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Diff for /imach/src/imach.c between versions 1.136 and 1.157

version 1.136, 2010/04/26 20:30:53	version 1.157, 2014/08/27 16:26:55
Line 1	Line 1
/* $Id$	/* $Id$
$State$	$State$
$Log$	$Log$
	Revision 1.157 2014/08/27 16:26:55 brouard
	Summary: Preparing windows Visual studio version
	Author: Brouard

	In order to compile on Visual studio, time.h is now correct and time_t
	and tm struct should be used. difftime should be used but sometimes I
	just make the differences in raw time format (time(&now).
	Trying to suppress #ifdef LINUX
	Add xdg-open for __linux in order to open default browser.

	Revision 1.156 2014/08/25 20:10:10 brouard
	* empty log message *

	Revision 1.155 2014/08/25 18:32:34 brouard
	Summary: New compile, minor changes
	Author: Brouard

	Revision 1.154 2014/06/20 17:32:08 brouard
	Summary: Outputs now all graphs of convergence to period prevalence

	Revision 1.153 2014/06/20 16:45:46 brouard
	Summary: If 3 live state, convergence to period prevalence on same graph
	Author: Brouard

	Revision 1.152 2014/06/18 17:54:09 brouard
	Summary: open browser, use gnuplot on same dir than imach if not found in the path

	Revision 1.151 2014/06/18 16:43:30 brouard
	* empty log message *

	Revision 1.150 2014/06/18 16:42:35 brouard
	Summary: If gnuplot is not in the path try on same directory than imach binary (OSX)
	Author: brouard

	Revision 1.149 2014/06/18 15:51:14 brouard
	Summary: Some fixes in parameter files errors
	Author: Nicolas Brouard

	Revision 1.148 2014/06/17 17:38:48 brouard
	Summary: Nothing new
	Author: Brouard

	Just a new packaging for OS/X version 0.98nS

	Revision 1.147 2014/06/16 10:33:11 brouard
	* empty log message *

	Revision 1.146 2014/06/16 10:20:28 brouard
	Summary: Merge
	Author: Brouard

	Merge, before building revised version.

	Revision 1.145 2014/06/10 21:23:15 brouard
	Summary: Debugging with valgrind
	Author: Nicolas Brouard

	Lot of changes in order to output the results with some covariates
	After the Edimburgh REVES conference 2014, it seems mandatory to
	improve the code.
	No more memory valgrind error but a lot has to be done in order to
	continue the work of splitting the code into subroutines.
	Also, decodemodel has been improved. Tricode is still not
	optimal. nbcode should be improved. Documentation has been added in
	the source code.

	Revision 1.143 2014/01/26 09:45:38 brouard
	Summary: Version 0.98nR (to be improved, but gives same optimization results as 0.98k. Nice, promising

	* imach.c (Module): Trying to merge old staffs together while being at Tokyo. Not tested...
	(Module): Version 0.98nR Running ok, but output format still only works for three covariates.

	Revision 1.142 2014/01/26 03:57:36 brouard
	Summary: gnuplot changed plot w l 1 has to be changed to plot w l lt 2

	* imach.c (Module): Trying to merge old staffs together while being at Tokyo. Not tested...

	Revision 1.141 2014/01/26 02:42:01 brouard
	* imach.c (Module): Trying to merge old staffs together while being at Tokyo. Not tested...

	Revision 1.140 2011/09/02 10:37:54 brouard
	Summary: times.h is ok with mingw32 now.

	Revision 1.139 2010/06/14 07:50:17 brouard
	After the theft of my laptop, I probably lost some lines of codes which were not uploaded to the CVS tree.
	I remember having already fixed agemin agemax which are pointers now but not cvs saved.

	Revision 1.138 2010/04/30 18:19:40 brouard
	* empty log message *

	Revision 1.137 2010/04/29 18:11:38 brouard
	(Module): Checking covariates for more complex models
	than V1+V2. A lot of change to be done. Unstable.

Revision 1.136 2010/04/26 20:30:53 brouard	Revision 1.136 2010/04/26 20:30:53 brouard
(Module): merging some libgsl code. Fixing computation	(Module): merging some libgsl code. Fixing computation
of likelione (using inter/intrapolation if mle = 0) in order to	of likelione (using inter/intrapolation if mle = 0) in order to
Line 346	Line 440
begin-prev-date,...	begin-prev-date,...
open gnuplot file	open gnuplot file
open html file	open html file
period (stable) prevalence	period (stable) prevalence \| pl_nom 1-1 2-2 etc by covariate
for age prevalim()	for age prevalim() \| #**** V1=0 V2=1 V3=1 V4=0 ****
h Pij x	\| 65 1 0 2 1 3 1 4 0 0.96326 0.03674
variance of p varprob	freexexit2 possible for memory heap.

	h Pij x \| pij_nom ficrestpij
	# Cov Agex agex+h hpijx with i,j= 1-1 1-2 1-3 2-1 2-2 2-3
	1 85 85 1.00000 0.00000 0.00000 0.00000 1.00000 0.00000
	1 85 86 0.68299 0.22291 0.09410 0.71093 0.00000 0.28907

	1 65 99 0.00364 0.00322 0.99314 0.00350 0.00310 0.99340
	1 65 100 0.00214 0.00204 0.99581 0.00206 0.00196 0.99597
	variance of p one-step probabilities varprob \| prob_nom ficresprob #One-step probabilities and stand. devi in ()
	Standard deviation of one-step probabilities \| probcor_nom ficresprobcor #One-step probabilities and correlation matrix
	Matrix of variance covariance of one-step probabilities \| probcov_nom ficresprobcov #One-step probabilities and covariance matrix

forecasting if prevfcast==1 prevforecast call prevalence()	forecasting if prevfcast==1 prevforecast call prevalence()
health expectancies	health expectancies
Variance-covariance of DFLE	Variance-covariance of DFLE
Line 377	Line 483
#include <errno.h>	#include <errno.h>
extern int errno;	extern int errno;

	/* #ifdef LINUX */
	/* #include <time.h> */
	/* #include "timeval.h" */
	/* #else */
/* #include <sys/time.h> */	/* #include <sys/time.h> */
	/* #endif */

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

#ifdef GSL	#ifdef GSL
#include <gsl/gsl_errno.h>	#include <gsl/gsl_errno.h>
Line 389 extern int errno;	Line 500 extern int errno;
/* #include <libintl.h> */	/* #include <libintl.h> */
/* #define _(String) gettext (String) */	/* #define _(String) gettext (String) */

#define MAXLINE 256	#define MAXLINE 1024 /* Was 256. Overflow with 312 with 2 states and 4 covariates. Should be ok */

#define GNUPLOTPROGRAM "gnuplot"	#define GNUPLOTPROGRAM "gnuplot"
/#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"/	/#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"/
Line 398 extern int errno;	Line 509 extern int errno;
#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 */

#define MAXPARM 128 /* Maximum number of parameters for the optimization */	#define MAXPARM 128 /*< Maximum number of parameters for the optimization /
#define NPARMAX 64 /* (nlstate+ndeath-1)nlstatencovmodel */	#define NPARMAX 64 /*< (nlstate+ndeath-1)nlstatencovmodel /

#define NINTERVMAX 8	#define NINTERVMAX 8
#define NLSTATEMAX 8 /* Maximum number of live states (for func) */	#define NLSTATEMAX 8 /*< Maximum number of live states (for func) /
#define NDEATHMAX 8 /* Maximum number of dead states (for func) */	#define NDEATHMAX 8 /*< Maximum number of dead states (for func) /
#define NCOVMAX 20 /* Maximum number of covariates */	#define NCOVMAX 20 /*< Maximum number of covariates, including generated covariates V1V2 */
	#define codtabm(h,k) 1 & (h-1) >> (k-1) ;
#define MAXN 20000	#define MAXN 20000
#define YEARM 12. /* Number of months per year */	#define YEARM 12. /*< Number of months per year /
#define AGESUP 130	#define AGESUP 130
#define AGEBASE 40	#define AGEBASE 40
#define AGEGOMP 10. /* Minimal age for Gompertz adjustment */	#define AGEGOMP 10. /*< Minimal age for Gompertz adjustment /
#ifdef UNIX	#ifdef _WIN32
#define DIRSEPARATOR '/'
#define CHARSEPARATOR "/"
#define ODIRSEPARATOR '\\'
#else
#define DIRSEPARATOR '\\'	#define DIRSEPARATOR '\\'
#define CHARSEPARATOR "\\"	#define CHARSEPARATOR "\\"
#define ODIRSEPARATOR '/'	#define ODIRSEPARATOR '/'
	#else
	#define DIRSEPARATOR '/'
	#define CHARSEPARATOR "/"
	#define ODIRSEPARATOR '\\'
#endif	#endif

/* $Id$ */	/* $Id$ */
/* $State$ */	/* $State$ */

char version[]="Imach version 0.98m, April 2010, INED-EUROREVES-Institut de longevite ";	char version[]="Imach version 0.98nX, August 2014,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121)";
char fullversion[]="$Revision$ $Date$";	char fullversion[]="$Revision$ $Date$";
char strstart[80];	char strstart[80];
char optionfilext[10], optionfilefiname[FILENAMELENGTH];	char optionfilext[10], optionfilefiname[FILENAMELENGTH];
int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */	int erreur=0, nberr=0, nbwarn=0; /* Error number, number of errors number of warnings */
int nvar=0, nforce=0; /* Number of variables, number of forces */	int nvar=0, nforce=0; /* Number of variables, number of forces */
int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov=0; /* Number of covariates, of covariates with 'age' /	/* Number of covariates model=V2+V1+ V3age+V2V4 */
	int cptcovn=0; /*< cptcovn number of covariates added in the model (excepting constant and age and ageproduct) */
	int cptcovt=0; /*< cptcovt number of covariates added in the model (excepting constant and age) /
	int cptcovs=0; /*< cptcovs number of simple covariates V2+V1 =2 /
	int cptcovage=0; /*< Number of covariates with age: V3age only =1 */
	int cptcovprodnoage=0; /*< Number of covariate products without age /
	int cptcoveff=0; /* Total number of covariates to vary for printing results */
	int cptcov=0; /* Working variable */
int npar=NPARMAX;	int npar=NPARMAX;
int nlstate=2; /* Number of live states */	int nlstate=2; /* Number of live states */
int ndeath=1; /* Number of dead states */	int ndeath=1; /* Number of dead states */
Line 448 int *dh; / dh[mi][i] is number of step	Line 567 int *dh; / dh[mi][i] is number of step
int *bh; / bh[mi][i] is the bias (+ or -) for this individual if the delay between	int *bh; / bh[mi][i] is the bias (+ or -) for this individual if the delay between
* wave mi and wave mi+1 is not an exact multiple of stepm. */	* wave mi and wave mi+1 is not an exact multiple of stepm. */
double jmean=1; /* Mean space between 2 waves */	double jmean=1; /* Mean space between 2 waves */
	double *matprod2(); / test */
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 ; / / Used in readdata only */	/FILE fic ; / / Used in readdata only */
Line 489 char popfile[FILENAMELENGTH];	Line 609 char popfile[FILENAMELENGTH];

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

struct timeval start_time, end_time, curr_time, last_time, forecast_time;	/* struct timeval start_time, end_time, curr_time, last_time, forecast_time; */
struct timezone tzp;	/* struct timezone tzp; */
extern int gettimeofday();	/* extern int gettimeofday(); */
struct tm tmg, tm, tmf, gmtime(), localtime();	struct tm tml, gmtime(), localtime();
long time_value;
extern long time();	extern time_t time();

	struct tm start_time, end_time, curr_time, last_time, forecast_time;
	time_t rstart_time, rend_time, rcurr_time, rlast_time, rforecast_time; /* raw time */
	struct tm tm;

char strcurr[80], strfor[80];	char strcurr[80], strfor[80];

char *endptr;	char *endptr;
Line 547 double dateintmean=0;	Line 672 double dateintmean=0;

double *weight;	double *weight;
int *s; / Status */	int *s; / Status */
double agedc, *covar, idx;	double *agedc;
int *nbcode, Tvar, codtab, Tvard, Tprod, cptcovprod, Tvaraff;	double covar; /< covar[j,i], value of jth covariate for individual i,
	* covar=matrix(0,NCOVMAX,1,n);
	* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]cov[2]; /
	double idx;
	int *nbcode, Tvar; /*< model=V2 => Tvar[1]= 2 /
	int Ndum; /* Freq of modality (tricode */
	int codtab; /< codtab=imatrix(1,100,1,10); */
	int *Tvard, Tprod, cptcovprod, *Tvaraff;
double lsurv, lpop, *tpop;	double lsurv, lpop, *tpop;

double ftol=FTOL; /* Tolerance for computing Max Likelihood */	double ftol=FTOL; /*< Tolerance for computing Max Likelihood /
double ftolhess; /* Tolerance for computing hessian */	double ftolhess; /*< Tolerance for computing hessian /

/************** split ***********************/	/************** split ***********************/
static int split( char path, char dirc, char name, char ext, char *finame )	static int split( char path, char dirc, char name, char ext, char *finame )
Line 622 void replace_back_to_slash(char *s, char	Line 754 void replace_back_to_slash(char *s, char
}	}

char trimbb(char out, char *in)	char trimbb(char out, char *in)
{ /* Trim multiple blanks in line */	{ /* Trim multiple blanks in line but keeps first blanks if line starts with blanks */
char *s;	char *s;
s=out;	s=out;
while (*in != '\0'){	while (*in != '\0'){
while( in == ' ' && (in+1) == ' ' && *(in+1) != '\0'){	while( in == ' ' && (in+1) == ' '){ /* && (in+1) != '\0'){/
in++;	in++;
}	}
out++ = in++;	out++ = in++;
Line 635 char trimbb(char out, char *in)	Line 767 char trimbb(char out, char *in)
return s;	return s;
}	}

	char cutl(char blocc, char alocc, char in, char occ)
	{
	/* cuts string in into blocc and alocc where blocc ends before first occurence of char 'occ'
	and alocc starts after first occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')
	gives blocc="abcdef2ghi" and alocc="j".
	If occ is not found blocc is null and alocc is equal to in. Returns blocc
	*/
	char s, t, *bl;
	t=in;s=in;
	while ((in != occ) && (in != '\0')){
	alocc++ = in++;
	}
	if( *in == occ){
	*(alocc)='\0';
	s=++in;
	}

	if (s == t) {/* occ not found */
	*(alocc-(in-s))='\0';
	in=s;
	}
	while ( *in != '\0'){
	blocc++ = in++;
	}

	*blocc='\0';
	return t;
	}
	char cutv(char blocc, char alocc, char in, char occ)
	{
	/* cuts string in into blocc and alocc where blocc ends before last occurence of char 'occ'
	and alocc starts after last occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')
	gives blocc="abcdef2ghi" and alocc="j".
	If occ is not found blocc is null and alocc is equal to in. Returns alocc
	*/
	char s, t;
	t=in;s=in;
	while (*in != '\0'){
	while( *in == occ){
	blocc++ = in++;
	s=in;
	}
	blocc++ = in++;
	}
	if (s == t) /* occ not found */
	*(blocc-(in-s))='\0';
	else
	*(blocc-(in-s)-1)='\0';
	in=s;
	while ( *in != '\0'){
	alocc++ = in++;
	}

	*alocc='\0';
	return s;
	}

int nbocc(char *s, char occ)	int nbocc(char *s, char occ)
{	{
int i,j=0;	int i,j=0;
Line 647 int nbocc(char *s, char occ)	Line 836 int nbocc(char *s, char occ)
return j;	return j;
}	}

void cutv(char u,char v, char*t, char occ)	/* void cutv(char u,char v, chart, char occ) /
{	/* { */
/* cuts string t into u and v where u ends before first occurence of char 'occ'	/* /\* cuts string t into u and v where u ends before last occurence of char 'occ' */
and v starts after first occurence of char 'occ' : ex cutv(u,v,"abcdef2ghi2j",'2')	/* and v starts after last occurence of char 'occ' : ex cutv(u,v,"abcdef2ghi2j",'2') */
gives u="abcedf" and v="ghi2j" */	/* gives u="abcdef2ghi" and v="j" \/ /
int i,lg,j,p=0;	/* int i,lg,j,p=0; */
i=0;	/* i=0; */
for(j=0; j<=strlen(t)-1; j++) {	/* lg=strlen(t); */
if((t[j]!= occ) && (t[j+1]== occ)) p=j+1;	/* for(j=0; j<=lg-1; j++) { */
}	/* if((t[j]!= occ) && (t[j+1]== occ)) p=j+1; */
	/* } */

lg=strlen(t);	/* for(j=0; j<p; j++) { */
for(j=0; j<p; j++) {	/* (u[j] = t[j]); */
(u[j] = t[j]);	/* } */
}	/* u[p]='\0'; */
u[p]='\0';

for(j=0; j<= lg; j++) {	/* for(j=0; j<= lg; j++) { */
if (j>=(p+1))(v[j-p-1] = t[j]);	/* if (j>=(p+1))(v[j-p-1] = t[j]); */
}	/* } */
}	/* } */

/******************** nrerror ******************/	/******************** nrerror ******************/

Line 776 double **matrix(long nrl, long nrh, long	Line 965 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])	/* print ((m+1)+70) or print m[1][70]; print m+1 or print &(m[1]) or &(m[1][0])
	m[i] = address of ith row of the table. &(m[i]) is its value which is another adress
	that of m[i][0]. In order to get the value p m[i][0] but it is unitialized.
*/	*/
}	}

Line 1050 char *asc_diff_time(long time_sec, char	Line 1241 char *asc_diff_time(long time_sec, char
sec_left = (sec_left) %(60*60);	sec_left = (sec_left) %(60*60);
minutes = (sec_left) /60;	minutes = (sec_left) /60;
sec_left = (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);	sprintf(ascdiff,"%ld day(s) %ld hour(s) %ld minute(s) %ld second(s)",days, hours, minutes, sec_left);
return ascdiff;	return ascdiff;
}	}

Line 1072 void powell(double p[], double **xi, int	Line 1263 void powell(double p[], double **xi, int
xits=vector(1,n);	xits=vector(1,n);
fret=(func)(p);	fret=(func)(p);
for (j=1;j<=n;j++) pt[j]=p[j];	for (j=1;j<=n;j++) pt[j]=p[j];
	rcurr_time = time(NULL);
for (iter=1;;++(iter)) {	for (iter=1;;++(iter)) {
fp=(*fret);	fp=(*fret);
ibig=0;	ibig=0;
del=0.0;	del=0.0;
last_time=curr_time;	rlast_time=rcurr_time;
(void) gettimeofday(&curr_time,&tzp);	/* (void) gettimeofday(&curr_time,&tzp); */
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);	rcurr_time = time(NULL);
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); fflush(ficlog);	curr_time = *localtime(&rcurr_time);
/* fprintf(ficrespow,"%d %.12f %ld",iter,fret,curr_time.tv_sec-start_time.tv_sec); */	printf("\nPowell iter=%d -2LL=%.12f %ld sec. %ld sec.",iter,*fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout);
	fprintf(ficlog,"\nPowell iter=%d -2LL=%.12f %ld sec. %ld sec.",iter,*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog);
	/* fprintf(ficrespow,"%d %.12f %ld",iter,fret,curr_time.tm_sec-start_time.tm_sec); */
for (i=1;i<=n;i++) {	for (i=1;i<=n;i++) {
printf(" %d %.12f",i, p[i]);	printf(" %d %.12f",i, p[i]);
fprintf(ficlog," %d %.12lf",i, p[i]);	fprintf(ficlog," %d %.12lf",i, p[i]);
Line 1090 void powell(double p[], double **xi, int	Line 1284 void powell(double p[], double **xi, int
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
fprintf(ficrespow,"\n");fflush(ficrespow);	fprintf(ficrespow,"\n");fflush(ficrespow);
if(*iter <=3){	if(*iter <=3){
tm = *localtime(&curr_time.tv_sec);	tml = *localtime(&rcurr_time);
strcpy(strcurr,asctime(&tm));	strcpy(strcurr,asctime(&tml));
/* asctime_r(&tm,strcurr); */	/* asctime_r(&tm,strcurr); */
forecast_time=curr_time;	rforecast_time=rcurr_time;
itmp = strlen(strcurr);	itmp = strlen(strcurr);
if(strcurr[itmp-1]=='\n') /* Windows outputs with a new line */	if(strcurr[itmp-1]=='\n') /* Windows outputs with a new line */
strcurr[itmp-1]='\0';	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);	printf("\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time);
fprintf(ficlog,"\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,rcurr_time-rlast_time);
for(niterf=10;niterf<=30;niterf+=10){	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);	rforecast_time=rcurr_time+(niterf-iter)(rcurr_time-rlast_time);
tmf = *localtime(&forecast_time.tv_sec);	forecast_time = *localtime(&rforecast_time);
/* asctime_r(&tmf,strfor); */	/* asctime_r(&tmf,strfor); */
strcpy(strfor,asctime(&tmf));	strcpy(strfor,asctime(&forecast_time));
itmp = strlen(strfor);	itmp = strlen(strfor);
if(strfor[itmp-1]=='\n')	if(strfor[itmp-1]=='\n')
strfor[itmp-1]='\0';	strfor[itmp-1]='\0';
printf(" - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);	printf(" - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr);
fprintf(ficlog," - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);	fprintf(ficlog," - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr);
}	}
}	}
for (i=1;i<=n;i++) {	for (i=1;i<=n;i++) {
Line 1211 double prevalim(double prlim, int nl	Line 1405 double prevalim(double prlim, int nl

int i, ii,j,k;	int i, ii,j,k;
double min, max, maxmin, maxmax,sumnew=0.;	double min, max, maxmin, maxmax,sumnew=0.;
double **matprod2();	/* double *matprod2(); / /* test */
double out, cov[NCOVMAX+1], pmij();	double out, cov[NCOVMAX+1], pmij();
double **newm;	double **newm;
double agefin, delaymax=50 ; /* Max number of years to converge */	double agefin, delaymax=50 ; /* Max number of years to converge */
Line 1227 double prevalim(double prlim, int nl	Line 1421 double prevalim(double prlim, int nl
for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){	for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){
newm=savm;	newm=savm;
/* Covariates have to be included here again */	/* Covariates have to be included here again */
cov[2]=agefin;	cov[2]=agefin;

for (k=1; k<=cptcovn;k++) {	for (k=1; k<=cptcovn;k++) {
cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];	cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];
/* printf("ij=%d k=%d Tvar[k]=%d nbcode=%d cov=%lf codtab[ij][Tvar[k]]=%d \n",ij,k, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k], codtab[ij][Tvar[k]]);*/	/printf("prevalim ij=%d k=%d Tvar[%d]=%d nbcode=%d cov=%lf codtab[%d][Tvar[%d]]=%d \n",ij,k, k, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k], ij, k, codtab[ij][Tvar[k]]);/
}	}
for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];	/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; /
for (k=1; k<=cptcovprod;k++)	/* for (k=1; k<=cptcovprod;k++) /\* Useless \/ /
cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]] * nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];	/* cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]] * nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]]; */

/printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);/	/printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);/
/printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);/	/printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);/
/printf("ij=%d cov[3]=%lf \n",ij, cov[3]);/	/printf("ij=%d cov[3]=%lf \n",ij, cov[3]);/
out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);	/* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */
	/* out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /\* Bug Valgrind \/ /
	out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* Bug Valgrind */

savm=oldm;	savm=oldm;
oldm=newm;	oldm=newm;
maxmax=0.;	maxmax=0.;
Line 1252 double prevalim(double prlim, int nl	Line 1448 double prevalim(double prlim, int nl
sumnew=0;	sumnew=0;
for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];	for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];
prlim[i][j]= newm[i][j]/(1-sumnew);	prlim[i][j]= newm[i][j]/(1-sumnew);
	/printf(" prevalim i=%d, j=%d, prmlim[%d][%d]=%f, agefin=%d \n", i, j, i, j, prlim[i][j],(int)agefin);/
max=FMAX(max,prlim[i][j]);	max=FMAX(max,prlim[i][j]);
min=FMIN(min,prlim[i][j]);	min=FMIN(min,prlim[i][j]);
}	}
Line 1268 double prevalim(double prlim, int nl	Line 1465 double prevalim(double prlim, int nl

double pmij(double ps, double cov, int ncovmodel, double x, int nlstate )	double pmij(double ps, double cov, int ncovmodel, double x, int nlstate )
{	{
double s1, s2;	/* According to parameters values stored in x and the covariate's values stored in cov,
	computes the probability to be observed in state j being in state i by appying the
	model to the ncovmodel covariates (including constant and age).
	lnpijopii=ln(pij/pii)= aij+bijage+cijv1+dijv2+... = sum_nc=1^ncovmodel xij(nc)cov[nc]
	and, according on how parameters are entered, the position of the coefficient xij(nc) of the
	ncth covariate in the global vector x is given by the formula:
	j<i nc+((i-1)(nlstate+ndeath-1)+j-1)ncovmodel
	j>=i nc + ((i-1)(nlstate+ndeath-1)+(j-2))ncovmodel
	Computes ln(pij/pii) (lnpijopii), deduces pij/pii by exponentiation,
	sums on j different of i to get 1-pii/pii, deduces pii, and then all pij.
	Outputs ps[i][j] the probability to be observed in j being in j according to
	the values of the covariates cov[nc] and corresponding parameter values x[nc+shiftij]
	*/
	double s1, lnpijopii;
/double t34;/	/double t34;/
int i,j,j1, nc, ii, jj;	int i,j,j1, nc, ii, jj;

for(i=1; i<= nlstate; i++){	for(i=1; i<= nlstate; i++){
for(j=1; j<i;j++){	for(j=1; j<i;j++){
for (nc=1, s2=0.;nc <=ncovmodel; nc++){	for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){
/s2 += param[i][j][nc]cov[nc];*/	/lnpijopii += param[i][j][nc]cov[nc];*/
s2 += x[(i-1)nlstatencovmodel+(j-1)ncovmodel+nc+(i-1)(ndeath-1)ncovmodel]cov[nc];	lnpijopii += x[nc+((i-1)(nlstate+ndeath-1)+j-1)ncovmodel]*cov[nc];
/* printf("Int j<i s1=%.17e, s2=%.17e\n",s1,s2); */	/* printf("Int j<i s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */
}	}
ps[i][j]=s2;	ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */
/* printf("s1=%.17e, s2=%.17e\n",s1,s2); */	/* printf("s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */
}	}
for(j=i+1; j<=nlstate+ndeath;j++){	for(j=i+1; j<=nlstate+ndeath;j++){
for (nc=1, s2=0.;nc <=ncovmodel; nc++){	for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){
s2 += x[(i-1)nlstatencovmodel+(j-2)ncovmodel+nc+(i-1)(ndeath-1)ncovmodel]cov[nc];	/lnpijopii += x[(i-1)nlstatencovmodel+(j-2)ncovmodel+nc+(i-1)(ndeath-1)ncovmodel]cov[nc];/
/* printf("Int j>i s1=%.17e, s2=%.17e %lx %lx\n",s1,s2,s1,s2); */	lnpijopii += x[nc + ((i-1)(nlstate+ndeath-1)+(j-2))ncovmodel]*cov[nc];
	/* printf("Int j>i s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */
}	}
ps[i][j]=s2;	ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */
}	}
}	}
/ps[3][2]=1;/

for(i=1; i<= nlstate; i++){	for(i=1; i<= nlstate; i++){
s1=0;	s1=0;
for(j=1; j<i; j++){	for(j=1; j<i; j++){
s1+=exp(ps[i][j]);	s1+=exp(ps[i][j]); /* In fact sums pij/pii */
/printf("debug1 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); /	/printf("debug1 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); /
}	}
for(j=i+1; j<=nlstate+ndeath; j++){	for(j=i+1; j<=nlstate+ndeath; j++){
s1+=exp(ps[i][j]);	s1+=exp(ps[i][j]); /* In fact sums pij/pii */
/printf("debug2 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); /	/printf("debug2 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); /
}	}
	/* s1= sum_{j<>i} pij/pii=(1-pii)/pii and thus pii is known from s1 */
ps[i][i]=1./(s1+1.);	ps[i][i]=1./(s1+1.);
	/* Computing other pijs */
for(j=1; j<i; j++)	for(j=1; j<i; j++)
ps[i][j]= exp(ps[i][j])*ps[i][i];	ps[i][j]= exp(ps[i][j])*ps[i][i];
for(j=i+1; j<=nlstate+ndeath; j++)	for(j=i+1; j<=nlstate+ndeath; j++)
Line 1317 double pmij(double ps, double *cov,	Line 1529 double pmij(double ps, double *cov,
}	}
}	}


/* for(ii=1; ii<= nlstate+ndeath; ii++){ */	/* for(ii=1; ii<= nlstate+ndeath; ii++){ */
/* for(jj=1; jj<= nlstate+ndeath; jj++){ */	/* for(jj=1; jj<= nlstate+ndeath; jj++){ */
/* printf("ddd %lf ",ps[ii][jj]); */	/* printf(" pmij ps[%d][%d]=%lf ",ii,jj,ps[ii][jj]); */
/* } */	/* } */
/* printf("\n "); */	/* printf("\n "); */
/* } */	/* } */
/* printf("\n ");printf("%lf ",cov[2]); */	/* printf("\n ");printf("%lf ",cov[2]);*/
/*	/*
for(i=1; i<= npar; i++) printf("%f ",x[i]);	for(i=1; i<= npar; i++) printf("%f ",x[i]);
goto end;*/	goto end;*/
return ps;	return ps;
Line 1333 double pmij(double ps, double *cov,	Line 1545 double pmij(double ps, double *cov,

/************** Product of 2 matrices ****************/	/************** Product of 2 matrices ****************/

double matprod2(double out, double in,long nrl, long nrh, long ncl, long nch, long ncolol, long ncoloh, double b)	double matprod2(double out, double in,int nrl, int nrh, int ncl, int nch, int ncolol, int ncoloh, double b)
{	{
/* Computes the matrix product of in(1,nrh-nrl+1)(1,nch-ncl+1) times	/* Computes the matrix product of in(1,nrh-nrl+1)(1,nch-ncl+1) times
b(1,nch-ncl+1)(1,ncoloh-ncolol+1) into out(...) */	b(1,nch-ncl+1)(1,ncoloh-ncolol+1) into out(...) */
/* in, b, out are matrice of pointers which should have been initialized	/* in, b, out are matrice of pointers which should have been initialized
before: only the contents of out is modified. The function returns	before: only the contents of out is modified. The function returns
a pointer to pointers identical to out */	a pointer to pointers identical to out */
long i, j, k;	int i, j, k;
for(i=nrl; i<= nrh; i++)	for(i=nrl; i<= nrh; i++)
for(k=ncolol; k<=ncoloh; k++)	for(k=ncolol; k<=ncoloh; k++){
for(j=ncl,out[i][k]=0.; j<=nch; j++)	out[i][k]=0.;
out[i][k] +=in[i][j]*b[j][k];	for(j=ncl; j<=nch; j++)
	out[i][k] +=in[i][j]*b[j][k];
	}
return out;	return out;
}	}

Line 1387 double *hpxij(double *po, int nhstep	Line 1600 double *hpxij(double *po, int nhstep
cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];	cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];
for (k=1; k<=cptcovage;k++)	for (k=1; k<=cptcovage;k++)
cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];	cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
for (k=1; k<=cptcovprod;k++)	for (k=1; k<=cptcovprod;k++) /* Useless because included in cptcovn */
cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];	cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];


Line 1433 double func( double *x)	Line 1646 double func( double *x)

if(mle==1){	if(mle==1){
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];	/* Computes the values of the ncovmodel covariates of the model
	depending if the covariates are fixed or variying (age dependent) and stores them in cov[]
	Then computes with function pmij which return a matrix p[i][j] giving the elementary probability
	to be observed in j being in i according to the model.
	*/
	for (k=1; k<=cptcovn;k++){ /* Simple and product covariates without age* products */
	cov[2+k]=covar[Tvar[k]][i];
	}
	/* In model V2+V1V4+ageV3+V3V2 Tvar[1] is V2, Tvar[2=V1V4]
	is 6, Tvar[3=ageV3] should not be computed because of age Tvar[4=V3V2]
	has been calculated etc */
for(mi=1; mi<= wav[i]-1; mi++){	for(mi=1; mi<= wav[i]-1; mi++){
for (ii=1;ii<=nlstate+ndeath;ii++)	for (ii=1;ii<=nlstate+ndeath;ii++)
for (j=1;j<=nlstate+ndeath;j++){	for (j=1;j<=nlstate+ndeath;j++){
Line 1444 double func( double *x)	Line 1667 double func( double *x)
newm=savm;	newm=savm;
cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;	cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;
for (kk=1; kk<=cptcovage;kk++) {	for (kk=1; kk<=cptcovage;kk++) {
cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];	cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]cov[2]; / Tage[kk] gives the data-covariate associated with age */
}	}
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,	out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));	1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
Line 1698 double funcone( double *x)	Line 1921 double funcone( double *x)
for (kk=1; kk<=cptcovage;kk++) {	for (kk=1; kk<=cptcovage;kk++) {
cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];	cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
}	}
	/* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,	out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));	1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
	/* out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, */
	/* 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); */
savm=oldm;	savm=oldm;
oldm=newm;	oldm=newm;
} /* end mult */	} /* end mult */
Line 1733 double funcone( double *x)	Line 1959 double funcone( double *x)
ll[s[mw[mi][i]][i]] += 2weight[i]lli;	ll[s[mw[mi][i]][i]] += 2weight[i]lli;
/printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); /	/printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); /
if(globpr){	if(globpr){
fprintf(ficresilk,"%9d %6d %2d %2d %1d %1d %3d %11.6f %8.4f\	fprintf(ficresilk,"%9ld %6d %2d %2d %1d %1d %3d %11.6f %8.4f\
%11.6f %11.6f %11.6f ", \	%11.6f %11.6f %11.6f ", \
num[i],i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],	num[i],i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],
2weight[i]lli,out[s1][s2],savm[s1][s2]);	2weight[i]lli,out[s1][s2],savm[s1][s2]);
Line 1945 double hessii(double x[], double delta,	Line 2171 double hessii(double x[], double delta,

fx=func(x);	fx=func(x);
for (i=1;i<=npar;i++) p2[i]=x[i];	for (i=1;i<=npar;i++) p2[i]=x[i];
for(l=0 ; l <=lmax; l++){	for(l=0 ; l <=lmax; l++){ /* Enlarging the zone around the Maximum */
l1=pow(10,l);	l1=pow(10,l);
delts=delt;	delts=delt;
for(k=1 ; k <kmax; k=k+1){	for(k=1 ; k <kmax; k=k+1){
delt = delta(l1k);	delt = delta(l1k);
p2[theta]=x[theta] +delt;	p2[theta]=x[theta] +delt;
k1=func(p2)-fx;	k1=func(p2)-fx; /* Might be negative if too close to the theoretical maximum */
p2[theta]=x[theta]-delt;	p2[theta]=x[theta]-delt;
k2=func(p2)-fx;	k2=func(p2)-fx;
/res= (k1-2.0fx+k2)/delt/delt; */	/res= (k1-2.0fx+k2)/delt/delt; */
Line 2120 void freqsummary(char fileres[], int ia	Line 2346 void freqsummary(char fileres[], int ia

first=1;	first=1;

for(k1=1; k1<=j;k1++){	/* for(k1=1; k1<=j ; k1++){ /* Loop on covariates */
for(i1=1; i1<=ncodemax[k1];i1++){	/* for(i1=1; i1<=ncodemax[k1];i1++){ /* Now it is 2 */
j1++;	/* j1++;
	*/
	for (j1 = 1; j1 <= (int) pow(2,cptcoveff); j1++){
/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);	/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);
scanf("%d", i);*/	scanf("%d", i);*/
for (i=-5; i<=nlstate+ndeath; i++)	for (i=-5; i<=nlstate+ndeath; i++)
for (jk=-5; jk<=nlstate+ndeath; jk++)	for (jk=-5; jk<=nlstate+ndeath; jk++)
for(m=iagemin; m <= iagemax+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 (i=1; i<=nlstate; i++)
for(m=iagemin; m <= iagemax+3; m++)	for(m=iagemin; m <= iagemax+3; m++)
prop[i][m]=0;	prop[i][m]=0;

dateintsum=0;	dateintsum=0;
k2cpt=0;	k2cpt=0;
for (i=1; i<=imx; i++) {	for (i=1; i<=imx; i++) {
bool=1;	bool=1;
if (cptcovn>0) {	if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */
for (z1=1; z1<=cptcoveff; z1++)	for (z1=1; z1<=cptcoveff; z1++)
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]])	if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]){
bool=0;	/* Tests if the value of each of the covariates of i is equal to filter j1 */
	bool=0;
	/* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtab[%d][%d]=%d, nbcode[Tvaraff][codtab[%d][%d]=%d, j1=%d\n",
	bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtab[j1][z1],
	j1,z1,nbcode[Tvaraff[z1]][codtab[j1][z1]],j1);*/
	/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtab[7][3]=1 and nbcde[3][?]=1*/
	}
}	}

if (bool==1){	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.);
Line 2162 void freqsummary(char fileres[], int ia	Line 2397 void freqsummary(char fileres[], int ia
/}/	/}/
}	}
}	}
}	} /* end i */

/* 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);*/
pstamp(ficresp);	pstamp(ficresp);
Line 2170 void freqsummary(char fileres[], int ia	Line 2405 void freqsummary(char fileres[], int ia
fprintf(ficresp, "\n#********** Variable ");	fprintf(ficresp, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
fprintf(ficresp, "**********\n#");	fprintf(ficresp, "**********\n#");
	fprintf(ficlog, "\n#********** Variable ");
	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
	fprintf(ficlog, "**********\n#");
}	}
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);	fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);
Line 2246 void freqsummary(char fileres[], int ia	Line 2484 void freqsummary(char fileres[], int ia
printf("Others in log...\n");	printf("Others in log...\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
}	}
}	/}/
}	}
dateintmean=dateintsum/k2cpt;	dateintmean=dateintsum/k2cpt;

Line 2271 void prevalence(double ***probs, double	Line 2509 void prevalence(double ***probs, double
double pos,posprop;	double pos,posprop;
double y2; /* in fractional years */	double y2; /* in fractional years */
int iagemin, iagemax;	int iagemin, iagemax;
	int first; /** to stop verbosity which is redirected to log file */

iagemin= (int) agemin;	iagemin= (int) agemin;
iagemax= (int) agemax;	iagemax= (int) agemax;
Line 2279 void prevalence(double ***probs, double	Line 2518 void prevalence(double ***probs, double
/* freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/	/* freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/
j1=0;	j1=0;

j=cptcoveff;	/j=cptcoveff;/
if (cptcovn<1) {j=1;ncodemax[1]=1;}	if (cptcovn<1) {j=1;ncodemax[1]=1;}

for(k1=1; k1<=j;k1++){	first=1;
for(i1=1; i1<=ncodemax[k1];i1++){	for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){
j1++;	/*for(i1=1; i1<=ncodemax[k1];i1++){
	j1++;*/

for (i=1; i<=nlstate; i++)	for (i=1; i<=nlstate; i++)
for(m=iagemin; m <= iagemax+3; m++)	for(m=iagemin; m <= iagemax+3; m++)
Line 2314 void prevalence(double ***probs, double	Line 2554 void prevalence(double ***probs, double
}	}
}	}
for(i=iagemin; i <= iagemax+3; i++){	for(i=iagemin; i <= iagemax+3; i++){

for(jk=1,posprop=0; jk <=nlstate ; jk++) {	for(jk=1,posprop=0; jk <=nlstate ; jk++) {
posprop += prop[jk][i];	posprop += prop[jk][i];
}	}

for(jk=1; jk <=nlstate ; jk++){	for(jk=1; jk <=nlstate ; jk++){
if( i <= iagemax){	if( i <= iagemax){
if(posprop>=1.e-5){	if(posprop>=1.e-5){
probs[i][jk][j1]= prop[jk][i]/posprop;	probs[i][jk][j1]= prop[jk][i]/posprop;
} else	} else{
printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\n",jk,i,j1,probs[i][jk][j1]);	if(first==1){
	first=0;
	printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\nSee others on log file...\n",jk,i,j1,probs[i][jk][j1]);
	}
	}
}	}
}/* end jk */	}/* end jk */
}/* end i */	}/* end i */
} /* end i1 */	/} //* end i1 */
} /* end k1 */	} /* end j1 */

/* free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/	/* free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/
/free_vector(pp,1,nlstate);/	/free_vector(pp,1,nlstate);/
Line 2475 void concatwav(int wav[], int **dh, int	Line 2718 void concatwav(int wav[], int **dh, int
}	}
jmean=sum/k;	jmean=sum/k;
printf("Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f\n\n ",jmin, num[ijmin], jmax, num[ijmax], jmean);	printf("Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f\n\n ",jmin, num[ijmin], jmax, num[ijmax], jmean);
fprintf(ficlog,"Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f\n\n ",jmin, ijmin, jmax, ijmax, jmean);	fprintf(ficlog,"Delay (in months) between two waves Min=%d (for indiviudal %d) Max=%d (%d) Mean=%f\n\n ",jmin, ijmin, jmax, ijmax, jmean);
}	}

/********* Tricode **************************/	/********* Tricode **************************/
void tricode(int Tvar, int *nbcode, int imx)	void tricode(int Tvar, int nbcode, int imx, int Ndum)
{	{
/* Uses cptcovn+2cptcovprod as the number of covariates /	/*< Uses cptcovn+2cptcovprod as the number of covariates */
/* Tvar[i]=atoi(stre); /* find 'n' in Vn and stores in Tvar. If model=V2+V1 Tvar[1]=2 and Tvar[2]=1 */	/* Tvar[i]=atoi(stre); find 'n' in Vn and stores in Tvar. If model=V2+V1 Tvar[1]=2 and Tvar[2]=1
	/* Boring subroutine which should only output nbcode[Tvar[j]][k]
	* Tvar[5] in V2+V1+V3age+V2V4 is 2 (V2)
	/* nbcode[Tvar[j]][1]=
	*/

int Ndum[20],ij=1, k=0, j=0, i=0, maxncov=NCOVMAX;	int ij=1, k=0, j=0, i=0, maxncov=NCOVMAX;
int modmaxcovj=0; /* Modality max of covariates j */	int modmaxcovj=0; /* Modality max of covariates j */
	int cptcode=0; /* Modality max of covariates j */
	int modmincovj=0; /* Modality min of covariates j */


cptcoveff=0;	cptcoveff=0;

for (k=0; k<maxncov; k++) Ndum[k]=0;	for (k=-1; k < maxncov; k++) Ndum[k]=0;
for (k=1; k<=7; k++) ncodemax[k]=0; /* Horrible constant again */	for (k=1; k <= maxncov; k++) ncodemax[k]=0; /* Horrible constant again replaced by NCOVMAX */

for (j=1; j<=(cptcovn+2cptcovprod); j++) { / For each covariate j */	/* Loop on covariates without age and products */
for (i=1; i<=imx; i++) { /*reads the data file to get the maximum value of the	for (j=1; j<=(cptcovs); j++) { /* model V1 + V2age+ V3 + V3V4 : V1 + V3 = 2 only */
	for (i=1; i<=imx; i++) { /* Lopp on individuals: reads the data file to get the maximum value of the
modality of this covariate Vj*/	modality of this covariate Vj*/
ij=(int)(covar[Tvar[j]][i]); /* ij=0 or 1 or -1. Finds for covariate j, n=Tvar[j] of Vn . ij is the	ij=(int)(covar[Tvar[j]][i]); /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i
	* If product of VnVm, still boolean :
	* If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables
	* 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0 */
	/* Finds for covariate j, n=Tvar[j] of Vn . ij is the
modality of the nth covariate of individual i. */	modality of the nth covariate of individual i. */
	if (ij > modmaxcovj)
	modmaxcovj=ij;
	else if (ij < modmincovj)
	modmincovj=ij;
	if ((ij < -1) && (ij > NCOVMAX)){
	printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX );
	exit(1);
	}else
Ndum[ij]++; /counts and stores the occurence of this modality 0, 1, -1/	Ndum[ij]++; /counts and stores the occurence of this modality 0, 1, -1/
	/* If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */
/printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);/	/printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);/
if (ij > modmaxcovj) modmaxcovj=ij;
/* getting the maximum value of the modality of the covariate	/* getting the maximum value of the modality of the covariate
(should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and	(should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and
female is 1, then modmaxcovj=1.*/	female is 1, then modmaxcovj=1.*/
}	}
	printf(" Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", j, Tvar[j], modmincovj, modmaxcovj);
for (i=0; i<=modmaxcovj; i++) { /* i=-1 ? 0 and 1*/	cptcode=modmaxcovj;
if( Ndum[i] != 0 )	/* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */
ncodemax[j]++;	/for (i=0; i<=cptcode; i++) {/
/* Number of modalities of the j th covariate. In fact	for (i=modmincovj; i<=modmaxcovj; i++) { /* i=-1 ? 0 and 1// For each value of the modality of model-cov j */
ncodemax[j]=2 (dichotom. variables only) but it could be more for	printf("Frequencies of covariates %d V%d %d\n", j, Tvar[j], Ndum[i]);
historical reasons */	if( Ndum[i] != 0 ){ /* Counts if nobody answered, empty modality */
	ncodemax[j]++; /* ncodemax[j]= Number of non-null modalities of the j th covariate. */
	}
	/* In fact ncodemax[j]=2 (dichotom. variables only) but it could be more for
	historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */
} /* Ndum[-1] number of undefined modalities */	} /* Ndum[-1] number of undefined modalities */

/* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */	/* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */
ij=1;	/* For covariate j, modalities could be 1, 2, 3, 4. If Ndum[2]=0 ncodemax[j] is not 4 but 3 */
for (i=1; i<=ncodemax[j]; i++) { /* i= 1 to 2 for dichotomous */	/* If Ndum[3}= 635; Ndum[4]=0; Ndum[5]=0; Ndum[6]=27; Ndum[7]=125;
for (k=0; k<= maxncov; k++) { /* k=-1 ? NCOVMAX*/	modmincovj=3; modmaxcovj = 7;
	There are only 3 modalities non empty (or 2 if 27 is too few) : ncodemax[j]=3;
	which will be coded 0, 1, 2 which in binary on 3-1 digits are 0=00 1=01, 2=10; defining two dummy
	variables V1_1 and V1_2.
	nbcode[Tvar[j]][ij]=k;
	nbcode[Tvar[j]][1]=0;
	nbcode[Tvar[j]][2]=1;
	nbcode[Tvar[j]][3]=2;
	*/
	ij=1; /* ij is similar to i but can jumps over null modalities */
	for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 */
	for (k=0; k<= cptcode; k++) { /* k=-1 ? k=0 to 1 // Could be 1 to 4 */
	/recode from 0 /
if (Ndum[k] != 0) { /* If at least one individual responded to this modality k */	if (Ndum[k] != 0) { /* If at least one individual responded to this modality k */
nbcode[Tvar[j]][ij]=k; /* stores the modality in an array nbcode.	nbcode[Tvar[j]][ij]=k; /* stores the modality in an array nbcode.
k is a modality. If we have model=V1+V1*sex	k is a modality. If we have model=V1+V1*sex
Line 2523 void tricode(int Tvar, int *nbcode, in	Line 2803 void tricode(int Tvar, int *nbcode, in
ij++;	ij++;
}	}
if (ij > ncodemax[j]) break;	if (ij > ncodemax[j]) break;
}	} /* end of loop on */
}	} /* end of loop on modality */
}	} /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/

for (k=0; k< maxncov; k++) Ndum[k]=0;	for (k=-1; k< maxncov; k++) Ndum[k]=0;

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

ij=1;	ij=1;
for (i=1; i<= maxncov; i++) {	for (i=0; i<= maxncov-1; i++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(ageV3), 5(V3V2) 6(V1V4) /
	/printf("Ndum[%d]=%d\n",i, Ndum[i]);/
if((Ndum[i]!=0) && (i<=ncovcol)){	if((Ndum[i]!=0) && (i<=ncovcol)){
Tvaraff[ij]=i; /For printing /	/printf("diff Ndum[%d]=%d\n",i, Ndum[i]);/
	Tvaraff[ij]=i; /For printing (unclear) /
ij++;	ij++;
}	}else
	Tvaraff[ij]=0;
}	}
ij--;	ij--;
cptcoveff=ij; /Number of simple covariates/	cptcoveff=ij; /Number of total covariates/

}	}


/********* Health Expectancies **************/	/********* Health Expectancies **************/

void evsij(double *eij, double x[], int nlstate, int stepm, int bage, int fage, double oldm, double **savm, int cij, int estepm,char strstart[] )	void evsij(double *eij, double x[], int nlstate, int stepm, int bage, int fage, double oldm, double **savm, int cij, int estepm,char strstart[] )
Line 3141 void varevsij(char optionfilefiname[], d	Line 3426 void varevsij(char optionfilefiname[], d
free_vector(gmp,nlstate+1,nlstate+ndeath);	free_vector(gmp,nlstate+1,nlstate+ndeath);
free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath);	free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath);
free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/	free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/
fprintf(ficgp,"\nunset parametric;unset label; set ter png small;set size 0.65, 0.65");	fprintf(ficgp,"\nunset parametric;unset label; set ter png small size 320, 240");
/* for(j=nlstate+1; j<= nlstate+ndeath; j++){ // Only the first actually */	/* for(j=nlstate+1; j<= nlstate+ndeath; j++){ // Only the first actually */
fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");	fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");
/* fprintf(ficgp,"\n plot \"%s\" u 1:($3%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); /	/* fprintf(ficgp,"\n plot \"%s\" u 1:($3%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); /
/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96$4)%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */	/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96$4)%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */
/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96$4)%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */	/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96$4)%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */
fprintf(ficgp,"\n plot \"%s\" u 1:($3) not w l 1 ",subdirf(fileresprobmorprev));	fprintf(ficgp,"\n plot \"%s\" u 1:($3) not w l lt 1 ",subdirf(fileresprobmorprev));
fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95\%% interval\" w l 2 ",subdirf(fileresprobmorprev));	fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95\%% interval\" w l lt 2 ",subdirf(fileresprobmorprev));
fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l 2 ",subdirf(fileresprobmorprev));	fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l lt 2 ",subdirf(fileresprobmorprev));
fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));	fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));
fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.png\"> <br>\n", estepm,subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);	fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.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);
Line 3259 void varprob(char optionfilefiname[], do	Line 3544 void varprob(char optionfilefiname[], do
int i, j=0, i1, k1, l1, t, tj;	int i, j=0, i1, k1, l1, t, tj;
int k2, l2, j1, z1;	int k2, l2, j1, z1;
int k=0,l, cptcode;	int k=0,l, cptcode;
int first=1, first1;	int first=1, first1, first2;
double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;	double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;
double dnewm,doldm;	double dnewm,doldm;
double *xp;	double *xp;
double gp, gm;	double gp, gm;
double gradg, trgradg;	double gradg, trgradg;
double **mu;	double **mu;
double age,agelim, cov[NCOVMAX];	double age,agelim, cov[NCOVMAX+1];
double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */	double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */
int theta;	int theta;
char fileresprob[FILENAMELENGTH];	char fileresprob[FILENAMELENGTH];
char fileresprobcov[FILENAMELENGTH];	char fileresprobcov[FILENAMELENGTH];
char fileresprobcor[FILENAMELENGTH];	char fileresprobcor[FILENAMELENGTH];

double ***varpij;	double ***varpij;

strcpy(fileresprob,"prob");	strcpy(fileresprob,"prob");
Line 3345 standard deviations wide on each axis. <	Line 3629 standard deviations wide on each axis. <
To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.<br> \n");	To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.<br> \n");

cov[1]=1;	cov[1]=1;
tj=cptcoveff;	/* tj=cptcoveff; */
	tj = (int) pow(2,cptcoveff);
if (cptcovn<1) {tj=1;ncodemax[1]=1;}	if (cptcovn<1) {tj=1;ncodemax[1]=1;}
j1=0;	j1=0;
for(t=1; t<=tj;t++){	for(j1=1; j1<=tj;j1++){
for(i1=1; i1<=ncodemax[t];i1++){	/for(i1=1; i1<=ncodemax[t];i1++){ /
j1++;	/j1++;/
if (cptcovn>0) {	if (cptcovn>0) {
fprintf(ficresprob, "\n#********** Variable ");	fprintf(ficresprob, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);
Line 3373 To be simple, these graphs help to under	Line 3658 To be simple, these graphs help to under
fprintf(ficresprobcor, "**********\n#");	fprintf(ficresprobcor, "**********\n#");
}	}

	gradg=matrix(1,npar,1,(nlstate)*(nlstate+ndeath));
	trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
	gp=vector(1,(nlstate)*(nlstate+ndeath));
	gm=vector(1,(nlstate)*(nlstate+ndeath));
for (age=bage; age<=fage; age ++){	for (age=bage; age<=fage; age ++){
cov[2]=age;	cov[2]=age;
for (k=1; k<=cptcovn;k++) {	for (k=1; k<=cptcovn;k++) {
cov[2+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]];	cov[2+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]];/* j1 1 2 3 4
	* 1 1 1 1 1
	* 2 2 1 1 1
	* 3 1 2 1 1
	*/
	/* nbcode[1][1]=0 nbcode[1][2]=1;*/
}	}
for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];	for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];
for (k=1; k<=cptcovprod;k++)	for (k=1; k<=cptcovprod;k++)
cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];	cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];

gradg=matrix(1,npar,1,(nlstate)*(nlstate+ndeath));
trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
gp=vector(1,(nlstate)*(nlstate+ndeath));
gm=vector(1,(nlstate)*(nlstate+ndeath));

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 3423 To be simple, these graphs help to under	Line 3713 To be simple, these graphs help to under

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

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

Line 3460 To be simple, these graphs help to under	Line 3746 To be simple, these graphs help to under
i=0;	i=0;
for (k=1; k<=(nlstate);k++){	for (k=1; k<=(nlstate);k++){
for (l=1; l<=(nlstate+ndeath);l++){	for (l=1; l<=(nlstate+ndeath);l++){
i=i++;	i++;
fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l);	fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l);
fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l);	fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l);
for (j=1; j<=i;j++){	for (j=1; j<=i;j++){
	/* printf(" k=%d l=%d i=%d j=%d\n",k,l,i,j);fflush(stdout); */
fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]);	fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]);
fprintf(ficresprobcor," %11.3e",varpij[i][j][(int) age]/sqrt(varpij[i][i][(int) age])/sqrt(varpij[j][j][(int)age]));	fprintf(ficresprobcor," %11.3e",varpij[i][j][(int) age]/sqrt(varpij[i][i][(int) age])/sqrt(varpij[j][j][(int)age]));
}	}
}	}
}/* end of loop for state */	}/* end of loop for state */
} /* end of loop for age */	} /* end of loop for age */
	free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath));
	free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath));
	free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
	free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);

/* Confidence intervalle of pij */	/* Confidence intervalle of pij */
/*	/*
fprintf(ficgp,"\nunset parametric;unset label");	fprintf(ficgp,"\nunset parametric;unset label");
Line 3483 To be simple, these graphs help to under	Line 3774 To be simple, these graphs help to under
*/	*/

/* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/	/* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/
first1=1;	first1=1;first2=2;
for (k2=1; k2<=(nlstate);k2++){	for (k2=1; k2<=(nlstate);k2++){
for (l2=1; l2<=(nlstate+ndeath);l2++){	for (l2=1; l2<=(nlstate+ndeath);l2++){
if(l2==k2) continue;	if(l2==k2) continue;
Line 3505 To be simple, these graphs help to under	Line 3796 To be simple, these graphs help to under
lc1=((v1+v2)+sqrt((v1+v2)(v1+v2) - 4(v1v2-cv12cv12)))/2.;	lc1=((v1+v2)+sqrt((v1+v2)(v1+v2) - 4(v1v2-cv12cv12)))/2.;
lc2=((v1+v2)-sqrt((v1+v2)(v1+v2) - 4(v1v2-cv12cv12)))/2.;	lc2=((v1+v2)-sqrt((v1+v2)(v1+v2) - 4(v1v2-cv12cv12)))/2.;
if ((lc2 <0) \|\| (lc1 <0) ){	if ((lc2 <0) \|\| (lc1 <0) ){
printf("Error: One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Continuing by making them positive: WRONG RESULTS.\n", lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);	if(first2==1){
fprintf(ficlog,"Error: One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e\n", lc1, lc2, v1, v2, cv12);fflush(ficlog);	first1=0;
lc1=fabs(lc1);	printf("Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS. See log file for details...\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);
lc2=fabs(lc2);	}
	fprintf(ficlog,"Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS.\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);fflush(ficlog);
	/* lc1=fabs(lc1); / / If we want to have them positive */
	/* lc2=fabs(lc2); */
}	}

/* Eigen vectors */	/* Eigen vectors */
Line 3530 To be simple, these graphs help to under	Line 3824 To be simple, these graphs help to under
first=0;	first=0;
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 size 320, 240");
fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\	fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\
:<a href=\"%s%d%1d%1d-%1d%1d.png\">\	:<a href=\"%s%d%1d%1d-%1d%1d.png\">\
%s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,\	%s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,\
Line 3561 To be simple, these graphs help to under	Line 3855 To be simple, these graphs help to under
} /* k12 */	} /* k12 */
} /l1 /	} /l1 /
}/* k1 */	}/* k1 */
} /* loop covariates */	/* } /* loop covariates */
}	}
free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);	free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);
free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);	free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);
Line 3607 void printinghtml(char fileres[], char t	Line 3901 void printinghtml(char fileres[], char t

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

m=cptcoveff;	m=pow(2,cptcoveff);
if (cptcovn < 1) {m=1;ncodemax[1]=1;}	if (cptcovn < 1) {m=1;ncodemax[1]=1;}

jj1=0;	jj1=0;
Line 3621 fprintf(fichtm," \n<ul><li><b>Graphs</b>	Line 3915 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: <a href=\"%s%d1.png\">%s%d1.png</a><br> \	fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s%d_1.png\">%s%d_1.png</a><br> \
<img src=\"%s%d1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);	<img src=\"%s%d_1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);
/* Quasi-incidences */	/* Quasi-incidences */
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\	fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\
before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: <a href=\"%s%d2.png\">%s%d2.png</a><br> \	before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: <a href=\"%s%d_2.png\">%s%d_2.png</a><br> \
<img src=\"%s%d2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);	<img src=\"%s%d_2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);
/* Period (stable) prevalence in each health state */	/* Period (stable) prevalence in each health state */
for(cpt=1; cpt<nlstate;cpt++){	for(cpt=1; cpt<=nlstate;cpt++){
fprintf(fichtm,"<br>- Period (stable) prevalence in each health state : <a href=\"%s%d%d.png\">%s%d%d.png</a><br> \	fprintf(fichtm,"<br>- Convergence from each state (1 to %d) to period (stable) prevalence in state %d <a href=\"%s%d_%d.png\">%s%d_%d.png</a><br> \
<img src=\"%s%d%d.png\">",subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1);	<img src=\"%s%d_%d.png\">",nlstate, cpt, subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1);
}	}
for(cpt=1; cpt<=nlstate;cpt++) {	for(cpt=1; cpt<=nlstate;cpt++) {
fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies : <a href=\"%s%d%d.png\">%s%d%d.png</a> <br> \	fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) : <a href=\"%s%d%d.png\">%s%d%d.png</a> <br> \
<img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);	<img src=\"%s%d%d.png\">",cpt,nlstate,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);
}	}
} /* end i1 */	} /* end i1 */
}/* End k1 */	}/* End k1 */
Line 3681 fprintf(fichtm," \n<ul><li><b>Graphs</b>	Line 3975 fprintf(fichtm," \n<ul><li><b>Graphs</b>
fflush(fichtm);	fflush(fichtm);
fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");	fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");

m=cptcoveff;	m=pow(2,cptcoveff);
if (cptcovn < 1) {m=1;ncodemax[1]=1;}	if (cptcovn < 1) {m=1;ncodemax[1]=1;}

jj1=0;	jj1=0;
Line 3696 fprintf(fichtm," \n<ul><li><b>Graphs</b>	Line 3990 fprintf(fichtm," \n<ul><li><b>Graphs</b>
}	}
for(cpt=1; cpt<=nlstate;cpt++) {	for(cpt=1; cpt<=nlstate;cpt++) {
fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \	fprintf(fichtm,"<br>- Observed (cross-sectional) and period (incidence based) \
prevalence (with 95%% confidence interval) in state (%d): %s%d%d.png <br>\	prevalence (with 95%% confidence interval) in state (%d): %s%d_%d.png <br>\
<img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"v"),cpt,jj1,subdirf2(optionfilefiname,"v"),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 \	fprintf(fichtm,"\n<br>- Total life expectancy by age and \
health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \	health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \
Line 3730 void printinggnuplot(char fileres[], cha	Line 4024 void printinggnuplot(char fileres[], cha
strcpy(dirfileres,optionfilefiname);	strcpy(dirfileres,optionfilefiname);
strcpy(optfileres,"vpl");	strcpy(optfileres,"vpl");
/* 1eme*/	/* 1eme*/
	fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'vpl' files\n");
for (cpt=1; cpt<= nlstate ; cpt ++) {	for (cpt=1; cpt<= nlstate ; cpt ++) {
for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) { /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */
fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"v"),cpt,k1);	fprintf(ficgp,"\nset out \"%s%d_%d.png\" \n",subdirf2(optionfilefiname,"v"),cpt,k1);
fprintf(ficgp,"\n#set out \"v%s%d%d.png\" \n",optionfilefiname,cpt,k1);	fprintf(ficgp,"\n#set out \"v%s%d_%d.png\" \n",optionfilefiname,cpt,k1);
fprintf(ficgp,"set xlabel \"Age\" \n\	fprintf(ficgp,"set xlabel \"Age\" \n\
set ylabel \"Probability\" \n\	set ylabel \"Probability\" \n\
set ter png small\n\	set ter png small size 320, 240\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);	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\"Period (stable) prevalence\" w l 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);	fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",subdirf2(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,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);	fprintf(ficgp,"\" t\"95\%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);
for (i=1; i<= nlstate ; i ++) {	for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");	if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," \%%lf (\%%lf)");
}	}
fprintf(ficgp,"\" t\"\" w l 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1));	fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l lt 2",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1));
}	}
}	}
/2 eme/	/2 eme/
	fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files\n");
for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) {
fprintf(ficgp,"\nset out \"%s%d.png\" \n",subdirf2(optionfilefiname,"e"),k1);	fprintf(ficgp,"\nset out \"%s%d.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 size 320, 240\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;
Line 3777 plot [%.f:%.f] \"%s\" every :::%d::%d u	Line 4071 plot [%.f:%.f] \"%s\" every :::%d::%d u
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 lt 0,");
fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",subdirf2(fileres,"t"),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)");
}	}
if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l 0");	if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0");
else fprintf(ficgp,"\" t\"\" w l 0,");	else fprintf(ficgp,"\" t\"\" w l lt 0,");
}	}
}	}

Line 3795 plot [%.f:%.f] \"%s\" every :::%d::%d u	Line 4089 plot [%.f:%.f] \"%s\" every :::%d::%d u
/* k=2+nlstate(2cpt-2); */	/* k=2+nlstate(2cpt-2); */
k=2+(nlstate+1)*(cpt-1);	k=2+(nlstate+1)*(cpt-1);
fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1);	fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1);
fprintf(ficgp,"set ter png small\n\	fprintf(ficgp,"set ter png small size 320, 240\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);	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) ");
Line 3816 plot [%.f:%.f] \"%s\" every :::%d::%d u	Line 4109 plot [%.f:%.f] \"%s\" every :::%d::%d u
}	}

/* CV preval stable (period) */	/* CV preval stable (period) */
for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) { /* For each multivariate if any */
for (cpt=1; cpt<=nlstate ; cpt ++) {	for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
k=3;	k=3;
fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"p"),cpt,k1);	fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, cov=%d state=%d",k1, cpt);
	fprintf(ficgp,"\nset out \"%s%d_%d.png\" \n",subdirf2(optionfilefiname,"p"),cpt,k1);
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\	fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\
set ter png small\nset size 0.65,0.65\n\	set ter png small size 320, 240\n\
unset log y\n\	unset log y\n\
plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1/0):($%d/($%d",ageminpar,agemaxpar,subdirf2(fileres,"pij"),k1,k+cpt+1,k+1);	plot [%.f:%.f] ", ageminpar, agemaxpar);
	for (i=1; i<= nlstate ; i ++){
for (i=1; i< nlstate ; i ++)	if(i==1)
fprintf(ficgp,"+$%d",k+i+1);	fprintf(ficgp,"\"%s\"",subdirf2(fileres,"pij"));
fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);	else
	fprintf(ficgp,", '' ");
l=3+(nlstate+ndeath)*cpt;	l=(nlstate+ndeath)*(i-1)+1;
fprintf(ficgp,",\"%s\" u ($1==%d ? ($3):1/0):($%d/($%d",subdirf2(fileres,"pij"),k1,l+cpt+1,l+1);	fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l);
for (i=1; i< nlstate ; i ++) {	for (j=1; j<= (nlstate-1) ; j ++)
l=3+(nlstate+ndeath)*cpt;	fprintf(ficgp,"+$%d",k+l+j);
fprintf(ficgp,"+$%d",l+i+1);	fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt);
}	} /* nlstate */
fprintf(ficgp,")) t\"prev(%d,%d)\" w l\n",cpt+1,cpt+1);	fprintf(ficgp,"\n");
}	} /* end cpt state*/
}	} /* end covariate */

/* proba elementaires */	/* proba elementaires */
for(i=1,jk=1; i <=nlstate; i++){	for(i=1,jk=1; i <=nlstate; i++){
Line 3851 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1	Line 4145 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1
}	}
}	}
}	}
	/goto avoid;/
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 \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"pe"),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
fprintf(ficgp,"\nset title \"Probability\"\n");	fprintf(ficgp,"\nset title \"Probability\"\n");
fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65\nset log y\nplot [%.f:%.f] ",ageminpar,agemaxpar);	fprintf(ficgp,"\nset ter png small size 320, 240\nset log y\nplot [%.f:%.f] ",ageminpar,agemaxpar);
i=1;	i=1;
for(k2=1; k2<=nlstate; k2++) {	for(k2=1; k2<=nlstate; k2++) {
k3=i;	k3=i;
Line 3869 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1	Line 4163 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1
fprintf(ficgp," %fexp(p%d+p%dx",YEARM/stepm,i,i+1);	fprintf(ficgp," %fexp(p%d+p%dx",YEARM/stepm,i,i+1);
else	else
fprintf(ficgp," exp(p%d+p%d*x",i,i+1);	fprintf(ficgp," exp(p%d+p%d*x",i,i+1);
ij=1;	ij=1;/* To be checked else nbcode[0][0] wrong */
for(j=3; j <=ncovmodel; j++) {	for(j=3; j <=ncovmodel; j++) {
if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {	/* if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { /\* Bug valgrind \/ /
fprintf(ficgp,"+p%d%dx",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);	/* /\fprintf(ficgp,"+p%d%dx",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);\/ */
ij++;	/* ij++; */
}	/* } */
else	/* else */
fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);	fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
}	}
fprintf(ficgp,")/(1");	fprintf(ficgp,")/(1");
Line 3884 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1	Line 4178 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1
fprintf(ficgp,"+exp(p%d+p%dx",k3+(k1-1)ncovmodel,k3+(k1-1)*ncovmodel+1);	fprintf(ficgp,"+exp(p%d+p%dx",k3+(k1-1)ncovmodel,k3+(k1-1)*ncovmodel+1);
ij=1;	ij=1;
for(j=3; j <=ncovmodel; j++){	for(j=3; j <=ncovmodel; j++){
if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {	/* if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { */
fprintf(ficgp,"+p%d%dx",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);	/* fprintf(ficgp,"+p%d%dx",k3+(k1-1)ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]); /
ij++;	/* ij++; */
}	/* } */
else	/* else */
fprintf(ficgp,"+p%d%d",k3+(k1-1)ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);	fprintf(ficgp,"+p%d%d",k3+(k1-1)ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
}	}
fprintf(ficgp,")");	fprintf(ficgp,")");
Line 3901 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1	Line 4195 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1
} /* end k2 */	} /* end k2 */
} /* end jk */	} /* end jk */
} /* end ng */	} /* end ng */
	avoid:
fflush(ficgp);	fflush(ficgp);
} /* end gnuplot */	} /* end gnuplot */

Line 4484 void printinggnuplotmort(char fileres[],	Line 4779 void printinggnuplotmort(char fileres[],
strcpy(optfileres,"vpl");	strcpy(optfileres,"vpl");
fprintf(ficgp,"set out \"graphmort.png\"\n ");	fprintf(ficgp,"set out \"graphmort.png\"\n ");
fprintf(ficgp,"set xlabel \"Age\"\n set ylabel \"Force of mortality (per year)\" \n ");	fprintf(ficgp,"set xlabel \"Age\"\n set ylabel \"Force of mortality (per year)\" \n ");
fprintf(ficgp, "set ter png small\n set log y\n");	fprintf(ficgp, "set ter png small size 320, 240\n set log y\n");
fprintf(ficgp, "set size 0.65,0.65\n");	/* fprintf(ficgp, "set size 0.65,0.65\n"); */
fprintf(ficgp,"plot [%d:100] %lfexp(%lf(x-%d))",agegomp,p[1],p[2],agegomp);	fprintf(ficgp,"plot [%d:100] %lfexp(%lf(x-%d))",agegomp,p[1],p[2],agegomp);

}	}
Line 4533 int readdata(char datafile[], int firsto	Line 4828 int readdata(char datafile[], int firsto


for (j=maxwav;j>=1;j--){	for (j=maxwav;j>=1;j--){
cutv(stra, strb,line,' ');	cutv(stra, strb, line, ' ');
if(strb[0]=='.') { /* Missing status */	if(strb[0]=='.') { /* Missing status */
lval=-1;	lval=-1;
}else{	}else{
Line 4541 int readdata(char datafile[], int firsto	Line 4836 int readdata(char datafile[], int firsto
lval=strtol(strb,&endptr,10);	lval=strtol(strb,&endptr,10);
/* if (errno == ERANGE && (lval == LONG_MAX \|\| lval == LONG_MIN))*/	/* if (errno == ERANGE && (lval == LONG_MAX \|\| lval == LONG_MIN))*/
if( strb[0]=='\0' \|\| (*endptr != '\0')){	if( strb[0]=='\0' \|\| (*endptr != '\0')){
printf("Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);	printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);
fprintf(ficlog,"Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog);	fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog);
return 1;	return 1;
}	}
}	}
Line 4552 int readdata(char datafile[], int firsto	Line 4847 int readdata(char datafile[], int firsto
cutv(stra, strb,line,' ');	cutv(stra, strb,line,' ');
if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){	if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
}	}
else if(iout=sscanf(strb,"%s.") != 0){	else if(iout=sscanf(strb,"%s.",dummy) != 0){
month=99;	month=99;
year=9999;	year=9999;
}else{	}else{
printf("Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);	printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);
fprintf(ficlog,"Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);fflush(ficlog);	fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);fflush(ficlog);
return 1;	return 1;
}	}
anint[j][i]= (double) year;	anint[j][i]= (double) year;
Line 4572 int readdata(char datafile[], int firsto	Line 4867 int readdata(char datafile[], int firsto
month=99;	month=99;
year=9999;	year=9999;
}else{	}else{
printf("Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);	printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);
fprintf(ficlog,"Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog);	fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog);
return 1;	return 1;
}	}
andc[i]=(double) year;	andc[i]=(double) year;
Line 4583 int readdata(char datafile[], int firsto	Line 4878 int readdata(char datafile[], int firsto
cutv(stra, strb,line,' ');	cutv(stra, strb,line,' ');
if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){	if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){
}	}
else if(iout=sscanf(strb,"%s.") != 0){	else if(iout=sscanf(strb,"%s.", dummy) != 0){
month=99;	month=99;
year=9999;	year=9999;
}else{	}else{
printf("Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);	printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);
fprintf(ficlog,"Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog);	fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog);
return 1;	return 1;
}	}
if (year==9999) {	if (year==9999) {
printf("Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);	printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);
fprintf(ficlog,"Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);fflush(ficlog);	fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);fflush(ficlog);
return 1;	return 1;

}	}
Line 4605 int readdata(char datafile[], int firsto	Line 4900 int readdata(char datafile[], int firsto
errno=0;	errno=0;
dval=strtod(strb,&endptr);	dval=strtod(strb,&endptr);
if( strb[0]=='\0' \|\| (*endptr != '\0')){	if( strb[0]=='\0' \|\| (*endptr != '\0')){
printf("Error reading data around '%f' at line number %ld, \"%s\" for individual %d\nShould be a weight. Exiting.\n",dval, i,line,linei);	printf("Error reading data around '%f' at line number %d, \"%s\" for individual %d\nShould be a weight. Exiting.\n",dval, i,line,linei);
fprintf(ficlog,"Error reading data around '%f' at line number %ld, \"%s\" for individual %d\nShould be a weight. Exiting.\n",dval, i,line,linei);	fprintf(ficlog,"Error reading data around '%f' at line number %d, \"%s\" for individual %d\nShould be a weight. Exiting.\n",dval, i,line,linei);
fflush(ficlog);	fflush(ficlog);
return 1;	return 1;
}	}
Line 4621 int readdata(char datafile[], int firsto	Line 4916 int readdata(char datafile[], int firsto
errno=0;	errno=0;
lval=strtol(strb,&endptr,10);	lval=strtol(strb,&endptr,10);
if( strb[0]=='\0' \|\| (*endptr != '\0')){	if( strb[0]=='\0' \|\| (*endptr != '\0')){
printf("Error reading data around '%d' at line number %ld for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);	printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);
fprintf(ficlog,"Error reading data around '%d' at line number %ld for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);fflush(ficlog);	fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);fflush(ficlog);
return 1;	return 1;
}	}
}	}
if(lval <-1 \|\| lval >1){	if(lval <-1 \|\| lval >1){
printf("Error reading data around '%d' at line number %ld for individual %d, '%s'\n \	printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \
Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \	Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \
for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \	for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \
For example, for multinomial values like 1, 2 and 3,\n \	For example, for multinomial values like 1, 2 and 3,\n \
Line 4636 int readdata(char datafile[], int firsto	Line 4931 int readdata(char datafile[], int firsto
and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \	and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \
output of IMaCh is often meaningless.\n \	output of IMaCh is often meaningless.\n \
Exiting.\n",lval,linei, i,line,j);	Exiting.\n",lval,linei, i,line,j);
fprintf(ficlog,"Error reading data around '%d' at line number %ld for individual %d, '%s'\n \	fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \
Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \	Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \
for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \	for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \
For example, for multinomial values like 1, 2 and 3,\n \	For example, for multinomial values like 1, 2 and 3,\n \
Line 4676 int readdata(char datafile[], int firsto	Line 4971 int readdata(char datafile[], int firsto


}	}
	void removespace(char *str) {
int decodemodel ( char model[], int lastobs)	char p1 = str, p2 = str;
	do
	while (*p2 == ' ')
	p2++;
	while (p1++ = p2++);
	}

	int decodemodel ( char model[], int lastobs) /**< This routine decode the model and returns:
	* Model V1+V2+V3+V8+V7V8+V5V6+V8age+V3age
	* - cptcovt total number of covariates of the model nbocc(+)+1 = 8
	* - cptcovn or number of covariates k of the models excluding age*products =6
	* - cptcovage number of covariates with age*products =2
	* - cptcovs number of simple covariates
	* - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10
	* which is a new column after the 9 (ncovcol) variables.
	* - if k is a product Vn*Vm covar[k][i] is filled with correct values for each individual
	* - Tprod[l] gives the kth covariates of the product Vn*Vm l=1 to cptcovprod-cptcovage
	* Tprod[1]@2 {5, 6}: position of first product V7V8 is 5, and second V5V6 is 6.
	* - Tvard[k] p Tvard[1][1]@4 {7, 8, 5, 6} for V7V8 and V5V6 .
	*/
{	{
int i, j, k;	int i, j, k, ks;
int i1, j1, k1, k2;	int i1, j1, k1, k2;
char modelsav[80];	char modelsav[80];
char stra[80], strb[80], strc[80], strd[80],stre[80];	char stra[80], strb[80], strc[80], strd[80],stre[80];

	/removespace(model);/
if (strlen(model) >1){ /* If there is at least 1 covariate */	if (strlen(model) >1){ /* If there is at least 1 covariate */
j=0, j1=0, k1=1, k2=1;	j=0, j1=0, k1=0, k2=-1, ks=0, cptcovn=0;
j=nbocc(model,'+'); /* j=Number of '+' */	j=nbocc(model,'+'); /*< j=Number of '+' /
j1=nbocc(model,''); / j1=Number of '' /	j1=nbocc(model,''); /< j1=Number of '' */
cptcovn=j+1; /* Number of covariates V1+V2*age+V3 =>(2 plus signs) + 1=3	cptcovs=j+1-j1; /*< Number of simple covariates V1+V2age+V3 +V3V4=> V1 + V3 =2 /
but the covariates which are product must be computed and stored. */	cptcovt= j+1; /* Number of total covariates in the model V1 + V2age+ V3 + V3V4=> 4*/
cptcovprod=j1; /Number of products V1V2 +v3age = 2 /	/* including age products which are counted in cptcovage.
	/* but the covariates which are products must be treated separately: ncovn=4- 2=2 (V1+V3). */
	cptcovprod=j1; /*< Number of products V1V2 +v3age = 2 /
	cptcovprodnoage=0; /*< Number of covariate products without age: V3V4 =1 */
strcpy(modelsav,model);	strcpy(modelsav,model);
if ((strcmp(model,"age")==0) \|\| (strcmp(model,"age*age")==0)){	if (strstr(model,"AGE") !=0){
printf("Error. Non available option model=%s ",model);	printf("Error. AGE must be in lower case 'age' model=%s ",model);
fprintf(ficlog,"Error. Non available option model=%s ",model);fflush(ficlog);	fprintf(ficlog,"Error. AGE must be in lower case model=%s ",model);fflush(ficlog);
	return 1;
	}
	if (strstr(model,"v") !=0){
	printf("Error. 'v' must be in upper case 'V' model=%s ",model);
	fprintf(ficlog,"Error. 'v' must be in upper case model=%s ",model);fflush(ficlog);
return 1;	return 1;
}	}

	/* Design
	* V1 V2 V3 V4 V5 V6 V7 V8 V9 Weight
	* < ncovcol=8 >
	* Model V2 + V1 + V3age + V3 + V5V6 + V7V8 + V8age + V8
	* k= 1 2 3 4 5 6 7 8
	* cptcovn number of covariates (not including constant and age ) = # of + plus 1 = 7+1=8
	* covar[k,i], value of kth covariate if not including age for individual i:
	* covar[1][i]= (V2), covar[4][i]=(V3), covar[8][i]=(V8)
	* Tvar[k] # of the kth covariate: Tvar[1]=2 Tvar[4]=3 Tvar[8]=8
	* if multiplied by age: V3age Tvar[3=V3age]=3 (V3) Tvar[7]=8 and
	* Tage[++cptcovage]=k
	* if products, new covar are created after ncovcol with k1
	* Tvar[k]=ncovcol+k1; # of the kth covariate product: Tvar[5]=ncovcol+1=10 Tvar[6]=ncovcol+1=11
	* Tprod[k1]=k; Tprod[1]=5 Tprod[2]= 6; gives the position of the k1th product
	* Tvard[k1][1]=m Tvard[k1][2]=m; Tvard[1][1]=5 (V5) Tvard[1][2]=6 Tvard[2][1]=7 (V7) Tvard[2][2]=8
	* Tvar[cptcovn+k2]=Tvard[k1][1];Tvar[cptcovn+k2+1]=Tvard[k1][2];
	* Tvar[8+1]=5;Tvar[8+2]=6;Tvar[8+3]=7;Tvar[8+4]=8 inverted
	* V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11
	* < ncovcol=8 >
	* Model V2 + V1 + V3age + V3 + V5V6 + V7V8 + V8age + V8 d1 d1 d2 d2
	* k= 1 2 3 4 5 6 7 8 9 10 11 12
	* Tvar[k]= 2 1 3 3 10 11 8 8 5 6 7 8
	* p Tvar[1]@12={2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6}
	* p Tprod[1]@2={ 6, 5}
	*p Tvard[1][1]@4= {7, 8, 5, 6}
	* covar[k][i]= V2 V1 ? V3 V5V6? V7V8? ? V8
	* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
	*How to reorganize?
	* Model V1 + V2 + V3 + V8 + V5V6 + V7V8 + V3age + V8age
	* Tvars {2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6}
	* {2, 1, 4, 8, 5, 6, 3, 7}
	* Struct []
	*/

/* This loop fills the array Tvar from the string 'model'.*/	/* This loop fills the array Tvar from the string 'model'.*/
/* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */	/* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */
/* modelsav=V3age+V2+V1+V4 strb=V3age stra=V2+V1+V4	/* modelsav=V2+V1+V4+ageV3 strb=ageV3 stra=V2+V1+V4 */
i=1 Tvar[1]=3 Tage[1]=1	/* k=4 (ageV3) Tvar[k=4]= 3 (from V3) Tage[cptcovage=1]=4 /
i=2 Tvar[2]=2	/* k=3 V4 Tvar[k=3]= 4 (from V4) */
i=3 Tvar[3]=1	/* k=2 V1 Tvar[k=2]= 1 (from V1) */
i=4 Tvar[4]= 4	/* k=1 Tvar[1]=2 (from V2) */
i=5 Tvar[5]	/* k=5 Tvar[5] */
for (k=1; k<=cptcovn;k++) {	/* for (k=1; k<=cptcovn;k++) { */
cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];	/* cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; */
*/	/* } */
for(k=1; k<=(j+1);k++){	/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; /
cutv(strb,stra,modelsav,'+'); /* keeps in strb after the first '+'	/*
modelsav=V3age+V2+V1+V4 strb=V3age stra=V2+V1+V4	* Treating invertedly V2+V1+V3age+V2V4 is as if written V2V4 +V3age + V1 + V2 */
*/	for(k=cptcovt; k>=1;k--) /*< Number of covariates /
/* if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav);/ / and analyzes it */	Tvar[k]=0;
	cptcovage=0;
	for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */
	cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+'
	modelsav==V2+V1+V4+V3age strb=V3age stra=V2+V1+V4 */
	if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */
/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/	/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/
/scanf("%d",i);/	/scanf("%d",i);/
if (strchr(strb,'')) { / Model includes a product V3age+V2+V1+V4 strb=V3age */	if (strchr(strb,'')) { /< Model includes a product V2+V1+V4+V3age strb=V3age /
cutv(strd,strc,strb,''); / strdstrc VmVn: strb=V3age strc=age strd=V3 ; V3V2 strc=V2, strd=V3 */	cutl(strc,strd,strb,''); /< strdstrc VmVn: strb=V3age(input) strc=age strd=V3 ; V3V2 strc=V2, strd=V3 /
if (strcmp(strc,"age")==0) { /* Vnage /	if (strcmp(strc,"age")==0) { /*< Model includes age: Vnage */
	/* covar is not filled and then is empty */
cptcovprod--;	cptcovprod--;
cutv(strb,stre,strd,'V'); /* stre="V3" */	cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */
Tvar[k]=atoi(stre); /* V1+V3age+V2 Tvar[2]=3, and Tvar[3]=2 /	Tvar[k]=atoi(stre); /* V2+V1+V4+V3age Tvar[4]=3 ; V1+V2age Tvar[2]=2 */
cptcovage++; /* Sums the number of covariates which include age as a product */	cptcovage++; /* Sums the number of covariates which include age as a product */
Tage[cptcovage]=k; /* Tage[1] =2 */	Tage[cptcovage]=k; /* Tage[1] = 4 */
/printf("stre=%s ", stre);/	/printf("stre=%s ", stre);/
}	} else if (strcmp(strd,"age")==0) { /* or ageVn /
else if (strcmp(strd,"age")==0) { /* or ageVn /
cptcovprod--;	cptcovprod--;
cutv(strb,stre,strc,'V');	cutl(stre,strb,strc,'V');
Tvar[k]=atoi(stre);	Tvar[k]=atoi(stre);
cptcovage++;	cptcovage++;
Tage[cptcovage]=k;	Tage[cptcovage]=k;
}	} else { /* Age is not in the model product V2+V1+V1V4+V3age+V3V2 strb=V3V2*/
else { /* Age is not in the model V1+V3V2+V2 strb=V3V2*/	/* loops on k1=1 (V3V2) and k1=2 V4V3 */
cutv(strb,stre,strc,'V'); /* strc= Vn, stre is n; strb=V3V2 stre=3 strc=/	cptcovn++;
Tvar[k]=ncovcol+k1; /* find 'n' in Vn and stores in Tvar.	cptcovprodnoage++;k1++;
If already ncovcol=2 and model=V2V1 Tvar[1]=2+1 and Tvar[2]=2+2 etc /	cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3V2 stre=3 strc=/
cutv(strb,strc,strd,'V'); /* strd was Vm, strc is m */	Tvar[k]=ncovcol+k1; /* For model-covariate k tells which data-covariate to use but
Tprod[k1]=k; /* Tprod[1] */	because this model-covariate is a construction we invent a new column
Tvard[k1][1]=atoi(strc); /* m*/	ncovcol + k1
Tvard[k1][2]=atoi(stre); /* n */	If already ncovcol=4 and model=V2+V1+V1V4+ageV3+V3*V2
Tvar[cptcovn+k2]=Tvard[k1][1];	Tvar[3=V1V4]=4+1 Tvar[5=V3V2]=4 + 2= 6, etc */
Tvar[cptcovn+k2+1]=Tvard[k1][2];	cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */
for (i=1; i<=lastobs;i++) /* Computes the new covariate which is a product of covar[n][i]* covar[m][i]	Tprod[k1]=k; /* Tprod[1]=3(=V1V4) for V2+V1+V1V4+ageV3+V3V2 */
and is stored at ncovol+k1 */	Tvard[k1][1] =atoi(strc); /* m 1 for V1*/
covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i];	Tvard[k1][2] =atoi(stre); /* n 4 for V4*/
k1++;
k2=k2+2;	k2=k2+2;
}	Tvar[cptcovt+k2]=Tvard[k1][1]; /* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) */
}	Tvar[cptcovt+k2+1]=Tvard[k1][2]; /* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) */
	for (i=1; i<=lastobs;i++){
	/* Computes the new covariate which is a product of
	covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */
	covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i];
	}
	} /* End age is not in the model */
	} /* End if model includes a product */
else { /* no more sum */	else { /* no more sum */
/printf("d=%s c=%s b=%s\n", strd,strc,strb);/	/printf("d=%s c=%s b=%s\n", strd,strc,strb);/
/* scanf("%d",i);*/	/* scanf("%d",i);*/
cutv(strd,strc,strb,'V');	cutl(strd,strc,strb,'V');
Tvar[i]=atoi(strc);	ks++; /*< Number of simple covariates /
	cptcovn++;
	Tvar[k]=atoi(strd);
}	}
strcpy(modelsav,stra); /* modelsav=V2+V3age+V1+V4 strb=V3age+V1+V4 */	strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */
/*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);	/*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);
scanf("%d",i);*/	scanf("%d",i);*/
} /* end of loop + */	} /* end of loop + */
Line 4773 int decodemodel ( char model[], int last	Line 5142 int decodemodel ( char model[], int last
scanf("%d ",i);*/	scanf("%d ",i);*/


return (0);	return (0); /* with covar[new additional covariate if product] and Tage if age */
endread:	endread:
printf("Exiting decodemodel: ");	printf("Exiting decodemodel: ");
return (1);	return (1);
Line 4833 calandcheckages(int imx, int maxwav, dou	Line 5202 calandcheckages(int imx, int maxwav, dou
}	}
else if(agev[m][i] >*agemax){	else if(agev[m][i] >*agemax){
*agemax=agev[m][i];	*agemax=agev[m][i];
/* printf(" anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.0f\n",m,i,anint[m][i], i,annais[i], agemax);*/	/* printf(" Max anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.2f\n",m,i,anint[m][i], i,annais[i], agemax);/
}	}
/agev[m][i]=anint[m][i]-annais[i];/	/agev[m][i]=anint[m][i]-annais[i];/
/* agev[m][i] = age[i]+2m;/	/* agev[m][i] = age[i]+2m;/
Line 4867 calandcheckages(int imx, int maxwav, dou	Line 5236 calandcheckages(int imx, int maxwav, dou
}*/	}*/


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);

return (0);	return (0);
endread:	endread:
Line 4945 int main(int argc, char *argv[])	Line 5314 int main(int argc, char *argv[])
double kk1, kk2;	double kk1, kk2;
double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;	double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;
double **ximort;	double **ximort;
char *alph[]={"a","a","b","c","d","e"}, str[4];	char *alph[]={"a","a","b","c","d","e"}, str[4]="1234";
int *dcwave;	int *dcwave;

char z[1]="c", occ;	char z[1]="c", occ;
Line 4962 int main(int argc, char *argv[])	Line 5331 int main(int argc, char *argv[])
/* setlocale (LC_MESSAGES, ""); */	/* setlocale (LC_MESSAGES, ""); */

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

/* printf("Localtime (at start)=%s",strstart); */	/* printf("Localtime (at start)=%s",strstart); */
/* tp.tv_sec = tp.tv_sec +86400; */	/* tp.tm_sec = tp.tm_sec +86400; */
/* tm = localtime(&start_time.tv_sec); /	/* tm = localtime(&start_time.tm_sec); /
/* tmg.tm_year=tmg.tm_year +dsigndyear; /	/* tmg.tm_year=tmg.tm_year +dsigndyear; /
/* tmg.tm_mon=tmg.tm_mon +dsigndmonth; /	/* tmg.tm_mon=tmg.tm_mon +dsigndmonth; /
/* tmg.tm_hour=tmg.tm_hour + 1; */	/* tmg.tm_hour=tmg.tm_hour + 1; */
/* tp.tv_sec = mktime(&tmg); */	/* tp.tm_sec = mktime(&tmg); */
/* strt=asctime(&tmg); */	/* strt=asctime(&tmg); */
/* printf("Time(after) =%s",strstart); */	/* printf("Time(after) =%s",strstart); */
/* (void) time (&time_value);	/* (void) time (&time_value);
Line 4995 int main(int argc, char *argv[])	Line 5366 int main(int argc, char *argv[])
i=strlen(pathr);	i=strlen(pathr);
if(pathr[i-1]=='\n')	if(pathr[i-1]=='\n')
pathr[i-1]='\0';	pathr[i-1]='\0';
	i=strlen(pathr);
	if(pathr[i-1]==' ') /* This may happen when dragging on oS/X! */
	pathr[i-1]='\0';
for (tok = pathr; tok != NULL; ){	for (tok = pathr; tok != NULL; ){
printf("Pathr \|%s\|\n",pathr);	printf("Pathr \|%s\|\n",pathr);
while ((val = strsep(&tok, "\"" )) != NULL && *val == '\0');	while ((val = strsep(&tok, "\"" )) != NULL && *val == '\0');
Line 5050 int main(int argc, char *argv[])	Line 5424 int main(int argc, char *argv[])
path=%s \n\	path=%s \n\
optionfile=%s\n\	optionfile=%s\n\
optionfilext=%s\n\	optionfilext=%s\n\
optionfilefiname=%s\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname);	optionfilefiname='%s'\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname);

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

/* */	/* */
strcpy(fileres,"r");	strcpy(fileres,"r");
Line 5066 int main(int argc, char *argv[])	Line 5440 int main(int argc, char *argv[])
/---------arguments file --------/	/---------arguments file --------/

if((ficpar=fopen(optionfile,"r"))==NULL) {	if((ficpar=fopen(optionfile,"r"))==NULL) {
printf("Problem with optionfile %s\n",optionfile);	printf("Problem with optionfile '%s' with errno='%s'\n",optionfile,strerror(errno));
fprintf(ficlog,"Problem with optionfile %s\n",optionfile);	fprintf(ficlog,"Problem with optionfile '%s' with errno='%s'\n",optionfile,strerror(errno));
fflush(ficlog);	fflush(ficlog);
goto end;	/* goto end; */
	exit(70);
}	}


Line 5089 int main(int argc, char *argv[])	Line 5464 int main(int argc, char *argv[])
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
numlinepar++;	numlinepar++;
puts(line);	fputs(line,stdout);
fputs(line,ficparo);	fputs(line,ficparo);
fputs(line,ficlog);	fputs(line,ficlog);
}	}
Line 5105 int main(int argc, char *argv[])	Line 5480 int main(int argc, char *argv[])
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
numlinepar++;	numlinepar++;
puts(line);	fputs(line, stdout);
	//puts(line);
fputs(line,ficparo);	fputs(line,ficparo);
fputs(line,ficlog);	fputs(line,ficlog);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);


covar=matrix(0,NCOVMAX,1,n);	covar=matrix(0,NCOVMAX,1,n); /*< used in readdata /
cptcovn=0; /Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn/	cptcovn=0; /Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn/
/* v1+v2+v3+v2v4+v5age makes cptcovn = 5	/* v1+v2+v3+v2v4+v5age makes cptcovn = 5
v1+v2age+v2v3 makes cptcovn = 3	v1+v2age+v2v3 makes cptcovn = 3
*/	*/
if (strlen(model)>1)	if (strlen(model)>1)
cptcovn=nbocc(model,'+')+1;	ncovmodel=2+nbocc(model,'+')+1; /Number of variables including intercept and age = cptcovn + intercept + age : v1+v2+v3+v2v4+v5age makes 5+2=7/
/* ncovprod */	else
ncovmodel=2+cptcovn; /Number of variables including intercept and age = cptcovn + intercept + age : v1+v2+v3+v2v4+v5age makes 5+2=7/	ncovmodel=2;
nvar=ncovmodel-1; /* Suppressing age as a basic covariate */	nvar=ncovmodel-1; /* Suppressing age as a basic covariate */
nforce= (nlstate+ndeath-1)nlstate; / Number of forces ij from state i to j */	nforce= (nlstate+ndeath-1)nlstate; / Number of forces ij from state i to j */
npar= nforcencovmodel; / Number of parameters like aij*/	npar= nforcencovmodel; / Number of parameters like aij*/
Line 5152 int main(int argc, char *argv[])	Line 5528 int main(int argc, char *argv[])
matcov=matrix(1,npar,1,npar);	matcov=matrix(1,npar,1,npar);
}	}
else{	else{
/* Read guess parameters */	/* Read guessed 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++;	numlinepar++;
puts(line);	fputs(line,stdout);
fputs(line,ficparo);	fputs(line,ficparo);
fputs(line,ficlog);	fputs(line,ficlog);
}	}
Line 5201 run imach with mle=-1 to get a correct t	Line 5577 run imach with mle=-1 to get a correct t
}	}
fflush(ficlog);	fflush(ficlog);

	/* Reads scales values */
p=param[1][1];	p=param[1][1];

/* Reads comments: lines beginning with '#' */	/* Reads comments: lines beginning with '#' */
Line 5208 run imach with mle=-1 to get a correct t	Line 5585 run imach with mle=-1 to get a correct t
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
numlinepar++;	numlinepar++;
puts(line);	fputs(line,stdout);
fputs(line,ficparo);	fputs(line,ficparo);
fputs(line,ficlog);	fputs(line,ficlog);
}	}
Line 5239 run imach with mle=-1 to get a correct t	Line 5616 run imach with mle=-1 to get a correct t
}	}
fflush(ficlog);	fflush(ficlog);

	/* Reads covariance matrix */
delti=delti3[1][1];	delti=delti3[1][1];


Line 5249 run imach with mle=-1 to get a correct t	Line 5627 run imach with mle=-1 to get a correct t
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
numlinepar++;	numlinepar++;
puts(line);	fputs(line,stdout);
fputs(line,ficparo);	fputs(line,ficparo);
fputs(line,ficlog);	fputs(line,ficlog);
}	}
Line 5260 run imach with mle=-1 to get a correct t	Line 5638 run imach with mle=-1 to get a correct t
for(j=1; j <=npar; j++) matcov[i][j]=0.;	for(j=1; j <=npar; j++) matcov[i][j]=0.;

for(i=1; i <=npar; i++){	for(i=1; i <=npar; i++){
fscanf(ficpar,"%s",&str);	fscanf(ficpar,"%s",str);
if(mle==1)	if(mle==1)
printf("%s",str);	printf("%s",str);
fprintf(ficlog,"%s",str);	fprintf(ficlog,"%s",str);
Line 5317 run imach with mle=-1 to get a correct t	Line 5695 run imach with mle=-1 to get a correct t
anint=matrix(1,maxwav,1,n);	anint=matrix(1,maxwav,1,n);
s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */	s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */
tab=ivector(1,NCOVMAX);	tab=ivector(1,NCOVMAX);
ncodemax=ivector(1,8);	ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2*ncov; V1+V2+V3+V4=>16 /

/* Reads data from file datafile */	/* Reads data from file datafile */
if (readdata(datafile, firstobs, lastobs, &imx)==1)	if (readdata(datafile, firstobs, lastobs, &imx)==1)
goto end;	goto end;

/* Calculation of the number of parameters from char model */	/* Calculation of the number of parameters from char model */
Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. Stores the number n of the covariates in Vm+Vn at 1 and m at 2 */	/* modelsav=V2+V1+V4+ageV3 strb=ageV3 stra=V2+V1+V4
Tprod=ivector(1,15);	k=4 (age*V3) Tvar[k=4]= 3 (from V3) Tag[cptcovage=1]=4
Tvaraff=ivector(1,15);	k=3 V4 Tvar[k=3]= 4 (from V4)
Tvard=imatrix(1,15,1,2);	k=2 V1 Tvar[k=2]= 1 (from V1)
Tage=ivector(1,15);	k=1 Tvar[1]=2 (from V2)
	*/
	Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */
	/* V2+V1+V4+age*V3 is a model with 4 covariates (3 plus signs).
	For each model-covariate stores the data-covariate id. Tvar[1]=2, Tvar[2]=1, Tvar[3]=4,
	Tvar[4=age*V3] is 3 and 'age' is recorded in Tage.
	*/
	/* For model-covariate k tells which data-covariate to use but
	because this model-covariate is a construction we invent a new column
	ncovcol + k1
	If already ncovcol=4 and model=V2+V1+V1V4+ageV3
	Tvar[3=V1V4]=4+1 etc /
	Tprod=ivector(1,NCOVMAX); /* Gives the position of a product */
	/* Tprod[k1=1]=3(=V1V4) for V2+V1+V1V4+age*V3
	if V2+V1+V1V4+ageV3+V3V2 TProd[k1=2]=5 (V3V2)
	*/
	Tvaraff=ivector(1,NCOVMAX); /* Unclear */
	Tvard=imatrix(1,NCOVMAX,1,2); /* n=Tvard[k1][1] and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm
	* For V3V2 (in V2+V1+V1V4+ageV3+V3V2), V3*V2 position is 2nd.
	* Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */
	Tage=ivector(1,NCOVMAX); /* Gives the covariate id of covariates associated with age: V2 + V1 + ageV4 + V3age
	4 covariates (3 plus signs)
	Tage[1=V3age]= 4; Tage[2=ageV4] = 3
	*/

if(decodemodel(model, lastobs) == 1)	if(decodemodel(model, lastobs) == 1)
goto end;	goto end;

	if((double)(lastobs-imx)/(double)imx > 1.10){
	nbwarn++;
	printf("Warning: The value of parameter lastobs=%d is big compared to the \n effective number of cases imx=%d, please adjust, \n otherwise you are allocating more memory than necessary.\n",lastobs, imx);
	fprintf(ficlog,"Warning: The value of parameter lastobs=%d is big compared to the \n effective number of cases imx=%d, please adjust, \n otherwise you are allocating more memory than necessary.\n",lastobs, imx);
	}
/* if(mle==1){*/	/* if(mle==1){*/
if (weightopt != 1) { /* Maximisation without weights*/	if (weightopt != 1) { /* Maximisation without weights. We can have weights different from 1 but want no weight*/
for(i=1;i<=n;i++) weight[i]=1.0;	for(i=1;i<=imx;i++) weight[i]=1.0; /* changed to imx */
}	}

/-calculation of age at interview from date of interview and age at death -/	/-calculation of age at interview from date of interview and age at death -/
Line 5352 run imach with mle=-1 to get a correct t	Line 5758 run imach with mle=-1 to get a correct t
free_matrix(anint,1,maxwav,1,n);*/	free_matrix(anint,1,maxwav,1,n);*/
free_vector(moisdc,1,n);	free_vector(moisdc,1,n);
free_vector(andc,1,n);	free_vector(andc,1,n);
	/* */

wav=ivector(1,imx);	wav=ivector(1,imx);
dh=imatrix(1,lastpass-firstpass+1,1,imx);	dh=imatrix(1,lastpass-firstpass+1,1,imx);
bh=imatrix(1,lastpass-firstpass+1,1,imx);	bh=imatrix(1,lastpass-firstpass+1,1,imx);
Line 5361 run imach with mle=-1 to get a correct t	Line 5767 run imach with mle=-1 to get a correct t

/* Concatenates waves */	/* Concatenates waves */
concatwav(wav, dh, bh, mw, s, agedc, agev, firstpass, lastpass, imx, nlstate, stepm);	concatwav(wav, dh, bh, mw, s, agedc, agev, firstpass, lastpass, imx, nlstate, stepm);
	/* */

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

nbcode=imatrix(0,NCOVMAX,0,NCOVMAX);	nbcode=imatrix(0,NCOVMAX,0,NCOVMAX);
ncodemax[1]=1;	ncodemax[1]=1;
if (cptcovn > 0) tricode(Tvar,nbcode,imx);	Ndum =ivector(-1,NCOVMAX);
	if (ncovmodel > 2)
codtab=imatrix(1,100,1,10); /* Cross tabulation to get the order of	tricode(Tvar,nbcode,imx, Ndum); /*< Fills nbcode[Tvar[j]][l]; /
the estimations*/
	codtab=imatrix(1,100,1,10); /* codtab[h,k]=( (h-1) - mod(k-1,2(k-1) )/2(k-1) */
	/printf(" codtab[1,1],codtab[100,10]=%d,%d\n", codtab[1][1],codtab[100][10]);/
h=0;	h=0;


	/if (cptcovn > 0) /


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

for(k=1;k<=cptcoveff; k++){ /* scans any effective covariate */	for(k=1;k<=cptcoveff; k++){ /* scans any effective covariate */
for(i=1; i <=(m/pow(2,k));i++){ /* i=1 to 8/1=8; i=1 to 8/2=4; i=1 to 8/8=1 */	for(i=1; i <=pow(2,cptcoveff-k);i++){ /* i=1 to 8/1=8; i=1 to 8/2=4; i=1 to 8/8=1 */
for(j=1; j <= ncodemax[k]; j++){ /* For each modality of this covariate */	for(j=1; j <= ncodemax[k]; j++){ /* For each modality of this covariate ncodemax=2*/
for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){ /* cpt=1 to 8/2*(3+1-1 or 3+1-3) =1 or 4 /	for(cpt=1; cpt <=pow(2,k-1); cpt++){ /* cpt=1 to 8/2*(3+1-1 or 3+1-3) =1 or 4 /
h++;	h++;
if (h>m) {	if (h>m)
h=1;	h=1;
codtab[h][k]=j;	/< codtab(h,k) k = codtab[h,k]=( (h-1) - mod(k-1,2(k-1) )/2**(k-1) + 1
codtab[h][Tvar[k]]=j;	* h 1 2 3 4
}	*______________________________
	* 1 i=1 1 i=1 1 i=1 1 i=1 1
	* 2 2 1 1 1
	* 3 i=2 1 2 1 1
	* 4 2 2 1 1
	* 5 i=3 1 i=2 1 2 1
	* 6 2 1 2 1
	* 7 i=4 1 2 2 1
	* 8 2 2 2 1
	* 9 i=5 1 i=3 1 i=2 1 1
	* 10 2 1 1 1
	* 11 i=6 1 2 1 1
	* 12 2 2 1 1
	* 13 i=7 1 i=4 1 2 1
	* 14 2 1 2 1
	* 15 i=8 1 2 2 1
	* 16 2 2 2 1
	*/
	codtab[h][k]=j;
	/codtab[h][Tvar[k]]=j;/
printf("h=%d k=%d j=%d codtab[h][k]=%d Tvar[k]=%d codtab[h][Tvar[k]]=%d \n",h, k,j,codtab[h][k],Tvar[k],codtab[h][Tvar[k]]);	printf("h=%d k=%d j=%d codtab[h][k]=%d Tvar[k]=%d codtab[h][Tvar[k]]=%d \n",h, k,j,codtab[h][k],Tvar[k],codtab[h][Tvar[k]]);
}	}
}	}
Line 5397 run imach with mle=-1 to get a correct t	Line 5830 run imach with mle=-1 to get a correct t
printf("\n");	printf("\n");
}	}
scanf("%d",i);*/	scanf("%d",i);*/

	free_ivector(Ndum,-1,NCOVMAX);



/------------ gnuplot -------------/	/------------ gnuplot -------------/
strcpy(optionfilegnuplot,optionfilefiname);	strcpy(optionfilegnuplot,optionfilefiname);
Line 5410 run imach with mle=-1 to get a correct t	Line 5847 run imach with mle=-1 to get a correct t
else{	else{
fprintf(ficgp,"\n# %s\n", version);	fprintf(ficgp,"\n# %s\n", version);
fprintf(ficgp,"# %s\n", optionfilegnuplot);	fprintf(ficgp,"# %s\n", optionfilegnuplot);
fprintf(ficgp,"set missing 'NaNq'\n");	//fprintf(ficgp,"set missing 'NaNq'\n");
	fprintf(ficgp,"set datafile missing 'NaNq'\n");
}	}
/* fclose(ficgp);*/	/* fclose(ficgp);*/
/--------- index.htm --------/	/--------- index.htm --------/
Line 5519 Interval (in months) between two waves:	Line 5957 Interval (in months) between two waves:
ximort[i][j]=(i == j ? 1.0 : 0.0);	ximort[i][j]=(i == j ? 1.0 : 0.0);
}	}

p[1]=0.0268; p[NDIM]=0.083;	/p[1]=0.0268; p[NDIM]=0.083;/
/printf("%lf %lf", p[1], p[2]);/	/printf("%lf %lf", p[1], p[2]);/


Line 5849 Interval (in months) between two waves:	Line 6287 Interval (in months) between two waves:
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
puts(line);	fputs(line,stdout);
fputs(line,ficparo);	fputs(line,ficparo);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);
Line 5869 Interval (in months) between two waves:	Line 6307 Interval (in months) between two waves:
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
puts(line);	fputs(line,stdout);
fputs(line,ficparo);	fputs(line,ficparo);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);
Line 5883 Interval (in months) between two waves:	Line 6321 Interval (in months) between two waves:
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
puts(line);	fputs(line,stdout);
fputs(line,ficparo);	fputs(line,ficparo);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);
Line 5899 Interval (in months) between two waves:	Line 6337 Interval (in months) between two waves:
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
puts(line);	fputs(line,stdout);
fputs(line,ficparo);	fputs(line,ficparo);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);
Line 5913 Interval (in months) between two waves:	Line 6351 Interval (in months) between two waves:



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

replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */	replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */
printinggnuplot(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);	printinggnuplot(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);
Line 5939 Interval (in months) between two waves:	Line 6377 Interval (in months) between two waves:


/--------------- Prevalence limit (period or stable prevalence) --------------/	/--------------- Prevalence limit (period or stable prevalence) --------------/
	#include "prevlim.h" /* Use ficrespl, ficlog */
strcpy(filerespl,"pl");
strcat(filerespl,fileres);
if((ficrespl=fopen(filerespl,"w"))==NULL) {
printf("Problem with period (stable) prevalence resultfile: %s\n", filerespl);goto end;
fprintf(ficlog,"Problem with period (stable) prevalence resultfile: %s\n", filerespl);goto end;
}
printf("Computing period (stable) prevalence: result on file '%s' \n", filerespl);
fprintf(ficlog,"Computing period (stable) prevalence: result on file '%s' \n", filerespl);
pstamp(ficrespl);
fprintf(ficrespl,"# Period (stable) prevalence \n");
fprintf(ficrespl,"#Age ");
for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);
fprintf(ficrespl,"\n");

prlim=matrix(1,nlstate,1,nlstate);

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

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

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

/------------- h Pij x at various ages ------------/	#ifdef FREEEXIT2
	#include "freeexit2.h"
strcpy(filerespij,"pij"); strcat(filerespij,fileres);	#endif
if((ficrespij=fopen(filerespij,"w"))==NULL) {
printf("Problem with Pij resultfile: %s\n", filerespij);goto end;
fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij);goto end;
}
printf("Computing pij: result on file '%s' \n", filerespij);
fprintf(ficlog,"Computing pij: result on file '%s' \n", filerespij);

stepsize=(int) (stepm+YEARM-1)/YEARM;
/if (stepm<=24) stepsize=2;/

agelim=AGESUP;
hstepm=stepsizeYEARM; / Every year of age */
hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */

/* hstepm=1; aff par mois*/
pstamp(ficrespij);
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(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
k=k+1;
fprintf(ficrespij,"\n#****** ");
for(j=1;j<=cptcoveff;j++)
fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
fprintf(ficrespij,"******\n");

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

/* nhstepm=nhstepmYEARM; aff par mois/

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

	/-------------- Variance of one-step probabilities---/
	k=1;
varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart);	varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart);

fclose(ficrespij);

probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);	probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
for(i=1;i<=AGESUP;i++)	for(i=1;i<=AGESUP;i++)
Line 6098 Interval (in months) between two waves:	Line 6440 Interval (in months) between two waves:
}	}
printf("Computing Health Expectancies: result on file '%s' \n", filerese);	printf("Computing Health Expectancies: result on file '%s' \n", filerese);
fprintf(ficlog,"Computing Health Expectancies: result on file '%s' \n", filerese);	fprintf(ficlog,"Computing Health Expectancies: result on file '%s' \n", filerese);
for(cptcov=1,k=0;cptcov<=i1;cptcov++){	/*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){	for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
k=k+1;
	for (k=1; k <= (int) pow(2,cptcoveff); k++){
fprintf(ficreseij,"\n#****** ");	fprintf(ficreseij,"\n#****** ");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcoveff;j++) {
fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
Line 6112 Interval (in months) between two waves:	Line 6455 Interval (in months) between two waves:
evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart);	evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart);

free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);	free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
}	/}/
}	}
fclose(ficreseij);	fclose(ficreseij);

Line 6157 Interval (in months) between two waves:	Line 6500 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);

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;
fprintf(ficrest,"\n#****** ");	for (k=1; k <= (int) pow(2,cptcoveff); k++){
	fprintf(ficrest,"\n#****** ");
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
fprintf(ficrest,"******\n");	fprintf(ficrest,"******\n");
Line 6182 Interval (in months) between two waves:	Line 6526 Interval (in months) between two waves:
eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);	eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
oldm=oldms;savm=savms;	oldm=oldms;savm=savms;
cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart);	cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart);
	/*
	*/
	/* goto endfree; */

vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);	vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
pstamp(ficrest);	pstamp(ficrest);


for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/	for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/
oldm=oldms;savm=savms;	oldm=oldms;savm=savms; /* Segmentation fault */
varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# (weighted average of eij where weights are ");	varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart);
	fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# (weighted average of eij where weights are ");
if(vpopbased==1)	if(vpopbased==1)
fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);	fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);
else	else
Line 6231 Interval (in months) between two waves:	Line 6581 Interval (in months) between two waves:
free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);	free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);	free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);
free_vector(epj,1,nlstate+1);	free_vector(epj,1,nlstate+1);
}	/}/
}	}
free_vector(weight,1,n);	free_vector(weight,1,n);
free_imatrix(Tvard,1,15,1,2);	free_imatrix(Tvard,1,NCOVMAX,1,2);
free_imatrix(s,1,maxwav+1,1,n);	free_imatrix(s,1,maxwav+1,1,n);
free_matrix(anint,1,maxwav,1,n);	free_matrix(anint,1,maxwav,1,n);
free_matrix(mint,1,maxwav,1,n);	free_matrix(mint,1,maxwav,1,n);
Line 6256 Interval (in months) between two waves:	Line 6606 Interval (in months) between two waves:
}	}
printf("Computing Variance-covariance of period (stable) prevalence: file '%s' \n", fileresvpl);	printf("Computing Variance-covariance of period (stable) prevalence: file '%s' \n", fileresvpl);

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;
fprintf(ficresvpl,"\n#****** ");	for (k=1; k <= (int) pow(2,cptcoveff); k++){
	fprintf(ficresvpl,"\n#****** ");
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
fprintf(ficresvpl,"******\n");	fprintf(ficresvpl,"******\n");
Line 6268 Interval (in months) between two waves:	Line 6619 Interval (in months) between two waves:
oldm=oldms;savm=savms;	oldm=oldms;savm=savms;
varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k,strstart);	varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k,strstart);
free_matrix(varpl,1,nlstate,(int) bage, (int)fage);	free_matrix(varpl,1,nlstate,(int) bage, (int)fage);
}	/}/
}	}

fclose(ficresvpl);	fclose(ficresvpl);
Line 6276 Interval (in months) between two waves:	Line 6627 Interval (in months) between two waves:
/---------- End : free ----------------/	/---------- End : free ----------------/
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_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);

} /* mle==-3 arrives here for freeing */	} /* mle==-3 arrives here for freeing */
endfree:	endfree:
free_matrix(prlim,1,nlstate,1,nlstate);	free_matrix(prlim,1,nlstate,1,nlstate); /here or after loop ? /
free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);	free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);	free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);	free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);
Line 6291 Interval (in months) between two waves:	Line 6641 Interval (in months) between two waves:
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);

free_ivector(ncodemax,1,8);	free_ivector(ncodemax,1,NCOVMAX);
free_ivector(Tvar,1,15);	free_ivector(Tvar,1,NCOVMAX);
free_ivector(Tprod,1,15);	free_ivector(Tprod,1,NCOVMAX);
free_ivector(Tvaraff,1,15);	free_ivector(Tvaraff,1,NCOVMAX);
free_ivector(Tage,1,15);	free_ivector(Tage,1,NCOVMAX);

free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX);	free_imatrix(nbcode,0,NCOVMAX,0,NCOVMAX);
free_imatrix(codtab,1,100,1,10);	free_imatrix(codtab,1,100,1,10);
Line 6312 Interval (in months) between two waves:	Line 6662 Interval (in months) between two waves:
}	}
printf("See log file on %s\n",filelog);	printf("See log file on %s\n",filelog);
/* gettimeofday(&end_time, (struct timezone)0);/ /* after time */	/* gettimeofday(&end_time, (struct timezone)0);/ /* after time */
(void) gettimeofday(&end_time,&tzp);	/(void) gettimeofday(&end_time,&tzp);/
tm = *localtime(&end_time.tv_sec);	rend_time = time(NULL);
tmg = *gmtime(&end_time.tv_sec);	end_time = *localtime(&rend_time);
strcpy(strtend,asctime(&tm));	/* tml = localtime(&end_time.tm_sec); /
	strcpy(strtend,asctime(&end_time));
printf("Local time at start %s\nLocal time at end %s",strstart, strtend);	printf("Local time at start %s\nLocal time at end %s",strstart, strtend);
fprintf(ficlog,"Local time at start %s\nLocal time at end %s\n",strstart, strtend);	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 used %s\n", asc_diff_time(rend_time -rstart_time,tmpout));

printf("Total time was %d Sec.\n", end_time.tv_sec -start_time.tv_sec);	printf("Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time));
fprintf(ficlog,"Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));	fprintf(ficlog,"Total time used %s\n", asc_diff_time(rend_time -rstart_time,tmpout));
fprintf(ficlog,"Total time was %d Sec.\n", end_time.tv_sec -start_time.tv_sec);	fprintf(ficlog,"Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time));
/* printf("Total time was %d uSec.\n", total_usecs);*/	/* printf("Total time was %d uSec.\n", total_usecs);*/
/* if(fileappend(fichtm,optionfilehtm)){ */	/* if(fileappend(fichtm,optionfilehtm)){ */
fprintf(fichtm,"<br>Local time at start %s<br>Local time at end %s<br>\n</body></html>",strstart, strtend);	fprintf(fichtm,"<br>Local time at start %s<br>Local time at end %s<br>\n</body></html>",strstart, strtend);
Line 6341 Interval (in months) between two waves:	Line 6692 Interval (in months) between two waves:
printf("Current directory %s!\n",pathcd);	printf("Current directory %s!\n",pathcd);
/strcat(plotcmd,CHARSEPARATOR);/	/strcat(plotcmd,CHARSEPARATOR);/
sprintf(plotcmd,"gnuplot");	sprintf(plotcmd,"gnuplot");
#ifndef UNIX	#ifdef _WIN32
sprintf(plotcmd,"\"%sgnuplot.exe\"",pathimach);	sprintf(plotcmd,"\"%sgnuplot.exe\"",pathimach);
#endif	#endif
if(!stat(plotcmd,&info)){	if(!stat(plotcmd,&info)){
printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);	printf("Error or gnuplot program not found: %s\n",plotcmd);fflush(stdout);
if(!stat(getenv("GNUPLOTBIN"),&info)){	if(!stat(getenv("GNUPLOTBIN"),&info)){
printf("Error gnuplot program not found: %s Environment GNUPLOTBIN not set.\n",plotcmd);fflush(stdout);	printf("Error or gnuplot program not found: %s Environment GNUPLOTBIN not set.\n",plotcmd);fflush(stdout);
}else	}else
strcpy(pplotcmd,plotcmd);	strcpy(pplotcmd,plotcmd);
#ifdef UNIX	#ifdef __unix
strcpy(plotcmd,GNUPLOTPROGRAM);	strcpy(plotcmd,GNUPLOTPROGRAM);
if(!stat(plotcmd,&info)){	if(!stat(plotcmd,&info)){
printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);	printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);
Line 6364 Interval (in months) between two waves:	Line 6715 Interval (in months) between two waves:
printf("Starting graphs with: %s\n",plotcmd);fflush(stdout);	printf("Starting graphs with: %s\n",plotcmd);fflush(stdout);

if((outcmd=system(plotcmd)) != 0){	if((outcmd=system(plotcmd)) != 0){
printf("\n Problem with gnuplot\n");	printf("gnuplot command might not be in your path: %s, err=%d\n", plotcmd, outcmd);
	printf("\n Trying if gnuplot resides on the same directory that IMaCh\n");
	sprintf(plotcmd,"%sgnuplot %s", pathimach, optionfilegnuplot);
	if((outcmd=system(plotcmd)) != 0)
	printf("\n Still a problem with gnuplot command %s, err=%d\n", plotcmd, outcmd);
}	}
printf(" Wait...");	printf(" Successul, please wait...");
while (z[0] != 'q') {	while (z[0] != 'q') {
/* chdir(path); */	/* chdir(path); */
printf("\nType e to edit output files, g to graph again and q for exiting: ");	printf("\nType e to edit results with your browser, g to graph again and q for exit: ");
scanf("%s",z);	scanf("%s",z);
/* if (z[0] == 'c') system("./imach"); */	/* if (z[0] == 'c') system("./imach"); */
if (z[0] == 'e') {	if (z[0] == 'e') {
printf("Starting browser with: %s",optionfilehtm);fflush(stdout);	#ifdef _APPLE_
system(optionfilehtm);	sprintf(pplotcmd, "open %s", optionfilehtm);
	#elif __linux
	sprintf(pplotcmd, "xdg-open %s", optionfilehtm);
	#else
	sprintf(pplotcmd, "%s", optionfilehtm);
	#endif
	printf("Starting browser with: %s",pplotcmd);fflush(stdout);
	system(pplotcmd);
}	}
else if (z[0] == 'g') system(plotcmd);	else if (z[0] == 'g') system(plotcmd);
else if (z[0] == 'q') exit(0);	else if (z[0] == 'q') exit(0);

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

Removed from v.1.136
changed lines
	Added in v.1.157