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Diff for /imach/src/imach.c between versions 1.64 and 1.96

version 1.64, 2002/11/21 08:46:21	version 1.96, 2003/07/15 15:38:55
Line 1	Line 1
/* $Id$	/* $Id$
	$State$
	$Log$
	Revision 1.96 2003/07/15 15:38:55 brouard
	* imach.c (Repository): Errors in subdirf, 2, 3 while printing tmpout is
	rewritten within the same printf. Workaround: many printfs.

	Revision 1.95 2003/07/08 07:54:34 brouard
	* imach.c (Repository):
	(Repository): Using imachwizard code to output a more meaningful covariance
	matrix (cov(a12,c31) instead of numbers.

	Revision 1.94 2003/06/27 13:00:02 brouard
	Just cleaning

	Revision 1.93 2003/06/25 16:33:55 brouard
	(Module): On windows (cygwin) function asctime_r doesn't
	exist so I changed back to asctime which exists.
	(Module): Version 0.96b

	Revision 1.92 2003/06/25 16:30:45 brouard
	(Module): On windows (cygwin) function asctime_r doesn't
	exist so I changed back to asctime which exists.

	Revision 1.91 2003/06/25 15:30:29 brouard
	* imach.c (Repository): Duplicated warning errors corrected.
	(Repository): Elapsed time after each iteration is now output. It
	helps to forecast when convergence will be reached. Elapsed time
	is stamped in powell. We created a new html file for the graphs
	concerning matrix of covariance. It has extension -cov.htm.

	Revision 1.90 2003/06/24 12:34:15 brouard
	(Module): Some bugs corrected for windows. Also, when
	mle=-1 a template is output in file "or"mypar.txt with the design
	of the covariance matrix to be input.

	Revision 1.89 2003/06/24 12:30:52 brouard
	(Module): Some bugs corrected for windows. Also, when
	mle=-1 a template is output in file "or"mypar.txt with the design
	of the covariance matrix to be input.

	Revision 1.88 2003/06/23 17:54:56 brouard
	* imach.c (Repository): Create a sub-directory where all the secondary files are. Only imach, htm, gp and r(imach) are on the main directory. Correct time and other things.

	Revision 1.87 2003/06/18 12:26:01 brouard
	Version 0.96

	Revision 1.86 2003/06/17 20:04:08 brouard
	(Module): Change position of html and gnuplot routines and added
	routine fileappend.

	Revision 1.85 2003/06/17 13:12:43 brouard
	* imach.c (Repository): Check when date of death was earlier that
	current date of interview. It may happen when the death was just
	prior to the death. In this case, dh was negative and likelihood
	was wrong (infinity). We still send an "Error" but patch by
	assuming that the date of death was just one stepm after the
	interview.
	(Repository): Because some people have very long ID (first column)
	we changed int to long in num[] and we added a new lvector for
	memory allocation. But we also truncated to 8 characters (left
	truncation)
	(Repository): No more line truncation errors.

	Revision 1.84 2003/06/13 21:44:43 brouard
	* imach.c (Repository): Replace "freqsummary" at a correct
	place. It differs from routine "prevalence" which may be called
	many times. Probs is memory consuming and must be used with
	parcimony.
	Version 0.95a3 (should output exactly the same maximization than 0.8a2)

	Revision 1.83 2003/06/10 13:39:11 lievre
	* empty log message *

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

	*/
	/*
Interpolated Markov Chain	Interpolated Markov Chain

Short summary of the programme:	Short summary of the programme:
Line 32	Line 110
hPijx is the probability to be observed in state i at age x+h	hPijx is the probability to be observed in state i at age x+h
conditional to the observed state i at age x. The delay 'h' can be	conditional to the observed state i at age x. The delay 'h' can be
split into an exact number (nh*stepm) of unobserved intermediate	split into an exact number (nh*stepm) of unobserved intermediate
states. This elementary transition (by month or quarter trimester,	states. This elementary transition (by month, quarter,
semester or year) is model as a multinomial logistic. The hPx	semester or year) is modelled as a multinomial logistic. The hPx
matrix is simply the matrix product of nh*stepm elementary matrices	matrix is simply the matrix product of nh*stepm elementary matrices
and the contribution of each individual to the likelihood is simply	and the contribution of each individual to the likelihood is simply
hPijx.	hPijx.
Line 48	Line 126
It is copyrighted identically to a GNU software product, ie programme and	It is copyrighted identically to a GNU software product, ie programme and
software can be distributed freely for non commercial use. Latest version	software can be distributed freely for non commercial use. Latest version
can be accessed at http://euroreves.ined.fr/imach .	can be accessed at http://euroreves.ined.fr/imach .

	Help to debug: LD_PRELOAD=/usr/local/lib/libnjamd.so ./imach foo.imach
	or better on gdb : set env LD_PRELOAD=/usr/local/lib/libnjamd.so

**********************************************************************/	**********************************************************************/
	/*
	main
	read parameterfile
	read datafile
	concatwav
	freqsummary
	if (mle >= 1)
	mlikeli
	print results files
	if mle==1
	computes hessian
	read end of parameter file: agemin, agemax, bage, fage, estepm
	begin-prev-date,...
	open gnuplot file
	open html file
	stable prevalence
	for age prevalim()
	h Pij x
	variance of p varprob
	forecasting if prevfcast==1 prevforecast call prevalence()
	health expectancies
	Variance-covariance of DFLE
	prevalence()
	movingaverage()
	varevsij()
	if popbased==1 varevsij(,popbased)
	total life expectancies
	Variance of stable prevalence
	end
	*/




#include <math.h>	#include <math.h>
#include <stdio.h>	#include <stdio.h>
#include <stdlib.h>	#include <stdlib.h>
#include <unistd.h>	#include <unistd.h>

	#include <sys/time.h>
	#include <time.h>
	#include "timeval.h"

	/* #include <libintl.h> */
	/* #define _(String) gettext (String) */

#define MAXLINE 256	#define MAXLINE 256
#define GNUPLOTPROGRAM "gnuplot"	#define GNUPLOTPROGRAM "gnuplot"
/#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"/	/#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"/
#define FILENAMELENGTH 80	#define FILENAMELENGTH 132
/#define DEBUG/	/#define DEBUG/
#define windows	/#define windows/
#define GLOCK_ERROR_NOPATH -1 /* empty path */	#define GLOCK_ERROR_NOPATH -1 /* empty path */
#define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */	#define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */

Line 75	Line 197
#define YEARM 12. /* Number of months per year */	#define YEARM 12. /* Number of months per year */
#define AGESUP 130	#define AGESUP 130
#define AGEBASE 40	#define AGEBASE 40
#ifdef windows	#ifdef unix
#define DIRSEPARATOR '\\'
#define ODIRSEPARATOR '/'
#else
#define DIRSEPARATOR '/'	#define DIRSEPARATOR '/'
#define ODIRSEPARATOR '\\'	#define ODIRSEPARATOR '\\'
	#else
	#define DIRSEPARATOR '\\'
	#define ODIRSEPARATOR '/'
#endif	#endif

char version[80]="Imach version 0.9, November 2002, INED-EUROREVES ";	/* $Id$ */
int erreur; /* Error number */	/* $State$ */

	char version[]="Imach version 0.96c, July 2003, INED-EUROREVES ";
	char fullversion[]="$Revision$ $Date$";
	int erreur, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */
int nvar;	int nvar;
int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov;	int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov;
int npar=NPARMAX;	int npar=NPARMAX;
Line 96 int popbased=0;	Line 222 int popbased=0;
int wav; / Number of waves for this individuual 0 is possible */	int wav; / Number of waves for this individuual 0 is possible */
int maxwav; /* Maxim number of waves */	int maxwav; /* Maxim number of waves */
int jmin, jmax; /* min, max spacing between 2 waves */	int jmin, jmax; /* min, max spacing between 2 waves */
	int gipmx, gsw; /* Global variables on the number of contributions
	to the likelihood and the sum of weights (done by funcone)*/
int mle, weightopt;	int mle, weightopt;
int *mw; / mw[mi][i] is number of the mi wave for this individual */	int *mw; / mw[mi][i] is number of the mi wave for this individual */
int *dh; / dh[mi][i] is number of steps between mi,mi+1 for this individual */	int *dh; / dh[mi][i] is number of steps between mi,mi+1 for this individual */
Line 105 double jmean; /* Mean space between 2 wa	Line 233 double jmean; /* Mean space between 2 wa
double oldm, newm, *savm; / Working pointers to matrices */	double oldm, newm, *savm; / Working pointers to matrices */
double oldms, newms, *savms; / Fixed working pointers to matrices */	double oldms, newms, *savms; / Fixed working pointers to matrices */
FILE fic,ficpar, ficparo,ficres, ficrespl, ficrespij, ficrest,ficresf,*ficrespop;	FILE fic,ficpar, ficparo,ficres, ficrespl, ficrespij, ficrest,ficresf,*ficrespop;
FILE *ficlog;	FILE ficlog, ficrespow;
	int globpr; /* Global variable for printing or not */
	double fretone; /* Only one call to likelihood */
	long ipmx; /* Number of contributions */
	double sw; /* Sum of weights */
	char fileresilk[FILENAMELENGTH]; /* File of individual contributions to the likelihood */
	FILE *ficresilk;
FILE ficgp,ficresprob,ficpop, ficresprobcov, *ficresprobcor;	FILE ficgp,ficresprob,ficpop, ficresprobcov, *ficresprobcor;
FILE *ficresprobmorprev;	FILE *ficresprobmorprev;
FILE fichtm; / Html File */	FILE fichtm, fichtmcov; /* Html File */
FILE *ficreseij;	FILE *ficreseij;
char filerese[FILENAMELENGTH];	char filerese[FILENAMELENGTH];
FILE *ficresvij;	FILE *ficresvij;
Line 118 char fileresvpl[FILENAMELENGTH];	Line 252 char fileresvpl[FILENAMELENGTH];
char title[MAXLINE];	char title[MAXLINE];
char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH], filerespl[FILENAMELENGTH];	char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH], filerespl[FILENAMELENGTH];
char optionfilext[10], optionfilefiname[FILENAMELENGTH], plotcmd[FILENAMELENGTH];	char optionfilext[10], optionfilefiname[FILENAMELENGTH], plotcmd[FILENAMELENGTH];
	char tmpout[FILENAMELENGTH], tmpout2[FILENAMELENGTH];
	char command[FILENAMELENGTH];
	int outcmd=0;

char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];	char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];

char filelog[FILENAMELENGTH]; /* Log file */	char filelog[FILENAMELENGTH]; /* Log file */
char filerest[FILENAMELENGTH];	char filerest[FILENAMELENGTH];
char fileregp[FILENAMELENGTH];	char fileregp[FILENAMELENGTH];
char popfile[FILENAMELENGTH];	char popfile[FILENAMELENGTH];

char optionfilegnuplot[FILENAMELENGTH], optionfilehtm[FILENAMELENGTH];	char optionfilegnuplot[FILENAMELENGTH], optionfilehtm[FILENAMELENGTH], optionfilehtmcov[FILENAMELENGTH] ;

	struct timeval start_time, end_time, curr_time, last_time, forecast_time;
	struct timezone tzp;
	extern int gettimeofday();
	struct tm tmg, tm, tmf, gmtime(), localtime();
	long time_value;
	extern long time();
	char strcurr[80], strfor[80];

#define NR_END 1	#define NR_END 1
#define FREE_ARG char*	#define FREE_ARG char*
Line 163 int estepm;	Line 309 int estepm;
/* Estepm, step in month to interpolate survival function in order to approximate Life Expectancy*/	/* Estepm, step in month to interpolate survival function in order to approximate Life Expectancy*/

int m,nb;	int m,nb;
int num, firstpass=0, lastpass=4,cod, ncodemax, Tage;	long *num;
	int firstpass=0, lastpass=4,cod, ncodemax, *Tage;
double *agev,moisnais, annais, moisdc, andc,mint, *anint;	double *agev,moisnais, annais, moisdc, andc,mint, *anint;
double pmmij, *probs;	double pmmij, *probs;
double dateintmean=0;	double dateintmean=0;
Line 188 static int split( char path, char dirc	Line 335 static int split( char path, char dirc
if ( ss == NULL ) { /* no directory, so use current */	if ( ss == NULL ) { /* no directory, so use current */
/*if(strrchr(path, ODIRSEPARATOR )==NULL)	/*if(strrchr(path, ODIRSEPARATOR )==NULL)
printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/	printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/
#if defined(__bsd__) /* get current working directory */	/* get current working directory */
extern char *getwd( );	/* extern char* getcwd ( char buf , int len);/

if ( getwd( dirc ) == NULL ) {
#else
extern char *getcwd( );

if ( getcwd( dirc, FILENAME_MAX ) == NULL ) {	if ( getcwd( dirc, FILENAME_MAX ) == NULL ) {
#endif
return( GLOCK_ERROR_GETCWD );	return( GLOCK_ERROR_GETCWD );
}	}
strcpy( name, path ); /* we've got it */	strcpy( name, path ); /* we've got it */
Line 209 static int split( char path, char dirc	Line 350 static int split( char path, char dirc
dirc[l1-l2] = 0; /* add zero */	dirc[l1-l2] = 0; /* add zero */
}	}
l1 = strlen( dirc ); /* length of directory */	l1 = strlen( dirc ); /* length of directory */
#ifdef windows	/*#ifdef windows
if ( dirc[l1-1] != '\\' ) { dirc[l1] = '\\'; dirc[l1+1] = 0; }	if ( dirc[l1-1] != '\\' ) { dirc[l1] = '\\'; dirc[l1+1] = 0; }
#else	#else
if ( dirc[l1-1] != '/' ) { dirc[l1] = '/'; dirc[l1+1] = 0; }	if ( dirc[l1-1] != '/' ) { dirc[l1] = '/'; dirc[l1+1] = 0; }
#endif	#endif
	*/
ss = strrchr( name, '.' ); /* find last / */	ss = strrchr( name, '.' ); /* find last / */
ss++;	ss++;
strcpy(ext,ss); /* save extension */	strcpy(ext,ss); /* save extension */
Line 227 static int split( char path, char dirc	Line 369 static int split( char path, char dirc

/******************************************/	/******************************************/

void replace(char s, chart)	void replace_back_to_slash(char s, chart)
{	{
int i;	int i;
int lg=20;	int lg=0;
i=0;	i=0;
lg=strlen(t);	lg=strlen(t);
for(i=0; i<= lg; i++) {	for(i=0; i<= lg; i++) {
Line 311 void free_ivector(int *v, long nl, long	Line 453 void free_ivector(int *v, long nl, long
free((FREE_ARG)(v+nl-NR_END));	free((FREE_ARG)(v+nl-NR_END));
}	}

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

	/****************free lvector ************************/
	void free_lvector(long *v, long nl, long nh)
	{
	free((FREE_ARG)(v+nl-NR_END));
	}

/***************** imatrix *****************************/	/***************** imatrix *****************************/
int **imatrix(long nrl, long nrh, long ncl, long nch)	int **imatrix(long nrl, long nrh, long ncl, long nch)
/* allocate a int matrix with subscript range m[nrl..nrh][ncl..nch] */	/* allocate a int matrix with subscript range m[nrl..nrh][ncl..nch] */
Line 365 double **matrix(long nrl, long nrh, long	Line 522 double **matrix(long nrl, long nrh, long

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

/***********************free matrix **********************/	/***********************free matrix **********************/
Line 404 double ***ma3x(long nrl, long nrh, long	Line 563 double ***ma3x(long nrl, long nrh, long
for (j=ncl+1; j<=nch; j++)	for (j=ncl+1; j<=nch; j++)
m[i][j]=m[i][j-1]+nlay;	m[i][j]=m[i][j-1]+nlay;
}	}
return m;	return m;
	/* gdb: p *(m+1) <=> p m[1] and p (m+1) <=> p (m+1) <=> p &(m[1])
	&(m[i][j][k]) <=> (((m+i) + j)+k)
	*/
}	}

/***********************free ma3x **********************/	/***********************free ma3x **********************/
Line 415 void free_ma3x(double ***m, long nrl, lo	Line 577 void free_ma3x(double ***m, long nrl, lo
free((FREE_ARG)(m+nrl-NR_END));	free((FREE_ARG)(m+nrl-NR_END));
}	}

	/************* function subdirf *********/
	char *subdirf(char fileres[])
	{
	/* Caution optionfilefiname is hidden */
	strcpy(tmpout,optionfilefiname);
	strcat(tmpout,"/"); /* Add to the right */
	strcat(tmpout,fileres);
	return tmpout;
	}

	/************* function subdirf2 *********/
	char subdirf2(char fileres[], char preop)
	{

	/* Caution optionfilefiname is hidden */
	strcpy(tmpout,optionfilefiname);
	strcat(tmpout,"/");
	strcat(tmpout,preop);
	strcat(tmpout,fileres);
	return tmpout;
	}

	/************* function subdirf3 *********/
	char subdirf3(char fileres[], char preop, char *preop2)
	{

	/* Caution optionfilefiname is hidden */
	strcpy(tmpout,optionfilefiname);
	strcat(tmpout,"/");
	strcat(tmpout,preop);
	strcat(tmpout,preop2);
	strcat(tmpout,fileres);
	return tmpout;
	}

/*************** f1dim ***********************/	/*************** f1dim ***********************/
extern int ncom;	extern int ncom;
extern double pcom,xicom;	extern double pcom,xicom;
Line 590 void linmin(double p[], double xi[], int	Line 787 void linmin(double p[], double xi[], int
free_vector(pcom,1,n);	free_vector(pcom,1,n);
}	}

	char *asc_diff_time(long time_sec, char ascdiff[])
	{
	long sec_left, days, hours, minutes;
	days = (time_sec) / (606024);
	sec_left = (time_sec) % (606024);
	hours = (sec_left) / (60*60) ;
	sec_left = (sec_left) %(60*60);
	minutes = (sec_left) /60;
	sec_left = (sec_left) % (60);
	sprintf(ascdiff,"%d day(s) %d hour(s) %d minute(s) %d second(s)",days, hours, minutes, sec_left);
	return ascdiff;
	}

/************* powell **********************/	/************* powell **********************/
void powell(double p[], double *xi, int n, double ftol, int iter, double *fret,	void powell(double p[], double *xi, int n, double ftol, int iter, double *fret,
double (*func)(double []))	double (*func)(double []))
Line 600 void powell(double p[], double **xi, int	Line 810 void powell(double p[], double **xi, int
double del,t,pt,ptt,*xit;	double del,t,pt,ptt,*xit;
double fp,fptt;	double fp,fptt;
double *xits;	double *xits;
	int niterf, itmp;

pt=vector(1,n);	pt=vector(1,n);
ptt=vector(1,n);	ptt=vector(1,n);
xit=vector(1,n);	xit=vector(1,n);
Line 610 void powell(double p[], double **xi, int	Line 822 void powell(double p[], double **xi, int
fp=(*fret);	fp=(*fret);
ibig=0;	ibig=0;
del=0.0;	del=0.0;
printf("\nPowell iter=%d -2LL=%.12f",iter,*fret);	last_time=curr_time;
fprintf(ficlog,"\nPowell iter=%d -2LL=%.12f",iter,*fret);	(void) gettimeofday(&curr_time,&tzp);
for (i=1;i<=n;i++)	printf("\nPowell iter=%d -2LL=%.12f %ld sec. %ld sec.",iter,*fret, curr_time.tv_sec-last_time.tv_sec, curr_time.tv_sec-start_time.tv_sec);fflush(stdout);
	fprintf(ficlog,"\nPowell iter=%d -2LL=%.12f %ld sec. %ld sec.",iter,*fret, curr_time.tv_sec-last_time.tv_sec, curr_time.tv_sec-start_time.tv_sec);
	fprintf(ficrespow,"%d %.12f %ld",iter,fret,curr_time.tv_sec-start_time.tv_sec);
	for (i=1;i<=n;i++) {
printf(" %d %.12f",i, p[i]);	printf(" %d %.12f",i, p[i]);
fprintf(ficlog," %d %.12f",i, p[i]);	fprintf(ficlog," %d %.12lf",i, p[i]);
	fprintf(ficrespow," %.12lf", p[i]);
	}
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
	fprintf(ficrespow,"\n");fflush(ficrespow);
	if(*iter <=3){
	tm = *localtime(&curr_time.tv_sec);
	strcpy(strcurr,asctime(&tmf));
	/* asctime_r(&tm,strcurr); */
	forecast_time=curr_time;
	itmp = strlen(strcurr);
	if(strcurr[itmp-1]=='\n')
	strcurr[itmp-1]='\0';
	printf("\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,curr_time.tv_sec-last_time.tv_sec);
	fprintf(ficlog,"\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,curr_time.tv_sec-last_time.tv_sec);
	for(niterf=10;niterf<=30;niterf+=10){
	forecast_time.tv_sec=curr_time.tv_sec+(niterf-iter)(curr_time.tv_sec-last_time.tv_sec);
	tmf = *localtime(&forecast_time.tv_sec);
	/* asctime_r(&tmf,strfor); */
	strcpy(strfor,asctime(&tmf));
	itmp = strlen(strfor);
	if(strfor[itmp-1]=='\n')
	strfor[itmp-1]='\0';
	printf(" - if your program needs %d iterations to converge, convergence will be \n reached in %s or\n on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);
	fprintf(ficlog," - if your program needs %d iterations to converge, convergence will be \n reached in %s or\n on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);
	}
	}
for (i=1;i<=n;i++) {	for (i=1;i<=n;i++) {
for (j=1;j<=n;j++) xit[j]=xi[j][i];	for (j=1;j<=n;j++) xit[j]=xi[j][i];
fptt=(*fret);	fptt=(*fret);
Line 856 double matprod2(double out, double *	Line 1096 double matprod2(double out, double *

double *hpxij(double po, int nhstepm, double age, int hstepm, double x, int nlstate, int stepm, double oldm, double savm, int ij )	double *hpxij(double po, int nhstepm, double age, int hstepm, double x, int nlstate, int stepm, double oldm, double savm, int ij )
{	{
/* Computes the transition matrix starting at age 'age' over 'nhstepmhstepmstepm' month	/* Computes the transition matrix starting at age 'age' over
duration (i.e. until	'nhstepmhstepmstepm' months (i.e. until
age (in years) age+nhstepmstepm/12) by multiplying nhstepmhstepm matrices.	age (in years) age+nhstepmhstepmstepm/12) by multiplying
	nhstepm*hstepm matrices.
Output is stored in matrix po[i][j][h] for h every 'hstepm' step	Output is stored in matrix po[i][j][h] for h every 'hstepm' step
(typically every 2 years instead of every month which is too big).	(typically every 2 years instead of every month which is too big
	for the memory).
Model is determined by parameters x and covariates have to be	Model is determined by parameters x and covariates have to be
included manually here.	included manually here.

Line 917 double func( double *x)	Line 1159 double func( double *x)
double sw; /* Sum of weights */	double sw; /* Sum of weights */
double lli; /* Individual log likelihood */	double lli; /* Individual log likelihood */
int s1, s2;	int s1, s2;
double bbh;	double bbh, survp;
long ipmx;	long ipmx;
/extern weight /	/extern weight /
/* We are differentiating ll according to initial status */	/* We are differentiating ll according to initial status */
Line 970 double func( double *x)	Line 1212 double func( double *x)
* is higher than the multiple of stepm and negative otherwise.	* is higher than the multiple of stepm and negative otherwise.
*/	*/
/* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]):log((1.+bbh)out[s1][s2]));/	/* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]):log((1.+bbh)out[s1][s2]));/
lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)out[s1][s2]- bbh(savm[s1][s2])):log((1.+bbh)out[s1][s2])); / linear interpolation */	if( s2 > nlstate){
	/* i.e. if s2 is a death state and if the date of death is known then the contribution
	to the likelihood is the probability to die between last step unit time and current
	step unit time, which is also the differences between probability to die before dh
	and probability to die before dh-stepm .
	In version up to 0.92 likelihood was computed
	as if date of death was unknown. Death was treated as any other
	health state: the date of the interview describes the actual state
	and not the date of a change in health state. The former idea was
	to consider that at each interview the state was recorded
	(healthy, disable or death) and IMaCh was corrected; but when we
	introduced the exact date of death then we should have modified
	the contribution of an exact death to the likelihood. This new
	contribution is smaller and very dependent of the step unit
	stepm. It is no more the probability to die between last interview
	and month of death but the probability to survive from last
	interview up to one month before death multiplied by the
	probability to die within a month. Thanks to Chris
	Jackson for correcting this bug. Former versions increased
	mortality artificially. The bad side is that we add another loop
	which slows down the processing. The difference can be up to 10%
	lower mortality.
	*/
	lli=log(out[s1][s2] - savm[s1][s2]);
	}else{
	lli= log((1.+bbh)out[s1][s2]- bbhsavm[s1][s2]); /* linear interpolation */
	/* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)out[s1][s2]- bbh(savm[s1][s2])):log((1.+bbh)out[s1][s2]));/ /* linear interpolation */
	}
/lli=(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]);/	/lli=(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]);/
/if(lli ==000.0)/	/if(lli ==000.0)/
/printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); /	/printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); /
ipmx +=1;	ipmx +=1;
sw += weight[i];	sw += weight[i];
ll[s[mw[mi][i]][i]] += 2weight[i]lli;	ll[s[mw[mi][i]][i]] += 2weight[i]lli;
} /* end of wave */	} /* end of wave */
Line 1000 double func( double *x)	Line 1269 double func( double *x)
oldm=newm;	oldm=newm;
} /* end mult */	} /* end mult */

/lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);/ /* Original formula */
/* But now since version 0.9 we anticipate for bias and large stepm.
* If stepm is larger than one month (smallest stepm) and if the exact delay
* (in months) between two waves is not a multiple of stepm, we rounded to
* the nearest (and in case of equal distance, to the lowest) interval but now
* we keep into memory the bias bh[mi][i] and also the previous matrix product
* (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the
* probability in order to take into account the bias as a fraction of the way
* from savm to out if bh is neagtive or even beyond if bh is positive. bh varies
* -stepm/2 to stepm/2 .
* For stepm=1 the results are the same as for previous versions of Imach.
* For stepm > 1 the results are less biased than in previous versions.
*/
s1=s[mw[mi][i]][i];	s1=s[mw[mi][i]][i];
s2=s[mw[mi+1][i]][i];	s2=s[mw[mi+1][i]][i];
bbh=(double)bh[mi][i]/(double)stepm;	bbh=(double)bh[mi][i]/(double)stepm;
/* bias is positive if real duration
* is higher than the multiple of stepm and negative otherwise.
*/
lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)out[s1][s2]- bbh(savm[s1][s2])):log((1.+bbh)out[s1][s2])); / linear interpolation */	lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)out[s1][s2]- bbh(savm[s1][s2])):log((1.+bbh)out[s1][s2])); / linear interpolation */
/* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]):log((1.+bbh)out[s1][s2]));/
/lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]):log((1.-+bh)out[s1][s2])); / / exponential interpolation */
/lli=(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]);/
/if(lli ==000.0)/
/printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); /
ipmx +=1;	ipmx +=1;
sw += weight[i];	sw += weight[i];
ll[s[mw[mi][i]][i]] += 2weight[i]lli;	ll[s[mw[mi][i]][i]] += 2weight[i]lli;
Line 1051 double func( double *x)	Line 1299 double func( double *x)
oldm=newm;	oldm=newm;
} /* end mult */	} /* end mult */

/lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);/ /* Original formula */
/* But now since version 0.9 we anticipate for bias and large stepm.
* If stepm is larger than one month (smallest stepm) and if the exact delay
* (in months) between two waves is not a multiple of stepm, we rounded to
* the nearest (and in case of equal distance, to the lowest) interval but now
* we keep into memory the bias bh[mi][i] and also the previous matrix product
* (i.e to dh[mi][i]-1) saved in 'savm'. The we inter(extra)polate the
* probability in order to take into account the bias as a fraction of the way
* from savm to out if bh is neagtive or even beyond if bh is positive. bh varies
* -stepm/2 to stepm/2 .
* For stepm=1 the results are the same as for previous versions of Imach.
* For stepm > 1 the results are less biased than in previous versions.
*/
s1=s[mw[mi][i]][i];	s1=s[mw[mi][i]][i];
s2=s[mw[mi+1][i]][i];	s2=s[mw[mi+1][i]][i];
bbh=(double)bh[mi][i]/(double)stepm;	bbh=(double)bh[mi][i]/(double)stepm;
/* bias is positive if real duration
* is higher than the multiple of stepm and negative otherwise.
*/
/* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)out[s1][s2]- bbh(savm[s1][s2])):log((1.+bbh)out[s1][s2])); / /* linear interpolation */
lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]):log((1.+bbh)out[s1][s2])); / exponential inter-extrapolation */	lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]):log((1.+bbh)out[s1][s2])); / exponential inter-extrapolation */
/lli=(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]);/
/if(lli ==000.0)/
/printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); /
ipmx +=1;	ipmx +=1;
sw += weight[i];	sw += weight[i];
ll[s[mw[mi][i]][i]] += 2weight[i]lli;	ll[s[mw[mi][i]][i]] += 2weight[i]lli;
} /* end of wave */	} /* end of wave */
} /* end of individual */	} /* end of individual */
}else{ /* ml=4 no inter-extrapolation */	}else if (mle==4){ /* ml=4 no inter-extrapolation */
for (i=1,ipmx=0, sw=0.; i<=imx; i++){	for (i=1,ipmx=0, sw=0.; i<=imx; i++){
for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];	for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
for(mi=1; mi<= wav[i]-1; mi++){	for(mi=1; mi<= wav[i]-1; mi++){
Line 1102 double func( double *x)	Line 1330 double func( double *x)
oldm=newm;	oldm=newm;
} /* end mult */	} /* end mult */

	s1=s[mw[mi][i]][i];
	s2=s[mw[mi+1][i]][i];
	if( s2 > nlstate){
	lli=log(out[s1][s2] - savm[s1][s2]);
	}else{
	lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */
	}
	ipmx +=1;
	sw += weight[i];
	ll[s[mw[mi][i]][i]] += 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]); */
	} /* end of wave */
	} /* end of individual */
	}else{ /* ml=5 no inter-extrapolation no jackson =0.8a */
	for (i=1,ipmx=0, sw=0.; i<=imx; i++){
	for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
	for(mi=1; mi<= wav[i]-1; mi++){
	for (ii=1;ii<=nlstate+ndeath;ii++)
	for (j=1;j<=nlstate+ndeath;j++){
	oldm[ii][j]=(ii==j ? 1.0 : 0.0);
	savm[ii][j]=(ii==j ? 1.0 : 0.0);
	}
	for(d=0; d<dh[mi][i]; d++){
	newm=savm;
	cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
	for (kk=1; kk<=cptcovage;kk++) {
	cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
	}

	out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
	1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
	savm=oldm;
	oldm=newm;
	} /* end mult */

	s1=s[mw[mi][i]][i];
	s2=s[mw[mi+1][i]][i];
lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */	lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]); /* Original formula */
ipmx +=1;	ipmx +=1;
sw += weight[i];	sw += weight[i];
ll[s[mw[mi][i]][i]] += 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]);/
} /* end of wave */	} /* end of wave */
} /* end of individual */	} /* end of individual */
} /* End of if */	} /* End of if */
Line 1115 double func( double *x)	Line 1381 double func( double *x)
return -l;	return -l;
}	}

	/************* log-likelihood ***********/
	double funcone( double *x)
	{
	/* Same as likeli but slower because of a lot of printf and if */
	int i, ii, j, k, mi, d, kk;
	double l, ll[NLSTATEMAX], cov[NCOVMAX];
	double **out;
	double lli; /* Individual log likelihood */
	double llt;
	int s1, s2;
	double bbh, survp;
	/extern weight /
	/* We are differentiating ll according to initial status */
	/* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/
	/*for(i=1;i<imx;i++)
	printf(" %d\n",s[4][i]);
	*/
	cov[1]=1.;

	for(k=1; k<=nlstate; k++) ll[k]=0.;

	for (i=1,ipmx=0, sw=0.; i<=imx; i++){
	for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];
	for(mi=1; mi<= wav[i]-1; mi++){
	for (ii=1;ii<=nlstate+ndeath;ii++)
	for (j=1;j<=nlstate+ndeath;j++){
	oldm[ii][j]=(ii==j ? 1.0 : 0.0);
	savm[ii][j]=(ii==j ? 1.0 : 0.0);
	}
	for(d=0; d<dh[mi][i]; d++){
	newm=savm;
	cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
	for (kk=1; kk<=cptcovage;kk++) {
	cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
	}
	out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
	1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
	savm=oldm;
	oldm=newm;
	} /* end mult */

	s1=s[mw[mi][i]][i];
	s2=s[mw[mi+1][i]][i];
	bbh=(double)bh[mi][i]/(double)stepm;
	/* bias is positive if real duration
	* is higher than the multiple of stepm and negative otherwise.
	*/
	if( s2 > nlstate && (mle <5) ){ /* Jackson */
	lli=log(out[s1][s2] - savm[s1][s2]);
	} else if (mle==1){
	lli= log((1.+bbh)out[s1][s2]- bbhsavm[s1][s2]); /* linear interpolation */
	} else if(mle==2){
	lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)out[s1][s2]- bbhsavm[s1][s2]):log((1.+bbh)out[s1][s2])); / linear interpolation */
	} else if(mle==3){ /* exponential inter-extrapolation */
	lli= (savm[s1][s2]>(double)1.e-8 ?(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]):log((1.+bbh)out[s1][s2])); / exponential inter-extrapolation */
	} else if (mle==4){ /* mle=4 no inter-extrapolation */
	lli=log(out[s1][s2]); /* Original formula */
	} else{ /* ml>=5 no inter-extrapolation no jackson =0.8a */
	lli=log(out[s1][s2]); /* Original formula */
	} /* End of if */
	ipmx +=1;
	sw += weight[i];
	ll[s[mw[mi][i]][i]] += 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]); */
	if(globpr){
	fprintf(ficresilk,"%9d %6d %1d %1d %1d %1d %3d %10.6f %6.4f\
	%10.6f %10.6f %10.6f ", \
	num[i],i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],
	2weight[i]lli,out[s1][s2],savm[s1][s2]);
	for(k=1,llt=0.,l=0.; k<=nlstate; k++){
	llt +=ll[k]*gipmx/gsw;
	fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw);
	}
	fprintf(ficresilk," %10.6f\n", -llt);
	}
	} /* end of wave */
	} /* end of individual */
	for(k=1,l=0.; k<=nlstate; k++) l += ll[k];
	/* printf("l1=%f l2=%f ",ll[1],ll[2]); */
	l= lipmx/sw; / To get the same order of magnitude as if weight=1 for every body */
	if(globpr==0){ /* First time we count the contributions and weights */
	gipmx=ipmx;
	gsw=sw;
	}
	return -l;
	}


	/************* function likelione *********/
	void likelione(FILE ficres,double p[], int npar, int nlstate, int globpri, long ipmx, double sw, double fretone, double (funcone)(double []))
	{
	/* This routine should help understanding what is done with
	the selection of individuals/waves and
	to check the exact contribution to the likelihood.
	Plotting could be done.
	*/
	int k;

	if(globpri !=0){ / Just counts and sums, no printings */
	strcpy(fileresilk,"ilk");
	strcat(fileresilk,fileres);
	if((ficresilk=fopen(fileresilk,"w"))==NULL) {
	printf("Problem with resultfile: %s\n", fileresilk);
	fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk);
	}
	fprintf(ficresilk, "#individual(line's_record) s1 s2 wave# effective_wave# number_of_matrices_product pij weight -2ln(pij)weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2llweightXnumber_of_contribs/sum_of_weights) and_total\n");
	fprintf(ficresilk, "#num_i i s1 s2 mi mw dh likeli weight 2wlli out sav ");
	/* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2weight[i]lli,out[s1][s2],savm[s1][s2]); */
	for(k=1; k<=nlstate; k++)
	fprintf(ficresilk," -2gipw/gswweight*ll[%d]++",k);
	fprintf(ficresilk," -2gipw/gswweight*ll(total)\n");
	}

	fretone=(funcone)(p);
	if(*globpri !=0){
	fclose(ficresilk);
	fprintf(fichtm,"\n<br>File of contributions to the likelihood: <a href=\"%s\">%s</a><br>\n",subdirf(fileresilk),subdirf(fileresilk));
	fflush(fichtm);
	}
	return;
	}


/********* Maximum Likelihood Estimation *************/	/********* Maximum Likelihood Estimation *************/

void mlikeli(FILE ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (func)(double []))	void mlikeli(FILE ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (func)(double []))
{	{
int i,j, iter;	int i,j, iter;
double *xi,delti;	double **xi;
double fret;	double fret;
	double fretone; /* Only one call to likelihood */
	char filerespow[FILENAMELENGTH];
xi=matrix(1,npar,1,npar);	xi=matrix(1,npar,1,npar);
for (i=1;i<=npar;i++)	for (i=1;i<=npar;i++)
for (j=1;j<=npar;j++)	for (j=1;j<=npar;j++)
xi[i][j]=(i==j ? 1.0 : 0.0);	xi[i][j]=(i==j ? 1.0 : 0.0);
printf("Powell\n"); fprintf(ficlog,"Powell\n");	printf("Powell\n"); fprintf(ficlog,"Powell\n");
	strcpy(filerespow,"pow");
	strcat(filerespow,fileres);
	if((ficrespow=fopen(filerespow,"w"))==NULL) {
	printf("Problem with resultfile: %s\n", filerespow);
	fprintf(ficlog,"Problem with resultfile: %s\n", filerespow);
	}
	fprintf(ficrespow,"# Powell\n# iter -2*LL");
	for (i=1;i<=nlstate;i++)
	for(j=1;j<=nlstate+ndeath;j++)
	if(j!=i)fprintf(ficrespow," p%1d%1d",i,j);
	fprintf(ficrespow,"\n");

powell(p,xi,npar,ftol,&iter,&fret,func);	powell(p,xi,npar,ftol,&iter,&fret,func);

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

}	}
Line 1394 void lubksb(double *a, int n, int indx	Line 1797 void lubksb(double *a, int n, int indx
}	}

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

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

pp=vector(1,nlstate);	pp=vector(1,nlstate);
probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);	prop=matrix(1,nlstate,iagemin,iagemax+3);
strcpy(fileresp,"p");	strcpy(fileresp,"p");
strcat(fileresp,fileres);	strcat(fileresp,fileres);
if((ficresp=fopen(fileresp,"w"))==NULL) {	if((ficresp=fopen(fileresp,"w"))==NULL) {
Line 1414 void freqsummary(char fileres[], int ag	Line 1817 void freqsummary(char fileres[], int ag
fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);	fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);
exit(0);	exit(0);
}	}
freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3);	freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);
j1=0;	j1=0;

j=cptcoveff;	j=cptcoveff;
Line 1429 void freqsummary(char fileres[], int ag	Line 1832 void freqsummary(char fileres[], int ag
scanf("%d", i);*/	scanf("%d", i);*/
for (i=-1; i<=nlstate+ndeath; i++)	for (i=-1; i<=nlstate+ndeath; i++)
for (jk=-1; jk<=nlstate+ndeath; jk++)	for (jk=-1; jk<=nlstate+ndeath; jk++)
for(m=agemin; m <= agemax+3; m++)	for(m=iagemin; m <= iagemax+3; m++)
freq[i][jk][m]=0;	freq[i][jk][m]=0;

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

dateintsum=0;	dateintsum=0;
k2cpt=0;	k2cpt=0;
Line 1444 void freqsummary(char fileres[], int ag	Line 1851 void freqsummary(char fileres[], int ag
if (bool==1){	if (bool==1){
for(m=firstpass; m<=lastpass; m++){	for(m=firstpass; m<=lastpass; m++){
k2=anint[m][i]+(mint[m][i]/12.);	k2=anint[m][i]+(mint[m][i]/12.);
if ((k2>=dateprev1) && (k2<=dateprev2)) {	/if ((k2>=dateprev1) && (k2<=dateprev2)) {/
if(agev[m][i]==0) agev[m][i]=agemax+1;	if(agev[m][i]==0) agev[m][i]=iagemax+1;
if(agev[m][i]==1) agev[m][i]=agemax+2;	if(agev[m][i]==1) agev[m][i]=iagemax+2;
	if (s[m][i]>0 && s[m][i]<=nlstate) prop[s[m][i]][(int)agev[m][i]] += weight[i];
if (m<lastpass) {	if (m<lastpass) {
freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];	freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];
freq[s[m][i]][s[m+1][i]][(int) agemax+3] += weight[i];	freq[s[m][i]][s[m+1][i]][iagemax+3] += weight[i];
}	}

if ((agev[m][i]>1) && (agev[m][i]< (agemax+3))) {	if ((agev[m][i]>1) && (agev[m][i]< (iagemax+3))) {
dateintsum=dateintsum+k2;	dateintsum=dateintsum+k2;
k2cpt++;	k2cpt++;
}	}
}	/}/
}	}
}	}
}	}

fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);	/* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/

if (cptcovn>0) {	if (cptcovn>0) {
fprintf(ficresp, "\n#********** Variable ");	fprintf(ficresp, "\n#********** Variable ");
Line 1472 void freqsummary(char fileres[], int ag	Line 1880 void freqsummary(char fileres[], int ag
fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);	fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);
fprintf(ficresp, "\n");	fprintf(ficresp, "\n");

for(i=(int)agemin; i <= (int)agemax+3; i++){	for(i=iagemin; i <= iagemax+3; i++){
if(i==(int)agemax+3){	if(i==iagemax+3){
fprintf(ficlog,"Total");	fprintf(ficlog,"Total");
}else{	}else{
if(first==1){	if(first==1){
Line 1504 void freqsummary(char fileres[], int ag	Line 1912 void freqsummary(char fileres[], int ag
for(jk=1; jk <=nlstate ; jk++){	for(jk=1; jk <=nlstate ; jk++){
for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)	for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)
pp[jk] += freq[jk][m][i];	pp[jk] += freq[jk][m][i];
}	}
	for(jk=1,pos=0,posprop=0; jk <=nlstate ; jk++){
for(jk=1,pos=0; jk <=nlstate ; jk++)
pos += pp[jk];	pos += pp[jk];
	posprop += prop[jk][i];
	}
for(jk=1; jk <=nlstate ; jk++){	for(jk=1; jk <=nlstate ; jk++){
if(pos>=1.e-5){	if(pos>=1.e-5){
if(first==1)	if(first==1)
Line 1518 void freqsummary(char fileres[], int ag	Line 1927 void freqsummary(char fileres[], int ag
printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);	printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);	fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
}	}
if( i <= (int) agemax){	if( i <= iagemax){
if(pos>=1.e-5){	if(pos>=1.e-5){
fprintf(ficresp," %d %.5f %.0f %.0f",i,pp[jk]/pos, pp[jk],pos);	fprintf(ficresp," %d %.5f %.0f %.0f",i,prop[jk][i]/posprop, prop[jk][i],posprop);
probs[i][jk][j1]= pp[jk]/pos;	/probs[i][jk][j1]= pp[jk]/pos;/
/printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);/	/printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);/
}	}
else	else
fprintf(ficresp," %d NaNq %.0f %.0f",i,pp[jk],pos);	fprintf(ficresp," %d NaNq %.0f %.0f",i,prop[jk][i],posprop);
}	}
}	}

Line 1536 void freqsummary(char fileres[], int ag	Line 1945 void freqsummary(char fileres[], int ag
printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);	printf(" %d%d=%.0f",jk,m,freq[jk][m][i]);
fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]);	fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]);
}	}
if(i <= (int) agemax)	if(i <= iagemax)
fprintf(ficresp,"\n");	fprintf(ficresp,"\n");
if(first==1)	if(first==1)
printf("Others in log...\n");	printf("Others in log...\n");
Line 1547 void freqsummary(char fileres[], int ag	Line 1956 void freqsummary(char fileres[], int ag
dateintmean=dateintsum/k2cpt;	dateintmean=dateintsum/k2cpt;

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

/********** Prevalence ******************/	/********** Prevalence ******************/
void prevalence(int agemin, float agemax, int s, double agev, int nlstate, int imx, int Tvar, int nbcode, int ncodemax,double mint,double anint, double dateprev1,double dateprev2, double calagedate)	void prevalence(double *probs, double agemin, double agemax, int s, double *agev, int nlstate, int imx, int Tvar, int *nbcode, int ncodemax,double mint,double anint, double dateprev1,double dateprev2, int firstpass, int lastpass)
{ /* Some frequencies */	{
	/* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people
	in each health status at the date of interview (if between dateprev1 and dateprev2).
	We still use firstpass and lastpass as another selection.
	*/

int i, m, jk, k1, i1, j1, bool, z1,z2,j;	int i, m, jk, k1, i1, j1, bool, z1,z2,j;
double **freq; / Frequencies */	double **freq; / Frequencies */
double *pp;	double pp, *prop;
double pos, k2;	double pos,posprop;
	double y2; /* in fractional years */
pp=vector(1,nlstate);	int iagemin, iagemax;

freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3);	iagemin= (int) agemin;
	iagemax= (int) agemax;
	/pp=vector(1,nlstate);/
	prop=matrix(1,nlstate,iagemin,iagemax+3);
	/* freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/
j1=0;	j1=0;

j=cptcoveff;	j=cptcoveff;
Line 1574 void prevalence(int agemin, float agemax	Line 1991 void prevalence(int agemin, float agemax
for(i1=1; i1<=ncodemax[k1];i1++){	for(i1=1; i1<=ncodemax[k1];i1++){
j1++;	j1++;

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

for (i=1; i<=imx; i++) {	for (i=1; i<=imx; i++) { /* Each individual */
bool=1;	bool=1;
if (cptcovn>0) {	if (cptcovn>0) {
for (z1=1; z1<=cptcoveff; z1++)	for (z1=1; z1<=cptcoveff; z1++)
Line 1587 void prevalence(int agemin, float agemax	Line 2003 void prevalence(int agemin, float agemax
bool=0;	bool=0;
}	}
if (bool==1) {	if (bool==1) {
for(m=firstpass; m<=lastpass; m++){	for(m=firstpass; m<=lastpass; m++){/* Other selection (we can limit to certain interviews*/
k2=anint[m][i]+(mint[m][i]/12.);	y2=anint[m][i]+(mint[m][i]/12.); /* Fractional date in year */
if ((k2>=dateprev1) && (k2<=dateprev2)) {	if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */
if(agev[m][i]==0) agev[m][i]=agemax+1;	if(agev[m][i]==0) agev[m][i]=iagemax+1;
if(agev[m][i]==1) agev[m][i]=agemax+2;	if(agev[m][i]==1) agev[m][i]=iagemax+2;
if (m<lastpass) {	if((int)agev[m][i] <iagemin \|\| (int)agev[m][i] >iagemax+3) printf("Error on individual =%d agev[m][i]=%f m=%d\n",i, agev[m][i],m);
if (calagedate>0)	if (s[m][i]>0 && s[m][i]<=nlstate) {
freq[s[m][i]][s[m+1][i]][(int)(agev[m][i]+1-((int)calagedate %12)/12.)] += weight[i];	/if(i>4620) printf(" i=%d m=%d s[m][i]=%d (int)agev[m][i]=%d weight[i]=%f prop=%f\n",i,m,s[m][i],(int)agev[m][m],weight[i],prop[s[m][i]][(int)agev[m][i]]);/
else	prop[s[m][i]][(int)agev[m][i]] += weight[i];
freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i];	prop[s[m][i]][iagemax+3] += weight[i];
freq[s[m][i]][s[m+1][i]][(int)(agemax+3)] += weight[i];	}
}
}	}
}	} /* end selection of waves */
}	}
}	}
for(i=(int)agemin; i <= (int)agemax+3; i++){	for(i=iagemin; i <= iagemax+3; i++){
for(jk=1; jk <=nlstate ; jk++){
for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++)
pp[jk] += freq[jk][m][i];
}
for(jk=1; jk <=nlstate ; jk++){
for(m=-1, pos=0; m <=0 ; m++)
pos += freq[jk][m][i];
}

for(jk=1; jk <=nlstate ; jk++){	for(jk=1,posprop=0; jk <=nlstate ; jk++) {
for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)	posprop += prop[jk][i];
pp[jk] += freq[jk][m][i];	}
}
	for(jk=1; jk <=nlstate ; jk++){
for(jk=1,pos=0; jk <=nlstate ; jk++) pos += pp[jk];	if( i <= iagemax){
	if(posprop>=1.e-5){
for(jk=1; jk <=nlstate ; jk++){	probs[i][jk][j1]= prop[jk][i]/posprop;
if( i <= (int) agemax){	}
if(pos>=1.e-5){	}
probs[i][jk][j1]= pp[jk]/pos;	}/* end jk */
}	}/* end i */
}
}/* end jk */
}/* end i */
} /* end i1 */	} /* end i1 */
} /* end k1 */	} /* end k1 */


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

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

/*********** Waves Concatenation *************/	/*********** Waves Concatenation *************/

Line 1678 void concatwav(int wav[], int **dh, int	Line 2081 void concatwav(int wav[], int **dh, int

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

for(i=1; i<=imx; i++){	for(i=1; i<=imx; i++){
for(mi=1; mi<wav[i];mi++){	for(mi=1; mi<wav[i];mi++){
if (stepm <=0)	if (stepm <=0)
dh[mi][i]=1;	dh[mi][i]=1;
else{	else{
if (s[mw[mi+1][i]][i] > nlstate) {	if (s[mw[mi+1][i]][i] > nlstate) { /* A death */
if (agedc[i] < 2*AGESUP) {	if (agedc[i] < 2*AGESUP) {
j= rint(agedc[i]12-agev[mw[mi][i]][i]12);	j= rint(agedc[i]12-agev[mw[mi][i]][i]12);
if(j==0) j=1; /* Survives at least one month after exam */	if(j==0) j=1; /* Survives at least one month after exam */
k=k+1;	else if(j<0){
if (j >= jmax) jmax=j;	nberr++;
if (j <= jmin) jmin=j;	printf("Error! Negative delay (%d to death) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
sum=sum+j;	j=1; /* Temporary Dangerous patch */
/if (j<0) printf("j=%d num=%d \n",j,i); /	printf(" We assumed that the date of interview was correct (and not the date of death) and postponed the death %d month(s) (one stepm) after the interview.\n You MUST fix the contradiction between dates.\n",stepm);
	fprintf(ficlog,"Error! Negative delay (%d to death) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
	fprintf(ficlog," We assumed that the date of interview was correct (and not the date of death) and postponed the death %d month(s) (one stepm) after the interview.\n You MUST fix the contradiction between dates.\n",stepm);
	}
	k=k+1;
	if (j >= jmax) jmax=j;
	if (j <= jmin) jmin=j;
	sum=sum+j;
	/if (j<0) printf("j=%d num=%d \n",j,i);/
	/* printf("%d %d %d %d\n", s[mw[mi][i]][i] ,s[mw[mi+1][i]][i],j,i);*/
}	}
}	}
else{	else{
j= rint( (agev[mw[mi+1][i]][i]12 - agev[mw[mi][i]][i]12));	j= rint( (agev[mw[mi+1][i]][i]12 - agev[mw[mi][i]][i]12));
	/* printf("%d %d %d %d\n", s[mw[mi][i]][i] ,s[mw[mi+1][i]][i],j,i);*/
k=k+1;	k=k+1;
if (j >= jmax) jmax=j;	if (j >= jmax) jmax=j;
else if (j <= jmin)jmin=j;	else if (j <= jmin)jmin=j;
/* if (j<10) printf("j=%d jmin=%d num=%d ",j,jmin,i); */	/* if (j<10) printf("j=%d jmin=%d num=%d ",j,jmin,i); */
	/printf("%d %lf %d %d %d\n", i,agev[mw[mi][i]][i],j,s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);/
	if(j<0){
	nberr++;
	printf("Error! Negative delay (%d) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
	fprintf(ficlog,"Error! Negative delay (%d) between waves %d and %d of individual %ld at line %d who is aged %.1f with statuses from %d to %d\n ",j,mw[mi][i],mw[mi+1][i],num[i], i,agev[mw[mi][i]][i],s[mw[mi][i]][i] ,s[mw[mi+1][i]][i]);
	}
sum=sum+j;	sum=sum+j;
}	}
jk= j/stepm;	jk= j/stepm;
jl= j -jk*stepm;	jl= j -jk*stepm;
ju= j -(jk+1)*stepm;	ju= j -(jk+1)*stepm;
if(mle <=1){	if(mle <=1){ /* only if we use a the linear-interpoloation pseudo-likelihood */
if(jl==0){	if(jl==0){
dh[mi][i]=jk;	dh[mi][i]=jk;
bh[mi][i]=0;	bh[mi][i]=0;
Line 1738 void concatwav(int wav[], int **dh, int	Line 2158 void concatwav(int wav[], int **dh, int
if(dh[mi][i]==0){	if(dh[mi][i]==0){
dh[mi][i]=1; /* At least one step */	dh[mi][i]=1; /* At least one step */
bh[mi][i]=ju; /* At least one step */	bh[mi][i]=ju; /* At least one step */
printf(" bh=%d ju=%d jl=%d dh=%d jk=%d stepm=%d %d\n",bh[mi][i],ju,jl,dh[mi][i],jk,stepm,i);	/* printf(" bh=%d ju=%d jl=%d dh=%d jk=%d stepm=%d %d\n",bh[mi][i],ju,jl,dh[mi][i],jk,stepm,i);*/
}	}
if(i==298 \|\| i==287 \|\| i==763 \|\|i==1061)printf(" bh=%d ju=%d jl=%d dh=%d jk=%d stepm=%d",bh[mi][i],ju,jl,dh[mi][i],jk,stepm);	} /* end if mle */
}	}
} /* end if mle */
} /* end wave */	} /* end wave */
}	}
jmean=sum/k;	jmean=sum/k;
Line 1824 void evsij(char fileres[], double ***eij	Line 2243 void evsij(char fileres[], double ***eij
double *gradg, *trgradg;	double *gradg, *trgradg;
int theta;	int theta;

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

fprintf(ficreseij,"# Health expectancies\n");	fprintf(ficreseij,"# Health expectancies\n");
fprintf(ficreseij,"# Age");	fprintf(ficreseij,"# Age");
Line 1844 void evsij(char fileres[], double ***eij	Line 2263 void evsij(char fileres[], double ***eij
* This is mainly to measure the difference between two models: for example	* This is mainly to measure the difference between two models: for example
* if stepm=24 months pijx are given only every 2 years and by summing them	* if stepm=24 months pijx are given only every 2 years and by summing them
* we are calculating an estimate of the Life Expectancy assuming a linear	* we are calculating an estimate of the Life Expectancy assuming a linear
* progression inbetween and thus overestimating or underestimating according	* progression in between and thus overestimating or underestimating according
* to the curvature of the survival function. If, for the same date, we	* to the curvature of the survival function. If, for the same date, we
* estimate the model with stepm=1 month, we can keep estepm to 24 months	* estimate the model with stepm=1 month, we can keep estepm to 24 months
* to compare the new estimate of Life expectancy with the same linear	* to compare the new estimate of Life expectancy with the same linear
Line 1873 void evsij(char fileres[], double ***eij	Line 2292 void evsij(char fileres[], double ***eij
/* if (stepm >= YEARM) hstepm=1;*/	/* if (stepm >= YEARM) hstepm=1;*/
nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */	nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);	p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
gradg=ma3x(0,nhstepm,1,npar,1,nlstate*2);	gradg=ma3x(0,nhstepm,1,npar,1,nlstate*nlstate);
gp=matrix(0,nhstepm,1,nlstate*2);	gp=matrix(0,nhstepm,1,nlstate*nlstate);
gm=matrix(0,nhstepm,1,nlstate*2);	gm=matrix(0,nhstepm,1,nlstate*nlstate);

/* Computed by stepm unit matrices, product of hstepm matrices, stored	/* Computed by stepm unit matrices, product of hstepm matrices, stored
in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */	in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */
Line 1884 void evsij(char fileres[], double ***eij	Line 2303 void evsij(char fileres[], double ***eij

hf=hstepmstepm/YEARM; / Duration of hstepm expressed in year unit. */	hf=hstepmstepm/YEARM; / Duration of hstepm expressed in year unit. */

/* Computing Variances of health expectancies */	/* Computing Variances of health expectancies */

for(theta=1; theta <=npar; theta++){	for(theta=1; theta <=npar; theta++){
for(i=1; i<=npar; i++){	for(i=1; i<=npar; i++){
Line 1912 void evsij(char fileres[], double ***eij	Line 2331 void evsij(char fileres[], double ***eij
for(i=1;i<=nlstate;i++){	for(i=1;i<=nlstate;i++){
cptj=cptj+1;	cptj=cptj+1;
for(h=0, gm[h][cptj]=0.; h<=nhstepm-1; h++){	for(h=0, gm[h][cptj]=0.; h<=nhstepm-1; h++){

gm[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.;	gm[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.;
}	}
}	}
}	}
for(j=1; j<= nlstate*2; j++)	for(j=1; j<= nlstate*nlstate; j++)
for(h=0; h<=nhstepm-1; h++){	for(h=0; h<=nhstepm-1; h++){
gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];	gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
}	}
Line 1924 void evsij(char fileres[], double ***eij	Line 2344 void evsij(char fileres[], double ***eij

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

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

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


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

printf("%d\|",(int)age);fflush(stdout);	printf("%d\|",(int)age);fflush(stdout);
fprintf(ficlog,"%d\|",(int)age);fflush(ficlog);	fprintf(ficlog,"%d\|",(int)age);fflush(ficlog);
for(h=0;h<=nhstepm-1;h++){	for(h=0;h<=nhstepm-1;h++){
for(k=0;k<=nhstepm-1;k++){	for(k=0;k<=nhstepm-1;k++){
matprod2(dnewm,trgradg[h],1,nlstate*2,1,npar,1,npar,matcov);	matprod2(dnewm,trgradg[h],1,nlstate*nlstate,1,npar,1,npar,matcov);
matprod2(doldm,dnewm,1,nlstate2,1,npar,1,nlstate2,gradg[k]);	matprod2(doldm,dnewm,1,nlstatenlstate,1,npar,1,nlstatenlstate,gradg[k]);
for(i=1;i<=nlstate*2;i++)	for(i=1;i<=nlstate*nlstate;i++)
for(j=1;j<=nlstate*2;j++)	for(j=1;j<=nlstate*nlstate;j++)
varhe[i][j][(int)age] += doldm[i][j]hfhf;	varhe[i][j][(int)age] += doldm[i][j]hfhf;
}	}
}	}
Line 1966 void evsij(char fileres[], double ***eij	Line 2386 void evsij(char fileres[], double ***eij
}	}
fprintf(ficreseij,"\n");	fprintf(ficreseij,"\n");

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

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

/********** Variance ****************/	/********** Variance ****************/
Line 2034 void varevsij(char optionfilefiname[], d	Line 2454 void varevsij(char optionfilefiname[], d
}	}
printf("Computing total mortality p.j=w1p1j+w2p2j+..: result on file '%s' \n",fileresprobmorprev);	printf("Computing total mortality p.j=w1p1j+w2p2j+..: result on file '%s' \n",fileresprobmorprev);
fprintf(ficlog,"Computing total mortality p.j=w1p1j+w2p2j+..: result on file '%s' \n",fileresprobmorprev);	fprintf(ficlog,"Computing total mortality p.j=w1p1j+w2p2j+..: result on file '%s' \n",fileresprobmorprev);
fprintf(ficresprobmorprev,"# probabilities of dying during a year and weighted mean w1p1j+w2p2j+... stand dev in()\n");	fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1p1j+w2p2j+... stand dev in()\n",estepm);
fprintf(ficresprobmorprev,"# Age cov=%-d",ij);	fprintf(ficresprobmorprev,"# Age cov=%-d",ij);
for(j=nlstate+1; j<=(nlstate+ndeath);j++){	for(j=nlstate+1; j<=(nlstate+ndeath);j++){
fprintf(ficresprobmorprev," p.%-d SE",j);	fprintf(ficresprobmorprev," p.%-d SE",j);
Line 2042 void varevsij(char optionfilefiname[], d	Line 2462 void varevsij(char optionfilefiname[], d
fprintf(ficresprobmorprev," w%1d p%-d%-d",i,i,j);	fprintf(ficresprobmorprev," w%1d p%-d%-d",i,i,j);
}	}
fprintf(ficresprobmorprev,"\n");	fprintf(ficresprobmorprev,"\n");
if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) {	fprintf(ficgp,"\n# Routine varevsij");
printf("Problem with gnuplot file: %s\n", optionfilegnuplot);	fprintf(fichtm,"\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(ficlog,"Problem with gnuplot file: %s\n", optionfilegnuplot);	fprintf(fichtm,"\n<br>%s <br>\n",digitp);
exit(0);	/* } */
}
else{
fprintf(ficgp,"\n# Routine varevsij");
}
if((fichtm=fopen(optionfilehtm,"a"))==NULL) {
printf("Problem with html file: %s\n", optionfilehtm);
fprintf(ficlog,"Problem with html file: %s\n", optionfilehtm);
exit(0);
}
else{
fprintf(fichtm,"\n<li><h4> Computing probabilities of dying as a weighted average (i.e global mortality independent of initial healh state)</h4></li>\n");
fprintf(fichtm,"\n<br>%s (� revoir) <br>\n",digitp);
}
varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);	varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);

fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n# (weighted average of eij where weights are the stable prevalence in health states i\n");	fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n# (weighted average of eij where weights are the stable prevalence in health states i\n");
Line 2091 void varevsij(char optionfilefiname[], d	Line 2498 void varevsij(char optionfilefiname[], d
and note for a fixed period like k years */	and note for a fixed period like k years */
/* We decided (b) to get a life expectancy respecting the most precise curvature of the	/* We decided (b) to get a life expectancy respecting the most precise curvature of the
survival function given by stepm (the optimization length). Unfortunately it	survival function given by stepm (the optimization length). Unfortunately it
means that if the survival funtion is printed only each two years of age and if	means that if the survival funtion is printed every two years of age and if
you sum them up and add 1 year (area under the trapezoids) you won't get the same	you sum them up and add 1 year (area under the trapezoids) you won't get the same
results. So we changed our mind and took the option of the best precision.	results. So we changed our mind and took the option of the best precision.
*/	*/
Line 2107 void varevsij(char optionfilefiname[], d	Line 2514 void varevsij(char optionfilefiname[], d


for(theta=1; theta <=npar; theta++){	for(theta=1; theta <=npar; theta++){
for(i=1; i<=npar; i++){ /* Computes gradient */	for(i=1; i<=npar; i++){ /* Computes gradient x + delta*/
xp[i] = x[i] + (i==theta ?delti[theta]:0);	xp[i] = x[i] + (i==theta ?delti[theta]:0);
}	}
hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);	hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
Line 2129 void varevsij(char optionfilefiname[], d	Line 2536 void varevsij(char optionfilefiname[], d
gp[h][j] += prlim[i][i]*p3mat[i][j][h];	gp[h][j] += prlim[i][i]*p3mat[i][j][h];
}	}
}	}
/* This for computing forces of mortality (h=1)as a weighted average */	/* This for computing probability of death (h=1 means
for(j=nlstate+1,gpp[j]=0.;j<=nlstate+ndeath;j++){	computed over hstepm matrices product = hstepm*stepm months)
for(i=1; i<= nlstate; i++)	as a weighted average of prlim.
	*/
	for(j=nlstate+1;j<=nlstate+ndeath;j++){
	for(i=1,gpp[j]=0.; i<= nlstate; i++)
gpp[j] += prlim[i][i]*p3mat[i][j][1];	gpp[j] += prlim[i][i]*p3mat[i][j][1];
}	}
/* end force of mortality */	/* end probability of death */

for(i=1; i<=npar; i++) /* Computes gradient */	for(i=1; i<=npar; i++) /* Computes gradient x - delta */
xp[i] = x[i] - (i==theta ?delti[theta]:0);	xp[i] = x[i] - (i==theta ?delti[theta]:0);
hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);	hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);	prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);
Line 2157 void varevsij(char optionfilefiname[], d	Line 2567 void varevsij(char optionfilefiname[], d
gm[h][j] += prlim[i][i]*p3mat[i][j][h];	gm[h][j] += prlim[i][i]*p3mat[i][j][h];
}	}
}	}
/* This for computing force of mortality (h=1)as a weighted average */	/* This for computing probability of death (h=1 means
for(j=nlstate+1,gmp[j]=0.;j<=nlstate+ndeath;j++){	computed over hstepm matrices product = hstepm*stepm months)
for(i=1; i<= nlstate; i++)	as a weighted average of prlim.
gmp[j] += prlim[i][i]*p3mat[i][j][1];	*/
	for(j=nlstate+1;j<=nlstate+ndeath;j++){
	for(i=1,gmp[j]=0.; i<= nlstate; i++)
	gmp[j] += prlim[i][i]*p3mat[i][j][1];
}	}
/* end force of mortality */	/* end probability of death */

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

for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu */	for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu */
gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta];	gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta];
}	}
Line 2184 void varevsij(char optionfilefiname[], d	Line 2598 void varevsij(char optionfilefiname[], d
for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */	for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */
for(theta=1; theta <=npar; theta++)	for(theta=1; theta <=npar; theta++)
trgradgp[j][theta]=gradgp[theta][j];	trgradgp[j][theta]=gradgp[theta][j];


hf=hstepmstepm/YEARM; / Duration of hstepm expressed in year unit. */	hf=hstepmstepm/YEARM; / Duration of hstepm expressed in year unit. */
for(i=1;i<=nlstate;i++)	for(i=1;i<=nlstate;i++)
Line 2199 void varevsij(char optionfilefiname[], d	Line 2614 void varevsij(char optionfilefiname[], d
vareij[i][j][(int)age] += doldm[i][j]hfhf;	vareij[i][j][(int)age] += doldm[i][j]hfhf;
}	}
}	}

/* pptj */	/* pptj */
matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov);	matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov);
matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp);	matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp);
Line 2207 void varevsij(char optionfilefiname[], d	Line 2622 void varevsij(char optionfilefiname[], d
for(i=nlstate+1;i<=nlstate+ndeath;i++)	for(i=nlstate+1;i<=nlstate+ndeath;i++)
varppt[j][i]=doldmp[j][i];	varppt[j][i]=doldmp[j][i];
/* end ppptj */	/* end ppptj */
	/* x centered again */
hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);	hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);
prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ij);	prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ij);

Line 2219 void varevsij(char optionfilefiname[], d	Line 2635 void varevsij(char optionfilefiname[], d
prlim[i][i]=mobaverage[(int)age][i][ij];	prlim[i][i]=mobaverage[(int)age][i][ij];
}	}
}	}

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

fprintf(ficresprobmorprev,"%3d %d ",(int) age, ij);	fprintf(ficresprobmorprev,"%3d %d ",(int) age, ij);
for(j=nlstate+1; j<=(nlstate+ndeath);j++){	for(j=nlstate+1; j<=(nlstate+ndeath);j++){
Line 2255 void varevsij(char optionfilefiname[], d	Line 2674 void varevsij(char optionfilefiname[], d
fprintf(ficgp,"\nset noparametric;set nolabel; set ter png small;set size 0.65, 0.65");	fprintf(ficgp,"\nset noparametric;set nolabel; set ter png small;set size 0.65, 0.65");
/* for(j=nlstate+1; j<= nlstate+ndeath; j++){ // Only the first actually */	/* for(j=nlstate+1; j<= nlstate+ndeath; j++){ // Only the first actually */
fprintf(ficgp,"\n set log y; set nolog x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");	fprintf(ficgp,"\n set log y; set nolog x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");
fprintf(ficgp,"\n plot \"%s\" u 1:($3*%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm);	/* fprintf(ficgp,"\n plot \"%s\" u 1:($3%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); /
fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96$4)%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm);	/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96$4)%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */
fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96$4)%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm);	/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96$4)%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */
fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",fileresprobmorprev,fileresprobmorprev);	fprintf(ficgp,"\n plot \"%s\" u 1:($3) not w l 1 ",subdirf(fileresprobmorprev));
fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,digitp,digit);	fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95\%% interval\" w l 2 ",subdirf(fileresprobmorprev));
	fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l 2 ",subdirf(fileresprobmorprev));
	fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));
	fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.png\"> <br>\n", estepm,subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);
/* fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,YEARM,digitp,digit);	/* fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,YEARM,digitp,digit);
*/	*/
fprintf(ficgp,"\nset out \"varmuptjgr%s%s.png\";replot;",digitp,digit);	/* fprintf(ficgp,"\nset out \"varmuptjgr%s%s%s.png\";replot;",digitp,optionfilefiname,digit); */
	fprintf(ficgp,"\nset out \"%s%s.png\";replot;\n",subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);

free_vector(xp,1,npar);	free_vector(xp,1,npar);
free_matrix(doldm,1,nlstate,1,nlstate);	free_matrix(doldm,1,nlstate,1,nlstate);
Line 2272 void varevsij(char optionfilefiname[], d	Line 2695 void varevsij(char optionfilefiname[], d
free_matrix(varppt,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);	free_matrix(varppt,nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
fclose(ficresprobmorprev);	fclose(ficresprobmorprev);
fclose(ficgp);	fflush(ficgp);
fclose(fichtm);	fflush(fichtm);
}	} /* end varevsij */

/********** Variance of prevlim ****************/	/********** Variance of prevlim ****************/
void varprevlim(char fileres[], double varpl, double matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double oldm, double savm, double **prlim, double ftolpl, int ij)	void varprevlim(char fileres[], double varpl, double matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double oldm, double savm, double **prlim, double ftolpl, int ij)
Line 2420 void varprob(char optionfilefiname[], do	Line 2843 void varprob(char optionfilefiname[], do
fprintf(ficresprobcov," p%1d-%1d ",i,j);	fprintf(ficresprobcov," p%1d-%1d ",i,j);
fprintf(ficresprobcor," p%1d-%1d ",i,j);	fprintf(ficresprobcor," p%1d-%1d ",i,j);
}	}
fprintf(ficresprob,"\n");	/* fprintf(ficresprob,"\n");
fprintf(ficresprobcov,"\n");	fprintf(ficresprobcov,"\n");
fprintf(ficresprobcor,"\n");	fprintf(ficresprobcor,"\n");
xp=vector(1,npar);	*/
	xp=vector(1,npar);
dnewm=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);	dnewm=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
doldm=matrix(1,(nlstate)(nlstate+ndeath),1,(nlstate)(nlstate+ndeath));	doldm=matrix(1,(nlstate)(nlstate+ndeath),1,(nlstate)(nlstate+ndeath));
mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage);	mu=matrix(1,(nlstate)*(nlstate+ndeath), (int) bage, (int)fage);
varpij=ma3x(1,nlstate(nlstate+ndeath),1,nlstate(nlstate+ndeath),(int) bage, (int) fage);	varpij=ma3x(1,nlstate(nlstate+ndeath),1,nlstate(nlstate+ndeath),(int) bage, (int) fage);
first=1;	first=1;
if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) {	fprintf(ficgp,"\n# Routine varprob");
printf("Problem with gnuplot file: %s\n", optionfilegnuplot);	fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");
fprintf(ficlog,"Problem with gnuplot file: %s\n", optionfilegnuplot);	fprintf(fichtm,"\n");
exit(0);
}	fprintf(fichtm,"\n<li><h4> <a href=\"%s\">Matrix of variance-covariance of pairs of step probabilities (drawings)</a></h4></li>\n",optionfilehtmcov);
else{	fprintf(fichtmcov,"\n<h4>Matrix of variance-covariance of pairs of step probabilities</h4>\n\
fprintf(ficgp,"\n# Routine varprob");	file %s<br>\n",optionfilehtmcov);
}	fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimated\
if((fichtm=fopen(optionfilehtm,"a"))==NULL) {	and drawn. It helps understanding how is the covariance between two incidences.\
printf("Problem with html file: %s\n", optionfilehtm);	They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>\n");
fprintf(ficlog,"Problem with html file: %s\n", optionfilehtm);	fprintf(fichtmcov,"\n<br> Contour plot corresponding to x'cov<sup>-1</sup>x = 4 (where x is the column vector (pij,pkl)) are drawn. \
exit(0);	It can be understood this way: if pij and pkl where uncorrelated the (2x2) matrix of covariance \
}	would have been (1/(var pij), 0 , 0, 1/(var pkl)), and the confidence interval would be 2 \
else{	standard deviations wide on each axis. <br>\
fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");	Now, if both incidences are correlated (usual case) we diagonalised the inverse of the covariance matrix\
fprintf(fichtm,"\n");	and made the appropriate rotation to look at the uncorrelated principal directions.<br>\
	To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.<br> \n");
fprintf(fichtm,"\n<li><h4> Computing matrix of variance-covariance of step probabilities</h4></li>\n");
fprintf(fichtm,"\nWe have drawn ellipsoids of confidence around the p<inf>ij</inf>, p<inf>kl</inf> to understand the covariance between two incidences. They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>\n");
fprintf(fichtm,"\n<br> We have drawn x'cov<sup>-1</sup>x = 4 where x is the column vector (pij,pkl). It means that if pij and pkl where uncorrelated the (2X2) matrix would have been (1/(var pij), 0 , 0, 1/(var pkl)), and the confidence interval would be 2 standard deviations wide on each axis. <br> When both incidences are correlated we diagonalised the inverse of the covariance matrix and made the appropriate rotation.<br> \n");

}

cov[1]=1;	cov[1]=1;
tj=cptcoveff;	tj=cptcoveff;
Line 2462 void varprob(char optionfilefiname[], do	Line 2881 void varprob(char optionfilefiname[], do
if (cptcovn>0) {	if (cptcovn>0) {
fprintf(ficresprob, "\n#********** Variable ");	fprintf(ficresprob, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
fprintf(ficresprob, "**********\n#");	fprintf(ficresprob, "**********\n#\n");
fprintf(ficresprobcov, "\n#********** Variable ");	fprintf(ficresprobcov, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
fprintf(ficresprobcov, "**********\n#");	fprintf(ficresprobcov, "**********\n#\n");

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


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

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

for (age=bage; age<=fage; age ++){	for (age=bage; age<=fage; age ++){
Line 2497 void varprob(char optionfilefiname[], do	Line 2916 void varprob(char optionfilefiname[], do

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

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

Line 2510 void varprob(char optionfilefiname[], do	Line 2929 void varprob(char optionfilefiname[], do
}	}

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

pmij(pmmij,cov,ncovmodel,xp,nlstate);	pmij(pmmij,cov,ncovmodel,xp,nlstate);
k=0;	k=0;
Line 2522 void varprob(char optionfilefiname[], do	Line 2941 void varprob(char optionfilefiname[], do
}	}

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

for(j=1; j<=(nlstate)*(nlstate+ndeath);j++)	for(j=1; j<=(nlstate)*(nlstate+ndeath);j++)
Line 2632 void varprob(char optionfilefiname[], do	Line 3051 void varprob(char optionfilefiname[], do
fprintf(ficgp,"\nset parametric;unset label");	fprintf(ficgp,"\nset parametric;unset label");
fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2);	fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2);
fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65");	fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65");
fprintf(fichtm,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup> :<a href=\"varpijgr%s%d%1d%1d-%1d%1d.png\">varpijgr%s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,optionfilefiname, j1,k1,l1,k2,l2,optionfilefiname, j1,k1,l1,k2,l2);	fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\
fprintf(fichtm,"\n<br><img src=\"varpijgr%s%d%1d%1d-%1d%1d.png\"> ",optionfilefiname, j1,k1,l1,k2,l2);	:<a href=\"%s%d%1d%1d-%1d%1d.png\">\
fprintf(fichtm,"\n<br> Correlation at age %d (%.3f),",(int) age, c12);	%s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,\
fprintf(ficgp,"\nset out \"varpijgr%s%d%1d%1d-%1d%1d.png\"",optionfilefiname, j1,k1,l1,k2,l2);	subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2,\
	subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);
	fprintf(fichtmcov,"\n<br><img src=\"%s%d%1d%1d-%1d%1d.png\"> ",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);
	fprintf(fichtmcov,"\n<br> Correlation at age %d (%.3f),",(int) age, c12);
	fprintf(ficgp,"\nset out \"%s%d%1d%1d-%1d%1d.png\"",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);
fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);	fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);
fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);	fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);
fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f(%11.3e%11.3ecos(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 2643 void varprob(char optionfilefiname[], do	Line 3066 void varprob(char optionfilefiname[], do
mu2,std,v21,sqrt(lc1),v22,sqrt(lc2));	mu2,std,v21,sqrt(lc1),v22,sqrt(lc2));
}else{	}else{
first=0;	first=0;
fprintf(fichtm," %d (%.3f),",(int) age, c12);	fprintf(fichtmcov," %d (%.3f),",(int) age, c12);
fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);	fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);
fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);	fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);
fprintf(ficgp,"\nreplot %11.3e+ %.3f(%11.3e%11.3ecos(t)+%11.3e%11.3esin(t)), %11.3e +%.3f(%11.3e%11.3ecos(t)+%11.3e%11.3esin(t)) not",\	fprintf(ficgp,"\nreplot %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 2652 void varprob(char optionfilefiname[], do	Line 3075 void varprob(char optionfilefiname[], do
}/* if first */	}/* if first */
} /* age mod 5 */	} /* age mod 5 */
} /* end loop age */	} /* end loop age */
fprintf(ficgp,"\nset out \"varpijgr%s%d%1d%1d-%1d%1d.png\";replot;",optionfilefiname, j1,k1,l1,k2,l2);	fprintf(ficgp,"\nset out \"%s%d%1d%1d-%1d%1d.png\";replot;",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);
first=1;	first=1;
} /l12 /	} /l12 /
} /* k12 */	} /* k12 */
Line 2666 void varprob(char optionfilefiname[], do	Line 3089 void varprob(char optionfilefiname[], do
fclose(ficresprob);	fclose(ficresprob);
fclose(ficresprobcov);	fclose(ficresprobcov);
fclose(ficresprobcor);	fclose(ficresprobcor);
fclose(ficgp);	fflush(ficgp);
fclose(fichtm);	fflush(fichtmcov);
}	}


Line 2679 void printinghtml(char fileres[], char t	Line 3102 void printinghtml(char fileres[], char t
double jprev1, double mprev1,double anprev1, \	double jprev1, double mprev1,double anprev1, \
double jprev2, double mprev2,double anprev2){	double jprev2, double mprev2,double anprev2){
int jj1, k1, i1, cpt;	int jj1, k1, i1, cpt;
/char optionfilehtm[FILENAMELENGTH];/
if((fichtm=fopen(optionfilehtm,"a"))==NULL) {
printf("Problem with %s \n",optionfilehtm), exit(0);
fprintf(ficlog,"Problem with %s \n",optionfilehtm), exit(0);
}

fprintf(fichtm,"<ul><li><h4>Result files (first order: no variance)</h4>\n	fprintf(fichtm,"<ul><li><h4>Result files (first order: no variance)</h4>\n \
- Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"p%s\">p%s</a> <br>\n	- Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> <br>\n ",
- Estimated transition probabilities over %d (stepm) months: <a href=\"pij%s\">pij%s</a><br>\n	jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileres,"p"),subdirf2(fileres,"p"));
- Stable prevalence in each health state: <a href=\"pl%s\">pl%s</a> <br>\n	fprintf(fichtm,"\
- Life expectancies by age and initial health status (estepm=%2d months):	- Estimated transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ",
<a href=\"e%s\">e%s</a> <br>\n</li>", \	stepm,subdirf2(fileres,"pij"),subdirf2(fileres,"pij"));
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,fileres,fileres,stepm,fileres,fileres,fileres,fileres,estepm,fileres,fileres);	fprintf(fichtm,"\
	- Stable prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",
	subdirf2(fileres,"pl"),subdirf2(fileres,"pl"));
	fprintf(fichtm,"\
	- Life expectancies by age and initial health status (estepm=%2d months): \
	<a href=\"%s\">%s</a> <br>\n</li>",
	estepm,subdirf2(fileres,"e"),subdirf2(fileres,"e"));

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

Line 2709 fprintf(fichtm," \n<ul><li><b>Graphs</b>	Line 3133 fprintf(fichtm," \n<ul><li><b>Graphs</b>
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");	fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
}	}
/* Pij */	/* Pij */
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before: pe%s%d1.png<br>	fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: %s%d1.png<br> \
<img src=\"pe%s%d1.png\">",stepm,strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1);	<img src=\"%s%d1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);
/* Quasi-incidences */	/* Quasi-incidences */
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: pe%s%d2.png<br>	fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\
<img src=\"pe%s%d2.png\">",stepm,strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1);	before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: %s%d2.png<br> \
	<img src=\"%s%d2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);
/* Stable prevalence in each health state */	/* Stable prevalence in each health state */
for(cpt=1; cpt<nlstate;cpt++){	for(cpt=1; cpt<nlstate;cpt++){
fprintf(fichtm,"<br>- Stable prevalence in each health state : p%s%d%d.png<br>	fprintf(fichtm,"<br>- Stable prevalence in each health state : p%s%d%d.png<br> \
<img src=\"p%s%d%d.png\">",strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1);	<img src=\"%s%d%d.png\">",subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1);
}	}
for(cpt=1; cpt<=nlstate;cpt++) {	for(cpt=1; cpt<=nlstate;cpt++) {
fprintf(fichtm,"\n<br>- Health life expectancies by age and initial health state (%d): exp%s%d%d.png <br>	fprintf(fichtm,"\n<br>- Health life expectancies by age and initial health state (%d): %s%d%d.png <br> \
<img src=\"exp%s%d%d.png\">",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1);	<img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);
}	}
fprintf(fichtm,"\n<br>- Total life expectancy by age and
health expectancies in states (1) and (2): e%s%d.png<br>
<img src=\"e%s%d.png\">",strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1);
} /* end i1 */	} /* end i1 */
}/* End k1 */	}/* End k1 */
fprintf(fichtm,"</ul>");	fprintf(fichtm,"</ul>");


fprintf(fichtm,"\n<br><li><h4> Result files (second order: variances)</h4>\n	fprintf(fichtm,"\
- Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br>\n	\n<br><li><h4> Result files (second order: variances)</h4>\n\
- Variance of one-step probabilities: <a href=\"prob%s\">prob%s</a> <br>\n	- Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br>\n", rfileres,rfileres);
- Variance-covariance of one-step probabilities: <a href=\"probcov%s\">probcov%s</a> <br>\n
- Correlation matrix of one-step probabilities: <a href=\"probcor%s\">probcor%s</a> <br>\n	fprintf(fichtm," - Variance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
- Variances and covariances of life expectancies by age and initial health status (estepm=%d months): <a href=\"v%s\">v%s</a><br>\n	subdirf2(fileres,"prob"),subdirf2(fileres,"prob"));
- Health expectancies with their variances (no covariance): <a href=\"t%s\">t%s</a> <br>\n	fprintf(fichtm,"\
- Standard deviation of stable prevalences: <a href=\"vpl%s\">vpl%s</a> <br>\n",rfileres,rfileres,fileres,fileres,fileres,fileres,fileres,fileres, estepm, fileres,fileres,fileres,fileres,fileres,fileres);	- Variance-covariance of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
	subdirf2(fileres,"probcov"),subdirf2(fileres,"probcov"));
if(popforecast==1) fprintf(fichtm,"\n
- Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n	fprintf(fichtm,"\
- Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n	- Correlation matrix of one-step probabilities: <a href=\"%s\">%s</a> <br>\n",
<br>",fileres,fileres,fileres,fileres);	subdirf2(fileres,"probcor"),subdirf2(fileres,"probcor"));
else	fprintf(fichtm,"\
fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model);	- Variances and covariances of life expectancies by age and initial health status (estepm=%d months): <a href=\"%s\">%s</a><br>\n",
fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");	estepm, subdirf2(fileres,"v"),subdirf2(fileres,"v"));
	fprintf(fichtm,"\
	- Health expectancies with their variances (no covariance): <a href=\"%s\">%s</a> <br>\n",
	subdirf2(fileres,"t"),subdirf2(fileres,"t"));
	fprintf(fichtm,"\
	- Standard deviation of stable prevalences: <a href=\"%s\">%s</a> <br>\n",\
	subdirf2(fileres,"vpl"),subdirf2(fileres,"vpl"));

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

m=cptcoveff;	m=cptcoveff;
if (cptcovn < 1) {m=1;ncodemax[1]=1;}	if (cptcovn < 1) {m=1;ncodemax[1]=1;}
Line 2762 fprintf(fichtm," <ul><li><b>Graphs</b></	Line 3199 fprintf(fichtm," <ul><li><b>Graphs</b></
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");	fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
}	}
for(cpt=1; cpt<=nlstate;cpt++) {	for(cpt=1; cpt<=nlstate;cpt++) {
fprintf(fichtm,"<br>- Observed and stationary prevalence (with confident	fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \
interval) in state (%d): v%s%d%d.png <br>	prevalence (with 95%% confidence interval) in state (%d): %s%d%d.png <br>\
<img src=\"v%s%d%d.png\">",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1);	<img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"v"),cpt,jj1,subdirf2(optionfilefiname,"v"),cpt,jj1);
}	}
	fprintf(fichtm,"\n<br>- Total life expectancy by age and \
	health expectancies in states (1) and (2): %s%d.png<br>\
	<img src=\"%s%d.png\">",subdirf2(optionfilefiname,"e"),jj1,subdirf2(optionfilefiname,"e"),jj1);
} /* end i1 */	} /* end i1 */
}/* End k1 */	}/* End k1 */
fprintf(fichtm,"</ul>");	fprintf(fichtm,"</ul>");
fclose(fichtm);	fflush(fichtm);
}	}

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

	char dirfileres[132],optfileres[132];
int m,cpt,k1,i,k,j,jk,k2,k3,ij,l;	int m,cpt,k1,i,k,j,jk,k2,k3,ij,l;
int ng;	int ng;
if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) {	/* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */
printf("Problem with file %s",optionfilegnuplot);	/* printf("Problem with file %s",optionfilegnuplot); */
fprintf(ficlog,"Problem with file %s",optionfilegnuplot);	/* fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */
}	/* } */

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

	strcpy(dirfileres,optionfilefiname);
	strcpy(optfileres,"vpl");
/* 1eme*/	/* 1eme*/
for (cpt=1; cpt<= nlstate ; cpt ++) {	for (cpt=1; cpt<= nlstate ; cpt ++) {
for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) {
fprintf(ficgp,"\nset out \"v%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);	fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"v"),cpt,k1);
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"vpl%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,fileres,k1-1,k1-1);	fprintf(ficgp,"\n#set out \"v%s%d%d.png\" \n",optionfilefiname,cpt,k1);
	fprintf(ficgp,"set xlabel \"Age\" \n\
	set ylabel \"Probability\" \n\
	set ter png small\n\
	set size 0.65,0.65\n\
	plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,subdirf2(fileres,"vpl"),k1-1,k1-1);

for (i=1; i<= nlstate ; i ++) {	for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");	if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," \%%lf (\%%lf)");
}	}
fprintf(ficgp,"\" t\"Stable prevalence\" w l 0,\"vpl%s\" every :::%d::%d u 1:($2+2*$3) \"\%%lf",fileres,k1-1,k1-1);	fprintf(ficgp,"\" t\"Stable prevalence\" w l 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);
for (i=1; i<= nlstate ; i ++) {	for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");	if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," \%%lf (\%%lf)");
}	}
fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"vpl%s\" every :::%d::%d u 1:($2-2*$3) \"\%%lf",fileres,k1-1,k1-1);	fprintf(ficgp,"\" t\"95\%% CI\" w l 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);
for (i=1; i<= nlstate ; i ++) {	for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");	if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," \%%lf (\%%lf)");
}	}
fprintf(ficgp,"\" t\"\" w l 1,\"p%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",fileres,k1-1,k1-1,2+4*(cpt-1));	fprintf(ficgp,"\" t\"\" w l 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1));
}	}
}	}
/2 eme/	/2 eme/

for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) {
fprintf(ficgp,"\nset out \"e%s%d.png\" \n",strtok(optionfile, "."),k1);	fprintf(ficgp,"\nset out \"%s%d.png\" \n",subdirf2(optionfilefiname,"e"),k1);
fprintf(ficgp,"set ylabel \"Years\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] ",ageminpar,fage);	fprintf(ficgp,"set ylabel \"Years\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] ",ageminpar,fage);

for (i=1; i<= nlstate+1 ; i ++) {	for (i=1; i<= nlstate+1 ; i ++) {
k=2*i;	k=2*i;
fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:2 \"\%%lf",fileres,k1-1,k1-1);	fprintf(ficgp,"\"%s\" every :::%d::%d u 1:2 \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
for (j=1; j<= nlstate+1 ; j ++) {	for (j=1; j<= nlstate+1 ; j ++) {
if (j==i) fprintf(ficgp," \%%lf (\%%lf)");	if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," \%%lf (\%%lf)");
}	}
if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,");	if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,");
else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1);	else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1);
fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2-$3*2) \"\%%lf",fileres,k1-1,k1-1);	fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2-$3*2) \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
for (j=1; j<= nlstate+1 ; j ++) {	for (j=1; j<= nlstate+1 ; j ++) {
if (j==i) fprintf(ficgp," \%%lf (\%%lf)");	if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," \%%lf (\%%lf)");
}	}
fprintf(ficgp,"\" t\"\" w l 0,");	fprintf(ficgp,"\" t\"\" w l 0,");
fprintf(ficgp,"\"t%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",fileres,k1-1,k1-1);	fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
for (j=1; j<= nlstate+1 ; j ++) {	for (j=1; j<= nlstate+1 ; j ++) {
if (j==i) fprintf(ficgp," \%%lf (\%%lf)");	if (j==i) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," \%%lf (\%%lf)");
Line 2846 m=pow(2,cptcoveff);	Line 3294 m=pow(2,cptcoveff);
for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) {
for (cpt=1; cpt<= nlstate ; cpt ++) {	for (cpt=1; cpt<= nlstate ; cpt ++) {
k=2+nlstate(2cpt-2);	k=2+nlstate(2cpt-2);
fprintf(ficgp,"\nset out \"exp%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);	fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1);
fprintf(ficgp,"set ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"e%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,fileres,k1-1,k1-1,k,cpt);	fprintf(ficgp,"set ter png small\n\
	set size 0.65,0.65\n\
	plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileres,"e"),k1-1,k1-1,k,cpt);
/fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);	/fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");	for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
fprintf(ficgp,"\" t \"e%d1\" w l",cpt);	fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
Line 2857 m=pow(2,cptcoveff);	Line 3307 m=pow(2,cptcoveff);

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

}	}
}	}
}	}

/* CV preval stat */	/* CV preval stable (period) */
for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) {
for (cpt=1; cpt<nlstate ; cpt ++) {	for (cpt=1; cpt<=nlstate ; cpt ++) {
k=3;	k=3;
fprintf(ficgp,"\nset out \"p%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1);	fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"p"),cpt,k1);
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",ageminpar,agemaxpar,fileres,k1,k+cpt+1,k+1);	fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\
	set ter png small\nset size 0.65,0.65\n\
	unset log y\n\
	plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1/0):($%d/($%d",ageminpar,agemaxpar,subdirf2(fileres,"pij"),k1,k+cpt+1,k+1);

for (i=1; i< nlstate ; i ++)	for (i=1; i< nlstate ; i ++)
fprintf(ficgp,"+$%d",k+i+1);	fprintf(ficgp,"+$%d",k+i+1);
fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);	fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);

l=3+(nlstate+ndeath)*cpt;	l=3+(nlstate+ndeath)*cpt;
fprintf(ficgp,",\"pij%s\" u ($1==%d ? ($3):1/0):($%d/($%d",fileres,k1,l+cpt+1,l+1);	fprintf(ficgp,",\"%s\" u ($1==%d ? ($3):1/0):($%d/($%d",subdirf2(fileres,"pij"),k1,l+cpt+1,l+1);
for (i=1; i< nlstate ; i ++) {	for (i=1; i< nlstate ; i ++) {
l=3+(nlstate+ndeath)*cpt;	l=3+(nlstate+ndeath)*cpt;
fprintf(ficgp,"+$%d",l+i+1);	fprintf(ficgp,"+$%d",l+i+1);
Line 2899 m=pow(2,cptcoveff);	Line 3352 m=pow(2,cptcoveff);

for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/	for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/
for(jk=1; jk <=m; jk++) {	for(jk=1; jk <=m; jk++) {
fprintf(ficgp,"\nset out \"pe%s%d%d.png\" \n",strtok(optionfile, "."),jk,ng);	fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"pe"),jk,ng);
if (ng==2)	if (ng==2)
fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");	fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");
else	else
Line 2946 m=pow(2,cptcoveff);	Line 3399 m=pow(2,cptcoveff);
} /* end k2 */	} /* end k2 */
} /* end jk */	} /* end jk */
} /* end ng */	} /* end ng */
fclose(ficgp);	fflush(ficgp);
} /* end gnuplot */	} /* end gnuplot */


Line 2993 int movingaverage(double ***probs, doubl	Line 3446 int movingaverage(double ***probs, doubl


/************ Forecasting ****************/	/************ Forecasting ****************/
prevforecast(char fileres[], double anproj1,double mproj1,double jproj1,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anproj2,double p[], int i2){	prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){
	/* proj1, year, month, day of starting projection
int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;	agemin, agemax range of age
	dateprev1 dateprev2 range of dates during which prevalence is computed
	anproj2 year of en of projection (same day and month as proj1).
	*/
	int yearp, stepsize, hstepm, nhstepm, j, k, c, cptcod, i, h, i1;
int *popage;	int *popage;
double calagedate, agelim, kk1, kk2, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;	double agec; /* generic age */
	double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;
double popeffectif,popcount;	double popeffectif,popcount;
double ***p3mat;	double ***p3mat;
double ***mobaverage;	double ***mobaverage;
char fileresf[FILENAMELENGTH];	char fileresf[FILENAMELENGTH];

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

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


strcpy(fileresf,"f");	strcpy(fileresf,"f");
strcat(fileresf,fileres);	strcat(fileresf,fileres);
Line 3030 prevforecast(char fileres[], double anpr	Line 3485 prevforecast(char fileres[], double anpr

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

hstepm=hstepm/stepm;	hstepm=hstepm/stepm;
yp1=modf(dateintmean,&yp);	yp1=modf(dateintmean,&yp);/* extracts integral of datemean in yp and
	fractional in yp1 */
anprojmean=yp;	anprojmean=yp;
yp2=modf((yp1*12),&yp);	yp2=modf((yp1*12),&yp);
mprojmean=yp;	mprojmean=yp;
Line 3043 prevforecast(char fileres[], double anpr	Line 3500 prevforecast(char fileres[], double anpr
jprojmean=yp;	jprojmean=yp;
if(jprojmean==0) jprojmean=1;	if(jprojmean==0) jprojmean=1;
if(mprojmean==0) jprojmean=1;	if(mprojmean==0) jprojmean=1;

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

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

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

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

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

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

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

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

fclose(ficresf);	fclose(ficresf);
}	}
/************ Forecasting ****************/
	/************ Forecasting *not tested NB***********/
populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){	populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){

int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;	int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;
int *popage;	int *popage;
double calagedate, agelim, kk1, kk2;	double calagedatem, agelim, kk1, kk2;
double popeffectif,popcount;	double popeffectif,popcount;
double *p3mat,tabpop,**tabpopprev;	double *p3mat,tabpop,**tabpopprev;
double ***mobaverage;	double ***mobaverage;
Line 3114 populforecast(char fileres[], double anp	Line 3583 populforecast(char fileres[], double anp
tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	tabpop= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
tabpopprev= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	tabpopprev= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
agelim=AGESUP;	agelim=AGESUP;
calagedate=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM;	calagedatem=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM;

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


strcpy(filerespop,"pop");	strcpy(filerespop,"pop");
Line 3162 populforecast(char fileres[], double anp	Line 3631 populforecast(char fileres[], double anp
for (i=1; i<imx;i++) popeffectif[popage[i]]=popcount[i];	for (i=1; i<imx;i++) popeffectif[popage[i]]=popcount[i];
}	}

for(cptcov=1;cptcov<=i2;cptcov++){	for(cptcov=1,k=0;cptcov<=i2;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){	for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){
k=k+1;	k=k+1;
fprintf(ficrespop,"\n#******");	fprintf(ficrespop,"\n#******");
Line 3177 populforecast(char fileres[], double anp	Line 3646 populforecast(char fileres[], double anp
for (cpt=0; cpt<=0;cpt++) {	for (cpt=0; cpt<=0;cpt++) {
fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt);	fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt);

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

Line 3186 populforecast(char fileres[], double anp	Line 3655 populforecast(char fileres[], double anp
hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);	hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);

for (h=0; h<=nhstepm; h++){	for (h=0; h<=nhstepm; h++){
if (h==(int) (calagedate+YEARM*cpt)) {	if (h==(int) (calagedatem+YEARM*cpt)) {
fprintf(ficrespop,"\n %3.f ",agedeb+hhstepm/YEARMstepm);	fprintf(ficrespop,"\n %3.f ",agedeb+hhstepm/YEARMstepm);
}	}
for(j=1; j<=nlstate+ndeath;j++) {	for(j=1; j<=nlstate+ndeath;j++) {
Line 3198 populforecast(char fileres[], double anp	Line 3667 populforecast(char fileres[], double anp
kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod];	kk1=kk1+p3mat[i][j][h]*probs[(int)(agedeb+1)][i][cptcod];
}	}
}	}
if (h==(int)(calagedate+12*cpt)){	if (h==(int)(calagedatem+12*cpt)){
tabpop[(int)(agedeb)][j][cptcod]=kk1;	tabpop[(int)(agedeb)][j][cptcod]=kk1;
/*fprintf(ficrespop," %.3f", kk1);	/*fprintf(ficrespop," %.3f", kk1);
if (popforecast==1) fprintf(ficrespop," [%.f]", kk1popeffectif[(int)agedeb+1]);/	if (popforecast==1) fprintf(ficrespop," [%.f]", kk1popeffectif[(int)agedeb+1]);/
Line 3209 populforecast(char fileres[], double anp	Line 3678 populforecast(char fileres[], double anp
for(j=1; j<=nlstate;j++){	for(j=1; j<=nlstate;j++){
kk1= kk1+tabpop[(int)(agedeb)][j][cptcod];	kk1= kk1+tabpop[(int)(agedeb)][j][cptcod];
}	}
tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1popeffectif[(int)(agedeb+(calagedate+12cpt)hstepm/YEARMstepm-1)];	tabpopprev[(int)(agedeb)][i][cptcod]=tabpop[(int)(agedeb)][i][cptcod]/kk1popeffectif[(int)(agedeb+(calagedatem+12cpt)hstepm/YEARMstepm-1)];
}	}

if (h==(int)(calagedate+12*cpt)) for(j=1; j<=nlstate;j++)	if (h==(int)(calagedatem+12*cpt)) for(j=1; j<=nlstate;j++)
fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]);	fprintf(ficrespop," %15.2f",tabpopprev[(int)(agedeb+1)][j][cptcod]);
}	}
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);	free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
Line 3223 populforecast(char fileres[], double anp	Line 3692 populforecast(char fileres[], double anp

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

Line 3231 populforecast(char fileres[], double anp	Line 3700 populforecast(char fileres[], double anp
oldm=oldms;savm=savms;	oldm=oldms;savm=savms;
hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);	hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);
for (h=0; h<=nhstepm; h++){	for (h=0; h<=nhstepm; h++){
if (h==(int) (calagedate+YEARM*cpt)) {	if (h==(int) (calagedatem+YEARM*cpt)) {
fprintf(ficresf,"\n %3.f ",agedeb+hhstepm/YEARMstepm);	fprintf(ficresf,"\n %3.f ",agedeb+hhstepm/YEARMstepm);
}	}
for(j=1; j<=nlstate+ndeath;j++) {	for(j=1; j<=nlstate+ndeath;j++) {
Line 3239 populforecast(char fileres[], double anp	Line 3708 populforecast(char fileres[], double anp
for(i=1; i<=nlstate;i++) {	for(i=1; i<=nlstate;i++) {
kk1=kk1+p3mat[i][j][h]*tabpopprev[(int)agedeb+1][i][cptcod];	kk1=kk1+p3mat[i][j][h]*tabpopprev[(int)agedeb+1][i][cptcod];
}	}
if (h==(int)(calagedate+12*cpt)) fprintf(ficresf," %15.2f", kk1);	if (h==(int)(calagedatem+12*cpt)) fprintf(ficresf," %15.2f", kk1);
}	}
}	}
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);	free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
Line 3258 populforecast(char fileres[], double anp	Line 3727 populforecast(char fileres[], double anp
free_ma3x(tabpop,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	free_ma3x(tabpop,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
free_ma3x(tabpopprev,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	free_ma3x(tabpopprev,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
fclose(ficrespop);	fclose(ficrespop);
	} /* End of popforecast */

	int fileappend(FILE fichier, char optionfich)
	{
	if((fichier=fopen(optionfich,"a"))==NULL) {
	printf("Problem with file: %s\n", optionfich);
	fprintf(ficlog,"Problem with file: %s\n", optionfich);
	return (0);
	}
	fflush(fichier);
	return (1);
}	}


	/************** function prwizard ********************/
	void prwizard(int ncovmodel, int nlstate, int ndeath, char model[], FILE *ficparo)
	{

	/* Wizard to print covariance matrix template */

	char ca[32], cb[32], cc[32];
	int i,j, k, l, li, lj, lk, ll, jj, npar, itimes;
	int numlinepar;

	printf("# Parameters nlstatenlstatencov a121 + b12 age + ...\n");
	fprintf(ficparo,"# Parameters nlstatenlstatencov a121 + b12 age + ...\n");
	for(i=1; i <=nlstate; i++){
	jj=0;
	for(j=1; j <=nlstate+ndeath; j++){
	if(j==i) continue;
	jj++;
	/ca[0]= k+'a'-1;ca[1]='\0';/
	printf("%1d%1d",i,j);
	fprintf(ficparo,"%1d%1d",i,j);
	for(k=1; k<=ncovmodel;k++){
	/* printf(" %lf",param[i][j][k]); */
	/* fprintf(ficparo," %lf",param[i][j][k]); */
	printf(" 0.");
	fprintf(ficparo," 0.");
	}
	printf("\n");
	fprintf(ficparo,"\n");
	}
	}
	printf("# Scales (for hessian or gradient estimation)\n");
	fprintf(ficparo,"# Scales (for hessian or gradient estimation)\n");
	npar= (nlstate+ndeath-1)nlstatencovmodel; /* Number of parameters*/
	for(i=1; i <=nlstate; i++){
	jj=0;
	for(j=1; j <=nlstate+ndeath; j++){
	if(j==i) continue;
	jj++;
	fprintf(ficparo,"%1d%1d",i,j);
	printf("%1d%1d",i,j);
	fflush(stdout);
	for(k=1; k<=ncovmodel;k++){
	/* printf(" %le",delti3[i][j][k]); */
	/* fprintf(ficparo," %le",delti3[i][j][k]); */
	printf(" 0.");
	fprintf(ficparo," 0.");
	}
	numlinepar++;
	printf("\n");
	fprintf(ficparo,"\n");
	}
	}
	printf("# Covariance matrix\n");
	/* # 121 Var(a12)\n\ */
	/* # 122 Cov(b12,a12) Var(b12)\n\ */
	/* # 131 Cov(a13,a12) Cov(a13,b12, Var(a13)\n\ */
	/* # 132 Cov(b13,a12) Cov(b13,b12, Cov(b13,a13) Var(b13)\n\ */
	/* # 212 Cov(a21,a12) Cov(a21,b12, Cov(a21,a13) Cov(a21,b13) Var(a21)\n\ */
	/* # 212 Cov(b21,a12) Cov(b21,b12, Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21)\n\ */
	/* # 232 Cov(a23,a12) Cov(a23,b12, Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23)\n\ */
	/* # 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n" */
	fflush(stdout);
	fprintf(ficparo,"# Covariance matrix\n");
	/* # 121 Var(a12)\n\ */
	/* # 122 Cov(b12,a12) Var(b12)\n\ */
	/* # ...\n\ */
	/* # 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n" */

	for(itimes=1;itimes<=2;itimes++){
	jj=0;
	for(i=1; i <=nlstate; i++){
	for(j=1; j <=nlstate+ndeath; j++){
	if(j==i) continue;
	for(k=1; k<=ncovmodel;k++){
	jj++;
	ca[0]= k+'a'-1;ca[1]='\0';
	if(itimes==1){
	printf("#%1d%1d%d",i,j,k);
	fprintf(ficparo,"#%1d%1d%d",i,j,k);
	}else{
	printf("%1d%1d%d",i,j,k);
	fprintf(ficparo,"%1d%1d%d",i,j,k);
	/* printf(" %.5le",matcov[i][j]); */
	}
	ll=0;
	for(li=1;li <=nlstate; li++){
	for(lj=1;lj <=nlstate+ndeath; lj++){
	if(lj==li) continue;
	for(lk=1;lk<=ncovmodel;lk++){
	ll++;
	if(ll<=jj){
	cb[0]= lk +'a'-1;cb[1]='\0';
	if(ll<jj){
	if(itimes==1){
	printf(" Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
	fprintf(ficparo," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
	}else{
	printf(" 0.");
	fprintf(ficparo," 0.");
	}
	}else{
	if(itimes==1){
	printf(" Var(%s%1d%1d)",ca,i,j);
	fprintf(ficparo," Var(%s%1d%1d)",ca,i,j);
	}else{
	printf(" 0.");
	fprintf(ficparo," 0.");
	}
	}
	}
	} /* end lk */
	} /* end lj */
	} /* end li */
	printf("\n");
	fprintf(ficparo,"\n");
	numlinepar++;
	} /* end k*/
	} /end j /
	} /* end i */
	} /* end itimes */

	} /* end of prwizard */


/***********************************************/	/***********************************************/
/************** Main Program ***************/	/************** Main Program ***************/
/***********************************************/	/***********************************************/
Line 3267 populforecast(char fileres[], double anp	Line 3872 populforecast(char fileres[], double anp
int main(int argc, char *argv[])	int main(int argc, char *argv[])
{	{
int movingaverage(double *probs, double bage,double fage, double *mobaverage, int mobilav);	int movingaverage(double *probs, double bage,double fage, double *mobaverage, int mobilav);
int i,j, k, n=MAXN,iter,m,size,cptcode, cptcod;	int i,j, k, n=MAXN,iter,m,size=100,cptcode, cptcod;
	int jj, ll, li, lj, lk, imk;
	int numlinepar=0; /* Current linenumber of parameter file */
	int itimes;

	char ca[32], cb[32], cc[32];
	/* FILE fichtm; //* Html File */
	/* FILE ficgp;/ /Gnuplot File /
double agedeb, agefin,hf;	double agedeb, agefin,hf;
double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20;	double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20;

Line 3279 int main(int argc, char *argv[])	Line 3891 int main(int argc, char *argv[])
double ***mobaverage;	double ***mobaverage;
int *indx;	int *indx;
char line[MAXLINE], linepar[MAXLINE];	char line[MAXLINE], linepar[MAXLINE];
char path[80],pathc[80],pathcd[80],pathtot[80],model[80];	char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE],model[MAXLINE];
	char pathr[MAXLINE];
int firstobs=1, lastobs=10;	int firstobs=1, lastobs=10;
int sdeb, sfin; /* Status at beginning and end */	int sdeb, sfin; /* Status at beginning and end */
int c, h , cpt,l;	int c, h , cpt,l;
int ju,jl, mi;	int ju,jl, mi;
int i1,j1, k1,k2,k3,jk,aa,bb, stepsize, ij;	int i1,j1, k1,k2,k3,jk,aa,bb, stepsize, ij;
int jnais,jdc,jint4,jint1,jint2,jint3,*outcome,tab;	int jnais,jdc,jint4,jint1,jint2,jint3,*outcome,tab;
	int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */
int mobilav=0,popforecast=0;	int mobilav=0,popforecast=0;
int hstepm, nhstepm;	int hstepm, nhstepm;
double jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,jpyram, mpyram,anpyram,jpyram1, mpyram1,anpyram1, calagedate;	double jprev1=1, mprev1=1,anprev1=2000,jprev2=1, mprev2=1,anprev2=2000;
	double jpyram=1, mpyram=1,anpyram=2000,jpyram1=1, mpyram1=1,anpyram1=2000;

double bage, fage, age, agelim, agebase;	double bage, fage, age, agelim, agebase;
double ftolpl=FTOL;	double ftolpl=FTOL;
Line 3303 int main(int argc, char *argv[])	Line 3918 int main(int argc, char *argv[])
double *varpl; / Variances of prevalence limits by age */	double *varpl; / Variances of prevalence limits by age */
double *epj, vepp;	double *epj, vepp;
double kk1, kk2;	double kk1, kk2;
double dateprev1, dateprev2,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2;	double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;

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


char z[1]="c", occ;	char z[1]="c", occ;
#include <sys/time.h>
#include <time.h>
char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];	char stra[80], strb[80], strc[80], strd[80],stre[80],modelsav[80];
	char strstart[80], *strt, strtend[80];
	char *stratrunc;
	int lstra;

	long total_usecs;

/* long total_usecs;	/* setlocale (LC_ALL, ""); */
struct timeval start_time, end_time;	/* bindtextdomain (PACKAGE, LOCALEDIR); */
	/* textdomain (PACKAGE); */
gettimeofday(&start_time, (struct timezone)0); / /* at first time */	/* setlocale (LC_CTYPE, ""); */
	/* setlocale (LC_MESSAGES, ""); */

	/* gettimeofday(&start_time, (struct timezone)0); / /* at first time */
	(void) gettimeofday(&start_time,&tzp);
	curr_time=start_time;
	tm = *localtime(&start_time.tv_sec);
	tmg = *gmtime(&start_time.tv_sec);
	strcpy(strstart,asctime(&tm));

	/* printf("Localtime (at start)=%s",strstart); */
	/* tp.tv_sec = tp.tv_sec +86400; */
	/* tm = localtime(&start_time.tv_sec); /
	/* tmg.tm_year=tmg.tm_year +dsigndyear; /
	/* tmg.tm_mon=tmg.tm_mon +dsigndmonth; /
	/* tmg.tm_hour=tmg.tm_hour + 1; */
	/* tp.tv_sec = mktime(&tmg); */
	/* strt=asctime(&tmg); */
	/* printf("Time(after) =%s",strstart); */
	/* (void) time (&time_value);
	* printf("time=%d,t-=%d\n",time_value,time_value-86400);
	* tm = *localtime(&time_value);
	* strstart=asctime(&tm);
	* printf("tim_value=%d,asctime=%s\n",time_value,strstart);
	*/

	nberr=0; /* Number of errors and warnings */
	nbwarn=0;
getcwd(pathcd, size);	getcwd(pathcd, size);

printf("\n%s",version);	printf("\n%s\n%s",version,fullversion);
if(argc <=1){	if(argc <=1){
printf("\nEnter the parameter file name: ");	printf("\nEnter the parameter file name: ");
scanf("%s",pathtot);	scanf("%s",pathtot);
Line 3327 int main(int argc, char *argv[])	Line 3973 int main(int argc, char *argv[])
else{	else{
strcpy(pathtot,argv[1]);	strcpy(pathtot,argv[1]);
}	}
/if(getcwd(pathcd, 80)!= NULL)printf ("Error pathcd\n");/	/if(getcwd(pathcd, MAXLINE)!= NULL)printf ("Error pathcd\n");/
/*cygwin_split_path(pathtot,path,optionfile);	/*cygwin_split_path(pathtot,path,optionfile);
printf("pathtot=%s, path=%s, optionfile=%s\n",pathtot,path,optionfile);*/	printf("pathtot=%s, path=%s, optionfile=%s\n",pathtot,path,optionfile);*/
/* cutv(path,optionfile,pathtot,'\\');*/	/* cutv(path,optionfile,pathtot,'\\');*/

split(pathtot,path,optionfile,optionfilext,optionfilefiname);	split(pathtot,path,optionfile,optionfilext,optionfilefiname);
printf("pathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);	printf("pathtot=%s,\npath=%s,\noptionfile=%s \noptionfilext=%s \noptionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);
chdir(path);	chdir(path);
replace(pathc,path);	strcpy(command,"mkdir ");
	strcat(command,optionfilefiname);
	if((outcmd=system(command)) != 0){
	printf("Problem creating directory or it already exists %s%s, err=%d\n",path,optionfilefiname,outcmd);
	/* fprintf(ficlog,"Problem creating directory %s%s\n",path,optionfilefiname); */
	/* fclose(ficlog); */
	/* exit(1); */
	}
	/* if((imk=mkdir(optionfilefiname))<0){ */
	/* perror("mkdir"); */
	/* } */

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

Line 3347 int main(int argc, char *argv[])	Line 4003 int main(int argc, char *argv[])
goto end;	goto end;
}	}
fprintf(ficlog,"Log filename:%s\n",filelog);	fprintf(ficlog,"Log filename:%s\n",filelog);
fprintf(ficlog,"\n%s",version);	fprintf(ficlog,"\n%s\n%s",version,fullversion);
fprintf(ficlog,"\nEnter the parameter file name: ");	fprintf(ficlog,"\nEnter the parameter file name: ");
fprintf(ficlog,"pathtot=%s, path=%s, optionfile=%s optionfilext=%s optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);	fprintf(ficlog,"pathtot=%s\n\
	path=%s \n\
	optionfile=%s\n\
	optionfilext=%s\n\
	optionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);

	printf("Local time (at start):%s",strstart);
	fprintf(ficlog,"Local time (at start): %s",strstart);
fflush(ficlog);	fflush(ficlog);
	/* (void) gettimeofday(&curr_time,&tzp); */
	/* printf("Elapsed time %d\n", asc_diff_time(curr_time.tv_sec-start_time.tv_sec,tmpout)); */

/* */	/* */
strcpy(fileres,"r");	strcpy(fileres,"r");
Line 3362 int main(int argc, char *argv[])	Line 4027 int main(int argc, char *argv[])
if((ficpar=fopen(optionfile,"r"))==NULL) {	if((ficpar=fopen(optionfile,"r"))==NULL) {
printf("Problem with optionfile %s\n",optionfile);	printf("Problem with optionfile %s\n",optionfile);
fprintf(ficlog,"Problem with optionfile %s\n",optionfile);	fprintf(ficlog,"Problem with optionfile %s\n",optionfile);
	fflush(ficlog);
goto end;	goto end;
}	}



strcpy(filereso,"o");	strcpy(filereso,"o");
strcat(filereso,fileres);	strcat(filereso,fileres);
if((ficparo=fopen(filereso,"w"))==NULL) {	if((ficparo=fopen(filereso,"w"))==NULL) { /* opened on subdirectory */
printf("Problem with Output resultfile: %s\n", filereso);	printf("Problem with Output resultfile: %s\n", filereso);
fprintf(ficlog,"Problem with Output resultfile: %s\n", filereso);	fprintf(ficlog,"Problem with Output resultfile: %s\n", filereso);
	fflush(ficlog);
goto end;	goto end;
}	}

/* Reads comments: lines beginning with '#' */	/* Reads comments: lines beginning with '#' */
	numlinepar=0;
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
	numlinepar++;
puts(line);	puts(line);
fputs(line,ficparo);	fputs(line,ficparo);
	fputs(line,ficlog);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);

fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);	fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);
	numlinepar++;
printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model);	printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model);
fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);	fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);
	fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);
	fflush(ficlog);
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
	numlinepar++;
puts(line);	puts(line);
fputs(line,ficparo);	fputs(line,ficparo);
	fputs(line,ficlog);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);


covar=matrix(0,NCOVMAX,1,n);	covar=matrix(0,NCOVMAX,1,n);
cptcovn=0; /Number of covariates, i.e. number of '+' in model statement/	cptcovn=0; /Number of covariates, i.e. number of '+' in model statement/
Line 3400 int main(int argc, char *argv[])	Line 4077 int main(int argc, char *argv[])

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

	if(mle==-1){ /* Print a wizard for help writing covariance matrix */
	prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
	printf(" You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
	fprintf(ficlog," You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
	fclose (ficparo);
	fclose (ficlog);
	exit(0);
	}
/* Read guess parameters */	/* Read guess parameters */
/* Reads comments: lines beginning with '#' */	/* Reads comments: lines beginning with '#' */
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
	numlinepar++;
puts(line);	puts(line);
fputs(line,ficparo);	fputs(line,ficparo);
	fputs(line,ficlog);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);

param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);	param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
for(i=1; i <=nlstate; i++)	for(i=1; i <=nlstate; i++){
for(j=1; j <=nlstate+ndeath-1; j++){	j=0;
	for(jj=1; jj <=nlstate+ndeath; jj++){
	if(jj==i) continue;
	j++;
fscanf(ficpar,"%1d%1d",&i1,&j1);	fscanf(ficpar,"%1d%1d",&i1,&j1);
	if ((i1 != i) && (j1 != j)){
	printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1);
	exit(1);
	}
fprintf(ficparo,"%1d%1d",i1,j1);	fprintf(ficparo,"%1d%1d",i1,j1);
if(mle==1)	if(mle==1)
printf("%1d%1d",i,j);	printf("%1d%1d",i,j);
Line 3430 int main(int argc, char *argv[])	Line 4124 int main(int argc, char *argv[])
fprintf(ficparo," %lf",param[i][j][k]);	fprintf(ficparo," %lf",param[i][j][k]);
}	}
fscanf(ficpar,"\n");	fscanf(ficpar,"\n");
	numlinepar++;
if(mle==1)	if(mle==1)
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
fprintf(ficparo,"\n");	fprintf(ficparo,"\n");
}	}
	}
	fflush(ficlog);

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

p=param[1][1];	p=param[1][1];
Line 3444 int main(int argc, char *argv[])	Line 4141 int main(int argc, char *argv[])
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
	numlinepar++;
puts(line);	puts(line);
fputs(line,ficparo);	fputs(line,ficparo);
	fputs(line,ficlog);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);

delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);	delti3= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
delti=vector(1,npar); /* Scale of each paramater (output from hesscov) */	/* delti=vector(1,npar); // Scale of each paramater (output from hesscov) */
for(i=1; i <=nlstate; i++){	for(i=1; i <=nlstate; i++){
for(j=1; j <=nlstate+ndeath-1; j++){	for(j=1; j <=nlstate+ndeath-1; j++){
fscanf(ficpar,"%1d%1d",&i1,&j1);	fscanf(ficpar,"%1d%1d",&i1,&j1);
	if ((i1-i)*(j1-j)!=0){
	printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1);
	exit(1);
	}
printf("%1d%1d",i,j);	printf("%1d%1d",i,j);
fprintf(ficparo,"%1d%1d",i1,j1);	fprintf(ficparo,"%1d%1d",i1,j1);
	fprintf(ficlog,"%1d%1d",i1,j1);
for(k=1; k<=ncovmodel;k++){	for(k=1; k<=ncovmodel;k++){
fscanf(ficpar,"%le",&delti3[i][j][k]);	fscanf(ficpar,"%le",&delti3[i][j][k]);
printf(" %le",delti3[i][j][k]);	printf(" %le",delti3[i][j][k]);
fprintf(ficparo," %le",delti3[i][j][k]);	fprintf(ficparo," %le",delti3[i][j][k]);
	fprintf(ficlog," %le",delti3[i][j][k]);
}	}
fscanf(ficpar,"\n");	fscanf(ficpar,"\n");
	numlinepar++;
printf("\n");	printf("\n");
fprintf(ficparo,"\n");	fprintf(ficparo,"\n");
	fprintf(ficlog,"\n");
}	}
}	}
	fflush(ficlog);

delti=delti3[1][1];	delti=delti3[1][1];


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

/* Reads comments: lines beginning with '#' */	/* Reads comments: lines beginning with '#' */
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
	numlinepar++;
puts(line);	puts(line);
fputs(line,ficparo);	fputs(line,ficparo);
	fputs(line,ficlog);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);

Line 3488 int main(int argc, char *argv[])	Line 4202 int main(int argc, char *argv[])
fscanf(ficpar," %le",&matcov[i][j]);	fscanf(ficpar," %le",&matcov[i][j]);
if(mle==1){	if(mle==1){
printf(" %.5le",matcov[i][j]);	printf(" %.5le",matcov[i][j]);
fprintf(ficlog," %.5le",matcov[i][j]);
}	}
else	fprintf(ficlog," %.5le",matcov[i][j]);
fprintf(ficlog," %.5le",matcov[i][j]);
fprintf(ficparo," %.5le",matcov[i][j]);	fprintf(ficparo," %.5le",matcov[i][j]);
}	}
fscanf(ficpar,"\n");	fscanf(ficpar,"\n");
	numlinepar++;
if(mle==1)	if(mle==1)
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
Line 3508 int main(int argc, char *argv[])	Line 4221 int main(int argc, char *argv[])
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");

	fflush(ficlog);

/-------- Rewriting paramater file ----------/	/-------- Rewriting paramater file ----------/
strcpy(rfileres,"r"); /* "Rparameterfile */	strcpy(rfileres,"r"); /* "Rparameterfile */
Line 3529 int main(int argc, char *argv[])	Line 4243 int main(int argc, char *argv[])
n= lastobs;	n= lastobs;
severity = vector(1,maxwav);	severity = vector(1,maxwav);
outcome=imatrix(1,maxwav+1,1,n);	outcome=imatrix(1,maxwav+1,1,n);
num=ivector(1,n);	num=lvector(1,n);
moisnais=vector(1,n);	moisnais=vector(1,n);
annais=vector(1,n);	annais=vector(1,n);
moisdc=vector(1,n);	moisdc=vector(1,n);
Line 3565 int main(int argc, char *argv[])	Line 4279 int main(int argc, char *argv[])
for (j=ncovcol;j>=1;j--){	for (j=ncovcol;j>=1;j--){
cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra);	cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra);
}	}
num[i]=atol(stra);	lstra=strlen(stra);
	if(lstra > 9){ /* More than 2*32 or max of what printf can write with %ld /
	stratrunc = &(stra[lstra-9]);
	num[i]=atol(stratrunc);
	}
	else
	num[i]=atol(stra);

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

i=i+1;	i=i+1;
}	}
Line 3584 int main(int argc, char *argv[])	Line 4304 int main(int argc, char *argv[])
}*/	}*/
/* for (i=1; i<=imx; i++){	/* for (i=1; i<=imx; i++){
if (s[4][i]==9) s[4][i]=-1;	if (s[4][i]==9) s[4][i]=-1;
printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]), (weight[i]), (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]), (mint[2][i]), (anint[2][i]), (s[2][i]), (mint[3][i]), (anint[3][i]), (s[3][i]), (mint[4][i]), (anint[4][i]), (s[4][i]));}*/	printf("%ld %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]), (weight[i]), (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]), (mint[2][i]), (anint[2][i]), (s[2][i]), (mint[3][i]), (anint[3][i]), (s[3][i]), (mint[4][i]), (anint[4][i]), (s[4][i]));}*/

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

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

/* Calculation of the number of parameter from char model*/	/* Calculation of the number of parameter from char model*/
Tvar=ivector(1,15); /* stores the number n of the covariates in Vm+Vn at 1 and m at 2 */	Tvar=ivector(1,15); /* stores the number n of the covariates in Vm+Vn at 1 and m at 2 */
Tprod=ivector(1,15);	Tprod=ivector(1,15);
Line 3678 int main(int argc, char *argv[])	Line 4402 int main(int argc, char *argv[])

for (i=1; i<=imx; i++) {	for (i=1; i<=imx; i++) {
for(m=2; (m<= maxwav); m++) {	for(m=2; (m<= maxwav); m++) {
if ((mint[m][i]== 99) && (s[m][i] <= nlstate)){	if (((int)mint[m][i]== 99) && (s[m][i] <= nlstate)){
anint[m][i]=9999;	anint[m][i]=9999;
s[m][i]=-1;	s[m][i]=-1;
}	}
if(moisdc[i]==99 && andc[i]==9999 & s[m][i]>nlstate) s[m][i]=-1;	if((int)moisdc[i]==99 && (int)andc[i]==9999 && s[m][i]>nlstate){
	nberr++;
	printf("Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
	fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);
	s[m][i]=-1;
	}
	if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){
	nberr++;
	printf("Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]);
	fprintf(ficlog,"Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]);
	s[m][i]=-1; /* We prefer to skip it (and to skip it in version 0.8a1 too */
	}
}	}
}	}

for (i=1; i<=imx; i++) {	for (i=1; i<=imx; i++) {
agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);	agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]);
for(m=1; (m<= maxwav); m++){	for(m=firstpass; (m<= lastpass); m++){
if(s[m][i] >0){	if(s[m][i] >0){
if (s[m][i] >= nlstate+1) {	if (s[m][i] >= nlstate+1) {
if(agedc[i]>0)	if(agedc[i]>0)
if(moisdc[i]!=99 && andc[i]!=9999)	if((int)moisdc[i]!=99 && (int)andc[i]!=9999)
agev[m][i]=agedc[i];	agev[m][i]=agedc[i];
/if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;/	/if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;/
else {	else {
if (andc[i]!=9999){	if ((int)andc[i]!=9999){
printf("Warning negative age at death: %d line:%d\n",num[i],i);	nbwarn++;
fprintf(ficlog,"Warning negative age at death: %d line:%d\n",num[i],i);	printf("Warning negative age at death: %ld line:%d\n",num[i],i);
	fprintf(ficlog,"Warning negative age at death: %ld line:%d\n",num[i],i);
agev[m][i]=-1;	agev[m][i]=-1;
}	}
}	}
}	}
else if(s[m][i] !=9){ /* Should no more exist */	else if(s[m][i] !=9){ /* Standard case, age in fractional
	years but with the precision of a
	month */
agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);	agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]);
if(mint[m][i]==99 \|\| anint[m][i]==9999)	if((int)mint[m][i]==99 \|\| (int)anint[m][i]==9999)
agev[m][i]=1;	agev[m][i]=1;
else if(agev[m][i] <agemin){	else if(agev[m][i] <agemin){
agemin=agev[m][i];	agemin=agev[m][i];
Line 3729 int main(int argc, char *argv[])	Line 4467 int main(int argc, char *argv[])

}	}
for (i=1; i<=imx; i++) {	for (i=1; i<=imx; i++) {
for(m=1; (m<= maxwav); m++){	for(m=firstpass; (m<=lastpass); m++){
if (s[m][i] > (nlstate+ndeath)) {	if (s[m][i] > (nlstate+ndeath)) {
	nberr++;
printf("Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);	printf("Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);
fprintf(ficlog,"Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);	fprintf(ficlog,"Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);
goto end;	goto end;
Line 3738 int main(int argc, char *argv[])	Line 4477 int main(int argc, char *argv[])
}	}
}	}

	/*for (i=1; i<=imx; i++){
	for (m=firstpass; (m<lastpass); m++){
	printf("%ld %d %.lf %d %d\n", num[i],(covar[1][i]),agev[m][i],s[m][i],s[m+1][i]);
	}

	}*/

printf("Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);	printf("Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);
fprintf(ficlog,"Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);	fprintf(ficlog,"Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);

Line 3792 int main(int argc, char *argv[])	Line 4538 int main(int argc, char *argv[])
}	}
scanf("%d",i);*/	scanf("%d",i);*/

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

	strcpy(optionfilehtm,optionfilefiname); /* Main html file */
	strcat(optionfilehtm,".htm");
	if((fichtm=fopen(optionfilehtm,"w"))==NULL) {
	printf("Problem with %s \n",optionfilehtm), exit(0);
	}

	strcpy(optionfilehtmcov,optionfilefiname); /* Only for matrix of covariance */
	strcat(optionfilehtmcov,"-cov.htm");
	if((fichtmcov=fopen(optionfilehtmcov,"w"))==NULL) {
	printf("Problem with %s \n",optionfilehtmcov), exit(0);
	}
	else{
	fprintf(fichtmcov,"<body>\n<title>IMaCh Cov %s</title>\n <font size=\"2\">%s <br> %s</font> \
	<hr size=\"2\" color=\"#EC5E5E\"> \n\
	Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n",\
	fileres,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);
	}

	fprintf(fichtm,"<body>\n<title>IMaCh %s</title>\n <font size=\"2\">%s <br> %s</font> \
	<hr size=\"2\" color=\"#EC5E5E\"> \n\
	Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n\
	\n\
	<hr size=\"2\" color=\"#EC5E5E\">\
	<ul><li><h4>Parameter files</h4>\n\
	- Copy of the parameter file: <a href=\"o%s\">o%s</a><br>\n\
	- Log file of the run: <a href=\"%s\">%s</a><br>\n\
	- Gnuplot file name: <a href=\"%s\">%s</a><br>\n\
	- Date and time at start: %s</ul>\n",\
	fileres,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model,\
	fileres,fileres,\
	filelog,filelog,optionfilegnuplot,optionfilegnuplot,strstart);
	fflush(fichtm);

	strcpy(pathr,path);
	strcat(pathr,optionfilefiname);
	chdir(optionfilefiname); /* Move to directory named optionfile */

/* Calculates basic frequencies. Computes observed prevalence at single age	/* Calculates basic frequencies. Computes observed prevalence at single age
and prints on file fileres'p'. */	and prints on file fileres'p'. */
	freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint);

pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */	fprintf(fichtm,"\n");
	fprintf(fichtm,"<br>Total number of observations=%d <br>\n\
	Youngest age at first (selected) pass %.2f, oldest age %.2f<br>\n\
	Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n",\
	imx,agemin,agemax,jmin,jmax,jmean);
	pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */	oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */	newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */	savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
Line 3806 int main(int argc, char *argv[])	Line 4609 int main(int argc, char *argv[])
so we point p on param[1][1] so that p[1] maps on param[1][1][1] */	so we point p on param[1][1] so that p[1] maps on param[1][1][1] */
p=param[1][1]; /* (((param +1)+1)+0) /	p=param[1][1]; /* (((param +1)+1)+0) /

	globpr=0; /* To get the number ipmx of contributions and the sum of weights*/
	likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
	printf("First Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);
	for (k=1; k<=npar;k++)
	printf(" %d %8.5f",k,p[k]);
	printf("\n");
	globpr=1; /* to print the contributions */
	likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
	printf("Second Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);
	for (k=1; k<=npar;k++)
	printf(" %d %8.5f",k,p[k]);
	printf("\n");
if(mle>=1){ /* Could be 1 or 2 */	if(mle>=1){ /* Could be 1 or 2 */
mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);	mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);
}	}
Line 3814 int main(int argc, char *argv[])	Line 4629 int main(int argc, char *argv[])
fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model);	fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model);


jk=1;
fprintf(ficres,"# Parameters nlstatenlstatencov a121 + b12 age + ...\n");	fprintf(ficres,"# Parameters nlstatenlstatencov a121 + b12 age + ...\n");
printf("# Parameters nlstatenlstatencov a121 + b12 age + ...\n");	printf("# Parameters nlstatenlstatencov a121 + b12 age + ...\n");
fprintf(ficlog,"# Parameters nlstatenlstatencov a121 + b12 age + ...\n");	fprintf(ficlog,"# Parameters nlstatenlstatencov a121 + b12 age + ...\n");
for(i=1,jk=1; i <=nlstate; i++){	for(i=1,jk=1; i <=nlstate; i++){
for(k=1; k <=(nlstate+ndeath); k++){	for(k=1; k <=(nlstate+ndeath); k++){
if (k != i)	if (k != i) {
{	printf("%d%d ",i,k);
printf("%d%d ",i,k);	fprintf(ficlog,"%d%d ",i,k);
fprintf(ficlog,"%d%d ",i,k);	fprintf(ficres,"%1d%1d ",i,k);
fprintf(ficres,"%1d%1d ",i,k);	for(j=1; j <=ncovmodel; j++){
for(j=1; j <=ncovmodel; j++){	printf("%f ",p[jk]);
printf("%f ",p[jk]);	fprintf(ficlog,"%f ",p[jk]);
fprintf(ficlog,"%f ",p[jk]);	fprintf(ficres,"%f ",p[jk]);
fprintf(ficres,"%f ",p[jk]);	jk++;
jk++;
}
printf("\n");
fprintf(ficlog,"\n");
fprintf(ficres,"\n");
}	}
	printf("\n");
	fprintf(ficlog,"\n");
	fprintf(ficres,"\n");
	}
}	}
}	}
if(mle==1){	if(mle!=0){
/* Computing hessian and covariance matrix */	/* Computing hessian and covariance matrix */
ftolhess=ftol; /* Usually correct */	ftolhess=ftol; /* Usually correct */
hesscov(matcov, p, npar, delti, ftolhess, func);	hesscov(matcov, p, npar, delti, ftolhess, func);
Line 3865 int main(int argc, char *argv[])	Line 4678 int main(int argc, char *argv[])
}	}

fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");	fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");
if(mle==1)	if(mle>=1)
printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");	printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");
fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");	fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");
for(i=1,k=1;i<=npar;i++){	/* # 121 Var(a12)\n\ */
/* if (k>nlstate) k=1;	/* # 122 Cov(b12,a12) Var(b12)\n\ */
i1=(i-1)/(ncovmodel*nlstate)+1;	/* # 131 Cov(a13,a12) Cov(a13,b12, Var(a13)\n\ */
fprintf(ficres,"%s%d%d",alph[k],i1,tab[i]);	/* # 132 Cov(b13,a12) Cov(b13,b12, Cov(b13,a13) Var(b13)\n\ */
printf("%s%d%d",alph[k],i1,tab[i]);	/* # 212 Cov(a21,a12) Cov(a21,b12, Cov(a21,a13) Cov(a21,b13) Var(a21)\n\ */
*/	/* # 212 Cov(b21,a12) Cov(b21,b12, Cov(b21,a13) Cov(b21,b13) Cov(b21,a21) Var(b21)\n\ */
fprintf(ficres,"%3d",i);	/* # 232 Cov(a23,a12) Cov(a23,b12, Cov(a23,a13) Cov(a23,b13) Cov(a23,a21) Cov(a23,b21) Var(a23)\n\ */
if(mle==1)	/* # 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n" */
printf("%3d",i);
fprintf(ficlog,"%3d",i);
for(j=1; j<=i;j++){	/* Just to have a covariance matrix which will be more understandable
fprintf(ficres," %.5e",matcov[i][j]);	even is we still don't want to manage dictionary of variables
if(mle==1)	*/
printf(" %.5e",matcov[i][j]);	for(itimes=1;itimes<=2;itimes++){
fprintf(ficlog," %.5e",matcov[i][j]);	jj=0;
}	for(i=1; i <=nlstate; i++){
fprintf(ficres,"\n");	for(j=1; j <=nlstate+ndeath; j++){
if(mle==1)	if(j==i) continue;
printf("\n");	for(k=1; k<=ncovmodel;k++){
fprintf(ficlog,"\n");	jj++;
k++;	ca[0]= k+'a'-1;ca[1]='\0';
}	if(itimes==1){
	if(mle>=1)
	printf("#%1d%1d%d",i,j,k);
	fprintf(ficlog,"#%1d%1d%d",i,j,k);
	fprintf(ficres,"#%1d%1d%d",i,j,k);
	}else{
	if(mle>=1)
	printf("%1d%1d%d",i,j,k);
	fprintf(ficlog,"%1d%1d%d",i,j,k);
	fprintf(ficres,"%1d%1d%d",i,j,k);
	}
	ll=0;
	for(li=1;li <=nlstate; li++){
	for(lj=1;lj <=nlstate+ndeath; lj++){
	if(lj==li) continue;
	for(lk=1;lk<=ncovmodel;lk++){
	ll++;
	if(ll<=jj){
	cb[0]= lk +'a'-1;cb[1]='\0';
	if(ll<jj){
	if(itimes==1){
	if(mle>=1)
	printf(" Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
	fprintf(ficlog," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
	fprintf(ficres," Cov(%s%1d%1d,%s%1d%1d)",ca,i,j,cb, li,lj);
	}else{
	if(mle>=1)
	printf(" %.5e",matcov[jj][ll]);
	fprintf(ficlog," %.5e",matcov[jj][ll]);
	fprintf(ficres," %.5e",matcov[jj][ll]);
	}
	}else{
	if(itimes==1){
	if(mle>=1)
	printf(" Var(%s%1d%1d)",ca,i,j);
	fprintf(ficlog," Var(%s%1d%1d)",ca,i,j);
	fprintf(ficres," Var(%s%1d%1d)",ca,i,j);
	}else{
	if(mle>=1)
	printf(" %.5e",matcov[jj][ll]);
	fprintf(ficlog," %.5e",matcov[jj][ll]);
	fprintf(ficres," %.5e",matcov[jj][ll]);
	}
	}
	}
	} /* end lk */
	} /* end lj */
	} /* end li */
	if(mle>=1)
	printf("\n");
	fprintf(ficlog,"\n");
	fprintf(ficres,"\n");
	numlinepar++;
	} /* end k*/
	} /end j /
	} /* end i */
	} /* end itimes */

	fflush(ficlog);
	fflush(ficres);

while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
Line 3922 int main(int argc, char *argv[])	Line 4794 int main(int argc, char *argv[])
fscanf(ficpar,"begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf mov_average=%d\n",&jprev1, &mprev1,&anprev1,&jprev2, &mprev2,&anprev2,&mobilav);	fscanf(ficpar,"begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf mov_average=%d\n",&jprev1, &mprev1,&anprev1,&jprev2, &mprev2,&anprev2,&mobilav);
fprintf(ficparo,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);	fprintf(ficparo,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
fprintf(ficres,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);	fprintf(ficres,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
	printf("begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
	fprintf(ficlog,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);

while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
Line 3932 int main(int argc, char *argv[])	Line 4806 int main(int argc, char *argv[])
ungetc(c,ficpar);	ungetc(c,ficpar);


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

fscanf(ficpar,"pop_based=%d\n",&popbased);	fscanf(ficpar,"pop_based=%d\n",&popbased);
fprintf(ficparo,"pop_based=%d\n",popbased);	fprintf(ficparo,"pop_based=%d\n",popbased);
Line 3947 int main(int argc, char *argv[])	Line 4821 int main(int argc, char *argv[])
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);

fscanf(ficpar,"starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf\n",&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2);	fscanf(ficpar,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj);
fprintf(ficparo,"starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf\n",jproj1,mproj1,anproj1,jproj2,mproj2,anproj2);	fprintf(ficparo,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
fprintf(ficres,"starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf\n",jproj1,mproj1,anproj1,jproj2,mproj2,anproj2);	printf("prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
	fprintf(ficlog,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
	fprintf(ficres,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
	/* day and month of proj2 are not used but only year anproj2.*/

while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
Line 3964 int main(int argc, char *argv[])	Line 4840 int main(int argc, char *argv[])
fprintf(ficparo,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);	fprintf(ficparo,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);
fprintf(ficres,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);	fprintf(ficres,"popforecast=%d popfile=%s popfiledate=%.lf/%.lf/%.lf last-popfiledate=%.lf/%.lf/%.lf\n",popforecast,popfile,jpyram,mpyram,anpyram,jpyram1,mpyram1,anpyram1);

freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);	/* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint);*/
	/,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);/

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

strcpy(optionfilehtm,optionfile);	printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,\
strcat(optionfilehtm,".htm");	model,imx,jmin,jmax,jmean,rfileres,popforecast,estepm,\
if((fichtm=fopen(optionfilehtm,"w"))==NULL) {	jprev1,mprev1,anprev1,jprev2,mprev2,anprev2);
printf("Problem with %s \n",optionfilehtm), exit(0);
}

fprintf(fichtm,"<body> <font size=\"2\">%s </font> <hr size=\"2\" color=\"#EC5E5E\"> \n
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n
\n
Total number of observations=%d <br>\n
Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n
<hr size=\"2\" color=\"#EC5E5E\">
<ul><li><h4>Parameter files</h4>\n
- Copy of the parameter file: <a href=\"o%s\">o%s</a><br>\n
- Log file of the run: <a href=\"%s\">%s</a><br>\n
- Gnuplot file name: <a href=\"%s\">%s</a></ul>\n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,filelog,filelog,optionfilegnuplot,optionfilegnuplot);
fclose(fichtm);

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

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

free_ivector(wav,1,imx);	free_ivector(wav,1,imx);
free_imatrix(dh,1,lastpass-firstpass+1,1,imx);	free_imatrix(dh,1,lastpass-firstpass+1,1,imx);
free_imatrix(bh,1,lastpass-firstpass+1,1,imx);	free_imatrix(bh,1,lastpass-firstpass+1,1,imx);
free_imatrix(mw,1,lastpass-firstpass+1,1,imx);	free_imatrix(mw,1,lastpass-firstpass+1,1,imx);
free_ivector(num,1,n);	free_lvector(num,1,n);
free_vector(agedc,1,n);	free_vector(agedc,1,n);
free_matrix(covar,0,NCOVMAX,1,n);	/free_matrix(covar,0,NCOVMAX,1,n);/
/free_matrix(covar,1,NCOVMAX,1,n);/	/free_matrix(covar,1,NCOVMAX,1,n);/
fclose(ficparo);	fclose(ficparo);
fclose(ficres);	fclose(ficres);
Line 4057 Interval (in months) between two waves:	Line 4906 Interval (in months) between two waves:

for (age=agebase; age<=agelim; age++){	for (age=agebase; age<=agelim; age++){
prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);	prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);
fprintf(ficrespl,"%.0f",age );	fprintf(ficrespl,"%.0f ",age );
	for(j=1;j<=cptcoveff;j++)
	fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
fprintf(ficrespl," %.5f", prlim[i][i]);	fprintf(ficrespl," %.5f", prlim[i][i]);
fprintf(ficrespl,"\n");	fprintf(ficrespl,"\n");
Line 4085 Interval (in months) between two waves:	Line 4936 Interval (in months) between two waves:

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

	fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x ");
for(cptcov=1,k=0;cptcov<=i1;cptcov++){	for(cptcov=1,k=0;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){	for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
k=k+1;	k=k+1;
Line 4102 Interval (in months) between two waves:	Line 4954 Interval (in months) between two waves:
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);	p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
oldm=oldms;savm=savms;	oldm=oldms;savm=savms;
hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);	hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);
fprintf(ficrespij,"# Age");	fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j=");
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate+ndeath;j++)	for(j=1; j<=nlstate+ndeath;j++)
fprintf(ficrespij," %1d-%1d",i,j);	fprintf(ficrespij," %1d-%1d",i,j);
fprintf(ficrespij,"\n");	fprintf(ficrespij,"\n");
for (h=0; h<=nhstepm; h++){	for (h=0; h<=nhstepm; h++){
fprintf(ficrespij,"%d %f %f",k,agedeb, agedeb+ hhstepm/YEARMstepm );	fprintf(ficrespij,"%d %3.f %3.f",k,agedeb, agedeb+ hhstepm/YEARMstepm );
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate+ndeath;j++)	for(j=1; j<=nlstate+ndeath;j++)
fprintf(ficrespij," %.5f", p3mat[i][j][h]);	fprintf(ficrespij," %.5f", p3mat[i][j][h]);
Line 4120 Interval (in months) between two waves:	Line 4972 Interval (in months) between two waves:
}	}
}	}

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

fclose(ficrespij);	fclose(ficrespij);

	probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
	for(i=1;i<=AGESUP;i++)
	for(j=1;j<=NCOVMAX;j++)
	for(k=1;k<=NCOVMAX;k++)
	probs[i][j][k]=0.;

/---------- Forecasting ------------------/	/---------- Forecasting ------------------/
if((stepm == 1) && (strcmp(model,".")==0)){	/if((stepm == 1) && (strcmp(model,".")==0)){/
prevforecast(fileres, anproj1,mproj1,jproj1, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anproj2,p, i1);	if(prevfcast==1){
if (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);	/* if(stepm ==1){*/
}	prevforecast(fileres, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);
else{	/* (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);*/
erreur=108;	/* } */
printf("Warning %d!! You can only forecast the prevalences if the optimization\n has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model);	/* else{ */
fprintf(ficlog,"Warning %d!! You can only forecast the prevalences if the optimization\n has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model);	/* erreur=108; */
	/* printf("Warning %d!! You can only forecast the prevalences if the optimization\n has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */
	/* fprintf(ficlog,"Warning %d!! You can only forecast the prevalences if the optimization\n has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */
	/* } */
}	}


Line 4167 Interval (in months) between two waves:	Line 5027 Interval (in months) between two waves:
printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);	printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);	fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);

calagedate=-1;	/* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */
	prevalence(probs, agemin, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate);	/* printf("ageminpar=%f, agemax=%f, s[lastpass][imx]=%d, agev[lastpass][imx]=%f, nlstate=%d, imx=%d, mint[lastpass][imx]=%f, anint[lastpass][imx]=%f,dateprev1=%f, dateprev2=%f, firstpass=%d, lastpass=%d\n",\
	ageminpar, agemax, s[lastpass][imx], agev[lastpass][imx], nlstate, imx, mint[lastpass][imx],anint[lastpass][imx], dateprev1, dateprev2, firstpass, lastpass);
	*/

if (mobilav!=0) {	if (mobilav!=0) {
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
Line 4293 Interval (in months) between two waves:	Line 5155 Interval (in months) between two waves:
free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);	free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);	free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);	free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);

	free_matrix(covar,0,NCOVMAX,1,n);
free_matrix(matcov,1,npar,1,npar);	free_matrix(matcov,1,npar,1,npar);
free_vector(delti,1,npar);	/free_vector(delti,1,npar);/
	free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
free_matrix(agev,1,maxwav,1,imx);	free_matrix(agev,1,maxwav,1,imx);
free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);	free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
	free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);

free_ivector(ncodemax,1,8);	free_ivector(ncodemax,1,8);
free_ivector(Tvar,1,15);	free_ivector(Tvar,1,15);
free_ivector(Tprod,1,15);	free_ivector(Tprod,1,15);
Line 4306 Interval (in months) between two waves:	Line 5172 Interval (in months) between two waves:
free_ivector(Tage,1,15);	free_ivector(Tage,1,15);
free_ivector(Tcode,1,100);	free_ivector(Tcode,1,100);

fprintf(fichtm,"\n</body>");	fflush(fichtm);
fclose(fichtm);	fflush(ficgp);
fclose(ficgp);


if(erreur >0){	if((nberr >0) \|\| (nbwarn>0)){
printf("End of Imach with error or warning %d\n",erreur);	printf("End of Imach with %d errors and/or %d warnings\n",nberr,nbwarn);
fprintf(ficlog,"End of Imach with error or warning %d\n",erreur);	fprintf(ficlog,"End of Imach with %d errors and/or warnings %d\n",nberr,nbwarn);
}else{	}else{
printf("End of Imach\n");	printf("End of Imach\n");
fprintf(ficlog,"End of Imach\n");	fprintf(ficlog,"End of Imach\n");
}	}
printf("See log file on %s\n",filelog);	printf("See log file on %s\n",filelog);
fclose(ficlog);
/* gettimeofday(&end_time, (struct timezone)0);/ /* after time */	/* gettimeofday(&end_time, (struct timezone)0);/ /* after time */
	(void) gettimeofday(&end_time,&tzp);
/* printf("Total time was %d Sec. %d uSec.\n", end_time.tv_sec -start_time.tv_sec, end_time.tv_usec -start_time.tv_usec);*/	tm = *localtime(&end_time.tv_sec);
/printf("Total time was %d uSec.\n", total_usecs);/	tmg = *gmtime(&end_time.tv_sec);
	strcpy(strtend,asctime(&tm));
	printf("Local time at start %s\nLocaltime at end %s",strstart, strtend);
	fprintf(ficlog,"Local time at start %s\nLocal time at end %s\n",strstart, strtend);
	printf("Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));

	printf("Total time was %d Sec.\n", end_time.tv_sec -start_time.tv_sec);
	fprintf(ficlog,"Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));
	fprintf(ficlog,"Total time was %d Sec.\n", end_time.tv_sec -start_time.tv_sec);
	/* printf("Total time was %d uSec.\n", total_usecs);*/
	/* if(fileappend(fichtm,optionfilehtm)){ */
	fprintf(fichtm,"<br>Local time at start %s<br>Local time at end %s<br>",strstart, strtend);
	fclose(fichtm);
	fclose(fichtmcov);
	fclose(ficgp);
	fclose(ficlog);
/------ End -----------/	/------ End -----------/

end:	chdir(path);
#ifdef windows
/* chdir(pathcd);*/
#endif
/system("wgnuplot graph.plt");/
/system("../gp37mgw/wgnuplot graph.plt");/
/system("cd ../gp37mgw");/
/* system("..\\gp37mgw\\wgnuplot graph.plt");*/
strcpy(plotcmd,GNUPLOTPROGRAM);	strcpy(plotcmd,GNUPLOTPROGRAM);
strcat(plotcmd," ");	strcat(plotcmd," ");
strcat(plotcmd,optionfilegnuplot);	strcat(plotcmd,optionfilegnuplot);
printf("Starting: %s\n",plotcmd);fflush(stdout);	printf("Starting graphs with: %s",plotcmd);fflush(stdout);
system(plotcmd);	if((outcmd=system(plotcmd)) != 0){
	printf(" Problem with gnuplot\n");
/#ifdef windows/	}
	printf(" Wait...");
while (z[0] != 'q') {	while (z[0] != 'q') {
/* chdir(path); */	/* chdir(path); */
printf("\nType e to edit output files, g to graph again, c to start again, and q for exiting: ");	printf("\nType e to edit output files, g to graph again and q for exiting: ");
scanf("%s",z);	scanf("%s",z);
if (z[0] == 'c') system("./imach");	/* if (z[0] == 'c') system("./imach"); */
else if (z[0] == 'e') system(optionfilehtm);	if (z[0] == 'e') system(optionfilehtm);
else if (z[0] == 'g') system(plotcmd);	else if (z[0] == 'g') system(plotcmd);
else if (z[0] == 'q') exit(0);	else if (z[0] == 'q') exit(0);
}	}
/#endif /	end:
	while (z[0] != 'q') {
	printf("\nType q for exiting: ");
	scanf("%s",z);
	}
}	}

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	Added in v.1.96