; /* should not reach here */
}	}

Line 2086 double *hpxij(double *po, int nhstep	Line 2171 double *hpxij(double *po, int nhstep
if(nagesqr==1)	if(nagesqr==1)
cov[3]= agexact*agexact;	cov[3]= agexact*agexact;
for (k=1; k<=cptcovn;k++)	for (k=1; k<=cptcovn;k++)
cov[2+nagesqr+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];	cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)];
	/* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */
for (k=1; k<=cptcovage;k++) /* Should start at cptcovn+1 */	for (k=1; k<=cptcovage;k++) /* Should start at cptcovn+1 */
/* cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; /	/* cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; /
cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtab[ij][Tvar[Tage[k]]]]*cov[2];	cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2];
	/* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]cov[2]; /
for (k=1; k<=cptcovprod;k++) /* Useless because included in cptcovn */	for (k=1; k<=cptcovprod;k++) /* Useless because included in cptcovn */
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];	cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)];
	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])]nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; /


/printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);/	/printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);/
Line 2515 double funcone( double *x)	Line 2603 double funcone( double *x)
ll[s[mw[mi][i]][i]] += 2weight[i]lli;	ll[s[mw[mi][i]][i]] += 2weight[i]lli;
/printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); /	/printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); /
if(globpr){	if(globpr){
fprintf(ficresilk,"%9ld %6d %2d %2d %1d %1d %3d %11.6f %8.4f\	fprintf(ficresilk,"%9ld %6.1f %6d %2d %2d %2d %2d %3d %11.6f %8.4f\
%11.6f %11.6f %11.6f ", \	%11.6f %11.6f %11.6f ", \
num[i],i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],	num[i], agexact, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],
2weight[i]lli,out[s1][s2],savm[s1][s2]);	2weight[i]lli,out[s1][s2],savm[s1][s2]);
for(k=1,llt=0.,l=0.; k<=nlstate; k++){	for(k=1,llt=0.,l=0.; k<=nlstate; k++){
llt +=ll[k]*gipmx/gsw;	llt +=ll[k]*gipmx/gsw;
Line 2549 void likelione(FILE *ficres,double p[],	Line 2637 void likelione(FILE *ficres,double p[],
int k;	int k;

if(globpri !=0){ / Just counts and sums, no printings */	if(globpri !=0){ / Just counts and sums, no printings */
strcpy(fileresilk,"ilk");	strcpy(fileresilk,"ILK_");
strcat(fileresilk,fileres);	strcat(fileresilk,fileresu);
if((ficresilk=fopen(fileresilk,"w"))==NULL) {	if((ficresilk=fopen(fileresilk,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresilk);	printf("Problem with resultfile: %s\n", fileresilk);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk);	fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk);
}	}
fprintf(ficresilk, "#individual(line's_record) s1 s2 wave# effective_wave# number_of_matrices_product pij weight -2ln(pij)weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2llweightXnumber_of_contribs/sum_of_weights) and_total\n");	fprintf(ficresilk, "#individual(line's_record) s1 s2 wave# effective_wave# number_of_matrices_product pij weight -2ln(pij)weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2llweightXnumber_of_contribs/sum_of_weights) and_total\n");
fprintf(ficresilk, "#num_i i s1 s2 mi mw dh likeli weight 2wlli out sav ");	fprintf(ficresilk, "#num_i age i s1 s2 mi mw dh likeli weight 2wlli out sav ");
/* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2weight[i]lli,out[s1][s2],savm[s1][s2]); */	/* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2weight[i]lli,out[s1][s2],savm[s1][s2]); */
for(k=1; k<=nlstate; k++)	for(k=1; k<=nlstate; k++)
fprintf(ficresilk," -2gipw/gswweight*ll[%d]++",k);	fprintf(ficresilk," -2gipw/gswweight*ll[%d]++",k);
Line 2566 void likelione(FILE *ficres,double p[],	Line 2654 void likelione(FILE *ficres,double p[],
fretone=(funcone)(p);	fretone=(funcone)(p);
if(*globpri !=0){	if(*globpri !=0){
fclose(ficresilk);	fclose(ficresilk);
fprintf(fichtm,"\n<br>File of contributions to the likelihood: <a href=\"%s\">%s</a><br>\n",subdirf(fileresilk),subdirf(fileresilk));	fprintf(fichtm,"\n<br>File of contributions to the likelihood computed with initial parameters and mle >= 1. You should at least run with mle >= 1 and starting values corresponding to the optimized parameters in order to visualize the real contribution of each individual/wave: <a href=\"%s\">%s</a><br>\n",subdirf(fileresilk),subdirf(fileresilk));
fflush(fichtm);	fprintf(fichtm,"<br>- The function drawn is -2Log(L) in Log scale: by state of origin <a href=\"%s-ori.png\">%s-ori.png</a><br> \
	<img src=\"%s-ori.png\">",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"));
	fprintf(fichtm,"<br>- and by state of destination <a href=\"%s-dest.png\">%s-dest.png</a><br> \
	<img src=\"%s-dest.png\">",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"));
	fflush(fichtm);

	for (k=1; k<= nlstate ; k++) {
	fprintf(fichtm,"<br>- Probability p%dj by origin %d and destination j <a href=\"%s-p%dj.png\">%s-p%dj.png</a><br> \
	<img src=\"%s-p%dj.png\">",k,k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k);

	}
}	}
return;	return;
}	}
Line 2599 void mlikeli(FILE *ficres,double p[], in	Line 2697 void mlikeli(FILE *ficres,double p[], in
for (j=1;j<=npar;j++)	for (j=1;j<=npar;j++)
xi[i][j]=(i==j ? 1.0 : 0.0);	xi[i][j]=(i==j ? 1.0 : 0.0);
printf("Powell\n"); fprintf(ficlog,"Powell\n");	printf("Powell\n"); fprintf(ficlog,"Powell\n");
strcpy(filerespow,"pow");	strcpy(filerespow,"POW_");
strcat(filerespow,fileres);	strcat(filerespow,fileres);
if((ficrespow=fopen(filerespow,"w"))==NULL) {	if((ficrespow=fopen(filerespow,"w"))==NULL) {
printf("Problem with resultfile: %s\n", filerespow);	printf("Problem with resultfile: %s\n", filerespow);
Line 2642 void mlikeli(FILE *ficres,double p[], in	Line 2740 void mlikeli(FILE *ficres,double p[], in
#endif	#endif
free_matrix(xi,1,npar,1,npar);	free_matrix(xi,1,npar,1,npar);
fclose(ficrespow);	fclose(ficrespow);
printf("#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));	printf("\n#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));
fprintf(ficlog,"#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));	fprintf(ficlog,"\n#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));
fprintf(ficres,"#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));	fprintf(ficres,"#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));

}	}

/** Computes Hessian and covariance matrix */	/** Computes Hessian and covariance matrix */
void hesscov(double *matcov, double p[], int npar, double delti[], double ftolhess, double (func)(double []))	void hesscov(double matcov, double hess, double p[], int npar, double delti[], double ftolhess, double (*func)(double []))
{	{
double a,y,*x,pd;	double a,y,*x,pd;
double **hess;	/* double *hess; /
int i, j;	int i, j;
int *indx;	int *indx;

double hessii(double p[], double delta, int theta, double delti[],double (*func)(double []),int npar);	double hessii(double p[], double delta, int theta, double delti[],double (*func)(double []),int npar);
double hessij(double p[], double delti[], int i, int j,double (*func)(double []),int npar);	double hessij(double p[], double *hess, double delti[], int i, int j,double (func)(double []),int npar);
void lubksb(double *a, int npar, int indx, double b[]) ;	void lubksb(double *a, int npar, int indx, double b[]) ;
void ludcmp(double *a, int npar, int indx, double *d) ;	void ludcmp(double *a, int npar, int indx, double *d) ;
double gompertz(double p[]);	double gompertz(double p[]);
hess=matrix(1,npar,1,npar);	/* hess=matrix(1,npar,1,npar); */

printf("\nCalculation of the hessian matrix. Wait...\n");	printf("\nCalculation of the hessian matrix. Wait...\n");
fprintf(ficlog,"\nCalculation of the hessian matrix. Wait...\n");	fprintf(ficlog,"\nCalculation of the hessian matrix. Wait...\n");
for (i=1;i<=npar;i++){	for (i=1;i<=npar;i++){
printf("%d",i);fflush(stdout);	printf("%d-",i);fflush(stdout);
fprintf(ficlog,"%d",i);fflush(ficlog);	fprintf(ficlog,"%d-",i);fflush(ficlog);

hess[i][i]=hessii(p,ftolhess,i,delti,func,npar);	hess[i][i]=hessii(p,ftolhess,i,delti,func,npar);

Line 2678 void hesscov(double **matcov, double p[]	Line 2776 void hesscov(double **matcov, double p[]
for (i=1;i<=npar;i++) {	for (i=1;i<=npar;i++) {
for (j=1;j<=npar;j++) {	for (j=1;j<=npar;j++) {
if (j>i) {	if (j>i) {
printf(".%d%d",i,j);fflush(stdout);	printf(".%d-%d",i,j);fflush(stdout);
fprintf(ficlog,".%d%d",i,j);fflush(ficlog);	fprintf(ficlog,".%d-%d",i,j);fflush(ficlog);
hess[i][j]=hessij(p,delti,i,j,func,npar);	hess[i][j]=hessij(p,hess, delti,i,j,func,npar);

hess[j][i]=hess[i][j];	hess[j][i]=hess[i][j];
/printf(" %lf ",hess[i][j]);/	/printf(" %lf ",hess[i][j]);/
Line 2714 void hesscov(double **matcov, double p[]	Line 2812 void hesscov(double **matcov, double p[]
fprintf(ficlog,"\n#Hessian matrix#\n");	fprintf(ficlog,"\n#Hessian matrix#\n");
for (i=1;i<=npar;i++) {	for (i=1;i<=npar;i++) {
for (j=1;j<=npar;j++) {	for (j=1;j<=npar;j++) {
printf("%.3e ",hess[i][j]);	printf("%.6e ",hess[i][j]);
fprintf(ficlog,"%.3e ",hess[i][j]);	fprintf(ficlog,"%.6e ",hess[i][j]);
}	}
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
}	}

	/* printf("\n#Covariance matrix#\n"); */
	/* fprintf(ficlog,"\n#Covariance matrix#\n"); */
	/* for (i=1;i<=npar;i++) { */
	/* for (j=1;j<=npar;j++) { */
	/* printf("%.6e ",matcov[i][j]); */
	/* fprintf(ficlog,"%.6e ",matcov[i][j]); */
	/* } */
	/* printf("\n"); */
	/* fprintf(ficlog,"\n"); */
	/* } */

/* Recompute Inverse */	/* Recompute Inverse */
for (i=1;i<=npar;i++)	/* for (i=1;i<=npar;i++) */
for (j=1;j<=npar;j++) a[i][j]=matcov[i][j];	/* for (j=1;j<=npar;j++) a[i][j]=matcov[i][j]; */
ludcmp(a,npar,indx,&pd);	/* ludcmp(a,npar,indx,&pd); */

	/* printf("\n#Hessian matrix recomputed#\n"); */

	/* for (j=1;j<=npar;j++) { */
	/* for (i=1;i<=npar;i++) x[i]=0; */
	/* x[j]=1; */
	/* lubksb(a,npar,indx,x); */
	/* for (i=1;i<=npar;i++){ */
	/* y[i][j]=x[i]; */
	/* printf("%.3e ",y[i][j]); */
	/* fprintf(ficlog,"%.3e ",y[i][j]); */
	/* } */
	/* printf("\n"); */
	/* fprintf(ficlog,"\n"); */
	/* } */

/* printf("\n#Hessian matrix recomputed#\n");	/* Verifying the inverse matrix */
	#ifdef DEBUGHESS
	y=matprod2(y,hess,1,npar,1,npar,1,npar,matcov);

	printf("\n#Verification: multiplying the matrix of covariance by the Hessian matrix, should be unity:#\n");
	fprintf(ficlog,"\n#Verification: multiplying the matrix of covariance by the Hessian matrix. Should be unity:#\n");

for (j=1;j<=npar;j++) {	for (j=1;j<=npar;j++) {
for (i=1;i<=npar;i++) x[i]=0;
x[j]=1;
lubksb(a,npar,indx,x);
for (i=1;i<=npar;i++){	for (i=1;i<=npar;i++){
y[i][j]=x[i];	printf("%.2f ",y[i][j]);
printf("%.3e ",y[i][j]);	fprintf(ficlog,"%.2f ",y[i][j]);
fprintf(ficlog,"%.3e ",y[i][j]);
}	}
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
}	}
*/	#endif

free_matrix(a,1,npar,1,npar);	free_matrix(a,1,npar,1,npar);
free_matrix(y,1,npar,1,npar);	free_matrix(y,1,npar,1,npar);
free_vector(x,1,npar);	free_vector(x,1,npar);
free_ivector(indx,1,npar);	free_ivector(indx,1,npar);
free_matrix(hess,1,npar,1,npar);	/* free_matrix(hess,1,npar,1,npar); */


}	}

/************* hessian matrix **************/	/************* hessian matrix **************/
double hessii(double x[], double delta, int theta, double delti[], double (*func)(double []), int npar)	double hessii(double x[], double delta, int theta, double delti[], double (*func)(double []), int npar)
{	{ /* Around values of x, computes the function func and returns the scales delti and hessian */
int i;	int i;
int l=1, lmax=20;	int l=1, lmax=20;
double k1,k2;	double k1,k2, res, fx;
double p2[MAXPARM+1]; /* identical to x */	double p2[MAXPARM+1]; /* identical to x */
double res;
double delt=0.0001, delts, nkhi=10.,nkhif=1., khi=1.e-4;	double delt=0.0001, delts, nkhi=10.,nkhif=1., khi=1.e-4;
double fx;
int k=0,kmax=10;	int k=0,kmax=10;
double l1;	double l1;

Line 2776 double hessii(double x[], double delta,	Line 2899 double hessii(double x[], double delta,
p2[theta]=x[theta]-delt;	p2[theta]=x[theta]-delt;
k2=func(p2)-fx;	k2=func(p2)-fx;
/res= (k1-2.0fx+k2)/delt/delt; */	/res= (k1-2.0fx+k2)/delt/delt; */
res= (k1+k2)/delt/delt/2.; /* Divided by because L and not 2L /	res= (k1+k2)/delt/delt/2.; /* Divided by 2 because L and not 2L /

#ifdef DEBUGHESS	#ifdef DEBUGHESSII
printf("%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);	printf("%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);
fprintf(ficlog,"%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);	fprintf(ficlog,"%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);
#endif	#endif
Line 2792 double hessii(double x[], double delta,	Line 2915 double hessii(double x[], double delta,
else if((k1 >khi/nkhi) \|\| (k2 >khi/nkhi)){	else if((k1 >khi/nkhi) \|\| (k2 >khi/nkhi)){
delts=delt;	delts=delt;
}	}
}	} /* End loop k */
}	}
delti[theta]=delts;	delti[theta]=delts;
return res;	return res;

}	}

double hessij( double x[], double delti[], int thetai,int thetaj,double (*func)(double []),int npar)	double hessij( double x[], double *hess, double delti[], int thetai,int thetaj,double (func)(double []),int npar)
{	{
int i;	int i;
int l=1, lmax=20;	int l=1, lmax=20;
double k1,k2,k3,k4,res,fx;	double k1,k2,k3,k4,res,fx;
double p2[MAXPARM+1];	double p2[MAXPARM+1];
int k;	int k, kmax=1;
	double v1, v2, cv12, lc1, lc2;

fx=func(x);	fx=func(x);
for (k=1; k<=2; k++) {	for (k=1; k<=kmax; k=k+10) {
for (i=1;i<=npar;i++) p2[i]=x[i];	for (i=1;i<=npar;i++) p2[i]=x[i];
p2[thetai]=x[thetai]+delti[thetai]/k;	p2[thetai]=x[thetai]+delti[thetai]*k;
p2[thetaj]=x[thetaj]+delti[thetaj]/k;	p2[thetaj]=x[thetaj]+delti[thetaj]*k;
k1=func(p2)-fx;	k1=func(p2)-fx;

p2[thetai]=x[thetai]+delti[thetai]/k;	p2[thetai]=x[thetai]+delti[thetai]*k;
p2[thetaj]=x[thetaj]-delti[thetaj]/k;	p2[thetaj]=x[thetaj]-delti[thetaj]*k;
k2=func(p2)-fx;	k2=func(p2)-fx;

p2[thetai]=x[thetai]-delti[thetai]/k;	p2[thetai]=x[thetai]-delti[thetai]*k;
p2[thetaj]=x[thetaj]+delti[thetaj]/k;	p2[thetaj]=x[thetaj]+delti[thetaj]*k;
k3=func(p2)-fx;	k3=func(p2)-fx;

p2[thetai]=x[thetai]-delti[thetai]/k;	p2[thetai]=x[thetai]-delti[thetai]*k;
p2[thetaj]=x[thetaj]-delti[thetaj]/k;	p2[thetaj]=x[thetaj]-delti[thetaj]*k;
k4=func(p2)-fx;	k4=func(p2)-fx;
res=(k1-k2-k3+k4)/4.0/delti[thetai]k/delti[thetaj]k/2.; /* Because of L not 2L /	res=(k1-k2-k3+k4)/4.0/delti[thetai]/k/delti[thetaj]/k/2.; /* Because of L not 2L /
#ifdef DEBUG	if(k1k2k3*k4 <0.){
printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);	kmax=kmax+10;
fprintf(ficlog,"%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);	if(kmax >=10){
	printf("Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; increase ftol=%.2e\n",thetai,thetaj, ftol);
	fprintf(ficlog,"Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; increase ftol=%.2e\n",thetai,thetaj, ftol);
	printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e deltik=%.12e deltjk=%.12e, xi-dek=%.12e xj-dek=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
	fprintf(ficlog,"%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e deltik=%.12e deltjk=%.12e, xi-dek=%.12e xj-dek=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
	}
	}
	#ifdef DEBUGHESSIJ
	v1=hess[thetai][thetai];
	v2=hess[thetaj][thetaj];
	cv12=res;
	/* Computing eigen value of Hessian matrix */
	lc1=((v1+v2)+sqrt((v1+v2)(v1+v2) - 4(v1v2-cv12cv12)))/2.;
	lc2=((v1+v2)-sqrt((v1+v2)(v1+v2) - 4(v1v2-cv12cv12)))/2.;
	if ((lc2 <0) \|\| (lc1 <0) ){
	printf("Warning: sub Hessian matrix '%d%d' does not have positive eigen values \n",thetai,thetaj);
	fprintf(ficlog, "Warning: sub Hessian matrix '%d%d' does not have positive eigen values \n",thetai,thetaj);
	printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
	fprintf(ficlog,"%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
	}
#endif	#endif
}	}
return res;	return res;
}	}

	/* Not done yet: Was supposed to fix if not exactly at the maximum */
	/* double hessij( double x[], double delti[], int thetai,int thetaj,double (func)(double []),int npar) /
	/* { */
	/* int i; */
	/* int l=1, lmax=20; */
	/* double k1,k2,k3,k4,res,fx; */
	/* double p2[MAXPARM+1]; */
	/* double delt=0.0001, delts, nkhi=10.,nkhif=1., khi=1.e-4; */
	/* int k=0,kmax=10; */
	/* double l1; */

	/* fx=func(x); */
	/* for(l=0 ; l <=lmax; l++){ /\* Enlarging the zone around the Maximum \/ /
	/* l1=pow(10,l); */
	/* delts=delt; */
	/* for(k=1 ; k <kmax; k=k+1){ */
	/* delt = delti(l1k); */
	/* for (i=1;i<=npar;i++) p2[i]=x[i]; */
	/* p2[thetai]=x[thetai]+delti[thetai]/k; */
	/* p2[thetaj]=x[thetaj]+delti[thetaj]/k; */
	/* k1=func(p2)-fx; */

	/* p2[thetai]=x[thetai]+delti[thetai]/k; */
	/* p2[thetaj]=x[thetaj]-delti[thetaj]/k; */
	/* k2=func(p2)-fx; */

	/* p2[thetai]=x[thetai]-delti[thetai]/k; */
	/* p2[thetaj]=x[thetaj]+delti[thetaj]/k; */
	/* k3=func(p2)-fx; */

	/* p2[thetai]=x[thetai]-delti[thetai]/k; */
	/* p2[thetaj]=x[thetaj]-delti[thetaj]/k; */
	/* k4=func(p2)-fx; */
	/* res=(k1-k2-k3+k4)/4.0/delti[thetai]k/delti[thetaj]k/2.; /\* Because of L not 2L \/ */
	/* #ifdef DEBUGHESSIJ */
	/* printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); */
	/* fprintf(ficlog,"%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti/k=%.12e deltj/k=%.12e, xi-de/k=%.12e xj-de/k=%.12e res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4); */
	/* #endif */
	/* if((k1 <khi/nkhi/2.) \|\| (k2 <khi/nkhi/2.)\|\| (k4 <khi/nkhi/2.)\|\| (k4 <khi/nkhi/2.)){ */
	/* k=kmax; */
	/* } */
	/* else if((k1 >khi/nkhif) \|\| (k2 >khi/nkhif) \|\| (k4 >khi/nkhif) \|\| (k4 >khi/nkhif)){ /\* Keeps lastvalue before 3.84/2 KHI2 5% 1d.f. \/ /
	/* k=kmax; l=lmax10; /
	/* } */
	/* else if((k1 >khi/nkhi) \|\| (k2 >khi/nkhi)){ */
	/* delts=delt; */
	/* } */
	/* } /\* End loop k \/ /
	/* } */
	/* delti[theta]=delts; */
	/* return res; */
	/* } */


/************ Inverse of matrix ************/	/************ Inverse of matrix ************/
void ludcmp(double *a, int n, int indx, double *d)	void ludcmp(double *a, int n, int indx, double *d)
{	{
Line 2926 void freqsummary(char fileres[], int ia	Line 3123 void freqsummary(char fileres[], int ia

pp=vector(1,nlstate);	pp=vector(1,nlstate);
prop=matrix(1,nlstate,iagemin,iagemax+3);	prop=matrix(1,nlstate,iagemin,iagemax+3);
strcpy(fileresp,"p");	strcpy(fileresp,"P_");
strcat(fileresp,fileres);	strcat(fileresp,fileresu);
if((ficresp=fopen(fileresp,"w"))==NULL) {	if((ficresp=fopen(fileresp,"w"))==NULL) {
printf("Problem with prevalence resultfile: %s\n", fileresp);	printf("Problem with prevalence resultfile: %s\n", fileresp);
fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);	fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);
Line 2962 void freqsummary(char fileres[], int ia	Line 3159 void freqsummary(char fileres[], int ia
bool=1;	bool=1;
if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */	if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */
for (z1=1; z1<=cptcoveff; z1++)	for (z1=1; z1<=cptcoveff; z1++)
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]){	if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){
/* Tests if the value of each of the covariates of i is equal to filter j1 */	/* Tests if the value of each of the covariates of i is equal to filter j1 */
bool=0;	bool=0;
/* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtab[%d][%d]=%d, nbcode[Tvaraff][codtab[%d][%d]=%d, j1=%d\n",	/* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n",
bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtab[j1][z1],	bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1),
j1,z1,nbcode[Tvaraff[z1]][codtab[j1][z1]],j1);*/	j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/
/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtab[7][3]=1 and nbcde[3][?]=1*/	/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/
}	}
}	}

Line 2997 void freqsummary(char fileres[], int ia	Line 3194 void freqsummary(char fileres[], int ia
pstamp(ficresp);	pstamp(ficresp);
if (cptcovn>0) {	if (cptcovn>0) {
fprintf(ficresp, "\n#********** Variable ");	fprintf(ficresp, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
fprintf(ficresp, "**********\n#");	fprintf(ficresp, "**********\n#");
fprintf(ficlog, "\n#********** Variable ");	fprintf(ficlog, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
fprintf(ficlog, "**********\n#");	fprintf(ficlog, "**********\n#");
}	}
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
Line 3128 void prevalence(double ***probs, double	Line 3325 void prevalence(double ***probs, double
bool=1;	bool=1;
if (cptcovn>0) {	if (cptcovn>0) {
for (z1=1; z1<=cptcoveff; z1++)	for (z1=1; z1<=cptcoveff; z1++)
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]])	if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)])
bool=0;	bool=0;
}	}
if (bool==1) {	if (bool==1) {
Line 3394 void tricode(int Tvar, int *nbcode, in	Line 3591 void tricode(int Tvar, int *nbcode, in
nbcode[Tvar[j]][1]=0;	nbcode[Tvar[j]][1]=0;
nbcode[Tvar[j]][2]=1;	nbcode[Tvar[j]][2]=1;
nbcode[Tvar[j]][3]=2;	nbcode[Tvar[j]][3]=2;
	To be continued (not working yet).
*/	*/
ij=0; /* ij is similar to i but can jumps over null modalities */	ij=0; /* ij is similar to i but can jump over null modalities */
for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 to 1*/	for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/
if (Ndum[i] == 0) { /* If at least one individual responded to this modality k */	if (Ndum[i] == 0) { /* If nobody responded to this modality k */
break;	break;
}	}
ij++;	ij++;
nbcode[Tvar[j]][ij]=i; /* stores the original modality i in an array nbcode, ij modality from 1 to last non-nul modality.*/	nbcode[Tvar[j]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality.*/
cptcode = ij; /* New max modality for covar j */	cptcode = ij; /* New max modality for covar j */
} /* end of loop on modality i=-1 to 1 or more */	} /* end of loop on modality i=-1 to 1 or more */

Line 3765 void cvevsij(double ***eij, double x[],	Line 3963 void cvevsij(double ***eij, double x[],
}	}

/********** Variance ****************/	/********** Variance ****************/
void varevsij(char optionfilefiname[], double *vareij, double matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double oldm, double savm, double **prlim, double ftolpl, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[])	void varevsij(char optionfilefiname[], double *vareij, double matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double oldm, double savm, double *prlim, double ftolpl, int ncvyear, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[])
{	{
/* Variance of health expectancies */	/* Variance of health expectancies */
/* double prevalim(double prlim, int nlstate, double xp, double age, double oldm, double * savm,double ftolpl);*/	/* double prevalim(double prlim, int nlstate, double xp, double age, double oldm, double * savm,double ftolpl);*/
Line 3794 void varevsij(char optionfilefiname[], d	Line 3992 void varevsij(char optionfilefiname[], d

if(popbased==1){	if(popbased==1){
if(mobilav!=0)	if(mobilav!=0)
strcpy(digitp,"-populbased-mobilav-");	strcpy(digitp,"-POPULBASED-MOBILAV_");
else strcpy(digitp,"-populbased-nomobil-");	else strcpy(digitp,"-POPULBASED-NOMOBIL_");
}	}
else	else
strcpy(digitp,"-stablbased-");	strcpy(digitp,"-STABLBASED_");

if (mobilav!=0) {	if (mobilav!=0) {
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
Line 3808 void varevsij(char optionfilefiname[], d	Line 4006 void varevsij(char optionfilefiname[], d
}	}
}	}

strcpy(fileresprobmorprev,"prmorprev");	strcpy(fileresprobmorprev,"PRMORPREV-");
sprintf(digit,"%-d",ij);	sprintf(digit,"%-d",ij);
/printf("DIGIT=%s, ij=%d ijr=%-d\|\n",digit, ij,ij);/	/printf("DIGIT=%s, ij=%d ijr=%-d\|\n",digit, ij,ij);/
strcat(fileresprobmorprev,digit); /* Tvar to be done */	strcat(fileresprobmorprev,digit); /* Tvar to be done */
strcat(fileresprobmorprev,digitp); /* Popbased or not, mobilav or not */	strcat(fileresprobmorprev,digitp); /* Popbased or not, mobilav or not */
strcat(fileresprobmorprev,fileres);	strcat(fileresprobmorprev,fileresu);
if((ficresprobmorprev=fopen(fileresprobmorprev,"w"))==NULL) {	if((ficresprobmorprev=fopen(fileresprobmorprev,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresprobmorprev);	printf("Problem with resultfile: %s\n", fileresprobmorprev);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobmorprev);	fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobmorprev);
Line 3831 void varevsij(char optionfilefiname[], d	Line 4029 void varevsij(char optionfilefiname[], d
}	}
fprintf(ficresprobmorprev,"\n");	fprintf(ficresprobmorprev,"\n");
fprintf(ficgp,"\n# Routine varevsij");	fprintf(ficgp,"\n# Routine varevsij");
/* fprintf(fichtm, "#Local time at start: %s", strstart);*/	fprintf(ficgp,"\nunset title \n");
	/* fprintf(fichtm, "#Local time at start: %s", strstart);*/
fprintf(fichtm,"\n<li><h4> Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)</h4></li>\n");	fprintf(fichtm,"\n<li><h4> Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)</h4></li>\n");
fprintf(fichtm,"\n<br>%s <br>\n",digitp);	fprintf(fichtm,"\n<br>%s <br>\n",digitp);
/* } */	/* } */
Line 3890 void varevsij(char optionfilefiname[], d	Line 4089 void varevsij(char optionfilefiname[], d
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,ncvyear,ij);

if (popbased==1) {	if (popbased==1) {
if(mobilav ==0){	if(mobilav ==0){
Line 3921 void varevsij(char optionfilefiname[], d	Line 4120 void varevsij(char optionfilefiname[], d
for(i=1; i<=npar; i++) /* Computes gradient x - delta */	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,ncvyear, ij);

if (popbased==1) {	if (popbased==1) {
if(mobilav ==0){	if(mobilav ==0){
Line 3996 void varevsij(char optionfilefiname[], d	Line 4195 void varevsij(char optionfilefiname[], d
/* end ppptj */	/* end ppptj */
/* x centered again */	/* 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,ncvyear,ij);

if (popbased==1) {	if (popbased==1) {
if(mobilav ==0){	if(mobilav ==0){
Line 4043 void varevsij(char optionfilefiname[], d	Line 4242 void varevsij(char optionfilefiname[], d
free_vector(gmp,nlstate+1,nlstate+ndeath);	free_vector(gmp,nlstate+1,nlstate+ndeath);
free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath);	free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath);
free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/	free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/
fprintf(ficgp,"\nunset parametric;unset label; set ter png small size 320, 240");	/* fprintf(ficgp,"\nunset parametric;unset label; set ter png small size 320, 240"); */
	fprintf(ficgp,"\nunset parametric;unset label; set ter svg size 640, 480");
/* 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; unset log x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");	fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");
	fprintf(ficgp,"\nset out \"%s%s.svg\";",subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit);
/* 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); */
Line 4053 void varevsij(char optionfilefiname[], d	Line 4254 void varevsij(char optionfilefiname[], d
fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95%% interval\" w l lt 2 ",subdirf(fileresprobmorprev));	fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95%% interval\" w l lt 2 ",subdirf(fileresprobmorprev));
fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l lt 2 ",subdirf(fileresprobmorprev));	fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l lt 2 ",subdirf(fileresprobmorprev));
fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));	fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));
fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.png\"> <br>\n", estepm,subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);	fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.svg\"> <br>\n", estepm,subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit);
/* fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,YEARM,digitp,digit);	/* fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year <br> <img src=\"varmuptjgr%s%s.svg\"> <br>\n", stepm,YEARM,digitp,digit);
*/	*/
/* fprintf(ficgp,"\nset out \"varmuptjgr%s%s%s.png\";replot;",digitp,optionfilefiname,digit); */	/* fprintf(ficgp,"\nset out \"varmuptjgr%s%s%s.svg\";replot;",digitp,optionfilefiname,digit); */
fprintf(ficgp,"\nset out \"%s%s.png\";replot;\n",subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);	fprintf(ficgp,"\nset out;\nset out \"%s%s.svg\";replot;set out;\n",subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit);

free_vector(xp,1,npar);	free_vector(xp,1,npar);
free_matrix(doldm,1,nlstate,1,nlstate);	free_matrix(doldm,1,nlstate,1,nlstate);
Line 4072 void varevsij(char optionfilefiname[], d	Line 4273 void varevsij(char optionfilefiname[], d
} /* end varevsij */	} /* end varevsij */

/********** Variance of prevlim ****************/	/********** Variance of prevlim ****************/
void varprevlim(char fileres[], double varpl, double matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double oldm, double savm, double **prlim, double ftolpl, int ij, char strstart[])	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 ncvyear, int ij, char strstart[])
{	{
/* Variance of prevalence limit */	/* Variance of prevalence limit */
/* double prevalim(double prlim, int nlstate, double xp, double age, double oldm, double savm,double ftolpl);/	/* double prevalim(double prlim, int nlstate, double xp, double age, double oldm, double savm,double ftolpl);/
Line 4111 void varprevlim(char fileres[], double *	Line 4312 void varprevlim(char fileres[], double *
for(i=1; i<=npar; i++){ /* Computes gradient */	for(i=1; i<=npar; i++){ /* Computes gradient */
xp[i] = x[i] + (i==theta ?delti[theta]:0);	xp[i] = x[i] + (i==theta ?delti[theta]:0);
}	}
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);	prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyear,ij);
for(i=1;i<=nlstate;i++)	for(i=1;i<=nlstate;i++)
gp[i] = prlim[i][i];	gp[i] = prlim[i][i];

for(i=1; i<=npar; i++) /* Computes gradient */	for(i=1; i<=npar; i++) /* Computes gradient */
xp[i] = x[i] - (i==theta ?delti[theta]:0);	xp[i] = x[i] - (i==theta ?delti[theta]:0);
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);	prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyear,ij);
for(i=1;i<=nlstate;i++)	for(i=1;i<=nlstate;i++)
gm[i] = prlim[i][i];	gm[i] = prlim[i][i];

Line 4175 void varprob(char optionfilefiname[], do	Line 4376 void varprob(char optionfilefiname[], do
char fileresprobcor[FILENAMELENGTH];	char fileresprobcor[FILENAMELENGTH];
double ***varpij;	double ***varpij;

strcpy(fileresprob,"prob");	strcpy(fileresprob,"PROB_");
strcat(fileresprob,fileres);	strcat(fileresprob,fileres);
if((ficresprob=fopen(fileresprob,"w"))==NULL) {	if((ficresprob=fopen(fileresprob,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresprob);	printf("Problem with resultfile: %s\n", fileresprob);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob);	fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob);
}	}
strcpy(fileresprobcov,"probcov");	strcpy(fileresprobcov,"PROBCOV_");
strcat(fileresprobcov,fileres);	strcat(fileresprobcov,fileresu);
if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) {	if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresprobcov);	printf("Problem with resultfile: %s\n", fileresprobcov);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov);	fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov);
}	}
strcpy(fileresprobcor,"probcor");	strcpy(fileresprobcor,"PROBCOR_");
strcat(fileresprobcor,fileres);	strcat(fileresprobcor,fileresu);
if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) {	if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresprobcor);	printf("Problem with resultfile: %s\n", fileresprobcor);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor);	fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor);
Line 4230 void varprob(char optionfilefiname[], do	Line 4431 void varprob(char optionfilefiname[], do
fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");	fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");
fprintf(fichtm,"\n");	fprintf(fichtm,"\n");

fprintf(fichtm,"\n<li><h4> <a href=\"%s\">Matrix of variance-covariance of pairs of step probabilities (drawings)</a></h4></li>\n",optionfilehtmcov);	fprintf(fichtm,"\n<li><h4> <a href=\"%s\">Matrix of variance-covariance of one-step probabilities (drawings)</a></h4> this page is important in order to visualize confidence intervals and especially correlation between disability and recovery, or more generally, way in and way back.</li>\n",optionfilehtmcov);
fprintf(fichtmcov,"\n<h4>Matrix of variance-covariance of pairs of step probabilities</h4>\n\	fprintf(fichtmcov,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Matrix of variance-covariance of pairs of step probabilities</h4>\n",optionfilehtmcov, optionfilehtmcov);
file %s<br>\n",optionfilehtmcov);	fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimated \
fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimated\
and drawn. It helps understanding how is the covariance between two incidences.\	and drawn. It helps understanding how is the covariance between two incidences.\
They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>\n");	They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>\n");
fprintf(fichtmcov,"\n<br> Contour plot corresponding to x'cov<sup>-1</sup>x = 4 (where x is the column vector (pij,pkl)) are drawn. \	fprintf(fichtmcov,"\n<br> Contour plot corresponding to x'cov<sup>-1</sup>x = 4 (where x is the column vector (pij,pkl)) are drawn. \
Line 4254 To be simple, these graphs help to under	Line 4454 To be simple, these graphs help to under
/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]][codtabm(j1,z1)]);
fprintf(ficresprob, "**********\n#\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]][codtabm(j1,z1)]);
fprintf(ficresprobcov, "**********\n#\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]][codtabm(j1,z1)]);
fprintf(ficgp, "**********\n#\n");	fprintf(ficgp, "**********\n#\n");


fprintf(fichtmcov, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable ");	fprintf(fichtmcov, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(fichtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">");	fprintf(fichtmcov, "**********\n<hr size=\"2\" color=\"#EC5E5E\">");

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

Line 4283 To be simple, these graphs help to under	Line 4483 To be simple, these graphs help to under
if(nagesqr==1)	if(nagesqr==1)
cov[3]= age*age;	cov[3]= age*age;
for (k=1; k<=cptcovn;k++) {	for (k=1; k<=cptcovn;k++) {
cov[2+nagesqr+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]];/* j1 1 2 3 4	cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)];
	/cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];//* j1 1 2 3 4
* 1 1 1 1 1	* 1 1 1 1 1
* 2 2 1 1 1	* 2 2 1 1 1
* 3 1 2 1 1	* 3 1 2 1 1
Line 4291 To be simple, these graphs help to under	Line 4492 To be simple, these graphs help to under
/* nbcode[1][1]=0 nbcode[1][2]=1;*/	/* nbcode[1][1]=0 nbcode[1][2]=1;*/
}	}
/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; /	/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; /
for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtab[ij][Tvar[Tage[k]]]]*cov[2];	for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2];
for (k=1; k<=cptcovprod;k++)	for (k=1; k<=cptcovprod;k++)
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];	cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)];


for(theta=1; theta <=npar; theta++){	for(theta=1; theta <=npar; theta++){
Line 4441 To be simple, these graphs help to under	Line 4642 To be simple, these graphs help to under
/* mu2+ v21lc1cost + v22lc2sin(t) */	/* mu2+ v21lc1cost + v22lc2sin(t) */
if(first==1){	if(first==1){
first=0;	first=0;
	fprintf(ficgp,"\n# Ellipsoids of confidence\n#\n");
fprintf(ficgp,"\nset parametric;unset label");	fprintf(ficgp,"\nset parametric;unset label");
fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2);	fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2);
fprintf(ficgp,"\nset ter png small size 320, 240");	fprintf(ficgp,"\nset ter svg size 640, 480");
fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\	fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\
:<a href=\"%s%d%1d%1d-%1d%1d.png\">\	:<a href=\"%s_%d%1d%1d-%1d%1d.svg\">\
%s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,\	%s_%d%1d%1d-%1d%1d.svg</A>, ",k1,l1,k2,l2,\
subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2,\	subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2,\
subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);	subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2);
fprintf(fichtmcov,"\n<br><img src=\"%s%d%1d%1d-%1d%1d.png\"> ",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);	fprintf(fichtmcov,"\n<br><img src=\"%s_%d%1d%1d-%1d%1d.svg\"> ",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2);
fprintf(fichtmcov,"\n<br> Correlation at age %d (%.3f),",(int) age, c12);	fprintf(fichtmcov,"\n<br> Correlation at age %d (%.3f),",(int) age, c12);
fprintf(ficgp,"\nset out \"%s%d%1d%1d-%1d%1d.png\"",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);	fprintf(ficgp,"\nset out \"%s_%d%1d%1d-%1d%1d.svg\"",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2);
fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);	fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);
fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);	fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);
fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f(%11.3e%11.3ecos(t)+%11.3e%11.3esin(t)), %11.3e +%.3f(%11.3e%11.3ecos(t)+%11.3e%11.3esin(t)) not",\	fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f(%11.3e%11.3ecos(t)+%11.3e%11.3esin(t)), %11.3e +%.3f(%11.3e%11.3ecos(t)+%11.3e%11.3esin(t)) not",\
Line 4468 To be simple, these graphs help to under	Line 4670 To be simple, these graphs help to under
}/* if first */	}/* if first */
} /* age mod 5 */	} /* age mod 5 */
} /* end loop age */	} /* end loop age */
fprintf(ficgp,"\nset out \"%s%d%1d%1d-%1d%1d.png\";replot;",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);	fprintf(ficgp,"\nset out;\nset out \"%s_%d%1d%1d-%1d%1d.svg\";replot;set out;",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2);
first=1;	first=1;
} /l12 /	} /l12 /
} /* k12 */	} /* k12 */
Line 4490 To be simple, these graphs help to under	Line 4692 To be simple, these graphs help to under


/***************** Printing html file *********/	/***************** Printing html file *********/
void printinghtml(char fileres[], char title[], char datafile[], int firstpass, \	void printinghtml(char fileresu[], char title[], char datafile[], int firstpass, \
int lastpass, int stepm, int weightopt, char model[],\	int lastpass, int stepm, int weightopt, char model[],\
int imx,int jmin, int jmax, double jmeanint,char rfileres[],\	int imx,int jmin, int jmax, double jmeanint,char rfileres[],\
int popforecast, int estepm ,\	int popforecast, int estepm ,\
Line 4503 void printinghtml(char fileres[], char t	Line 4705 void printinghtml(char fileres[], char t
</ul>");	</ul>");
fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n \	fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n \
- Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> <br>\n ",	- Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> <br>\n ",
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileres,"p"),subdirf2(fileres,"p"));	jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileresu,"P_"),subdirf2(fileresu,"P_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- Estimated transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ",	- Estimated transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ",
stepm,subdirf2(fileres,"pij"),subdirf2(fileres,"pij"));	stepm,subdirf2(fileresu,"PIJ_"),subdirf2(fileresu,"PIJ_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- Period (stable) prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",	- Period (stable) prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",
subdirf2(fileres,"pl"),subdirf2(fileres,"pl"));	subdirf2(fileresu,"PL_"),subdirf2(fileresu,"PL_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- (a) Life expectancies by health status at initial age, ei. (b) health expectancies by health status at initial age, eij . If one or more covariates are included, specific tables for each value of the covariate are output in sequences within the same file (estepm=%2d months): \	- (a) Life expectancies by health status at initial age, ei. (b) health expectancies by health status at initial age, eij . If one or more covariates are included, specific tables for each value of the covariate are output in sequences within the same file (estepm=%2d months): \
<a href=\"%s\">%s</a> <br>\n",	<a href=\"%s\">%s</a> <br>\n",
estepm,subdirf2(fileres,"e"),subdirf2(fileres,"e"));	estepm,subdirf2(fileresu,"E_"),subdirf2(fileresu,"E_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- Population projections by age and states: \	- Population projections by age and states: \
<a href=\"%s\">%s</a> <br>\n</li>", subdirf2(fileres,"f"),subdirf2(fileres,"f"));	<a href=\"%s\">%s</a> <br>\n</li>", subdirf2(fileresu,"F_"),subdirf2(fileresu,"F_"));

fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");	fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");

Line 4530 fprintf(fichtm," \n<ul><li><b>Graphs</b>	Line 4732 fprintf(fichtm," \n<ul><li><b>Graphs</b>
if (cptcovn > 0) {	if (cptcovn > 0) {
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates");	fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates");
for (cpt=1; cpt<=cptcoveff;cpt++){	for (cpt=1; cpt<=cptcoveff;cpt++){
fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[jj1][cpt]]);	fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);
printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[jj1][cpt]]);fflush(stdout);	printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout);
}	}
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");	fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
}	}
	/* aij, bij */
	fprintf(fichtm,"<br>- Logit model, for example: logit(pij)=log(pij/pii)= aij+ bij age + V1 age + etc. as a function of age: <a href=\"%s_%d-1.svg\">%s_%d-1.svg</a><br> \
	<img src=\"%s_%d-1.svg\">",subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1);
/* Pij */	/* Pij */
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s%d_1.png\">%s%d_1.png</a><br> \	fprintf(fichtm,"<br>\n- Pij or conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s_%d-2.svg\">%s_%d-2.svg</a><br> \
<img src=\"%s%d_1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);	<img src=\"%s_%d-2.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1);
/* Quasi-incidences */	/* Quasi-incidences */
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\	fprintf(fichtm,"<br>\n- Iij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\
before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: <a href=\"%s%d_2.png\">%s%d_2.png</a><br> \	before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too,\
<img src=\"%s%d_2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);	incidence (rates) are the limit when h tends to zero of the ratio of the probability hPij \
/* Period (stable) prevalence in each health state */	divided by h: hPij/h : <a href=\"%s_%d-3.svg\">%s_%d-3.svg</a><br> \
for(cpt=1; cpt<=nlstate;cpt++){	<img src=\"%s_%d-3.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1);
fprintf(fichtm,"<br>- Convergence to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.png\">%s%d_%d.png</a><br> \	/* Survival functions (period) in state j */
<img src=\"%s%d_%d.png\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1);	for(cpt=1; cpt<=nlstate;cpt++){
}	fprintf(fichtm,"<br>\n- Survival functions in state %d. Or probability to survive in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \
	<img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1);
	}
	/* State specific survival functions (period) */
	for(cpt=1; cpt<=nlstate;cpt++){
	fprintf(fichtm,"<br>\n- Survival functions from state %d in any different live states and total.\
	Or probability to survive in various states (1 to %d) being in state %d at different ages.\
	<a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> <img src=\"%s_%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1);
	}
	/* Period (stable) prevalence in each health state */
	for(cpt=1; cpt<=nlstate;cpt++){
	fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \
	<img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1);
	}
for(cpt=1; cpt<=nlstate;cpt++) {	for(cpt=1; cpt<=nlstate;cpt++) {
fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) : <a href=\"%s%d%d.png\">%s%d%d.png</a> <br> \	fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) (or area under each survival functions): <a href=\"%s%d%d.svg\">%s%d%d.svg</a> <br> \
<img src=\"%s%d%d.png\">",cpt,nlstate,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);	<img src=\"%s_%d%d.svg\">",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1);
}	}
/* } /\* end i1 \/ /	/* } /\* end i1 \/ /
}/* End k1 */	}/* End k1 */
Line 4558 fprintf(fichtm," \n<ul><li><b>Graphs</b>	Line 4776 fprintf(fichtm," \n<ul><li><b>Graphs</b>
fprintf(fichtm,"\	fprintf(fichtm,"\
\n<br><li><h4> <a name='secondorder'>Result files (second order: variances)</a></h4>\n\	\n<br><li><h4> <a name='secondorder'>Result files (second order: variances)</a></h4>\n\
- Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br> \	- Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br> \
- 95%% confidence intervals and T statistics are in the log file.<br>\n", rfileres,rfileres);	- 95%% confidence intervals and Wald tests of the estimated parameters are in the log file if optimization has been done (mle != 0).<br> \
	But because parameters are usually highly correlated (a higher incidence of disability \
	and a higher incidence of recovery can give very close observed transition) it might \
	be very useful to look not only at linear confidence intervals estimated from the \
	variances but at the covariance matrix. And instead of looking at the estimated coefficients \
	(parameters) of the logistic regression, it might be more meaningful to visualize the \
	covariance matrix of the one-step probabilities. \
	See page 'Matrix of variance-covariance of one-step probabilities' below. \n", rfileres,rfileres);

fprintf(fichtm," - Standard deviation of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",	fprintf(fichtm," - Standard deviation of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
subdirf2(fileres,"prob"),subdirf2(fileres,"prob"));	subdirf2(fileresu,"PROB_"),subdirf2(fileresu,"PROB_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- Variance-covariance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",	- Variance-covariance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
subdirf2(fileres,"probcov"),subdirf2(fileres,"probcov"));	subdirf2(fileresu,"PROBCOV_"),subdirf2(fileresu,"PROBCOV_"));

fprintf(fichtm,"\	fprintf(fichtm,"\
- Correlation matrix of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",	- Correlation matrix of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
subdirf2(fileres,"probcor"),subdirf2(fileres,"probcor"));	subdirf2(fileresu,"PROBCOR_"),subdirf2(fileresu,"PROBCOR_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- Variances and covariances of health expectancies by age and <b>initial health status</b> (cov(e<sup>ij</sup>,e<sup>kl</sup>)(estepm=%2d months): \	- Variances and covariances of health expectancies by age and <b>initial health status</b> (cov(e<sup>ij</sup>,e<sup>kl</sup>)(estepm=%2d months): \
<a href=\"%s\">%s</a> <br>\n</li>",	<a href=\"%s\">%s</a> <br>\n</li>",
estepm,subdirf2(fileres,"cve"),subdirf2(fileres,"cve"));	estepm,subdirf2(fileresu,"CVE_"),subdirf2(fileresu,"CVE_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- (a) Health expectancies by health status at initial age (e<sup>ij</sup>) and standard errors (in parentheses) (b) life expectancies and standard errors (e<sup>i.</sup>=e<sup>i1</sup>+e<sup>i2</sup>+...)(estepm=%2d months): \	- (a) Health expectancies by health status at initial age (e<sup>ij</sup>) and standard errors (in parentheses) (b) life expectancies and standard errors (e<sup>i.</sup>=e<sup>i1</sup>+e<sup>i2</sup>+...)(estepm=%2d months): \
<a href=\"%s\">%s</a> <br>\n</li>",	<a href=\"%s\">%s</a> <br>\n</li>",
estepm,subdirf2(fileres,"stde"),subdirf2(fileres,"stde"));	estepm,subdirf2(fileresu,"STDE_"),subdirf2(fileresu,"STDE_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- Variances and covariances of health expectancies by age. Status (i) based health expectancies (in state j), e<sup>ij</sup> are weighted by the period prevalences in each state i (if popbased=1, an additional computation is done using the cross-sectional prevalences, i.e population based) (estepm=%d months): <a href=\"%s\">%s</a><br>\n",	- Variances and covariances of health expectancies by age. Status (i) based health expectancies (in state j), e<sup>ij</sup> are weighted by the period prevalences in each state i (if popbased=1, an additional computation is done using the cross-sectional prevalences, i.e population based) (estepm=%d months): <a href=\"%s\">%s</a><br>\n",
estepm, subdirf2(fileres,"v"),subdirf2(fileres,"v"));	estepm, subdirf2(fileresu,"V_"),subdirf2(fileresu,"V_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- Total life expectancy and total health expectancies to be spent in each health state e<sup>.j</sup> with their standard errors (if popbased=1, an additional computation is done using the cross-sectional prevalences, i.e population based) (estepm=%d months): <a href=\"%s\">%s</a> <br>\n",	- Total life expectancy and total health expectancies to be spent in each health state e<sup>.j</sup> with their standard errors (if popbased=1, an additional computation is done using the cross-sectional prevalences, i.e population based) (estepm=%d months): <a href=\"%s\">%s</a> <br>\n",
estepm, subdirf2(fileres,"t"),subdirf2(fileres,"t"));	estepm, subdirf2(fileresu,"T_"),subdirf2(fileresu,"T_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- Standard deviation of period (stable) prevalences: <a href=\"%s\">%s</a> <br>\n",\	- Standard deviation of period (stable) prevalences: <a href=\"%s\">%s</a> <br>\n",\
subdirf2(fileres,"vpl"),subdirf2(fileres,"vpl"));	subdirf2(fileresu,"VPL_"),subdirf2(fileresu,"VPL_"));

/* if(popforecast==1) fprintf(fichtm,"\n */	/* if(popforecast==1) fprintf(fichtm,"\n */
/* - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n */	/* - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n */
Line 4606 fprintf(fichtm," \n<ul><li><b>Graphs</b>	Line 4831 fprintf(fichtm," \n<ul><li><b>Graphs</b>
if (cptcovn > 0) {	if (cptcovn > 0) {
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates");	fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates");
for (cpt=1; cpt<=cptcoveff;cpt++)	for (cpt=1; cpt<=cptcoveff;cpt++)
fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[jj1][cpt]]);	fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");	fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
}	}
for(cpt=1; cpt<=nlstate;cpt++) {	for(cpt=1; cpt<=nlstate;cpt++) {
fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \	fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \
prevalence (with 95%% confidence interval) in state (%d): %s%d_%d.png <br>\	prevalence (with 95%% confidence interval) in state (%d): %s%d_%d.svg <br>\
<img src=\"%s%d_%d.png\">",cpt,subdirf2(optionfilefiname,"v"),cpt,jj1,subdirf2(optionfilefiname,"v"),cpt,jj1);	<img src=\"%s_%d-%d.svg\">",cpt,subdirf2(optionfilefiname,"V_"),cpt,jj1,subdirf2(optionfilefiname,"V_"),cpt,jj1);
}	}
fprintf(fichtm,"\n<br>- Total life expectancy by age and \	fprintf(fichtm,"\n<br>- Total life expectancy by age and \
health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \	health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \
true period expectancies (those weighted with period prevalences are also\	true period expectancies (those weighted with period prevalences are also\
drawn in addition to the population based expectancies computed using\	drawn in addition to the population based expectancies computed using\
observed and cahotic prevalences: %s%d.png<br>\	observed and cahotic prevalences: %s_%d.svg<br>\
<img src=\"%s%d.png\">",subdirf2(optionfilefiname,"e"),jj1,subdirf2(optionfilefiname,"e"),jj1);	<img src=\"%s_%d.svg\">",subdirf2(optionfilefiname,"E_"),jj1,subdirf2(optionfilefiname,"E_"),jj1);
/* } /\* end i1 \/ /	/* } /\* end i1 \/ /
}/* End k1 */	}/* End k1 */
fprintf(fichtm,"</ul>");	fprintf(fichtm,"</ul>");
Line 4627 true period expectancies (those weighted	Line 4852 true period expectancies (those weighted
}	}

/***************** Gnuplot file ************/	/***************** Gnuplot file ************/
void printinggnuplot(char fileres[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){	void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){

char dirfileres[132],optfileres[132];	char dirfileres[132],optfileres[132];
int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0;	int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0;
int ng=0;	int ng=0;
	int vpopbased;
/* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */	/* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */
/* printf("Problem with file %s",optionfilegnuplot); */	/* printf("Problem with file %s",optionfilegnuplot); */
/* fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */	/* fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */
Line 4642 void printinggnuplot(char fileres[], cha	Line 4868 void printinggnuplot(char fileres[], cha
/#endif /	/#endif /
m=pow(2,cptcoveff);	m=pow(2,cptcoveff);

	/* Contribution to likelihood */
	/* Plot the probability implied in the likelihood */
	fprintf(ficgp,"\n# Contributions to the Likelihood, mle >=1. For mle=4 no interpolation, pure matrix products.\n#\n");
	fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Likelihood (-2Log(L))\";");
	/* fprintf(ficgp,"\nset ter svg size 640, 480"); / / Too big for svg */
	fprintf(ficgp,"\nset ter png size 640, 480");
	/* nice for mle=4 plot by number of matrix products.
	replot "rrtest1/toto.txt" u 2:($4 == 1 && $5==2 ? $9 : 1/0):5 t "p12" with point lc 1 */
	/* replot exp(p1+p2x)/(1+exp(p1+p2x)+exp(p3+p4x)+exp(p5+p6x)) t "p12(x)" */
	/* fprintf(ficgp,"\nset out \"%s.svg\";",subdirf2(optionfilefiname,"ILK_")); */
	fprintf(ficgp,"\nset out \"%s-dest.png\";",subdirf2(optionfilefiname,"ILK_"));
	fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$11):5 t \"All sample, transitions colored by destination\" with dots lc variable; set out;\n",subdirf(fileresilk));
	fprintf(ficgp,"\nset out \"%s-ori.png\";",subdirf2(optionfilefiname,"ILK_"));
	fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$11):4 t \"All sample, transitions colored by origin\" with dots lc variable; set out;\n\n",subdirf(fileresilk));
	for (i=1; i<= nlstate ; i ++) {
	fprintf(ficgp,"\nset out \"%s-p%dj.png\";set ylabel \"Probability for each individual/wave\";",subdirf2(optionfilefiname,"ILK_"),i);
	fprintf(ficgp,"unset log;\n plot \"%s\"",subdirf(fileresilk));
	fprintf(ficgp," u 2:($4 == %d && $5==%d ? $9 : 1/0):5 t \"p%d%d\" with points lc variable \\\n",i,1,i,1);
	for (j=2; j<= nlstate+ndeath ; j ++) {
	fprintf(ficgp,", \"\" u 2:($4 == %d && $5==%d ? $9 : 1/0):5 t \"p%d%d\" with points lc variable ",i,j,i,j);
	}
	fprintf(ficgp,";\nset out; unset ylabel;\n");
	}
	/* unset log; plot "rrtest1_sorted_4/ILK_rrtest1_sorted_4.txt" u 2:($4 == 1 && $5==2 ? $9 : 1/0):5 t "p12" with points lc variable */
	/* fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$11):3 t \"All sample, all transitions\" with dots lc variable",subdirf(fileresilk)); */
	/* fprintf(ficgp,"\nreplot \"%s\" u 2:($3 <= 3 ? -$11 : 1/0):3 t \"First 3 individuals\" with line lc variable", subdirf(fileresilk)); */
	fprintf(ficgp,"\nset out;unset log\n");
	/* fprintf(ficgp,"\nset out \"%s.svg\"; replot; set out; # bug gnuplot",subdirf2(optionfilefiname,"ILK_")); */

strcpy(dirfileres,optionfilefiname);	strcpy(dirfileres,optionfilefiname);
strcpy(optfileres,"vpl");	strcpy(optfileres,"vpl");
/* 1eme*/	/* 1eme*/
fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'vpl' files\n");	fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'VPL_' files\n");
for (cpt=1; cpt<= nlstate ; cpt ++) {	for (cpt=1; cpt<= nlstate ; cpt ++) {
for (k1=1; k1<= m ; k1 ++) { /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */	for (k1=1; k1<= m ; k1 ++) { /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */
fprintf(ficgp,"\nset out \"%s%d_%d.png\" \n",subdirf2(optionfilefiname,"v"),cpt,k1);	fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1);
fprintf(ficgp,"\n#set out \"v%s%d_%d.png\" \n",optionfilefiname,cpt,k1);	fprintf(ficgp,"\n#set out \"V_%s_%d-%d.svg\" \n",optionfilefiname,cpt,k1);
fprintf(ficgp,"set xlabel \"Age\" \n\	fprintf(ficgp,"set xlabel \"Age\" \n\
set ylabel \"Probability\" \n\	set ylabel \"Probability\" \n\
set ter png small size 320, 240\n\	set ter svg size 640, 480\n\
plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"%%lf",ageminpar,fage,subdirf2(fileres,"vpl"),k1-1,k1-1);	plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"%%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1);

for (i=1; i<= nlstate ; i ++) {	for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," %%lf (%%lf)");	if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," %%lf (%%lf)");	else fprintf(ficgp," %%lf (%%lf)");
}	}
fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);	fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1);
for (i=1; i<= nlstate ; i ++) {	for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," %%lf (%%lf)");	if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," %%lf (%%lf)");	else fprintf(ficgp," %%lf (%%lf)");
}	}
fprintf(ficgp,"\" t\"95%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);	fprintf(ficgp,"\" t\"95%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1);
for (i=1; i<= nlstate ; i ++) {	for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," %%lf (%%lf)");	if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," %%lf (%%lf)");	else fprintf(ficgp," %%lf (%%lf)");
}	}
fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l lt 2",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1));	fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l lt 2",subdirf2(fileresu,"P_"),k1-1,k1-1,2+4*(cpt-1));
}	fprintf(ficgp,"\nset out \n");
}	} /* k1 */
	} /* cpt */
/2 eme/	/2 eme/
fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files\n");	fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files\n");
for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) {
fprintf(ficgp,"\nset out \"%s%d.png\" \n",subdirf2(optionfilefiname,"e"),k1);	fprintf(ficgp,"\nset out \"%s_%d.svg\" \n",subdirf2(optionfilefiname,"E_"),k1);
fprintf(ficgp,"set ylabel \"Years\" \nset ter png small size 320, 240\nplot [%.f:%.f] ",ageminpar,fage);	for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/
	if(vpopbased==0)
for (i=1; i<= nlstate+1 ; i ++) {	fprintf(ficgp,"set ylabel \"Years\" \nset ter svg size 640, 480\nplot [%.f:%.f] ",ageminpar,fage);
k=2*i;	else
fprintf(ficgp,"\"%s\" every :::%d::%d u 1:2 \"%%lf",subdirf2(fileres,"t"),k1-1,k1-1);	fprintf(ficgp,"\nreplot ");
for (j=1; j<= nlstate+1 ; j ++) {	for (i=1; i<= nlstate+1 ; i ++) {
if (j==i) fprintf(ficgp," %%lf (%%lf)");	k=2*i;
else fprintf(ficgp," %%lf (%%lf)");	fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ?$4 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1, vpopbased);
}	for (j=1; j<= nlstate+1 ; j ++) {
if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,");	if (j==i) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1);	else fprintf(ficgp," %%lf (%%lf)");
fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2-$3*2) \"%%lf",subdirf2(fileres,"t"),k1-1,k1-1);	}
for (j=1; j<= nlstate+1 ; j ++) {	if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l lt %d, \\\n",i);
if (j==i) fprintf(ficgp," %%lf (%%lf)");	else fprintf(ficgp,"\" t\"LE in state (%d)\" w l lt %d, \\\n",i-1,i+1);
else fprintf(ficgp," %%lf (%%lf)");	fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4-$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased);
}	for (j=1; j<= nlstate+1 ; j ++) {
fprintf(ficgp,"\" t\"\" w l lt 0,");	if (j==i) fprintf(ficgp," %%lf (%%lf)");
fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2+$3*2) \"%%lf",subdirf2(fileres,"t"),k1-1,k1-1);	else fprintf(ficgp," %%lf (%%lf)");
for (j=1; j<= nlstate+1 ; j ++) {	}
if (j==i) fprintf(ficgp," %%lf (%%lf)");	fprintf(ficgp,"\" t\"\" w l lt 0,");
else fprintf(ficgp," %%lf (%%lf)");	fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4+$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased);
}	for (j=1; j<= nlstate+1 ; j ++) {
if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0");	if (j==i) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp,"\" t\"\" w l lt 0,");	else fprintf(ficgp," %%lf (%%lf)");
}	}
}	if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0");
	else fprintf(ficgp,"\" t\"\" w l lt 0,\\\n");
	} /* state */
	} /* vpopbased */
	fprintf(ficgp,"\nset out;set out \"%s_%d.svg\"; replot; set out; \n",subdirf2(optionfilefiname,"E_"),k1); /* Buggy gnuplot */
	} /* k1 */
/3eme/	/3eme/

for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) {
for (cpt=1; cpt<= nlstate ; cpt ++) {	for (cpt=1; cpt<= nlstate ; cpt ++) {
/* k=2+nlstate(2cpt-2); */	/* k=2+nlstate(2cpt-2); */
k=2+(nlstate+1)*(cpt-1);	k=2+(nlstate+1)*(cpt-1);
fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1);	fprintf(ficgp,"\nset out \"%s_%d%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1);
fprintf(ficgp,"set ter png small size 320, 240\n\	fprintf(ficgp,"set ter svg size 640, 480\n\
plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileres,"e"),k1-1,k1-1,k,cpt);	plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),k1-1,k1-1,k,cpt);
/fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);	/fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");	for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
fprintf(ficgp,"\" t \"e%d1\" w l",cpt);	fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
Line 4721 plot [%.f:%.f] \"%s\" every :::%d::%d u	Line 4981 plot [%.f:%.f] \"%s\" every :::%d::%d u

*/	*/
for (i=1; i< nlstate ; i ++) {	for (i=1; i< nlstate ; i ++) {
fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+i,cpt,i+1);	fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+i,cpt,i+1);
/* fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2i,cpt,i+1);/	/* fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2i,cpt,i+1);/

}	}
fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+nlstate,cpt);	fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+nlstate,cpt);
}	}
}	}

/* CV preval stable (period) */	/* Survival functions (period) from state i in state j by initial state i */
for (k1=1; k1<= m ; k1 ++) { /* For each multivariate if any */	for (k1=1; k1<= m ; k1 ++) { /* For each multivariate if any */
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */	for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
k=3;	k=3;
	fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'lij' files, cov=%d state=%d",k1, cpt);
	fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),cpt,k1);
	fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\
	set ter svg size 640, 480\n\
	unset log y\n\
	plot [%.f:%.f] ", ageminpar, agemaxpar);
	for (i=1; i<= nlstate ; i ++){
	if(i==1)
	fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_"));
	else
	fprintf(ficgp,", '' ");
	l=(nlstate+ndeath)*(i-1)+1;
	fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l);
	for (j=2; j<= nlstate+ndeath ; j ++)
	fprintf(ficgp,"+$%d",k+l+j-1);
	fprintf(ficgp,")) t \"l(%d,%d)\" w l",i,cpt);
	} /* nlstate */
	fprintf(ficgp,"\nset out\n");
	} /* end cpt state*/
	} /* end covariate */

	/* Survival functions (period) from state i in state j by final state j */
	for (k1=1; k1<= m ; k1 ++) { /* For each covariate if any */
	for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */
	k=3;
	fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt);
	fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1);
	fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\
	set ter svg size 640, 480\n\
	unset log y\n\
	plot [%.f:%.f] ", ageminpar, agemaxpar);
	for (j=1; j<= nlstate ; j ++){ /* Lived in state j */
	if(j==1)
	fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_"));
	else
	fprintf(ficgp,", '' ");
	l=(nlstate+ndeath)*(cpt-1) +j;
	fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):($%d",k1,k+l);
	/* for (i=2; i<= nlstate+ndeath ; i ++) */
	/* fprintf(ficgp,"+$%d",k+l+i-1); */
	fprintf(ficgp,") t \"l(%d,%d)\" w l",cpt,j);
	} /* nlstate */
	fprintf(ficgp,", '' ");
	fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):(",k1);
	for (j=1; j<= nlstate ; j ++){ /* Lived in state j */
	l=(nlstate+ndeath)*(cpt-1) +j;
	if(j < nlstate)
	fprintf(ficgp,"$%d +",k+l);
	else
	fprintf(ficgp,"$%d) t\"l(%d,.)\" w l",k+l,cpt);
	}
	fprintf(ficgp,"\nset out\n");
	} /* end cpt state*/
	} /* end covariate */

	/* CV preval stable (period) for each covariate */
	for (k1=1; k1<= m ; k1 ++) { /* For each covariate if any */
	for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
	k=3;
fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, cov=%d state=%d",k1, cpt);	fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, cov=%d state=%d",k1, cpt);
fprintf(ficgp,"\nset out \"%s%d_%d.png\" \n",subdirf2(optionfilefiname,"p"),cpt,k1);	fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),cpt,k1);
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\	fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\
set ter png small size 320, 240\n\	set ter svg size 640, 480\n\
unset log y\n\	unset log y\n\
plot [%.f:%.f] ", ageminpar, agemaxpar);	plot [%.f:%.f] ", ageminpar, agemaxpar);
for (i=1; i<= nlstate ; i ++){	for (i=1; i<= nlstate ; i ++){
if(i==1)	if(i==1)
fprintf(ficgp,"\"%s\"",subdirf2(fileres,"pij"));	fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_"));
else	else
fprintf(ficgp,", '' ");	fprintf(ficgp,", '' ");
l=(nlstate+ndeath)*(i-1)+1;	l=(nlstate+ndeath)*(i-1)+1;
fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l);	fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l);
for (j=1; j<= (nlstate-1) ; j ++)	for (j=2; j<= nlstate ; j ++)
fprintf(ficgp,"+$%d",k+l+j);	fprintf(ficgp,"+$%d",k+l+j-1);
fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt);	fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt);
} /* nlstate */	} /* nlstate */
fprintf(ficgp,"\n");	fprintf(ficgp,"\nset out\n");
} /* end cpt state*/	} /* end cpt state*/
} /* end covariate */	} /* end covariate */

/* proba elementaires */	/* proba elementaires */
fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n");	fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n");
for(i=1,jk=1; i <=nlstate; i++){	for(i=1,jk=1; i <=nlstate; i++){
Line 4772 plot [%.f:%.f] ", ageminpar, agemaxpar)	Line 5091 plot [%.f:%.f] ", ageminpar, agemaxpar)
fprintf(ficgp,"##############\n#\n");	fprintf(ficgp,"##############\n#\n");

/goto avoid;/	/goto avoid;/
fprintf(ficgp,"\n##############\n#Graphics of of probabilities or incidences\n#############\n");	fprintf(ficgp,"\n##############\n#Graphics of probabilities or incidences\n#############\n");
fprintf(ficgp,"# logi(p12/p11)=a12+b12age+c12ageage+d12V1+e12V1*age\n");	fprintf(ficgp,"# logi(p12/p11)=a12+b12age+c12ageage+d12V1+e12V1*age\n");
fprintf(ficgp,"# logi(p12/p11)=p1 +p2age +p3ageage+ p4V1+ p5V1age\n");	fprintf(ficgp,"# logi(p12/p11)=p1 +p2age +p3ageage+ p4V1+ p5V1age\n");
fprintf(ficgp,"# logi(p13/p11)=a13+b13age+c13ageage+d13V1+e13V1*age\n");	fprintf(ficgp,"# logi(p13/p11)=a13+b13age+c13ageage+d13V1+e13V1*age\n");
Line 4786 plot [%.f:%.f] ", ageminpar, agemaxpar)	Line 5105 plot [%.f:%.f] ", ageminpar, agemaxpar)
fprintf(ficgp,"# +exp(a13+b13age+c13ageage+d13V1+e13V1*age))\n");	fprintf(ficgp,"# +exp(a13+b13age+c13ageage+d13V1+e13V1*age))\n");
fprintf(ficgp,"# +exp(a14+b14age+c14ageage+d14V1+e14V1*age)+...)\n");	fprintf(ficgp,"# +exp(a14+b14age+c14ageage+d14V1+e14V1*age)+...)\n");
fprintf(ficgp,"#\n");	fprintf(ficgp,"#\n");
for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/	for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/
fprintf(ficgp,"# ng=%d\n",ng);	fprintf(ficgp,"# ng=%d\n",ng);
fprintf(ficgp,"# jk=1 to 2^%d=%d\n",cptcoveff,m);	fprintf(ficgp,"# jk=1 to 2^%d=%d\n",cptcoveff,m);
for(jk=1; jk <=m; jk++) {	for(jk=1; jk <=m; jk++) {
fprintf(ficgp,"# jk=%d\n",jk);	fprintf(ficgp,"# jk=%d\n",jk);
fprintf(ficgp,"\nset out \"%s%d_%d.png\" \n",subdirf2(optionfilefiname,"pe"),jk,ng);	fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),jk,ng);
if (ng==2)	fprintf(ficgp,"\nset ter svg size 640, 480 ");
	if (ng==1){
	fprintf(ficgp,"\nset ylabel \"Value of the logit of the model\"\n"); /* exp(a12+b12x) could be nice /
	fprintf(ficgp,"\nunset log y");
	}else if (ng==2){
	fprintf(ficgp,"\nset ylabel \"Probability\"\n");
	fprintf(ficgp,"\nset log y");
	}else if (ng==3){
fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");	fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");
else	fprintf(ficgp,"\nset log y");
fprintf(ficgp,"\nset title \"Probability\"\n");	}else
fprintf(ficgp,"\nset ter png small size 320, 240\nset log y\nplot [%.f:%.f] ",ageminpar,agemaxpar);	fprintf(ficgp,"\nunset title ");
	fprintf(ficgp,"\nplot [%.f:%.f] ",ageminpar,agemaxpar);
i=1;	i=1;
for(k2=1; k2<=nlstate; k2++) {	for(k2=1; k2<=nlstate; k2++) {
k3=i;	k3=i;
for(k=1; k<=(nlstate+ndeath); k++) {	for(k=1; k<=(nlstate+ndeath); k++) {
if (k != k2){	if (k != k2){
if(ng==2)	switch( ng) {
	case 1:
if(nagesqr==0)	if(nagesqr==0)
fprintf(ficgp," %fexp(p%d+p%dx",YEARM/stepm,i,i+1);	fprintf(ficgp," p%d+p%d*x",i,i+1);
else /* nagesqr =1 */	else /* nagesqr =1 */
fprintf(ficgp," %fexp(p%d+p%dx+p%dxx",YEARM/stepm,i,i+1,i+1+nagesqr);	fprintf(ficgp," p%d+p%dx+p%dx*x",i,i+1,i+1+nagesqr);
else	break;
	case 2: /* ng=2 */
if(nagesqr==0)	if(nagesqr==0)
fprintf(ficgp," exp(p%d+p%d*x",i,i+1);	fprintf(ficgp," exp(p%d+p%d*x",i,i+1);
else /* nagesqr =1 */	else /* nagesqr =1 */
fprintf(ficgp," exp(p%d+p%dx+p%dx*x",i,i+1,i+1+nagesqr);	fprintf(ficgp," exp(p%d+p%dx+p%dx*x",i,i+1,i+1+nagesqr);
	break;
	case 3:
	if(nagesqr==0)
	fprintf(ficgp," %fexp(p%d+p%dx",YEARM/stepm,i,i+1);
	else /* nagesqr =1 */
	fprintf(ficgp," %fexp(p%d+p%dx+p%dxx",YEARM/stepm,i,i+1,i+1+nagesqr);
	break;
	}
ij=1;/* To be checked else nbcode[0][0] wrong */	ij=1;/* To be checked else nbcode[0][0] wrong */
for(j=3; j <=ncovmodel-nagesqr; j++) {	for(j=3; j <=ncovmodel-nagesqr; j++) {
if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { /* Bug valgrind */	/* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */
fprintf(ficgp,"+p%d%dx",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);	if(ij <=cptcovage) { /* Bug valgrind */
ij++;	if((j-2)==Tage[ij]) { /* Bug valgrind */
	fprintf(ficgp,"+p%d%dx",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
	/* fprintf(ficgp,"+p%d%dx",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,Tvar[j-2])]); */
	ij++;
	}
}	}
else	else
fprintf(ficgp,"+p%d*%d",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);	fprintf(ficgp,"+p%d*%d",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
}	}
fprintf(ficgp,")/(1");	if(ng != 1){
	fprintf(ficgp,")/(1");

for(k1=1; k1 <=nlstate; k1++){	for(k1=1; k1 <=nlstate; k1++){
if(nagesqr==0)	if(nagesqr==0)
fprintf(ficgp,"+exp(p%d+p%dx",k3+(k1-1)ncovmodel,k3+(k1-1)*ncovmodel+1);	fprintf(ficgp,"+exp(p%d+p%dx",k3+(k1-1)ncovmodel,k3+(k1-1)*ncovmodel+1);
else /* nagesqr =1 */	else /* nagesqr =1 */
fprintf(ficgp,"+exp(p%d+p%dx+p%dxx",k3+(k1-1)ncovmodel,k3+(k1-1)ncovmodel+1,k3+(k1-1)ncovmodel+1+nagesqr);	fprintf(ficgp,"+exp(p%d+p%dx+p%dxx",k3+(k1-1)ncovmodel,k3+(k1-1)ncovmodel+1,k3+(k1-1)ncovmodel+1+nagesqr);

ij=1;	ij=1;
for(j=3; j <=ncovmodel-nagesqr; j++){	for(j=3; j <=ncovmodel-nagesqr; j++){
if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {	if(ij <=cptcovage) { /* Bug valgrind */
fprintf(ficgp,"+p%d%dx",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);	if((j-2)==Tage[ij]) { /* Bug valgrind */
ij++;	fprintf(ficgp,"+p%d%dx",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
	/* fprintf(ficgp,"+p%d%dx",k3+(k1-1)ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,Tvar[j-2])]); /
	ij++;
	}
	}
	else
	fprintf(ficgp,"+p%d%d",k3+(k1-1)ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
}	}
else	fprintf(ficgp,")");
fprintf(ficgp,"+p%d%d",k3+(k1-1)ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
}	}
fprintf(ficgp,")");	fprintf(ficgp,")");
	if(ng ==2)
	fprintf(ficgp," t \"p%d%d\" ", k2,k);
	else /* ng= 3 */
	fprintf(ficgp," t \"i%d%d\" ", k2,k);
	}else{ /* end ng <> 1 */
	fprintf(ficgp," t \"logit(p%d%d)\" ", k2,k);
}	}
fprintf(ficgp,") t \"p%d%d\" ", k2,k);
if ((k+k2)!= (nlstate*2+ndeath)) fprintf(ficgp,",");	if ((k+k2)!= (nlstate*2+ndeath)) fprintf(ficgp,",");
i=i+ncovmodel;	i=i+ncovmodel;
}	}
} /* end k */	} /* end k */
} /* end k2 */	} /* end k2 */
	fprintf(ficgp,"\n set out\n");
} /* end jk */	} /* end jk */
} /* end ng */	} /* end ng */
/* avoid: */	/* avoid: */
Line 4913 void prevforecast(char fileres[], double	Line 5266 void prevforecast(char fileres[], double
agelim=AGESUP;	agelim=AGESUP;
prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);	prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);

strcpy(fileresf,"f");	strcpy(fileresf,"F_");
strcat(fileresf,fileres);	strcat(fileresf,fileresu);
if((ficresf=fopen(fileresf,"w"))==NULL) {	if((ficresf=fopen(fileresf,"w"))==NULL) {
printf("Problem with forecast resultfile: %s\n", fileresf);	printf("Problem with forecast resultfile: %s\n", fileresf);
fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf);	fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf);
Line 4963 void prevforecast(char fileres[], double	Line 5316 void prevforecast(char fileres[], double
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, hpijx=probability over h years, hp.jx is weighted by observed prev ",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]][codtabm(k,j)]);
}	}
fprintf(ficresf,"******\n");	fprintf(ficresf,"******\n");
fprintf(ficresf,"# Covariate valuofcovar yearproj age");	fprintf(ficresf,"# Covariate valuofcovar yearproj age");
Line 4987 void prevforecast(char fileres[], double	Line 5340 void prevforecast(char fileres[], double
if (hhstepm/YEARMstepm ==yearp) {	if (hhstepm/YEARMstepm ==yearp) {
fprintf(ficresf,"\n");	fprintf(ficresf,"\n");
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+hhstepm/YEARMstepm);	fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+hhstepm/YEARMstepm);
}	}
for(j=1; j<=nlstate+ndeath;j++) {	for(j=1; j<=nlstate+ndeath;j++) {
Line 5037 void populforecast(char fileres[], doubl	Line 5390 void populforecast(char fileres[], doubl
prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);	prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);


strcpy(filerespop,"pop");	strcpy(filerespop,"POP_");
strcat(filerespop,fileres);	strcat(filerespop,fileresu);
if((ficrespop=fopen(filerespop,"w"))==NULL) {	if((ficrespop=fopen(filerespop,"w"))==NULL) {
printf("Problem with forecast resultfile: %s\n", filerespop);	printf("Problem with forecast resultfile: %s\n", filerespop);
fprintf(ficlog,"Problem with forecast resultfile: %s\n", filerespop);	fprintf(ficlog,"Problem with forecast resultfile: %s\n", filerespop);
Line 5085 void populforecast(char fileres[], doubl	Line 5438 void populforecast(char fileres[], doubl
k=k+1;	k=k+1;
fprintf(ficrespop,"\n#******");	fprintf(ficrespop,"\n#******");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcoveff;j++) {
fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
}	}
fprintf(ficrespop,"******\n");	fprintf(ficrespop,"******\n");
fprintf(ficrespop,"# Age");	fprintf(ficrespop,"# Age");
Line 5391 double gompertz_f(const gsl_vector *v, v	Line 5744 double gompertz_f(const gsl_vector *v, v
#endif	#endif

/***************** Printing html file *********/	/***************** Printing html file *********/
void printinghtmlmort(char fileres[], char title[], char datafile[], int firstpass, \	void printinghtmlmort(char fileresu[], char title[], char datafile[], int firstpass, \
int lastpass, int stepm, int weightopt, char model[],\	int lastpass, int stepm, int weightopt, char model[],\
int imx, double p[],double **matcov,double agemortsup){	int imx, double p[],double **matcov,double agemortsup){
int i,k;	int i,k;
Line 5400 void printinghtmlmort(char fileres[], ch	Line 5753 void printinghtmlmort(char fileres[], ch
fprintf(fichtm," mu(age) =%lfexp(%lf(age-%d)) per year<br><br>",p[1],p[2],agegomp);	fprintf(fichtm," mu(age) =%lfexp(%lf(age-%d)) per year<br><br>",p[1],p[2],agegomp);
for (i=1;i<=2;i++)	for (i=1;i<=2;i++)
fprintf(fichtm," p[%d] = %lf [%f ; %f]<br>\n",i,p[i],p[i]-2sqrt(matcov[i][i]),p[i]+2sqrt(matcov[i][i]));	fprintf(fichtm," p[%d] = %lf [%f ; %f]<br>\n",i,p[i],p[i]-2sqrt(matcov[i][i]),p[i]+2sqrt(matcov[i][i]));
fprintf(fichtm,"<br><br><img src=\"graphmort.png\">");	fprintf(fichtm,"<br><br><img src=\"graphmort.svg\">");
fprintf(fichtm,"</ul>");	fprintf(fichtm,"</ul>");

fprintf(fichtm,"<ul><li><h4>Life table</h4>\n <br>");	fprintf(fichtm,"<ul><li><h4>Life table</h4>\n <br>");
Line 5415 fprintf(fichtm,"<ul><li><h4>Life table</	Line 5768 fprintf(fichtm,"<ul><li><h4>Life table</
}	}

/***************** Gnuplot file ************/	/***************** Gnuplot file ************/
void printinggnuplotmort(char fileres[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){	void printinggnuplotmort(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){

char dirfileres[132],optfileres[132];	char dirfileres[132],optfileres[132];

Line 5429 void printinggnuplotmort(char fileres[],	Line 5782 void printinggnuplotmort(char fileres[],

strcpy(dirfileres,optionfilefiname);	strcpy(dirfileres,optionfilefiname);
strcpy(optfileres,"vpl");	strcpy(optfileres,"vpl");
fprintf(ficgp,"set out \"graphmort.png\"\n ");	fprintf(ficgp,"set out \"graphmort.svg\"\n ");
fprintf(ficgp,"set xlabel \"Age\"\n set ylabel \"Force of mortality (per year)\" \n ");	fprintf(ficgp,"set xlabel \"Age\"\n set ylabel \"Force of mortality (per year)\" \n ");
fprintf(ficgp, "set ter png small size 320, 240\n set log y\n");	fprintf(ficgp, "set ter svg size 640, 480\n set log y\n");
/* fprintf(ficgp, "set size 0.65,0.65\n"); */	/* fprintf(ficgp, "set size 0.65,0.65\n"); */
fprintf(ficgp,"plot [%d:100] %lfexp(%lf(x-%d))",agegomp,p[1],p[2],agegomp);	fprintf(ficgp,"plot [%d:100] %lfexp(%lf(x-%d))",agegomp,p[1],p[2],agegomp);

Line 5742 int decodemodel ( char model[], int last	Line 6095 int decodemodel ( char model[], int last
/* k=1 Tvar[1]=2 (from V2) */	/* k=1 Tvar[1]=2 (from V2) */
/* k=5 Tvar[5] */	/* k=5 Tvar[5] */
/* for (k=1; k<=cptcovn;k++) { */	/* for (k=1; k<=cptcovn;k++) { */
/* cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; */	/* cov[2+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */
/* } */	/* } */
/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtab[ij][Tvar[Tage[k]]]]cov[2]; /	/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k])]]cov[2]; /
/*	/*
* Treating invertedly V2+V1+V3age+V2V4 is as if written V2V4 +V3age + V1 + V2 */	* Treating invertedly V2+V1+V3age+V2V4 is as if written V2V4 +V3age + V1 + V2 */
for(k=cptcovt; k>=1;k--) /*< Number of covariates /	for(k=cptcovt; k>=1;k--) /*< Number of covariates /
Line 6122 void syscompilerinfo(int logged)	Line 6475 void syscompilerinfo(int logged)

}	}

int prevalence_limit(double p, double *prlim, double ageminpar, double agemaxpar){	int prevalence_limit(double p, double prlim, double ageminpar, double agemaxpar, double ftolpl, int ncvyear){
/--------------- Prevalence limit (period or stable prevalence) --------------/	/--------------- Prevalence limit (period or stable prevalence) --------------/
int i, j, k, i1 ;	int i, j, k, i1 ;
double ftolpl = 1.e-10;	/* double ftolpl = 1.e-10; */
double age, agebase, agelim;	double age, agebase, agelim;
	double tot;

strcpy(filerespl,"pl");	strcpy(filerespl,"PL_");
strcat(filerespl,fileres);	strcat(filerespl,fileresu);
if((ficrespl=fopen(filerespl,"w"))==NULL) {	if((ficrespl=fopen(filerespl,"w"))==NULL) {
printf("Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1;	printf("Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1;
fprintf(ficlog,"Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1;	fprintf(ficlog,"Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1;
}	}
printf("Computing period (stable) prevalence: result on file '%s' \n", filerespl);	printf("Computing period (stable) prevalence: result on file '%s' \n", filerespl);
fprintf(ficlog,"Computing period (stable) prevalence: result on file '%s' \n", filerespl);	fprintf(ficlog,"Computing period (stable) prevalence: result on file '%s' \n", filerespl);
pstamp(ficrespl);	pstamp(ficrespl);
fprintf(ficrespl,"# Period (stable) prevalence \n");	fprintf(ficrespl,"# Period (stable) prevalence. Precision given by ftolpl=%g \n", ftolpl);
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);/ / back in main */	/* prlim=matrix(1,nlstate,1,nlstate);/ / back in main */

Line 6155 int prevalence_limit(double p, double	Line 6509 int prevalence_limit(double p, double
//for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){	//for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
k=k+1;	k=k+1;
/* to clean */	/* to clean */
//printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtab[cptcod][cptcov]);	//printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));
fprintf(ficrespl,"\n#******");	fprintf(ficrespl,"#******");
printf("\n#******");	printf("#******");
fprintf(ficlog,"\n#******");	fprintf(ficlog,"#******");
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]][codtabm(k,j)]);
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(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]][codtabm(k,j)]);
}	}
fprintf(ficrespl,"******\n");	fprintf(ficrespl,"******\n");
printf("******\n");	printf("******\n");
Line 6170 int prevalence_limit(double p, double	Line 6524 int prevalence_limit(double p, double

fprintf(ficrespl,"#Age ");	fprintf(ficrespl,"#Age ");
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]][codtabm(k,j)]);
}	}
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,"Total Years_to_converge\n");

for (age=agebase; age<=agelim; age++){	for (age=agebase; age<=agelim; age++){
/* for (age=agebase; age<=agebase; age++){ */	/* for (age=agebase; age<=agebase; age++){ */
prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);	prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyear, k);
fprintf(ficrespl,"%.0f ",age );	fprintf(ficrespl,"%.0f ",age );
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
for(i=1; i<=nlstate;i++)	tot=0.;
	for(i=1; i<=nlstate;i++){
	tot += prlim[i][i];
fprintf(ficrespl," %.5f", prlim[i][i]);	fprintf(ficrespl," %.5f", prlim[i][i]);
fprintf(ficrespl,"\n");	}
	fprintf(ficrespl," %.3f %d\n", tot, *ncvyear);
} /* Age */	} /* Age */
/* was end of cptcod */	/* was end of cptcod */
} /* cptcov */	} /* cptcov */
Line 6202 int hPijx(double *p, int bage, int fage)	Line 6559 int hPijx(double *p, int bage, int fage)
double agedeb;	double agedeb;
double ***p3mat;	double ***p3mat;

strcpy(filerespij,"pij"); strcat(filerespij,fileres);	strcpy(filerespij,"PIJ_"); strcat(filerespij,fileresu);
if((ficrespij=fopen(filerespij,"w"))==NULL) {	if((ficrespij=fopen(filerespij,"w"))==NULL) {
printf("Problem with Pij resultfile: %s\n", filerespij); return 1;	printf("Problem with Pij resultfile: %s\n", filerespij); return 1;
fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij); return 1;	fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij); return 1;
Line 6227 int hPijx(double *p, int bage, int fage)	Line 6584 int hPijx(double *p, int bage, int fage)
for (k=1; k <= (int) pow(2,cptcoveff); k++){	for (k=1; k <= (int) pow(2,cptcoveff); k++){
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]][codtabm(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 */
Line 6276 int main(int argc, char *argv[])	Line 6633 int main(int argc, char *argv[])
#endif	#endif
int movingaverage(double *probs, double bage,double fage, double *mobaverage, int mobilav);	int movingaverage(double *probs, double bage,double fage, double *mobaverage, int mobilav);
int i,j, k, n=MAXN,iter=0,m,size=100, cptcod;	int i,j, k, n=MAXN,iter=0,m,size=100, cptcod;
	int ncvyearnp=0;
	int ncvyear=&ncvyearnp; / Number of years needed for the period prevalence to converge */
int jj, ll, li, lj, lk;	int jj, ll, li, lj, lk;
int numlinepar=0; /* Current linenumber of parameter file */	int numlinepar=0; /* Current linenumber of parameter file */
	int num_filled;
int itimes;	int itimes;
int NDIM=2;	int NDIM=2;
int vpopbased=0;	int vpopbased=0;
Line 6297 int main(int argc, char *argv[])	Line 6656 int main(int argc, char *argv[])
double ***mobaverage;	double ***mobaverage;

char line[MAXLINE];	char line[MAXLINE];
char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE],model[MAXLINE];	char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE];

	char model[MAXLINE], modeltemp[MAXLINE];
char pathr[MAXLINE], pathimach[MAXLINE];	char pathr[MAXLINE], pathimach[MAXLINE];
char tok, val; /* pathtot */	char tok, val; /* pathtot */
int firstobs=1, lastobs=10;	int firstobs=1, lastobs=10;
Line 6321 int main(int argc, char *argv[])	Line 6682 int main(int argc, char *argv[])
double **param; / Matrix of parameters */	double **param; / Matrix of parameters */
double *p;	double *p;
double *matcov; / Matrix of covariance */	double *matcov; / Matrix of covariance */
	double *hess; / Hessian matrix */
double **delti3; / Scale */	double **delti3; / Scale */
double delti; / Scale */	double delti; / Scale */
double *eij, *vareij;	double *eij, *vareij;
Line 6441 int main(int argc, char *argv[])	Line 6803 int main(int argc, char *argv[])
goto end;	goto end;
}	}
fprintf(ficlog,"Log filename:%s\n",filelog);	fprintf(ficlog,"Log filename:%s\n",filelog);
fprintf(ficlog,"\n%s\n%s",version,fullversion);	fprintf(ficlog,"Version %s %s",version,fullversion);
fprintf(ficlog,"\nEnter the parameter file name: \n");	fprintf(ficlog,"\nEnter the parameter file name: \n");
fprintf(ficlog,"pathimach=%s\npathtot=%s\n\	fprintf(ficlog,"pathimach=%s\npathtot=%s\n\
path=%s \n\	path=%s \n\
Line 6449 int main(int argc, char *argv[])	Line 6811 int main(int argc, char *argv[])
optionfilext=%s\n\	optionfilext=%s\n\
optionfilefiname='%s'\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname);	optionfilefiname='%s'\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname);

syscompilerinfo(0);	syscompilerinfo(1);

printf("Local time (at start):%s",strstart);	printf("Local time (at start):%s",strstart);
fprintf(ficlog,"Local time (at start): %s",strstart);	fprintf(ficlog,"Local time (at start): %s",strstart);
Line 6460 int main(int argc, char *argv[])	Line 6822 int main(int argc, char *argv[])
/* */	/* */
strcpy(fileres,"r");	strcpy(fileres,"r");
strcat(fileres, optionfilefiname);	strcat(fileres, optionfilefiname);
	strcat(fileresu, optionfilefiname); /* Without r in front */
strcat(fileres,".txt"); /* Other files have txt extension */	strcat(fileres,".txt"); /* Other files have txt extension */
	strcat(fileresu,".txt"); /* Other files have txt extension */

/* Main ---------arguments file --------*/	/* Main ---------arguments file --------*/

Line 6475 int main(int argc, char *argv[])	Line 6839 int main(int argc, char *argv[])


strcpy(filereso,"o");	strcpy(filereso,"o");
strcat(filereso,fileres);	strcat(filereso,fileresu);
if((ficparo=fopen(filereso,"w"))==NULL) { /* opened on subdirectory */	if((ficparo=fopen(filereso,"w"))==NULL) { /* opened on subdirectory */
printf("Problem with Output resultfile: %s\n", filereso);	printf("Problem with Output resultfile: %s\n", filereso);
fprintf(ficlog,"Problem with Output resultfile: %s\n", filereso);	fprintf(ficlog,"Problem with Output resultfile: %s\n", filereso);
Line 6485 int main(int argc, char *argv[])	Line 6849 int main(int argc, char *argv[])

/* Reads comments: lines beginning with '#' */	/* Reads comments: lines beginning with '#' */
numlinepar=0;	numlinepar=0;
while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	/* First parameter line */
fgets(line, MAXLINE, ficpar);	while(fgets(line, MAXLINE, ficpar)) {
	/* If line starts with a # it is a comment */
	if (line[0] == '#') {
	numlinepar++;
	fputs(line,stdout);
	fputs(line,ficparo);
	fputs(line,ficlog);
	continue;
	}else
	break;
	}
	if((num_filled=sscanf(line,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", \
	title, datafile, &lastobs, &firstpass,&lastpass)) !=EOF){
	if (num_filled != 5) {
	printf("Should be 5 parameters\n");
	}
numlinepar++;	numlinepar++;
fputs(line,stdout);	printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", title, datafile, lastobs, firstpass,lastpass);
fputs(line,ficparo);
fputs(line,ficlog);
}	}
ungetc(c,ficpar);	/* Second parameter line */
	while(fgets(line, MAXLINE, ficpar)) {
fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=1+age+%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);	/* If line starts with a # it is a comment */
numlinepar=numlinepar+3; /* In general */	if (line[0] == '#') {
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=1+age+%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model);	numlinepar++;
if(model[strlen(model)-1]=='.') /* Suppressing leading dot in the model */	fputs(line,stdout);
model[strlen(model)-1]='\0';	fputs(line,ficparo);
	fputs(line,ficlog);
	continue;
	}else
	break;
	}
	if((num_filled=sscanf(line,"ftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n", \
	&ftol, &stepm, &ncovcol, &nlstate, &ndeath, &maxwav, &mle, &weightopt)) !=EOF){
	if (num_filled != 8) {
	printf("Not 8\n");
	}
	printf("ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n",ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt);
	}
	/* ftolpl=6ftol1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit \/ /
	ftolpl=6.e-3; /* 6.e-3 make convergences in less than 80 loops for the prevalence limit */
	/* Third parameter line */
	while(fgets(line, MAXLINE, ficpar)) {
	/* If line starts with a # it is a comment */
	if (line[0] == '#') {
	numlinepar++;
	fputs(line,stdout);
	fputs(line,ficparo);
	fputs(line,ficlog);
	continue;
	}else
	break;
	}
	if((num_filled=sscanf(line,"model=1+age%[^.\n]", model)) !=EOF){
	if (num_filled == 0)
	model[0]='\0';
	else if (num_filled != 1){
	printf("ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line);
	fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line);
	model[0]='\0';
	goto end;
	}
	else{
	if (model[0]=='+'){
	for(i=1; i<=strlen(model);i++)
	modeltemp[i-1]=model[i];
	strcpy(model,modeltemp);
	}
	}
	/* printf(" model=1+age%s modeltemp= %s, model=%s\n",model, modeltemp, model);fflush(stdout); */
	printf("model=1+age+%s\n",model);fflush(stdout);
	}
	/* 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=1+age+%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model); */
	/* numlinepar=numlinepar+3; /\* In general \/ /
	/* 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=1+age+%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=1+age+%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=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);
fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);	fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);
fflush(ficlog);	fflush(ficlog);
Line 6566 int main(int argc, char *argv[])	Line 6991 int main(int argc, char *argv[])
fprintf(ficlog," You chose mle=-3, look at file %s for a template of covariance matrix \n",filereso);	fprintf(ficlog," You chose mle=-3, look at file %s for a template of covariance matrix \n",filereso);
param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);	param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
matcov=matrix(1,npar,1,npar);	matcov=matrix(1,npar,1,npar);
	hess=matrix(1,npar,1,npar);
}	}
else{	else{
/* Read guessed parameters */	/* Read guessed parameters */
Line 6674 run imach with mle=-1 to get a correct t	Line 7100 run imach with mle=-1 to get a correct t
ungetc(c,ficpar);	ungetc(c,ficpar);

matcov=matrix(1,npar,1,npar);	matcov=matrix(1,npar,1,npar);
	hess=matrix(1,npar,1,npar);
for(i=1; i <=npar; i++)	for(i=1; i <=npar; i++)
for(j=1; j <=npar; j++) matcov[i][j]=0.;	for(j=1; j <=npar; j++) matcov[i][j]=0.;

Line 6725 Please run with mle=-1 to get a correct	Line 7152 Please run with mle=-1 to get a correct
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", rfileres);goto end;
fprintf(ficlog,"Problem writing new parameter file: %s\n", fileres);goto end;	fprintf(ficlog,"Problem writing new parameter file: %s\n", rfileres);goto end;
}	}
fprintf(ficres,"#%s\n",version);	fprintf(ficres,"#%s\n",version);
} /* End of mle != -3 */	} /* End of mle != -3 */
Line 6836 Please run with mle=-1 to get a correct	Line 7263 Please run with mle=-1 to get a correct
V2+V1age, there are 3 covariates Tvar[2]=1 (V1)./	V2+V1age, there are 3 covariates Tvar[2]=1 (V1)./
/* 1 to ncodemax[j] is the maximum value of this jth covariate */	/* 1 to ncodemax[j] is the maximum value of this jth covariate */

codtab=imatrix(1,100,1,10); /* codtab[h,k]=( (h-1) - mod(k-1,2(k-1) )/2(k-1) */	/* codtab=imatrix(1,100,1,10);/ / codtab[h,k]=( (h-1) - mod(k-1,2(k-1) )/2(k-1) */
/printf(" codtab[1,1],codtab[100,10]=%d,%d\n", codtab[1][1],codtab[100][10]);/	/printf(" codtab[1,1],codtab[100,10]=%d,%d\n", codtab[1][1],codtabm(100,10));/
/* codtab gives the value 1 or 2 of the hth combination of k covariates (1 or 2).*/	/* codtab gives the value 1 or 2 of the hth combination of k covariates (1 or 2).*/
h=0;	h=0;

Line 6847 Please run with mle=-1 to get a correct	Line 7274 Please run with mle=-1 to get a correct

m=pow(2,cptcoveff);	m=pow(2,cptcoveff);

for(k=1;k<=cptcoveff; k++){ /* scans any effective covariate */
for(i=1; i <=pow(2,cptcoveff-k);i++){ /* i=1 to 8/1=8; i=1 to 8/2=4; i=1 to 8/8=1 */
for(j=1; j <= ncodemax[k]; j++){ /* For each modality of this covariate ncodemax=2*/
for(cpt=1; cpt <=pow(2,k-1); cpt++){ /* cpt=1 to 8/2*(3+1-1 or 3+1-3) =1 or 4 /
h++;
if (h>m)
h=1;
/< codtab(h,k) k = codtab[h,k]=( (h-1) - mod(k-1,2(k-1) )/2**(k-1) + 1	/< codtab(h,k) k = codtab[h,k]=( (h-1) - mod(k-1,2(k-1) )/2**(k-1) + 1
* For k=4 covariates, h goes from 1 to 2**k	* For k=4 covariates, h goes from 1 to 2**k
* codtabm(h,k)= 1 & (h-1) >> (k-1) ;	* codtabm(h,k)= 1 & (h-1) >> (k-1) ;
Line 6867 Please run with mle=-1 to get a correct	Line 7287 Please run with mle=-1 to get a correct
* 6 2 1 2 1	* 6 2 1 2 1
* 7 i=4 1 2 2 1	* 7 i=4 1 2 2 1
* 8 2 2 2 1	* 8 2 2 2 1
* 9 i=5 1 i=3 1 i=2 1 1	* 9 i=5 1 i=3 1 i=2 1 2
* 10 2 1 1 1	* 10 2 1 1 2
* 11 i=6 1 2 1 1	* 11 i=6 1 2 1 2
* 12 2 2 1 1	* 12 2 2 1 2
* 13 i=7 1 i=4 1 2 1	* 13 i=7 1 i=4 1 2 2
* 14 2 1 2 1	* 14 2 1 2 2
* 15 i=8 1 2 2 1	* 15 i=8 1 2 2 2
* 16 2 2 2 1	* 16 2 2 2 2
*/	*/
codtab[h][k]=j;	/* /\* for(h=1; h <=100 ;h++){ \/ /
/* codtab[12][3]=1; */	/* /\* printf("h=%2d ", h); \/ /
/codtab[h][Tvar[k]]=j;/	/* /\* for(k=1; k <=10; k++){ \/ /
printf("h=%d k=%d j=%d codtab[h][k]=%d Tvar[k]=%d codtab[h][Tvar[k]]=%d \n",h, k,j,codtab[h][k],Tvar[k],codtab[h][Tvar[k]]);	/* /\* printf("k=%d %d ",k,codtabm(h,k)); \/ /
}	/* /\* codtab[h][k]=codtabm(h,k); \/ /
}	/* /\* } \/ /
}	/* /\* printf("\n"); \/ /
}	/* } */
	/* for(k=1;k<=cptcoveff; k++){ /\* scans any effective covariate \/ /
	/* for(i=1; i <=pow(2,cptcoveff-k);i++){ /\* i=1 to 8/1=8; i=1 to 8/2=4; i=1 to 8/8=1 \/ /
	/* for(j=1; j <= ncodemax[k]; j++){ /\* For each modality of this covariate ncodemax=2\/ /
	/* for(cpt=1; cpt <=pow(2,k-1); cpt++){ /\* cpt=1 to 8/2*(3+1-1 or 3+1-3) =1 or 4 \/ */
	/* h++; */
	/* if (h>m) */
	/* h=1; */
	/* codtab[h][k]=j; */
	/* /\* codtab[12][3]=1; \/ /
	/* /\codtab[h][Tvar[k]]=j;\/ */
	/* /\* printf("h=%d k=%d j=%d codtab[h][k]=%d Tvar[k]=%d codtab[h][Tvar[k]]=%d \n",h, k,j,codtab[h][k],Tvar[k],codtab[h][Tvar[k]]); \/ /
	/* } */
	/* } */
	/* } */
	/* } */
/* printf("codtab[1][2]=%d codtab[2][2]=%d",codtab[1][2],codtab[2][2]);	/* printf("codtab[1][2]=%d codtab[2][2]=%d",codtab[1][2],codtab[2][2]);
codtab[1][2]=1;codtab[2][2]=2; */	codtab[1][2]=1;codtab[2][2]=2; */
/* for(i=1; i <=m ;i++){	/* for(i=1; i <=m ;i++){ */
for(k=1; k <=cptcovn; k++){	/* for(k=1; k <=cptcovn; k++){ */
printf("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff);	/* printf("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff); */
}	/* } */
printf("\n");	/* printf("\n"); */
}	/* } */
scanf("%d",i);*/	/* scanf("%d",i);*/

free_ivector(Ndum,-1,NCOVMAX);	free_ivector(Ndum,-1,NCOVMAX);

Line 6901 Please run with mle=-1 to get a correct	Line 7336 Please run with mle=-1 to get a correct
/* Initialisation of ----------- gnuplot -------------*/	/* Initialisation of ----------- gnuplot -------------*/
strcpy(optionfilegnuplot,optionfilefiname);	strcpy(optionfilegnuplot,optionfilefiname);
if(mle==-3)	if(mle==-3)
strcat(optionfilegnuplot,"-mort");	strcat(optionfilegnuplot,"-MORT_");
strcat(optionfilegnuplot,".gp");	strcat(optionfilegnuplot,".gp");

if((ficgp=fopen(optionfilegnuplot,"w"))==NULL) {	if((ficgp=fopen(optionfilegnuplot,"w"))==NULL) {
printf("Problem with file %s",optionfilegnuplot);	printf("Problem with file %s",optionfilegnuplot);
}	}
else{	else{
fprintf(ficgp,"\n# %s\n", version);	fprintf(ficgp,"\n# IMaCh-%s\n", version);
fprintf(ficgp,"# %s\n", optionfilegnuplot);	fprintf(ficgp,"# %s\n", optionfilegnuplot);
//fprintf(ficgp,"set missing 'NaNq'\n");	//fprintf(ficgp,"set missing 'NaNq'\n");
fprintf(ficgp,"set datafile missing 'NaNq'\n");	fprintf(ficgp,"set datafile missing 'NaNq'\n");
Line 6920 Please run with mle=-1 to get a correct	Line 7355 Please run with mle=-1 to get a correct

strcpy(optionfilehtm,optionfilefiname); /* Main html file */	strcpy(optionfilehtm,optionfilefiname); /* Main html file */
if(mle==-3)	if(mle==-3)
strcat(optionfilehtm,"-mort");	strcat(optionfilehtm,"-MORT_");
strcat(optionfilehtm,".htm");	strcat(optionfilehtm,".htm");
if((fichtm=fopen(optionfilehtm,"w"))==NULL) {	if((fichtm=fopen(optionfilehtm,"w"))==NULL) {
printf("Problem with %s \n",optionfilehtm);	printf("Problem with %s \n",optionfilehtm);
Line 6935 Please run with mle=-1 to get a correct	Line 7370 Please run with mle=-1 to get a correct
else{	else{
fprintf(fichtmcov,"<html><head>\n<title>IMaCh Cov %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \	fprintf(fichtmcov,"<html><head>\n<title>IMaCh Cov %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \
<hr size=\"2\" color=\"#EC5E5E\"> \n\	<hr size=\"2\" color=\"#EC5E5E\"> \n\
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n",\	Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\
optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);	optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);
}	}

fprintf(fichtm,"<html><head>\n<title>IMaCh %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \	fprintf(fichtm,"<html><head>\n<head>\n<meta charset=\"utf-8\"/><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<title>IMaCh %s</title></head>\n <body><font size=\"7\"><a href=http:/euroreves.ined.fr/imach>IMaCh for Interpolated Markov Chain</a> </font><br>\n<font size=\"3\">Sponsored by Copyright (C) 2002-2015 <a href=http://www.ined.fr>INED</a>-EUROREVES-Institut de longévité-Japan Society for the Promotion of Sciences 日本学術振興会 (<a href=https://www.jsps.go.jp/english/e-grants/>Grant-in-Aid for Scientific Research 25293121</a>) - <a href=https://software.intel.com/en-us>Intel Software 2015</a></font><br> \
	<hr size=\"2\" color=\"#EC5E5E\"> \n\
	<font size=\"2\">IMaCh-%s <br> %s</font> \
<hr size=\"2\" color=\"#EC5E5E\"> \n\	<hr size=\"2\" color=\"#EC5E5E\"> \n\
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n\	Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n\
\n\	\n\
<hr size=\"2\" color=\"#EC5E5E\">\	<hr size=\"2\" color=\"#EC5E5E\">\
<ul><li><h4>Parameter files</h4>\n\	<ul><li><h4>Parameter files</h4>\n\
Line 7036 Interval (in months) between two waves:	Line 7473 Interval (in months) between two waves:
#else	#else
printf("Powell\n"); fprintf(ficlog,"Powell\n");	printf("Powell\n"); fprintf(ficlog,"Powell\n");
#endif	#endif
strcpy(filerespow,"pow-mort");	strcpy(filerespow,"POW-MORT_");
strcat(filerespow,fileres);	strcat(filerespow,fileresu);
if((ficrespow=fopen(filerespow,"w"))==NULL) {	if((ficrespow=fopen(filerespow,"w"))==NULL) {
printf("Problem with resultfile: %s\n", filerespow);	printf("Problem with resultfile: %s\n", filerespow);
fprintf(ficlog,"Problem with resultfile: %s\n", filerespow);	fprintf(ficlog,"Problem with resultfile: %s\n", filerespow);
Line 7133 Interval (in months) between two waves:	Line 7570 Interval (in months) between two waves:
#endif	#endif
fclose(ficrespow);	fclose(ficrespow);

hesscov(matcov, p, NDIM, delti, 1e-4, gompertz);	hesscov(matcov, hess, p, NDIM, delti, 1e-4, gompertz);

for(i=1; i <=NDIM; i++)	for(i=1; i <=NDIM; i++)
for(j=i+1;j<=NDIM;j++)	for(j=i+1;j<=NDIM;j++)
matcov[i][j]=matcov[j][i];	matcov[i][j]=matcov[j][i];

printf("\nCovariance matrix\n ");	printf("\nCovariance matrix\n ");
	fprintf(ficlog,"\nCovariance matrix\n ");
for(i=1; i <=NDIM; i++) {	for(i=1; i <=NDIM; i++) {
for(j=1;j<=NDIM;j++){	for(j=1;j<=NDIM;j++){
printf("%f ",matcov[i][j]);	printf("%f ",matcov[i][j]);
	fprintf(ficlog,"%f ",matcov[i][j]);
}	}
printf("\n ");	printf("\n "); fprintf(ficlog,"\n ");
}	}

printf("iter=%d MLE=%f Eq=%lfexp(%lf(age-%d))\n",iter,-gompertz(p),p[1],p[2],agegomp);	printf("iter=%d MLE=%f Eq=%lfexp(%lf(age-%d))\n",iter,-gompertz(p),p[1],p[2],agegomp);
Line 7191 Please run with mle=-1 to get a correct	Line 7630 Please run with mle=-1 to get a correct
This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\	This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\
Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar);	Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar);
}else	}else
printinggnuplotmort(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);	printinggnuplotmort(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);
printinghtmlmort(fileres,title,datafile, firstpass, lastpass, \	printinghtmlmort(fileresu,title,datafile, firstpass, lastpass, \
stepm, weightopt,\	stepm, weightopt,\
model,imx,p,matcov,agemortsup);	model,imx,p,matcov,agemortsup);

Line 7207 Please run with mle=-1 to get a correct	Line 7646 Please run with mle=-1 to get a correct
#endif	#endif
} /* Endof if mle==-3 mortality only */	} /* Endof if mle==-3 mortality only */
/* Standard maximisation */	/* Standard maximisation */
else{ /* For mle >=1 */	else{ /* For mle !=- 3 */
globpr=0;/* debug */	globpr=0;/* debug */
/* Computes likelihood for initial parameters */	/* Computes likelihood for initial parameters */
likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */	likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
Line 7250 Please run with mle=-1 to get a correct	Line 7689 Please run with mle=-1 to get a correct
}	}
}	}
}	}
if(mle!=0){	if(mle != 0){
/* Computing hessian and covariance matrix */	/* Computing hessian and covariance matrix only at a peak of the Likelihood, that is after optimization */
ftolhess=ftol; /* Usually correct */	ftolhess=ftol; /* Usually correct */
hesscov(matcov, p, npar, delti, ftolhess, func);	hesscov(matcov, hess, p, npar, delti, ftolhess, func);
}	printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n");
printf("Parameters and 95%% confidence intervals\n");	fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n");
fprintf(ficlog, "Parameters, T and confidence intervals\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);	for(j=1; j <=ncovmodel; j++){
for(j=1; j <=ncovmodel; j++){	printf("%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96sqrt(matcov[jk][jk]),p[jk]+1.96sqrt(matcov[jk][jk]));
printf("%12.7f T=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-2sqrt(matcov[jk][jk]),p[jk]+2sqrt(matcov[jk][jk]));	fprintf(ficlog,"%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96sqrt(matcov[jk][jk]),p[jk]+1.96sqrt(matcov[jk][jk]));
fprintf(ficlog,"%12.7f T=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-2sqrt(matcov[jk][jk]),p[jk]+2sqrt(matcov[jk][jk]));	jk++;
jk++;	}
	printf("\n");
	fprintf(ficlog,"\n");
}	}
printf("\n");
fprintf(ficlog,"\n");
}	}
}	}
}	} /* end of hesscov and Wald tests */

	/* */
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");
Line 7296 Please run with mle=-1 to get a correct	Line 7736 Please run with mle=-1 to get a correct
}	}

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) /* To big for the screen */
printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");	printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");
fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");	fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");
/* # 121 Var(a12)\n\ */	/* # 121 Var(a12)\n\ */
Line 7359 Please run with mle=-1 to get a correct	Line 7799 Please run with mle=-1 to get a correct
fprintf(ficres," Var(%s%1d%1d)",ca,i,j);	fprintf(ficres," Var(%s%1d%1d)",ca,i,j);
}else{	}else{
if(mle>=1)	if(mle>=1)
printf(" %.5e",matcov[jj][ll]);	printf(" %.7e",matcov[jj][ll]);
fprintf(ficlog," %.5e",matcov[jj][ll]);	fprintf(ficlog," %.7e",matcov[jj][ll]);
fprintf(ficres," %.5e",matcov[jj][ll]);	fprintf(ficres," %.7e",matcov[jj][ll]);
}	}
}	}
}	}
Line 7462 Please run with mle=-1 to get a correct	Line 7902 Please run with mle=-1 to get a correct
This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\	This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\
Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar);	Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar);
}else	}else
printinggnuplot(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);	printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);

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

Line 7489 Please run with mle=-1 to get a correct	Line 7929 Please run with mle=-1 to get a correct
/--------------- Prevalence limit (period or stable prevalence) --------------/	/--------------- Prevalence limit (period or stable prevalence) --------------/
/#include "prevlim.h"/ /* Use ficrespl, ficlog */	/#include "prevlim.h"/ /* Use ficrespl, ficlog */
prlim=matrix(1,nlstate,1,nlstate);	prlim=matrix(1,nlstate,1,nlstate);
prevalence_limit(p, prlim, ageminpar, agemaxpar);	prevalence_limit(p, prlim, ageminpar, agemaxpar, ftolpl, ncvyear);
fclose(ficrespl);	fclose(ficrespl);

#ifdef FREEEXIT2	#ifdef FREEEXIT2
Line 7516 Please run with mle=-1 to get a correct	Line 7956 Please run with mle=-1 to get a correct
/if((stepm == 1) && (strcmp(model,".")==0)){/	/if((stepm == 1) && (strcmp(model,".")==0)){/
if(prevfcast==1){	if(prevfcast==1){
/* if(stepm ==1){*/	/* if(stepm ==1){*/
prevforecast(fileres, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);	prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);
/* (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);*/	/* (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);*/
/* } */	/* } */
/* else{ */	/* else{ */
Line 7546 Please run with mle=-1 to get a correct	Line 7986 Please run with mle=-1 to get a correct

/---------- Health expectancies, no variances ------------/	/---------- Health expectancies, no variances ------------/

strcpy(filerese,"e");	strcpy(filerese,"E_");
strcat(filerese,fileres);	strcat(filerese,fileresu);
if((ficreseij=fopen(filerese,"w"))==NULL) {	if((ficreseij=fopen(filerese,"w"))==NULL) {
printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);	printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
fprintf(ficlog,"Problem with Health Exp. resultfile: %s\n", filerese); exit(0);	fprintf(ficlog,"Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
Line 7560 Please run with mle=-1 to get a correct	Line 8000 Please run with mle=-1 to get a correct
for (k=1; k <= (int) pow(2,cptcoveff); k++){	for (k=1; k <= (int) pow(2,cptcoveff); k++){
fprintf(ficreseij,"\n#****** ");	fprintf(ficreseij,"\n#****** ");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcoveff;j++) {
fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
}	}
fprintf(ficreseij,"******\n");	fprintf(ficreseij,"******\n");

Line 7577 Please run with mle=-1 to get a correct	Line 8017 Please run with mle=-1 to get a correct
/---------- Health expectancies and variances ------------/	/---------- Health expectancies and variances ------------/


strcpy(filerest,"t");	strcpy(filerest,"T_");
strcat(filerest,fileres);	strcat(filerest,fileresu);
if((ficrest=fopen(filerest,"w"))==NULL) {	if((ficrest=fopen(filerest,"w"))==NULL) {
printf("Problem with total LE resultfile: %s\n", filerest);goto end;	printf("Problem with total LE resultfile: %s\n", filerest);goto end;
fprintf(ficlog,"Problem with total LE resultfile: %s\n", filerest);goto end;	fprintf(ficlog,"Problem with total LE resultfile: %s\n", filerest);goto end;
Line 7587 Please run with mle=-1 to get a correct	Line 8027 Please run with mle=-1 to get a correct
fprintf(ficlog,"Computing Total Life expectancies with their standard errors: file '%s' \n", filerest);	fprintf(ficlog,"Computing Total Life expectancies with their standard errors: file '%s' \n", filerest);


strcpy(fileresstde,"stde");	strcpy(fileresstde,"STDE_");
strcat(fileresstde,fileres);	strcat(fileresstde,fileresu);
if((ficresstdeij=fopen(fileresstde,"w"))==NULL) {	if((ficresstdeij=fopen(fileresstde,"w"))==NULL) {
printf("Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);	printf("Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);
fprintf(ficlog,"Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);	fprintf(ficlog,"Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);
Line 7596 Please run with mle=-1 to get a correct	Line 8036 Please run with mle=-1 to get a correct
printf("Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);	printf("Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);
fprintf(ficlog,"Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);	fprintf(ficlog,"Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);

strcpy(filerescve,"cve");	strcpy(filerescve,"CVE_");
strcat(filerescve,fileres);	strcat(filerescve,fileresu);
if((ficrescveij=fopen(filerescve,"w"))==NULL) {	if((ficrescveij=fopen(filerescve,"w"))==NULL) {
printf("Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);	printf("Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);
fprintf(ficlog,"Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);	fprintf(ficlog,"Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);
Line 7605 Please run with mle=-1 to get a correct	Line 8045 Please run with mle=-1 to get a correct
printf("Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);	printf("Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);
fprintf(ficlog,"Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);	fprintf(ficlog,"Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);

strcpy(fileresv,"v");	strcpy(fileresv,"V_");
strcat(fileresv,fileres);	strcat(fileresv,fileresu);
if((ficresvij=fopen(fileresv,"w"))==NULL) {	if((ficresvij=fopen(fileresv,"w"))==NULL) {
printf("Problem with variance resultfile: %s\n", fileresv);exit(0);	printf("Problem with variance resultfile: %s\n", fileresv);exit(0);
fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0);	fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0);
Line 7620 Please run with mle=-1 to get a correct	Line 8060 Please run with mle=-1 to get a correct
for (k=1; k <= (int) pow(2,cptcoveff); k++){	for (k=1; k <= (int) pow(2,cptcoveff); k++){
fprintf(ficrest,"\n#****** ");	fprintf(ficrest,"\n#****** ");
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
fprintf(ficrest,"******\n");	fprintf(ficrest,"******\n");

fprintf(ficresstdeij,"\n#****** ");	fprintf(ficresstdeij,"\n#****** ");
fprintf(ficrescveij,"\n#****** ");	fprintf(ficrescveij,"\n#****** ");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcoveff;j++) {
fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
}	}
fprintf(ficresstdeij,"******\n");	fprintf(ficresstdeij,"******\n");
fprintf(ficrescveij,"******\n");	fprintf(ficrescveij,"******\n");

fprintf(ficresvij,"\n#****** ");	fprintf(ficresvij,"\n#****** ");
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
fprintf(ficresvij,"******\n");	fprintf(ficresvij,"******\n");

eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);	eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
Line 7649 Please run with mle=-1 to get a correct	Line 8089 Please run with mle=-1 to get a correct


for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/	for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/
oldm=oldms;savm=savms; /* Segmentation fault */	oldm=oldms;savm=savms; /* ZZ Segmentation fault */
cptcod= 0; /* To be deleted */	cptcod= 0; /* To be deleted */
varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); /* cptcod not initialized Intel */	varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, ncvyear, k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); /* cptcod not initialized Intel */
fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# (weighted average of eij where weights are ");	fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# (weighted average of eij where weights are ");
if(vpopbased==1)	if(vpopbased==1)
fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);	fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);
else	else
fprintf(ficrest,"the age specific period (stable) prevalences in each health state \n");	fprintf(ficrest,"the age specific period (stable) prevalences in each health state \n");
fprintf(ficrest,"# Age e.. (std) ");	fprintf(ficrest,"# Age popbased mobilav e.. (std) ");
for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);	for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);
fprintf(ficrest,"\n");	fprintf(ficrest,"\n");
	/* printf("Which p?\n"); for(i=1;i<=npar;i++)printf("p[i=%d]=%lf,",i,p[i]);printf("\n"); */
epj=vector(1,nlstate+1);	epj=vector(1,nlstate+1);
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, ncvyear, k); /ZZ Is it the correct prevalim /
if (vpopbased==1) {	if (vpopbased==1) {
if(mobilav ==0){	if(mobilav ==0){
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
Line 7674 Please run with mle=-1 to get a correct	Line 8114 Please run with mle=-1 to get a correct
}	}
}	}

fprintf(ficrest," %4.0f",age);	fprintf(ficrest," %4.0f %d %d",age, vpopbased, mobilav);
	/* printf(" age %4.0f ",age); */
for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){	for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){
for(i=1, epj[j]=0.;i <=nlstate;i++) {	for(i=1, epj[j]=0.;i <=nlstate;i++) {
epj[j] += prlim[i][i]*eij[i][j][(int)age];	epj[j] += prlim[i][i]*eij[i][j][(int)age];
/* printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]);*/	/ZZZ printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]);/
	/* printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]); */
}	}
epj[nlstate+1] +=epj[j];	epj[nlstate+1] +=epj[j];
}	}
	/* printf(" age %4.0f \n",age); */

for(i=1, vepp=0.;i <=nlstate;i++)	for(i=1, vepp=0.;i <=nlstate;i++)
for(j=1;j <=nlstate;j++)	for(j=1;j <=nlstate;j++)
Line 7713 Please run with mle=-1 to get a correct	Line 8156 Please run with mle=-1 to get a correct

/------- Variance of period (stable) prevalence------/	/------- Variance of period (stable) prevalence------/

strcpy(fileresvpl,"vpl");	strcpy(fileresvpl,"VPL_");
strcat(fileresvpl,fileres);	strcat(fileresvpl,fileresu);
if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {	if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {
printf("Problem with variance of period (stable) prevalence resultfile: %s\n", fileresvpl);	printf("Problem with variance of period (stable) prevalence resultfile: %s\n", fileresvpl);
exit(0);	exit(0);
Line 7727 Please run with mle=-1 to get a correct	Line 8170 Please run with mle=-1 to get a correct
for (k=1; k <= (int) pow(2,cptcoveff); k++){	for (k=1; k <= (int) pow(2,cptcoveff); k++){
fprintf(ficresvpl,"\n#****** ");	fprintf(ficresvpl,"\n#****** ");
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
fprintf(ficresvpl,"******\n");	fprintf(ficresvpl,"******\n");

varpl=matrix(1,nlstate,(int) bage, (int) fage);	varpl=matrix(1,nlstate,(int) bage, (int) fage);
oldm=oldms;savm=savms;	oldm=oldms;savm=savms;
varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k,strstart);	varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, ncvyear, k, strstart);
free_matrix(varpl,1,nlstate,(int) bage, (int)fage);	free_matrix(varpl,1,nlstate,(int) bage, (int)fage);
/}/	/}/
}	}
Line 7751 Please run with mle=-1 to get a correct	Line 8194 Please run with mle=-1 to get a correct
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(covar,0,NCOVMAX,1,n);
free_matrix(matcov,1,npar,1,npar);	free_matrix(matcov,1,npar,1,npar);
	free_matrix(hess,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_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
free_matrix(agev,1,maxwav,1,imx);	free_matrix(agev,1,maxwav,1,imx);
Line 7764 Please run with mle=-1 to get a correct	Line 8208 Please run with mle=-1 to get a correct
free_ivector(Tage,1,NCOVMAX);	free_ivector(Tage,1,NCOVMAX);

free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX);	free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX);
free_imatrix(codtab,1,100,1,10);	/* free_imatrix(codtab,1,100,1,10); */
fflush(fichtm);	fflush(fichtm);
fflush(ficgp);	fflush(ficgp);

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

Removed from v.1.196
changed lines
	Added in v.1.204