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Diff for /imach/src/imach.c between versions 1.144 and 1.200

version 1.144, 2014/02/10 22:17:31	version 1.200, 2015/09/09 16:53:55
Line 1	Line 1
/* $Id$	/* $Id$
$State$	$State$
$Log$	$Log$
Revision 1.144 2014/02/10 22:17:31 brouard	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
	Summary: Back from Visual C

	Still problem with utsname.h on Windows

	Revision 1.170 2014/12/23 11:17:12 brouard
	Summary: Cleaning some \%% back to %%

	The escape was mandatory for a specific compiler (which one?), but too many warnings.

	Revision 1.169 2014/12/22 23:08:31 brouard
	Summary: 0.98p

	Outputs some informations on compiler used, OS etc. Testing on different platforms.

	Revision 1.168 2014/12/22 15:17:42 brouard
	Summary: update

	Revision 1.167 2014/12/22 13:50:56 brouard
	Summary: Testing uname and compiler version and if compiled 32 or 64

	Testing on Linux 64

	Revision 1.166 2014/12/22 11:40:47 brouard
	* empty log message *

	Revision 1.165 2014/12/16 11:20:36 brouard
	Summary: After compiling on Visual C

	* imach.c (Module): Merging 1.61 to 1.162

	Revision 1.164 2014/12/16 10:52:11 brouard
	Summary: Merging with Visual C after suppressing some warnings for unused variables. Also fixing Saito's bug 0.98Xn

	* imach.c (Module): Merging 1.61 to 1.162

	Revision 1.163 2014/12/16 10:30:11 brouard
	* imach.c (Module): Merging 1.61 to 1.162

	Revision 1.162 2014/09/25 11:43:39 brouard
	Summary: temporary backup 0.99!

	Revision 1.1 2014/09/16 11:06:58 brouard
	Summary: With some code (wrong) for nlopt

	Author:

	Revision 1.161 2014/09/15 20:41:41 brouard
	Summary: Problem with macro SQR on Intel compiler

	Revision 1.160 2014/09/02 09:24:05 brouard
	* empty log message *

	Revision 1.159 2014/09/01 10:34:10 brouard
	Summary: WIN32
	Author: Brouard

	Revision 1.158 2014/08/27 17:11:51 brouard
	* empty log message *

	Revision 1.157 2014/08/27 16:26:55 brouard
	Summary: Preparing windows Visual studio version
	Author: Brouard

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

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

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

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

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

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

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

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

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

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

	Just a new packaging for OS/X version 0.98nS

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

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

	Merge, before building revised version.

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

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

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

Line 377	Line 608
begin-prev-date,...	begin-prev-date,...
open gnuplot file	open gnuplot file
open html file	open html file
period (stable) prevalence	period (stable) prevalence \| pl_nom 1-1 2-2 etc by covariate
for age prevalim()	for age prevalim() \| #**** V1=0 V2=1 V3=1 V4=0 ****
h Pij x	\| 65 1 0 2 1 3 1 4 0 0.96326 0.03674
variance of p varprob	freexexit2 possible for memory heap.

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

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

forecasting if prevfcast==1 prevforecast call prevalence()	forecasting if prevfcast==1 prevforecast call prevalence()
health expectancies	health expectancies
Variance-covariance of DFLE	Variance-covariance of DFLE
Line 393	Line 636
end	end
*/	*/

	/* #define DEBUG */
	/* #define DEBUGBRENT */
	#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>
#include <stdlib.h>	#include <stdlib.h>
#include <string.h>	#include <string.h>

	#ifdef _WIN32
	#include <io.h>
	#include <windows.h>
	#include <tchar.h>
	#else
#include <unistd.h>	#include <unistd.h>
	#endif

#include <limits.h>	#include <limits.h>
#include <sys/types.h>	#include <sys/types.h>

	#if defined(__GNUC__)
	#include <sys/utsname.h> /* Doesn't work on Windows */
	#endif

#include <sys/stat.h>	#include <sys/stat.h>
#include <errno.h>	#include <errno.h>
extern int errno;	/* extern int errno; */

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

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

#ifdef GSL	#ifdef GSL
#include <gsl/gsl_errno.h>	#include <gsl/gsl_errno.h>
#include <gsl/gsl_multimin.h>	#include <gsl/gsl_multimin.h>
#endif	#endif


	#ifdef NLOPT
	#include <nlopt.h>
	typedef struct {
	double (* function)(double [] );
	} myfunc_data ;
	#endif

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

Line 439 extern int errno;	Line 708 extern int errno;
#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))+1
#define MAXN 20000	#define MAXN 20000
#define YEARM 12. /*< Number of months per year /	#define YEARM 12. /*< Number of months per year /
#define AGESUP 130	#define AGESUP 130
#define AGEBASE 40	#define AGEBASE 40
#define AGEGOMP 10. /*< Minimal age for Gompertz adjustment /	#define AGEOVERFLOW 1.e20
#ifdef UNIX	#define AGEGOMP 10 /*< Minimal age for Gompertz adjustment /
#define DIRSEPARATOR '/'	#ifdef _WIN32
#define CHARSEPARATOR "/"
#define ODIRSEPARATOR '\\'
#else
#define DIRSEPARATOR '\\'	#define DIRSEPARATOR '\\'
#define CHARSEPARATOR "\\"	#define CHARSEPARATOR "\\"
#define ODIRSEPARATOR '/'	#define ODIRSEPARATOR '/'
	#else
	#define DIRSEPARATOR '/'
	#define CHARSEPARATOR "/"
	#define ODIRSEPARATOR '\\'
#endif	#endif

/* $Id$ */	/* $Id$ */
/* $State$ */	/* $State$ */
	#include "version.h"
char version[]="Imach version 0.98nR2, January 2014,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121)";	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 /
int cptcovn=0, cptcovage=0, cptcoveff=0,cptcov=0; /* Number of covariates, of covariates with 'age' /	/* Number of covariates model=V2+V1+ V3age+V2V4 */
	int cptcovn=0; /*< cptcovn number of covariates added in the model (excepting constant and age and ageproduct) */
	int cptcovt=0; /*< cptcovt number of covariates added in the model (excepting constant and age) /
	int cptcovs=0; /*< cptcovs number of simple covariates V2+V1 =2 /
	int cptcovage=0; /*< Number of covariates with age: V3age only =1 */
	int cptcovprodnoage=0; /*< Number of covariate products without age /
	int cptcoveff=0; /* Total number of covariates to vary for printing results */
	int cptcov=0; /* Working variable */
int npar=NPARMAX;	int npar=NPARMAX;
int nlstate=2; /* Number of live states */	int nlstate=2; /* Number of live states */
int ndeath=1; /* Number of dead states */	int ndeath=1; /* Number of dead states */
Line 481 int *mw; / mw[mi][i] is number of the	Line 760 int *mw; / mw[mi][i] is number of the
int *dh; / dh[mi][i] is number of steps between mi,mi+1 for this individual */	int *dh; / dh[mi][i] is number of steps between mi,mi+1 for this individual */
int *bh; / bh[mi][i] is the bias (+ or -) for this individual if the delay between	int *bh; / bh[mi][i] is the bias (+ or -) for this individual if the delay between
* wave mi and wave mi+1 is not an exact multiple of stepm. */	* wave mi and wave mi+1 is not an exact multiple of stepm. */
	int countcallfunc=0; /* Count the number of calls to func */
double jmean=1; /* Mean space between 2 waves */	double jmean=1; /* Mean space between 2 waves */
	double *matprod2(); / test */
double oldm, newm, *savm; / Working pointers to matrices */	double oldm, newm, *savm; / Working pointers to matrices */
double oldms, newms, *savms; / Fixed working pointers to matrices */	double oldms, newms, *savms; / Fixed working pointers to matrices */
/FILE fic ; / / Used in readdata only */	/FILE fic ; / / Used in readdata only */
Line 523 char popfile[FILENAMELENGTH];	Line 804 char popfile[FILENAMELENGTH];

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

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

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

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

char *endptr;	char *endptr;
Line 558 static double maxarg1,maxarg2;	Line 844 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 */
	#define mytinydouble 1.0e-16
	/* #define DEQUAL(a,b) (fabs((a)-(b))<mytinydouble) */
	/* http://www.thphys.uni-heidelberg.de/~robbers/cmbeasy/doc/html/mynrutils_8h-source.html */
	/* static double dsqrarg; */
	/* #define DSQR(a) (DEQUAL((dsqrarg=(a)),0.0) ? 0.0 : dsqrargdsqrarg) /
static double sqrarg;	static double sqrarg;
#define SQR(a) ((sqrarg=(a)) == 0.0 ? 0.0 :sqrarg*sqrarg)	#define SQR(a) ((sqrarg=(a)) == 0.0 ? 0.0 :sqrarg*sqrarg)
#define SWAP(a,b) {temp=(a);(a)=(b);(b)=temp;}	#define SWAP(a,b) {temp=(a);(a)=(b);(b)=temp;}
Line 573 int estepm;	Line 864 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 582 double dateintmean=0;	Line 879 double dateintmean=0;
double *weight;	double *weight;
int *s; / Status */	int *s; / Status */
double *agedc;	double *agedc;
double covar; /< covar[i,j], 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 codtab; /< codtab=imatrix(1,100,1,10); */	int *Tage;
	int Ndum; /* Freq of modality (tricode */
	/* 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 601 static int split( char path, char dirc	Line 900 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 612 static int split( char path, char dirc	Line 911 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 623 static int split( char path, char dirc	Line 926 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 675 char trimbb(char out, char *in)	Line 978 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)
	{
	/* cuts string in into blocc and alocc where blocc ends before FIRST occurence of char 'occ'
	and alocc starts after first occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')
	gives blocc="abcdef" and alocc="ghi2j".
	If occ is not found blocc is null and alocc is equal to in. Returns blocc
	*/
	char s, t;
	t=in;s=in;
	while ((in != occ) && (in != '\0')){
	alocc++ = in++;
	}
	if( *in == occ){
	*(alocc)='\0';
	s=++in;
	}

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

	*blocc='\0';
	return t;
	}
char cutv(char blocc, char alocc, char in, char occ)	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 738 int nbocc(char *s, char occ)	Line 1112 int nbocc(char *s, char occ)
/* } */	/* } */
/* } */	/* } */

	#ifdef _WIN32
	char * strsep(char *pp, const char delim)
	{
	char p, q;

	if ((p = *pp) == NULL)
	return 0;
	if ((q = strpbrk (p, delim)) != NULL)
	{
	*pp = q + 1;
	*q = '\0';
	}
	else
	*pp = 0;
	return p;
	}
	#endif

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

void nrerror(char error_text[])	void nrerror(char error_text[])
Line 845 double **matrix(long nrl, long nrh, long	Line 1237 double **matrix(long nrl, long nrh, long

for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;	for (i=nrl+1; i<=nrh; i++) m[i]=m[i-1]+ncol;
return m;	return m;
/* print ((m+1)+70) or print m[1][70]; print m+1 or print &(m[1])	/* print ((m+1)+70) or print m[1][70]; print m+1 or print &(m[1]) or &(m[1][0])
	m[i] = address of ith row of the table. &(m[i]) is its value which is another adress
	that of m[i][0]. In order to get the value p m[i][0] but it is unitialized.
*/	*/
}	}

Line 935 char subdirf3(char fileres[], char pre	Line 1329 char subdirf3(char fileres[], char pre
return tmpout;	return tmpout;
}	}

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

/*************** f1dim ***********************/	/*************** f1dim ***********************/
extern int ncom;	extern int ncom;
extern double pcom,xicom;	extern double pcom,xicom;
Line 955 double f1dim(double x)	Line 1362 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,fv,fw,fx;	double fu=0,fv,fw,fx;
double ftemp;	double ftemp=0.;
double p,q,r,tol1,tol2,u,v,w,x,xm;	double p,q,r,tol1,tol2,u,v,w,x,xm;
double e=0.0;	double e=0.0;

Line 973 double brent(double ax, double bx, doubl	Line 1386 double brent(double ax, double bx, doubl
/* if (2.0fabs(fp-(fret)) <= ftol(fabs(fp)+fabs(fret)))*/	/* if (2.0fabs(fp-(fret)) <= ftol(fabs(fp)+fabs(fret)))*/
printf(".");fflush(stdout);	printf(".");fflush(stdout);
fprintf(ficlog,".");fflush(ficlog);	fprintf(ficlog,".");fflush(ficlog);
#ifdef DEBUG	#ifdef DEBUGBRENT
printf("br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);	printf("br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);
fprintf(ficlog,"br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);	fprintf(ficlog,"br %d,x=%.10e xm=%.10e b=%.10e a=%.10e tol=%.10e tol1=%.10e tol2=%.10e x-xm=%.10e fx=%.12e fu=%.12e,fw=%.12e,ftemp=%.12e,ftol=%.12e\n",iter,x,xm,b,a,tol,tol1,tol2,(x-xm),fx,fu,fw,ftemp,ftol);
/* if ((fabs(x-xm) <= (tol2-0.5(b-a)))\|\|(2.0fabs(fu-ftemp) <= ftol1.e-2(fabs(fu)+fabs(ftemp)))) { */	/* if ((fabs(x-xm) <= (tol2-0.5(b-a)))\|\|(2.0fabs(fu-ftemp) <= ftol1.e-2(fabs(fu)+fabs(ftemp)))) { */
Line 1008 double brent(double ax, double bx, doubl	Line 1421 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 1031 double brent(double ax, double bx, doubl	Line 1444 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) {	#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)/
(2.0*SIGN(FMAX(fabs(q-r),TINY),q-r));	(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);	ulim=(bx)+GLIMIT(cx-bx); /* Maximum abscissa where function should be evaluated */
if ((bx-u)(u-*cx) > 0.0) {	if ((bx-u)(u-cx) > 0.0) { / if u_p is between b and c */
fu=(*func)(u);	fu=(*func)(u);
} else if ((cx-u)(u-ulim) > 0.0) {	#ifdef DEBUG
	/* f(x)=A(x-u)*2+f(u) /
	double A, fparabu;
	A= (fb - fa)/(bx-ax)/(bx+ax-2*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);
	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
	#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 */
	#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) {	} 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 **********************/
	/* Given an n -dimensional point p[1..n] and an n -dimensional direction xi[1..n] , moves and
	resets p to where the function func(p) takes on a minimum along the direction xi from p ,
	and replaces xi by the actual vector displacement that p was moved. Also returns as fret
	the value of func at the returned location p . This is actually all accomplished by calling the
	routines mnbrak and brent .*/
int ncom;	int ncom;
double pcom,xicom;	double pcom,xicom;
double (*nrfunc)(double []);	double (*nrfunc)(double []);
Line 1085 void linmin(double p[], double xi[], int	Line 1591 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;

	double scale=10., axs, xxs, xxss; /* Scale added for infinity */

ncom=n;	ncom=n;
pcom=vector(1,n);	pcom=vector(1,n);
Line 1094 void linmin(double p[], double xi[], int	Line 1602 void linmin(double p[], double xi[], int
pcom[j]=p[j];	pcom[j]=p[j];
xicom[j]=xi[j];	xicom[j]=xi[j];
}	}
ax=0.0;
xx=1.0;	/* axs=0.0; */
mnbrak(&ax,&xx,&bx,&fa,&fx,&fb,f1dim);	/* xxss=1; /\* 1 and using scale \/ /
*fret=brent(ax,xx,bx,f1dim,TOL,&xmin);	xxs=1;
	/* do{ */
	ax=0.;
	xx= xxs;
	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]]/
	/* if (fx != fx){ */
	/* xxs=xxs/scale; /\* Trying a smaller xx, closer to initial ax=0 \/ /
	/* 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); */
	/* } */
	/* }while(fx != fx); */

	#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);
	#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 ");
	#endif
for (j=1;j<=n;j++) {	for (j=1;j<=n;j++) {
xi[j] *= xmin;	/* printf(" before xi[%d]=%12.8f", j,xi[j]); */
p[j] += xi[j];	xi[j] = xmin; / xi rescaled by xmin: if xmin=-1.237 and xi=(1,0,...,0) xi=(-1.237,0,...,0) */
	/* 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 ); */
	p[j] += xi[j]; /* Parameters values are updated accordingly */
}	}
	/* printf("\n"); */
	#ifdef DEBUGLINMIN
	printf("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]= %12.7f p[%d]= %12.7f",j,xi[j],j,p[j]);
	if(j % ncovmodel == 0)
	printf("\n");
	}
	#endif
free_vector(xicom,1,n);	free_vector(xicom,1,n);
free_vector(pcom,1,n);	free_vector(pcom,1,n);
}	}

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

/************* powell **********************/	/************* powell **********************/
	/*
	Minimization of a function func of n variables. Input consists of an initial starting point
	p[1..n] ; an initial matrix xi[1..n][1..n] , whose columns contain the initial set of di-
	rections (usually the n unit vectors); and ftol , the fractional tolerance in the function value
	such that failure to decrease by more than this amount on one iteration signals doneness. On
	output, p is set to the best point found, xi is the then-current direction set, fret is the returned
	function value at p , and iter is the number of iterations taken. The routine linmin is used.
	*/
void powell(double p[], double *xi, int n, double ftol, int iter, double *fret,	void powell(double p[], double *xi, int n, double ftol, int iter, double *fret,
double (*func)(double []))	double (*func)(double []))
{	{
Line 1131 void powell(double p[], double **xi, int	Line 1674 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 1141 void powell(double p[], double **xi, int	Line 1685 void powell(double p[], double **xi, int
xits=vector(1,n);	xits=vector(1,n);
fret=(func)(p);	fret=(func)(p);
for (j=1;j<=n;j++) pt[j]=p[j];	for (j=1;j<=n;j++) pt[j]=p[j];
	rcurr_time = time(NULL);
for (iter=1;;++(iter)) {	for (iter=1;;++(iter)) {
fp=(*fret);	fp=(fret); / From former iteration or initial value */
ibig=0;	ibig=0;
del=0.0;	del=0.0;
last_time=curr_time;	rlast_time=rcurr_time;
(void) gettimeofday(&curr_time,&tzp);	/* (void) gettimeofday(&curr_time,&tzp); */
printf("\nPowell iter=%d -2LL=%.12f %ld sec. %ld sec.",iter,*fret, curr_time.tv_sec-last_time.tv_sec, curr_time.tv_sec-start_time.tv_sec);fflush(stdout);	rcurr_time = time(NULL);
fprintf(ficlog,"\nPowell iter=%d -2LL=%.12f %ld sec. %ld sec.",iter,*fret, curr_time.tv_sec-last_time.tv_sec, curr_time.tv_sec-start_time.tv_sec); fflush(ficlog);	curr_time = *localtime(&rcurr_time);
/* fprintf(ficrespow,"%d %.12f %ld",iter,fret,curr_time.tv_sec-start_time.tv_sec); */	printf("\nPowell iter=%d -2LL=%.12f %ld sec. %ld sec.",iter,*fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout);
for (i=1;i<=n;i++) {	fprintf(ficlog,"\nPowell iter=%d -2LL=%.12f %ld sec. %ld sec.",iter,*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog);
	/* fprintf(ficrespow,"%d %.12f %ld",iter,fret,curr_time.tm_sec-start_time.tm_sec); */
	for (i=1;i<=n;i++) {
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 1159 void powell(double p[], double **xi, int	Line 1706 void powell(double p[], double **xi, int
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
fprintf(ficrespow,"\n");fflush(ficrespow);	fprintf(ficrespow,"\n");fflush(ficrespow);
if(*iter <=3){	if(*iter <=3){
tm = *localtime(&curr_time.tv_sec);	tml = *localtime(&rcurr_time);
strcpy(strcurr,asctime(&tm));	strcpy(strcurr,asctime(&tml));
/* asctime_r(&tm,strcurr); */	rforecast_time=rcurr_time;
forecast_time=curr_time;
itmp = strlen(strcurr);	itmp = strlen(strcurr);
if(strcurr[itmp-1]=='\n') /* Windows outputs with a new line */	if(strcurr[itmp-1]=='\n') /* Windows outputs with a new line */
strcurr[itmp-1]='\0';	strcurr[itmp-1]='\0';
printf("\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,curr_time.tv_sec-last_time.tv_sec);	printf("\nConsidering the time needed for the last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time);
fprintf(ficlog,"\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,curr_time.tv_sec-last_time.tv_sec);	fprintf(ficlog,"\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time);
for(niterf=10;niterf<=30;niterf+=10){	for(niterf=10;niterf<=30;niterf+=10){
forecast_time.tv_sec=curr_time.tv_sec+(niterf-iter)(curr_time.tv_sec-last_time.tv_sec);	rforecast_time=rcurr_time+(niterf-iter)(rcurr_time-rlast_time);
tmf = *localtime(&forecast_time.tv_sec);	forecast_time = *localtime(&rforecast_time);
/* asctime_r(&tmf,strfor); */	strcpy(strfor,asctime(&forecast_time));
strcpy(strfor,asctime(&tmf));
itmp = strlen(strfor);	itmp = strlen(strfor);
if(strfor[itmp-1]=='\n')	if(strfor[itmp-1]=='\n')
strfor[itmp-1]='\0';	strfor[itmp-1]='\0';
printf(" - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);	printf(" - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr);
fprintf(ficlog," - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(forecast_time.tv_sec-curr_time.tv_sec,tmpout),strfor,strcurr);	fprintf(ficlog," - if your program needs %d iterations to converge, convergence will be \n reached in %s i.e.\n on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr);
}	}
}	}
for (i=1;i<=n;i++) {	for (i=1;i<=n;i++) { /* 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 \n",*fret);	printf("fret=%lf, %lf, %lf \n", fret, fret, *fret);
fprintf(ficlog,"fret=%lf \n",*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 1203 void powell(double p[], double **xi, int	Line 1753 void powell(double p[], double **xi, int
fprintf(ficlog," x(%d)=%.12e",j,xit[j]);	fprintf(ficlog," x(%d)=%.12e",j,xit[j]);
}	}
for(j=1;j<=n;j++) {	for(j=1;j<=n;j++) {
printf(" p=%.12e",p[j]);	printf(" p(%d)=%.12e",j,p[j]);
fprintf(ficlog," p=%.12e",p[j]);	fprintf(ficlog," p(%d)=%.12e",j,p[j]);
}	}
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
#endif	#endif
}	} /* 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 1240 void powell(double p[], double **xi, int	Line 1805 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++) {	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 */
if (fptt < fp) {	#ifdef POWELLF1F3
t=2.0(fp-2.0(fret)+fptt)SQR(fp-(fret)-del)-delSQR(fp-fptt);	#else
if (t < 0.0) {	if (fptt < fp) { /* If extrapolated point is better, decide if we keep that new direction or not */
linmin(p,xit,n,fret,func);	#endif
	/* (x1 f1=fp), (x2 f2=fret), (x3 f3=fptt), (xm fm) /
	/* From x1 (P0) distance of x2 is at h and x3 is 2h */
	/* Let f"(x2) be the 2nd derivative equal everywhere. */
	/* 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 /
	/* Conditional for using this new direction is that mu^2 = (f1-2f2+f3)^2 /2 < del */
	/* 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)- 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);
	#endif
	directest = fp-2.0(fret)+fptt - 2.0 * del; /* If del was big enough we change it for a new direction */
	#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),
	(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),
	(fp-(fret)-del)(fp-(fret)-del),(fp-fptt)(fp-fptt));
	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);
	#endif
	#ifdef POWELLORIGINAL
	if (t < 0.0) { /* Then we use it for new direction */
	#else
	if (directestt < 0.0) { / Contradiction between both tests */
	printf("directest= %.12lf, t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt,del);
	printf("f1-2f2+f3= %.12lf, f1-f2-del= %.12lf, f1-f3= %.12lf\n",fp-2.0(fret)+fptt, fp -(*fret) -del, fp-fptt);
	fprintf(ficlog,"directest= %.12lf, t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt, del);
	fprintf(ficlog,"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++) {
	printf("Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
	if(j % ncovmodel == 0)
	printf("\n");
	}
	#endif
	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]);
	if(j % ncovmodel == 0)
	printf("\n");
	}
	#endif
for (j=1;j<=n;j++) {	for (j=1;j<=n;j++) {
xi[j][ibig]=xi[j][n];	xi[j][ibig]=xi[j][n]; /* Replace direction with biggest decrease by last direction n */
xi[j][n]=xit[j];	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);
fprintf(ficlog,"Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);	fprintf(ficlog,"Direction changed last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
Line 1266 void powell(double p[], double **xi, int	Line 1885 void powell(double p[], double **xi, int
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
#endif	#endif
}	} /* end of t or directest negative */
}	#ifdef POWELLF1F3
}	#else
	} /* end if (fptt < fp) */
	#endif
	} /* loop iteration */
}	}

/** Prevalence limit (stable or period prevalence) **************/	/** Prevalence limit (stable or period prevalence) **************/
Line 1277 double prevalim(double prlim, int nl	Line 1899 double prevalim(double prlim, int nl
{	{
/* 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 */

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

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++){
oldm[ii][j]=(ii==j ? 1.0 : 0.0);	oldm[ii][j]=(ii==j ? 1.0 : 0.0);
}	}

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 */
for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){	for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){
newm=savm;	newm=savm;
/* Covariates have to be included here again */	/* Covariates have to be included here again */
cov[2]=agefin;	cov[2]=agefin;
	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("ij=%d k=%d Tvar[k]=%d nbcode=%d cov=%lf codtab[ij][Tvar[k]]=%d \n",ij,k, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k], codtab[ij][Tvar[k]]);*/	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++)	/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]);/
/printf("ij=%d cov[3]=%lf \n",ij, cov[3]);/	/printf("ij=%d cov[3]=%lf \n",ij, cov[3]);/
	/* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */
	/* out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /\* Bug Valgrind \/ /
out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* Bug Valgrind */	out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* Bug Valgrind */

savm=oldm;	savm=oldm;
Line 1321 double prevalim(double prlim, int nl	Line 1950 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]);
}	}
maxmin=max-min;	maxmin=max-min;
maxmax=FMAX(maxmax,maxmin);	maxmax=FMAX(maxmax,maxmin);
}	} /* j loop */
if(maxmax < ftolpl){	if(maxmax < ftolpl){
return prlim;	return prlim;
}	}
}	} /* age loop */
	return prlim; /* should not reach here */
}	}

/************* transition probabilities *************/	/************* transition probabilities *************/
Line 1352 double pmij(double ps, double *cov,	Line 1983 double pmij(double ps, double *cov,
*/	*/
double s1, lnpijopii;	double s1, lnpijopii;
/double t34;/	/double t34;/
int i,j,j1, nc, ii, jj;	int i,j, nc, ii, jj;

for(i=1; i<= nlstate; i++){	for(i=1; i<= nlstate; i++){
for(j=1; j<i;j++){	for(j=1; j<i;j++){
Line 1401 double pmij(double ps, double *cov,	Line 2032 double pmij(double ps, double *cov,
}	}
}	}


/* for(ii=1; ii<= nlstate+ndeath; ii++){ */	/* for(ii=1; ii<= nlstate+ndeath; ii++){ */
/* for(jj=1; jj<= nlstate+ndeath; jj++){ */	/* for(jj=1; jj<= nlstate+ndeath; jj++){ */
/* printf("ddd %lf ",ps[ii][jj]); */	/* printf(" pmij ps[%d][%d]=%lf ",ii,jj,ps[ii][jj]); */
/* } */	/* } */
/* printf("\n "); */	/* printf("\n "); */
/* } */	/* } */
/* printf("\n ");printf("%lf ",cov[2]); */	/* printf("\n ");printf("%lf ",cov[2]);*/
/*	/*
for(i=1; i<= npar; i++) printf("%f ",x[i]);	for(i=1; i<= npar; i++) printf("%f ",x[i]);
goto end;*/	goto end;*/
return ps;	return ps;
Line 1417 double pmij(double ps, double *cov,	Line 2048 double pmij(double ps, double *cov,

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

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

Line 1453 double *hpxij(double *po, int nhstep	Line 2085 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 1466 double *hpxij(double *po, int nhstep	Line 2099 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 */
for (k=1; k<=cptcovprod;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]]];	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 */
	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 1493 double *hpxij(double *po, int nhstep	Line 2133 double *hpxij(double *po, int nhstep
return po;	return po;
}	}

	#ifdef NLOPT
	double myfunc(unsigned n, const double p1, double grad, void *pd){
	double fret;
	double *xt;
	int j;
	myfunc_data d2 = (myfunc_data ) pd;
	/* xt = (p1-1); */
	xt=vector(1,n);
	for (j=1;j<=n;j++) xt[j]=p1[j-1]; /* xt[1]=p1[0] */

	fret=(d2->function)(xt); /* p xt[1]@8 is fine */
	/* fret=(func)(xt); /\ p xt[1]@8 is fine \/ /
	printf("Function = %.12lf ",fret);
	for (j=1;j<=n;j++) printf(" %d %.8lf", j, xt[j]);
	printf("\n");
	free_vector(xt,1,n);
	return fret;
	}
	#endif

/************* log-likelihood ***********/	/************* log-likelihood ***********/
double func( double *x)	double func( double *x)
Line 1505 double func( double *x)	Line 2164 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]);*/
/*for(i=1;i<imx;i++)	/*for(i=1;i<imx;i++)
printf(" %d\n",s[4][i]);	printf(" %d\n",s[4][i]);
*/	*/

	++countcallfunc;

cov[1]=1.;	cov[1]=1.;

for(k=1; k<=nlstate; k++) ll[k]=0.;	for(k=1; k<=nlstate; k++) ll[k]=0.;
Line 1522 double func( double *x)	Line 2185 double func( double *x)
Then computes with function pmij which return a matrix p[i][j] giving the elementary probability	Then computes with function pmij which return a matrix p[i][j] giving the elementary probability
to be observed in j being in i according to the model.	to be observed in j being in i according to the model.
*/	*/
for (k=1; k<=cptcovn;k++) cov[2+k]=covar[Tvar[k]][i];	for (k=1; k<=cptcovn;k++){ /* Simple and product covariates without age* products */
	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]
has been calculated etc */	has been calculated etc */
Line 1534 double func( double *x)	Line 2199 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 1588 double func( double *x)	Line 2256 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 1620 double func( double *x)	Line 2307 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 1633 double func( double *x)	Line 2324 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 1654 double func( double *x)	Line 2348 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 1663 double func( double *x)	Line 2357 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 1684 double func( double *x)	Line 2381 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 1693 double func( double *x)	Line 2390 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 1719 double func( double *x)	Line 2419 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 1728 double func( double *x)	Line 2428 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 1766 double funcone( double *x)	Line 2469 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 1777 double funcone( double *x)	Line 2481 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 1786 double funcone( double *x)	Line 2490 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); */
out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,	out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));	1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
	/* out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, */
	/* 1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); */
savm=oldm;	savm=oldm;
oldm=newm;	oldm=newm;
} /* end mult */	} /* end mult */
Line 1887 void likelione(FILE *ficres,double p[],	Line 2598 void likelione(FILE *ficres,double p[],

void mlikeli(FILE ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (func)(double []))	void mlikeli(FILE ficres,double p[], int npar, int ncovmodel, int nlstate, double ftol, double (func)(double []))
{	{
int i,j, iter;	int i,j, iter=0;
double **xi;	double **xi;
double fret;	double fret;
double fretone; /* Only one call to likelihood */	double fretone; /* Only one call to likelihood */
/* char filerespow[FILENAMELENGTH];*/	/* char filerespow[FILENAMELENGTH];*/

	#ifdef NLOPT
	int creturn;
	nlopt_opt opt;
	/* double lb[9] = { -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL, -HUGE_VAL }; /\* lower bounds \/ /
	double *lb;
	double minf; /* the minimum objective value, upon return */
	double * p1; /* Shifted parameters from 0 instead of 1 */
	myfunc_data dinst, *d = &dinst;
	#endif


xi=matrix(1,npar,1,npar);	xi=matrix(1,npar,1,npar);
for (i=1;i<=npar;i++)	for (i=1;i<=npar;i++)
for (j=1;j<=npar;j++)	for (j=1;j<=npar;j++)
Line 1908 void mlikeli(FILE *ficres,double p[], in	Line 2631 void mlikeli(FILE *ficres,double p[], in
for(j=1;j<=nlstate+ndeath;j++)	for(j=1;j<=nlstate+ndeath;j++)
if(j!=i)fprintf(ficrespow," p%1d%1d",i,j);	if(j!=i)fprintf(ficrespow," p%1d%1d",i,j);
fprintf(ficrespow,"\n");	fprintf(ficrespow,"\n");
	#ifdef POWELL
powell(p,xi,npar,ftol,&iter,&fret,func);	powell(p,xi,npar,ftol,&iter,&fret,func);
	#endif

	#ifdef NLOPT
	#ifdef NEWUOA
	opt = nlopt_create(NLOPT_LN_NEWUOA,npar);
	#else
	opt = nlopt_create(NLOPT_LN_BOBYQA,npar);
	#endif
	lb=vector(0,npar-1);
	for (i=0;i<npar;i++) lb[i]= -HUGE_VAL;
	nlopt_set_lower_bounds(opt, lb);
	nlopt_set_initial_step1(opt, 0.1);

	p1= (p+1); /* p (p+1)@8 and p (p1)@8 are equal p1[0]=p[1] */
	d->function = func;
	printf(" Func %.12lf \n",myfunc(npar,p1,NULL,d));
	nlopt_set_min_objective(opt, myfunc, d);
	nlopt_set_xtol_rel(opt, ftol);
	if ((creturn=nlopt_optimize(opt, p1, &minf)) < 0) {
	printf("nlopt failed! %d\n",creturn);
	}
	else {
	printf("found minimum after %d evaluations (NLOPT=%d)\n", countcallfunc ,NLOPT);
	printf("found minimum at f(%g,%g) = %0.10g\n", p[0], p[1], minf);
	iter=1; /* not equal */
	}
	nlopt_destroy(opt);
	#endif
free_matrix(xi,1,npar,1,npar);	free_matrix(xi,1,npar,1,npar);
fclose(ficrespow);	fclose(ficrespow);
printf("\n#Number of iterations = %d, -2 Log likelihood = %.12f\n",iter,func(p));	printf("#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));
fprintf(ficlog,"\n#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));	fprintf(ficlog,"#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));
fprintf(ficres,"#Number of iterations = %d, -2 Log likelihood = %.12f \n",iter,func(p));	fprintf(ficres,"#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));

}	}

Line 1924 void hesscov(double **matcov, double p[]	Line 2674 void hesscov(double **matcov, double p[]
{	{
double a,y,*x,pd;	double a,y,*x,pd;
double **hess;	double **hess;
int i, j,jk;	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);
Line 2037 double hessii(double x[], double delta,	Line 2787 double hessii(double x[], double delta,

fx=func(x);	fx=func(x);
for (i=1;i<=npar;i++) p2[i]=x[i];	for (i=1;i<=npar;i++) p2[i]=x[i];
for(l=0 ; l <=lmax; l++){	for(l=0 ; l <=lmax; l++){ /* Enlarging the zone around the Maximum */
l1=pow(10,l);	l1=pow(10,l);
delts=delt;	delts=delt;
for(k=1 ; k <kmax; k=k+1){	for(k=1 ; k <kmax; k=k+1){
delt = delta(l1k);	delt = delta(l1k);
p2[theta]=x[theta] +delt;	p2[theta]=x[theta] +delt;
k1=func(p2)-fx;	k1=func(p2)-fx; /* Might be negative if too close to the theoretical maximum */
p2[theta]=x[theta]-delt;	p2[theta]=x[theta]-delt;
k2=func(p2)-fx;	k2=func(p2)-fx;
/res= (k1-2.0fx+k2)/delt/delt; */	/res= (k1-2.0fx+k2)/delt/delt; */
Line 2058 double hessii(double x[], double delta,	Line 2808 double hessii(double x[], double delta,
k=kmax;	k=kmax;
}	}
else if((k1 >khi/nkhif) \|\| (k2 >khi/nkhif)){ /* Keeps lastvalue before 3.84/2 KHI2 5% 1d.f. */	else if((k1 >khi/nkhif) \|\| (k2 >khi/nkhif)){ /* Keeps lastvalue before 3.84/2 KHI2 5% 1d.f. */
k=kmax; l=lmax*10.;	k=kmax; l=lmax*10;
}	}
else if((k1 >khi/nkhi) \|\| (k2 >khi/nkhi)){	else if((k1 >khi/nkhi) \|\| (k2 >khi/nkhi)){
delts=delt;	delts=delt;
Line 2073 double hessii(double x[], double delta,	Line 2823 double hessii(double x[], double delta,
double hessij( double x[], double delti[], int thetai,int thetaj,double (*func)(double []),int npar)	double hessij( double x[], double delti[], int thetai,int thetaj,double (*func)(double []),int npar)
{	{
int i;	int i;
int l=1, l1, 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;
Line 2181 void lubksb(double *a, int n, int indx	Line 2931 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 ******************/
void freqsummary(char fileres[], int iagemin, int iagemax, int s, double agev, int nlstate, int imx, int Tvaraff, int nbcode, int ncodemax,double mint,double anint, char strstart[])	void freqsummary(char fileres[], int iagemin, int iagemax, int s, double agev, int nlstate, int imx, int Tvaraff, int nbcode, int ncodemax,double mint,double anint, char strstart[])
{ /* Some frequencies */	{ /* Some frequencies */

int i, m, jk, k1,i1, j1, bool, z1,j;	int i, m, jk, j1, bool, z1,j;
int first;	int first;
double **freq; / Frequencies */	double **freq; / Frequencies */
double pp, *prop;	double pp, *prop;
Line 2212 void freqsummary(char fileres[], int ia	Line 2962 void freqsummary(char fileres[], int ia

first=1;	first=1;

for(k1=1; k1<=j ; k1++){ /* Loop on covariates */	/* for(k1=1; k1<=j ; k1++){ / / Loop on covariates */
for(i1=1; i1<=ncodemax[k1];i1++){ /* Now it is 2 */	/* for(i1=1; i1<=ncodemax[k1];i1++){ / / Now it is 2 */
j1++;	/* j1++; */
	for (j1 = 1; j1 <= (int) pow(2,cptcoveff); j1++){
/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);	/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);
scanf("%d", i);*/	scanf("%d", i);*/
for (i=-5; i<=nlstate+ndeath; i++)	for (i=-5; i<=nlstate+ndeath; i++)
Line 2232 void freqsummary(char fileres[], int ia	Line 2983 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 */
bool=0;	bool=0;
printf("bool=%d i=%d, z1=%d, i1=%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, i1, 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 2260 void freqsummary(char fileres[], int ia	Line 3012 void freqsummary(char fileres[], int ia
/}/	/}/
}	}
}	}
}	} /* end i */

/* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/	/* fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
pstamp(ficresp);	pstamp(ficresp);
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 2347 void freqsummary(char fileres[], int ia	Line 3099 void freqsummary(char fileres[], int ia
printf("Others in log...\n");	printf("Others in log...\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
}	}
}	/}/
}	}
dateintmean=dateintsum/k2cpt;	dateintmean=dateintsum/k2cpt;

Line 2366 void prevalence(double ***probs, double	Line 3118 void prevalence(double ***probs, double
We still use firstpass and lastpass as another selection.	We still use firstpass and lastpass as another selection.
*/	*/

int i, m, jk, k1, i1, j1, bool, z1,j;	int i, m, jk, j1, bool, z1,j;
double **freq; / Frequencies */
double pp, *prop;	double **prop;
double pos,posprop;	double posprop;
double y2; /* in fractional years */	double y2; /* in fractional years */
int iagemin, iagemax;	int iagemin, iagemax;
	int first; /** to stop verbosity which is redirected to log file */

iagemin= (int) agemin;	iagemin= (int) agemin;
iagemax= (int) agemax;	iagemax= (int) agemax;
Line 2380 void prevalence(double ***probs, double	Line 3133 void prevalence(double ***probs, double
/* freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/	/* freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/
j1=0;	j1=0;

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

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

for (i=1; i<=nlstate; i++)	for (i=1; i<=nlstate; i++)
for(m=iagemin; m <= iagemax+3; m++)	for(m=iagemin; m <= iagemax+3; m++)
Line 2395 void prevalence(double ***probs, double	Line 3149 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 2415 void prevalence(double ***probs, double	Line 3169 void prevalence(double ***probs, double
}	}
}	}
for(i=iagemin; i <= iagemax+3; i++){	for(i=iagemin; i <= iagemax+3; i++){

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

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

/* free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/	/* free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/
/free_vector(pp,1,nlstate);/	/free_vector(pp,1,nlstate);/
Line 2455 void concatwav(int wav[], int **dh, int	Line 3212 void concatwav(int wav[], int **dh, int
int j, k=0,jk, ju, jl;	int j, k=0,jk, ju, jl;
double sum=0.;	double sum=0.;
first=0;	first=0;
jmin=1e+5;	jmin=100000;
jmax=-1;	jmax=-1;
jmean=0.;	jmean=0.;
for(i=1; i<=imx; i++){	for(i=1; i<=imx; i++){
Line 2580 void concatwav(int wav[], int **dh, int	Line 3337 void concatwav(int wav[], int **dh, int
}	}

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

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


cptcoveff=0;	cptcoveff=0;

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

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

/* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */	/* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */
ij=1;	/* For covariate j, modalities could be 1, 2, 3, 4, 5, 6, 7.
for (i=1; i<=ncodemax[j]; i++) { /* i= 1 to 2 for dichotomous */	If Ndum[1]=0, Ndum[2]=0, Ndum[3]= 635, Ndum[4]=0, Ndum[5]=0, Ndum[6]=27, Ndum[7]=125;
for (k=0; k<= modmaxcovj; k++) { /* k=-1 ? NCOVMAX// maxncov or modmaxcovj */	modmincovj=3; modmaxcovj = 7;
if (Ndum[k] != 0) { /* If at least one individual responded to this modality k */	There are only 3 modalities non empty 3, 6, 7 (or 2 if 27 is too few) : ncodemax[j]=3;
nbcode[Tvar[j]][ij]=k; /* stores the modality in an array nbcode.	which will be coded 0, 1, 2 which in binary on 2=3-1 digits are 0=00 1=01, 2=10;
k is a modality. If we have model=V1+V1*sex	defining two dummy variables: variables V1_1 and V1_2.
then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */	nbcode[Tvar[j]][ij]=k;
ij++;	nbcode[Tvar[j]][1]=0;
}	nbcode[Tvar[j]][2]=1;
if (ij > ncodemax[j]) break;	nbcode[Tvar[j]][3]=2;
} /* end of loop on */	To be continued (not working yet).
} /* end of loop on modality */	*/
	ij=0; /* ij is similar to i but can jump over null modalities */
	for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/
	if (Ndum[i] == 0) { /* If nobody responded to this modality k */
	break;
	}
	ij++;
	nbcode[Tvar[j]][ij]=i; /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality.*/
	cptcode = ij; /* New max modality for covar j */
	} /* end of loop on modality i=-1 to 1 or more */

	/* for (k=0; k<= cptcode; k++) { /\* k=-1 ? k=0 to 1 \//\ Could be 1 to 4 \//\ cptcode=modmaxcovj \/ /
	/* /\recode from 0 \/ */
	/* 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=0; k< maxncov; k++) Ndum[k]=0;	for (k=-1; k< maxncov; k++) Ndum[k]=0;

for (i=1; i<=ncovmodel-2; i++) { /* -2, cste and age */	for (i=1; i<=ncovmodel-2-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=1; i<= maxncov; 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]);/
if((Ndum[i]!=0) && (i<=ncovcol)){	if((Ndum[i]!=0) && (i<=ncovcol)){
Tvaraff[ij]=i; /For printing /
ij++;	ij++;
	/printf("diff Ndum[%d]=%d\n",i, Ndum[i]);/
	Tvaraff[ij]=i; /For printing (unclear) /
	}else{
	/* Tvaraff[ij]=0; */
}	}
}	}
ij--;	/* ij--; */
cptcoveff=ij; /Number of total covariates/	cptcoveff=ij; /Number of total covariates/

}	}


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

void evsij(double *eij, double x[], int nlstate, int stepm, int bage, int fage, double oldm, double **savm, int cij, int estepm,char strstart[] )	void evsij(double *eij, double x[], int nlstate, int stepm, int bage, int fage, double oldm, double **savm, int cij, int estepm,char strstart[] )

{	{
/* Health expectancies, no variances */	/* Health expectancies, no variances */
int i, j, nhstepm, hstepm, h, nstepm, k, cptj, cptj2, i2, j2;	int i, j, nhstepm, hstepm, h, nstepm;
int nhstepma, nstepma; /* Decreasing with age */	int nhstepma, nstepma; /* Decreasing with age */
double age, agelim, hf;	double age, agelim, hf;
double ***p3mat;	double ***p3mat;
Line 2975 void varevsij(char optionfilefiname[], d	Line 3792 void varevsij(char optionfilefiname[], d
/* 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);*/
/* double *newm;/	/* double *newm;/
	/* int movingaverage(double *probs, double bage,double fage, double mobaverage, int mobilav)/

	int movingaverage();
double dnewm,doldm;	double dnewm,doldm;
double dnewmp,doldmp;	double dnewmp,doldmp;
int i, j, nhstepm, hstepm, h, nstepm ;	int i, j, nhstepm, hstepm, h, nstepm ;
int k, cptcode;	int k;
double *xp;	double *xp;
double gp, gm; /* for var eij */	double gp, gm; /* for var eij */
double *gradg, trgradg; /for var eij */	double *gradg, trgradg; /for var eij */
Line 3033 void varevsij(char optionfilefiname[], d	Line 3853 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 3245 void varevsij(char optionfilefiname[], d	Line 4066 void varevsij(char optionfilefiname[], d
free_vector(gmp,nlstate+1,nlstate+ndeath);	free_vector(gmp,nlstate+1,nlstate+ndeath);
free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath);	free_matrix(gradgp,1,npar,nlstate+1,nlstate+ndeath);
free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/	free_matrix(trgradgp,nlstate+1,nlstate+ndeath,1,npar); /* mu or p point j*/
fprintf(ficgp,"\nunset parametric;unset label; set ter png small;set size 0.65, 0.65");	/* fprintf(ficgp,"\nunset parametric;unset label; set ter png small size 320, 240"); */
	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); */
fprintf(ficgp,"\n plot \"%s\" u 1:($3) not w l lt 2 ",subdirf(fileresprobmorprev));	fprintf(ficgp,"\n plot \"%s\" u 1:($3) not w l lt 1 ",subdirf(fileresprobmorprev));
fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95\%% interval\" w l lt 3 ",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 3 ",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 3278 void varprevlim(char fileres[], double *	Line 4101 void varprevlim(char fileres[], double *
{	{
/* Variance of prevalence limit */	/* Variance of prevalence limit */
/* double prevalim(double prlim, int nlstate, double xp, double age, double oldm, double savm,double ftolpl);/	/* double prevalim(double prlim, int nlstate, double xp, double age, double oldm, double savm,double ftolpl);/
double **newm;
double dnewm,doldm;	double dnewm,doldm;
int i, j, nhstepm, hstepm;	int i, j, nhstepm, hstepm;
int k, cptcode;
double *xp;	double *xp;
double gp, gm;	double gp, gm;
double gradg, trgradg;	double gradg, trgradg;
Line 3360 void varprevlim(char fileres[], double *	Line 4182 void varprevlim(char fileres[], double *
/********** Variance of one-step probabilities ****************/	/********** Variance of one-step probabilities ****************/
void varprob(char optionfilefiname[], double *matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij, int Tvar, int *nbcode, int ncodemax, char strstart[])	void varprob(char optionfilefiname[], double *matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij, int Tvar, int *nbcode, int ncodemax, char strstart[])
{	{
int i, j=0, i1, k1, l1, t, tj;	int i, j=0, k1, l1, tj;
int k2, l2, j1, z1;	int k2, l2, j1, z1;
int k=0,l, cptcode;	int k=0, l;
int first=1, first1;	int first=1, first1, first2;
double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;	double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;
double dnewm,doldm;	double dnewm,doldm;
double *xp;	double *xp;
double gp, gm;	double gp, gm;
double gradg, trgradg;	double gradg, trgradg;
double **mu;	double **mu;
double age,agelim, cov[NCOVMAX];	double age, cov[NCOVMAX+1];
double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */	double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */
int theta;	int theta;
char fileresprob[FILENAMELENGTH];	char fileresprob[FILENAMELENGTH];
char fileresprobcov[FILENAMELENGTH];	char fileresprobcov[FILENAMELENGTH];
char fileresprobcor[FILENAMELENGTH];	char fileresprobcor[FILENAMELENGTH];

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

strcpy(fileresprob,"prob");	strcpy(fileresprob,"prob");
Line 3434 void varprob(char optionfilefiname[], do	Line 4255 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 3449 standard deviations wide on each axis. <	Line 4269 standard deviations wide on each axis. <
To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.<br> \n");	To be simple, these graphs help to understand the significativity of each parameter in relation to a second other one.<br> \n");

cov[1]=1;	cov[1]=1;
tj=cptcoveff;	/* tj=cptcoveff; */
	tj = (int) pow(2,cptcoveff);
if (cptcovn<1) {tj=1;ncodemax[1]=1;}	if (cptcovn<1) {tj=1;ncodemax[1]=1;}
j1=0;	j1=0;
for(t=1; t<=tj;t++){	for(j1=1; j1<=tj;j1++){
for(i1=1; i1<=ncodemax[t];i1++){	/for(i1=1; i1<=ncodemax[t];i1++){ /
j1++;	/j1++;/
if (cptcovn>0) {	if (cptcovn>0) {
fprintf(ficresprob, "\n#********** Variable ");	fprintf(ficresprob, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][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#");
}	}

	gradg=matrix(1,npar,1,(nlstate)*(nlstate+ndeath));
	trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
	gp=vector(1,(nlstate)*(nlstate+ndeath));
	gm=vector(1,(nlstate)*(nlstate+ndeath));
for (age=bage; age<=fage; age ++){	for (age=bage; age<=fage; age ++){
cov[2]=age;	cov[2]=age;
	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]]];	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
	* 2 2 1 1 1
	* 3 1 2 1 1
	*/
	/* nbcode[1][1]=0 nbcode[1][2]=1;*/
}	}
for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2];	/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; /
	for (k=1; k<=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)];

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

for(theta=1; theta <=npar; theta++){	for(theta=1; theta <=npar; theta++){
for(i=1; i<=npar; i++)	for(i=1; i<=npar; i++)
Line 3527 To be simple, these graphs help to under	Line 4357 To be simple, these graphs help to under

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

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

Line 3564 To be simple, these graphs help to under	Line 4390 To be simple, these graphs help to under
i=0;	i=0;
for (k=1; k<=(nlstate);k++){	for (k=1; k<=(nlstate);k++){
for (l=1; l<=(nlstate+ndeath);l++){	for (l=1; l<=(nlstate+ndeath);l++){
i=i++;	i++;
fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l);	fprintf(ficresprobcov,"\n%d %d-%d",(int)age,k,l);
fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l);	fprintf(ficresprobcor,"\n%d %d-%d",(int)age,k,l);
for (j=1; j<=i;j++){	for (j=1; j<=i;j++){
	/* printf(" k=%d l=%d i=%d j=%d\n",k,l,i,j);fflush(stdout); */
fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]);	fprintf(ficresprobcov," %11.3e",varpij[i][j][(int)age]);
fprintf(ficresprobcor," %11.3e",varpij[i][j][(int) age]/sqrt(varpij[i][i][(int) age])/sqrt(varpij[j][j][(int)age]));	fprintf(ficresprobcor," %11.3e",varpij[i][j][(int) age]/sqrt(varpij[i][i][(int) age])/sqrt(varpij[j][j][(int)age]));
}	}
}	}
}/* end of loop for state */	}/* end of loop for state */
} /* end of loop for age */	} /* end of loop for age */
	free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath));
	free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath));
	free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);
	free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar);

/* Confidence intervalle of pij */	/* Confidence intervalle of pij */
/*	/*
fprintf(ficgp,"\nunset parametric;unset label");	fprintf(ficgp,"\nunset parametric;unset label");
Line 3587 To be simple, these graphs help to under	Line 4418 To be simple, these graphs help to under
*/	*/

/* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/	/* Drawing ellipsoids of confidence of two variables p(k1-l1,k2-l2)*/
first1=1;	first1=1;first2=2;
for (k2=1; k2<=(nlstate);k2++){	for (k2=1; k2<=(nlstate);k2++){
for (l2=1; l2<=(nlstate+ndeath);l2++){	for (l2=1; l2<=(nlstate+ndeath);l2++){
if(l2==k2) continue;	if(l2==k2) continue;
Line 3609 To be simple, these graphs help to under	Line 4440 To be simple, these graphs help to under
lc1=((v1+v2)+sqrt((v1+v2)(v1+v2) - 4(v1v2-cv12cv12)))/2.;	lc1=((v1+v2)+sqrt((v1+v2)(v1+v2) - 4(v1v2-cv12cv12)))/2.;
lc2=((v1+v2)-sqrt((v1+v2)(v1+v2) - 4(v1v2-cv12cv12)))/2.;	lc2=((v1+v2)-sqrt((v1+v2)(v1+v2) - 4(v1v2-cv12cv12)))/2.;
if ((lc2 <0) \|\| (lc1 <0) ){	if ((lc2 <0) \|\| (lc1 <0) ){
printf("Error: One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Continuing by making them positive: WRONG RESULTS.\n", lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);	if(first2==1){
fprintf(ficlog,"Error: One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e\n", lc1, lc2, v1, v2, cv12);fflush(ficlog);	first1=0;
lc1=fabs(lc1);	printf("Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS. See log file for details...\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);
lc2=fabs(lc2);	}
	fprintf(ficlog,"Strange: j1=%d One eigen value of 2x2 matrix of covariance is negative, lc1=%11.3e, lc2=%11.3e, v1=%11.3e, v2=%11.3e, cv12=%11.3e.\n It means that the matrix was not well estimated (varpij), for i=%2d, j=%2d, age=%4d .\n See files %s and %s. Probably WRONG RESULTS.\n", j1, lc1, lc2, v1, v2, cv12, i, j, (int)age,fileresprobcov, fileresprobcor);fflush(ficlog);
	/* lc1=fabs(lc1); / / If we want to have them positive */
	/* lc2=fabs(lc2); */
}	}

/* Eigen vectors */	/* Eigen vectors */
Line 3632 To be simple, these graphs help to under	Line 4466 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\nset size 0.65,0.65");	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 3659 To be simple, these graphs help to under	Line 4494 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 */
} /l1 /	} /l1 /
}/* k1 */	}/* k1 */
} /* loop covariates */	/* } / / loop covariates */
}	}
free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);	free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);
free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);	free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);
Line 3711 void printinghtml(char fileres[], char t	Line 4546 void printinghtml(char fileres[], char t

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

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

jj1=0;	jj1=0;
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\">");
}	}
/* Pij */	/* Pij */
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s%d1.png\">%s%d1.png</a><br> \	fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s%d_1.svg\">%s%d_1.svg</a><br> \
<img src=\"%s%d1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);	<img src=\"%s%d_1.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>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\
before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: <a href=\"%s%d2.png\">%s%d2.png</a><br> \	before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: <a href=\"%s%d_2.svg\">%s%d_2.svg</a><br> \
<img src=\"%s%d2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);	<img src=\"%s%d_2.svg\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);
/* Period (stable) prevalence in each health state */	/* Period (stable) prevalence in each health state */
for(cpt=1; cpt<nlstate;cpt++){	for(cpt=1; cpt<=nlstate;cpt++){
fprintf(fichtm,"<br>- Period (stable) prevalence in each health state : <a href=\"%s%d%d.png\">%s%d%d.png</a><br> \	fprintf(fichtm,"<br>- Convergence 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.png\">",subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1);	<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 : <a href=\"%s%d%d.png\">%s%d%d.png</a> <br> \	fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) : <a href=\"%s%d%d.svg\">%s%d%d.svg</a> <br> \
<img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);	<img src=\"%s%d%d.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.<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(fileres,"prob"),subdirf2(fileres,"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",
Line 3785 fprintf(fichtm," \n<ul><li><b>Graphs</b>	Line 4629 fprintf(fichtm," \n<ul><li><b>Graphs</b>
fflush(fichtm);	fflush(fichtm);
fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");	fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");

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

jj1=0;	jj1=0;
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);
Line 3819 true period expectancies (those weighted	Line 4663 true period expectancies (those weighted
void printinggnuplot(char fileres[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){	void printinggnuplot(char fileres[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){

char dirfileres[132],optfileres[132];	char dirfileres[132],optfileres[132];
int m0,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;
/* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */	/* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */
/* printf("Problem with file %s",optionfilegnuplot); */	/* printf("Problem with file %s",optionfilegnuplot); */
Line 3834 void printinggnuplot(char fileres[], cha	Line 4678 void printinggnuplot(char fileres[], cha
strcpy(dirfileres,optionfilefiname);	strcpy(dirfileres,optionfilefiname);
strcpy(optfileres,"vpl");	strcpy(optfileres,"vpl");
/* 1eme*/	/* 1eme*/
	fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'vpl' files\n");
for (cpt=1; cpt<= nlstate ; cpt ++) {	for (cpt=1; cpt<= nlstate ; cpt ++) {
for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) { /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */
fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"v"),cpt,k1);	fprintf(ficgp,"\nset out \"%s%d_%d.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\n\	set ter svg size 640, 480\n\
set size 0.65,0.65\n\	plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"%%lf",ageminpar,fage,subdirf2(fileres,"vpl"),k1-1,k1-1);
plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,subdirf2(fileres,"vpl"),k1-1,k1-1);

for (i=1; i<= nlstate ; i ++) {	for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");	if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," %%lf (%%lf)");
}	}
fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 1,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);	fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);
for (i=1; i<= nlstate ; i ++) {	for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");	if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," %%lf (%%lf)");
}	}
fprintf(ficgp,"\" t\"95\%% CI\" w l lt 2,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"\%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);	fprintf(ficgp,"\" t\"95%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"%%lf",subdirf2(fileres,"vpl"),k1-1,k1-1);
for (i=1; i<= nlstate ; i ++) {	for (i=1; i<= nlstate ; i ++) {
if (i==cpt) fprintf(ficgp," \%%lf (\%%lf)");	if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," %%lf (%%lf)");
}	}
fprintf(ficgp,"\" t\"\" w l lt 2,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l lt 3",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1));	fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l lt 2",subdirf2(fileres,"p"),k1-1,k1-1,2+4*(cpt-1));
}	}
}	}
/2 eme/	/2 eme/
	fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files\n");
for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) {
fprintf(ficgp,"\nset out \"%s%d.png\" \n",subdirf2(optionfilefiname,"e"),k1);	fprintf(ficgp,"\nset out \"%s%d.svg\" \n",subdirf2(optionfilefiname,"e"),k1);
fprintf(ficgp,"set ylabel \"Years\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] ",ageminpar,fage);	fprintf(ficgp,"set ylabel \"Years\" \nset ter svg size 640, 480\nplot [%.f:%.f] ",ageminpar,fage);

for (i=1; i<= nlstate+1 ; i ++) {	for (i=1; i<= nlstate+1 ; i ++) {
k=2*i;	k=2*i;
fprintf(ficgp,"\"%s\" every :::%d::%d u 1:2 \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);	fprintf(ficgp,"\"%s\" every :::%d::%d u 1:2 \"%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
for (j=1; j<= nlstate+1 ; j ++) {	for (j=1; j<= nlstate+1 ; j ++) {
if (j==i) fprintf(ficgp," \%%lf (\%%lf)");	if (j==i) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," %%lf (%%lf)");
}	}
if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,");	if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l ,");
else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1);	else fprintf(ficgp,"\" t\"LE in state (%d)\" w l ,",i-1);
fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2-$3*2) \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);	fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2-$3*2) \"%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
for (j=1; j<= nlstate+1 ; j ++) {	for (j=1; j<= nlstate+1 ; j ++) {
if (j==i) fprintf(ficgp," \%%lf (\%%lf)");	if (j==i) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," %%lf (%%lf)");
}	}
fprintf(ficgp,"\" t\"\" w l lt 1,");	fprintf(ficgp,"\" t\"\" w l lt 0,");
fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2+$3*2) \"\%%lf",subdirf2(fileres,"t"),k1-1,k1-1);	fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2+$3*2) \"%%lf",subdirf2(fileres,"t"),k1-1,k1-1);
for (j=1; j<= nlstate+1 ; j ++) {	for (j=1; j<= nlstate+1 ; j ++) {
if (j==i) fprintf(ficgp," \%%lf (\%%lf)");	if (j==i) fprintf(ficgp," %%lf (%%lf)");
else fprintf(ficgp," \%%lf (\%%lf)");	else fprintf(ficgp," %%lf (%%lf)");
}	}
if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 1");	if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0");
else fprintf(ficgp,"\" t\"\" w l lt 1,");	else fprintf(ficgp,"\" t\"\" w l lt 0,");
}	}
}	}

Line 3898 plot [%.f:%.f] \"%s\" every :::%d::%d u	Line 4742 plot [%.f:%.f] \"%s\" every :::%d::%d u
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\n\	fprintf(ficgp,"set ter svg size 640, 480\n\
set size 0.65,0.65\n\
plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileres,"e"),k1-1,k1-1,k,cpt);	plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileres,"e"),k1-1,k1-1,k,cpt);
/fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);	/fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");	for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
Line 3920 plot [%.f:%.f] \"%s\" every :::%d::%d u	Line 4763 plot [%.f:%.f] \"%s\" every :::%d::%d u
}	}

/* CV preval stable (period) */	/* CV preval stable (period) */
for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) { /* For each multivariate if any */
for (cpt=1; cpt<=nlstate ; cpt ++) {	for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
k=3;	k=3;
fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"p"),cpt,k1);	fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, cov=%d state=%d",k1, cpt);
	fprintf(ficgp,"\nset out \"%s%d_%d.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\nset size 0.65,0.65\n\	set ter svg size 640, 480\n\
unset log y\n\	unset log y\n\
plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1/0):($%d/($%d",ageminpar,agemaxpar,subdirf2(fileres,"pij"),k1,k+cpt+1,k+1);	plot [%.f:%.f] ", ageminpar, agemaxpar);
	for (i=1; i<= nlstate ; i ++){
for (i=1; i< nlstate ; i ++)	if(i==1)
fprintf(ficgp,"+$%d",k+i+1);	fprintf(ficgp,"\"%s\"",subdirf2(fileres,"pij"));
fprintf(ficgp,")) t\"prev(%d,%d)\" w l",cpt,cpt+1);	else
	fprintf(ficgp,", '' ");
l=3+(nlstate+ndeath)*cpt;	l=(nlstate+ndeath)*(i-1)+1;
fprintf(ficgp,",\"%s\" u ($1==%d ? ($3):1/0):($%d/($%d",subdirf2(fileres,"pij"),k1,l+cpt+1,l+1);	fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l);
for (i=1; i< nlstate ; i ++) {	for (j=1; j<= (nlstate-1) ; j ++)
l=3+(nlstate+ndeath)*cpt;	fprintf(ficgp,"+$%d",k+l+j);
fprintf(ficgp,"+$%d",l+i+1);	fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt);
}	} /* nlstate */
fprintf(ficgp,")) t\"prev(%d,%d)\" w l\n",cpt+1,cpt+1);	fprintf(ficgp,"\n");
}	} /* end cpt state*/
}	} /* end covariate */

/* proba elementaires */	/* proba elementaires */
	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;/
	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<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/	for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/
	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);
	fprintf(ficgp,"\nset out \"%s%d_%d.svg\" \n",subdirf2(optionfilefiname,"pe"),jk,ng);
if (ng==2)	if (ng==2)
fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");	fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");
else	else
fprintf(ficgp,"\nset title \"Probability\"\n");	fprintf(ficgp,"\nunset title \n");
fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65\nset log y\nplot [%.f:%.f] ",ageminpar,agemaxpar);	fprintf(ficgp,"\nset ter svg size 640, 480\nset log y\nplot [%.f:%.f] ",ageminpar,agemaxpar);
i=1;	i=1;
for(k2=1; k2<=nlstate; k2++) {	for(k2=1; k2<=nlstate; k2++) {
k3=i;	k3=i;
for(k=1; k<=(nlstate+ndeath); k++) {	for(k=1; k<=(nlstate+ndeath); k++) {
if (k != k2){	if (k != k2){
if(ng==2)	if(ng==2)
fprintf(ficgp," %fexp(p%d+p%dx",YEARM/stepm,i,i+1);	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);
else	else
fprintf(ficgp," exp(p%d+p%d*x",i,i+1);	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);
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)]);
	/* fprintf(ficgp,"+p%d%dx",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,Tvar[j-2])]); */
	ij++;
	}
}	}
else	else
fprintf(ficgp,"+p%d*%d",i+j-1,nbcode[Tvar[j-2]][codtab[jk][j-2]]);	fprintf(ficgp,"+p%d*%d",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
}	}
fprintf(ficgp,")/(1");	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)
	fprintf(ficgp,"+exp(p%d+p%dx",k3+(k1-1)ncovmodel,k3+(k1-1)*ncovmodel+1);
	else /* nagesqr =1 */
	fprintf(ficgp,"+exp(p%d+p%dx+p%dxx",k3+(k1-1)ncovmodel,k3+(k1-1)ncovmodel+1,k3+(k1-1)ncovmodel+1+nagesqr);

ij=1;	ij=1;
for(j=3; j <=ncovmodel; j++){	for(j=3; j <=ncovmodel-nagesqr; j++){
if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {	if(ij <=cptcovage) { /* Bug valgrind */
fprintf(ficgp,"+p%d%dx",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);	if((j-2)==Tage[ij]) { /* Bug valgrind */
ij++;	fprintf(ficgp,"+p%d%dx",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
	/* fprintf(ficgp,"+p%d%dx",k3+(k1-1)ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,Tvar[j-2])]); /
	ij++;
	}
}	}
else	else
fprintf(ficgp,"+p%d%d",k3+(k1-1)ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);	fprintf(ficgp,"+p%d%d",k3+(k1-1)ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
}	}
fprintf(ficgp,")");	fprintf(ficgp,")");
}	}
Line 4005 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1	Line 4888 plot [%.f:%.f] \"%s\" u ($1==%d ? ($3):1
} /* end k2 */	} /* end k2 */
} /* end jk */	} /* end jk */
} /* end ng */	} /* end ng */
	/* avoid: */
fflush(ficgp);	fflush(ficgp);
} /* end gnuplot */	} /* end gnuplot */

Line 4052 int movingaverage(double ***probs, doubl	Line 4936 int movingaverage(double ***probs, doubl


/************ Forecasting ****************/	/************ Forecasting ****************/
prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){	void prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){
/* proj1, year, month, day of starting projection	/* proj1, year, month, day of starting projection
agemin, agemax range of age	agemin, agemax range of age
dateprev1 dateprev2 range of dates during which prevalence is computed	dateprev1 dateprev2 range of dates during which prevalence is computed
anproj2 year of en of projection (same day and month as proj1).	anproj2 year of en of projection (same day and month as proj1).
*/	*/
int yearp, stepsize, hstepm, nhstepm, j, k, c, cptcod, i, h, i1;	int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1;
int *popage;
double agec; /* generic age */	double agec; /* generic age */
double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;	double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;
double popeffectif,popcount;	double popeffectif,popcount;
Line 4120 prevforecast(char fileres[], double anpr	Line 5003 prevforecast(char fileres[], double anpr
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 4144 prevforecast(char fileres[], double anpr	Line 5027 prevforecast(char fileres[], double anpr
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 4176 prevforecast(char fileres[], double anpr	Line 5059 prevforecast(char fileres[], double anpr
}	}

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

int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;	int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h;
int *popage;	int *popage;
Line 4242 populforecast(char fileres[], double anp	Line 5125 populforecast(char fileres[], double anp
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 4353 void prwizard(int ncovmodel, int nlstate	Line 5236 void prwizard(int ncovmodel, int nlstate

/* Wizard to print covariance matrix template */	/* Wizard to print covariance matrix template */

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

printf("# Parameters nlstatenlstatencov a121 + b12 age + ...\n");	printf("# Parameters nlstatenlstatencov a121 + b12 age + ...\n");
Line 4557 void printinghtmlmort(char fileres[], ch	Line 5440 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 4575 fprintf(fichtm,"<ul><li><h4>Life table</	Line 5458 fprintf(fichtm,"<ul><li><h4>Life table</
void printinggnuplotmort(char fileres[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){	void printinggnuplotmort(char fileres[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){

char dirfileres[132],optfileres[132];	char dirfileres[132],optfileres[132];
int m,cpt,k1,i,k,j,jk,k2,k3,ij,l;
int ng;	int ng;


Line 4586 void printinggnuplotmort(char fileres[],	Line 5469 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\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 4600 int readdata(char datafile[], int firsto	Line 5483 int readdata(char datafile[], int firsto
/-------- data file ----------/	/-------- data file ----------/
FILE *fic;	FILE *fic;
char dummy[]=" ";	char dummy[]=" ";
int i, j, n;	int i=0, j=0, n=0;
int linei, month, year,iout;	int linei, month, year,iout;
char line[MAXLINE], linetmp[MAXLINE];	char line[MAXLINE], linetmp[MAXLINE];
char stra[80], strb[80];	char stra[MAXLINE], strb[MAXLINE];
char *stratrunc;	char *stratrunc;
int lstra;	int lstra;


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 4631 int readdata(char datafile[], int firsto	Line 5514 int readdata(char datafile[], int firsto
continue;	continue;
}	}
trimbb(linetmp,line); /* Trims multiple blanks in line */	trimbb(linetmp,line); /* Trims multiple blanks in line */
for (j=0; line[j]!='\0';j++){	strcpy(line, linetmp);
line[j]=linetmp[j];
}


for (j=maxwav;j>=1;j--){	for (j=maxwav;j>=1;j--){
Line 4654 int readdata(char datafile[], int firsto	Line 5535 int readdata(char datafile[], int firsto

strcpy(line,stra);	strcpy(line,stra);
cutv(stra, strb,line,' ');	cutv(stra, strb,line,' ');
if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){	if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){
}	}
else if(iout=sscanf(strb,"%s.") != 0){	else if( (iout=sscanf(strb,"%s.",dummy)) != 0){
month=99;	month=99;
year=9999;	year=9999;
}else{	}else{
Line 4670 int readdata(char datafile[], int firsto	Line 5551 int readdata(char datafile[], int firsto
} /* ENd Waves */	} /* ENd Waves */

cutv(stra, strb,line,' ');	cutv(stra, strb,line,' ');
if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){	if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){
}	}
else if(iout=sscanf(strb,"%s.",dummy) != 0){	else if( (iout=sscanf(strb,"%s.",dummy)) != 0){
month=99;	month=99;
year=9999;	year=9999;
}else{	}else{
Line 4685 int readdata(char datafile[], int firsto	Line 5566 int readdata(char datafile[], int firsto
strcpy(line,stra);	strcpy(line,stra);

cutv(stra, strb,line,' ');	cutv(stra, strb,line,' ');
if(iout=sscanf(strb,"%d/%d",&month, &year) != 0){	if( (iout=sscanf(strb,"%d/%d",&month, &year)) != 0){
}	}
else if(iout=sscanf(strb,"%s.") != 0){	else if( (iout=sscanf(strb,"%s.", dummy)) != 0){
month=99;	month=99;
year=9999;	year=9999;
}else{	}else{
Line 4772 int readdata(char datafile[], int firsto	Line 5653 int readdata(char datafile[], int firsto
fclose(fic);	fclose(fic);

return (0);	return (0);
endread:	/* endread: */
printf("Exiting readdata: ");	printf("Exiting readdata: ");
fclose(fic);	fclose(fic);
return (1);	return (1);
Line 4780 int readdata(char datafile[], int firsto	Line 5661 int readdata(char datafile[], int firsto


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

	int decodemodel ( char model[], int lastobs) /**< This routine decode the model and returns:
	* Model V1+V2+V3+V8+V7V8+V5V6+V8age+V3age+age*age
	* - nagesqr = 1 if age*age in the model, otherwise 0.
	* - 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
	* - cptcovs number of simple covariates
	* - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10
	* which is a new column after the 9 (ncovcol) variables.
	* - if k is a product Vn*Vm covar[k][i] is filled with correct values for each individual
	* - Tprod[l] gives the kth covariates of the product Vn*Vm l=1 to cptcovprod-cptcovage
	* Tprod[1]@2 {5, 6}: position of first product V7V8 is 5, and second V5V6 is 6.
	* - Tvard[k] p Tvard[1][1]@4 {7, 8, 5, 6} for V7V8 and V5V6 .
	*/
{	{
int i, j, k;	int i, j, k, ks;
int i1, j1, k1, k2;	int 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);/
if (strlen(model) >1){ /* If there is at least 1 covariate */	if (strlen(model) >1){ /* If there is at least 1 covariate */
j=0, j1=0, k1=1, k2=1;	j=0, j1=0, k1=0, k2=-1, ks=0, cptcovn=0;
j=nbocc(model,'+'); /* j=Number of '+' */
j1=nbocc(model,''); / j1=Number of '' /
cptcovn=j+1; /* Number of covariates V1+V2*age+V3 =>(2 plus signs) + 1=3
but the covariates which are product must be computed and stored. */
cptcovprod=j1; /Number of products V1V2 +v3age = 2 /

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 4807 int decodemodel ( char model[], int last	Line 5703 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);
/* This loop fills the array Tvar from the string 'model'.*/	if ((strpt=strstr(model,"age*age")) !=0){
/* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */	printf(" strpt=%s, model=%s\n",strpt, model);
/* modelsav=V2+V1+V4+ageV3 strb=ageV3 stra=V2+V1+V4 */	if(strpt != model){
/* k=4 (ageV3) Tvar[k=4]= 3 (from V3) Tage[cptcovage=1]=4 /	printf("Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \
/* k=3 V4 Tvar[k=3]= 4 (from V4) */	'model=1+age+ageage+V1.' or 'model=1+age+ageage+V1+V1*age.', please swap as well as \n \
/* k=2 V1 Tvar[k=2]= 1 (from V1) */	corresponding column of parameters.\n",model);
/* k=1 Tvar[1]=2 (from V2) */	fprintf(ficlog,"Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \
/* k=5 Tvar[5] */	'model=1+age+ageage+V1.' or 'model=1+age+ageage+V1+V1*age.', please swap as well as \n \
/* for (k=1; k<=cptcovn;k++) { */	corresponding column of parameters.\n",model); fflush(ficlog);
/* cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; */	return 1;
/* } */	}
/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; /
for(k=cptcovn; k>=1;k--){	nagesqr=1;
cutv(stra,strb,modelsav,'+'); /* keeps in strb after the first '+'	if (strstr(model,"+age*age") !=0)
modelsav==V2+V1+V4+V3age strb=V3age stra=V2+V1+V4	substrchaine(modelsav, model, "+age*age");
*/	else if (strstr(model,"age*age+") !=0)
if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */	substrchaine(modelsav, model, "age*age+");
/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/	else
/scanf("%d",i);/	substrchaine(modelsav, model, "age*age");
if (strchr(strb,'')) { / Model includes a product V2+V1+V4+V3age strb=V3age */	}else
cutv(strd,strc,strb,''); / strdstrc VmVn: strb=V3age strc=age strd=V3 ; V3V2 strc=V2, strd=V3 */	nagesqr=0;
if (strcmp(strc,"age")==0) { /* Vnage /	if (strlen(modelsav) >1){
cptcovprod--;	j=nbocc(modelsav,'+'); /*< j=Number of '+' /
cutv(strb,stre,strd,'V'); /* stre="V3" */	j1=nbocc(modelsav,''); /< j1=Number of '' */
Tvar[k]=atoi(stre); /* V2+V1+V4+V3age Tvar[4]=2 ; V1+V2age Tvar[2]=2 */	cptcovs=j+1-j1; /*< Number of simple covariates V1+V1age+V3 +V3V4+ageage=> V1 + V3 =2 */
cptcovage++; /* Sums the number of covariates which include age as a product */	cptcovt= j+1; /* Number of total covariates in the model, not including
Tage[cptcovage]=k; /* Tage[1] = 4 */	* cst, age and age*age
/printf("stre=%s ", stre);/	* V1+V1age+ V3 + V3V4+ageage=> 4/
} else if (strcmp(strd,"age")==0) { /* or ageVn /	/* including age products which are counted in cptcovage.
cptcovprod--;	* but the covariates which are products must be treated
cutv(strb,stre,strc,'V');	* separately: ncovn=4- 2=2 (V1+V3). */
Tvar[k]=atoi(stre);	cptcovprod=j1; /*< Number of products V1V2 +v3age = 2 /
cptcovage++;	cptcovprodnoage=0; /*< Number of covariate products without age: V3V4 =1 */
Tage[cptcovage]=k;
} else { /* Age is not in the model product V2+V1+V1V4+V3age+V3V2 strb=V3V2*/
/* loops on k1=1 (V3V2) and k1=2 V4V3 */	/* Design
cutv(strb,stre,strc,'V'); /* strc= Vn, stre is n; strb=V3V2 stre=3 strc=/	* V1 V2 V3 V4 V5 V6 V7 V8 V9 Weight
Tvar[k]=ncovcol+k1; /* For model-covariate k tells which data-covariate to use but	* < ncovcol=8 >
because this model-covariate is a construction we invent a new column	* Model V2 + V1 + V3age + V3 + V5V6 + V7V8 + V8age + V8
ncovcol + k1	* k= 1 2 3 4 5 6 7 8
If already ncovcol=4 and model=V2+V1+V1V4+ageV3+V3*V2	* cptcovn number of covariates (not including constant and age ) = # of + plus 1 = 7+1=8
Tvar[3=V1V4]=4+1 Tvar[5=V3V2]=4 + 2= 6, etc */	* covar[k,i], value of kth covariate if not including age for individual i:
cutv(strb,strc,strd,'V'); /* strd was Vm, strc is m */	* covar[1][i]= (V2), covar[4][i]=(V3), covar[8][i]=(V8)
Tprod[k1]=k; /* Tprod[1]=3(=V1V4) for V2+V1+V1V4+ageV3+V3V2 */	* Tvar[k] # of the kth covariate: Tvar[1]=2 Tvar[4]=3 Tvar[8]=8
Tvard[k1][1]=atoi(strc); /* m 1 for V1*/	* if multiplied by age: V3age Tvar[3=V3age]=3 (V3) Tvar[7]=8 and
Tvard[k1][2]=atoi(stre); /* n 4 for V4*/	* Tage[++cptcovage]=k
Tvar[cptcovn+k2]=Tvard[k1][1]; /* Tvar[(cptcovn=4+k2=1)=5]= 1 (V1) */	* if products, new covar are created after ncovcol with k1
Tvar[cptcovn+k2+1]=Tvard[k1][2]; /* Tvar[(cptcovn=4+(k2=1)+1)=6]= 4 (V4) */	* Tvar[k]=ncovcol+k1; # of the kth covariate product: Tvar[5]=ncovcol+1=10 Tvar[6]=ncovcol+1=11
for (i=1; i<=lastobs;i++){	* Tprod[k1]=k; Tprod[1]=5 Tprod[2]= 6; gives the position of the k1th product
/* Computes the new covariate which is a product of	* 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
covar[n][i]* covar[m][i] and stores it at ncovol+k1 */	* Tvar[cptcovn+k2]=Tvard[k1][1];Tvar[cptcovn+k2+1]=Tvard[k1][2];
covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i];	* 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
k1++;	* < ncovcol=8 >
k2=k2+2;	* Model V2 + V1 + V3age + V3 + V5V6 + V7V8 + V8age + V8 d1 d1 d2 d2
} /* End age is not in the model */	* k= 1 2 3 4 5 6 7 8 9 10 11 12
} /* End if model includes a product */	* Tvar[k]= 2 1 3 3 10 11 8 8 5 6 7 8
else { /* no more sum */	* p Tvar[1]@12={2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6}
/printf("d=%s c=%s b=%s\n", strd,strc,strb);/	* p Tprod[1]@2={ 6, 5}
/* scanf("%d",i);*/	*p Tvard[1][1]@4= {7, 8, 5, 6}
cutv(strd,strc,strb,'V');	* covar[k][i]= V2 V1 ? V3 V5V6? V7V8? ? V8
Tvar[k]=atoi(strc);	* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
}	*How to reorganize?
strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */	* Model V1 + V2 + V3 + V8 + V5V6 + V7V8 + V3age + V8age
/*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);	* Tvars {2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6}
scanf("%d",i);*/	* {2, 1, 4, 8, 5, 6, 3, 7}
} /* end of loop + */	* Struct []
} /* end model */	*/

	/* This loop fills the array Tvar from the string 'model'.*/
	/* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */
	/* 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;
	cptcovage=0;
	for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */
	cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+'
	modelsav==V2+V1+V4+V3age strb=V3age stra=V2+V1+V4 */
	if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */
	/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/
	/scanf("%d",i);/
	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 /
	if (strcmp(strc,"age")==0) { /*< Model includes age: Vnage */
	/* covar is not filled and then is empty */
	cptcovprod--;
	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; V1+V1age Tvar[2]=1 /
	cptcovage++; /* Sums the number of covariates which include age as a product */
	Tage[cptcovage]=k; /* Tvar[4]=3, Tage[1] = 4 or V1+V1age Tvar[2]=1, Tage[1]=2 /
	/printf("stre=%s ", stre);/
	} else if (strcmp(strd,"age")==0) { /* or ageVn /
	cptcovprod--;
	cutl(stre,strb,strc,'V');
	Tvar[k]=atoi(stre);
	cptcovage++;
	Tage[cptcovage]=k;
	} else { /* Age is not in the model product V2+V1+V1V4+V3age+V3V2 strb=V3V2*/
	/* 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++;
	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 + on total covariates */
	} /* end if strlen(modelsave == 0) ageage might exist /
	} /* end if strlen(model == 0) */

/*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 4888 int decodemodel ( char model[], int last	Line 5862 int decodemodel ( char model[], int last


return (0); /* with covar[new additional covariate if product] and Tage if age */	return (0); /* with covar[new additional covariate if product] and Tage if age */
endread:	/endread:/
printf("Exiting decodemodel: ");	printf("Exiting decodemodel: ");
return (1);	return (1);
}	}

calandcheckages(int imx, int maxwav, double agemin, double agemax, int nberr, int nbwarn )	int calandcheckages(int imx, int maxwav, double agemin, double agemax, int nberr, int nbwarn )
{	{
int i, m;	int i, m;

Line 4904 calandcheckages(int imx, int maxwav, dou	Line 5878 calandcheckages(int imx, int maxwav, dou
s[m][i]=-1;	s[m][i]=-1;
}	}
if((int)moisdc[i]==99 && (int)andc[i]==9999 && s[m][i]>nlstate){	if((int)moisdc[i]==99 && (int)andc[i]==9999 && s[m][i]>nlstate){
*nberr++;	nberr = nberr + 1;
printf("Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);	printf("Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased (%d)\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr);
fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased\n",(int)moisdc[i],(int)andc[i],num[i],i);	fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results are biased (%d)\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr);
s[m][i]=-1;	s[m][i]=-1;
}	}
if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){	if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){
*nberr++;	(*nberr)++;
printf("Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]);	printf("Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]);
fprintf(ficlog,"Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]);	fprintf(ficlog,"Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]);
s[m][i]=-1; /* We prefer to skip it (and to skip it in version 0.8a1 too */	s[m][i]=-1; /* We prefer to skip it (and to skip it in version 0.8a1 too */
Line 4923 calandcheckages(int imx, int maxwav, dou	Line 5897 calandcheckages(int imx, int maxwav, dou
for(m=firstpass; (m<= lastpass); m++){	for(m=firstpass; (m<= lastpass); m++){
if(s[m][i] >0 \|\| s[m][i]==-2 \|\| s[m][i]==-4 \|\| s[m][i]==-5){	if(s[m][i] >0 \|\| s[m][i]==-2 \|\| s[m][i]==-4 \|\| s[m][i]==-5){
if (s[m][i] >= nlstate+1) {	if (s[m][i] >= nlstate+1) {
if(agedc[i]>0)	if(agedc[i]>0){
if((int)moisdc[i]!=99 && (int)andc[i]!=9999)	if((int)moisdc[i]!=99 && (int)andc[i]!=9999){
agev[m][i]=agedc[i];	agev[m][i]=agedc[i];
/if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;/	/if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;/
else {	}else {
if ((int)andc[i]!=9999){	if ((int)andc[i]!=9999){
nbwarn++;	nbwarn++;
printf("Warning negative age at death: %ld line:%d\n",num[i],i);	printf("Warning negative age at death: %ld line:%d\n",num[i],i);
Line 4935 calandcheckages(int imx, int maxwav, dou	Line 5909 calandcheckages(int imx, int maxwav, dou
agev[m][i]=-1;	agev[m][i]=-1;
}	}
}	}
	} /* agedc > 0 */
}	}
else if(s[m][i] !=9){ /* Standard case, age in fractional	else if(s[m][i] !=9){ /* Standard case, age in fractional
years but with the precision of a month */	years but with the precision of a month */
Line 4947 calandcheckages(int imx, int maxwav, dou	Line 5922 calandcheckages(int imx, int maxwav, dou
}	}
else if(agev[m][i] >*agemax){	else if(agev[m][i] >*agemax){
*agemax=agev[m][i];	*agemax=agev[m][i];
printf(" Max anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.2f\n",m,i,anint[m][i], i,annais[i], *agemax);	/* printf(" Max anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.2f\n",m,i,anint[m][i], i,annais[i], agemax);/
}	}
/agev[m][i]=anint[m][i]-annais[i];/	/agev[m][i]=anint[m][i]-annais[i];/
/* agev[m][i] = age[i]+2m;/	/* agev[m][i] = age[i]+2m;/
Line 4965 calandcheckages(int imx, int maxwav, dou	Line 5940 calandcheckages(int imx, int maxwav, dou
for (i=1; i<=imx; i++) {	for (i=1; i<=imx; i++) {
for(m=firstpass; (m<=lastpass); m++){	for(m=firstpass; (m<=lastpass); m++){
if (s[m][i] > (nlstate+ndeath)) {	if (s[m][i] > (nlstate+ndeath)) {
*nberr++;	(*nberr)++;
printf("Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);	printf("Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);
fprintf(ficlog,"Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);	fprintf(ficlog,"Error: on wave %d of individual %d status %d > (nlstate+ndeath)=(%d+%d)=%d\n",m,i,s[m][i],nlstate, ndeath, nlstate+ndeath);
return 1;	return 1;
Line 4978 calandcheckages(int imx, int maxwav, dou	Line 5953 calandcheckages(int imx, int maxwav, dou
printf("%ld %d %.lf %d %d\n", num[i],(covar[1][i]),agev[m][i],s[m][i],s[m+1][i]);	printf("%ld %d %.lf %d %d\n", num[i],(covar[1][i]),agev[m][i],s[m][i],s[m+1][i]);
}	}

}*/	}*/


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

	return (0);
	/* endread:*/
	printf("Exiting calandcheckages: ");
	return (1);
	}

	#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"*/
	/* 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>

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

	// 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!
	// Windows (x64 and x86)
	printf("Windows (x64 and x86) ");if(logged) fprintf(ficlog,"Windows (x64 and x86) ");
	#elif __unix__ // all unices, not all compilers
	// Unix
	printf("Unix ");if(logged) fprintf(ficlog,"Unix ");
	#elif __linux__
	// linux
	printf("linux ");if(logged) fprintf(ficlog,"linux ");
	#elif __APPLE__
	// Mac OS, not sure if this is covered by __posix__ and/or __unix__ though..
	printf("Mac OS ");if(logged) fprintf(ficlog,"Mac OS ");
	#endif

	/* __MINGW32__ */
	/* __CYGWIN__ */
	/* __MINGW64__ */
	// http://msdn.microsoft.com/en-us/library/b0084kay.aspx
	/* _MSC_VER //the Visual C++ compiler is 17.00.51106.1, the _MSC_VER macro evaluates to 1700. Type cl /? */
	/* _MSC_FULL_VER //the Visual C++ compiler is 15.00.20706.01, the _MSC_FULL_VER macro evaluates to 150020706 */
	/* _WIN64 // Defined for applications for Win64. */
	/* _M_X64 // Defined for compilations that target x64 processors. */
	/* _DEBUG // Defined when you compile with /LDd, /MDd, and /MTd. */

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

	#if defined(__GNUC__)
	# if defined(__GNUC_PATCHLEVEL__)
	# define __GNUC_VERSION__ (__GNUC__ * 10000 \
	+ __GNUC_MINOR__ * 100 \
	+ __GNUC_PATCHLEVEL__)
	# else
	# define __GNUC_VERSION__ (__GNUC__ * 10000 \
	+ __GNUC_MINOR__ * 100)
	# endif
	printf(" using 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

	// void main()
	// {
	#if defined(_MSC_VER)
	if (IsWow64()){
	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


	}

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

	strcpy(filerespl,"pl");
	strcat(filerespl,fileres);
	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 \n");
	fprintf(ficrespl,"#Age ");
	for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);
	fprintf(ficrespl,"\n");

	/* prlim=matrix(1,nlstate,1,nlstate);/ / 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,"\n");

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

printf("Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);	double agedeb;
fprintf(ficlog,"Total number of individuals= %d, Agemin = %.2f, Agemax= %.2f\n\n", imx, agemin, agemax);	double ***p3mat;

return (0);	strcpy(filerespij,"pij"); strcat(filerespij,fileres);
endread:	if((ficrespij=fopen(filerespij,"w"))==NULL) {
printf("Exiting calandcheckages: ");	printf("Problem with Pij resultfile: %s\n", filerespij); return 1;
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;
}	}


Line 5005 int main(int argc, char *argv[])	Line 6315 int main(int argc, char *argv[])
double ssval;	double ssval;
#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,m,size=100,cptcode, cptcod;	int i,j, k, n=MAXN,iter=0,m,size=100, cptcod;
int linei, month, year,iout;
int jj, ll, li, lj, lk, imk;	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;

char ca[32], cb[32], cc[32];	char ca[32], cb[32];
/* FILE fichtm; //* Html File */	/* FILE fichtm; //* Html File */
/* FILE ficgp;/ /Gnuplot File /	/* FILE ficgp;/ /Gnuplot File /
struct stat info;	struct stat info;
double agedeb, agefin,hf;	double agedeb=0.;
double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20;

double fret;	double ageminpar=AGEOVERFLOW,agemin=AGEOVERFLOW, agemaxpar=-AGEOVERFLOW, agemax=-AGEOVERFLOW;
double **xi,tmp,delta;

double dum; /* Dummy variable */	double fret;
	double dum=0.; /* Dummy variable */
double ***p3mat;	double ***p3mat;
double ***mobaverage;	double ***mobaverage;
int *indx;
char line[MAXLINE], linepar[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 *bp, tok, val; / pathtot */	char tok, val; /* pathtot */
int firstobs=1, lastobs=10;	int firstobs=1, lastobs=10;
int sdeb, sfin; /* Status at beginning and end */	int c, h , cpt, c2;
int c, h , cpt,l;	int jl=0;
int ju,jl, mi;	int i1, j1, jk, stepsize=0;
int i1,j1, jk,aa,bb, stepsize, ij;	int count=0;
int jnais,jdc,jint4,jint1,jint2,jint3,*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, fage, 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 */
Line 5056 int main(int argc, char *argv[])	Line 6369 int main(int argc, char *argv[])
double *eij, *vareij;	double *eij, *vareij;
double *varpl; / Variances of prevalence limits by age */	double *varpl; / Variances of prevalence limits by age */
double *epj, vepp;	double *epj, vepp;
double kk1, kk2;
double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;	double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;
double **ximort;	double **ximort;
char *alph[]={"a","a","b","c","d","e"}, str[4];	char *alph[]={"a","a","b","c","d","e"}, str[4]="1234";
int *dcwave;	int *dcwave;

char z[1]="c", occ;	char z[1]="c";

/char strt;*/	/char strt;*/
char strtend[80];	char strtend[80];

long total_usecs;

/* setlocale (LC_ALL, ""); */	/* setlocale (LC_ALL, ""); */
/* bindtextdomain (PACKAGE, LOCALEDIR); */	/* bindtextdomain (PACKAGE, LOCALEDIR); */
/* textdomain (PACKAGE); */	/* textdomain (PACKAGE); */
Line 5076 int main(int argc, char *argv[])	Line 6388 int main(int argc, char *argv[])
/* setlocale (LC_MESSAGES, ""); */	/* setlocale (LC_MESSAGES, ""); */

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

/* printf("Localtime (at start)=%s",strstart); */	/* printf("Localtime (at start)=%s",strstart); */
/* tp.tv_sec = tp.tv_sec +86400; */	/* tp.tm_sec = tp.tm_sec +86400; */
/* tm = localtime(&start_time.tv_sec); /	/* tm = localtime(&start_time.tm_sec); /
/* tmg.tm_year=tmg.tm_year +dsigndyear; /	/* tmg.tm_year=tmg.tm_year +dsigndyear; /
/* tmg.tm_mon=tmg.tm_mon +dsigndmonth; /	/* tmg.tm_mon=tmg.tm_mon +dsigndmonth; /
/* tmg.tm_hour=tmg.tm_hour + 1; */	/* tmg.tm_hour=tmg.tm_hour + 1; */
/* tp.tv_sec = mktime(&tmg); */	/* tp.tm_sec = mktime(&tmg); */
/* strt=asctime(&tmg); */	/* strt=asctime(&tmg); */
/* printf("Time(after) =%s",strstart); */	/* printf("Time(after) =%s",strstart); */
/* (void) time (&time_value);	/* (void) time (&time_value);
Line 5100 int main(int argc, char *argv[])	Line 6414 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);
i=strlen(pathr);	i=strlen(pathr);
if(pathr[i-1]=='\n')	if(pathr[i-1]=='\n')
pathr[i-1]='\0';	pathr[i-1]='\0';
	i=strlen(pathr);
	if(pathr[i-1]==' ') /* This may happen when dragging on oS/X! */
	pathr[i-1]='\0';
for (tok = pathr; tok != NULL; ){	for (tok = pathr; tok != NULL; ){
printf("Pathr \|%s\|\n",pathr);	printf("Pathr \|%s\|\n",pathr);
while ((val = strsep(&tok, "\"" )) != NULL && *val == '\0');	while ((val = strsep(&tok, "\"" )) != NULL && *val == '\0');
Line 5133 int main(int argc, char *argv[])	Line 6454 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){
printf("Problem creating directory or it already exists %s%s, err=%d\n",path,optionfilefiname,outcmd);	printf("Directory already exists (or can't create it) %s%s, err=%d\n",path,optionfilefiname,outcmd);
/* fprintf(ficlog,"Problem creating directory %s%s\n",path,optionfilefiname); */	/* fprintf(ficlog,"Problem creating directory %s%s\n",path,optionfilefiname); */
/* fclose(ficlog); */	/* fclose(ficlog); */
/* exit(1); */	/* exit(1); */
Line 5150 int main(int argc, char *argv[])	Line 6476 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 5158 int main(int argc, char *argv[])	Line 6484 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\
optionfile=%s\n\	optionfile=%s\n\
optionfilext=%s\n\	optionfilext=%s\n\
optionfilefiname=%s\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname);	optionfilefiname='%s'\n",pathimach,pathtot,path,optionfile,optionfilext,optionfilefiname);

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

/* */	/* */
strcpy(fileres,"r");	strcpy(fileres,"r");
strcat(fileres, optionfilefiname);	strcat(fileres, optionfilefiname);
strcat(fileres,".txt"); /* Other files have txt extension */	strcat(fileres,".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\n",optionfile);	printf("Problem with optionfile '%s' with errno='%s'\n",optionfile,strerror(errno));
fprintf(ficlog,"Problem with optionfile %s\n",optionfile);	fprintf(ficlog,"Problem with optionfile '%s' with errno='%s'\n",optionfile,strerror(errno));
fflush(ficlog);	fflush(ficlog);
goto end;	/* goto end; */
	exit(70);
}	}


Line 5199 int main(int argc, char *argv[])	Line 6528 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);	/* Second 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,"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);
}	}
ungetc(c,ficpar);

fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);	/* Third parameter line */
numlinepar++;	while(fgets(line, MAXLINE, ficpar)) {
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);	/* If line starts with a # it is a comment */
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);	if (line[0] == '#') {
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);	numlinepar++;
	fputs(line,stdout);
	fputs(line,ficparo);
	fputs(line,ficlog);
	continue;
	}else
	break;
	}
	if((num_filled=sscanf(line,"model=1+age%[^.\n]\n", model)) !=EOF){
	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); */
	}
	/* 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); */
	if(model[strlen(model)-1]=='.') /* Suppressing leading dot in the model */
	model[strlen(model)-1]='\0';
	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 5227 int main(int argc, char *argv[])	Line 6631 int main(int argc, char *argv[])
ungetc(c,ficpar);	ungetc(c,ficpar);


covar=matrix(0,NCOVMAX,1,n);	covar=matrix(0,NCOVMAX,1,n); /*< used in readdata /
cptcovn=0; /Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn/	cptcovn=0; /Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn/
/* v1+v2+v3+v2v4+v5age makes cptcovn = 5	/* v1+v2+v3+v2v4+v5age makes cptcovn = 5
v1+v2age+v2v3 makes cptcovn = 3	v1+v2age+v2v3 makes cptcovn = 3
*/	*/
if (strlen(model)>1)	if (strlen(model)>1)
cptcovn=nbocc(model,'+')+1;	ncovmodel=2+nbocc(model,'+')+1; /Number of variables including intercept and age = cptcovn + intercept + age : v1+v2+v3+v2v4+v5age makes 5+2=7,ageage makes 3*/
/* ncovprod */	else
ncovmodel=2+cptcovn; /Number of variables including intercept and age = cptcovn + intercept + age : v1+v2+v3+v2v4+v5age makes 5+2=7/	ncovmodel=2; /* 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 5251 int main(int argc, char *argv[])	Line 6654 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);
}	}
else{	else{
/* Read guess parameters */	/* Read guessed parameters */
/* Reads comments: lines beginning with '#' */	/* Reads comments: lines beginning with '#' */
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
Line 5286 int main(int argc, char *argv[])	Line 6689 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 5294 run imach with mle=-1 to get a correct t	Line 6697 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 5316 run imach with mle=-1 to get a correct t	Line 6719 run imach with mle=-1 to get a correct t
}	}
fflush(ficlog);	fflush(ficlog);

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

/* Reads comments: lines beginning with '#' */	/* Reads comments: lines beginning with '#' */
Line 5332 run imach with mle=-1 to get a correct t	Line 6736 run imach with mle=-1 to get a correct t
for(i=1; i <=nlstate; i++){	for(i=1; i <=nlstate; i++){
for(j=1; j <=nlstate+ndeath-1; j++){	for(j=1; j <=nlstate+ndeath-1; j++){
fscanf(ficpar,"%1d%1d",&i1,&j1);	fscanf(ficpar,"%1d%1d",&i1,&j1);
if ((i1-i)*(j1-j)!=0){	if ( (i1-i) * (j1-j) != 0){
printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1);	printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1);
exit(1);	exit(1);
}	}
Line 5354 run imach with mle=-1 to get a correct t	Line 6758 run imach with mle=-1 to get a correct t
}	}
fflush(ficlog);	fflush(ficlog);

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


Line 5374 run imach with mle=-1 to get a correct t	Line 6779 run imach with mle=-1 to get a correct t
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 5395 run imach with mle=-1 to get a correct t	Line 6810 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 5417 run imach with mle=-1 to get a correct t	Line 6833 run imach with mle=-1 to get a correct t
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 5433 run imach with mle=-1 to get a correct t	Line 6850 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 5455 run imach with mle=-1 to get a correct t	Line 6873 run imach with mle=-1 to get a correct t
ncovcol + k1	ncovcol + k1
If already ncovcol=4 and model=V2+V1+V1V4+ageV3	If already ncovcol=4 and model=V2+V1+V1V4+ageV3
Tvar[3=V1V4]=4+1 etc /	Tvar[3=V1V4]=4+1 etc /
Tprod=ivector(1,15); /* Gives the position of a product */	Tprod=ivector(1,NCOVMAX); /* Gives the position of a product */
/* Tprod[k1=1]=3(=V1V4) for V2+V1+V1V4+age*V3	/* Tprod[k1=1]=3(=V1V4) for V2+V1+V1V4+age*V3
if V2+V1+V1V4+ageV3+V3V2 TProd[k1=2]=5 (V3V2)	if V2+V1+V1V4+ageV3+V3V2 TProd[k1=2]=5 (V3V2)
*/	*/
Tvaraff=ivector(1,15);	Tvaraff=ivector(1,NCOVMAX); /* Unclear */
Tvard=imatrix(1,15,1,2); /* n=Tvard[k1][1] and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm	Tvard=imatrix(1,NCOVMAX,1,2); /* n=Tvard[k1][1] and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm
* For V3V2 (in V2+V1+V1V4+ageV3+V3V2), V3*V2 position is 2nd.	* For V3V2 (in V2+V1+V1V4+ageV3+V3V2), V3*V2 position is 2nd.
* Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */	* Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */
Tage=ivector(1,15); /* Gives the covariate id of covariates associated with age: V2 + V1 + ageV4 + V3age	Tage=ivector(1,NCOVMAX); /* Gives the covariate id of covariates associated with age: V2 + V1 + ageV4 + V3age
4 covariates (3 plus signs)	4 covariates (3 plus signs)
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 5495 run imach with mle=-1 to get a correct t	Line 6916 run imach with mle=-1 to get a correct t
free_matrix(anint,1,maxwav,1,n);*/	free_matrix(anint,1,maxwav,1,n);*/
free_vector(moisdc,1,n);	free_vector(moisdc,1,n);
free_vector(andc,1,n);	free_vector(andc,1,n);
	/* */

wav=ivector(1,imx);	wav=ivector(1,imx);
dh=imatrix(1,lastpass-firstpass+1,1,imx);	dh=imatrix(1,lastpass-firstpass+1,1,imx);
bh=imatrix(1,lastpass-firstpass+1,1,imx);	bh=imatrix(1,lastpass-firstpass+1,1,imx);
Line 5504 run imach with mle=-1 to get a correct t	Line 6925 run imach with mle=-1 to get a correct t

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

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

nbcode=imatrix(0,NCOVMAX,0,NCOVMAX);	nbcode=imatrix(0,NCOVMAX,0,NCOVMAX);
ncodemax[1]=1;	ncodemax[1]=1;
if (cptcovn > 0) tricode(Tvar,nbcode,imx);	Ndum =ivector(-1,NCOVMAX);
	if (ncovmodel-nagesqr > 2 ) /* That is if covariate other than cst, age and ageage /
codtab=imatrix(1,100,1,10); /< codtab[h,k]=( (h-1) - mod(k-1,2(k-1) )/2**(k-1)	tricode(Tvar,nbcode,imx, Ndum); /*< Fills nbcode[Tvar[j]][l]; /
*/	/* Nbcode gives the value of the lth modality of jth covariate, in
	V2+V1age, there are 3 covariates Tvar[2]=1 (V1)./
	/* 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;


	/if (cptcovn > 0) /


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 5534 run imach with mle=-1 to get a correct t	Line 6962 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);



/------------ gnuplot -------------/	/* Initialisation of ----------- gnuplot -------------*/
strcpy(optionfilegnuplot,optionfilefiname);	strcpy(optionfilegnuplot,optionfilefiname);
if(mle==-3)	if(mle==-3)
strcat(optionfilegnuplot,"-mort");	strcat(optionfilegnuplot,"-mort");
Line 5576 run imach with mle=-1 to get a correct t	Line 7024 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)
Line 5618 Title=%s <br>Datafile=%s Firstpass=%d La	Line 7068 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 5641 Interval (in months) between two waves:	Line 7096 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 5682 Interval (in months) between two waves:	Line 7137 Interval (in months) between two waves:
ximort[i][j]=(i == j ? 1.0 : 0.0);	ximort[i][j]=(i == j ? 1.0 : 0.0);
}	}

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


#ifdef GSL	#ifdef GSL
printf("GSL optimization\n"); fprintf(ficlog,"Powell\n");	printf("GSL optimization\n"); fprintf(ficlog,"Powell\n");
#elsedef	#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");
Line 5699 Interval (in months) between two waves:	Line 7154 Interval (in months) between two waves:
}	}
#ifdef GSL	#ifdef GSL
fprintf(ficrespow,"# GSL optimization\n# iter -2*LL");	fprintf(ficrespow,"# GSL optimization\n# iter -2*LL");
#elsedef	#else
fprintf(ficrespow,"# Powell\n# iter -2*LL");	fprintf(ficrespow,"# Powell\n# iter -2*LL");
#endif	#endif
/* for (i=1;i<=nlstate;i++)	/* for (i=1;i<=nlstate;i++)
Line 5734 Interval (in months) between two waves:	Line 7189 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 5803 Interval (in months) between two waves:	Line 7258 Interval (in months) between two waves:
}	}

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 5837 Interval (in months) between two waves:	Line 7293 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\
	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(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);
printinghtmlmort(fileres,title,datafile, firstpass, lastpass, \	printinghtmlmort(fileres,title,datafile, firstpass, lastpass, \
stepm, weightopt,\	stepm, weightopt,\
model,imx,p,matcov,agemortsup);	model,imx,p,matcov,agemortsup);
Line 5852 Interval (in months) between two waves:	Line 7315 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 >=1 */
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 5885 Interval (in months) between two waves:	Line 7349 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 5901 Interval (in months) between two waves:	Line 7365 Interval (in months) between two waves:
ftolhess=ftol; /* Usually correct */	ftolhess=ftol; /* Usually correct */
hesscov(matcov, p, npar, delti, ftolhess, func);	hesscov(matcov, 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");
	}
	}
	}

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 6028 Interval (in months) between two waves:	Line 7510 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 6056 Interval (in months) between two waves:	Line 7539 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 6076 Interval (in months) between two waves:	Line 7560 Interval (in months) between two waves:



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

replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */	replace_back_to_slash(pathc,pathcd); /* Even gnuplot wants a / */
printinggnuplot(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);	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(fileres, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);

printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,\	printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,\
model,imx,jmin,jmax,jmean,rfileres,popforecast,estepm,\	model,imx,jmin,jmax,jmean,rfileres,popforecast,estepm,\
Line 6101 Interval (in months) between two waves:	Line 7593 Interval (in months) between two waves:
fclose(ficres);	fclose(ficres);


/--------------- Prevalence limit (period or stable prevalence) --------------/	/* Other results (useful)*/

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

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

agebase=ageminpar;
agelim=agemaxpar;
ftolpl=1.e-10;
i1=pow(2,cptcoveff);
if (cptcovn < 1){i1=1;}

for(cptcov=1,k=0;cptcov<=i1;cptcov++){	/--------------- Prevalence limit (period or stable prevalence) --------------/
//for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){	/#include "prevlim.h"/ /* Use ficrespl, ficlog */
k=k+1;	prlim=matrix(1,nlstate,1,nlstate);
/* to clean */	prevalence_limit(p, prlim, ageminpar, agemaxpar);
//printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtab[cptcod][cptcov]);
fprintf(ficrespl,"\n#******");
printf("\n#******");
fprintf(ficlog,"\n#******");
for(j=1;j<=cptcoveff;j++) {
fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
}
fprintf(ficrespl,"******\n");
printf("******\n");
fprintf(ficlog,"******\n");

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

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

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

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

/* hstepm=1; aff par mois*/
pstamp(ficrespij);
fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x ");
for(cptcov=1,k=0;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
k=k+1;
fprintf(ficrespij,"\n#****** ");
for(j=1;j<=cptcoveff;j++)
fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
fprintf(ficrespij,"******\n");

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

/* nhstepm=nhstepmYEARM; aff par mois/

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

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

fclose(ficrespij);

probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);	probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
for(i=1;i<=AGESUP;i++)	for(i=1;i<=AGESUP;i++)
Line 6233 Interval (in months) between two waves:	Line 7635 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 6261 Interval (in months) between two waves:	Line 7664 Interval (in months) between two waves:
}	}
printf("Computing Health Expectancies: result on file '%s' \n", filerese);	printf("Computing Health Expectancies: result on file '%s' \n", filerese);
fprintf(ficlog,"Computing Health Expectancies: result on file '%s' \n", filerese);	fprintf(ficlog,"Computing Health Expectancies: result on file '%s' \n", filerese);
for(cptcov=1,k=0;cptcov<=i1;cptcov++){	/*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){	for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
k=k+1;
	for (k=1; k <= (int) pow(2,cptcoveff); k++){
fprintf(ficreseij,"\n#****** ");	fprintf(ficreseij,"\n#****** ");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcoveff;j++) {
fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
}	}
fprintf(ficreseij,"******\n");	fprintf(ficreseij,"******\n");

Line 6275 Interval (in months) between two waves:	Line 7679 Interval (in months) between two waves:
evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart);	evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart);

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

Line 6320 Interval (in months) between two waves:	Line 7724 Interval (in months) between two waves:
printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);	printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);
fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);	fprintf(ficlog,"Computing Variance-covariance of DFLEs: file '%s' \n", fileresv);

for(cptcov=1,k=0;cptcov<=i1;cptcov++){	/*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){	for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
k=k+1;
fprintf(ficrest,"\n#****** ");	for (k=1; k <= (int) pow(2,cptcoveff); k++){
	fprintf(ficrest,"\n#****** ");
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][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);
oldm=oldms;savm=savms;	oldm=oldms;savm=savms;
cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart);	cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart);
	/*
	*/
	/* goto endfree; */

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


for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/	for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/
oldm=oldms;savm=savms;	oldm=oldms;savm=savms; /* ZZ Segmentation fault */
varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# (weighted average of eij where weights are ");	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 */
	fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# (weighted average of eij where weights are ");
if(vpopbased==1)	if(vpopbased==1)
fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);	fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);
else	else
Line 6358 Interval (in months) between two waves:	Line 7770 Interval (in months) between two waves:
fprintf(ficrest,"# Age e.. (std) ");	fprintf(ficrest,"# Age 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,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 6373 Interval (in months) between two waves:	Line 7785 Interval (in months) between two waves:
}	}

fprintf(ficrest," %4.0f",age);	fprintf(ficrest," %4.0f",age);
	/* 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 6394 Interval (in months) between two waves:	Line 7809 Interval (in months) between two waves:
free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);	free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);	free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);
free_vector(epj,1,nlstate+1);	free_vector(epj,1,nlstate+1);
}	/}/
}	}
free_vector(weight,1,n);	free_vector(weight,1,n);
free_imatrix(Tvard,1,15,1,2);	free_imatrix(Tvard,1,NCOVMAX,1,2);
free_imatrix(s,1,maxwav+1,1,n);	free_imatrix(s,1,maxwav+1,1,n);
free_matrix(anint,1,maxwav,1,n);	free_matrix(anint,1,maxwav,1,n);
free_matrix(mint,1,maxwav,1,n);	free_matrix(mint,1,maxwav,1,n);
Line 6419 Interval (in months) between two waves:	Line 7834 Interval (in months) between two waves:
}	}
printf("Computing Variance-covariance of period (stable) prevalence: file '%s' \n", fileresvpl);	printf("Computing Variance-covariance of period (stable) prevalence: file '%s' \n", fileresvpl);

for(cptcov=1,k=0;cptcov<=i1;cptcov++){	/*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){	for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
k=k+1;
fprintf(ficresvpl,"\n#****** ");	for (k=1; k <= (int) pow(2,cptcoveff); k++){
	fprintf(ficresvpl,"\n#****** ");
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);	fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][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,k,strstart);
free_matrix(varpl,1,nlstate,(int) bage, (int)fage);	free_matrix(varpl,1,nlstate,(int) bage, (int)fage);
}	/}/
}	}

fclose(ficresvpl);	fclose(ficresvpl);
Line 6440 Interval (in months) between two waves:	Line 7856 Interval (in months) between two waves:
if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);	free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);
} /* mle==-3 arrives here for freeing */	} /* mle==-3 arrives here for freeing */
endfree:	/* endfree:*/
free_matrix(prlim,1,nlstate,1,nlstate); /here or after loop ? /	free_matrix(prlim,1,nlstate,1,nlstate); /here or after loop ? /
free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);	free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);	free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);
Line 6453 Interval (in months) between two waves:	Line 7869 Interval (in months) between two waves:
free_matrix(agev,1,maxwav,1,imx);	free_matrix(agev,1,maxwav,1,imx);
free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);	free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);

free_ivector(ncodemax,1,8);	free_ivector(ncodemax,1,NCOVMAX);
free_ivector(Tvar,1,15);	free_ivector(ncodemaxwundef,1,NCOVMAX);
free_ivector(Tprod,1,15);	free_ivector(Tvar,1,NCOVMAX);
free_ivector(Tvaraff,1,15);	free_ivector(Tprod,1,NCOVMAX);
free_ivector(Tage,1,15);	free_ivector(Tvaraff,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 6474 Interval (in months) between two waves:	Line 7891 Interval (in months) between two waves:
}	}
printf("See log file on %s\n",filelog);	printf("See log file on %s\n",filelog);
/* gettimeofday(&end_time, (struct timezone)0);/ /* after time */	/* gettimeofday(&end_time, (struct timezone)0);/ /* after time */
(void) gettimeofday(&end_time,&tzp);	/(void) gettimeofday(&end_time,&tzp);/
tm = *localtime(&end_time.tv_sec);	rend_time = time(NULL);
tmg = *gmtime(&end_time.tv_sec);	end_time = *localtime(&rend_time);
strcpy(strtend,asctime(&tm));	/* tml = localtime(&end_time.tm_sec); /
	strcpy(strtend,asctime(&end_time));
printf("Local time at start %s\nLocal time at end %s",strstart, strtend);	printf("Local time at start %s\nLocal time at end %s",strstart, strtend);
fprintf(ficlog,"Local time at start %s\nLocal time at end %s\n",strstart, strtend);	fprintf(ficlog,"Local time at start %s\nLocal time at end %s\n",strstart, strtend);
printf("Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));	printf("Total time used %s\n", asc_diff_time(rend_time -rstart_time,tmpout));

printf("Total time was %ld Sec.\n", end_time.tv_sec -start_time.tv_sec);	printf("Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time));
fprintf(ficlog,"Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));	fprintf(ficlog,"Total time used %s\n", asc_diff_time(rend_time -rstart_time,tmpout));
fprintf(ficlog,"Total time was %ld Sec.\n", end_time.tv_sec -start_time.tv_sec);	fprintf(ficlog,"Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time));
/* printf("Total time was %d uSec.\n", total_usecs);*/	/* printf("Total time was %d uSec.\n", total_usecs);*/
/* if(fileappend(fichtm,optionfilehtm)){ */	/* if(fileappend(fichtm,optionfilehtm)){ */
fprintf(fichtm,"<br>Local time at start %s<br>Local time at end %s<br>\n</body></html>",strstart, strtend);	fprintf(fichtm,"<br>Local time at start %s<br>Local time at end %s<br>\n</body></html>",strstart, strtend);
Line 6497 Interval (in months) between two waves:	Line 7915 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");
#ifndef UNIX	#ifdef _WIN32
sprintf(plotcmd,"\"%sgnuplot.exe\"",pathimach);	sprintf(plotcmd,"\"%sgnuplot.exe\"",pathimach);
#endif	#endif
if(!stat(plotcmd,&info)){	if(!stat(plotcmd,&info)){
printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);	printf("Error or gnuplot program not found: '%s'\n",plotcmd);fflush(stdout);
if(!stat(getenv("GNUPLOTBIN"),&info)){	if(!stat(getenv("GNUPLOTBIN"),&info)){
printf("Error gnuplot program not found: %s Environment GNUPLOTBIN not set.\n",plotcmd);fflush(stdout);	printf("Error or gnuplot program not found: '%s' Environment GNUPLOTBIN not set.\n",plotcmd);fflush(stdout);
}else	}else
strcpy(pplotcmd,plotcmd);	strcpy(pplotcmd,plotcmd);
#ifdef UNIX	#ifdef __unix
strcpy(plotcmd,GNUPLOTPROGRAM);	strcpy(plotcmd,GNUPLOTPROGRAM);
if(!stat(plotcmd,&info)){	if(!stat(plotcmd,&info)){
printf("Error gnuplot program not found: %s\n",plotcmd);fflush(stdout);	printf("Error gnuplot program not found: '%s'\n",plotcmd);fflush(stdout);
}else	}else
strcpy(pplotcmd,plotcmd);	strcpy(pplotcmd,plotcmd);
#endif	#endif
Line 6523 Interval (in months) between two waves:	Line 7947 Interval (in months) between two waves:
strcpy(pplotcmd,plotcmd);	strcpy(pplotcmd,plotcmd);

sprintf(plotcmd,"%s %s",pplotcmd, optionfilegnuplot);	sprintf(plotcmd,"%s %s",pplotcmd, optionfilegnuplot);
printf("Starting graphs with: %s\n",plotcmd);fflush(stdout);	printf("Starting graphs with: '%s'\n",plotcmd);fflush(stdout);

if((outcmd=system(plotcmd)) != 0){	if((outcmd=system(plotcmd)) != 0){
printf("\n Problem with gnuplot\n");	printf("gnuplot command might not be in your path: '%s', err=%d\n", plotcmd, outcmd);
	printf("\n Trying if gnuplot resides on the same directory that IMaCh\n");
	sprintf(plotcmd,"%sgnuplot %s", pathimach, optionfilegnuplot);
	if((outcmd=system(plotcmd)) != 0)
	printf("\n Still a problem with gnuplot command %s, err=%d\n", plotcmd, outcmd);
}	}
printf(" Wait...");	printf(" Successful, please wait...");
while (z[0] != 'q') {	while (z[0] != 'q') {
/* chdir(path); */	/* chdir(path); */
printf("\nType e to edit output files, g to graph again and q for exiting: ");	printf("\nType e to edit results with your browser, g to graph again and q for exit: ");
scanf("%s",z);	scanf("%s",z);
/* if (z[0] == 'c') system("./imach"); */	/* if (z[0] == 'c') system("./imach"); */
if (z[0] == 'e') {	if (z[0] == 'e') {
printf("Starting browser with: %s",optionfilehtm);fflush(stdout);	#ifdef __APPLE__
system(optionfilehtm);	sprintf(pplotcmd, "open %s", optionfilehtm);
	#elif __linux
	sprintf(pplotcmd, "xdg-open %s", optionfilehtm);
	#else
	sprintf(pplotcmd, "%s", optionfilehtm);
	#endif
	printf("Starting browser with: %s",pplotcmd);fflush(stdout);
	system(pplotcmd);
}	}
else if (z[0] == 'g') system(plotcmd);	else if (z[0] == 'g') system(plotcmd);
else if (z[0] == 'q') exit(0);	else if (z[0] == 'q') exit(0);
}	}
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.1.144
changed lines
	Added in v.1.200