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Diff for /imach/src/imach.c between versions 1.171 and 1.203

version 1.171, 2014/12/23 13:26:59	version 1.203, 2015/09/30 17:45:14
Line 1	Line 1
/* $Id$	/* $Id$
$State$	$State$
$Log$	$Log$
	Revision 1.203 2015/09/30 17:45:14 brouard
	Summary: looking at better estimation of the hessian

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

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

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

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

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

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

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

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

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

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

	Revision 1.195 2015/08/18 16:28:39 brouard
	Summary: Adding a hack for testing purpose

	After reading the title, ftol and model lines, if the comment line has
	a q, starting with #q, the answer at the end of the run is quit. It
	permits to run test files in batch with ctest. The former workaround was
	$ echo q \| imach foo.imach

	Revision 1.194 2015/08/18 13:32:00 brouard
	Summary: Adding error when the covariance matrix doesn't contain the exact number of lines required by the model line.

	Revision 1.193 2015/08/04 07:17:42 brouard
	Summary: 0.98q4

	Revision 1.192 2015/07/16 16:49:02 brouard
	Summary: Fixing some outputs

	Revision 1.191 2015/07/14 10:00:33 brouard
	Summary: Some fixes

	Revision 1.190 2015/05/05 08:51:13 brouard
	Summary: Adding digits in output parameters (7 digits instead of 6)

	Fix 1+age+.

	Revision 1.189 2015/04/30 14:45:16 brouard
	Summary: 0.98q2

	Revision 1.188 2015/04/30 08:27:53 brouard
	* empty log message *

	Revision 1.187 2015/04/29 09:11:15 brouard
	* empty log message *

	Revision 1.186 2015/04/23 12:01:52 brouard
	Summary: V1*age is working now, version 0.98q1

	Some codes had been disabled in order to simplify and Vn*age was
	working in the optimization phase, ie, giving correct MLE parameters,
	but, as usual, outputs were not correct and program core dumped.

	Revision 1.185 2015/03/11 13:26:42 brouard
	Summary: Inclusion of compile and links command line for Intel Compiler

	Revision 1.184 2015/03/11 11:52:39 brouard
	Summary: Back from Windows 8. Intel Compiler

	Revision 1.183 2015/03/10 20:34:32 brouard
	Summary: 0.98q0, trying with directest, mnbrak fixed

	We use directest instead of original Powell test; probably no
	incidence on the results, but better justifications;
	We fixed Numerical Recipes mnbrak routine which was wrong and gave
	wrong results.

	Revision 1.182 2015/02/12 08:19:57 brouard
	Summary: Trying to keep directest which seems simpler and more general
	Author: Nicolas Brouard

	Revision 1.181 2015/02/11 23:22:24 brouard
	Summary: Comments on Powell added

	Author:

	Revision 1.180 2015/02/11 17:33:45 brouard
	Summary: Finishing move from main to function (hpijx and prevalence_limit)

	Revision 1.179 2015/01/04 09:57:06 brouard
	Summary: back to OS/X

	Revision 1.178 2015/01/04 09:35:48 brouard
	* empty log message *

	Revision 1.177 2015/01/03 18:40:56 brouard
	Summary: Still testing ilc32 on OSX

	Revision 1.176 2015/01/03 16:45:04 brouard
	* empty log message *

	Revision 1.175 2015/01/03 16:33:42 brouard
	* empty log message *

	Revision 1.174 2015/01/03 16:15:49 brouard
	Summary: Still in cross-compilation

	Revision 1.173 2015/01/03 12:06:26 brouard
	Summary: trying to detect cross-compilation

	Revision 1.172 2014/12/27 12:07:47 brouard
	Summary: Back from Visual Studio and Intel, options for compiling for Windows XP

Revision 1.171 2014/12/23 13:26:59 brouard	Revision 1.171 2014/12/23 13:26:59 brouard
Summary: Back from Visual C	Summary: Back from Visual C

Line 528	Line 652
end	end
*/	*/

	/* #define DEBUG */
	/* #define DEBUGBRENT */
	/* #define DEBUGLINMIN */
	/* #define DEBUGHESS */
	#define DEBUGHESSIJ
	/* #define LINMINORIGINAL /\* Don't use loop on scale in linmin (accepting nan)\/ /
#define POWELL /* Instead of NLOPT */	#define POWELL /* Instead of NLOPT */
	#define POWELLF1F3 /* Skip test */
	/* #define POWELLORIGINAL /\* Don't use Directest to decide new direction but original Powell test \/ /
	/* #define MNBRAKORIGINAL /\* Don't use mnbrak fix \/ /

#include <math.h>	#include <math.h>
#include <stdio.h>	#include <stdio.h>
Line 537	Line 670

#ifdef _WIN32	#ifdef _WIN32
#include <io.h>	#include <io.h>
	#include <windows.h>
	#include <tchar.h>
#else	#else
#include <unistd.h>	#include <unistd.h>
#endif	#endif
Line 593 typedef struct {	Line 728 typedef struct {
#define NLSTATEMAX 8 /*< Maximum number of live states (for func) /	#define NLSTATEMAX 8 /*< Maximum number of live states (for func) /
#define NDEATHMAX 8 /*< Maximum number of dead states (for func) /	#define NDEATHMAX 8 /*< Maximum number of dead states (for func) /
#define NCOVMAX 20 /*< Maximum number of covariates, including generated covariates V1V2 */	#define NCOVMAX 20 /*< Maximum number of covariates, including generated covariates V1V2 */
#define codtabm(h,k) 1 & (h-1) >> (k-1) ;	#define codtabm(h,k) (1 & (h-1) >> (k-1))+1
#define MAXN 20000	#define MAXN 20000
#define YEARM 12. /*< Number of months per year /	#define YEARM 12. /*< Number of months per year /
#define AGESUP 130	#define AGESUP 130
#define AGEBASE 40	#define AGEBASE 40
	#define AGEOVERFLOW 1.e20
#define AGEGOMP 10 /*< Minimal age for Gompertz adjustment /	#define AGEGOMP 10 /*< Minimal age for Gompertz adjustment /
#ifdef _WIN32	#ifdef _WIN32
#define DIRSEPARATOR '\\'	#define DIRSEPARATOR '\\'
Line 611 typedef struct {	Line 747 typedef struct {

/* $Id$ */	/* $Id$ */
/* $State$ */	/* $State$ */
	#include "version.h"
char version[]="Imach version 0.98p, December 2014,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015";	char version[]=__IMACH_VERSION__;
	char copyright[]="September 2015,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015";
char fullversion[]="$Revision$ $Date$";	char fullversion[]="$Revision$ $Date$";
char strstart[80];	char strstart[80];
char optionfilext[10], optionfilefiname[FILENAMELENGTH];	char optionfilext[10], optionfilefiname[FILENAMELENGTH];
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 nagesqr=0, nforce=0; /* nagesqr=1 if model is including ageage, number of forces /
/* Number of covariates model=V2+V1+ V3age+V2V4 */	/* 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 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 cptcovt=0; /*< cptcovt number of covariates added in the model (excepting constant and age) /
Line 679 char command[FILENAMELENGTH];	Line 816 char command[FILENAMELENGTH];
int outcmd=0;	int outcmd=0;

char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];	char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];
	char fileresu[FILENAMELENGTH]; /* fileres without r in front */
char filelog[FILENAMELENGTH]; /* Log file */	char filelog[FILENAMELENGTH]; /* Log file */
char filerest[FILENAMELENGTH];	char filerest[FILENAMELENGTH];
char fileregp[FILENAMELENGTH];	char fileregp[FILENAMELENGTH];
Line 728 static double maxarg1,maxarg2;	Line 865 static double maxarg1,maxarg2;
#define SIGN(a,b) ((b)>0.0 ? fabs(a) : -fabs(a))	#define SIGN(a,b) ((b)>0.0 ? fabs(a) : -fabs(a))
#define rint(a) floor(a+0.5)	#define rint(a) floor(a+0.5)
/* http://www.thphys.uni-heidelberg.de/~robbers/cmbeasy/doc/html/myutils_8h-source.html */	/* http://www.thphys.uni-heidelberg.de/~robbers/cmbeasy/doc/html/myutils_8h-source.html */
/* #define mytinydouble 1.0e-16 */	#define mytinydouble 1.0e-16
/* #define DEQUAL(a,b) (fabs((a)-(b))<mytinydouble) */	/* #define DEQUAL(a,b) (fabs((a)-(b))<mytinydouble) */
/* http://www.thphys.uni-heidelberg.de/~robbers/cmbeasy/doc/html/mynrutils_8h-source.html */	/* http://www.thphys.uni-heidelberg.de/~robbers/cmbeasy/doc/html/mynrutils_8h-source.html */
/* static double dsqrarg; */	/* static double dsqrarg; */
Line 747 int estepm;	Line 884 int estepm;

int m,nb;	int m,nb;
long *num;	long *num;
int firstpass=0, lastpass=4,cod, ncodemax, Tage,cens;	int firstpass=0, lastpass=4,cod, cens;
	int ncodemax; / ncodemax[j]= Number of modalities of the j th
	covariate for which somebody answered excluding
	undefined. Usually 2: 0 and 1. */
	int ncodemaxwundef; / ncodemax[j]= Number of modalities of the j th
	covariate for which somebody answered including
	undefined. Usually 3: -1, 0 and 1. */
double *agev,moisnais, annais, moisdc, andc,mint, *anint;	double *agev,moisnais, annais, moisdc, andc,mint, *anint;
double pmmij, *probs;	double pmmij, *probs;
double ageexmed,agecens;	double ageexmed,agecens;
Line 758 int *s; / Status */	Line 901 int *s; / Status */
double *agedc;	double *agedc;
double covar; /< covar[j,i], value of jth covariate for individual i,	double covar; /< covar[j,i], value of jth covariate for individual i,
* covar=matrix(0,NCOVMAX,1,n);	* covar=matrix(0,NCOVMAX,1,n);
* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]cov[2]; /	* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]age; /
double idx;	double idx;
int *nbcode, Tvar; /*< model=V2 => Tvar[1]= 2 /	int *nbcode, Tvar; /*< model=V2 => Tvar[1]= 2 /
	int *Tage;
int Ndum; /* Freq of modality (tricode */	int Ndum; /* Freq of modality (tricode */
int codtab; /< codtab=imatrix(1,100,1,10); */	/* int *codtab;/ /*< codtab=imatrix(1,100,1,10); /
int *Tvard, Tprod, cptcovprod, *Tvaraff;	int *Tvard, Tprod, cptcovprod, *Tvaraff;
double lsurv, lpop, *tpop;	double lsurv, lpop, *tpop;

Line 776 static int split( char path, char dirc	Line 920 static int split( char path, char dirc
the name of the file (name), its extension only (ext) and its first part of the name (finame)	the name of the file (name), its extension only (ext) and its first part of the name (finame)
*/	*/
char ss; / pointer */	char ss; / pointer */
int l1, l2; /* length counters */	int l1=0, l2=0; /* length counters */

l1 = strlen(path ); /* length of path */	l1 = strlen(path ); /* length of path */
if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH );	if ( l1 == 0 ) return( GLOCK_ERROR_NOPATH );
Line 787 static int split( char path, char dirc	Line 931 static int split( char path, char dirc
printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/	printf("Warning you should use %s as a separator\n",DIRSEPARATOR);*/
/* get current working directory */	/* get current working directory */
/* extern char* getcwd ( char buf , int len);/	/* extern char* getcwd ( char buf , int len);/
if ( getcwd( dirc, FILENAME_MAX ) == NULL ) {	#ifdef WIN32
	if (_getcwd( dirc, FILENAME_MAX ) == NULL ) {
	#else
	if (getcwd(dirc, FILENAME_MAX) == NULL) {
	#endif
return( GLOCK_ERROR_GETCWD );	return( GLOCK_ERROR_GETCWD );
}	}
/* got dirc from getcwd*/	/* got dirc from getcwd*/
Line 798 static int split( char path, char dirc	Line 946 static int split( char path, char dirc
if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH );	if ( l2 == 0 ) return( GLOCK_ERROR_NOPATH );
strcpy( name, ss ); /* save file name */	strcpy( name, ss ); /* save file name */
strncpy( dirc, path, l1 - l2 ); /* now the directory */	strncpy( dirc, path, l1 - l2 ); /* now the directory */
dirc[l1-l2] = 0; /* add zero */	dirc[l1-l2] = '\0'; /* add zero */
printf(" DIRC2 = %s \n",dirc);	printf(" DIRC2 = %s \n",dirc);
}	}
/* We add a separator at the end of dirc if not exists */	/* We add a separator at the end of dirc if not exists */
Line 850 char trimbb(char out, char *in)	Line 998 char trimbb(char out, char *in)
return s;	return s;
}	}

	/* char substrchaine(char out, char in, char chain) */
	/* { */
	/* /\* Substract chain 'chain' from 'in', return and output 'out' \/ /
	/* char s, t; */
	/* t=in;s=out; */
	/* while ((in != chain) && (in != '\0')){ /
	/* out++ = in++; */
	/* } */

	/* /\* in matches chain \/ /
	/* while ((in++ == chain++) && (in != '\0')){ /
	/* printf("in = %c, out= %c chain= %c \n", in, out, chain); */
	/* } */
	/* in--; chain--; */
	/* while ( (in != '\0')){ /
	/* printf("Bef in = %c, out= %c chain= %c \n", in, out, chain); */
	/* out++ = in++; */
	/* printf("Aft in = %c, out= %c chain= %c \n", in, out, chain); */
	/* } */
	/* out='\0'; /
	/* out=s; */
	/* return out; */
	/* } */
	char substrchaine(char out, char in, char chain)
	{
	/* Substract chain 'chain' from 'in', return and output 'out' */
	/* in="V1+V1age+ageage+V2", chain="ageage" /

	char *strloc;

	strcpy (out, in);
	strloc = strstr(out, chain); /* strloc points to out at ageage+V2 /
	printf("Bef strloc=%s chain=%s out=%s \n", strloc, chain, out);
	if(strloc != NULL){
	/* will affect out / / strloc+strlenc(chain)=+V2 / / Will also work in Unicode */
	memmove(strloc,strloc+strlen(chain), strlen(strloc+strlen(chain))+1);
	/* strcpy (strloc, strloc +strlen(chain));*/
	}
	printf("Aft strloc=%s chain=%s in=%s out=%s \n", strloc, chain, in, out);
	return out;
	}


char cutl(char blocc, char alocc, char in, char occ)	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'	/* 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')	and alocc starts after first occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')
gives blocc="abcdef2ghi" and alocc="j".	gives blocc="abcdef" and alocc="ghi2j".
If occ is not found blocc is null and alocc is equal to in. Returns blocc	If occ is not found blocc is null and alocc is equal to in. Returns blocc
*/	*/
char s, t;	char s, t;
Line 880 char cutl(char blocc, char *alocc, cha	Line 1071 char cutl(char blocc, char *alocc, cha
}	}
char cutv(char blocc, char alocc, char in, char occ)	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'	/* 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')	and alocc starts after last occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')
gives blocc="abcdef2ghi" and alocc="j".	gives blocc="abcdef2ghi" and alocc="j".
If occ is not found blocc is null and alocc is equal to in. Returns alocc	If occ is not found blocc is null and alocc is equal to in. Returns alocc
Line 1191 double f1dim(double x)	Line 1382 double f1dim(double x)

/***************brent ***********************/	/***************brent ***********************/
double brent(double ax, double bx, double cx, double (f)(double), double tol, double xmin)	double brent(double ax, double bx, double cx, double (f)(double), double tol, double xmin)
{	{
	/* Given a function f, and given a bracketing triplet of abscissas ax, bx, cx (such that bx is
	* between ax and cx, and f(bx) is less than both f(ax) and f(cx) ), this routine isolates
	* the minimum to a fractional precision of about tol using Brent’s method. The abscissa of
	* the minimum is returned as xmin, and the minimum function value is returned as brent , the
	* returned function value.
	*/
int iter;	int iter;
double a,b,d,etemp;	double a,b,d,etemp;
double fu=0,fv,fw,fx;	double fu=0,fv,fw,fx;
Line 1244 double brent(double ax, double bx, doubl	Line 1441 double brent(double ax, double bx, doubl
if (fu <= fx) {	if (fu <= fx) {
if (u >= x) a=x; else b=x;	if (u >= x) a=x; else b=x;
SHFT(v,w,x,u)	SHFT(v,w,x,u)
SHFT(fv,fw,fx,fu)	SHFT(fv,fw,fx,fu)
} else {	} else {
if (u < x) a=u; else b=u;	if (u < x) a=u; else b=u;
if (fu <= fw \|\| w == x) {	if (fu <= fw \|\| w == x) {
v=w;	v=w;
w=u;	w=u;
fv=fw;	fv=fw;
fw=fu;	fw=fu;
} else if (fu <= fv \|\| v == x \|\| v == w) {	} else if (fu <= fv \|\| v == x \|\| v == w) {
v=u;	v=u;
fv=fu;	fv=fu;
}	}
}	}
}	}
nrerror("Too many iterations in brent");	nrerror("Too many iterations in brent");
*xmin=x;	*xmin=x;
Line 1267 double brent(double ax, double bx, doubl	Line 1464 double brent(double ax, double bx, doubl

void mnbrak(double ax, double bx, double cx, double fa, double fb, double fc,	void mnbrak(double ax, double bx, double cx, double fa, double fb, double fc,
double (*func)(double))	double (*func)(double))
{	{ /* Given a function func , and given distinct initial points ax and bx , this routine searches in
	the downhill direction (defined by the function as evaluated at the initial points) and returns
	new points ax , bx , cx that bracket a minimum of the function. Also returned are the function
	values at the three points, fa, fb , and fc such that fa > fb and fb < fc.
	*/
double ulim,u,r,q, dum;	double ulim,u,r,q, dum;
double fu;	double fu;

fa=(func)(*ax);	double scale=10.;
fb=(func)(*bx);	int iterscale=0;

	fa=(func)(ax); / xta[j]=pcom[j]+(ax)xicom[j]; fa=f(xta[j])*/
	fb=(func)(bx); / xtb[j]=pcom[j]+(bx)xicom[j]; fb=f(xtb[j]) */


	/* while(fb != fb){ /\* ax should be ok, reducing distance to ax \/ /
	/* printf("Warning mnbrak fb = %lf, bx=%lf ax=%lf fa==%lf iter=%d\n",fb, bx, ax, fa, iterscale++); */
	/* bx = ax - (ax - bx)/scale; */
	/* fb=(func)(bx); /\ xtb[j]=pcom[j]+(bx)xicom[j]; fb=f(xtb[j]) \/ /
	/* } */

if (fb > fa) {	if (fb > fa) {
SHFT(dum,ax,bx,dum)	SHFT(dum,ax,bx,dum)
SHFT(dum,fb,fa,dum)	SHFT(dum,fb,fa,dum)
}	}
cx=(bx)+GOLD(bx-*ax);	cx=(bx)+GOLD(bx-*ax);
fc=(func)(*cx);	fc=(func)(*cx);
while (fb > fc) { /* Declining fa, fb, fc */	#ifdef DEBUG
	printf("mnbrak0 fb=%.12e fc=%.12e\n",fb,fc);
	fprintf(ficlog,"mnbrak0 fb=%.12e fc=%.12e\n",fb,fc);
	#endif
	while (fb > fc) { /* Declining a,b,c with fa> fb > fc */
r=(bx-ax)(fb-*fc);	r=(bx-ax)(fb-*fc);
q=(bx-cx)(fb-*fa);	q=(bx-cx)(fb-*fa);
u=(bx)-((bx-cx)q-(bx-ax)*r)/	u=(bx)-((bx-cx)q-(bx-ax)*r)/
(2.0SIGN(FMAX(fabs(q-r),TINY),q-r)); / Minimum abscisse of a parabolic estimated from (a,fa), (b,fb) and (c,fc). */	(2.0SIGN(FMAX(fabs(q-r),TINY),q-r)); / Minimum abscissa of a parabolic estimated from (a,fa), (b,fb) and (c,fc). */
ulim=(bx)+GLIMIT(cx-bx); /* Maximum abscisse where function can be evaluated */	ulim=(bx)+GLIMIT(cx-bx); /* Maximum abscissa where function should be evaluated */
if ((bx-u)(u-cx) > 0.0) { / if u between b and c */	if ((bx-u)(u-cx) > 0.0) { / if u_p is between b and c */
fu=(*func)(u);	fu=(*func)(u);
#ifdef DEBUG	#ifdef DEBUG
/* f(x)=A(x-u)*2+f(u) /	/* f(x)=A(x-u)*2+f(u) /
Line 1294 void mnbrak(double ax, double bx, doub	Line 1510 void mnbrak(double ax, double bx, doub
fparabu= fa - A(ax-u)(*ax-u);	fparabu= fa - A(ax-u)(*ax-u);
printf("mnbrak (ax=%.12f, fa=%.12lf), (bx=%.12f, fb=%.12lf), (cx=%.12f, fc=%.12lf), (u=%.12f, fu=%.12lf, fparabu=%.12f)\n",ax,fa,bx,fb,cx,*fc,u,fu, fparabu);	printf("mnbrak (ax=%.12f, fa=%.12lf), (bx=%.12f, fb=%.12lf), (cx=%.12f, fc=%.12lf), (u=%.12f, fu=%.12lf, fparabu=%.12f)\n",ax,fa,bx,fb,cx,*fc,u,fu, fparabu);
fprintf(ficlog, "mnbrak (ax=%.12f, fa=%.12lf), (bx=%.12f, fb=%.12lf), (cx=%.12f, fc=%.12lf), (u=%.12f, fu=%.12lf, fparabu=%.12f)\n",ax,fa,bx,fb,cx,*fc,u,fu, fparabu);	fprintf(ficlog, "mnbrak (ax=%.12f, fa=%.12lf), (bx=%.12f, fb=%.12lf), (cx=%.12f, fc=%.12lf), (u=%.12f, fu=%.12lf, fparabu=%.12f)\n",ax,fa,bx,fb,cx,*fc,u,fu, fparabu);
	/* And thus,it can be that fu > fc even if fparabu < fc */
	/* mnbrak (ax=7.666299858533, fa=299039.693133272231), (bx=8.595447774979, fb=298976.598289369489),
	(cx=10.098840694817, fc=298946.631474258087), (u=9.852501168332, fu=298948.773013752128, fparabu=298945.434711494134) /
	/* In that case, there is no bracket in the output! Routine is wrong with many consequences.*/
#endif	#endif
	#ifdef MNBRAKORIGINAL
	#else
	/* if (fu > fc) { /
	/* #ifdef DEBUG */
	/* printf("mnbrak4 fu > fc \n"); */
	/* fprintf(ficlog, "mnbrak4 fu > fc\n"); */
	/* #endif */
	/* /\* SHFT(u,cx,cx,u) /\\* ie a=c, c=u and u=c; in that case, next SHFT(a,b,c,u) will give a=b=b, b=c=u, c=u=c and \\/ \/ */
	/* /\* SHFT(fa,fc,fu,fc) /\\ (b, u, c) is a bracket while test fb > fc will be fu > fc will exit \\/ \/ */
	/* dum=u; /\* Shifting c and u \/ /
	/* u = cx; /
	/* cx = dum; /
	/* dum = fu; */
	/* fu = fc; /
	/* fc =dum; /
	/* } else { /\* end \/ /
	/* #ifdef DEBUG */
	/* printf("mnbrak3 fu < fc \n"); */
	/* fprintf(ficlog, "mnbrak3 fu < fc\n"); */
	/* #endif */
	/* dum=u; /\* Shifting c and u \/ /
	/* u = cx; /
	/* cx = dum; /
	/* dum = fu; */
	/* fu = fc; /
	/* fc =dum; /
	/* } */
	#ifdef DEBUG
	printf("mnbrak34 fu < or >= fc \n");
	fprintf(ficlog, "mnbrak34 fu < fc\n");
	#endif
	dum=u; /* Shifting c and u */
	u = *cx;
	*cx = dum;
	dum = fu;
	fu = *fc;
	*fc =dum;
	#endif
} else if ((cx-u)(u-ulim) > 0.0) { /* u is after c but before ulim */	} else if ((cx-u)(u-ulim) > 0.0) { /* u is after c but before ulim */
	#ifdef DEBUG
	printf("mnbrak2 u after c but before ulim\n");
	fprintf(ficlog, "mnbrak2 u after c but before ulim\n");
	#endif
fu=(*func)(u);	fu=(*func)(u);
if (fu < *fc) {	if (fu < *fc) {
	#ifdef DEBUG
	printf("mnbrak2 u after c but before ulim AND fu < fc\n");
	fprintf(ficlog, "mnbrak2 u after c but before ulim AND fu <fc \n");
	#endif
SHFT(bx,cx,u,cx+GOLD(cx-bx))	SHFT(bx,cx,u,cx+GOLD(cx-bx))
SHFT(fb,fc,fu,(*func)(u))	SHFT(fb,fc,fu,(*func)(u))
}	}
} else if ((u-ulim)(ulim-cx) >= 0.0) { /* u outside ulim (verifying that ulim is beyond c) */	} else if ((u-ulim)(ulim-cx) >= 0.0) { /* u outside ulim (verifying that ulim is beyond c) */
	#ifdef DEBUG
	printf("mnbrak2 u outside ulim (verifying that ulim is beyond c)\n");
	fprintf(ficlog, "mnbrak2 u outside ulim (verifying that ulim is beyond c)\n");
	#endif
u=ulim;	u=ulim;
fu=(*func)(u);	fu=(*func)(u);
} else {	} else { /* u could be left to b (if r > q parabola has a maximum) */
	#ifdef DEBUG
	printf("mnbrak2 u could be left to b (if r > q parabola has a maximum)\n");
	fprintf(ficlog, "mnbrak2 u could be left to b (if r > q parabola has a maximum)\n");
	#endif
u=(cx)+GOLD(cx-bx);	u=(cx)+GOLD(cx-bx);
fu=(*func)(u);	fu=(*func)(u);
}	} /* end tests */
SHFT(ax,bx,*cx,u)	SHFT(ax,bx,*cx,u)
SHFT(fa,fb,*fc,fu)	SHFT(fa,fb,*fc,fu)
}	#ifdef DEBUG
	printf("mnbrak2 (ax=%.12f, fa=%.12lf), (bx=%.12f, fb=%.12lf), (cx=%.12f, fc=%.12lf), (u=%.12f, fu=%.12lf)\n",ax,fa,bx,fb,cx,*fc,u,fu);
	fprintf(ficlog, "mnbrak2 (ax=%.12f, fa=%.12lf), (bx=%.12f, fb=%.12lf), (cx=%.12f, fc=%.12lf), (u=%.12f, fu=%.12lf)\n",ax,fa,bx,fb,cx,*fc,u,fu);
	#endif
	} /* end while; ie return (a, b, c, fa, fb, fc) such that a < b < c with f(a) > f(b) and fb < f(c) */
}	}

/************* linmin **********************/	/************* linmin **********************/
Line 1333 void linmin(double p[], double xi[], int	Line 1611 void linmin(double p[], double xi[], int
int j;	int j;
double xx,xmin,bx,ax;	double xx,xmin,bx,ax;
double fx,fb,fa;	double fx,fb,fa;

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

ncom=n;	ncom=n;
pcom=vector(1,n);	pcom=vector(1,n);
xicom=vector(1,n);	xicom=vector(1,n);
nrfunc=func;	nrfunc=func;
for (j=1;j<=n;j++) {	for (j=1;j<=n;j++) {
pcom[j]=p[j];	pcom[j]=p[j];
xicom[j]=xi[j];	xicom[j]=xi[j]; /* Former scale xi[j] of currrent direction i */
}	}
ax=0.0;
xx=1.0;	#ifdef LINMINORIGINAL
mnbrak(&ax,&xx,&bx,&fa,&fx,&fb,f1dim); /* Find a bracket a,x,b in direction n=xi ie xicom */	xx=1.;
fret=brent(ax,xx,bx,f1dim,TOL,&xmin); / Find a minimum P+lambda n in that direction (lambdamin), with TOL between abscisses */	#else
	axs=0.0;
	xxs=1.;
	do{
	xx= xxs;
	#endif
	ax=0.;
	mnbrak(&ax,&xx,&bx,&fa,&fx,&fb,f1dim); /* Outputs: xtx[j]=pcom[j]+(xx)xicom[j]; fx=f(xtx[j]) */
	/* brackets with inputs ax=0 and xx=1, but points, pcom=p, and directions values, xicom=xi, are sent via f1dim(x) */
	/* xt[x,j]=pcom[j]+xxicom[j] f(ax) = f(xt(a,j=1,n)) = f(p(j) + 0 xi(j)) and f(xx) = f(xt(x, j=1,n)) = f(p(j) + 1 * xi(j)) */
	/* Outputs: fa=f(p(j)) and fx=f(p(j) + xxs * xi(j) ) and f(bx)= f(p(j)+ bx* xi(j)) */
	/* Given input ax=axs and xx=xxs, xx might be too far from ax to get a finite f(xx) */
	/* Searches on line, outputs (ax, xx, bx) such that fx < min(fa and fb) */
	/* Find a bracket a,x,b in direction n=xi ie xicom, order may change. Scale is [0:xxsxi[j]] et non plus [0:xi[j]]/
	#ifdef LINMINORIGINAL
	#else
	if (fx != fx){
	xxs=xxs/scale; /* Trying a smaller xx, closer to initial ax=0 */
	printf("\|");
	fprintf(ficlog,"\|");
	#ifdef DEBUGLINMIN
	printf("\nLinmin NAN : input [axs=%lf:xxs=%lf], mnbrak outputs fx=%lf <(fb=%lf and fa=%lf) with xx=%lf in [ax=%lf:bx=%lf] \n", axs, xxs, fx,fb, fa, xx, ax, bx);
	#endif
	}
	}while(fx != fx);
	#endif

	#ifdef DEBUGLINMIN
	printf("\nLinmin after mnbrak: ax=%12.7f xx=%12.7f bx=%12.7f fa=%12.2f fx=%12.2f fb=%12.2f\n", ax,xx,bx,fa,fx,fb);
	fprintf(ficlog,"\nLinmin after mnbrak: ax=%12.7f xx=%12.7f bx=%12.7f fa=%12.2f fx=%12.2f fb=%12.2f\n", ax,xx,bx,fa,fx,fb);
	#endif
	fret=brent(ax,xx,bx,f1dim,TOL,&xmin); / Giving a bracketting triplet (ax, xx, bx), find a minimum, xmin, according to f1dim, fret(xmin),/
	/* fa = f(p[j] + ax * xi[j]), fx = f(p[j] + xx * xi[j]), fb = f(p[j] + bx * xi[j]) */
	/* fmin = f(p[j] + xmin * xi[j]) */
	/* P+lambda n in that direction (lambdamin), with TOL between abscisses */
	/* f1dim(xmin): for (j=1;j<=ncom;j++) xt[j]=pcom[j]+xminxicom[j]; /
#ifdef DEBUG	#ifdef DEBUG
printf("retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);	printf("retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);
fprintf(ficlog,"retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);	fprintf(ficlog,"retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);
#endif	#endif
	#ifdef DEBUGLINMIN
	printf("linmin end ");
	fprintf(ficlog,"linmin end ");
	#endif
for (j=1;j<=n;j++) {	for (j=1;j<=n;j++) {
	#ifdef LINMINORIGINAL
xi[j] *= xmin;	xi[j] *= xmin;
p[j] += xi[j];	#else
	#ifdef DEBUGLINMIN
	if(xxs <1.0)
	printf(" before xi[%d]=%12.8f", j,xi[j]);
	#endif
	xi[j] = xminxxs; /* xi rescaled by xmin and number of loops: if xmin=-1.237 and xi=(1,0,...,0) xi=(-1.237,0,...,0) */
	#ifdef DEBUGLINMIN
	if(xxs <1.0)
	printf(" after xi[%d]=%12.8f, xmin=%12.8f, ax=%12.8f, xx=%12.8f, bx=%12.8f, xxs=%12.8f", j,xi[j], xmin, ax, xx, bx,xxs );
	#endif
	#endif
	p[j] += xi[j]; /* Parameters values are updated accordingly */
}	}
	#ifdef DEBUGLINMIN
	printf("\n");
	printf("Comparing last frec(xmin=%12.8f)=%12.8f from Brent and frec(0.)=%12.8f \n", xmin, fret, (*func)(p));
	fprintf(ficlog,"Comparing last frec(xmin=%12.8f)=%12.8f from Brent and frec(0.)=%12.8f \n", xmin, fret, (*func)(p));
	for (j=1;j<=n;j++) {
	printf(" xi[%d]= %14.10f p[%d]= %12.7f",j,xi[j],j,p[j]);
	fprintf(ficlog," xi[%d]= %14.10f p[%d]= %12.7f",j,xi[j],j,p[j]);
	if(j % ncovmodel == 0){
	printf("\n");
	fprintf(ficlog,"\n");
	}
	}
	#else
	#endif
free_vector(xicom,1,n);	free_vector(xicom,1,n);
free_vector(pcom,1,n);	free_vector(pcom,1,n);
}	}
Line 1375 void powell(double p[], double **xi, int	Line 1723 void powell(double p[], double **xi, int
double (*func)(double []));	double (*func)(double []));
int i,ibig,j;	int i,ibig,j;
double del,t,pt,ptt,*xit;	double del,t,pt,ptt,*xit;
	double directest;
double fp,fptt;	double fp,fptt;
double *xits;	double *xits;
int niterf, itmp;	int niterf, itmp;
Line 1385 void powell(double p[], double **xi, int	Line 1734 void powell(double p[], double **xi, int
xits=vector(1,n);	xits=vector(1,n);
fret=(func)(p);	fret=(func)(p);
for (j=1;j<=n;j++) pt[j]=p[j];	for (j=1;j<=n;j++) pt[j]=p[j];
rcurr_time = time(NULL);	rcurr_time = time(NULL);
for (iter=1;;++(iter)) {	for (iter=1;;++(iter)) {
fp=(*fret);	fp=(fret); / From former iteration or initial value */
ibig=0;	ibig=0;
del=0.0;	del=0.0;
rlast_time=rcurr_time;	rlast_time=rcurr_time;
Line 1397 void powell(double p[], double **xi, int	Line 1746 void powell(double p[], double **xi, int
printf("\nPowell iter=%d -2LL=%.12f %ld sec. %ld sec.",iter,*fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout);	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(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); */	/* 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]);
fprintf(ficrespow," %.12lf", p[i]);	fprintf(ficrespow," %.12lf", p[i]);
Line 1425 void powell(double p[], double **xi, int	Line 1774 void powell(double p[], double **xi, int
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);	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++) { /* For each direction i */
for (j=1;j<=n;j++) xit[j]=xi[j][i];	for (j=1;j<=n;j++) xit[j]=xi[j][i]; /* Directions stored from previous iteration with previous scales */
fptt=(*fret);	fptt=(*fret);
#ifdef DEBUG	#ifdef DEBUG
printf("fret=%lf, %lf, %lf \n", fret, fret, *fret);	printf("fret=%lf, %lf, %lf \n", fret, fret, *fret);
fprintf(ficlog, "fret=%lf, %lf, %lf \n", fret, fret, *fret);	fprintf(ficlog, "fret=%lf, %lf, %lf \n", fret, fret, *fret);
#endif	#endif
printf("%d",i);fflush(stdout);	printf("%d",i);fflush(stdout); /* print direction (parameter) i */
fprintf(ficlog,"%d",i);fflush(ficlog);	fprintf(ficlog,"%d",i);fflush(ficlog);
linmin(p,xit,n,fret,func);	linmin(p,xit,n,fret,func); /* Point p[n]. xit[n] has been loaded for direction i as input.*/
if (fabs(fptt-(*fret)) > del) {	/* Outputs are fret(new point p) p is updated and xit rescaled */
	if (fabs(fptt-(fret)) > del) { / We are keeping the max gain on each of the n directions */
	/* because that direction will be replaced unless the gain del is small */
	/* in comparison with the 'probable' gain, mu^2, with the last average direction. */
	/* Unless the n directions are conjugate some gain in the determinant may be obtained */
	/* with the new direction. */
del=fabs(fptt-(*fret));	del=fabs(fptt-(*fret));
ibig=i;	ibig=i;
}	}
Line 1454 void powell(double p[], double **xi, int	Line 1808 void powell(double p[], double **xi, int
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
#endif	#endif
} /* end i */	} /* end loop on each direction i */
if (2.0fabs(fp-(fret)) <= ftol(fabs(fp)+fabs(fret))) {	/* Convergence test will use last linmin estimation (fret) and compare former iteration (fp) */
	/* But p and xit have been updated at the end of linmin, fret corresponds to new p, xit /
	/* New value of last point Pn is not computed, P(n-1) */
	if (2.0fabs(fp-(fret)) <= ftol(fabs(fp)+fabs(fret))) { /* Did we reach enough precision? */
	/* We could compare with a chi^2. chisquare(0.95,ddl=1)=3.84 */
	/* By adding ageage in a model, the new -2LL should be lower and the difference follows a /
	/* a chisquare statistics with 1 degree. To be significant at the 95% level, it should have */
	/* decreased of more than 3.84 */
	/* By adding ageage and V1age the gain (-2LL) should be more than 5.99 (ddl=2) */
	/* By using V1+V2+V3, the gain should be 7.82, compared with basic 1+age. */
	/* By adding 10 parameters more the gain should be 18.31 */

	/* Starting the program with initial values given by a former maximization will simply change */
	/* the scales of the directions and the directions, because the are reset to canonical directions */
	/* Thus the first calls to linmin will give new points and better maximizations until fp-(fret) is /
	/* under the tolerance value. If the tolerance is very small 1.e-9, it could last long. */
#ifdef DEBUG	#ifdef DEBUG
int k[2],l;	int k[2],l;
k[0]=1;	k[0]=1;
Line 1485 void powell(double p[], double **xi, int	Line 1854 void powell(double p[], double **xi, int
free_vector(ptt,1,n);	free_vector(ptt,1,n);
free_vector(pt,1,n);	free_vector(pt,1,n);
return;	return;
}	} /* enough precision */
if (*iter == ITMAX) nrerror("powell exceeding maximum iterations.");	if (*iter == ITMAX) nrerror("powell exceeding maximum iterations.");
for (j=1;j<=n;j++) { /* Computes an extrapolated point */	for (j=1;j<=n;j++) { /* Computes the extrapolated point P_0 + 2 (P_n-P_0) */
ptt[j]=2.0*p[j]-pt[j];	ptt[j]=2.0*p[j]-pt[j];
xit[j]=p[j]-pt[j];	xit[j]=p[j]-pt[j];
pt[j]=p[j];	pt[j]=p[j];
}	}
fptt=(*func)(ptt);	fptt=(func)(ptt); / f_3 */
	#ifdef POWELLF1F3
	#else
if (fptt < fp) { /* If extrapolated point is better, decide if we keep that new direction or not */	if (fptt < fp) { /* If extrapolated point is better, decide if we keep that new direction or not */
	#endif
/* (x1 f1=fp), (x2 f2=fret), (x3 f3=fptt), (xm fm) /	/* (x1 f1=fp), (x2 f2=fret), (x3 f3=fptt), (xm fm) /
/* From x1 (P0) distance of x2 is at h and x3 is 2h */	/* From x1 (P0) distance of x2 is at h and x3 is 2h */
/* Let f"(x2) be the 2nd derivative equal everywhere. */	/* Let f"(x2) be the 2nd derivative equal everywhere. */
/* Then the parabolic through (x1,f1), (x2,f2) and (x3,f3) */	/* Then the parabolic through (x1,f1), (x2,f2) and (x3,f3) */
/* will reach at f3 = fm + h^2/2 f"m ; f" = (f1 -2f2 +f3 ) / h*2 /	/* will reach at f3 = fm + h^2/2 f"m ; f" = (f1 -2f2 +f3 ) / h*2 /
/* f1-f3 = delta(2h) = 2 h*2 f'' = 2(f1- 2f2 +f3) /	/* Conditional for using this new direction is that mu^2 = (f1-2f2+f3)^2 /2 < del */
/* Thus we compare delta(2h) with observed f1-f3 */
/* or best gain on one ancient line 'del' with total */
/* gain f1-f2 = f1 - f2 - 'del' with del */
/* t=2.0(fp-2.0(fret)+fptt)SQR(fp-(fret)-del)-delSQR(fp-fptt); */	/* t=2.0(fp-2.0(fret)+fptt)SQR(fp-(fret)-del)-delSQR(fp-fptt); */
	#ifdef NRCORIGINAL
t=2.0(fp-2.0(fret)+fptt)SQR(fp-(*fret)-del);	t=2.0(fp-2.0(fret)+fptt)SQR(fp-(fret)-del)- delSQR(fp-fptt); /* Original Numerical Recipes in C*/
	#else
	t=2.0(fp-2.0(fret)+fptt)SQR(fp-(fret)-del); / Intel compiler doesn't work on one line; bug reported */
t= t- del*SQR(fp-fptt);	t= t- del*SQR(fp-fptt);
printf("t1= %.12lf, t2= %.12lf, t=%.12lf\n", 2.0(fp-2.0(fret)+fptt)SQR(fp-(fret)-del),delSQR(fp-fptt),t);	#endif
fprintf(ficlog,"t1= %.12lf, t2= %.12lf, t=%.12lf\n", 2.0(fp-2.0(fret)+fptt)SQR(fp-(fret)-del),delSQR(fp-fptt),t);	directest = fp-2.0(fret)+fptt - 2.0 * del; /* If delta was big enough we change it for a new direction */
#ifdef DEBUG	#ifdef DEBUG
	printf("t1= %.12lf, t2= %.12lf, t=%.12lf directest=%.12lf\n", 2.0(fp-2.0(fret)+fptt)SQR(fp-(fret)-del),delSQR(fp-fptt),t,directest);
	fprintf(ficlog,"t1= %.12lf, t2= %.12lf, t=%.12lf directest=%.12lf\n", 2.0(fp-2.0(fret)+fptt)SQR(fp-(fret)-del),delSQR(fp-fptt),t,directest);
printf("t3= %.12lf, t4= %.12lf, t3= %.12lf, t4= %.12lf\n",SQR(fp-(*fret)-del),SQR(fp-fptt),	printf("t3= %.12lf, t4= %.12lf, t3= %.12lf, t4= %.12lf\n",SQR(fp-(*fret)-del),SQR(fp-fptt),
(fp-(fret)-del)(fp-(fret)-del),(fp-fptt)(fp-fptt));	(fp-(fret)-del)(fp-(fret)-del),(fp-fptt)(fp-fptt));
fprintf(ficlog,"t3= %.12lf, t4= %.12lf, t3= %.12lf, t4= %.12lf\n",SQR(fp-(*fret)-del),SQR(fp-fptt),	fprintf(ficlog,"t3= %.12lf, t4= %.12lf, t3= %.12lf, t4= %.12lf\n",SQR(fp-(*fret)-del),SQR(fp-fptt),
Line 1517 void powell(double p[], double **xi, int	Line 1890 void powell(double p[], double **xi, int
printf("tt= %.12lf, t=%.12lf\n",2.0(fp-2.0(fret)+fptt)(fp-(fret)-del)(fp-(fret)-del)-del(fp-fptt)*(fp-fptt),t);	printf("tt= %.12lf, t=%.12lf\n",2.0(fp-2.0(fret)+fptt)(fp-(fret)-del)(fp-(fret)-del)-del(fp-fptt)*(fp-fptt),t);
fprintf(ficlog, "tt= %.12lf, t=%.12lf\n",2.0(fp-2.0(fret)+fptt)(fp-(fret)-del)(fp-(fret)-del)-del(fp-fptt)*(fp-fptt),t);	fprintf(ficlog, "tt= %.12lf, t=%.12lf\n",2.0(fp-2.0(fret)+fptt)(fp-(fret)-del)(fp-(fret)-del)-del(fp-fptt)*(fp-fptt),t);
#endif	#endif
if (t < 0.0) { /* Then we use it for last direction */	#ifdef POWELLORIGINAL
linmin(p,xit,n,fret,func); /* computes mean on the extrapolated direction.*/	if (t < 0.0) { /* Then we use it for new direction */
	#else
	if (directestt < 0.0) { / Contradiction between both tests */
	printf("directest= %.12lf (if <0 we include P0 Pn as new direction), t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt,del);
	printf("f1-2f2+f3= %.12lf, f1-f2-del= %.12lf, f1-f3= %.12lf\n",fp-2.0(fret)+fptt, fp -(*fret) -del, fp-fptt);
	fprintf(ficlog,"directest= %.12lf (if <0 we include P0 Pn as new direction), t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt, del);
	fprintf(ficlog,"f1-2f2+f3= %.12lf, f1-f2-del= %.12lf, f1-f3= %.12lf\n",fp-2.0(fret)+fptt, fp -(*fret) -del, fp-fptt);
	}
	if (directest < 0.0) { /* Then we use it for new direction */
	#endif
	#ifdef DEBUGLINMIN
	printf("Before linmin in direction P%d-P0\n",n);
for (j=1;j<=n;j++) {	for (j=1;j<=n;j++) {
xi[j][ibig]=xi[j][n]; /* Replace the direction with biggest decrease by n */	printf(" Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
xi[j][n]=xit[j]; /* and nth direction by the extrapolated */	fprintf(ficlog," Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
	if(j % ncovmodel == 0){
	printf("\n");
	fprintf(ficlog,"\n");
	}
}	}
printf("Gaining to use average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig);	#endif
fprintf(ficlog,"Gaining to use average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig);	linmin(p,xit,n,fret,func); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/
	#ifdef DEBUGLINMIN
	for (j=1;j<=n;j++) {
	printf("After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
	fprintf(ficlog,"After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
	if(j % ncovmodel == 0){
	printf("\n");
	fprintf(ficlog,"\n");
	}
	}
	#endif
	for (j=1;j<=n;j++) {
	xi[j][ibig]=xi[j][n]; /* Replace direction with biggest decrease by last direction n */
	xi[j][n]=xit[j]; /* and this nth direction by the by the average p_0 p_n */
	}
	printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig);
	fprintf(ficlog,"Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig);

#ifdef DEBUG	#ifdef DEBUG
printf("Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);	printf("Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
Line 1536 void powell(double p[], double **xi, int	Line 1940 void powell(double p[], double **xi, int
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
#endif	#endif
} /* end of t negative */	} /* end of t or directest negative */
	#ifdef POWELLF1F3
	#else
} /* end if (fptt < fp) */	} /* end if (fptt < fp) */
}	#endif
	} /* loop iteration */
}	}

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

double prevalim(double prlim, int nlstate, double x[], double age, double oldm, double savm, double ftolpl, int ij)	double prevalim(double prlim, int nlstate, double x[], double age, double oldm, double savm, double ftolpl, int *ncvyear, int ij)
{	{
/* Computes the prevalence limit in each live state at age x by left multiplying the unit	/* Computes the prevalence limit in each live state at age x by left multiplying the unit
matrix by transitions matrix until convergence is reached */	matrix by transitions matrix until convergence is reached with precision ftolpl */

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

for (ii=1;ii<=nlstate+ndeath;ii++)	for (ii=1;ii<=nlstate+ndeath;ii++)
for (j=1;j<=nlstate+ndeath;j++){	for (j=1;j<=nlstate+ndeath;j++){
Line 1563 double prevalim(double prlim, int nl	Line 1971 double prevalim(double prlim, int nl
cov[1]=1.;	cov[1]=1.;

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

/printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);/	/printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);/
/printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);/	/printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);/
Line 1593 double prevalim(double prlim, int nl	Line 2008 double prevalim(double prlim, int nl
sumnew=0;	sumnew=0;
for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];	for(k=1; k<=ndeath; k++) sumnew+=newm[i][nlstate+k];
prlim[i][j]= newm[i][j]/(1-sumnew);	prlim[i][j]= newm[i][j]/(1-sumnew);
/printf(" prevalim i=%d, j=%d, prmlim[%d][%d]=%f, agefin=%d \n", i, j, i, j, prlim[i][j],(int)agefin);/
max=FMAX(max,prlim[i][j]);	max=FMAX(max,prlim[i][j]);
min=FMIN(min,prlim[i][j]);	min=FMIN(min,prlim[i][j]);
	/* printf(" age= %d prevalim i=%d, j=%d, prmlim[%d][%d]=%f, agefin=%d max=%f min=%f\n", (int)age, i, j, i, j, prlim[i][j],(int)agefin, max, min); */
}	}
maxmin=max-min;	maxmin=(max-min)/(max+min)*2;
maxmax=FMAX(maxmax,maxmin);	maxmax=FMAX(maxmax,maxmin);
} /* j loop */	} /* j loop */
	*ncvyear= (int)age- (int)agefin;
	/* printf("maxmax=%lf maxmin=%lf ncvloop=%ld, age=%d, agefin=%d ncvyear=%d \n", maxmax, maxmin, ncvloop, (int)age, (int)agefin, ncvyear); /
if(maxmax < ftolpl){	if(maxmax < ftolpl){
	/* printf("maxmax=%lf maxmin=%lf ncvloop=%ld, age=%d, agefin=%d ncvyear=%d \n", maxmax, maxmin, ncvloop, (int)age, (int)agefin, ncvyear); /
return prlim;	return prlim;
}	}
} /* age loop */	} /* age loop */
	printf("Warning: the stable prevalence at age %d did not converge with the required precision %g > ftolpl=%g. \n\
	Earliest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear);
	/* Try to lower 'ftol', for example from 1.e-8 to 6.e-9.\n", ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, (int)age-(int)agefin); */
return prlim; /* should not reach here */	return prlim; /* should not reach here */
}	}

Line 1728 double *hpxij(double *po, int nhstep	Line 2149 double *hpxij(double *po, int nhstep
int i, j, d, h, k;	int i, j, d, h, k;
double **out, cov[NCOVMAX+1];	double **out, cov[NCOVMAX+1];
double **newm;	double **newm;
	double agexact;

/* Hstepm could be zero and should return the unit matrix */	/* Hstepm could be zero and should return the unit matrix */
for (i=1;i<=nlstate+ndeath;i++)	for (i=1;i<=nlstate+ndeath;i++)
Line 1741 double *hpxij(double *po, int nhstep	Line 2163 double *hpxij(double *po, int nhstep
newm=savm;	newm=savm;
/* Covariates have to be included here again */	/* Covariates have to be included here again */
cov[1]=1.;	cov[1]=1.;
cov[2]=age+((h-1)hstepm + (d-1))stepm/YEARM;	agexact=age+((h-1)hstepm + (d-1))stepm/YEARM;
	cov[2]=agexact;
	if(nagesqr==1)
	cov[3]= agexact*agexact;
for (k=1; k<=cptcovn;k++)	for (k=1; k<=cptcovn;k++)
cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];	cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)];
for (k=1; k<=cptcovage;k++)	/* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */
cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];	for (k=1; k<=cptcovage;k++) /* Should start at cptcovn+1 */
	/* cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; /
	cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2];
	/* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]cov[2]; /
for (k=1; k<=cptcovprod;k++) /* Useless because included in cptcovn */	for (k=1; k<=cptcovprod;k++) /* Useless because included in cptcovn */
cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]];	cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)];
	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])]nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; /


/printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);/	/printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);/
Line 1799 double func( double *x)	Line 2228 double func( double *x)
int s1, s2;	int s1, s2;
double bbh, survp;	double bbh, survp;
long ipmx;	long ipmx;
	double agexact;
/extern weight /	/extern weight /
/* We are differentiating ll according to initial status */	/* We are differentiating ll according to initial status */
/* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/	/* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/
Line 1820 double func( double *x)	Line 2250 double func( double *x)
to be observed in j being in i according to the model.	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 */	for (k=1; k<=cptcovn;k++){ /* Simple and product covariates without age* products */
cov[2+k]=covar[Tvar[k]][i];	cov[2+nagesqr+k]=covar[Tvar[k]][i];
}	}
/* In model V2+V1V4+ageV3+V3V2 Tvar[1] is V2, Tvar[2=V1V4]	/* 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]	is 6, Tvar[3=ageV3] should not be computed because of age Tvar[4=V3V2]
Line 1833 double func( double *x)	Line 2263 double func( double *x)
}	}
for(d=0; d<dh[mi][i]; d++){	for(d=0; d<dh[mi][i]; d++){
newm=savm;	newm=savm;
cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;	agexact=agev[mw[mi][i]][i]+d*stepm/YEARM;
	cov[2]=agexact;
	if(nagesqr==1)
	cov[3]= agexact*agexact;
for (kk=1; kk<=cptcovage;kk++) {	for (kk=1; kk<=cptcovage;kk++) {
cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]cov[2]; / Tage[kk] gives the data-covariate associated with age */	cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]agexact; / 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 1887 double func( double *x)	Line 2320 double func( double *x)
which slows down the processing. The difference can be up to 10%	which slows down the processing. The difference can be up to 10%
lower mortality.	lower mortality.
*/	*/
lli=log(out[s1][s2] - savm[s1][s2]);	/* If, at the beginning of the maximization mostly, the
	cumulative probability or probability to be dead is
	constant (ie = 1) over time d, the difference is equal to
	0. out[s1][3] = savm[s1][3]: probability, being at state
	s1 at precedent wave, to be dead a month before current
	wave is equal to probability, being at state s1 at
	precedent wave, to be dead at mont of the current
	wave. Then the observed probability (that this person died)
	is null according to current estimated parameter. In fact,
	it should be very low but not zero otherwise the log go to
	infinity.
	*/
	/* #ifdef INFINITYORIGINAL */
	/* lli=log(out[s1][s2] - savm[s1][s2]); */
	/* #else */
	/* if ((out[s1][s2] - savm[s1][s2]) < mytinydouble) */
	/* lli=log(mytinydouble); */
	/* else */
	/* lli=log(out[s1][s2] - savm[s1][s2]); */
	/* #endif */
	lli=log(out[s1][s2] - savm[s1][s2]);

} else if (s2==-2) {	} else if (s2==-2) {
for (j=1,survp=0. ; j<=nlstate; j++)	for (j=1,survp=0. ; j<=nlstate; j++)
Line 1919 double func( double *x)	Line 2371 double func( double *x)
ipmx +=1;	ipmx +=1;
sw += weight[i];	sw += weight[i];
ll[s[mw[mi][i]][i]] += 2weight[i]lli;	ll[s[mw[mi][i]][i]] += 2weight[i]lli;
	/* if (lli < log(mytinydouble)){ */
	/* printf("Close to inf lli = %.10lf < %.10lf i= %d mi= %d, s[%d][i]=%d s1=%d s2=%d\n", lli,log(mytinydouble), i, mi,mw[mi][i], s[mw[mi][i]][i], s1,s2); */
	/* fprintf(ficlog,"Close to inf lli = %.10lf i= %d mi= %d, s[mw[mi][i]][i]=%d\n", lli, i, mi,s[mw[mi][i]][i]); */
	/* } */
} /* end of wave */	} /* end of wave */
} /* end of individual */	} /* end of individual */
} else if(mle==2){	} else if(mle==2){
for (i=1,ipmx=0, sw=0.; i<=imx; i++){	for (i=1,ipmx=0, sw=0.; i<=imx; i++){
for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];	for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i];
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 1932 double func( double *x)	Line 2388 double func( double *x)
}	}
for(d=0; d<=dh[mi][i]; d++){	for(d=0; d<=dh[mi][i]; d++){
newm=savm;	newm=savm;
cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;	agexact=agev[mw[mi][i]][i]+d*stepm/YEARM;
	cov[2]=agexact;
	if(nagesqr==1)
	cov[3]= agexact*agexact;
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+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact;
}	}
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 1953 double func( double *x)	Line 2412 double func( double *x)
} /* end of individual */	} /* end of individual */
} else if(mle==3){ /* exponential inter-extrapolation */	} else if(mle==3){ /* exponential inter-extrapolation */
for (i=1,ipmx=0, sw=0.; i<=imx; i++){	for (i=1,ipmx=0, sw=0.; i<=imx; i++){
for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];	for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i];
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 1962 double func( double *x)	Line 2421 double func( double *x)
}	}
for(d=0; d<dh[mi][i]; d++){	for(d=0; d<dh[mi][i]; d++){
newm=savm;	newm=savm;
cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;	agexact=agev[mw[mi][i]][i]+d*stepm/YEARM;
	cov[2]=agexact;
	if(nagesqr==1)
	cov[3]= agexact*agexact;
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+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact;
}	}
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 1983 double func( double *x)	Line 2445 double func( double *x)
} /* end of individual */	} /* end of individual */
}else if (mle==4){ /* ml=4 no inter-extrapolation */	}else if (mle==4){ /* ml=4 no inter-extrapolation */
for (i=1,ipmx=0, sw=0.; i<=imx; i++){	for (i=1,ipmx=0, sw=0.; i<=imx; i++){
for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];	for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i];
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 1992 double func( double *x)	Line 2454 double func( double *x)
}	}
for(d=0; d<dh[mi][i]; d++){	for(d=0; d<dh[mi][i]; d++){
newm=savm;	newm=savm;
cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;	agexact=agev[mw[mi][i]][i]+d*stepm/YEARM;
	cov[2]=agexact;
	if(nagesqr==1)
	cov[3]= agexact*agexact;
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+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact;
}	}

out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,	out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
Line 2018 double func( double *x)	Line 2483 double func( double *x)
} /* end of individual */	} /* end of individual */
}else{ /* ml=5 no inter-extrapolation no jackson =0.8a */	}else{ /* ml=5 no inter-extrapolation no jackson =0.8a */
for (i=1,ipmx=0, sw=0.; i<=imx; i++){	for (i=1,ipmx=0, sw=0.; i<=imx; i++){
for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];	for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i];
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 2027 double func( double *x)	Line 2492 double func( double *x)
}	}
for(d=0; d<dh[mi][i]; d++){	for(d=0; d<dh[mi][i]; d++){
newm=savm;	newm=savm;
cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;	agexact=agev[mw[mi][i]][i]+d*stepm/YEARM;
	cov[2]=agexact;
	if(nagesqr==1)
	cov[3]= agexact*agexact;
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+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact;
}	}

out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,	out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
Line 2065 double funcone( double *x)	Line 2533 double funcone( double *x)
double llt;	double llt;
int s1, s2;	int s1, s2;
double bbh, survp;	double bbh, survp;
	double agexact;
/extern weight /	/extern weight /
/* We are differentiating ll according to initial status */	/* We are differentiating ll according to initial status */
/* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/	/* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/
Line 2076 double funcone( double *x)	Line 2545 double funcone( double *x)
for(k=1; k<=nlstate; k++) ll[k]=0.;	for(k=1; k<=nlstate; k++) ll[k]=0.;

for (i=1,ipmx=0, sw=0.; i<=imx; i++){	for (i=1,ipmx=0, sw=0.; i<=imx; i++){
for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];	for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i];
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 2085 double funcone( double *x)	Line 2554 double funcone( double *x)
}	}
for(d=0; d<dh[mi][i]; d++){	for(d=0; d<dh[mi][i]; d++){
newm=savm;	newm=savm;
cov[2]=agev[mw[mi][i]][i]+d*stepm/YEARM;	agexact=agev[mw[mi][i]][i]+d*stepm/YEARM;
	cov[2]=agexact;
	if(nagesqr==1)
	cov[3]= agexact*agexact;
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+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact;
}	}

/* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */	/* 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));
Line 2127 double funcone( double *x)	Line 2600 double funcone( double *x)
ll[s[mw[mi][i]][i]] += 2weight[i]lli;	ll[s[mw[mi][i]][i]] += 2weight[i]lli;
/printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); /	/printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); /
if(globpr){	if(globpr){
fprintf(ficresilk,"%9ld %6d %2d %2d %1d %1d %3d %11.6f %8.4f\	fprintf(ficresilk,"%9ld %6.1f %6d %2d %2d %2d %2d %3d %11.6f %8.4f\
%11.6f %11.6f %11.6f ", \	%11.6f %11.6f %11.6f ", \
num[i],i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],	num[i], agexact, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],
2weight[i]lli,out[s1][s2],savm[s1][s2]);	2weight[i]lli,out[s1][s2],savm[s1][s2]);
for(k=1,llt=0.,l=0.; k<=nlstate; k++){	for(k=1,llt=0.,l=0.; k<=nlstate; k++){
llt +=ll[k]*gipmx/gsw;	llt +=ll[k]*gipmx/gsw;
Line 2161 void likelione(FILE *ficres,double p[],	Line 2634 void likelione(FILE *ficres,double p[],
int k;	int k;

if(globpri !=0){ / Just counts and sums, no printings */	if(globpri !=0){ / Just counts and sums, no printings */
strcpy(fileresilk,"ilk");	strcpy(fileresilk,"ILK_");
strcat(fileresilk,fileres);	strcat(fileresilk,fileresu);
if((ficresilk=fopen(fileresilk,"w"))==NULL) {	if((ficresilk=fopen(fileresilk,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresilk);	printf("Problem with resultfile: %s\n", fileresilk);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk);	fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk);
}	}
fprintf(ficresilk, "#individual(line's_record) s1 s2 wave# effective_wave# number_of_matrices_product pij weight -2ln(pij)weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2llweightXnumber_of_contribs/sum_of_weights) and_total\n");	fprintf(ficresilk, "#individual(line's_record) s1 s2 wave# effective_wave# number_of_matrices_product pij weight -2ln(pij)weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2llweightXnumber_of_contribs/sum_of_weights) and_total\n");
fprintf(ficresilk, "#num_i i s1 s2 mi mw dh likeli weight 2wlli out sav ");	fprintf(ficresilk, "#num_i age i s1 s2 mi mw dh likeli weight 2wlli out sav ");
/* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2weight[i]lli,out[s1][s2],savm[s1][s2]); */	/* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2weight[i]lli,out[s1][s2],savm[s1][s2]); */
for(k=1; k<=nlstate; k++)	for(k=1; k<=nlstate; k++)
fprintf(ficresilk," -2gipw/gswweight*ll[%d]++",k);	fprintf(ficresilk," -2gipw/gswweight*ll[%d]++",k);
Line 2178 void likelione(FILE *ficres,double p[],	Line 2651 void likelione(FILE *ficres,double p[],
fretone=(funcone)(p);	fretone=(funcone)(p);
if(*globpri !=0){	if(*globpri !=0){
fclose(ficresilk);	fclose(ficresilk);
fprintf(fichtm,"\n<br>File of contributions to the likelihood: <a href=\"%s\">%s</a><br>\n",subdirf(fileresilk),subdirf(fileresilk));	fprintf(fichtm,"\n<br>File of contributions to the likelihood computed with initial parameters and mle >= 1. You should at least run with mle >= 1 and starting values corresponding to the optimized parameters in order to visualize the real contribution of each individual/wave: <a href=\"%s\">%s</a><br>\n",subdirf(fileresilk),subdirf(fileresilk));
fflush(fichtm);	fprintf(fichtm,"<br>- The first 3 individuals are drawn with lines. The function drawn is -2Log(L) in log scale: <a href=\"%s.png\">%s.png</a><br> \
	<img src=\"%s.png\">",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"));
	fflush(fichtm);
}	}
return;	return;
}	}
Line 2211 void mlikeli(FILE *ficres,double p[], in	Line 2686 void mlikeli(FILE *ficres,double p[], in
for (j=1;j<=npar;j++)	for (j=1;j<=npar;j++)
xi[i][j]=(i==j ? 1.0 : 0.0);	xi[i][j]=(i==j ? 1.0 : 0.0);
printf("Powell\n"); fprintf(ficlog,"Powell\n");	printf("Powell\n"); fprintf(ficlog,"Powell\n");
strcpy(filerespow,"pow");	strcpy(filerespow,"POW_");
strcat(filerespow,fileres);	strcat(filerespow,fileres);
if((ficrespow=fopen(filerespow,"w"))==NULL) {	if((ficrespow=fopen(filerespow,"w"))==NULL) {
printf("Problem with resultfile: %s\n", filerespow);	printf("Problem with resultfile: %s\n", filerespow);
Line 2256 void mlikeli(FILE *ficres,double p[], in	Line 2731 void mlikeli(FILE *ficres,double p[], in
fclose(ficrespow);	fclose(ficrespow);
printf("\n#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));	printf("\n#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));
fprintf(ficlog,"\n#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));	fprintf(ficlog,"\n#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));
fprintf(ficres,"\n#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));	fprintf(ficres,"#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));

}	}

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

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

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

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

Line 2290 void hesscov(double **matcov, double p[]	Line 2765 void hesscov(double **matcov, double p[]
for (i=1;i<=npar;i++) {	for (i=1;i<=npar;i++) {
for (j=1;j<=npar;j++) {	for (j=1;j<=npar;j++) {
if (j>i) {	if (j>i) {
printf(".%d%d",i,j);fflush(stdout);	printf(".%d-%d",i,j);fflush(stdout);
fprintf(ficlog,".%d%d",i,j);fflush(ficlog);	fprintf(ficlog,".%d-%d",i,j);fflush(ficlog);
hess[i][j]=hessij(p,delti,i,j,func,npar);	hess[i][j]=hessij(p,hess, delti,i,j,func,npar);

hess[j][i]=hess[i][j];	hess[j][i]=hess[i][j];
/printf(" %lf ",hess[i][j]);/	/printf(" %lf ",hess[i][j]);/
Line 2326 void hesscov(double **matcov, double p[]	Line 2801 void hesscov(double **matcov, double p[]
fprintf(ficlog,"\n#Hessian matrix#\n");	fprintf(ficlog,"\n#Hessian matrix#\n");
for (i=1;i<=npar;i++) {	for (i=1;i<=npar;i++) {
for (j=1;j<=npar;j++) {	for (j=1;j<=npar;j++) {
printf("%.3e ",hess[i][j]);	printf("%.6e ",hess[i][j]);
fprintf(ficlog,"%.3e ",hess[i][j]);	fprintf(ficlog,"%.6e ",hess[i][j]);
}	}
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
}	}

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

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

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

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

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

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

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

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


}	}

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

Line 2388 double hessii(double x[], double delta,	Line 2888 double hessii(double x[], double delta,
p2[theta]=x[theta]-delt;	p2[theta]=x[theta]-delt;
k2=func(p2)-fx;	k2=func(p2)-fx;
/res= (k1-2.0fx+k2)/delt/delt; */	/res= (k1-2.0fx+k2)/delt/delt; */
res= (k1+k2)/delt/delt/2.; /* Divided by because L and not 2L /	res= (k1+k2)/delt/delt/2.; /* Divided by 2 because L and not 2L /

#ifdef DEBUGHESS	#ifdef DEBUGHESSII
printf("%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);	printf("%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);
fprintf(ficlog,"%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);	fprintf(ficlog,"%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);
#endif	#endif
Line 2404 double hessii(double x[], double delta,	Line 2904 double hessii(double x[], double delta,
else if((k1 >khi/nkhi) \|\| (k2 >khi/nkhi)){	else if((k1 >khi/nkhi) \|\| (k2 >khi/nkhi)){
delts=delt;	delts=delt;
}	}
}	} /* End loop k */
}	}
delti[theta]=delts;	delti[theta]=delts;
return res;	return res;

}	}

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

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

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

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

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

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

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

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

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

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


/************ Inverse of matrix ************/	/************ Inverse of matrix ************/
void ludcmp(double *a, int n, int indx, double *d)	void ludcmp(double *a, int n, int indx, double *d)
{	{
Line 2522 void lubksb(double *a, int n, int indx	Line 3096 void lubksb(double *a, int n, int indx

void pstamp(FILE *fichier)	void pstamp(FILE *fichier)
{	{
fprintf(fichier,"# %s.%s\n#%s\n#%s\n# %s", optionfilefiname,optionfilext,version,fullversion,strstart);	fprintf(fichier,"# %s.%s\n#IMaCh version %s, %s\n#%s\n# %s", optionfilefiname,optionfilext,version,copyright, fullversion, strstart);
}	}

/********** Frequencies ******************/	/********** Frequencies ******************/
Line 2538 void freqsummary(char fileres[], int ia	Line 3112 void freqsummary(char fileres[], int ia

pp=vector(1,nlstate);	pp=vector(1,nlstate);
prop=matrix(1,nlstate,iagemin,iagemax+3);	prop=matrix(1,nlstate,iagemin,iagemax+3);
strcpy(fileresp,"p");	strcpy(fileresp,"P_");
strcat(fileresp,fileres);	strcat(fileresp,fileresu);
if((ficresp=fopen(fileresp,"w"))==NULL) {	if((ficresp=fopen(fileresp,"w"))==NULL) {
printf("Problem with prevalence resultfile: %s\n", fileresp);	printf("Problem with prevalence resultfile: %s\n", fileresp);
fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);	fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);
Line 2574 void freqsummary(char fileres[], int ia	Line 3148 void freqsummary(char fileres[], int ia
bool=1;	bool=1;
if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */	if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */
for (z1=1; z1<=cptcoveff; z1++)	for (z1=1; z1<=cptcoveff; z1++)
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]){	if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){
/* Tests if the value of each of the covariates of i is equal to filter j1 */	/* Tests if the value of each of the covariates of i is equal to filter j1 */
bool=0;	bool=0;
/* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtab[%d][%d]=%d, nbcode[Tvaraff][codtab[%d][%d]=%d, j1=%d\n",	/* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n",
bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtab[j1][z1],	bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1),
j1,z1,nbcode[Tvaraff[z1]][codtab[j1][z1]],j1);*/	j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/
/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtab[7][3]=1 and nbcde[3][?]=1*/	/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/
}	}
}	}

Line 2609 void freqsummary(char fileres[], int ia	Line 3183 void freqsummary(char fileres[], int ia
pstamp(ficresp);	pstamp(ficresp);
if (cptcovn>0) {	if (cptcovn>0) {
fprintf(ficresp, "\n#********** Variable ");	fprintf(ficresp, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
fprintf(ficresp, "**********\n#");	fprintf(ficresp, "**********\n#");
fprintf(ficlog, "\n#********** Variable ");	fprintf(ficlog, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
fprintf(ficlog, "**********\n#");	fprintf(ficlog, "**********\n#");
}	}
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
Line 2740 void prevalence(double ***probs, double	Line 3314 void prevalence(double ***probs, double
bool=1;	bool=1;
if (cptcovn>0) {	if (cptcovn>0) {
for (z1=1; z1<=cptcoveff; z1++)	for (z1=1; z1<=cptcoveff; z1++)
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]])	if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)])
bool=0;	bool=0;
}	}
if (bool==1) {	if (bool==1) {
Line 2945 void tricode(int Tvar, int *nbcode, in	Line 3519 void tricode(int Tvar, int *nbcode, in

cptcoveff=0;	cptcoveff=0;

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

/* Loop on covariates without age and products */	/* Loop on covariates without age and products */
for (j=1; j<=(cptcovs); j++) { /* model V1 + V2age+ V3 + V3V4 : V1 + V3 = 2 only */	for (j=1; j<=(cptcovs); j++) { /* From model V1 + V2age+ V3 + V3V4 keeps V1 + V3 = 2 only */
for (i=1; i<=imx; i++) { /* Lopp on individuals: reads the data file to get the maximum value of the	for (k=-1; k < maxncov; k++) Ndum[k]=0;
	for (i=1; i<=imx; i++) { /* Loop 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. Value of the covariate Tvar[j] for individual i	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 product of VnVm, still boolean :
Line 2972 void tricode(int Tvar, int *nbcode, in	Line 3546 void tricode(int Tvar, int *nbcode, in
/* 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.*/
}	} /* end for loop on individuals i */
printf(" Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", j, Tvar[j], modmincovj, modmaxcovj);	printf(" Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", j, Tvar[j], modmincovj, modmaxcovj);
	fprintf(ficlog," Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", j, Tvar[j], modmincovj, modmaxcovj);
cptcode=modmaxcovj;	cptcode=modmaxcovj;
/* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */	/* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */
/for (i=0; i<=cptcode; i++) {/	/for (i=0; i<=cptcode; i++) {/
for (i=modmincovj; i<=modmaxcovj; i++) { /* i=-1 ? 0 and 1// For each value of the modality of model-cov j */	for (k=modmincovj; k<=modmaxcovj; k++) { /* k=-1 ? 0 and 1// For each value k of the modality of model-cov j */
printf("Frequencies of covariates %d V%d %d\n", j, Tvar[j], Ndum[i]);	printf("Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]);
if( Ndum[i] != 0 ){ /* Counts if nobody answered, empty modality */	fprintf(ficlog, "Frequencies of covariates %d ie V%d with value %d: %d\n", j, Tvar[j], k, Ndum[k]);
ncodemax[j]++; /* ncodemax[j]= Number of non-null modalities of the j th covariate. */	if( Ndum[k] != 0 ){ /* Counts if nobody answered modality k ie empty modality, we skip it and reorder */
	if( k != -1){
	ncodemax[j]++; /* ncodemax[j]= Number of modalities of the j th
	covariate for which somebody answered excluding
	undefined. Usually 2: 0 and 1. */
	}
	ncodemaxwundef[j]++; /* ncodemax[j]= Number of modalities of the j th
	covariate for which somebody answered including
	undefined. Usually 3: -1, 0 and 1. */
}	}
/* In fact ncodemax[j]=2 (dichotom. variables only) but it could be more for	/* 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 */	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 */
/* For covariate j, modalities could be 1, 2, 3, 4. If Ndum[2]=0 ncodemax[j] is not 4 but 3 */	/* For covariate j, modalities could be 1, 2, 3, 4, 5, 6, 7.
/* If Ndum[3}= 635; Ndum[4]=0; Ndum[5]=0; Ndum[6]=27; Ndum[7]=125;	If Ndum[1]=0, Ndum[2]=0, Ndum[3]= 635, Ndum[4]=0, Ndum[5]=0, Ndum[6]=27, Ndum[7]=125;
modmincovj=3; modmaxcovj = 7;	modmincovj=3; modmaxcovj = 7;
There are only 3 modalities non empty (or 2 if 27 is too few) : ncodemax[j]=3;	There are only 3 modalities non empty 3, 6, 7 (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	which will be coded 0, 1, 2 which in binary on 2=3-1 digits are 0=00 1=01, 2=10;
variables V1_1 and V1_2.	defining two dummy variables: variables V1_1 and V1_2.
nbcode[Tvar[j]][ij]=k;	nbcode[Tvar[j]][ij]=k;
nbcode[Tvar[j]][1]=0;	nbcode[Tvar[j]][1]=0;
nbcode[Tvar[j]][2]=1;	nbcode[Tvar[j]][2]=1;
nbcode[Tvar[j]][3]=2;	nbcode[Tvar[j]][3]=2;
	To be continued (not working yet).
*/	*/
ij=1; /* ij is similar to i but can jumps over null modalities */	ij=0; /* ij is similar to i but can jump over null modalities */
for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 */	for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/
for (k=0; k<= cptcode; k++) { /* k=-1 ? k=0 to 1 // Could be 1 to 4 */	if (Ndum[i] == 0) { /* If nobody responded to this modality k */
/recode from 0 /	break;
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.	ij++;
k is a modality. If we have model=V1+V1*sex	nbcode[Tvar[j]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality.*/
then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */	cptcode = ij; /* New max modality for covar j */
ij++;	} /* end of loop on modality i=-1 to 1 or more */
}
if (ij > ncodemax[j]) break;	/* for (k=0; k<= cptcode; k++) { /\* k=-1 ? k=0 to 1 \//\ Could be 1 to 4 \//\ cptcode=modmaxcovj \/ /
} /* end of loop on */	/* /\recode from 0 \/ */
} /* end of loop on modality */	/* k is a modality. If we have model=V1+V1sex /
	/* then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */
	/* But if some modality were not used, it is recoded from 0 to a newer modmaxcovj=cptcode \/ /
	/* } */
	/* /\* cptcode = ij; \/ /\ New max modality for covar j \/ /
	/* if (ij > ncodemax[j]) { */
	/* printf( " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]); */
	/* fprintf(ficlog, " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]); */
	/* break; */
	/* } */
	/* } /\* end of loop on modality k \/ /
} /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/	} /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/

for (k=-1; 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-nagesqr; i++) { /* -2, cste and age and eventually ageage /
/* 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]++; /* Might be supersed V1 + V1age /
}	}

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

}	}
Line 3357 void cvevsij(double ***eij, double x[],	Line 3952 void cvevsij(double ***eij, double x[],
}	}

/********** Variance ****************/	/********** Variance ****************/
void varevsij(char optionfilefiname[], double *vareij, double matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double oldm, double savm, double **prlim, double ftolpl, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[])	void varevsij(char optionfilefiname[], double *vareij, double matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double oldm, double savm, double *prlim, double ftolpl, int ncvyear, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[])
{	{
/* Variance of health expectancies */	/* Variance of health expectancies */
/* double prevalim(double prlim, int nlstate, double xp, double age, double oldm, double * savm,double ftolpl);*/	/* double prevalim(double prlim, int nlstate, double xp, double age, double oldm, double * savm,double ftolpl);*/
Line 3386 void varevsij(char optionfilefiname[], d	Line 3981 void varevsij(char optionfilefiname[], d

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

if (mobilav!=0) {	if (mobilav!=0) {
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
Line 3400 void varevsij(char optionfilefiname[], d	Line 3995 void varevsij(char optionfilefiname[], d
}	}
}	}

strcpy(fileresprobmorprev,"prmorprev");	strcpy(fileresprobmorprev,"PRMORPREV-");
sprintf(digit,"%-d",ij);	sprintf(digit,"%-d",ij);
/printf("DIGIT=%s, ij=%d ijr=%-d\|\n",digit, ij,ij);/	/printf("DIGIT=%s, ij=%d ijr=%-d\|\n",digit, ij,ij);/
strcat(fileresprobmorprev,digit); /* Tvar to be done */	strcat(fileresprobmorprev,digit); /* Tvar to be done */
strcat(fileresprobmorprev,digitp); /* Popbased or not, mobilav or not */	strcat(fileresprobmorprev,digitp); /* Popbased or not, mobilav or not */
strcat(fileresprobmorprev,fileres);	strcat(fileresprobmorprev,fileresu);
if((ficresprobmorprev=fopen(fileresprobmorprev,"w"))==NULL) {	if((ficresprobmorprev=fopen(fileresprobmorprev,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresprobmorprev);	printf("Problem with resultfile: %s\n", fileresprobmorprev);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobmorprev);	fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobmorprev);
Line 3423 void varevsij(char optionfilefiname[], d	Line 4018 void varevsij(char optionfilefiname[], d
}	}
fprintf(ficresprobmorprev,"\n");	fprintf(ficresprobmorprev,"\n");
fprintf(ficgp,"\n# Routine varevsij");	fprintf(ficgp,"\n# Routine varevsij");
/* fprintf(fichtm, "#Local time at start: %s", strstart);*/	fprintf(ficgp,"\nunset title \n");
	/* fprintf(fichtm, "#Local time at start: %s", strstart);*/
fprintf(fichtm,"\n<li><h4> Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)</h4></li>\n");	fprintf(fichtm,"\n<li><h4> Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)</h4></li>\n");
fprintf(fichtm,"\n<br>%s <br>\n",digitp);	fprintf(fichtm,"\n<br>%s <br>\n",digitp);
/* } */	/* } */
Line 3482 void varevsij(char optionfilefiname[], d	Line 4078 void varevsij(char optionfilefiname[], d
xp[i] = x[i] + (i==theta ?delti[theta]:0);	xp[i] = x[i] + (i==theta ?delti[theta]:0);
}	}
hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);	hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);	prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyear,ij);

if (popbased==1) {	if (popbased==1) {
if(mobilav ==0){	if(mobilav ==0){
Line 3513 void varevsij(char optionfilefiname[], d	Line 4109 void varevsij(char optionfilefiname[], d
for(i=1; i<=npar; i++) /* Computes gradient x - delta */	for(i=1; i<=npar; i++) /* Computes gradient x - delta */
xp[i] = x[i] - (i==theta ?delti[theta]:0);	xp[i] = x[i] - (i==theta ?delti[theta]:0);
hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);	hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);	prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyear, ij);

if (popbased==1) {	if (popbased==1) {
if(mobilav ==0){	if(mobilav ==0){
Line 3588 void varevsij(char optionfilefiname[], d	Line 4184 void varevsij(char optionfilefiname[], d
/* end ppptj */	/* end ppptj */
/* x centered again */	/* x centered again */
hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);	hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);
prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ij);	prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ncvyear,ij);

if (popbased==1) {	if (popbased==1) {
if(mobilav ==0){	if(mobilav ==0){
Line 3635 void varevsij(char optionfilefiname[], d	Line 4231 void varevsij(char optionfilefiname[], d
free_vector(gmp,nlstate+1,nlstate+ndeath);	free_vector(gmp,nlstate+1,nlstate+ndeath);
free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath);	free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath);
free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/	free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/
fprintf(ficgp,"\nunset parametric;unset label; set ter png small size 320, 240");	/* fprintf(ficgp,"\nunset parametric;unset label; set ter png small size 320, 240"); */
	fprintf(ficgp,"\nunset parametric;unset label; set ter svg size 640, 480");
/* for(j=nlstate+1; j<= nlstate+ndeath; j++){ // Only the first actually */	/* for(j=nlstate+1; j<= nlstate+ndeath; j++){ // Only the first actually */
fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");	fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Force of mortality (year-1)\";");
	fprintf(ficgp,"\nset out \"%s%s.svg\";",subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit);
/* fprintf(ficgp,"\n plot \"%s\" u 1:($3%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); /	/* fprintf(ficgp,"\n plot \"%s\" u 1:($3%6.3f) not w l 1 ",fileresprobmorprev,YEARM/estepm); /
/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96$4)%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */	/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96$4)%6.3f) t \"95\%% interval\" w l 2 ",fileresprobmorprev,YEARM/estepm); */
/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96$4)%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */	/* fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96$4)%6.3f) not w l 2 ",fileresprobmorprev,YEARM/estepm); */
Line 3645 void varevsij(char optionfilefiname[], d	Line 4243 void varevsij(char optionfilefiname[], d
fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95%% interval\" w l lt 2 ",subdirf(fileresprobmorprev));	fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95%% interval\" w l lt 2 ",subdirf(fileresprobmorprev));
fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l lt 2 ",subdirf(fileresprobmorprev));	fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l lt 2 ",subdirf(fileresprobmorprev));
fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));	fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));
fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.png\"> <br>\n", estepm,subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);	fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.svg\"> <br>\n", estepm,subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit);
/* fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year <br> <img src=\"varmuptjgr%s%s.png\"> <br>\n", stepm,YEARM,digitp,digit);	/* fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months and then divided by estepm and multiplied by %.0f in order to have the probability to die over a year <br> <img src=\"varmuptjgr%s%s.svg\"> <br>\n", stepm,YEARM,digitp,digit);
*/	*/
/* fprintf(ficgp,"\nset out \"varmuptjgr%s%s%s.png\";replot;",digitp,optionfilefiname,digit); */	/* fprintf(ficgp,"\nset out \"varmuptjgr%s%s%s.svg\";replot;",digitp,optionfilefiname,digit); */
fprintf(ficgp,"\nset out \"%s%s.png\";replot;\n",subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);	fprintf(ficgp,"\nset out;\nset out \"%s%s.svg\";replot;set out;\n",subdirf3(optionfilefiname,"VARMUPTJGR-",digitp),digit);

free_vector(xp,1,npar);	free_vector(xp,1,npar);
free_matrix(doldm,1,nlstate,1,nlstate);	free_matrix(doldm,1,nlstate,1,nlstate);
Line 3664 void varevsij(char optionfilefiname[], d	Line 4262 void varevsij(char optionfilefiname[], d
} /* end varevsij */	} /* end varevsij */

/********** Variance of prevlim ****************/	/********** Variance of prevlim ****************/
void varprevlim(char fileres[], double varpl, double matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double oldm, double savm, double **prlim, double ftolpl, int ij, char strstart[])	void varprevlim(char fileres[], double varpl, double matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double oldm, double savm, double *prlim, double ftolpl, int ncvyear, int ij, char strstart[])
{	{
/* Variance of prevalence limit */	/* Variance of prevalence limit */
/* double prevalim(double prlim, int nlstate, double xp, double age, double oldm, double savm,double ftolpl);/	/* double prevalim(double prlim, int nlstate, double xp, double age, double oldm, double savm,double ftolpl);/
Line 3703 void varprevlim(char fileres[], double *	Line 4301 void varprevlim(char fileres[], double *
for(i=1; i<=npar; i++){ /* Computes gradient */	for(i=1; i<=npar; i++){ /* Computes gradient */
xp[i] = x[i] + (i==theta ?delti[theta]:0);	xp[i] = x[i] + (i==theta ?delti[theta]:0);
}	}
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);	prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyear,ij);
for(i=1;i<=nlstate;i++)	for(i=1;i<=nlstate;i++)
gp[i] = prlim[i][i];	gp[i] = prlim[i][i];

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

Line 3767 void varprob(char optionfilefiname[], do	Line 4365 void varprob(char optionfilefiname[], do
char fileresprobcor[FILENAMELENGTH];	char fileresprobcor[FILENAMELENGTH];
double ***varpij;	double ***varpij;

strcpy(fileresprob,"prob");	strcpy(fileresprob,"PROB_");
strcat(fileresprob,fileres);	strcat(fileresprob,fileres);
if((ficresprob=fopen(fileresprob,"w"))==NULL) {	if((ficresprob=fopen(fileresprob,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresprob);	printf("Problem with resultfile: %s\n", fileresprob);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob);	fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob);
}	}
strcpy(fileresprobcov,"probcov");	strcpy(fileresprobcov,"PROBCOV_");
strcat(fileresprobcov,fileres);	strcat(fileresprobcov,fileresu);
if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) {	if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresprobcov);	printf("Problem with resultfile: %s\n", fileresprobcov);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov);	fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov);
}	}
strcpy(fileresprobcor,"probcor");	strcpy(fileresprobcor,"PROBCOR_");
strcat(fileresprobcor,fileres);	strcat(fileresprobcor,fileresu);
if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) {	if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresprobcor);	printf("Problem with resultfile: %s\n", fileresprobcor);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor);	fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor);
Line 3822 void varprob(char optionfilefiname[], do	Line 4420 void varprob(char optionfilefiname[], do
fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");	fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");
fprintf(fichtm,"\n");	fprintf(fichtm,"\n");

fprintf(fichtm,"\n<li><h4> <a href=\"%s\">Matrix of variance-covariance of pairs of step probabilities (drawings)</a></h4></li>\n",optionfilehtmcov);	fprintf(fichtm,"\n<li><h4> <a href=\"%s\">Matrix of variance-covariance of one-step probabilities (drawings)</a></h4> this page is important in order to visualize confidence intervals and especially correlation between disability and recovery, or more generally, way in and way back.</li>\n",optionfilehtmcov);
fprintf(fichtmcov,"\n<h4>Matrix of variance-covariance of pairs of step probabilities</h4>\n\	fprintf(fichtmcov,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Matrix of variance-covariance of pairs of step probabilities</h4>\n",optionfilehtmcov, optionfilehtmcov);
file %s<br>\n",optionfilehtmcov);	fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimated \
fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimated\
and drawn. It helps understanding how is the covariance between two incidences.\	and drawn. It helps understanding how is the covariance between two incidences.\
They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>\n");	They are expressed in year<sup>-1</sup> in order to be less dependent of stepm.<br>\n");
fprintf(fichtmcov,"\n<br> Contour plot corresponding to x'cov<sup>-1</sup>x = 4 (where x is the column vector (pij,pkl)) are drawn. \	fprintf(fichtmcov,"\n<br> Contour plot corresponding to x'cov<sup>-1</sup>x = 4 (where x is the column vector (pij,pkl)) are drawn. \
Line 3846 To be simple, these graphs help to under	Line 4443 To be simple, these graphs help to under
/j1++;/	/j1++;/
if (cptcovn>0) {	if (cptcovn>0) {
fprintf(ficresprob, "\n#********** Variable ");	fprintf(ficresprob, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
fprintf(ficresprob, "**********\n#\n");	fprintf(ficresprob, "**********\n#\n");
fprintf(ficresprobcov, "\n#********** Variable ");	fprintf(ficresprobcov, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprobcov, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
fprintf(ficresprobcov, "**********\n#\n");	fprintf(ficresprobcov, "**********\n#\n");

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


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

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

Line 3872 To be simple, these graphs help to under	Line 4469 To be simple, these graphs help to under
gm=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;
	if(nagesqr==1)
	cov[3]= age*age;
for (k=1; k<=cptcovn;k++) {	for (k=1; k<=cptcovn;k++) {
cov[2+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]];/* j1 1 2 3 4	cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)];
	/cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];//* j1 1 2 3 4
* 1 1 1 1 1	* 1 1 1 1 1
* 2 2 1 1 1	* 2 2 1 1 1
* 3 1 2 1 1	* 3 1 2 1 1
*/	*/
/* nbcode[1][1]=0 nbcode[1][2]=1;*/	/* nbcode[1][1]=0 nbcode[1][2]=1;*/
}	}
for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];	/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; /
	for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,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+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)];


for(theta=1; theta <=npar; theta++){	for(theta=1; theta <=npar; theta++){
Line 4030 To be simple, these graphs help to under	Line 4631 To be simple, these graphs help to under
/* mu2+ v21lc1cost + v22lc2sin(t) */	/* mu2+ v21lc1cost + v22lc2sin(t) */
if(first==1){	if(first==1){
first=0;	first=0;
	fprintf(ficgp,"\n# Ellipsoids of confidence\n#\n");
fprintf(ficgp,"\nset parametric;unset label");	fprintf(ficgp,"\nset parametric;unset label");
fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2);	fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2);
fprintf(ficgp,"\nset ter png small size 320, 240");	fprintf(ficgp,"\nset ter svg size 640, 480");
fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\	fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\
:<a href=\"%s%d%1d%1d-%1d%1d.png\">\	:<a href=\"%s_%d%1d%1d-%1d%1d.svg\">\
%s%d%1d%1d-%1d%1d.png</A>, ",k1,l1,k2,l2,\	%s_%d%1d%1d-%1d%1d.svg</A>, ",k1,l1,k2,l2,\
subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2,\	subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2,\
subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);	subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2);
fprintf(fichtmcov,"\n<br><img src=\"%s%d%1d%1d-%1d%1d.png\"> ",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);	fprintf(fichtmcov,"\n<br><img src=\"%s_%d%1d%1d-%1d%1d.svg\"> ",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2);
fprintf(fichtmcov,"\n<br> Correlation at age %d (%.3f),",(int) age, c12);	fprintf(fichtmcov,"\n<br> Correlation at age %d (%.3f),",(int) age, c12);
fprintf(ficgp,"\nset out \"%s%d%1d%1d-%1d%1d.png\"",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);	fprintf(ficgp,"\nset out \"%s_%d%1d%1d-%1d%1d.svg\"",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2);
fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);	fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);
fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);	fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);
fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f(%11.3e%11.3ecos(t)+%11.3e%11.3esin(t)), %11.3e +%.3f(%11.3e%11.3ecos(t)+%11.3e%11.3esin(t)) not",\	fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f(%11.3e%11.3ecos(t)+%11.3e%11.3esin(t)), %11.3e +%.3f(%11.3e%11.3ecos(t)+%11.3e%11.3esin(t)) not",\
Line 4057 To be simple, these graphs help to under	Line 4659 To be simple, these graphs help to under
}/* if first */	}/* if first */
} /* age mod 5 */	} /* age mod 5 */
} /* end loop age */	} /* end loop age */
fprintf(ficgp,"\nset out \"%s%d%1d%1d-%1d%1d.png\";replot;",subdirf2(optionfilefiname,"varpijgr"), j1,k1,l1,k2,l2);	fprintf(ficgp,"\nset out;\nset out \"%s_%d%1d%1d-%1d%1d.svg\";replot;set out;",subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2);
first=1;	first=1;
} /l12 /	} /l12 /
} /* k12 */	} /* k12 */
Line 4079 To be simple, these graphs help to under	Line 4681 To be simple, these graphs help to under


/***************** Printing html file *********/	/***************** Printing html file *********/
void printinghtml(char fileres[], char title[], char datafile[], int firstpass, \	void printinghtml(char fileresu[], char title[], char datafile[], int firstpass, \
int lastpass, int stepm, int weightopt, char model[],\	int lastpass, int stepm, int weightopt, char model[],\
int imx,int jmin, int jmax, double jmeanint,char rfileres[],\	int imx,int jmin, int jmax, double jmeanint,char rfileres[],\
int popforecast, int estepm ,\	int popforecast, int estepm ,\
Line 4092 void printinghtml(char fileres[], char t	Line 4694 void printinghtml(char fileres[], char t
</ul>");	</ul>");
fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n \	fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n \
- Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> <br>\n ",	- Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> <br>\n ",
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileres,"p"),subdirf2(fileres,"p"));	jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileresu,"P_"),subdirf2(fileresu,"P_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- Estimated transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ",	- Estimated transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ",
stepm,subdirf2(fileres,"pij"),subdirf2(fileres,"pij"));	stepm,subdirf2(fileresu,"PIJ_"),subdirf2(fileresu,"PIJ_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- Period (stable) prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",	- Period (stable) prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",
subdirf2(fileres,"pl"),subdirf2(fileres,"pl"));	subdirf2(fileresu,"PL_"),subdirf2(fileresu,"PL_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- (a) Life expectancies by health status at initial age, ei. (b) health expectancies by health status at initial age, eij . If one or more covariates are included, specific tables for each value of the covariate are output in sequences within the same file (estepm=%2d months): \	- (a) Life expectancies by health status at initial age, ei. (b) health expectancies by health status at initial age, eij . If one or more covariates are included, specific tables for each value of the covariate are output in sequences within the same file (estepm=%2d months): \
<a href=\"%s\">%s</a> <br>\n",	<a href=\"%s\">%s</a> <br>\n",
estepm,subdirf2(fileres,"e"),subdirf2(fileres,"e"));	estepm,subdirf2(fileresu,"E_"),subdirf2(fileresu,"E_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- Population projections by age and states: \	- Population projections by age and states: \
<a href=\"%s\">%s</a> <br>\n</li>", subdirf2(fileres,"f"),subdirf2(fileres,"f"));	<a href=\"%s\">%s</a> <br>\n</li>", subdirf2(fileresu,"F_"),subdirf2(fileresu,"F_"));

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

Line 4114 fprintf(fichtm," \n<ul><li><b>Graphs</b>	Line 4716 fprintf(fichtm," \n<ul><li><b>Graphs</b>

jj1=0;	jj1=0;
for(k1=1; k1<=m;k1++){	for(k1=1; k1<=m;k1++){
for(i1=1; i1<=ncodemax[k1];i1++){	/* for(i1=1; i1<=ncodemax[k1];i1++){ */
jj1++;	jj1++;
if (cptcovn > 0) {	if (cptcovn > 0) {
fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates");	fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\">************ Results for covariates");
for (cpt=1; cpt<=cptcoveff;cpt++)	for (cpt=1; cpt<=cptcoveff;cpt++){
fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[jj1][cpt]]);	fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);
	printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout);
	}
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");	fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
}	}
	/* aij, bij */
	fprintf(fichtm,"<br>- Logit model, for example: logit(pij)=log(pij/pii)= aij+ bij age + V1 age + etc. as a function of age: <a href=\"%s_%d-1.svg\">%s_%d-1.svg</a><br> \
	<img src=\"%s_%d-1.svg\">",subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1);
/* Pij */	/* Pij */
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s%d_1.png\">%s%d_1.png</a><br> \	fprintf(fichtm,"<br>\n- Pij or conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s_%d-2.svg\">%s_%d-2.svg</a><br> \
<img src=\"%s%d_1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);	<img src=\"%s_%d-2.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1);
/* Quasi-incidences */	/* Quasi-incidences */
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\	fprintf(fichtm,"<br>\n- Iij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\
before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: <a href=\"%s%d_2.png\">%s%d_2.png</a><br> \	before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too,\
<img src=\"%s%d_2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);	incidence (rates) are the limit when h tends to zero of the ratio of the probability hPij \
/* Period (stable) prevalence in each health state */	divided by h: hPij/h : <a href=\"%s_%d-3.svg\">%s_%d-3.svg</a><br> \
for(cpt=1; cpt<=nlstate;cpt++){	<img src=\"%s_%d-3.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1);
fprintf(fichtm,"<br>- Convergence to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.png\">%s%d_%d.png</a><br> \	/* Survival functions (period) in state j */
<img src=\"%s%d_%d.png\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1);	for(cpt=1; cpt<=nlstate;cpt++){
}	fprintf(fichtm,"<br>\n- Survival functions in state %d. Or probability to survive in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \
	<img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1);
	}
	/* State specific survival functions (period) */
	for(cpt=1; cpt<=nlstate;cpt++){
	fprintf(fichtm,"<br>\n- Survival functions from state %d in any different live states and total.\
	Or probability to survive in various states (1 to %d) being in state %d at different ages.\
	<a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> <img src=\"%s_%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1);
	}
	/* Period (stable) prevalence in each health state */
	for(cpt=1; cpt<=nlstate;cpt++){
	fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \
	<img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1);
	}
for(cpt=1; cpt<=nlstate;cpt++) {	for(cpt=1; cpt<=nlstate;cpt++) {
fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) : <a href=\"%s%d%d.png\">%s%d%d.png</a> <br> \	fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) (or area under each survival functions): <a href=\"%s%d%d.svg\">%s%d%d.svg</a> <br> \
<img src=\"%s%d%d.png\">",cpt,nlstate,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);	<img src=\"%s_%d%d.svg\">",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1);
}	}
} /* end i1 */	/* } /\* end i1 \/ /
}/* End k1 */	}/* End k1 */
fprintf(fichtm,"</ul>");	fprintf(fichtm,"</ul>");


fprintf(fichtm,"\	fprintf(fichtm,"\
\n<br><li><h4> <a name='secondorder'>Result files (second order: variances)</a></h4>\n\	\n<br><li><h4> <a name='secondorder'>Result files (second order: variances)</a></h4>\n\
- Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br>\n", rfileres,rfileres);	- Parameter file with estimated parameters and covariance matrix: <a href=\"%s\">%s</a> <br> \
	- 95%% confidence intervals and Wald tests of the estimated parameters are in the log file if optimization has been done (mle != 0).<br> \
	But because parameters are usually highly correlated (a higher incidence of disability \
	and a higher incidence of recovery can give very close observed transition) it might \
	be very useful to look not only at linear confidence intervals estimated from the \
	variances but at the covariance matrix. And instead of looking at the estimated coefficients \
	(parameters) of the logistic regression, it might be more meaningful to visualize the \
	covariance matrix of the one-step probabilities. \
	See page 'Matrix of variance-covariance of one-step probabilities' below. \n", rfileres,rfileres);

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

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

/* if(popforecast==1) fprintf(fichtm,"\n */	/* if(popforecast==1) fprintf(fichtm,"\n */
/* - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n */	/* - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n */
Line 4188 fprintf(fichtm," \n<ul><li><b>Graphs</b>	Line 4815 fprintf(fichtm," \n<ul><li><b>Graphs</b>

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

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

char dirfileres[132],optfileres[132];	char dirfileres[132],optfileres[132];
int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0;	int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0;
int ng=0;	int ng=0;
	int vpopbased;
/* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */	/* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */
/* printf("Problem with file %s",optionfilegnuplot); */	/* printf("Problem with file %s",optionfilegnuplot); */
/* fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */	/* fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */
Line 4229 void printinggnuplot(char fileres[], cha	Line 4857 void printinggnuplot(char fileres[], cha
/#endif /	/#endif /
m=pow(2,cptcoveff);	m=pow(2,cptcoveff);

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

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

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

for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) {
for (cpt=1; cpt<= nlstate ; cpt ++) {	for (cpt=1; cpt<= nlstate ; cpt ++) {
/* k=2+nlstate(2cpt-2); */	/* k=2+nlstate(2cpt-2); */
k=2+(nlstate+1)*(cpt-1);	k=2+(nlstate+1)*(cpt-1);
fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1);	fprintf(ficgp,"\nset out \"%s_%d%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1);
fprintf(ficgp,"set ter png small size 320, 240\n\	fprintf(ficgp,"set ter svg size 640, 480\n\
plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileres,"e"),k1-1,k1-1,k,cpt);	plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),k1-1,k1-1,k,cpt);
/fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);	/fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");	for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
fprintf(ficgp,"\" t \"e%d1\" w l",cpt);	fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
Line 4308 plot [%.f:%.f] \"%s\" every :::%d::%d u	Line 4957 plot [%.f:%.f] \"%s\" every :::%d::%d u

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

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

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

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

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

/* proba elementaires */	/* proba elementaires */
	fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n");
for(i=1,jk=1; i <=nlstate; i++){	for(i=1,jk=1; i <=nlstate; i++){
	fprintf(ficgp,"# initial state %d\n",i);
for(k=1; k <=(nlstate+ndeath); k++){	for(k=1; k <=(nlstate+ndeath); k++){
if (k != i) {	if (k != i) {
	fprintf(ficgp,"# current state %d\n",k);
for(j=1; j <=ncovmodel; j++){	for(j=1; j <=ncovmodel; j++){
fprintf(ficgp,"p%d=%f ",jk,p[jk]);	fprintf(ficgp,"p%d=%f; ",jk,p[jk]);
jk++;	jk++;
fprintf(ficgp,"\n");
}	}
	fprintf(ficgp,"\n");
}	}
}	}
}	}
	fprintf(ficgp,"##############\n#\n");

/goto avoid;/	/goto avoid;/
for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/	fprintf(ficgp,"\n##############\n#Graphics of probabilities or incidences\n#############\n");
	fprintf(ficgp,"# logi(p12/p11)=a12+b12age+c12ageage+d12V1+e12V1*age\n");
	fprintf(ficgp,"# logi(p12/p11)=p1 +p2age +p3ageage+ p4V1+ p5V1age\n");
	fprintf(ficgp,"# logi(p13/p11)=a13+b13age+c13ageage+d13V1+e13V1*age\n");
	fprintf(ficgp,"# logi(p13/p11)=p6 +p7age +p8ageage+ p9V1+ p10V1age\n");
	fprintf(ficgp,"# p12+p13+p14+p11=1=p11(1+exp(a12+b12age+c12ageage+d12V1+e12V1*age)\n");
	fprintf(ficgp,"# +exp(a13+b13age+c13ageage+d13V1+e13V1*age)+...)\n");
	fprintf(ficgp,"# p11=1/(1+exp(a12+b12age+c12ageage+d12V1+e12V1*age)\n");
	fprintf(ficgp,"# +exp(a13+b13age+c13ageage+d13V1+e13V1*age)+...)\n");
	fprintf(ficgp,"# p12=exp(a12+b12age+c12ageage+d12V1+e12V1*age)/\n");
	fprintf(ficgp,"# (1+exp(a12+b12age+c12ageage+d12V1+e12V1*age)\n");
	fprintf(ficgp,"# +exp(a13+b13age+c13ageage+d13V1+e13V1*age))\n");
	fprintf(ficgp,"# +exp(a14+b14age+c14ageage+d14V1+e14V1*age)+...)\n");
	fprintf(ficgp,"#\n");
	for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/
	fprintf(ficgp,"# ng=%d\n",ng);
	fprintf(ficgp,"# jk=1 to 2^%d=%d\n",cptcoveff,m);
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,"# jk=%d\n",jk);
if (ng==2)	fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),jk,ng);
	fprintf(ficgp,"\nset ter svg size 640, 480 ");
	if (ng==1){
	fprintf(ficgp,"\nset ylabel \"Value of the logit of the model\"\n"); /* exp(a12+b12x) could be nice /
	fprintf(ficgp,"\nunset log y");
	}else if (ng==2){
	fprintf(ficgp,"\nset ylabel \"Probability\"\n");
	fprintf(ficgp,"\nset log y");
	}else if (ng==3){
fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");	fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");
else	fprintf(ficgp,"\nset log y");
fprintf(ficgp,"\nset title \"Probability\"\n");	}else
fprintf(ficgp,"\nset ter png small size 320, 240\nset log y\nplot [%.f:%.f] ",ageminpar,agemaxpar);	fprintf(ficgp,"\nunset title ");
	fprintf(ficgp,"\nplot [%.f:%.f] ",ageminpar,agemaxpar);
i=1;	i=1;
for(k2=1; k2<=nlstate; k2++) {	for(k2=1; k2<=nlstate; k2++) {
k3=i;	k3=i;
for(k=1; k<=(nlstate+ndeath); k++) {	for(k=1; k<=(nlstate+ndeath); k++) {
if (k != k2){	if (k != k2){
if(ng==2)	switch( ng) {
fprintf(ficgp," %fexp(p%d+p%dx",YEARM/stepm,i,i+1);	case 1:
else	if(nagesqr==0)
fprintf(ficgp," exp(p%d+p%d*x",i,i+1);	fprintf(ficgp," p%d+p%d*x",i,i+1);
	else /* nagesqr =1 */
	fprintf(ficgp," p%d+p%dx+p%dx*x",i,i+1,i+1+nagesqr);
	break;
	case 2: /* ng=2 */
	if(nagesqr==0)
	fprintf(ficgp," exp(p%d+p%d*x",i,i+1);
	else /* nagesqr =1 */
	fprintf(ficgp," exp(p%d+p%dx+p%dx*x",i,i+1,i+1+nagesqr);
	break;
	case 3:
	if(nagesqr==0)
	fprintf(ficgp," %fexp(p%d+p%dx",YEARM/stepm,i,i+1);
	else /* nagesqr =1 */
	fprintf(ficgp," %fexp(p%d+p%dx+p%dxx",YEARM/stepm,i,i+1,i+1+nagesqr);
	break;
	}
ij=1;/* To be checked else nbcode[0][0] wrong */	ij=1;/* To be checked else nbcode[0][0] wrong */
for(j=3; j <=ncovmodel; j++) {	for(j=3; j <=ncovmodel-nagesqr; j++) {
/* if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { /\* Bug valgrind \/ /	/* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */
/* /\fprintf(ficgp,"+p%d%dx",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);\/ */	if(ij <=cptcovage) { /* Bug valgrind */
/* ij++; */	if((j-2)==Tage[ij]) { /* Bug valgrind */
/* } */	fprintf(ficgp,"+p%d%dx",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
/* else */	/* fprintf(ficgp,"+p%d%dx",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,Tvar[j-2])]); */
fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);	ij++;
	}
	}
	else
	fprintf(ficgp,"+p%d*%d",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
}	}
fprintf(ficgp,")/(1");	if(ng != 1){
	fprintf(ficgp,")/(1");

for(k1=1; k1 <=nlstate; k1++){	for(k1=1; k1 <=nlstate; k1++){
fprintf(ficgp,"+exp(p%d+p%dx",k3+(k1-1)ncovmodel,k3+(k1-1)*ncovmodel+1);	if(nagesqr==0)
ij=1;	fprintf(ficgp,"+exp(p%d+p%dx",k3+(k1-1)ncovmodel,k3+(k1-1)*ncovmodel+1);
for(j=3; j <=ncovmodel; j++){	else /* nagesqr =1 */
/* if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) { */	fprintf(ficgp,"+exp(p%d+p%dx+p%dxx",k3+(k1-1)ncovmodel,k3+(k1-1)ncovmodel+1,k3+(k1-1)ncovmodel+1+nagesqr);
/* fprintf(ficgp,"+p%d%dx",k3+(k1-1)ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]); /
/* ij++; */	ij=1;
/* } */	for(j=3; j <=ncovmodel-nagesqr; j++){
/* else */	if(ij <=cptcovage) { /* Bug valgrind */
fprintf(ficgp,"+p%d%d",k3+(k1-1)ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);	if((j-2)==Tage[ij]) { /* Bug valgrind */
	fprintf(ficgp,"+p%d%dx",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
	/* fprintf(ficgp,"+p%d%dx",k3+(k1-1)ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,Tvar[j-2])]); /
	ij++;
	}
	}
	else
	fprintf(ficgp,"+p%d%d",k3+(k1-1)ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
	}
	fprintf(ficgp,")");
}	}
fprintf(ficgp,")");	fprintf(ficgp,")");
	if(ng ==2)
	fprintf(ficgp," t \"p%d%d\" ", k2,k);
	else /* ng= 3 */
	fprintf(ficgp," t \"i%d%d\" ", k2,k);
	}else{ /* end ng <> 1 */
	fprintf(ficgp," t \"logit(p%d%d)\" ", k2,k);
}	}
fprintf(ficgp,") t \"p%d%d\" ", k2,k);
if ((k+k2)!= (nlstate*2+ndeath)) fprintf(ficgp,",");	if ((k+k2)!= (nlstate*2+ndeath)) fprintf(ficgp,",");
i=i+ncovmodel;	i=i+ncovmodel;
}	}
} /* end k */	} /* end k */
} /* end k2 */	} /* end k2 */
	fprintf(ficgp,"\n set out\n");
} /* end jk */	} /* end jk */
} /* end ng */	} /* end ng */
/* avoid: */	/* avoid: */
Line 4468 void prevforecast(char fileres[], double	Line 5242 void prevforecast(char fileres[], double
agelim=AGESUP;	agelim=AGESUP;
prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);	prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);

strcpy(fileresf,"f");	strcpy(fileresf,"F_");
strcat(fileresf,fileres);	strcat(fileresf,fileresu);
if((ficresf=fopen(fileresf,"w"))==NULL) {	if((ficresf=fopen(fileresf,"w"))==NULL) {
printf("Problem with forecast resultfile: %s\n", fileresf);	printf("Problem with forecast resultfile: %s\n", fileresf);
fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf);	fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf);
Line 4518 void prevforecast(char fileres[], double	Line 5292 void prevforecast(char fileres[], double
k=k+1;	k=k+1;
fprintf(ficresf,"\n#******");	fprintf(ficresf,"\n#******");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcoveff;j++) {
fprintf(ficresf," V%d=%d, hpijx=probability over h years, hp.jx is weighted by observed prev ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficresf," V%d=%d, hpijx=probability over h years, hp.jx is weighted by observed prev ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
}	}
fprintf(ficresf,"******\n");	fprintf(ficresf,"******\n");
fprintf(ficresf,"# Covariate valuofcovar yearproj age");	fprintf(ficresf,"# Covariate valuofcovar yearproj age");
Line 4542 void prevforecast(char fileres[], double	Line 5316 void prevforecast(char fileres[], double
if (hhstepm/YEARMstepm ==yearp) {	if (hhstepm/YEARMstepm ==yearp) {
fprintf(ficresf,"\n");	fprintf(ficresf,"\n");
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+hhstepm/YEARMstepm);	fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+hhstepm/YEARMstepm);
}	}
for(j=1; j<=nlstate+ndeath;j++) {	for(j=1; j<=nlstate+ndeath;j++) {
Line 4592 void populforecast(char fileres[], doubl	Line 5366 void populforecast(char fileres[], doubl
prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);	prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);


strcpy(filerespop,"pop");	strcpy(filerespop,"POP_");
strcat(filerespop,fileres);	strcat(filerespop,fileresu);
if((ficrespop=fopen(filerespop,"w"))==NULL) {	if((ficrespop=fopen(filerespop,"w"))==NULL) {
printf("Problem with forecast resultfile: %s\n", filerespop);	printf("Problem with forecast resultfile: %s\n", filerespop);
fprintf(ficlog,"Problem with forecast resultfile: %s\n", filerespop);	fprintf(ficlog,"Problem with forecast resultfile: %s\n", filerespop);
Line 4640 void populforecast(char fileres[], doubl	Line 5414 void populforecast(char fileres[], doubl
k=k+1;	k=k+1;
fprintf(ficrespop,"\n#******");	fprintf(ficrespop,"\n#******");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcoveff;j++) {
fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficrespop," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
}	}
fprintf(ficrespop,"******\n");	fprintf(ficrespop,"******\n");
fprintf(ficrespop,"# Age");	fprintf(ficrespop,"# Age");
Line 4946 double gompertz_f(const gsl_vector *v, v	Line 5720 double gompertz_f(const gsl_vector *v, v
#endif	#endif

/***************** Printing html file *********/	/***************** Printing html file *********/
void printinghtmlmort(char fileres[], char title[], char datafile[], int firstpass, \	void printinghtmlmort(char fileresu[], char title[], char datafile[], int firstpass, \
int lastpass, int stepm, int weightopt, char model[],\	int lastpass, int stepm, int weightopt, char model[],\
int imx, double p[],double **matcov,double agemortsup){	int imx, double p[],double **matcov,double agemortsup){
int i,k;	int i,k;
Line 4955 void printinghtmlmort(char fileres[], ch	Line 5729 void printinghtmlmort(char fileres[], ch
fprintf(fichtm," mu(age) =%lfexp(%lf(age-%d)) per year<br><br>",p[1],p[2],agegomp);	fprintf(fichtm," mu(age) =%lfexp(%lf(age-%d)) per year<br><br>",p[1],p[2],agegomp);
for (i=1;i<=2;i++)	for (i=1;i<=2;i++)
fprintf(fichtm," p[%d] = %lf [%f ; %f]<br>\n",i,p[i],p[i]-2sqrt(matcov[i][i]),p[i]+2sqrt(matcov[i][i]));	fprintf(fichtm," p[%d] = %lf [%f ; %f]<br>\n",i,p[i],p[i]-2sqrt(matcov[i][i]),p[i]+2sqrt(matcov[i][i]));
fprintf(fichtm,"<br><br><img src=\"graphmort.png\">");	fprintf(fichtm,"<br><br><img src=\"graphmort.svg\">");
fprintf(fichtm,"</ul>");	fprintf(fichtm,"</ul>");

fprintf(fichtm,"<ul><li><h4>Life table</h4>\n <br>");	fprintf(fichtm,"<ul><li><h4>Life table</h4>\n <br>");
Line 4970 fprintf(fichtm,"<ul><li><h4>Life table</	Line 5744 fprintf(fichtm,"<ul><li><h4>Life table</
}	}

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

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

Line 4984 void printinggnuplotmort(char fileres[],	Line 5758 void printinggnuplotmort(char fileres[],

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

Line 5007 int readdata(char datafile[], int firsto	Line 5781 int readdata(char datafile[], int firsto


if((fic=fopen(datafile,"r"))==NULL) {	if((fic=fopen(datafile,"r"))==NULL) {
printf("Problem while opening datafile: %s\n", datafile);return 1;	printf("Problem while opening datafile: %s\n", datafile);fflush(stdout);
fprintf(ficlog,"Problem while opening datafile: %s\n", datafile);return 1;	fprintf(ficlog,"Problem while opening datafile: %s\n", datafile);fflush(ficlog);return 1;
}	}

i=1;	i=1;
Line 5185 void removespace(char *str) {	Line 5959 void removespace(char *str) {
}	}

int decodemodel ( char model[], int lastobs) /**< This routine decode the model and returns:	int decodemodel ( char model[], int lastobs) /**< This routine decode the model and returns:
* Model V1+V2+V3+V8+V7V8+V5V6+V8age+V3age	* Model V1+V2+V3+V8+V7V8+V5V6+V8age+V3age+age*age
* - cptcovt total number of covariates of the model nbocc(+)+1 = 8	* - nagesqr = 1 if age*age in the model, otherwise 0.
* - cptcovn or number of covariates k of the models excluding age*products =6	* - cptcovt total number of covariates of the model nbocc(+)+1 = 8 excepting constant and age and age*age
	* - cptcovn or number of covariates k of the models excluding ageproducts =6 and ageage
* - cptcovage number of covariates with age*products =2	* - cptcovage number of covariates with age*products =2
* - cptcovs number of simple covariates	* - 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	* - 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
Line 5202 int decodemodel ( char model[], int last	Line 5977 int decodemodel ( char model[], int last
int j1, k1, k2;	int 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];
	char *strpt;

/removespace(model);/	/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=0, k2=-1, ks=0, cptcovn=0;	j=0, j1=0, k1=0, k2=-1, ks=0, cptcovn=0;
j=nbocc(model,'+'); /*< j=Number of '+' /
j1=nbocc(model,''); /< j1=Number of '' */
cptcovs=j+1-j1; /*< Number of simple covariates V1+V2age+V3 +V3V4=> V1 + V3 =2 /
cptcovt= j+1; /* Number of total covariates in the model V1 + V2age+ V3 + V3V4=> 4*/
/* 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);
if (strstr(model,"AGE") !=0){	if (strstr(model,"AGE") !=0){
printf("Error. AGE must be in lower case 'age' model=%s ",model);	printf("Error. AGE must be in lower case 'age' model=1+age+%s. ",model);
fprintf(ficlog,"Error. AGE must be in lower case model=%s ",model);fflush(ficlog);	fprintf(ficlog,"Error. AGE must be in lower case model=1+age+%s. ",model);fflush(ficlog);
return 1;	return 1;
}	}
if (strstr(model,"v") !=0){	if (strstr(model,"v") !=0){
Line 5225 int decodemodel ( char model[], int last	Line 5992 int decodemodel ( char model[], int last
fprintf(ficlog,"Error. 'v' must be in upper case model=%s ",model);fflush(ficlog);	fprintf(ficlog,"Error. 'v' must be in upper case model=%s ",model);fflush(ficlog);
return 1;	return 1;
}	}
	strcpy(modelsav,model);
/* Design	if ((strpt=strstr(model,"age*age")) !=0){
* V1 V2 V3 V4 V5 V6 V7 V8 V9 Weight	printf(" strpt=%s, model=%s\n",strpt, model);
* < ncovcol=8 >	if(strpt != model){
* Model V2 + V1 + V3age + V3 + V5V6 + V7V8 + V8age + V8	printf("Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \
* k= 1 2 3 4 5 6 7 8	'model=1+age+ageage+V1.' or 'model=1+age+ageage+V1+V1*age.', please swap as well as \n \
* cptcovn number of covariates (not including constant and age ) = # of + plus 1 = 7+1=8	corresponding column of parameters.\n",model);
* covar[k,i], value of kth covariate if not including age for individual i:	fprintf(ficlog,"Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \
* covar[1][i]= (V2), covar[4][i]=(V3), covar[8][i]=(V8)	'model=1+age+ageage+V1.' or 'model=1+age+ageage+V1+V1*age.', please swap as well as \n \
* Tvar[k] # of the kth covariate: Tvar[1]=2 Tvar[4]=3 Tvar[8]=8	corresponding column of parameters.\n",model); fflush(ficlog);
* if multiplied by age: V3age Tvar[3=V3age]=3 (V3) Tvar[7]=8 and	return 1;
* 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'.*/	nagesqr=1;
/* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */	if (strstr(model,"+age*age") !=0)
/* modelsav=V2+V1+V4+ageV3 strb=ageV3 stra=V2+V1+V4 */	substrchaine(modelsav, model, "+age*age");
/* k=4 (ageV3) Tvar[k=4]= 3 (from V3) Tage[cptcovage=1]=4 /	else if (strstr(model,"age*age+") !=0)
/* k=3 V4 Tvar[k=3]= 4 (from V4) */	substrchaine(modelsav, model, "age*age+");
/* k=2 V1 Tvar[k=2]= 1 (from V1) */	else
/* k=1 Tvar[1]=2 (from V2) */	substrchaine(modelsav, model, "age*age");
/* k=5 Tvar[5] */	}else
/* for (k=1; k<=cptcovn;k++) { */	nagesqr=0;
/* cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; */	if (strlen(modelsav) >1){
/* } */	j=nbocc(modelsav,'+'); /*< j=Number of '+' /
/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; /	j1=nbocc(modelsav,''); /< j1=Number of '' */
/*	cptcovs=j+1-j1; /*< Number of simple covariates V1+V1age+V3 +V3V4+ageage=> V1 + V3 =2 */
* Treating invertedly V2+V1+V3age+V2V4 is as if written V2V4 +V3age + V1 + V2 */	cptcovt= j+1; /* Number of total covariates in the model, not including
for(k=cptcovt; k>=1;k--) /*< Number of covariates /	* cst, age and age*age
	* V1+V1age+ V3 + V3V4+ageage=> 4/
	/* 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 */


	/* 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'.*/
	/* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */
	/* modelsav=V2+V1+V4+ageV3 strb=ageV3 stra=V2+V1+V4 */
	/* k=4 (ageV3) Tvar[k=4]= 3 (from V3) Tage[cptcovage=1]=4 /
	/* k=3 V4 Tvar[k=3]= 4 (from V4) */
	/* k=2 V1 Tvar[k=2]= 1 (from V1) */
	/* k=1 Tvar[1]=2 (from V2) */
	/* k=5 Tvar[5] */
	/* for (k=1; k<=cptcovn;k++) { */
	/* cov[2+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */
	/* } */
	/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k])]]cov[2]; /
	/*
	* Treating invertedly V2+V1+V3age+V2V4 is as if written V2V4 +V3age + V1 + V2 */
	for(k=cptcovt; k>=1;k--) /*< Number of covariates /
Tvar[k]=0;	Tvar[k]=0;
cptcovage=0;	cptcovage=0;
for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */	for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */
cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+'	cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+'
modelsav==V2+V1+V4+V3age strb=V3age stra=V2+V1+V4 */	modelsav==V2+V1+V4+V3age strb=V3age stra=V2+V1+V4 */
if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */	if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */
/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/	/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/
/scanf("%d",i);/	/scanf("%d",i);/
if (strchr(strb,'')) { /< Model includes a product V2+V1+V4+V3age strb=V3age /	if (strchr(strb,'')) { /< Model includes a product V2+V1+V4+V3age strb=V3age /
cutl(strc,strd,strb,''); /< strdstrc VmVn: strb=V3age(input) 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) { /*< Model includes age: Vnage */	if (strcmp(strc,"age")==0) { /*< Model includes age: Vnage */
/* covar is not filled and then is empty */	/* covar is not filled and then is empty */
cptcovprod--;	cptcovprod--;
cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */	cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */
Tvar[k]=atoi(stre); /* V2+V1+V4+V3age Tvar[4]=3 ; V1+V2age Tvar[2]=2 */	Tvar[k]=atoi(stre); /* V2+V1+V4+V3age Tvar[4]=3 ; V1+V2age Tvar[2]=2; V1+V1age Tvar[2]=1 /
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] = 4 */	Tage[cptcovage]=k; /* Tvar[4]=3, Tage[1] = 4 or V1+V1age Tvar[2]=1, Tage[1]=2 /
/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--;
cutl(stre,strb,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 product V2+V1+V1V4+V3age+V3V2 strb=V3V2*/
/* loops on k1=1 (V3V2) and k1=2 V4V3 */	/* loops on k1=1 (V3V2) and k1=2 V4V3 */
	cptcovn++;
	cptcovprodnoage++;k1++;
	cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3V2 stre=3 strc=/
	Tvar[k]=ncovcol+k1; /* 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+V3*V2
	Tvar[3=V1V4]=4+1 Tvar[5=V3V2]=4 + 2= 6, etc */
	cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */
	Tprod[k1]=k; /* Tprod[1]=3(=V1V4) for V2+V1+V1V4+ageV3+V3V2 */
	Tvard[k1][1] =atoi(strc); /* m 1 for V1*/
	Tvard[k1][2] =atoi(stre); /* n 4 for V4*/
	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 */
	/printf("d=%s c=%s b=%s\n", strd,strc,strb);/
	/* scanf("%d",i);*/
	cutl(strd,strc,strb,'V');
	ks++; /*< Number of simple covariates /
cptcovn++;	cptcovn++;
cptcovprodnoage++;k1++;	Tvar[k]=atoi(strd);
cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3V2 stre=3 strc=/	}
Tvar[k]=ncovcol+k1; /* For model-covariate k tells which data-covariate to use but	strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */
because this model-covariate is a construction we invent a new column	/*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);
ncovcol + k1	scanf("%d",i);*/
If already ncovcol=4 and model=V2+V1+V1V4+ageV3+V3*V2	} /* end of loop + on total covariates */
Tvar[3=V1V4]=4+1 Tvar[5=V3V2]=4 + 2= 6, etc */	} /* end if strlen(modelsave == 0) ageage might exist /
cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */	} /* end if strlen(model == 0) */
Tprod[k1]=k; /* Tprod[1]=3(=V1V4) for V2+V1+V1V4+ageV3+V3V2 */
Tvard[k1][1] =atoi(strc); /* m 1 for V1*/
Tvard[k1][2] =atoi(stre); /* n 4 for V4*/
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 */
/printf("d=%s c=%s b=%s\n", strd,strc,strb);/
/* scanf("%d",i);*/
cutl(strd,strc,strb,'V');
ks++; /*< Number of simple covariates /
cptcovn++;
Tvar[k]=atoi(strd);
}
strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */
/*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);
scanf("%d",i);*/
} /* end of loop + */
} /* end model */

/*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products.	/*The number n of Vn is stored in Tvar. cptcovage =number of age covariate. Tage gives the position of age. cptcovprod= number of products.
If model=V1+V1age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0/	If model=V1+V1age then Tvar[1]=1 Tvar[2]=1 cptcovage=1 Tage[1]=2 cptcovprod=0/
Line 5451 int calandcheckages(int imx, int maxwav,	Line 6254 int calandcheckages(int imx, int maxwav,
return (1);	return (1);
}	}

void syscompilerinfo()	#if defined(_MSC_VER)
	/printf("Visual C++ compiler: %s \n;", _MSC_FULL_VER);/
	/fprintf(ficlog, "Visual C++ compiler: %s \n;", _MSC_FULL_VER);/
	//#include "stdafx.h"
	//#include <stdio.h>
	//#include <tchar.h>
	//#include <windows.h>
	//#include <iostream>
	typedef BOOL(WINAPI *LPFN_ISWOW64PROCESS) (HANDLE, PBOOL);

	LPFN_ISWOW64PROCESS fnIsWow64Process;

	BOOL IsWow64()
	{
	BOOL bIsWow64 = FALSE;

	//typedef BOOL (APIENTRY *LPFN_ISWOW64PROCESS)
	// (HANDLE, PBOOL);

	//LPFN_ISWOW64PROCESS fnIsWow64Process;

	HMODULE module = GetModuleHandle(_T("kernel32"));
	const char funcName[] = "IsWow64Process";
	fnIsWow64Process = (LPFN_ISWOW64PROCESS)
	GetProcAddress(module, funcName);

	if (NULL != fnIsWow64Process)
	{
	if (!fnIsWow64Process(GetCurrentProcess(),
	&bIsWow64))
	//throw std::exception("Unknown error");
	printf("Unknown error\n");
	}
	return bIsWow64 != FALSE;
	}
	#endif

	void syscompilerinfo(int logged)
{	{
/* #include "syscompilerinfo.h"*/	/* #include "syscompilerinfo.h"*/
/* #include <gnu/libc-version.h> / / Only on gnu */	/* command line Intel compiler 32bit windows, XP compatible:*/
	/* /GS /W3 /Gy
	/Zc:wchar_t /Zi /O2 /Fd"Release\vc120.pdb" /D "WIN32" /D "NDEBUG" /D
	"_CONSOLE" /D "_LIB" /D "_USING_V110_SDK71_" /D "_UNICODE" /D
	"UNICODE" /Qipo /Zc:forScope /Gd /Oi /MT /Fa"Release\" /EHsc /nologo
	/Fo"Release\" /Qprof-dir "Release\" /Fp"Release\IMaCh.pch"
	*/
	/* 64 bits */
	/*
	/GS /W3 /Gy
	/Zc:wchar_t /Zi /O2 /Fd"x64\Release\vc120.pdb" /D "WIN32" /D "NDEBUG"
	/D "_CONSOLE" /D "_LIB" /D "_UNICODE" /D "UNICODE" /Qipo /Zc:forScope
	/Oi /MD /Fa"x64\Release\" /EHsc /nologo /Fo"x64\Release\" /Qprof-dir
	"x64\Release\" /Fp"x64\Release\IMaCh.pch" */
	/* Optimization are useless and O3 is slower than O2 */
	/*
	/GS /W3 /Gy /Zc:wchar_t /Zi /O3 /Fd"x64\Release\vc120.pdb" /D "WIN32"
	/D "NDEBUG" /D "_CONSOLE" /D "_LIB" /D "_UNICODE" /D "UNICODE" /Qipo
	/Zc:forScope /Oi /MD /Fa"x64\Release\" /EHsc /nologo /Qparallel
	/Fo"x64\Release\" /Qprof-dir "x64\Release\" /Fp"x64\Release\IMaCh.pch"
	*/
	/* Link is / / /OUT:"visual studio
	2013\Projects\IMaCh\Release\IMaCh.exe" /MANIFEST /NXCOMPAT
	/PDB:"visual studio
	2013\Projects\IMaCh\Release\IMaCh.pdb" /DYNAMICBASE
	"kernel32.lib" "user32.lib" "gdi32.lib" "winspool.lib"
	"comdlg32.lib" "advapi32.lib" "shell32.lib" "ole32.lib"
	"oleaut32.lib" "uuid.lib" "odbc32.lib" "odbccp32.lib"
	/MACHINE:X86 /OPT:REF /SAFESEH /INCREMENTAL:NO
	/SUBSYSTEM:CONSOLE",5.01" /MANIFESTUAC:"level='asInvoker'
	uiAccess='false'"
	/ManifestFile:"Release\IMaCh.exe.intermediate.manifest" /OPT:ICF
	/NOLOGO /TLBID:1
	*/
	#if defined __INTEL_COMPILER
	#if defined(__GNUC__)
	struct utsname sysInfo; /* For Intel on Linux and OS/X */
	#endif
	#elif defined(__GNUC__)
	#ifndef __APPLE__
	#include <gnu/libc-version.h> /* Only on gnu */
	#endif
	struct utsname sysInfo;
	int cross = CROSS;
	if (cross){
	printf("Cross-");
	if(logged) fprintf(ficlog, "Cross-");
	}
	#endif

#include <stdint.h>	#include <stdint.h>
printf("Compiled with:");fprintf(ficlog,"Compiled with:");
	printf("Compiled with:");if(logged)fprintf(ficlog,"Compiled with:");
#if defined(__clang__)	#if defined(__clang__)
printf(" Clang/LLVM");fprintf(ficlog," Clang/LLVM"); /* Clang/LLVM. ---------------------------------------------- */	printf(" Clang/LLVM");if(logged)fprintf(ficlog," Clang/LLVM"); /* Clang/LLVM. ---------------------------------------------- */
#endif	#endif
#if defined(__ICC) \|\| defined(__INTEL_COMPILER)	#if defined(__ICC) \|\| defined(__INTEL_COMPILER)
printf(" Intel ICC/ICPC");fprintf(ficlog," Intel ICC/ICPC");/* Intel ICC/ICPC. ------------------------------------------ */	printf(" Intel ICC/ICPC");if(logged)fprintf(ficlog," Intel ICC/ICPC");/* Intel ICC/ICPC. ------------------------------------------ */
#endif	#endif
#if defined(__GNUC__) \|\| defined(__GNUG__)	#if defined(__GNUC__) \|\| defined(__GNUG__)
printf(" GNU GCC/G++");fprintf(ficlog," GNU GCC/G++");/* GNU GCC/G++. --------------------------------------------- */	printf(" GNU GCC/G++");if(logged)fprintf(ficlog," GNU GCC/G++");/* GNU GCC/G++. --------------------------------------------- */
#endif	#endif
#if defined(__HP_cc) \|\| defined(__HP_aCC)	#if defined(__HP_cc) \|\| defined(__HP_aCC)
printf(" Hewlett-Packard C/aC++");fprintf(fcilog," Hewlett-Packard C/aC++"); /* Hewlett-Packard C/aC++. ---------------------------------- */	printf(" Hewlett-Packard C/aC++");if(logged)fprintf(fcilog," Hewlett-Packard C/aC++"); /* Hewlett-Packard C/aC++. ---------------------------------- */
#endif	#endif
#if defined(__IBMC__) \|\| defined(__IBMCPP__)	#if defined(__IBMC__) \|\| defined(__IBMCPP__)
printf(" IBM XL C/C++"); fprintf(ficlog," IBM XL C/C++");/* IBM XL C/C++. -------------------------------------------- */	printf(" IBM XL C/C++"); if(logged) fprintf(ficlog," IBM XL C/C++");/* IBM XL C/C++. -------------------------------------------- */
#endif	#endif
#if defined(_MSC_VER)	#if defined(_MSC_VER)
printf(" Microsoft Visual Studio");fprintf(ficlog," Microsoft Visual Studio");/* Microsoft Visual Studio. --------------------------------- */	printf(" Microsoft Visual Studio");if(logged)fprintf(ficlog," Microsoft Visual Studio");/* Microsoft Visual Studio. --------------------------------- */
#endif	#endif
#if defined(__PGI)	#if defined(__PGI)
printf(" Portland Group PGCC/PGCPP");fprintf(ficlog," Portland Group PGCC/PGCPP");/* Portland Group PGCC/PGCPP. ------------------------------- */	printf(" Portland Group PGCC/PGCPP");if(logged) fprintf(ficlog," Portland Group PGCC/PGCPP");/* Portland Group PGCC/PGCPP. ------------------------------- */
#endif	#endif
#if defined(__SUNPRO_C) \|\| defined(__SUNPRO_CC)	#if defined(__SUNPRO_C) \|\| defined(__SUNPRO_CC)
printf(" Oracle Solaris Studio");fprintf(ficlog," Oracle Solaris Studio\n");/* Oracle Solaris Studio. ----------------------------------- */	printf(" Oracle Solaris Studio");if(logged)fprintf(ficlog," Oracle Solaris Studio\n");/* Oracle Solaris Studio. ----------------------------------- */
#endif	#endif
printf(". ");fprintf(ficlog,". ");	printf(" for "); if (logged) fprintf(ficlog, " for ");

// http://stackoverflow.com/questions/4605842/how-to-identify-platform-compiler-from-preprocessor-macros	// http://stackoverflow.com/questions/4605842/how-to-identify-platform-compiler-from-preprocessor-macros
#ifdef _WIN32 // note the underscore: without it, it's not msdn official!	#ifdef _WIN32 // note the underscore: without it, it's not msdn official!
// Windows (x64 and x86)	// Windows (x64 and x86)
	printf("Windows (x64 and x86) ");if(logged) fprintf(ficlog,"Windows (x64 and x86) ");
#elif __unix__ // all unices, not all compilers	#elif __unix__ // all unices, not all compilers
// Unix	// Unix
	printf("Unix ");if(logged) fprintf(ficlog,"Unix ");
#elif __linux__	#elif __linux__
// linux	// linux
	printf("linux ");if(logged) fprintf(ficlog,"linux ");
#elif __APPLE__	#elif __APPLE__
// Mac OS, not sure if this is covered by __posix__ and/or __unix__ though...	// Mac OS, not sure if this is covered by __posix__ and/or __unix__ though..
	printf("Mac OS ");if(logged) fprintf(ficlog,"Mac OS ");
#endif	#endif

/* __MINGW32__ */	/* __MINGW32__ */
Line 5505 void syscompilerinfo()	Line 6399 void syscompilerinfo()
/* _DEBUG // Defined when you compile with /LDd, /MDd, and /MTd. */	/* _DEBUG // Defined when you compile with /LDd, /MDd, and /MTd. */

#if UINTPTR_MAX == 0xffffffff	#if UINTPTR_MAX == 0xffffffff
printf(" 32-bit.\n"); fprintf(ficlog," 32-bit.\n");/* 32-bit */	printf(" 32-bit"); if(logged) fprintf(ficlog," 32-bit");/* 32-bit */
#elif UINTPTR_MAX == 0xffffffffffffffff	#elif UINTPTR_MAX == 0xffffffffffffffff
printf(" 64-bit.\n"); fprintf(ficlog," 64-bit.\n");/* 64-bit */	printf(" 64-bit"); if(logged) fprintf(ficlog," 64-bit");/* 64-bit */
#else	#else
printf(" wtf-bit.\n"); fprintf(ficlog," wtf-bit.\n");/* wtf */	printf(" wtf-bit"); if(logged) fprintf(ficlog," wtf-bit");/* wtf */
#endif	#endif

/* struct utsname sysInfo;

if (uname(&sysInfo) != -1) {
printf(" %s %s %s %s %s\n",sysInfo.sysname, sysInfo.nodename, sysInfo.release, sysInfo.version, sysInfo.machine);
fprintf(ficlog," %s %s %s %s %s\n ",sysInfo.sysname, sysInfo.nodename, sysInfo.release, sysInfo.version, sysInfo.machine);
}
else
perror("uname() error");
*/
#if defined(__GNUC__)	#if defined(__GNUC__)
# if defined(__GNUC_PATCHLEVEL__)	# if defined(__GNUC_PATCHLEVEL__)
# define __GNUC_VERSION__ (__GNUC__ * 10000 \	# define __GNUC_VERSION__ (__GNUC__ * 10000 \
Line 5530 void syscompilerinfo()	Line 6415 void syscompilerinfo()
# define __GNUC_VERSION__ (__GNUC__ * 10000 \	# define __GNUC_VERSION__ (__GNUC__ * 10000 \
+ __GNUC_MINOR__ * 100)	+ __GNUC_MINOR__ * 100)
# endif	# endif
printf("GNU C version %d.\n", __GNUC_VERSION__);	printf(" using GNU C version %d.\n", __GNUC_VERSION__);
fprintf(ficlog, "GNU C version %d.\n", __GNUC_VERSION__);	if(logged) fprintf(ficlog, " using GNU C version %d.\n", __GNUC_VERSION__);

	if (uname(&sysInfo) != -1) {
	printf("Running on: %s %s %s %s %s\n",sysInfo.sysname, sysInfo.nodename, sysInfo.release, sysInfo.version, sysInfo.machine);
	if(logged) fprintf(ficlog,"Running on: %s %s %s %s %s\n ",sysInfo.sysname, sysInfo.nodename, sysInfo.release, sysInfo.version, sysInfo.machine);
	}
	else
	perror("uname() error");
	//#ifndef __INTEL_COMPILER
	#if !defined (__INTEL_COMPILER) && !defined(__APPLE__)
	printf("GNU libc version: %s\n", gnu_get_libc_version());
	if(logged) fprintf(ficlog,"GNU libc version: %s\n", gnu_get_libc_version());
#endif	#endif
	#endif

	// void main()
	// {
#if defined(_MSC_VER)	#if defined(_MSC_VER)
/printf("Visual C++ compiler: %s \n;", _MSC_FULL_VER);/	if (IsWow64()){
/fprintf(ficlog, "Visual C++ compiler: %s \n;", _MSC_FULL_VER);/	printf("\nThe program (probably compiled for 32bit) is running under WOW64 (64bit) emulation.\n");
	if (logged) fprintf(ficlog, "\nThe program (probably compiled for 32bit) is running under WOW64 (64bit) emulation.\n");
	}
	else{
	printf("\nThe program is not running under WOW64 (i.e probably on a 64bit Windows).\n");
	if (logged) fprintf(ficlog, "\nThe programm is not running under WOW64 (i.e probably on a 64bit Windows).\n");
	}
	// printf("\nPress Enter to continue...");
	// getchar();
	// }

#endif	#endif

/* printf("GNU libc version: %s\n", gnu_get_libc_version()); */

}	}

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

	strcpy(filerespl,"PL_");
	strcat(filerespl,fileresu);
	if((ficrespl=fopen(filerespl,"w"))==NULL) {
	printf("Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1;
	fprintf(ficlog,"Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1;
	}
	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. Precision given by ftolpl=%g \n", ftolpl);
	fprintf(ficrespl,"#Age ");
	for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);
	fprintf(ficrespl,"\n");

	/* prlim=matrix(1,nlstate,1,nlstate);/ / back in main */

	agebase=ageminpar;
	agelim=agemaxpar;

	i1=pow(2,cptcoveff);
	if (cptcovn < 1){i1=1;}

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

	fprintf(ficrespl,"#Age ");
	for(j=1;j<=cptcoveff;j++) {
	fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
	}
	for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i);
	fprintf(ficrespl,"Total Years_to_converge\n");

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

	int hPijx(double *p, int bage, int fage){
	/------------- h Pij x at various ages ------------/

	int stepsize;
	int agelim;
	int hstepm;
	int nhstepm;
	int h, i, i1, j, k;

	double agedeb;
	double ***p3mat;

	strcpy(filerespij,"PIJ_"); strcat(filerespij,fileresu);
	if((ficrespij=fopen(filerespij,"w"))==NULL) {
	printf("Problem with Pij resultfile: %s\n", filerespij); return 1;
	fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij); return 1;
	}
	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 ");
	i1= pow(2,cptcoveff);
	/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */
	/* /\for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){\/ */
	/* k=k+1; */
	for (k=1; k <= (int) pow(2,cptcoveff); k++){
	fprintf(ficrespij,"\n#****** ");
	for(j=1;j<=cptcoveff;j++)
	fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(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);
	oldm=oldms;savm=savms;
	hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);
	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++){
	/agedebphstep = agedeb + hhstepm/YEARMstepm;/
	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");
	}
	/}/
	}
	return 0;
	}


/***********************************************/	/***********************************************/
/************** Main Program ***************/	/************** Main Program ***************/
/***********************************************/	/***********************************************/
Line 5557 int main(int argc, char *argv[])	Line 6609 int main(int argc, char *argv[])
#endif	#endif
int movingaverage(double *probs, double bage,double fage, double *mobaverage, int mobilav);	int movingaverage(double *probs, double bage,double fage, double *mobaverage, int mobilav);
int i,j, k, n=MAXN,iter=0,m,size=100, cptcod;	int i,j, k, n=MAXN,iter=0,m,size=100, cptcod;
	int ncvyearnp=0;
	int ncvyear=&ncvyearnp; / Number of years needed for the period prevalence to converge */
int jj, ll, li, lj, lk;	int jj, ll, li, lj, lk;
int numlinepar=0; /* Current linenumber of parameter file */	int numlinepar=0; /* Current linenumber of parameter file */
	int num_filled;
int itimes;	int itimes;
int NDIM=2;	int NDIM=2;
int vpopbased=0;	int vpopbased=0;
Line 5568 int main(int argc, char *argv[])	Line 6622 int main(int argc, char *argv[])
/* FILE fichtm; //* Html File */	/* FILE fichtm; //* Html File */
/* FILE ficgp;/ /Gnuplot File /	/* FILE ficgp;/ /Gnuplot File /
struct stat info;	struct stat info;
double agedeb;	double agedeb=0.;
double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20;
	double ageminpar=AGEOVERFLOW,agemin=AGEOVERFLOW, agemaxpar=-AGEOVERFLOW, agemax=-AGEOVERFLOW;

double fret;	double fret;
double dum; /* Dummy variable */	double dum=0.; /* Dummy variable */
double ***p3mat;	double ***p3mat;
double ***mobaverage;	double ***mobaverage;

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

	char model[MAXLINE], modeltemp[MAXLINE];
char pathr[MAXLINE], pathimach[MAXLINE];	char pathr[MAXLINE], pathimach[MAXLINE];
char tok, val; /* pathtot */	char tok, val; /* pathtot */
int firstobs=1, lastobs=10;	int firstobs=1, lastobs=10;
int c, h , cpt;	int c, h , cpt, c2;
int jl;	int jl=0;
int i1, j1, jk, stepsize;	int i1, j1, jk, stepsize=0;
	int count=0;

int *tab;	int *tab;
int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */	int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */
int mobilav=0,popforecast=0;	int mobilav=0,popforecast=0;
int hstepm, nhstepm;	int hstepm=0, nhstepm=0;
int agemortsup;	int agemortsup;
float sumlpop=0.;	float sumlpop=0.;
double jprev1=1, mprev1=1,anprev1=2000,jprev2=1, mprev2=1,anprev2=2000;	double jprev1=1, mprev1=1,anprev1=2000,jprev2=1, mprev2=1,anprev2=2000;
double jpyram=1, mpyram=1,anpyram=2000,jpyram1=1, mpyram1=1,anpyram1=2000;	double jpyram=1, mpyram=1,anpyram=2000,jpyram1=1, mpyram1=1,anpyram1=2000;

double bage=0, fage=110, age, agelim, agebase;	double bage=0, fage=110., age, agelim=0., agebase=0.;
double ftolpl=FTOL;	double ftolpl=FTOL;
double **prlim;	double **prlim;
double **param; / Matrix of parameters */	double **param; / Matrix of parameters */
double *p;	double *p;
double *matcov; / Matrix of covariance */	double *matcov; / Matrix of covariance */
	double *hess; / Hessian matrix */
double **delti3; / Scale */	double **delti3; / Scale */
double delti; / Scale */	double delti; / Scale */
double *eij, *vareij;	double *eij, *vareij;
Line 5649 int main(int argc, char *argv[])	Line 6709 int main(int argc, char *argv[])

nberr=0; /* Number of errors and warnings */	nberr=0; /* Number of errors and warnings */
nbwarn=0;	nbwarn=0;
	#ifdef WIN32
	_getcwd(pathcd, size);
	#else
getcwd(pathcd, size);	getcwd(pathcd, size);
	#endif
printf("\n%s\n%s",version,fullversion);	syscompilerinfo(0);
	printf("\nIMaCh version %s, %s\n%s",version, copyright, fullversion);
if(argc <=1){	if(argc <=1){
printf("\nEnter the parameter file name: ");	printf("\nEnter the parameter file name: ");
fgets(pathr,FILENAMELENGTH,stdin);	fgets(pathr,FILENAMELENGTH,stdin);
Line 5685 int main(int argc, char *argv[])	Line 6749 int main(int argc, char *argv[])
/* Split argv[1]=pathtot, parameter file name to get path, optionfile, extension and name */	/* Split argv[1]=pathtot, parameter file name to get path, optionfile, extension and name */
split(pathtot,path,optionfile,optionfilext,optionfilefiname);	split(pathtot,path,optionfile,optionfilext,optionfilefiname);
printf("\npathtot=%s,\npath=%s,\noptionfile=%s \noptionfilext=%s \noptionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);	printf("\npathtot=%s,\npath=%s,\noptionfile=%s \noptionfilext=%s \noptionfilefiname=%s\n",pathtot,path,optionfile,optionfilext,optionfilefiname);
	#ifdef WIN32
	_chdir(path); /* Can be a relative path */
	if(_getcwd(pathcd,MAXLINE) > 0) /* So pathcd is the full path */
	#else
chdir(path); /* Can be a relative path */	chdir(path); /* Can be a relative path */
if(getcwd(pathcd,MAXLINE) > 0) /* So pathcd is the full path */	if (getcwd(pathcd, MAXLINE) > 0) /* So pathcd is the full path */
printf("Current directory %s!\n",pathcd);	#endif
	printf("Current directory %s!\n",pathcd);
strcpy(command,"mkdir ");	strcpy(command,"mkdir ");
strcat(command,optionfilefiname);	strcat(command,optionfilefiname);
if((outcmd=system(command)) != 0){	if((outcmd=system(command)) != 0){
Line 5702 int main(int argc, char *argv[])	Line 6771 int main(int argc, char *argv[])

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

/* Log file */	/* Main Log file */
strcat(filelog, optionfilefiname);	strcat(filelog, optionfilefiname);
strcat(filelog,".log"); /* */	strcat(filelog,".log"); /* */
if((ficlog=fopen(filelog,"w"))==NULL) {	if((ficlog=fopen(filelog,"w"))==NULL) {
Line 5710 int main(int argc, char *argv[])	Line 6779 int main(int argc, char *argv[])
goto end;	goto end;
}	}
fprintf(ficlog,"Log filename:%s\n",filelog);	fprintf(ficlog,"Log filename:%s\n",filelog);
fprintf(ficlog,"\n%s\n%s",version,fullversion);	fprintf(ficlog,"Version %s %s",version,fullversion);
fprintf(ficlog,"\nEnter the parameter file name: \n");	fprintf(ficlog,"\nEnter the parameter file name: \n");
fprintf(ficlog,"pathimach=%s\npathtot=%s\n\	fprintf(ficlog,"pathimach=%s\npathtot=%s\n\
path=%s \n\	path=%s \n\
Line 5718 int main(int argc, char *argv[])	Line 6787 int main(int argc, char *argv[])
optionfilext=%s\n\	optionfilext=%s\n\
optionfilefiname='%s'\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname);	optionfilefiname='%s'\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname);

syscompilerinfo();	syscompilerinfo(1);

printf("Local time (at start):%s",strstart);	printf("Local time (at start):%s",strstart);
fprintf(ficlog,"Local time (at start): %s",strstart);	fprintf(ficlog,"Local time (at start): %s",strstart);
Line 5729 int main(int argc, char *argv[])	Line 6798 int main(int argc, char *argv[])
/* */	/* */
strcpy(fileres,"r");	strcpy(fileres,"r");
strcat(fileres, optionfilefiname);	strcat(fileres, optionfilefiname);
	strcat(fileresu, optionfilefiname); /* Without r in front */
strcat(fileres,".txt"); /* Other files have txt extension */	strcat(fileres,".txt"); /* Other files have txt extension */
	strcat(fileresu,".txt"); /* Other files have txt extension */

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

if((ficpar=fopen(optionfile,"r"))==NULL) {	if((ficpar=fopen(optionfile,"r"))==NULL) {
printf("Problem with optionfile '%s' with errno='%s'\n",optionfile,strerror(errno));	printf("Problem with optionfile '%s' with errno='%s'\n",optionfile,strerror(errno));
Line 5744 int main(int argc, char *argv[])	Line 6815 int main(int argc, char *argv[])


strcpy(filereso,"o");	strcpy(filereso,"o");
strcat(filereso,fileres);	strcat(filereso,fileresu);
if((ficparo=fopen(filereso,"w"))==NULL) { /* opened on subdirectory */	if((ficparo=fopen(filereso,"w"))==NULL) { /* opened on subdirectory */
printf("Problem with Output resultfile: %s\n", filereso);	printf("Problem with Output resultfile: %s\n", filereso);
fprintf(ficlog,"Problem with Output resultfile: %s\n", filereso);	fprintf(ficlog,"Problem with Output resultfile: %s\n", filereso);
Line 5754 int main(int argc, char *argv[])	Line 6825 int main(int argc, char *argv[])

/* Reads comments: lines beginning with '#' */	/* Reads comments: lines beginning with '#' */
numlinepar=0;	numlinepar=0;
while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	/* First parameter line */
fgets(line, MAXLINE, ficpar);	while(fgets(line, MAXLINE, ficpar)) {
	/* If line starts with a # it is a comment */
	if (line[0] == '#') {
	numlinepar++;
	fputs(line,stdout);
	fputs(line,ficparo);
	fputs(line,ficlog);
	continue;
	}else
	break;
	}
	if((num_filled=sscanf(line,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", \
	title, datafile, &lastobs, &firstpass,&lastpass)) !=EOF){
	if (num_filled != 5) {
	printf("Should be 5 parameters\n");
	}
numlinepar++;	numlinepar++;
fputs(line,stdout);	printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", title, datafile, lastobs, firstpass,lastpass);
fputs(line,ficparo);
fputs(line,ficlog);
}	}
ungetc(c,ficpar);	/* Second parameter line */
	while(fgets(line, MAXLINE, ficpar)) {
fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);	/* If line starts with a # it is a comment */
numlinepar++;	if (line[0] == '#') {
printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model);	numlinepar++;
fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);	fputs(line,stdout);
fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);	fputs(line,ficparo);
	fputs(line,ficlog);
	continue;
	}else
	break;
	}
	if((num_filled=sscanf(line,"ftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n", \
	&ftol, &stepm, &ncovcol, &nlstate, &ndeath, &maxwav, &mle, &weightopt)) !=EOF){
	if (num_filled != 8) {
	printf("Not 8\n");
	}
	printf("ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n",ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt);
	}
	/* ftolpl=6ftol1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit \/ /
	ftolpl=6.e-3; /* 6.e-3 make convergences in less than 80 loops for the prevalence limit */
	/* Third parameter line */
	while(fgets(line, MAXLINE, ficpar)) {
	/* If line starts with a # it is a comment */
	if (line[0] == '#') {
	numlinepar++;
	fputs(line,stdout);
	fputs(line,ficparo);
	fputs(line,ficlog);
	continue;
	}else
	break;
	}
	if((num_filled=sscanf(line,"model=1+age%[^.\n]", model)) !=EOF){
	if (num_filled == 0)
	model[0]='\0';
	else if (num_filled != 1){
	printf("ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line);
	fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line);
	model[0]='\0';
	goto end;
	}
	else{
	if (model[0]=='+'){
	for(i=1; i<=strlen(model);i++)
	modeltemp[i-1]=model[i];
	strcpy(model,modeltemp);
	}
	}
	/* printf(" model=1+age%s modeltemp= %s, model=%s\n",model, modeltemp, model);fflush(stdout); */
	printf("model=1+age+%s\n",model);fflush(stdout);
	}
	/* fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=1+age+%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model); */
	/* numlinepar=numlinepar+3; /\* In general \/ /
	/* printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model); */
	fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);
	fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);
fflush(ficlog);	fflush(ficlog);
	/* if(model[0]=='#'\|\| model[0]== '\0'){ */
	if(model[0]=='#'){
	printf("Error in 'model' line: model should start with 'model=1+age+' and end with '.' \n \
	'model=1+age+.' or 'model=1+age+V1.' or 'model=1+age+ageage+V1+V1age.' or \n \
	'model=1+age+V1+V2.' or 'model=1+age+V1+V2+V1*V2.' etc. \n"); \
	if(mle != -1){
	printf("Fix the model line and run imach with mle=-1 to get a correct template of the parameter file.\n");
	exit(1);
	}
	}
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++;
	if(line[1]=='q'){ /* This #q will quit imach (the answer is q) */
	z[0]=line[1];
	}
	/* printf("***line [1] = %c \n",line[1]); /
fputs(line, stdout);	fputs(line, stdout);
//puts(line);	//puts(line);
fputs(line,ficparo);	fputs(line,ficparo);
Line 5788 int main(int argc, char *argv[])	Line 6936 int main(int argc, char *argv[])
v1+v2age+v2v3 makes cptcovn = 3	v1+v2age+v2v3 makes cptcovn = 3
*/	*/
if (strlen(model)>1)	if (strlen(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/	ncovmodel=2+nbocc(model,'+')+1; /Number of variables including intercept and age = cptcovn + intercept + age : v1+v2+v3+v2v4+v5age makes 5+2=7,ageage makes 3*/
else	else
ncovmodel=2;	ncovmodel=2; /* Constant and age */
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*/
if(npar >MAXPARM \|\| nlstate >NLSTATEMAX \|\| ndeath >NDEATHMAX \|\| ncovmodel>NCOVMAX){	if(npar >MAXPARM \|\| nlstate >NLSTATEMAX \|\| ndeath >NDEATHMAX \|\| ncovmodel>NCOVMAX){
Line 5806 int main(int argc, char *argv[])	Line 6953 int main(int argc, char *argv[])
/delti=vector(1,npar); //* Scale of each paramater (output from hesscov)*/	/delti=vector(1,npar); //* Scale of each paramater (output from hesscov)*/
if(mle==-1){ /* Print a wizard for help writing covariance matrix */	if(mle==-1){ /* Print a wizard for help writing covariance matrix */
prwizard(ncovmodel, nlstate, ndeath, model, ficparo);	prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
printf(" You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso);	printf(" You chose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
fprintf(ficlog," You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso);	fprintf(ficlog," You chose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);	free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
fclose (ficparo);	fclose (ficparo);
fclose (ficlog);	fclose (ficlog);
goto end;	goto end;
exit(0);	exit(0);
}	}
else if(mle==-3) {	else if(mle==-3) { /* Main Wizard */
prwizard(ncovmodel, nlstate, ndeath, model, ficparo);	prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
printf(" You choose mle=-3, look at file %s for a template of covariance matrix \n",filereso);	printf(" You chose mle=-3, look at file %s for a template of covariance matrix \n",filereso);
fprintf(ficlog," You choose mle=-3, look at file %s for a template of covariance matrix \n",filereso);	fprintf(ficlog," You chose mle=-3, look at file %s for a template of covariance matrix \n",filereso);
param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);	param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
matcov=matrix(1,npar,1,npar);	matcov=matrix(1,npar,1,npar);
	hess=matrix(1,npar,1,npar);
}	}
else{	else{
/* Read guessed parameters */	/* Read guessed parameters */
Line 5841 int main(int argc, char *argv[])	Line 6989 int main(int argc, char *argv[])
if(jj==i) continue;	if(jj==i) continue;
j++;	j++;
fscanf(ficpar,"%1d%1d",&i1,&j1);	fscanf(ficpar,"%1d%1d",&i1,&j1);
if ((i1 != i) && (j1 != j)){	if ((i1 != i) \|\| (j1 != jj)){
printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \	printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \
It might be a problem of design; if ncovcol and the model are correct\n \	It might be a problem of design; if ncovcol and the model are correct\n \
run imach with mle=-1 to get a correct template of the parameter file.\n",numlinepar, i,j, i1, j1);	run imach with mle=-1 to get a correct template of the parameter file.\n",numlinepar, i,j, i1, j1);
Line 5849 run imach with mle=-1 to get a correct t	Line 6997 run imach with mle=-1 to get a correct t
}	}
fprintf(ficparo,"%1d%1d",i1,j1);	fprintf(ficparo,"%1d%1d",i1,j1);
if(mle==1)	if(mle==1)
printf("%1d%1d",i,j);	printf("%1d%1d",i,jj);
fprintf(ficlog,"%1d%1d",i,j);	fprintf(ficlog,"%1d%1d",i,jj);
for(k=1; k<=ncovmodel;k++){	for(k=1; k<=ncovmodel;k++){
fscanf(ficpar," %lf",&param[i][j][k]);	fscanf(ficpar," %lf",&param[i][j][k]);
if(mle==1){	if(mle==1){
Line 5928 run imach with mle=-1 to get a correct t	Line 7076 run imach with mle=-1 to get a correct t
ungetc(c,ficpar);	ungetc(c,ficpar);

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

	/* Scans npar lines */
for(i=1; i <=npar; i++){	for(i=1; i <=npar; i++){
fscanf(ficpar,"%s",str);	count=fscanf(ficpar,"%1d%1d%1d",&i1,&j1,&jk);
	if(count != 3){
	printf("Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\
	This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\
	Please run with mle=-1 to get a correct covariance matrix.\n",optionfile,numlinepar, i1,j1,jk, npar, model);
	fprintf(ficlog,"Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\
	This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\
	Please run with mle=-1 to get a correct covariance matrix.\n",optionfile,numlinepar, i1,j1,jk, npar, model);
	exit(1);
	}else
if(mle==1)	if(mle==1)
printf("%s",str);	printf("%1d%1d%1d",i1,j1,jk);
fprintf(ficlog,"%s",str);	fprintf(ficlog,"%1d%1d%1d",i1,j1,jk);
fprintf(ficparo,"%s",str);	fprintf(ficparo,"%1d%1d%1d",i1,j1,jk);
for(j=1; j <=i; j++){	for(j=1; j <=i; j++){
fscanf(ficpar," %le",&matcov[i][j]);	fscanf(ficpar," %le",&matcov[i][j]);
if(mle==1){	if(mle==1){
Line 5952 run imach with mle=-1 to get a correct t	Line 7111 run imach with mle=-1 to get a correct t
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
fprintf(ficparo,"\n");	fprintf(ficparo,"\n");
}	}
	/* End of read covariance matrix npar lines */
for(i=1; i <=npar; i++)	for(i=1; i <=npar; i++)
for(j=i+1;j<=npar;j++)	for(j=i+1;j<=npar;j++)
matcov[i][j]=matcov[j][i];	matcov[i][j]=matcov[j][i];
Line 5968 run imach with mle=-1 to get a correct t	Line 7128 run imach with mle=-1 to get a correct t
strcat(rfileres,"."); /* */	strcat(rfileres,"."); /* */
strcat(rfileres,optionfilext); /* Other files have txt extension */	strcat(rfileres,optionfilext); /* Other files have txt extension */
if((ficres =fopen(rfileres,"w"))==NULL) {	if((ficres =fopen(rfileres,"w"))==NULL) {
printf("Problem writing new parameter file: %s\n", fileres);goto end;	printf("Problem writing new parameter file: %s\n", rfileres);goto end;
fprintf(ficlog,"Problem writing new parameter file: %s\n", fileres);goto end;	fprintf(ficlog,"Problem writing new parameter file: %s\n", rfileres);goto end;
}	}
fprintf(ficres,"#%s\n",version);	fprintf(ficres,"#%s\n",version);
} /* End of mle != -3 */	} /* End of mle != -3 */

	/* Main data
	*/
n= lastobs;	n= lastobs;
num=lvector(1,n);	num=lvector(1,n);
moisnais=vector(1,n);	moisnais=vector(1,n);
Line 5990 run imach with mle=-1 to get a correct t	Line 7151 run imach with mle=-1 to get a correct t
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,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2*ncov; V1+V2+V3+V4=>16 /	ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2*ncov; V1+V2+V3+V4=>16 /
	ncodemaxwundef=ivector(1,NCOVMAX); /* Number of code per covariate; if - 1 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)
Line 6025 run imach with mle=-1 to get a correct t	Line 7187 run imach with mle=-1 to get a correct t
Tage[1=V3age]= 4; Tage[2=ageV4] = 3	Tage[1=V3age]= 4; Tage[2=ageV4] = 3
*/	*/

	/* Main decodemodel */


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

Line 6068 run imach with mle=-1 to get a correct t	Line 7233 run imach with mle=-1 to get a correct t
nbcode=imatrix(0,NCOVMAX,0,NCOVMAX);	nbcode=imatrix(0,NCOVMAX,0,NCOVMAX);
ncodemax[1]=1;	ncodemax[1]=1;
Ndum =ivector(-1,NCOVMAX);	Ndum =ivector(-1,NCOVMAX);
if (ncovmodel > 2)	if (ncovmodel-nagesqr > 2 ) /* That is if covariate other than cst, age and ageage /
tricode(Tvar,nbcode,imx, Ndum); /*< Fills nbcode[Tvar[j]][l]; /	tricode(Tvar,nbcode,imx, Ndum); /*< Fills nbcode[Tvar[j]][l]; /
	/* Nbcode gives the value of the lth modality of jth covariate, in
codtab=imatrix(1,100,1,10); /* codtab[h,k]=( (h-1) - mod(k-1,2(k-1) )/2(k-1) */	V2+V1age, there are 3 covariates Tvar[2]=1 (V1)./
/printf(" codtab[1,1],codtab[100,10]=%d,%d\n", codtab[1][1],codtab[100][10]);/	/* 1 to ncodemax[j] is the maximum value of this jth covariate */

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


Line 6081 run imach with mle=-1 to get a correct t	Line 7250 run imach with mle=-1 to get a correct t

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

for(k=1;k<=cptcoveff; k++){ /* scans any effective covariate */
for(i=1; i <=pow(2,cptcoveff-k);i++){ /* i=1 to 8/1=8; i=1 to 8/2=4; i=1 to 8/8=1 */
for(j=1; j <= ncodemax[k]; j++){ /* For each modality of this covariate ncodemax=2*/
for(cpt=1; cpt <=pow(2,k-1); cpt++){ /* cpt=1 to 8/2*(3+1-1 or 3+1-3) =1 or 4 /
h++;
if (h>m)
h=1;
/< codtab(h,k) k = codtab[h,k]=( (h-1) - mod(k-1,2(k-1) )/2**(k-1) + 1	/< codtab(h,k) k = codtab[h,k]=( (h-1) - mod(k-1,2(k-1) )/2**(k-1) + 1
* h 1 2 3 4	* For k=4 covariates, h goes from 1 to 2**k
	* codtabm(h,k)= 1 & (h-1) >> (k-1) ;
	* h\k 1 2 3 4
*______________________________	*______________________________
* 1 i=1 1 i=1 1 i=1 1 i=1 1	* 1 i=1 1 i=1 1 i=1 1 i=1 1
* 2 2 1 1 1	* 2 2 1 1 1
Line 6099 run imach with mle=-1 to get a correct t	Line 7263 run imach with mle=-1 to get a correct t
* 6 2 1 2 1	* 6 2 1 2 1
* 7 i=4 1 2 2 1	* 7 i=4 1 2 2 1
* 8 2 2 2 1	* 8 2 2 2 1
* 9 i=5 1 i=3 1 i=2 1 1	* 9 i=5 1 i=3 1 i=2 1 2
* 10 2 1 1 1	* 10 2 1 1 2
* 11 i=6 1 2 1 1	* 11 i=6 1 2 1 2
* 12 2 2 1 1	* 12 2 2 1 2
* 13 i=7 1 i=4 1 2 1	* 13 i=7 1 i=4 1 2 2
* 14 2 1 2 1	* 14 2 1 2 2
* 15 i=8 1 2 2 1	* 15 i=8 1 2 2 2
* 16 2 2 2 1	* 16 2 2 2 2
*/	*/
codtab[h][k]=j;	/* /\* for(h=1; h <=100 ;h++){ \/ /
/codtab[h][Tvar[k]]=j;/	/* /\* printf("h=%2d ", h); \/ /
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]]);	/* /\* for(k=1; k <=10; k++){ \/ /
}	/* /\* printf("k=%d %d ",k,codtabm(h,k)); \/ /
}	/* /\* codtab[h][k]=codtabm(h,k); \/ /
}	/* /\* } \/ /
}	/* /\* printf("\n"); \/ /
	/* } */
	/* for(k=1;k<=cptcoveff; k++){ /\* scans any effective covariate \/ /
	/* for(i=1; i <=pow(2,cptcoveff-k);i++){ /\* i=1 to 8/1=8; i=1 to 8/2=4; i=1 to 8/8=1 \/ /
	/* for(j=1; j <= ncodemax[k]; j++){ /\* For each modality of this covariate ncodemax=2\/ /
	/* for(cpt=1; cpt <=pow(2,k-1); cpt++){ /\* cpt=1 to 8/2*(3+1-1 or 3+1-3) =1 or 4 \/ */
	/* h++; */
	/* if (h>m) */
	/* h=1; */
	/* codtab[h][k]=j; */
	/* /\* codtab[12][3]=1; \/ /
	/* /\codtab[h][Tvar[k]]=j;\/ */
	/* /\* printf("h=%d k=%d j=%d codtab[h][k]=%d Tvar[k]=%d codtab[h][Tvar[k]]=%d \n",h, k,j,codtab[h][k],Tvar[k],codtab[h][Tvar[k]]); \/ /
	/* } */
	/* } */
	/* } */
	/* } */
/* printf("codtab[1][2]=%d codtab[2][2]=%d",codtab[1][2],codtab[2][2]);	/* printf("codtab[1][2]=%d codtab[2][2]=%d",codtab[1][2],codtab[2][2]);
codtab[1][2]=1;codtab[2][2]=2; */	codtab[1][2]=1;codtab[2][2]=2; */
/* for(i=1; i <=m ;i++){	/* for(i=1; i <=m ;i++){ */
for(k=1; k <=cptcovn; k++){	/* for(k=1; k <=cptcovn; k++){ */
printf("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff);	/* printf("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff); */
}	/* } */
printf("\n");	/* printf("\n"); */
}	/* } */
scanf("%d",i);*/	/* scanf("%d",i);*/

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



/------------ gnuplot -------------/	/* Initialisation of ----------- gnuplot -------------*/
strcpy(optionfilegnuplot,optionfilefiname);	strcpy(optionfilegnuplot,optionfilefiname);
if(mle==-3)	if(mle==-3)
strcat(optionfilegnuplot,"-mort");	strcat(optionfilegnuplot,"-MORT_");
strcat(optionfilegnuplot,".gp");	strcat(optionfilegnuplot,".gp");

if((ficgp=fopen(optionfilegnuplot,"w"))==NULL) {	if((ficgp=fopen(optionfilegnuplot,"w"))==NULL) {
Line 6145 run imach with mle=-1 to get a correct t	Line 7325 run imach with mle=-1 to get a correct t
fprintf(ficgp,"set datafile missing 'NaNq'\n");	fprintf(ficgp,"set datafile missing 'NaNq'\n");
}	}
/* fclose(ficgp);*/	/* fclose(ficgp);*/
/--------- index.htm --------/

	/* Initialisation of --------- index.htm --------*/

strcpy(optionfilehtm,optionfilefiname); /* Main html file */	strcpy(optionfilehtm,optionfilefiname); /* Main html file */
if(mle==-3)	if(mle==-3)
strcat(optionfilehtm,"-mort");	strcat(optionfilehtm,"-MORT_");
strcat(optionfilehtm,".htm");	strcat(optionfilehtm,".htm");
if((fichtm=fopen(optionfilehtm,"w"))==NULL) {	if((fichtm=fopen(optionfilehtm,"w"))==NULL) {
printf("Problem with %s \n",optionfilehtm);	printf("Problem with %s \n",optionfilehtm);
Line 6187 Title=%s <br>Datafile=%s Firstpass=%d La	Line 7369 Title=%s <br>Datafile=%s Firstpass=%d La

strcpy(pathr,path);	strcpy(pathr,path);
strcat(pathr,optionfilefiname);	strcat(pathr,optionfilefiname);
	#ifdef WIN32
	_chdir(optionfilefiname); /* Move to directory named optionfile */
	#else
chdir(optionfilefiname); /* Move to directory named optionfile */	chdir(optionfilefiname); /* Move to directory named optionfile */
	#endif


/* Calculates basic frequencies. Computes observed prevalence at single age	/* Calculates basic frequencies. Computes observed prevalence at single age
and prints on file fileres'p'. */	and prints on file fileres'p'. */
Line 6210 Interval (in months) between two waves:	Line 7397 Interval (in months) between two waves:
p=param[1][1]; /* (((param +1)+1)+0) /	p=param[1][1]; /* (((param +1)+1)+0) /

globpr=0; /* To get the number ipmx of contributions and the sum of weights*/	globpr=0; /* To get the number ipmx of contributions and the sum of weights*/
	/* For mortality only */
if (mle==-3){	if (mle==-3){
ximort=matrix(1,NDIM,1,NDIM);	ximort=matrix(1,NDIM,1,NDIM);
/* ximort=gsl_matrix_alloc(1,NDIM,1,NDIM); */	/* ximort=gsl_matrix_alloc(1,NDIM,1,NDIM); */
cens=ivector(1,n);	cens=ivector(1,n);
ageexmed=vector(1,n);	ageexmed=vector(1,n);
agecens=vector(1,n);	agecens=vector(1,n);
Line 6260 Interval (in months) between two waves:	Line 7447 Interval (in months) between two waves:
#else	#else
printf("Powell\n"); fprintf(ficlog,"Powell\n");	printf("Powell\n"); fprintf(ficlog,"Powell\n");
#endif	#endif
strcpy(filerespow,"pow-mort");	strcpy(filerespow,"POW-MORT_");
strcat(filerespow,fileres);	strcat(filerespow,fileresu);
if((ficrespow=fopen(filerespow,"w"))==NULL) {	if((ficrespow=fopen(filerespow,"w"))==NULL) {
printf("Problem with resultfile: %s\n", filerespow);	printf("Problem with resultfile: %s\n", filerespow);
fprintf(ficlog,"Problem with resultfile: %s\n", filerespow);	fprintf(ficlog,"Problem with resultfile: %s\n", filerespow);
Line 6303 Interval (in months) between two waves:	Line 7490 Interval (in months) between two waves:

/* Initialize method and iterate */	/* Initialize method and iterate */
/* p[1]=0.0268; p[NDIM]=0.083; */	/* p[1]=0.0268; p[NDIM]=0.083; */
/* gsl_vector_set(x, 0, 0.0268); */	/* gsl_vector_set(x, 0, 0.0268); */
/* gsl_vector_set(x, 1, 0.083); */	/* gsl_vector_set(x, 1, 0.083); */
gsl_vector_set(x, 0, p[1]);	gsl_vector_set(x, 0, p[1]);
gsl_vector_set(x, 1, p[2]);	gsl_vector_set(x, 1, p[2]);

Line 6357 Interval (in months) between two waves:	Line 7544 Interval (in months) between two waves:
#endif	#endif
fclose(ficrespow);	fclose(ficrespow);

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

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

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

printf("iter=%d MLE=%f Eq=%lfexp(%lf(age-%d))\n",iter,-gompertz(p),p[1],p[2],agegomp);	printf("iter=%d MLE=%f Eq=%lfexp(%lf(age-%d))\n",iter,-gompertz(p),p[1],p[2],agegomp);
for (i=1;i<=NDIM;i++)	for (i=1;i<=NDIM;i++) {
printf("%f [%f ; %f]\n",p[i],p[i]-2sqrt(matcov[i][i]),p[i]+2sqrt(matcov[i][i]));	printf("%f [%f ; %f]\n",p[i],p[i]-2sqrt(matcov[i][i]),p[i]+2sqrt(matcov[i][i]));
	fprintf(ficlog,"%f [%f ; %f]\n",p[i],p[i]-2sqrt(matcov[i][i]),p[i]+2sqrt(matcov[i][i]));
	}
lsurv=vector(1,AGESUP);	lsurv=vector(1,AGESUP);
lpop=vector(1,AGESUP);	lpop=vector(1,AGESUP);
tpop=vector(1,AGESUP);	tpop=vector(1,AGESUP);
Line 6406 Interval (in months) between two waves:	Line 7596 Interval (in months) between two waves:


replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */	replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */
printinggnuplotmort(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);	if(ageminpar == AGEOVERFLOW \|\|agemaxpar == AGEOVERFLOW){
	printf("Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\
printinghtmlmort(fileres,title,datafile, firstpass, lastpass, \	This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\
	Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar);
	fprintf(ficlog,"Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\
	This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\
	Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar);
	}else
	printinggnuplotmort(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);
	printinghtmlmort(fileresu,title,datafile, firstpass, lastpass, \
stepm, weightopt,\	stepm, weightopt,\
model,imx,p,matcov,agemortsup);	model,imx,p,matcov,agemortsup);

Line 6421 Interval (in months) between two waves:	Line 7618 Interval (in months) between two waves:
free_ivector(dcwave,1,n);	free_ivector(dcwave,1,n);
free_matrix(ximort,1,NDIM,1,NDIM);	free_matrix(ximort,1,NDIM,1,NDIM);
#endif	#endif
} /* Endof if mle==-3 */	} /* Endof if mle==-3 mortality only */
	/* Standard maximisation */
else{ /* For mle >=1 */	else{ /* For mle !=- 3 */
globpr=0;/* debug */	globpr=0;/* debug */
	/* Computes likelihood for initial parameters */
likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */	likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
printf("First Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);	printf("First Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);
for (k=1; k<=npar;k++)	for (k=1; k<=npar;k++)
printf(" %d %8.5f",k,p[k]);	printf(" %d %8.5f",k,p[k]);
printf("\n");	printf("\n");
globpr=1; /* to print the contributions */	globpr=1; /* again, to print the contributions */
likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */	likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
printf("Second Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);	printf("Second Likeli=%12.6f ipmx=%ld sw=%12.6f",fretone,ipmx,sw);
for (k=1; k<=npar;k++)	for (k=1; k<=npar;k++)
printf(" %d %8.5f",k,p[k]);	printf(" %d %8.5f",k,p[k]);
printf("\n");	printf("\n");
if(mle>=1){ /* Could be 1 or 2 */	if(mle>=1){ /* Could be 1 or 2, Real Maximisation */
mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);	mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);
}	}

/--------- results files --------------/	/--------- results files --------------/
fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model);	fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model);


fprintf(ficres,"# Parameters nlstatenlstatencov a121 + b12 age + ...\n");	fprintf(ficres,"# Parameters nlstatenlstatencov a121 + b12 age + ...\n");
Line 6454 Interval (in months) between two waves:	Line 7652 Interval (in months) between two waves:
fprintf(ficlog,"%d%d ",i,k);	fprintf(ficlog,"%d%d ",i,k);
fprintf(ficres,"%1d%1d ",i,k);	fprintf(ficres,"%1d%1d ",i,k);
for(j=1; j <=ncovmodel; j++){	for(j=1; j <=ncovmodel; j++){
printf("%lf ",p[jk]);	printf("%12.7f ",p[jk]);
fprintf(ficlog,"%lf ",p[jk]);	fprintf(ficlog,"%12.7f ",p[jk]);
fprintf(ficres,"%lf ",p[jk]);	fprintf(ficres,"%12.7f ",p[jk]);
jk++;	jk++;
}	}
printf("\n");	printf("\n");
Line 6465 Interval (in months) between two waves:	Line 7663 Interval (in months) between two waves:
}	}
}	}
}	}
if(mle!=0){	if(mle != 0){
/* Computing hessian and covariance matrix */	/* Computing hessian and covariance matrix only at a peak of the Likelihood, that is after optimization */
ftolhess=ftol; /* Usually correct */	ftolhess=ftol; /* Usually correct */
hesscov(matcov, p, npar, delti, ftolhess, func);	hesscov(matcov, hess, p, npar, delti, ftolhess, func);
}	printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n");
	fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n");
	for(i=1,jk=1; i <=nlstate; i++){
	for(k=1; k <=(nlstate+ndeath); k++){
	if (k != i) {
	printf("%d%d ",i,k);
	fprintf(ficlog,"%d%d ",i,k);
	for(j=1; j <=ncovmodel; j++){
	printf("%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96sqrt(matcov[jk][jk]),p[jk]+1.96sqrt(matcov[jk][jk]));
	fprintf(ficlog,"%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96sqrt(matcov[jk][jk]),p[jk]+1.96sqrt(matcov[jk][jk]));
	jk++;
	}
	printf("\n");
	fprintf(ficlog,"\n");
	}
	}
	}
	} /* end of hesscov and Wald tests */

	/* */
fprintf(ficres,"# Scales (for hessian or gradient estimation)\n");	fprintf(ficres,"# Scales (for hessian or gradient estimation)\n");
printf("# Scales (for hessian or gradient estimation)\n");	printf("# Scales (for hessian or gradient estimation)\n");
fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n");	fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n");
Line 6493 Interval (in months) between two waves:	Line 7710 Interval (in months) between two waves:
}	}

fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");	fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");
if(mle>=1)	if(mle >= 1) /* To big for the screen */
printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");	printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");
fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");	fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");
/* # 121 Var(a12)\n\ */	/* # 121 Var(a12)\n\ */
Line 6556 Interval (in months) between two waves:	Line 7773 Interval (in months) between two waves:
fprintf(ficres," Var(%s%1d%1d)",ca,i,j);	fprintf(ficres," Var(%s%1d%1d)",ca,i,j);
}else{	}else{
if(mle>=1)	if(mle>=1)
printf(" %.5e",matcov[jj][ll]);	printf(" %.7e",matcov[jj][ll]);
fprintf(ficlog," %.5e",matcov[jj][ll]);	fprintf(ficlog," %.7e",matcov[jj][ll]);
fprintf(ficres," %.5e",matcov[jj][ll]);	fprintf(ficres," %.7e",matcov[jj][ll]);
}	}
}	}
}	}
Line 6597 Interval (in months) between two waves:	Line 7814 Interval (in months) between two waves:
fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n");	fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n");
fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);	fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);
fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);	fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);

	/* Other stuffs, more or less useful */
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
Line 6625 Interval (in months) between two waves:	Line 7843 Interval (in months) between two waves:
dateprev2=anprev2+(mprev2-1)/12.+(jprev2-1)/365.;	dateprev2=anprev2+(mprev2-1)/12.+(jprev2-1)/365.;

fscanf(ficpar,"pop_based=%d\n",&popbased);	fscanf(ficpar,"pop_based=%d\n",&popbased);
	fprintf(ficlog,"pop_based=%d\n",popbased);
fprintf(ficparo,"pop_based=%d\n",popbased);	fprintf(ficparo,"pop_based=%d\n",popbased);
fprintf(ficres,"pop_based=%d\n",popbased);	fprintf(ficres,"pop_based=%d\n",popbased);

Line 6649 Interval (in months) between two waves:	Line 7868 Interval (in months) between two waves:
/* ,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);	if(ageminpar == AGEOVERFLOW \|\|agemaxpar == -AGEOVERFLOW){
	printf("Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\
	This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\
	Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar);
	fprintf(ficlog,"Warning! Error in gnuplot file with ageminpar %f or agemaxpar %f overflow\n\
	This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\
	Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar);
	}else
	printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);

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

Line 6670 Interval (in months) between two waves:	Line 7897 Interval (in months) between two waves:
fclose(ficres);	fclose(ficres);


	/* Other results (useful)*/


/--------------- Prevalence limit (period or stable prevalence) --------------/	/--------------- Prevalence limit (period or stable prevalence) --------------/
#include "prevlim.h" /* Use ficrespl, ficlog */	/#include "prevlim.h"/ /* Use ficrespl, ficlog */
	prlim=matrix(1,nlstate,1,nlstate);
	prevalence_limit(p, prlim, ageminpar, agemaxpar, ftolpl, ncvyear);
fclose(ficrespl);	fclose(ficrespl);

#ifdef FREEEXIT2	#ifdef FREEEXIT2
Line 6679 Interval (in months) between two waves:	Line 7911 Interval (in months) between two waves:
#endif	#endif

/------------- h Pij x at various ages ------------/	/------------- h Pij x at various ages ------------/
#include "hpijx.h"	/#include "hpijx.h"/
	hPijx(p, bage, fage);
fclose(ficrespij);	fclose(ficrespij);

/-------------- Variance of one-step probabilities---/	/-------------- Variance of one-step probabilities---/
Line 6697 Interval (in months) between two waves:	Line 7930 Interval (in months) between two waves:
/if((stepm == 1) && (strcmp(model,".")==0)){/	/if((stepm == 1) && (strcmp(model,".")==0)){/
if(prevfcast==1){	if(prevfcast==1){
/* if(stepm ==1){*/	/* if(stepm ==1){*/
prevforecast(fileres, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);	prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);
/* (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);*/	/* (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);*/
/* } */	/* } */
/* else{ */	/* else{ */
Line 6706 Interval (in months) between two waves:	Line 7939 Interval (in months) between two waves:
/* fprintf(ficlog,"Warning %d!! You can only forecast the prevalences if the optimization\n has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */	/* fprintf(ficlog,"Warning %d!! You can only forecast the prevalences if the optimization\n has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); */
/* } */	/* } */
}	}

	/* ------ Other prevalence ratios------------ */

/* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */	/* Computes prevalence between agemin (i.e minimal age computed) and no more ageminpar */

Line 6726 Interval (in months) between two waves:	Line 7960 Interval (in months) between two waves:

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

strcpy(filerese,"e");	strcpy(filerese,"E_");
strcat(filerese,fileres);	strcat(filerese,fileresu);
if((ficreseij=fopen(filerese,"w"))==NULL) {	if((ficreseij=fopen(filerese,"w"))==NULL) {
printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);	printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
fprintf(ficlog,"Problem with Health Exp. resultfile: %s\n", filerese); exit(0);	fprintf(ficlog,"Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
Line 6740 Interval (in months) between two waves:	Line 7974 Interval (in months) between two waves:
for (k=1; k <= (int) pow(2,cptcoveff); k++){	for (k=1; k <= (int) pow(2,cptcoveff); k++){
fprintf(ficreseij,"\n#****** ");	fprintf(ficreseij,"\n#****** ");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcoveff;j++) {
fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
}	}
fprintf(ficreseij,"******\n");	fprintf(ficreseij,"******\n");

Line 6757 Interval (in months) between two waves:	Line 7991 Interval (in months) between two waves:
/---------- Health expectancies and variances ------------/	/---------- Health expectancies and variances ------------/


strcpy(filerest,"t");	strcpy(filerest,"T_");
strcat(filerest,fileres);	strcat(filerest,fileresu);
if((ficrest=fopen(filerest,"w"))==NULL) {	if((ficrest=fopen(filerest,"w"))==NULL) {
printf("Problem with total LE resultfile: %s\n", filerest);goto end;	printf("Problem with total LE resultfile: %s\n", filerest);goto end;
fprintf(ficlog,"Problem with total LE resultfile: %s\n", filerest);goto end;	fprintf(ficlog,"Problem with total LE resultfile: %s\n", filerest);goto end;
Line 6767 Interval (in months) between two waves:	Line 8001 Interval (in months) between two waves:
fprintf(ficlog,"Computing Total Life expectancies with their standard errors: file '%s' \n", filerest);	fprintf(ficlog,"Computing Total Life expectancies with their standard errors: file '%s' \n", filerest);


strcpy(fileresstde,"stde");	strcpy(fileresstde,"STDE_");
strcat(fileresstde,fileres);	strcat(fileresstde,fileresu);
if((ficresstdeij=fopen(fileresstde,"w"))==NULL) {	if((ficresstdeij=fopen(fileresstde,"w"))==NULL) {
printf("Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);	printf("Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);
fprintf(ficlog,"Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);	fprintf(ficlog,"Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);
Line 6776 Interval (in months) between two waves:	Line 8010 Interval (in months) between two waves:
printf("Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);	printf("Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);
fprintf(ficlog,"Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);	fprintf(ficlog,"Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);

strcpy(filerescve,"cve");	strcpy(filerescve,"CVE_");
strcat(filerescve,fileres);	strcat(filerescve,fileresu);
if((ficrescveij=fopen(filerescve,"w"))==NULL) {	if((ficrescveij=fopen(filerescve,"w"))==NULL) {
printf("Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);	printf("Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);
fprintf(ficlog,"Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);	fprintf(ficlog,"Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);
Line 6785 Interval (in months) between two waves:	Line 8019 Interval (in months) between two waves:
printf("Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);	printf("Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);
fprintf(ficlog,"Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);	fprintf(ficlog,"Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);

strcpy(fileresv,"v");	strcpy(fileresv,"V_");
strcat(fileresv,fileres);	strcat(fileresv,fileresu);
if((ficresvij=fopen(fileresv,"w"))==NULL) {	if((ficresvij=fopen(fileresv,"w"))==NULL) {
printf("Problem with variance resultfile: %s\n", fileresv);exit(0);	printf("Problem with variance resultfile: %s\n", fileresv);exit(0);
fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0);	fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0);
Line 6800 Interval (in months) between two waves:	Line 8034 Interval (in months) between two waves:
for (k=1; k <= (int) pow(2,cptcoveff); k++){	for (k=1; k <= (int) pow(2,cptcoveff); k++){
fprintf(ficrest,"\n#****** ");	fprintf(ficrest,"\n#****** ");
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
fprintf(ficrest,"******\n");	fprintf(ficrest,"******\n");

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

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

eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);	eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
Line 6829 Interval (in months) between two waves:	Line 8063 Interval (in months) between two waves:


for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/	for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/
oldm=oldms;savm=savms; /* Segmentation fault */	oldm=oldms;savm=savms; /* ZZ Segmentation fault */
cptcod= 0; /* To be deleted */	cptcod= 0; /* To be deleted */
varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); /* cptcod not initialized Intel */	varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, ncvyear, k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); /* cptcod not initialized Intel */
fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# (weighted average of eij where weights are ");	fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# (weighted average of eij where weights are ");
if(vpopbased==1)	if(vpopbased==1)
fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);	fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);
else	else
fprintf(ficrest,"the age specific period (stable) prevalences in each health state \n");	fprintf(ficrest,"the age specific period (stable) prevalences in each health state \n");
fprintf(ficrest,"# Age e.. (std) ");	fprintf(ficrest,"# Age popbased mobilav e.. (std) ");
for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);	for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);
fprintf(ficrest,"\n");	fprintf(ficrest,"\n");
	/* printf("Which p?\n"); for(i=1;i<=npar;i++)printf("p[i=%d]=%lf,",i,p[i]);printf("\n"); */
epj=vector(1,nlstate+1);	epj=vector(1,nlstate+1);
for(age=bage; age <=fage ;age++){	for(age=bage; age <=fage ;age++){
prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);	prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyear, k); /ZZ Is it the correct prevalim /
if (vpopbased==1) {	if (vpopbased==1) {
if(mobilav ==0){	if(mobilav ==0){
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
Line 6854 Interval (in months) between two waves:	Line 8088 Interval (in months) between two waves:
}	}
}	}

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

for(i=1, vepp=0.;i <=nlstate;i++)	for(i=1, vepp=0.;i <=nlstate;i++)
for(j=1;j <=nlstate;j++)	for(j=1;j <=nlstate;j++)
Line 6893 Interval (in months) between two waves:	Line 8130 Interval (in months) between two waves:

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

strcpy(fileresvpl,"vpl");	strcpy(fileresvpl,"VPL_");
strcat(fileresvpl,fileres);	strcat(fileresvpl,fileresu);
if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {	if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {
printf("Problem with variance of period (stable) prevalence resultfile: %s\n", fileresvpl);	printf("Problem with variance of period (stable) prevalence resultfile: %s\n", fileresvpl);
exit(0);	exit(0);
Line 6907 Interval (in months) between two waves:	Line 8144 Interval (in months) between two waves:
for (k=1; k <= (int) pow(2,cptcoveff); k++){	for (k=1; k <= (int) pow(2,cptcoveff); k++){
fprintf(ficresvpl,"\n#****** ");	fprintf(ficresvpl,"\n#****** ");
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
fprintf(ficresvpl,"******\n");	fprintf(ficresvpl,"******\n");

varpl=matrix(1,nlstate,(int) bage, (int) fage);	varpl=matrix(1,nlstate,(int) bage, (int) fage);
oldm=oldms;savm=savms;	oldm=oldms;savm=savms;
varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k,strstart);	varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, ncvyear, k, strstart);
free_matrix(varpl,1,nlstate,(int) bage, (int)fage);	free_matrix(varpl,1,nlstate,(int) bage, (int)fage);
/}/	/}/
}	}
Line 6931 Interval (in months) between two waves:	Line 8168 Interval (in months) between two waves:
free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);	free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(covar,0,NCOVMAX,1,n);	free_matrix(covar,0,NCOVMAX,1,n);
free_matrix(matcov,1,npar,1,npar);	free_matrix(matcov,1,npar,1,npar);
	free_matrix(hess,1,npar,1,npar);
/free_vector(delti,1,npar);/	/free_vector(delti,1,npar);/
free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);	free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
free_matrix(agev,1,maxwav,1,imx);	free_matrix(agev,1,maxwav,1,imx);
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,NCOVMAX);	free_ivector(ncodemax,1,NCOVMAX);
	free_ivector(ncodemaxwundef,1,NCOVMAX);
free_ivector(Tvar,1,NCOVMAX);	free_ivector(Tvar,1,NCOVMAX);
free_ivector(Tprod,1,NCOVMAX);	free_ivector(Tprod,1,NCOVMAX);
free_ivector(Tvaraff,1,NCOVMAX);	free_ivector(Tvaraff,1,NCOVMAX);
free_ivector(Tage,1,NCOVMAX);	free_ivector(Tage,1,NCOVMAX);

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

Line 6981 Interval (in months) between two waves:	Line 8220 Interval (in months) between two waves:


printf("Before Current directory %s!\n",pathcd);	printf("Before Current directory %s!\n",pathcd);
	#ifdef WIN32
	if (_chdir(pathcd) != 0)
	printf("Can't move to directory %s!\n",path);
	if(_getcwd(pathcd,MAXLINE) > 0)
	#else
if(chdir(pathcd) != 0)	if(chdir(pathcd) != 0)
printf("Can't move to directory %s!\n",path);	printf("Can't move to directory %s!\n", path);
if(getcwd(pathcd,MAXLINE) > 0)	if (getcwd(pathcd, MAXLINE) > 0)
	#endif
printf("Current directory %s!\n",pathcd);	printf("Current directory %s!\n",pathcd);
/strcat(plotcmd,CHARSEPARATOR);/	/strcat(plotcmd,CHARSEPARATOR);/
sprintf(plotcmd,"gnuplot");	sprintf(plotcmd,"gnuplot");
Line 7038 Interval (in months) between two waves:	Line 8283 Interval (in months) between two waves:
}	}
end:	end:
while (z[0] != 'q') {	while (z[0] != 'q') {
printf("\nType q for exiting: ");	printf("\nType q for exiting: "); fflush(stdout);
scanf("%s",z);	scanf("%s",z);
}	}
}	}

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

Removed from v.1.171
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	Added in v.1.203