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Diff for /imach/src/imach.c between versions 1.138 and 1.207

version 1.138, 2010/04/30 18:19:40	version 1.207, 2015/10/27 17:36:57
Line 1	Line 1
/* $Id$	/* $Id$
$State$	$State$
$Log$	$Log$
	Revision 1.207 2015/10/27 17:36:57 brouard
	* empty log message *

	Revision 1.206 2015/10/24 07:14:11 brouard
	* empty log message *

	Revision 1.205 2015/10/23 15:50:53 brouard
	Summary: 0.98r3 some clarification for graphs on likelihood contributions

	Revision 1.204 2015/10/01 16:20:26 brouard
	Summary: Some new graphs of contribution to likelihood

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

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

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

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

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

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

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

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

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

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

	Revision 1.196 2015/08/18 23:17:52 brouard
	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 *

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

	Merge, before building revised version.

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

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

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

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

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

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

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

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

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

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

Line 353	Line 636
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 369	Line 664
end	end
*/	*/

	/* #define DEBUG */
	/* #define DEBUGBRENT */
	/* #define DEBUGLINMIN */
	/* #define DEBUGHESS */
	#define DEBUGHESSIJ
	/* #define LINMINORIGINAL /\* Don't use loop on scale in linmin (accepting nan)\/ /
	#define POWELL /* Instead of NLOPT */
	#define 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> */	/* #include <sys/time.h> */
	/* #endif */

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

#ifdef GSL	#ifdef GSL
#include <gsl/gsl_errno.h>	#include <gsl/gsl_errno.h>
#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) */

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

#define GNUPLOTPROGRAM "gnuplot"	#define GNUPLOTPROGRAM "gnuplot"
/#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"/	/#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"/
Line 405 extern int errno;	Line 733 extern int errno;
#define GLOCK_ERROR_NOPATH -1 /* empty path */	#define GLOCK_ERROR_NOPATH -1 /* empty path */
#define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */	#define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */

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

#define NINTERVMAX 8	#define NINTERVMAX 8
#define NLSTATEMAX 8 /* Maximum number of live states (for func) */	#define NLSTATEMAX 8 /*< Maximum number of live states (for func) /
#define NDEATHMAX 8 /* Maximum number of dead states (for func) */	#define NDEATHMAX 8 /*< Maximum number of dead states (for func) /
#define NCOVMAX 20 /* Maximum number of covariates */	#define NCOVMAX 20 /*< Maximum number of covariates, including generated covariates V1V2 */
	#define codtabm(h,k) (1 & (h-1) >> (k-1))+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 0.98m, April 2010, INED-EUROREVES-Institut de longevite ";	char version[]=__IMACH_VERSION__;
	char copyright[]="October 2015,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015";
char fullversion[]="$Revision$ $Date$";	char fullversion[]="$Revision$ $Date$";
char strstart[80];	char strstart[80];
char optionfilext[10], optionfilefiname[FILENAMELENGTH];	char optionfilext[10], optionfilefiname[FILENAMELENGTH];
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 454 int *mw; / mw[mi][i] is number of the	Line 792 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 488 char command[FILENAMELENGTH];	Line 828 char command[FILENAMELENGTH];
int outcmd=0;	int outcmd=0;

char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];	char fileres[FILENAMELENGTH], filerespij[FILENAMELENGTH], filereso[FILENAMELENGTH], rfileres[FILENAMELENGTH];
	char fileresu[FILENAMELENGTH]; /* fileres without r in front */
char filelog[FILENAMELENGTH]; /* Log file */	char filelog[FILENAMELENGTH]; /* Log file */
char filerest[FILENAMELENGTH];	char filerest[FILENAMELENGTH];
char fileregp[FILENAMELENGTH];	char fileregp[FILENAMELENGTH];
Line 496 char popfile[FILENAMELENGTH];	Line 836 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 531 static double maxarg1,maxarg2;	Line 876 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 546 int estepm;	Line 896 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 554 double dateintmean=0;	Line 910 double dateintmean=0;

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

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

/************** split ***********************/	/************** split ***********************/
static int split( char path, char dirc, char name, char ext, char *finame )	static int split( char path, char dirc, char name, char ext, char *finame )
Line 568 static int split( char path, char dirc	Line 932 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 579 static int split( char path, char dirc	Line 943 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*/
printf(" DIRC = %s \n",dirc);	printf(" DIRC = %s \n",dirc);
} else { /* strip direcotry from path */	} else { /* strip directory from path */
ss++; /* after this, the filename */	ss++; /* after this, the filename */
l2 = strlen( ss ); /* length of filename */	l2 = strlen( ss ); /* length of filename */
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 642 char trimbb(char out, char *in)	Line 1010 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 705 int nbocc(char *s, char occ)	Line 1144 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 812 double **matrix(long nrl, long nrh, long	Line 1269 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 902 char subdirf3(char fileres[], char pre	Line 1361 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 922 double f1dim(double x)	Line 1394 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 940 double brent(double ax, double bx, doubl	Line 1418 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 975 double brent(double ax, double bx, doubl	Line 1453 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 998 double brent(double ax, double bx, doubl	Line 1476 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 1052 void linmin(double p[], double xi[], int	Line 1623 void linmin(double p[], double xi[], int
int j;	int j;
double xx,xmin,bx,ax;	double xx,xmin,bx,ax;
double fx,fb,fa;	double fx,fb,fa;

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

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

	#ifdef DEBUGLINMIN
	printf("\nLinmin after mnbrak: ax=%12.7f xx=%12.7f bx=%12.7f fa=%12.2f fx=%12.2f fb=%12.2f\n", ax,xx,bx,fa,fx,fb);
	fprintf(ficlog,"\nLinmin after mnbrak: ax=%12.7f xx=%12.7f bx=%12.7f fa=%12.2f fx=%12.2f fb=%12.2f\n", ax,xx,bx,fa,fx,fb);
	#endif
	fret=brent(ax,xx,bx,f1dim,TOL,&xmin); / Giving a bracketting triplet (ax, xx, bx), find a minimum, xmin, according to f1dim, fret(xmin),/
	/* fa = f(p[j] + ax * xi[j]), fx = f(p[j] + xx * xi[j]), fb = f(p[j] + bx * xi[j]) */
	/* fmin = f(p[j] + xmin * xi[j]) */
	/* P+lambda n in that direction (lambdamin), with TOL between abscisses */
	/* f1dim(xmin): for (j=1;j<=ncom;j++) xt[j]=pcom[j]+xminxicom[j]; /
#ifdef DEBUG	#ifdef DEBUG
printf("retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);	printf("retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);
fprintf(ficlog,"retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);	fprintf(ficlog,"retour brent fret=%.12e xmin=%.12e\n",*fret,xmin);
#endif	#endif
	#ifdef DEBUGLINMIN
	printf("linmin end ");
	fprintf(ficlog,"linmin end ");
	#endif
for (j=1;j<=n;j++) {	for (j=1;j<=n;j++) {
	#ifdef LINMINORIGINAL
xi[j] *= xmin;	xi[j] *= xmin;
p[j] += xi[j];	#else
	#ifdef DEBUGLINMIN
	if(xxs <1.0)
	printf(" before xi[%d]=%12.8f", j,xi[j]);
	#endif
	xi[j] = xminxxs; /* xi rescaled by xmin and number of loops: if xmin=-1.237 and xi=(1,0,...,0) xi=(-1.237,0,...,0) */
	#ifdef DEBUGLINMIN
	if(xxs <1.0)
	printf(" after xi[%d]=%12.8f, xmin=%12.8f, ax=%12.8f, xx=%12.8f, bx=%12.8f, xxs=%12.8f", j,xi[j], xmin, ax, xx, bx,xxs );
	#endif
	#endif
	p[j] += xi[j]; /* Parameters values are updated accordingly */
}	}
	#ifdef DEBUGLINMIN
	printf("\n");
	printf("Comparing last frec(xmin=%12.8f)=%12.8f from Brent and frec(0.)=%12.8f \n", xmin, fret, (*func)(p));
	fprintf(ficlog,"Comparing last frec(xmin=%12.8f)=%12.8f from Brent and frec(0.)=%12.8f \n", xmin, fret, (*func)(p));
	for (j=1;j<=n;j++) {
	printf(" xi[%d]= %14.10f p[%d]= %12.7f",j,xi[j],j,p[j]);
	fprintf(ficlog," xi[%d]= %14.10f p[%d]= %12.7f",j,xi[j],j,p[j]);
	if(j % ncovmodel == 0){
	printf("\n");
	fprintf(ficlog,"\n");
	}
	}
	#else
	#endif
free_vector(xicom,1,n);	free_vector(xicom,1,n);
free_vector(pcom,1,n);	free_vector(pcom,1,n);
}	}

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

/************* powell **********************/	/************* powell **********************/
	/*
	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 1098 void powell(double p[], double **xi, int	Line 1735 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 1108 void powell(double p[], double **xi, int	Line 1746 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 1126 void powell(double p[], double **xi, int	Line 1767 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 1170 void powell(double p[], double **xi, int	Line 1814 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 1207 void powell(double p[], double **xi, int	Line 1866 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 delta 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 (if <0 we include P0 Pn as new direction), t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt,del);
	printf("f1-2f2+f3= %.12lf, f1-f2-del= %.12lf, f1-f3= %.12lf\n",fp-2.0(fret)+fptt, fp -(*fret) -del, fp-fptt);
	fprintf(ficlog,"directest= %.12lf (if <0 we include P0 Pn as new direction), t= %.12lf, f1= %.12lf,f2= %.12lf,f3= %.12lf, del= %.12lf\n",directest, t, fp,(*fret),fptt, del);
	fprintf(ficlog,"f1-2f2+f3= %.12lf, f1-f2-del= %.12lf, f1-f3= %.12lf\n",fp-2.0(fret)+fptt, fp -(*fret) -del, fp-fptt);
	}
	if (directest < 0.0) { /* Then we use it for new direction */
	#endif
	#ifdef DEBUGLINMIN
	printf("Before linmin in direction P%d-P0\n",n);
	for (j=1;j<=n;j++) {
	printf(" Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
	fprintf(ficlog," Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
	if(j % ncovmodel == 0){
	printf("\n");
	fprintf(ficlog,"\n");
	}
	}
	#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]);
	fprintf(ficlog,"After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
	if(j % ncovmodel == 0){
	printf("\n");
	fprintf(ficlog,"\n");
	}
	}
	#endif
for (j=1;j<=n;j++) {	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 1233 void powell(double p[], double **xi, int	Line 1952 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) **************/

double prevalim(double prlim, int nlstate, double x[], double age, double oldm, double savm, double ftolpl, int ij)	double prevalim(double prlim, int nlstate, double x[], double age, double oldm, double savm, double ftolpl, int *ncvyear, int ij)
{	{
/* Computes the prevalence limit in each live state at age x by left multiplying the unit	/* Computes the prevalence limit in each live state at age x by left multiplying the unit
matrix by transitions matrix until convergence is reached */	matrix by transitions matrix until convergence is reached with precision ftolpl */
	/* Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1 = Wx-n Px-n ... Px-2 Px-1 I */
	/* Wx is row vector: population in state 1, population in state 2, population dead */
	/* or prevalence in state 1, prevalence in state 2, 0 */
	/* newm is the matrix after multiplications, its rows are identical at a factor */
	/* Initial matrix pimij */
	/* {0.85204250825084937, 0.13044499163996345, 0.017512500109187184, */
	/* 0.090851990222114765, 0.88271245433047185, 0.026435555447413338, */
	/* 0, 0 , 1} */
	/*
	* and after some iteration: */
	/* {0.45504275246439968, 0.42731458730878791, 0.11764266022681241, */
	/* 0.45201005341706885, 0.42865420071559901, 0.11933574586733192, */
	/* 0, 0 , 1} */
	/* And prevalence by suppressing the deaths are close to identical rows in prlim: */
	/* {0.51571254859325999, 0.4842874514067399, */
	/* 0.51326036147820708, 0.48673963852179264} */
	/* If we start from prlim again, prlim tends to a constant matrix */

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=100 ; /* Max number of years to converge */
	int ncvloop=0;

for (ii=1;ii<=nlstate+ndeath;ii++)	for (ii=1;ii<=nlstate+ndeath;ii++)
for (j=1;j<=nlstate+ndeath;j++){	for (j=1;j<=nlstate+ndeath;j++){
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 */
	/* Start at agefin= age, computes the matrix of passage and loops decreasing agefin until convergence is reached */
for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){	for(agefin=age-stepm/YEARM; agefin>=age-delaymax; agefin=agefin-stepm/YEARM){
	ncvloop++;
newm=savm;	newm=savm;
/* Covariates have to be included here again */	/* Covariates have to be included here again */
cov[2]=agefin;	cov[2]=agefin;
	if(nagesqr==1)
	cov[3]= agefin*agefin;;
for (k=1; k<=cptcovn;k++) {	for (k=1; k<=cptcovn;k++) {
cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]];	/* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */
/* printf("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]);/
out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);	/* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */
	/* out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /\* Bug Valgrind \/ /
	out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* Bug Valgrind */

savm=oldm;	savm=oldm;
oldm=newm;	oldm=newm;
Line 1290 double prevalim(double prlim, int nl	Line 2039 double prevalim(double prlim, int nl
prlim[i][j]= newm[i][j]/(1-sumnew);	prlim[i][j]= newm[i][j]/(1-sumnew);
max=FMAX(max,prlim[i][j]);	max=FMAX(max,prlim[i][j]);
min=FMIN(min,prlim[i][j]);	min=FMIN(min,prlim[i][j]);
	printf(" age= %d prevalim i=%d, j=%d, prmlim[%d][%d]=%f, agefin=%d max=%f min=%f\n", (int)age, i, j, i, j, prlim[i][j],(int)agefin, max, min);
}	}
maxmin=max-min;	maxmin=(max-min)/(max+min)*2;
maxmax=FMAX(maxmax,maxmin);	maxmax=FMAX(maxmax,maxmin);
}	} /* j loop */
	*ncvyear= (int)age- (int)agefin;
	printf("maxmax=%lf maxmin=%lf ncvloop=%d, age=%d, agefin=%d ncvyear=%d \n", maxmax, maxmin, ncvloop, (int)age, (int)agefin, *ncvyear);
if(maxmax < ftolpl){	if(maxmax < ftolpl){
	/* printf("maxmax=%lf maxmin=%lf ncvloop=%ld, age=%d, agefin=%d ncvyear=%d \n", maxmax, maxmin, ncvloop, (int)age, (int)agefin, ncvyear); /
return prlim;	return prlim;
}	}
}	} /* age loop */
	printf("Warning: the stable prevalence at age %d did not converge with the required precision %g > ftolpl=%g. \n\
	Earliest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear);
	/* Try to lower 'ftol', for example from 1.e-8 to 6.e-9.\n", ftolpl, (int)age, (int)delaymax, (int)agefin, ncvloop, (int)age-(int)agefin); */
	return prlim; /* should not reach here */
}	}

/************* transition probabilities *************/	/************* transition probabilities *************/
Line 1319 double pmij(double ps, double *cov,	Line 2076 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 1368 double pmij(double ps, double *cov,	Line 2125 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 1384 double pmij(double ps, double *cov,	Line 2141 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 1420 double *hpxij(double *po, int nhstep	Line 2178 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 1433 double *hpxij(double *po, int nhstep	Line 2192 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 1460 double *hpxij(double *po, int nhstep	Line 2226 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 1472 double func( double *x)	Line 2257 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 1489 double func( double *x)	Line 2278 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 1501 double func( double *x)	Line 2292 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 1555 double func( double *x)	Line 2349 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 1587 double func( double *x)	Line 2400 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 1600 double func( double *x)	Line 2417 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 1621 double func( double *x)	Line 2441 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 1630 double func( double *x)	Line 2450 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 1651 double func( double *x)	Line 2474 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 1660 double func( double *x)	Line 2483 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 1686 double func( double *x)	Line 2512 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 1695 double func( double *x)	Line 2521 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 1733 double funcone( double *x)	Line 2562 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 1744 double funcone( double *x)	Line 2574 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 1753 double funcone( double *x)	Line 2583 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 1792 double funcone( double *x)	Line 2629 double funcone( double *x)
ll[s[mw[mi][i]][i]] += 2weight[i]lli;	ll[s[mw[mi][i]][i]] += 2weight[i]lli;
/printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); /	/printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); /
if(globpr){	if(globpr){
fprintf(ficresilk,"%9d %6d %2d %2d %1d %1d %3d %11.6f %8.4f\	fprintf(ficresilk,"%9ld %6.1f %6d %2d %2d %2d %2d %3d %11.6f %8.4f %8.3f\
%11.6f %11.6f %11.6f ", \	%11.6f %11.6f %11.6f ", \
num[i],i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],	num[i], agexact, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw,
2weight[i]lli,out[s1][s2],savm[s1][s2]);	2weight[i]lli,out[s1][s2],savm[s1][s2]);
for(k=1,llt=0.,l=0.; k<=nlstate; k++){	for(k=1,llt=0.,l=0.; k<=nlstate; k++){
llt +=ll[k]*gipmx/gsw;	llt +=ll[k]*gipmx/gsw;
Line 1826 void likelione(FILE *ficres,double p[],	Line 2663 void likelione(FILE *ficres,double p[],
int k;	int k;

if(globpri !=0){ / Just counts and sums, no printings */	if(globpri !=0){ / Just counts and sums, no printings */
strcpy(fileresilk,"ilk");	strcpy(fileresilk,"ILK_");
strcat(fileresilk,fileres);	strcat(fileresilk,fileresu);
if((ficresilk=fopen(fileresilk,"w"))==NULL) {	if((ficresilk=fopen(fileresilk,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresilk);	printf("Problem with resultfile: %s\n", fileresilk);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk);	fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk);
}	}
fprintf(ficresilk, "#individual(line's_record) s1 s2 wave# effective_wave# number_of_matrices_product pij weight -2ln(pij)weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2llweightXnumber_of_contribs/sum_of_weights) and_total\n");	fprintf(ficresilk, "#individual(line's_record) count age s1 s2 wave# effective_wave# number_of_matrices_product pij weight weight/gpw -2ln(pij)weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2llweightXnumber_of_contribs/sum_of_weights) and_total\n");
fprintf(ficresilk, "#num_i i s1 s2 mi mw dh likeli weight 2wlli out sav ");	fprintf(ficresilk, "#num_i age i s1 s2 mi mw dh likeli weight %%weight 2wlli out sav ");
/* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2weight[i]lli,out[s1][s2],savm[s1][s2]); */	/* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2weight[i]lli,out[s1][s2],savm[s1][s2]); */
for(k=1; k<=nlstate; k++)	for(k=1; k<=nlstate; k++)
fprintf(ficresilk," -2gipw/gswweight*ll[%d]++",k);	fprintf(ficresilk," -2gipw/gswweight*ll[%d]++",k);
Line 1843 void likelione(FILE *ficres,double p[],	Line 2680 void likelione(FILE *ficres,double p[],
fretone=(funcone)(p);	fretone=(funcone)(p);
if(*globpri !=0){	if(*globpri !=0){
fclose(ficresilk);	fclose(ficresilk);
fprintf(fichtm,"\n<br>File of contributions to the likelihood: <a href=\"%s\">%s</a><br>\n",subdirf(fileresilk),subdirf(fileresilk));	if (mle ==0)
fflush(fichtm);	fprintf(fichtm,"\n<br>File of contributions to the likelihood computed with initial parameters and mle = %d.",mle);
}	else if(mle >=1)
	fprintf(fichtm,"\n<br>File of contributions to the likelihood computed with optimized parameters mle = %d.",mle);
	fprintf(fichtm," You should at least run with mle >= 1 to get starting values corresponding to the optimized parameters in order to visualize the real contribution of each individual/wave: <a href=\"%s\">%s</a><br>\n",subdirf(fileresilk),subdirf(fileresilk));

	fprintf(fichtm,"<br>- The function drawn is -2Log(L) in Log scale: by state of origin <a href=\"%s-ori.png\">%s-ori.png</a><br> \
	<img src=\"%s-ori.png\">",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"));
	fprintf(fichtm,"<br>- and by state of destination <a href=\"%s-dest.png\">%s-dest.png</a><br> \
	<img src=\"%s-dest.png\">",subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"),subdirf2(optionfilefiname,"ILK_"));
	fflush(fichtm);

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

Line 1854 void likelione(FILE *ficres,double p[],	Line 2705 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++)
xi[i][j]=(i==j ? 1.0 : 0.0);	xi[i][j]=(i==j ? 1.0 : 0.0);
printf("Powell\n"); fprintf(ficlog,"Powell\n");	printf("Powell\n"); fprintf(ficlog,"Powell\n");
strcpy(filerespow,"pow");	strcpy(filerespow,"POW_");
strcat(filerespow,fileres);	strcat(filerespow,fileres);
if((ficrespow=fopen(filerespow,"w"))==NULL) {	if((ficrespow=fopen(filerespow,"w"))==NULL) {
printf("Problem with resultfile: %s\n", filerespow);	printf("Problem with resultfile: %s\n", filerespow);
Line 1875 void mlikeli(FILE *ficres,double p[], in	Line 2738 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("\n#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,"\n#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));

}	}

/** Computes Hessian and covariance matrix */	/** Computes Hessian and covariance matrix */
void hesscov(double *matcov, double p[], int npar, double delti[], double ftolhess, double (func)(double []))	void hesscov(double matcov, double hess, double p[], int npar, double delti[], double ftolhess, double (*func)(double []))
{	{
double a,y,*x,pd;	double a,y,*x,pd;
double **hess;	/* double *hess; /
int i, j,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);
double hessij(double p[], double delti[], int i, int j,double (*func)(double []),int npar);	double hessij(double p[], double *hess, double delti[], int i, int j,double (func)(double []),int npar);
void lubksb(double *a, int npar, int indx, double b[]) ;	void lubksb(double *a, int npar, int indx, double b[]) ;
void ludcmp(double *a, int npar, int indx, double *d) ;	void ludcmp(double *a, int npar, int indx, double *d) ;
double gompertz(double p[]);	double gompertz(double p[]);
hess=matrix(1,npar,1,npar);	/* hess=matrix(1,npar,1,npar); */

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

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

Line 1916 void hesscov(double **matcov, double p[]	Line 2806 void hesscov(double **matcov, double p[]
for (i=1;i<=npar;i++) {	for (i=1;i<=npar;i++) {
for (j=1;j<=npar;j++) {	for (j=1;j<=npar;j++) {
if (j>i) {	if (j>i) {
printf(".%d%d",i,j);fflush(stdout);	printf(".%d-%d",i,j);fflush(stdout);
fprintf(ficlog,".%d%d",i,j);fflush(ficlog);	fprintf(ficlog,".%d-%d",i,j);fflush(ficlog);
hess[i][j]=hessij(p,delti,i,j,func,npar);	hess[i][j]=hessij(p,hess, delti,i,j,func,npar);

hess[j][i]=hess[i][j];	hess[j][i]=hess[i][j];
/printf(" %lf ",hess[i][j]);/	/printf(" %lf ",hess[i][j]);/
Line 1952 void hesscov(double **matcov, double p[]	Line 2842 void hesscov(double **matcov, double p[]
fprintf(ficlog,"\n#Hessian matrix#\n");	fprintf(ficlog,"\n#Hessian matrix#\n");
for (i=1;i<=npar;i++) {	for (i=1;i<=npar;i++) {
for (j=1;j<=npar;j++) {	for (j=1;j<=npar;j++) {
printf("%.3e ",hess[i][j]);	printf("%.6e ",hess[i][j]);
fprintf(ficlog,"%.3e ",hess[i][j]);	fprintf(ficlog,"%.6e ",hess[i][j]);
}	}
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
}	}

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

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

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

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

	/* Verifying the inverse matrix */
	#ifdef DEBUGHESS
	y=matprod2(y,hess,1,npar,1,npar,1,npar,matcov);

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

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

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


}	}

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

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; */
res= (k1+k2)/delt/delt/2.; /* Divided by because L and not 2L /	res= (k1+k2)/delt/delt/2.; /* Divided by 2 because L and not 2L /

#ifdef DEBUGHESS	#ifdef DEBUGHESSII
printf("%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);	printf("%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);
fprintf(ficlog,"%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);	fprintf(ficlog,"%d %d k1=%.12e k2=%.12e xk1=%.12e xk2=%.12e delt=%.12e res=%.12e l=%d k=%d,fx=%.12e\n",theta,theta,k1,k2,x[theta]+delt,x[theta]-delt,delt,res, l, k,fx);
#endif	#endif
Line 2025 double hessii(double x[], double delta,	Line 2940 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;
}	}
}	} /* End loop k */
}	}
delti[theta]=delts;	delti[theta]=delts;
return res;	return res;

}	}

double hessij( double x[], double delti[], int thetai,int thetaj,double (*func)(double []),int npar)	double hessij( double x[], double *hess, double delti[], int thetai,int thetaj,double (func)(double []),int npar)
{	{
int i;	int i;
int l=1, 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, kmax=1;
	double v1, v2, cv12, lc1, lc2;

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

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

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

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

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

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

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

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

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


/************ Inverse of matrix ************/	/************ Inverse of matrix ************/
void ludcmp(double *a, int n, int indx, double *d)	void ludcmp(double *a, int n, int indx, double *d)
{	{
Line 2148 void lubksb(double *a, int n, int indx	Line 3137 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 2164 void freqsummary(char fileres[], int ia	Line 3153 void freqsummary(char fileres[], int ia

pp=vector(1,nlstate);	pp=vector(1,nlstate);
prop=matrix(1,nlstate,iagemin,iagemax+3);	prop=matrix(1,nlstate,iagemin,iagemax+3);
strcpy(fileresp,"p");	strcpy(fileresp,"P_");
strcat(fileresp,fileres);	strcat(fileresp,fileresu);
if((ficresp=fopen(fileresp,"w"))==NULL) {	if((ficresp=fopen(fileresp,"w"))==NULL) {
printf("Problem with prevalence resultfile: %s\n", fileresp);	printf("Problem with prevalence resultfile: %s\n", fileresp);
fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);	fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);
Line 2179 void freqsummary(char fileres[], int ia	Line 3168 void freqsummary(char fileres[], int ia

first=1;	first=1;

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

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

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

if (bool==1){	if (bool==1){
for(m=firstpass; m<=lastpass; m++){	for(m=firstpass; m<=lastpass; m++){
k2=anint[m][i]+(mint[m][i]/12.);	k2=anint[m][i]+(mint[m][i]/12.);
Line 2221 void freqsummary(char fileres[], int ia	Line 3218 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 ");
	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
	fprintf(ficlog, "**********\n#");
}	}
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);	fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i);
Line 2305 void freqsummary(char fileres[], int ia	Line 3305 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 2324 void prevalence(double ***probs, double	Line 3324 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 2338 void prevalence(double ***probs, double	Line 3339 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 2353 void prevalence(double ***probs, double	Line 3355 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 2373 void prevalence(double ***probs, double	Line 3375 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 2413 void concatwav(int wav[], int **dh, int	Line 3418 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 2534 void concatwav(int wav[], int **dh, int	Line 3539 void concatwav(int wav[], int **dh, int
}	}
jmean=sum/k;	jmean=sum/k;
printf("Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f\n\n ",jmin, num[ijmin], jmax, num[ijmax], jmean);	printf("Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f\n\n ",jmin, num[ijmin], jmax, num[ijmax], jmean);
fprintf(ficlog,"Delay (in months) between two waves Min=%d (for indiviudal %ld) Max=%d (%ld) Mean=%f\n\n ",jmin, ijmin, jmax, ijmax, jmean);	fprintf(ficlog,"Delay (in months) between two waves Min=%d (for indiviudal %d) Max=%d (%d) Mean=%f\n\n ",jmin, ijmin, jmax, ijmax, jmean);
}	}

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

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


cptcoveff=0;	cptcoveff=0;

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

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 simple covariates/	cptcoveff=ij; /Number of total covariates/

}	}


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

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

{	{
/* 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 2925 void cvevsij(double ***eij, double x[],	Line 3993 void cvevsij(double ***eij, double x[],
}	}

/********** Variance ****************/	/********** Variance ****************/
void varevsij(char optionfilefiname[], double *vareij, double matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double oldm, double savm, double **prlim, double ftolpl, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[])	void varevsij(char optionfilefiname[], double *vareij, double matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double oldm, double savm, double *prlim, double ftolpl, int ncvyear, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[])
{	{
/* Variance of health expectancies */	/* Variance of health expectancies */
/* double prevalim(double prlim, int nlstate, double xp, double age, double oldm, double * savm,double ftolpl);*/	/* double prevalim(double prlim, int nlstate, double xp, double age, double oldm, double * savm,double ftolpl);*/
/* 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 2951 void varevsij(char optionfilefiname[], d	Line 4022 void varevsij(char optionfilefiname[], d

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

if (mobilav!=0) {	if (mobilav!=0) {
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
Line 2965 void varevsij(char optionfilefiname[], d	Line 4036 void varevsij(char optionfilefiname[], d
}	}
}	}

strcpy(fileresprobmorprev,"prmorprev");	strcpy(fileresprobmorprev,"PRMORPREV-");
sprintf(digit,"%-d",ij);	sprintf(digit,"%-d",ij);
/printf("DIGIT=%s, ij=%d ijr=%-d\|\n",digit, ij,ij);/	/printf("DIGIT=%s, ij=%d ijr=%-d\|\n",digit, ij,ij);/
strcat(fileresprobmorprev,digit); /* Tvar to be done */	strcat(fileresprobmorprev,digit); /* Tvar to be done */
strcat(fileresprobmorprev,digitp); /* Popbased or not, mobilav or not */	strcat(fileresprobmorprev,digitp); /* Popbased or not, mobilav or not */
strcat(fileresprobmorprev,fileres);	strcat(fileresprobmorprev,fileresu);
if((ficresprobmorprev=fopen(fileresprobmorprev,"w"))==NULL) {	if((ficresprobmorprev=fopen(fileresprobmorprev,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresprobmorprev);	printf("Problem with resultfile: %s\n", fileresprobmorprev);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobmorprev);	fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobmorprev);
Line 2988 void varevsij(char optionfilefiname[], d	Line 4059 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 3047 void varevsij(char optionfilefiname[], d	Line 4119 void varevsij(char optionfilefiname[], d
xp[i] = x[i] + (i==theta ?delti[theta]:0);	xp[i] = x[i] + (i==theta ?delti[theta]:0);
}	}
hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);	hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);	prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyear,ij);

if (popbased==1) {	if (popbased==1) {
if(mobilav ==0){	if(mobilav ==0){
Line 3078 void varevsij(char optionfilefiname[], d	Line 4150 void varevsij(char optionfilefiname[], d
for(i=1; i<=npar; i++) /* Computes gradient x - delta */	for(i=1; i<=npar; i++) /* Computes gradient x - delta */
xp[i] = x[i] - (i==theta ?delti[theta]:0);	xp[i] = x[i] - (i==theta ?delti[theta]:0);
hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);	hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);	prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyear, ij);

if (popbased==1) {	if (popbased==1) {
if(mobilav ==0){	if(mobilav ==0){
Line 3153 void varevsij(char optionfilefiname[], d	Line 4225 void varevsij(char optionfilefiname[], d
/* end ppptj */	/* end ppptj */
/* x centered again */	/* x centered again */
hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);	hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);
prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ij);	prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ncvyear,ij);

if (popbased==1) {	if (popbased==1) {
if(mobilav ==0){	if(mobilav ==0){
Line 3200 void varevsij(char optionfilefiname[], d	Line 4272 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 1 ",subdirf(fileresprobmorprev));	fprintf(ficgp,"\n plot \"%s\" u 1:($3) not w l lt 1 ",subdirf(fileresprobmorprev));
fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95\%% interval\" w l 2 ",subdirf(fileresprobmorprev));	fprintf(ficgp,"\n replot \"%s\" u 1:(($3+1.96*$4)) t \"95%% interval\" w l lt 2 ",subdirf(fileresprobmorprev));
fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l 2 ",subdirf(fileresprobmorprev));	fprintf(ficgp,"\n replot \"%s\" u 1:(($3-1.96*$4)) not w l lt 2 ",subdirf(fileresprobmorprev));
fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));	fprintf(fichtm,"\n<br> File (multiple files are possible if covariates are present): <A href=\"%s\">%s</a>\n",subdirf(fileresprobmorprev),subdirf(fileresprobmorprev));
fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.png\"> <br>\n", estepm,subdirf3(optionfilefiname,"varmuptjgr",digitp),digit);	fprintf(fichtm,"\n<br> Probability is computed over estepm=%d months. <br> <img src=\"%s%s.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 3229 void varevsij(char optionfilefiname[], d	Line 4303 void varevsij(char optionfilefiname[], d
} /* end varevsij */	} /* end varevsij */

/********** Variance of prevlim ****************/	/********** Variance of prevlim ****************/
void varprevlim(char fileres[], double varpl, double matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double oldm, double savm, double **prlim, double ftolpl, int ij, char strstart[])	void varprevlim(char fileres[], double varpl, double matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double oldm, double savm, double *prlim, double ftolpl, int ncvyear, int ij, char strstart[])
{	{
/* Variance of prevalence limit */	/* Variance of prevalence limit for each state ij using current parameters x[] and estimates of neighbourhood give by delti*/
/* 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 3269 void varprevlim(char fileres[], double *	Line 4342 void varprevlim(char fileres[], double *
for(i=1; i<=npar; i++){ /* Computes gradient */	for(i=1; i<=npar; i++){ /* Computes gradient */
xp[i] = x[i] + (i==theta ?delti[theta]:0);	xp[i] = x[i] + (i==theta ?delti[theta]:0);
}	}
prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ij);	prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyear,ij);
for(i=1;i<=nlstate;i++)	for(i=1;i<=nlstate;i++)
gp[i] = prlim[i][i];	gp[i] = prlim[i][i];

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

Line 3291 void varprevlim(char fileres[], double *	Line 4364 void varprevlim(char fileres[], double *

for(i=1;i<=nlstate;i++)	for(i=1;i<=nlstate;i++)
varpl[i][(int)age] =0.;	varpl[i][(int)age] =0.;
	if((int)age==67 \|\|(int)age== 66 ){
	matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov);
	matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg);
	}else{
matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov);	matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov);
matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg);	matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg);
	}
for(i=1;i<=nlstate;i++)	for(i=1;i<=nlstate;i++)
varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */	varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */

Line 3315 void varprevlim(char fileres[], double *	Line 4393 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_");
strcat(fileresprob,fileres);	strcat(fileresprob,fileres);
if((ficresprob=fopen(fileresprob,"w"))==NULL) {	if((ficresprob=fopen(fileresprob,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresprob);	printf("Problem with resultfile: %s\n", fileresprob);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob);	fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob);
}	}
strcpy(fileresprobcov,"probcov");	strcpy(fileresprobcov,"PROBCOV_");
strcat(fileresprobcov,fileres);	strcat(fileresprobcov,fileresu);
if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) {	if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresprobcov);	printf("Problem with resultfile: %s\n", fileresprobcov);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov);	fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov);
}	}
strcpy(fileresprobcor,"probcor");	strcpy(fileresprobcor,"PROBCOR_");
strcat(fileresprobcor,fileres);	strcat(fileresprobcor,fileresu);
if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) {	if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) {
printf("Problem with resultfile: %s\n", fileresprobcor);	printf("Problem with resultfile: %s\n", fileresprobcor);
fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor);	fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor);
Line 3389 void varprob(char optionfilefiname[], do	Line 4466 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 3404 standard deviations wide on each axis. <	Line 4480 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 3482 To be simple, these graphs help to under	Line 4568 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 3519 To be simple, these graphs help to under	Line 4601 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 3542 To be simple, these graphs help to under	Line 4629 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 3564 To be simple, these graphs help to under	Line 4651 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 3587 To be simple, these graphs help to under	Line 4677 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 3614 To be simple, these graphs help to under	Line 4705 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 3636 To be simple, these graphs help to under	Line 4727 To be simple, these graphs help to under


/***************** Printing html file *********/	/***************** Printing html file *********/
void printinghtml(char fileres[], char title[], char datafile[], int firstpass, \	void printinghtml(char fileresu[], char title[], char datafile[], int firstpass, \
int lastpass, int stepm, int weightopt, char model[],\	int lastpass, int stepm, int weightopt, char model[],\
int imx,int jmin, int jmax, double jmeanint,char rfileres[],\	int imx,int jmin, int jmax, double jmeanint,char rfileres[],\
int popforecast, int estepm ,\	int popforecast, int estepm ,\
Line 3649 void printinghtml(char fileres[], char t	Line 4740 void printinghtml(char fileres[], char t
</ul>");	</ul>");
fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n \	fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n \
- Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> <br>\n ",	- Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> <br>\n ",
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileres,"p"),subdirf2(fileres,"p"));	jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileresu,"P_"),subdirf2(fileresu,"P_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- Estimated transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ",	- Estimated transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ",
stepm,subdirf2(fileres,"pij"),subdirf2(fileres,"pij"));	stepm,subdirf2(fileresu,"PIJ_"),subdirf2(fileresu,"PIJ_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- Period (stable) prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",	- Period (stable) prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",
subdirf2(fileres,"pl"),subdirf2(fileres,"pl"));	subdirf2(fileresu,"PL_"),subdirf2(fileresu,"PL_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- (a) Life expectancies by health status at initial age, ei. (b) health expectancies by health status at initial age, eij . If one or more covariates are included, specific tables for each value of the covariate are output in sequences within the same file (estepm=%2d months): \	- (a) Life expectancies by health status at initial age, ei. (b) health expectancies by health status at initial age, eij . If one or more covariates are included, specific tables for each value of the covariate are output in sequences within the same file (estepm=%2d months): \
<a href=\"%s\">%s</a> <br>\n",	<a href=\"%s\">%s</a> <br>\n",
estepm,subdirf2(fileres,"e"),subdirf2(fileres,"e"));	estepm,subdirf2(fileresu,"E_"),subdirf2(fileresu,"E_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
- Population projections by age and states: \	- Population projections by age and states: \
<a href=\"%s\">%s</a> <br>\n</li>", subdirf2(fileres,"f"),subdirf2(fileres,"f"));	<a href=\"%s\">%s</a> <br>\n</li>", subdirf2(fileresu,"F_"),subdirf2(fileresu,"F_"));

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

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\">");
}	}
	/* aij, bij */
	fprintf(fichtm,"<br>- Logit model, for example: logit(pij)=log(pij/pii)= aij+ bij age + V1 age + etc. as a function of age: <a href=\"%s_%d-1.svg\">%s_%d-1.svg</a><br> \
	<img src=\"%s_%d-1.svg\">",subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1);
/* Pij */	/* Pij */
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s%d1.png\">%s%d1.png</a><br> \	fprintf(fichtm,"<br>\n- Pij or conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s_%d-2.svg\">%s_%d-2.svg</a><br> \
<img src=\"%s%d1.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);	<img src=\"%s_%d-2.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1);
/* Quasi-incidences */	/* Quasi-incidences */
fprintf(fichtm,"<br>- Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\	fprintf(fichtm,"<br>\n- Iij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\
before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: <a href=\"%s%d2.png\">%s%d2.png</a><br> \	before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too,\
<img src=\"%s%d2.png\">",stepm,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1,subdirf2(optionfilefiname,"pe"),jj1);	incidence (rates) are the limit when h tends to zero of the ratio of the probability hPij \
/* Period (stable) prevalence in each health state */	divided by h: hPij/h : <a href=\"%s_%d-3.svg\">%s_%d-3.svg</a><br> \
for(cpt=1; cpt<nlstate;cpt++){	<img src=\"%s_%d-3.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1);
fprintf(fichtm,"<br>- Period (stable) prevalence in each health state : <a href=\"%s%d%d.png\">%s%d%d.png</a><br> \	/* Survival functions (period) in state j */
<img src=\"%s%d%d.png\">",subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1,subdirf2(optionfilefiname,"p"),cpt,jj1);	for(cpt=1; cpt<=nlstate;cpt++){
}	fprintf(fichtm,"<br>\n- Survival functions in state %d. Or probability to survive in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \
	<img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1);
	}
	/* State specific survival functions (period) */
	for(cpt=1; cpt<=nlstate;cpt++){
	fprintf(fichtm,"<br>\n- Survival functions from state %d in any different live states and total.\
	Or probability to survive in various states (1 to %d) being in state %d at different ages.\
	<a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> <img src=\"%s_%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1);
	}
	/* Period (stable) prevalence in each health state */
	for(cpt=1; cpt<=nlstate;cpt++){
	fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \
	<img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1);
	}
for(cpt=1; cpt<=nlstate;cpt++) {	for(cpt=1; cpt<=nlstate;cpt++) {
fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies : <a href=\"%s%d%d.png\">%s%d%d.png</a> <br> \	fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) (or area under each survival functions): <a href=\"%s_%d%d.svg\">%s_%d%d.svg</a> <br> \
<img src=\"%s%d%d.png\">",cpt,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1,subdirf2(optionfilefiname,"exp"),cpt,jj1);	<img src=\"%s_%d%d.svg\">",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1);
}	}
} /* end i1 */	/* } /\* end i1 \/ /
}/* End k1 */	}/* End k1 */
fprintf(fichtm,"</ul>");	fprintf(fichtm,"</ul>");


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

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

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

/* if(popforecast==1) fprintf(fichtm,"\n */	/* if(popforecast==1) fprintf(fichtm,"\n */
/* - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n */	/* - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n */
Line 3740 fprintf(fichtm," \n<ul><li><b>Graphs</b>	Line 4856 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): <a href=\"%s_%d%d.svg\"> %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,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: <a href=\"%s_%d.svg\">%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,subdirf2(optionfilefiname,"E_"),jj1);
} /* end i1 */	/* } /\* end i1 \/ /
}/* End k1 */	}/* End k1 */
fprintf(fichtm,"</ul>");	fprintf(fichtm,"</ul>");
fflush(fichtm);	fflush(fichtm);
}	}

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

char dirfileres[132],optfileres[132];	char dirfileres[132],optfileres[132];
int 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;
	int vpopbased;
/* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */	/* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */
/* printf("Problem with file %s",optionfilegnuplot); */	/* printf("Problem with file %s",optionfilegnuplot); */
/* fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */	/* fprintf(ficlog,"Problem with file %s",optionfilegnuplot); */
Line 3786 void printinggnuplot(char fileres[], cha	Line 4903 void printinggnuplot(char fileres[], cha
/#endif /	/#endif /
m=pow(2,cptcoveff);	m=pow(2,cptcoveff);

	/* Contribution to likelihood */
	/* Plot the probability implied in the likelihood */
	fprintf(ficgp,"\n# Contributions to the Likelihood, mle >=1. For mle=4 no interpolation, pure matrix products.\n#\n");
	fprintf(ficgp,"\n set log y; unset log x;set xlabel \"Age\"; set ylabel \"Likelihood (-2Log(L))\";");
	/* fprintf(ficgp,"\nset ter svg size 640, 480"); / / Too big for svg */
	fprintf(ficgp,"\nset ter pngcairo size 640, 480");
	/* nice for mle=4 plot by number of matrix products.
	replot "rrtest1/toto.txt" u 2:($4 == 1 && $5==2 ? $9 : 1/0):5 t "p12" with point lc 1 */
	/* replot exp(p1+p2x)/(1+exp(p1+p2x)+exp(p3+p4x)+exp(p5+p6x)) t "p12(x)" */
	/* fprintf(ficgp,"\nset out \"%s.svg\";",subdirf2(optionfilefiname,"ILK_")); */
	fprintf(ficgp,"\nset out \"%s-dest.png\";",subdirf2(optionfilefiname,"ILK_"));
	fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$12):5 t \"All sample, transitions colored by destination\" with dots lc variable; set out;\n",subdirf(fileresilk));
	fprintf(ficgp,"\nset out \"%s-ori.png\";",subdirf2(optionfilefiname,"ILK_"));
	fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$12):4 t \"All sample, transitions colored by origin\" with dots lc variable; set out;\n\n",subdirf(fileresilk));
	for (i=1; i<= nlstate ; i ++) {
	fprintf(ficgp,"\nset out \"%s-p%dj.png\";set ylabel \"Probability for each individual/wave\";",subdirf2(optionfilefiname,"ILK_"),i);
	fprintf(ficgp,"unset log;\n# plot weighted, mean weight should have point size of 0.5\n plot \"%s\"",subdirf(fileresilk));
	fprintf(ficgp," u 2:($4 == %d && $5==%d ? $9 : 1/0):($11/4.):5 t \"p%d%d\" with points pointtype 7 ps variable lc variable \\\n",i,1,i,1);
	for (j=2; j<= nlstate+ndeath ; j ++) {
	fprintf(ficgp,",\\\n \"\" u 2:($4 == %d && $5==%d ? $9 : 1/0):($11/4.):5 t \"p%d%d\" with points pointtype 7 ps variable lc variable ",i,j,i,j);
	}
	fprintf(ficgp,";\nset out; unset ylabel;\n");
	}
	/* unset log; plot "rrtest1_sorted_4/ILK_rrtest1_sorted_4.txt" u 2:($4 == 1 && $5==2 ? $9 : 1/0):5 t "p12" with points lc variable */
	/* fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$11):3 t \"All sample, all transitions\" with dots lc variable",subdirf(fileresilk)); */
	/* fprintf(ficgp,"\nreplot \"%s\" u 2:($3 <= 3 ? -$11 : 1/0):3 t \"First 3 individuals\" with line lc variable", subdirf(fileresilk)); */
	fprintf(ficgp,"\nset out;unset log\n");
	/* fprintf(ficgp,"\nset out \"%s.svg\"; replot; set out; # bug gnuplot",subdirf2(optionfilefiname,"ILK_")); */

strcpy(dirfileres,optionfilefiname);	strcpy(dirfileres,optionfilefiname);
strcpy(optfileres,"vpl");	strcpy(optfileres,"vpl");
/* 1eme*/	/* 1eme*/
	fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'VPL_' files\n");
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(fileresu,"VPL_"),k1-1,k1-1);
plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,subdirf2(fileres,"vpl"),k1-1,k1-1);

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

for (k1=1; k1<= m ; k1 ++) {	for (k1=1; k1<= m ; k1 ++) {
for (cpt=1; cpt<= nlstate ; cpt ++) {	for (cpt=1; cpt<= nlstate ; cpt ++) {
/* k=2+nlstate(2cpt-2); */	/* k=2+nlstate(2cpt-2); */
k=2+(nlstate+1)*(cpt-1);	k=2+(nlstate+1)*(cpt-1);
fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"exp"),cpt,k1);	fprintf(ficgp,"\nset out \"%s_%d%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1);
fprintf(ficgp,"set ter png small\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(fileresu,"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) ");
fprintf(ficgp,"\" t \"e%d1\" w l",cpt);	fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
Line 3866 plot [%.f:%.f] \"%s\" every :::%d::%d u	Line 5016 plot [%.f:%.f] \"%s\" every :::%d::%d u

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

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

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

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

	/* CV preval stable (period) for each covariate */
	for (k1=1; k1<= m ; k1 ++) { /* For each covariate if any */
	for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
	k=3;
	fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, cov=%d state=%d",k1, cpt);
	fprintf(ficgp,"\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(fileresu,"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/($%d",k1,k+l+(cpt-1),k+l);
for (i=1; i< nlstate ; i ++) {	for (j=2; j<= nlstate ; j ++)
l=3+(nlstate+ndeath)*cpt;	fprintf(ficgp,"+$%d",k+l+j-1);
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,"\nset out\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");

for(ng=1; ng<=2;ng++){ /* Number of graphics: first is probabilities second is incidence per year*/	/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<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/
	fprintf(ficgp,"# ng=%d\n",ng);
	fprintf(ficgp,"# jk=1 to 2^%d=%d\n",cptcoveff,m);
for(jk=1; jk <=m; jk++) {	for(jk=1; jk <=m; jk++) {
fprintf(ficgp,"\nset out \"%s%d%d.png\" \n",subdirf2(optionfilefiname,"pe"),jk,ng);	fprintf(ficgp,"# jk=%d\n",jk);
if (ng==2)	fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),jk,ng);
	fprintf(ficgp,"\nset ter svg size 640, 480 ");
	if (ng==1){
	fprintf(ficgp,"\nset ylabel \"Value of the logit of the model\"\n"); /* exp(a12+b12x) could be nice /
	fprintf(ficgp,"\nunset log y");
	}else if (ng==2){
	fprintf(ficgp,"\nset ylabel \"Probability\"\n");
	fprintf(ficgp,"\nset log y");
	}else if (ng==3){
fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");	fprintf(ficgp,"\nset ylabel \"Quasi-incidence per year\"\n");
else	fprintf(ficgp,"\nset log y");
fprintf(ficgp,"\nset title \"Probability\"\n");	}else
fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65\nset log y\nplot [%.f:%.f] ",ageminpar,agemaxpar);	fprintf(ficgp,"\nunset title ");
	fprintf(ficgp,"\nplot [%.f:%.f] ",ageminpar,agemaxpar);
i=1;	i=1;
for(k2=1; k2<=nlstate; k2++) {	for(k2=1; k2<=nlstate; k2++) {
k3=i;	k3=i;
for(k=1; k<=(nlstate+ndeath); k++) {	for(k=1; k<=(nlstate+ndeath); k++) {
if (k != k2){	if (k != k2){
if(ng==2)	switch( ng) {
fprintf(ficgp," %fexp(p%d+p%dx",YEARM/stepm,i,i+1);	case 1:
else	if(nagesqr==0)
fprintf(ficgp," exp(p%d+p%d*x",i,i+1);	fprintf(ficgp," p%d+p%d*x",i,i+1);
ij=1;	else /* nagesqr =1 */
for(j=3; j <=ncovmodel; j++) {	fprintf(ficgp," p%d+p%dx+p%dx*x",i,i+1,i+1+nagesqr);
if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {	break;
fprintf(ficgp,"+p%d%dx",i+j-1,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);	case 2: /* ng=2 */
ij++;	if(nagesqr==0)
	fprintf(ficgp," exp(p%d+p%d*x",i,i+1);
	else /* nagesqr =1 */
	fprintf(ficgp," exp(p%d+p%dx+p%dx*x",i,i+1,i+1+nagesqr);
	break;
	case 3:
	if(nagesqr==0)
	fprintf(ficgp," %fexp(p%d+p%dx",YEARM/stepm,i,i+1);
	else /* nagesqr =1 */
	fprintf(ficgp," %fexp(p%d+p%dx+p%dxx",YEARM/stepm,i,i+1,i+1+nagesqr);
	break;
	}
	ij=1;/* To be checked else nbcode[0][0] wrong */
	for(j=3; j <=ncovmodel-nagesqr; j++) {
	/* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */
	if(ij <=cptcovage) { /* Bug valgrind */
	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");	if(ng != 1){
	fprintf(ficgp,")/(1");

for(k1=1; k1 <=nlstate; k1++){	for(k1=1; k1 <=nlstate; k1++){
fprintf(ficgp,"+exp(p%d+p%dx",k3+(k1-1)ncovmodel,k3+(k1-1)*ncovmodel+1);	if(nagesqr==0)
ij=1;	fprintf(ficgp,"+exp(p%d+p%dx",k3+(k1-1)ncovmodel,k3+(k1-1)*ncovmodel+1);
for(j=3; j <=ncovmodel; j++){	else /* nagesqr =1 */
if(((j-2)==Tage[ij]) &&(ij <=cptcovage)) {	fprintf(ficgp,"+exp(p%d+p%dx+p%dxx",k3+(k1-1)ncovmodel,k3+(k1-1)ncovmodel+1,k3+(k1-1)ncovmodel+1+nagesqr);
fprintf(ficgp,"+p%d%dx",k3+(k1-1)*ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][Tvar[j-2]]]);
ij++;	ij=1;
	for(j=3; j <=ncovmodel-nagesqr; j++){
	if(ij <=cptcovage) { /* Bug valgrind */
	if((j-2)==Tage[ij]) { /* Bug valgrind */
	fprintf(ficgp,"+p%d%dx",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
	/* fprintf(ficgp,"+p%d%dx",k3+(k1-1)ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,Tvar[j-2])]); /
	ij++;
	}
	}
	else
	fprintf(ficgp,"+p%d%d",k3+(k1-1)ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
}	}
else	fprintf(ficgp,")");
fprintf(ficgp,"+p%d%d",k3+(k1-1)ncovmodel+1+j-2,nbcode[Tvar[j-2]][codtab[jk][j-2]]);
}	}
fprintf(ficgp,")");	fprintf(ficgp,")");
	if(ng ==2)
	fprintf(ficgp," t \"p%d%d\" ", k2,k);
	else /* ng= 3 */
	fprintf(ficgp," t \"i%d%d\" ", k2,k);
	}else{ /* end ng <> 1 */
	fprintf(ficgp," t \"logit(p%d%d)\" ", k2,k);
}	}
fprintf(ficgp,") t \"p%d%d\" ", k2,k);
if ((k+k2)!= (nlstate*2+ndeath)) fprintf(ficgp,",");	if ((k+k2)!= (nlstate*2+ndeath)) fprintf(ficgp,",");
i=i+ncovmodel;	i=i+ncovmodel;
}	}
} /* end k */	} /* end k */
} /* end k2 */	} /* end k2 */
	fprintf(ficgp,"\n set out\n");
} /* end jk */	} /* end jk */
} /* end ng */	} /* end ng */
	/* avoid: */
fflush(ficgp);	fflush(ficgp);
} /* end gnuplot */	} /* end gnuplot */

Line 4007 int movingaverage(double ***probs, doubl	Line 5284 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 4025 prevforecast(char fileres[], double anpr	Line 5301 prevforecast(char fileres[], double anpr
agelim=AGESUP;	agelim=AGESUP;
prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);	prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);

strcpy(fileresf,"f");	strcpy(fileresf,"F_");
strcat(fileresf,fileres);	strcat(fileresf,fileresu);
if((ficresf=fopen(fileresf,"w"))==NULL) {	if((ficresf=fopen(fileresf,"w"))==NULL) {
printf("Problem with forecast resultfile: %s\n", fileresf);	printf("Problem with forecast resultfile: %s\n", fileresf);
fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf);	fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf);
Line 4075 prevforecast(char fileres[], double anpr	Line 5351 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 4099 prevforecast(char fileres[], double anpr	Line 5375 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 4131 prevforecast(char fileres[], double anpr	Line 5407 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 4149 populforecast(char fileres[], double anp	Line 5425 populforecast(char fileres[], double anp
prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);	prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);


strcpy(filerespop,"pop");	strcpy(filerespop,"POP_");
strcat(filerespop,fileres);	strcat(filerespop,fileresu);
if((ficrespop=fopen(filerespop,"w"))==NULL) {	if((ficrespop=fopen(filerespop,"w"))==NULL) {
printf("Problem with forecast resultfile: %s\n", filerespop);	printf("Problem with forecast resultfile: %s\n", filerespop);
fprintf(ficlog,"Problem with forecast resultfile: %s\n", filerespop);	fprintf(ficlog,"Problem with forecast resultfile: %s\n", filerespop);
Line 4197 populforecast(char fileres[], double anp	Line 5473 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 4308 void prwizard(int ncovmodel, int nlstate	Line 5584 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 4503 double gompertz_f(const gsl_vector *v, v	Line 5779 double gompertz_f(const gsl_vector *v, v
#endif	#endif

/***************** Printing html file *********/	/***************** Printing html file *********/
void printinghtmlmort(char fileres[], char title[], char datafile[], int firstpass, \	void printinghtmlmort(char fileresu[], char title[], char datafile[], int firstpass, \
int lastpass, int stepm, int weightopt, char model[],\	int lastpass, int stepm, int weightopt, char model[],\
int imx, double p[],double **matcov,double agemortsup){	int imx, double p[],double **matcov,double agemortsup){
int i,k;	int i,k;
Line 4512 void printinghtmlmort(char fileres[], ch	Line 5788 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 4527 fprintf(fichtm,"<ul><li><h4>Life table</	Line 5803 fprintf(fichtm,"<ul><li><h4>Life table</
}	}

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

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


Line 4541 void printinggnuplotmort(char fileres[],	Line 5817 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 4555 int readdata(char datafile[], int firsto	Line 5831 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 4586 int readdata(char datafile[], int firsto	Line 5862 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 4600 int readdata(char datafile[], int firsto	Line 5874 int readdata(char datafile[], int firsto
lval=strtol(strb,&endptr,10);	lval=strtol(strb,&endptr,10);
/* if (errno == ERANGE && (lval == LONG_MAX \|\| lval == LONG_MIN))*/	/* if (errno == ERANGE && (lval == LONG_MAX \|\| lval == LONG_MIN))*/
if( strb[0]=='\0' \|\| (*endptr != '\0')){	if( strb[0]=='\0' \|\| (*endptr != '\0')){
printf("Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);	printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);
fprintf(ficlog,"Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog);	fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong. Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog);
return 1;	return 1;
}	}
}	}
Line 4609 int readdata(char datafile[], int firsto	Line 5883 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{
printf("Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);	printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);
fprintf(ficlog,"Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);fflush(ficlog);	fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of interview (mm/yyyy or .) at wave %d. Exiting.\n",strb, linei,i, line,j);fflush(ficlog);
return 1;	return 1;
}	}
anint[j][i]= (double) year;	anint[j][i]= (double) year;
Line 4625 int readdata(char datafile[], int firsto	Line 5899 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{
printf("Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);	printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);
fprintf(ficlog,"Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog);	fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of death (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog);
return 1;	return 1;
}	}
andc[i]=(double) year;	andc[i]=(double) year;
Line 4640 int readdata(char datafile[], int firsto	Line 5914 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{
printf("Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);	printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);
fprintf(ficlog,"Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog);	fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy or .). Exiting.\n",strb, linei,i,line);fflush(ficlog);
return 1;	return 1;
}	}
if (year==9999) {	if (year==9999) {
printf("Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);	printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);
fprintf(ficlog,"Error reading data around '%s' at line number %ld for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);fflush(ficlog);	fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a date of birth (mm/yyyy) but at least the year of birth should be given. Exiting.\n",strb, linei,i,line);fflush(ficlog);
return 1;	return 1;

}	}
Line 4664 int readdata(char datafile[], int firsto	Line 5938 int readdata(char datafile[], int firsto
errno=0;	errno=0;
dval=strtod(strb,&endptr);	dval=strtod(strb,&endptr);
if( strb[0]=='\0' \|\| (*endptr != '\0')){	if( strb[0]=='\0' \|\| (*endptr != '\0')){
printf("Error reading data around '%f' at line number %ld, \"%s\" for individual %d\nShould be a weight. Exiting.\n",dval, i,line,linei);	printf("Error reading data around '%f' at line number %d, \"%s\" for individual %d\nShould be a weight. Exiting.\n",dval, i,line,linei);
fprintf(ficlog,"Error reading data around '%f' at line number %ld, \"%s\" for individual %d\nShould be a weight. Exiting.\n",dval, i,line,linei);	fprintf(ficlog,"Error reading data around '%f' at line number %d, \"%s\" for individual %d\nShould be a weight. Exiting.\n",dval, i,line,linei);
fflush(ficlog);	fflush(ficlog);
return 1;	return 1;
}	}
Line 4680 int readdata(char datafile[], int firsto	Line 5954 int readdata(char datafile[], int firsto
errno=0;	errno=0;
lval=strtol(strb,&endptr,10);	lval=strtol(strb,&endptr,10);
if( strb[0]=='\0' \|\| (*endptr != '\0')){	if( strb[0]=='\0' \|\| (*endptr != '\0')){
printf("Error reading data around '%d' at line number %ld for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);	printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);
fprintf(ficlog,"Error reading data around '%d' at line number %ld for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);fflush(ficlog);	fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\nShould be a covariate value (=0 for the reference or 1 for alternative). Exiting.\n",lval, linei,i, line);fflush(ficlog);
return 1;	return 1;
}	}
}	}
if(lval <-1 \|\| lval >1){	if(lval <-1 \|\| lval >1){
printf("Error reading data around '%d' at line number %ld for individual %d, '%s'\n \	printf("Error reading data around '%ld' at line number %d for individual %d, '%s'\n \
Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \	Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \
for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \	for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \
For example, for multinomial values like 1, 2 and 3,\n \	For example, for multinomial values like 1, 2 and 3,\n \
Line 4695 int readdata(char datafile[], int firsto	Line 5969 int readdata(char datafile[], int firsto
and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \	and V1=0 V2=1 for (3). V1=1 V2=1 should not exist and the corresponding\n \
output of IMaCh is often meaningless.\n \	output of IMaCh is often meaningless.\n \
Exiting.\n",lval,linei, i,line,j);	Exiting.\n",lval,linei, i,line,j);
fprintf(ficlog,"Error reading data around '%d' at line number %ld for individual %d, '%s'\n \	fprintf(ficlog,"Error reading data around '%ld' at line number %d for individual %d, '%s'\n \
Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \	Should be a value of %d(nth) covariate (0 should be the value for the reference and 1\n \
for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \	for the alternative. IMaCh does not build design variables automatically, do it yourself.\n \
For example, for multinomial values like 1, 2 and 3,\n \	For example, for multinomial values like 1, 2 and 3,\n \
Line 4727 int readdata(char datafile[], int firsto	Line 6001 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 4735 int readdata(char datafile[], int firsto	Line 6009 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){
/* This loop fills the array Tvar from the string 'model'.*/	printf("Error. 'v' must be in upper case 'V' model=%s ",model);
/* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */	fprintf(ficlog,"Error. 'v' must be in upper case model=%s ",model);fflush(ficlog);
/* modelsav=V2+V1+V4+ageV3 strb=ageV3 stra=V2+V1+V4 */	return 1;
/* k=4 (ageV3) Tvar[k=4]= 3 (from V3) Tage[cptcovage=1]=4 /	}
/* k=3 V4 Tvar[k=3]= 4 (from V4) */	strcpy(modelsav,model);
/* k=2 V1 Tvar[k=2]= 1 (from V1) */	if ((strpt=strstr(model,"age*age")) !=0){
/* k=1 Tvar[1]=2 (from V2) */	printf(" strpt=%s, model=%s\n",strpt, model);
/* k=5 Tvar[5] */	if(strpt != model){
/* for (k=1; k<=cptcovn;k++) { */	printf("Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \
/* cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; */	'model=1+age+ageage+V1.' or 'model=1+age+ageage+V1+V1*age.', please swap as well as \n \
/* } */	corresponding column of parameters.\n",model);
/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; /	fprintf(ficlog,"Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \
for(k=cptcovn; k>=1;k--){	'model=1+age+ageage+V1.' or 'model=1+age+ageage+V1+V1*age.', please swap as well as \n \
cutv(stra,strb,modelsav,'+'); /* keeps in strb after the first '+'	corresponding column of parameters.\n",model); fflush(ficlog);
modelsav==V2+V1+V4+V3age strb=V3age stra=V2+V1+V4	return 1;
*/	}
if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */
/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/	nagesqr=1;
/scanf("%d",i);/	if (strstr(model,"+age*age") !=0)
if (strchr(strb,'')) { / Model includes a product V2+V1+V4+V3age strb=V3age */	substrchaine(modelsav, model, "+age*age");
cutv(strd,strc,strb,''); / strdstrc VmVn: strb=V3age strc=age strd=V3 ; V3V2 strc=V2, strd=V3 */	else if (strstr(model,"age*age+") !=0)
if (strcmp(strc,"age")==0) { /* Vnage /	substrchaine(modelsav, model, "age*age+");
cptcovprod--;	else
cutv(strb,stre,strd,'V'); /* stre="V3" */	substrchaine(modelsav, model, "age*age");
Tvar[k]=atoi(stre); /* V2+V1+V4+V3age Tvar[4]=2 ; V1+V2age Tvar[2]=2 */	}else
cptcovage++; /* Sums the number of covariates which include age as a product */	nagesqr=0;
Tage[cptcovage]=k; /* Tage[1] = 4 */	if (strlen(modelsav) >1){
/printf("stre=%s ", stre);/	j=nbocc(modelsav,'+'); /*< j=Number of '+' /
} else if (strcmp(strd,"age")==0) { /* or ageVn /	j1=nbocc(modelsav,''); /< j1=Number of '' */
cptcovprod--;	cptcovs=j+1-j1; /*< Number of simple covariates V1+V1age+V3 +V3V4+ageage=> V1 + V3 =2 */
cutv(strb,stre,strc,'V');	cptcovt= j+1; /* Number of total covariates in the model, not including
Tvar[k]=atoi(stre);	* cst, age and age*age
cptcovage++;	* V1+V1age+ V3 + V3V4+ageage=> 4/
Tage[cptcovage]=k;	/* including age products which are counted in cptcovage.
} else { /* Age is not in the model product V2+V1+V1V4+V3age+V3V2 strb=V3V2*/	* but the covariates which are products must be treated
/* loops on k1=1 (V3V2) and k1=2 V4V3 */	* separately: ncovn=4- 2=2 (V1+V3). */
cutv(strb,stre,strc,'V'); /* strc= Vn, stre is n; strb=V3V2 stre=3 strc=/	cptcovprod=j1; /*< Number of products V1V2 +v3age = 2 /
Tvar[k]=ncovcol+k1; /* For model-covariate k tells which data-covariate to use but	cptcovprodnoage=0; /*< Number of covariate products without age: V3V4 =1 */
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	/* Design
Tvar[3=V1V4]=4+1 Tvar[5=V3V2]=4 + 2= 6, etc */	* V1 V2 V3 V4 V5 V6 V7 V8 V9 Weight
cutv(strb,strc,strd,'V'); /* strd was Vm, strc is m */	* < ncovcol=8 >
Tprod[k1]=k; /* Tprod[1]=3(=V1V4) for V2+V1+V1V4+ageV3+V3V2 */	* Model V2 + V1 + V3age + V3 + V5V6 + V7V8 + V8age + V8
Tvard[k1][1]=atoi(strc); /* m 1 for V1*/	* k= 1 2 3 4 5 6 7 8
Tvard[k1][2]=atoi(stre); /* n 4 for V4*/	* cptcovn number of covariates (not including constant and age ) = # of + plus 1 = 7+1=8
Tvar[cptcovn+k2]=Tvard[k1][1]; /* Tvar[(cptcovn=4+k2=1)=5]= 1 (V1) */	* covar[k,i], value of kth covariate if not including age for individual i:
Tvar[cptcovn+k2+1]=Tvard[k1][2]; /* Tvar[(cptcovn=4+(k2=1)+1)=6]= 4 (V4) */	* covar[1][i]= (V2), covar[4][i]=(V3), covar[8][i]=(V8)
for (i=1; i<=lastobs;i++){	* Tvar[k] # of the kth covariate: Tvar[1]=2 Tvar[4]=3 Tvar[8]=8
/* Computes the new covariate which is a product of	* if multiplied by age: V3age Tvar[3=V3age]=3 (V3) Tvar[7]=8 and
covar[n][i]* covar[m][i] and stores it at ncovol+k1 */	* Tage[++cptcovage]=k
covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i];	* if products, new covar are created after ncovcol with k1
}	* Tvar[k]=ncovcol+k1; # of the kth covariate product: Tvar[5]=ncovcol+1=10 Tvar[6]=ncovcol+1=11
k1++;	* Tprod[k1]=k; Tprod[1]=5 Tprod[2]= 6; gives the position of the k1th product
k2=k2+2;	* 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
} /* End age is not in the model */	* Tvar[cptcovn+k2]=Tvard[k1][1];Tvar[cptcovn+k2+1]=Tvard[k1][2];
} /* End if model includes a product */	* Tvar[8+1]=5;Tvar[8+2]=6;Tvar[8+3]=7;Tvar[8+4]=8 inverted
else { /* no more sum */	* V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11
/printf("d=%s c=%s b=%s\n", strd,strc,strb);/	* < ncovcol=8 >
/* scanf("%d",i);*/	* Model V2 + V1 + V3age + V3 + V5V6 + V7V8 + V8age + V8 d1 d1 d2 d2
cutv(strd,strc,strb,'V');	* k= 1 2 3 4 5 6 7 8 9 10 11 12
Tvar[k]=atoi(strc);	* Tvar[k]= 2 1 3 3 10 11 8 8 5 6 7 8
}	* p Tvar[1]@12={2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6}
strcpy(modelsav,stra); /* modelsav=V2+V1+V4 stra=V2+V1+V4 */	* p Tprod[1]@2={ 6, 5}
/*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);	*p Tvard[1][1]@4= {7, 8, 5, 6}
scanf("%d",i);*/	* covar[k][i]= V2 V1 ? V3 V5V6? V7V8? ? V8
} /* end of loop + */	* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
} /* end model */	*How to reorganize?
	* Model V1 + V2 + V3 + V8 + V5V6 + V7V8 + V3age + V8age
	* Tvars {2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6}
	* {2, 1, 4, 8, 5, 6, 3, 7}
	* Struct []
	*/

	/* This loop fills the array Tvar from the string 'model'.*/
	/* j is the number of + signs in the model V1+V2+V3 j=2 i=3 to 1 */
	/* modelsav=V2+V1+V4+ageV3 strb=ageV3 stra=V2+V1+V4 */
	/* k=4 (ageV3) Tvar[k=4]= 3 (from V3) Tage[cptcovage=1]=4 /
	/* k=3 V4 Tvar[k=3]= 4 (from V4) */
	/* k=2 V1 Tvar[k=2]= 1 (from V1) */
	/* k=1 Tvar[1]=2 (from V2) */
	/* k=5 Tvar[5] */
	/* for (k=1; k<=cptcovn;k++) { */
	/* cov[2+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */
	/* } */
	/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k])]]cov[2]; /
	/*
	* Treating invertedly V2+V1+V3age+V2V4 is as if written V2V4 +V3age + V1 + V2 */
	for(k=cptcovt; k>=1;k--) /*< Number of covariates /
	Tvar[k]=0;
	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 4838 int decodemodel ( char model[], int last	Line 6210 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 4854 calandcheckages(int imx, int maxwav, dou	Line 6226 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 4873 calandcheckages(int imx, int maxwav, dou	Line 6245 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 4885 calandcheckages(int imx, int maxwav, dou	Line 6257 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 4897 calandcheckages(int imx, int maxwav, dou	Line 6270 calandcheckages(int imx, int maxwav, dou
}	}
else if(agev[m][i] >*agemax){	else if(agev[m][i] >*agemax){
*agemax=agev[m][i];	*agemax=agev[m][i];
/* printf(" anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.0f\n",m,i,anint[m][i], i,annais[i], agemax);*/	/* printf(" Max anint[%d][%d]=%.0f annais[%d]=%.0f, agemax=%.2f\n",m,i,anint[m][i], i,annais[i], agemax);/
}	}
/agev[m][i]=anint[m][i]-annais[i];/	/agev[m][i]=anint[m][i]-annais[i];/
/* agev[m][i] = age[i]+2m;/	/* agev[m][i] = age[i]+2m;/
Line 4915 calandcheckages(int imx, int maxwav, dou	Line 6288 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 4923 calandcheckages(int imx, int maxwav, dou	Line 6296 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++){
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, double ftolpl, int ncvyear){
	/--------------- Prevalence limit (period or stable prevalence) --------------/
	int i, j, k, i1 ;
	/* double ftolpl = 1.e-10; */
	double age, agebase, agelim;
	double tot;

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

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

	agebase=ageminpar;
	agelim=agemaxpar;

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

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

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

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

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

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

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,fileresu);
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 4955 int main(int argc, char *argv[])	Line 6667 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 ncvyearnp=0;
int jj, ll, li, lj, lk, imk;	int ncvyear=&ncvyearnp; / Number of years needed for the period prevalence to converge */
	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 */
double *p;	double *p;
double *matcov; / Matrix of covariance */	double *matcov; / Matrix of covariance */
	double *hess; / Hessian matrix */
double **delti3; / Scale */	double **delti3; / Scale */
double delti; / Scale */	double delti; / Scale */
double *eij, *vareij;	double *eij, *vareij;
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 5026 int main(int argc, char *argv[])	Line 6742 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 5050 int main(int argc, char *argv[])	Line 6768 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);	if(!fgets(pathr,FILENAMELENGTH,stdin)){
	printf("ERROR Empty parameter file name\n");
	goto end;
	}
i=strlen(pathr);	i=strlen(pathr);
if(pathr[i-1]=='\n')	if(pathr[i-1]=='\n')
pathr[i-1]='\0';	pathr[i-1]='\0';
for (tok = pathr; tok != NULL; ){	i=strlen(pathr);
	if(i >= 1 && pathr[i-1]==' ') {/* This may happen when dragging on oS/X! */
	pathr[i-1]='\0';
	}
	i=strlen(pathr);
	if( i==0 ){
	printf("ERROR Empty parameter file name\n");
	goto end;
	}
	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');
printf("val= \|%s\| pathr=%s\n",val,pathr);	printf("val= \|%s\| pathr=%s\n",val,pathr);
Line 5083 int main(int argc, char *argv[])	Line 6817 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 5100 int main(int argc, char *argv[])	Line 6839 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 5108 int main(int argc, char *argv[])	Line 6847 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(fileresu, optionfilefiname); /* Without r in front */
strcat(fileres,".txt"); /* Other files have txt extension */	strcat(fileres,".txt"); /* Other files have txt extension */
	strcat(fileresu,".txt"); /* Other files have txt extension */

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

if((ficpar=fopen(optionfile,"r"))==NULL) {	if((ficpar=fopen(optionfile,"r"))==NULL) {
printf("Problem with optionfile %s\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);
}	}



strcpy(filereso,"o");	strcpy(filereso,"o");
strcat(filereso,fileres);	strcat(filereso,fileresu);
if((ficparo=fopen(filereso,"w"))==NULL) { /* opened on subdirectory */	if((ficparo=fopen(filereso,"w"))==NULL) { /* opened on subdirectory */
printf("Problem with Output resultfile: %s\n", filereso);	printf("Problem with Output resultfile: %s\n", filereso);
fprintf(ficlog,"Problem with Output resultfile: %s\n", filereso);	fprintf(ficlog,"Problem with Output resultfile: %s\n", filereso);
Line 5149 int main(int argc, char *argv[])	Line 6893 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++;
puts(line);	printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", title, datafile, lastobs, firstpass,lastpass);
fputs(line,ficparo);
fputs(line,ficlog);
}	}
ungetc(c,ficpar);	/* Second parameter line */
	while(fgets(line, MAXLINE, ficpar)) {
fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model);	/* If line starts with a # it is a comment */
numlinepar++;	if (line[0] == '#') {
printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model);	numlinepar++;
fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);	fputs(line,stdout);
fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);	fputs(line,ficparo);
	fputs(line,ficlog);
	continue;
	}else
	break;
	}
	if((num_filled=sscanf(line,"ftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n", \
	&ftol, &stepm, &ncovcol, &nlstate, &ndeath, &maxwav, &mle, &weightopt)) !=EOF){
	if (num_filled != 8) {
	printf("Not 8\n");
	}
	printf("ftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n",ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt);
	}
	/* ftolpl=6ftol1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit \/ /
	ftolpl=6.e-3; /* 6.e-3 make convergences in less than 80 loops for the prevalence limit */
	/* Third parameter line */
	while(fgets(line, MAXLINE, ficpar)) {
	/* If line starts with a # it is a comment */
	if (line[0] == '#') {
	numlinepar++;
	fputs(line,stdout);
	fputs(line,ficparo);
	fputs(line,ficlog);
	continue;
	}else
	break;
	}
	if((num_filled=sscanf(line,"model=1+age%[^.\n]", model)) !=EOF){
	if (num_filled == 0)
	model[0]='\0';
	else if (num_filled != 1){
	printf("ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line);
	fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line);
	model[0]='\0';
	goto end;
	}
	else{
	if (model[0]=='+'){
	for(i=1; i<=strlen(model);i++)
	modeltemp[i-1]=model[i];
	strcpy(model,modeltemp);
	}
	}
	/* printf(" model=1+age%s modeltemp= %s, model=%s\n",model, modeltemp, model);fflush(stdout); */
	printf("model=1+age+%s\n",model);fflush(stdout);
	}
	/* fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=1+age+%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model); */
	/* numlinepar=numlinepar+3; /\* In general \/ /
	/* printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model); */
	fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);
	fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model);
fflush(ficlog);	fflush(ficlog);
	/* if(model[0]=='#'\|\| model[0]== '\0'){ */
	if(model[0]=='#'){
	printf("Error in 'model' line: model should start with 'model=1+age+' and end with '.' \n \
	'model=1+age+.' or 'model=1+age+V1.' or 'model=1+age+ageage+V1+V1age.' or \n \
	'model=1+age+V1+V2.' or 'model=1+age+V1+V2+V1*V2.' etc. \n"); \
	if(mle != -1){
	printf("Fix the model line and run imach with mle=-1 to get a correct template of the parameter file.\n");
	exit(1);
	}
	}
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
numlinepar++;	numlinepar++;
puts(line);	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);
	//puts(line);
fputs(line,ficparo);	fputs(line,ficparo);
fputs(line,ficlog);	fputs(line,ficlog);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);


covar=matrix(0,NCOVMAX,1,n);	covar=matrix(0,NCOVMAX,1,n); /*< used in readdata /
cptcovn=0; /Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn/	cptcovn=0; /Number of covariates, i.e. number of '+' in model statement plus one, indepently of n in Vn/
/* v1+v2+v3+v2v4+v5age makes cptcovn = 5	/* v1+v2+v3+v2v4+v5age makes cptcovn = 5
v1+v2age+v2v3 makes cptcovn = 3	v1+v2age+v2v3 makes cptcovn = 3
*/	*/
if (strlen(model)>1)	if (strlen(model)>1)
cptcovn=nbocc(model,'+')+1;	ncovmodel=2+nbocc(model,'+')+1; /Number of variables including intercept and age = cptcovn + intercept + age : v1+v2+v3+v2v4+v5age makes 5+2=7,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 5200 int main(int argc, char *argv[])	Line 7021 int main(int argc, char *argv[])
/delti=vector(1,npar); //* Scale of each paramater (output from hesscov)*/	/delti=vector(1,npar); //* Scale of each paramater (output from hesscov)*/
if(mle==-1){ /* Print a wizard for help writing covariance matrix */	if(mle==-1){ /* Print a wizard for help writing covariance matrix */
prwizard(ncovmodel, nlstate, ndeath, model, ficparo);	prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
printf(" You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso);	printf(" You chose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
fprintf(ficlog," You choose mle=-1, look at file %s for a template of covariance matrix \n",filereso);	fprintf(ficlog," You chose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);	free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
fclose (ficparo);	fclose (ficparo);
fclose (ficlog);	fclose (ficlog);
goto end;	goto end;
exit(0);	exit(0);
}	}
else if(mle==-3) {	else if(mle==-3) { /* Main Wizard */
prwizard(ncovmodel, nlstate, ndeath, model, ficparo);	prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
printf(" You choose mle=-3, look at file %s for a template of covariance matrix \n",filereso);	printf(" You chose mle=-3, look at file %s for a template of covariance matrix \n",filereso);
fprintf(ficlog," You choose mle=-3, look at file %s for a template of covariance matrix \n",filereso);	fprintf(ficlog," You chose mle=-3, look at file %s for a template of covariance matrix \n",filereso);
param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);	param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
matcov=matrix(1,npar,1,npar);	matcov=matrix(1,npar,1,npar);
	hess=matrix(1,npar,1,npar);
}	}
else{	else{
/* Read guess parameters */	/* Read guessed parameters */
/* Reads comments: lines beginning with '#' */	/* Reads comments: lines beginning with '#' */
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
numlinepar++;	numlinepar++;
puts(line);	fputs(line,stdout);
fputs(line,ficparo);	fputs(line,ficparo);
fputs(line,ficlog);	fputs(line,ficlog);
}	}
Line 5235 int main(int argc, char *argv[])	Line 7057 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 5243 run imach with mle=-1 to get a correct t	Line 7065 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 5265 run imach with mle=-1 to get a correct t	Line 7087 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 5272 run imach with mle=-1 to get a correct t	Line 7095 run imach with mle=-1 to get a correct t
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
numlinepar++;	numlinepar++;
puts(line);	fputs(line,stdout);
fputs(line,ficparo);	fputs(line,ficparo);
fputs(line,ficlog);	fputs(line,ficlog);
}	}
Line 5281 run imach with mle=-1 to get a correct t	Line 7104 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 5303 run imach with mle=-1 to get a correct t	Line 7126 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 5313 run imach with mle=-1 to get a correct t	Line 7137 run imach with mle=-1 to get a correct t
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
numlinepar++;	numlinepar++;
puts(line);	fputs(line,stdout);
fputs(line,ficparo);	fputs(line,ficparo);
fputs(line,ficlog);	fputs(line,ficlog);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);

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

	/* Scans npar lines */
for(i=1; i <=npar; i++){	for(i=1; i <=npar; i++){
fscanf(ficpar,"%s",&str);	count=fscanf(ficpar,"%1d%1d%1d",&i1,&j1,&jk);
	if(count != 3){
	printf("Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\
	This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\
	Please run with mle=-1 to get a correct covariance matrix.\n",optionfile,numlinepar, i1,j1,jk, npar, model);
	fprintf(ficlog,"Error! Error in parameter file %s at line %d after line starting with %1d%1d%1d\n\
	This is probably because your covariance matrix doesn't \n contain exactly %d lines corresponding to your model line '1+age+%s'.\n\
	Please run with mle=-1 to get a correct covariance matrix.\n",optionfile,numlinepar, i1,j1,jk, npar, model);
	exit(1);
	}else
if(mle==1)	if(mle==1)
printf("%s",str);	printf("%1d%1d%1d",i1,j1,jk);
fprintf(ficlog,"%s",str);	fprintf(ficlog,"%1d%1d%1d",i1,j1,jk);
fprintf(ficparo,"%s",str);	fprintf(ficparo,"%1d%1d%1d",i1,j1,jk);
for(j=1; j <=i; j++){	for(j=1; j <=i; j++){
fscanf(ficpar," %le",&matcov[i][j]);	fscanf(ficpar," %le",&matcov[i][j]);
if(mle==1){	if(mle==1){
Line 5344 run imach with mle=-1 to get a correct t	Line 7179 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 5360 run imach with mle=-1 to get a correct t	Line 7196 run imach with mle=-1 to get a correct t
strcat(rfileres,"."); /* */	strcat(rfileres,"."); /* */
strcat(rfileres,optionfilext); /* Other files have txt extension */	strcat(rfileres,optionfilext); /* Other files have txt extension */
if((ficres =fopen(rfileres,"w"))==NULL) {	if((ficres =fopen(rfileres,"w"))==NULL) {
printf("Problem writing new parameter file: %s\n", fileres);goto end;	printf("Problem writing new parameter file: %s\n", rfileres);goto end;
fprintf(ficlog,"Problem writing new parameter file: %s\n", fileres);goto end;	fprintf(ficlog,"Problem writing new parameter file: %s\n", rfileres);goto end;
}	}
fprintf(ficres,"#%s\n",version);	fprintf(ficres,"#%s\n",version);
} /* End of mle != -3 */	} /* End of mle != -3 */

	/* Main data
	*/
n= lastobs;	n= lastobs;
num=lvector(1,n);	num=lvector(1,n);
moisnais=vector(1,n);	moisnais=vector(1,n);
Line 5381 run imach with mle=-1 to get a correct t	Line 7218 run imach with mle=-1 to get a correct t
anint=matrix(1,maxwav,1,n);	anint=matrix(1,maxwav,1,n);
s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */	s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */
tab=ivector(1,NCOVMAX);	tab=ivector(1,NCOVMAX);
ncodemax=ivector(1,8); /* hard coded ? */	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 5404 run imach with mle=-1 to get a correct t	Line 7242 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);	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); /* For V3V2 Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) /	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
Tage=ivector(1,15); /* Gives the covariate id of covariates associated with age: V2 + V1 + ageV4 + V3age	* For V3V2 (in V2+V1+V1V4+ageV3+V3V2), V3*V2 position is 2nd.
	* Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */
	Tage=ivector(1,NCOVMAX); /* Gives the covariate id of covariates associated with age: V2 + V1 + ageV4 + V3age
4 covariates (3 plus signs)	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 5442 run imach with mle=-1 to get a correct t	Line 7285 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 5451 run imach with mle=-1 to get a correct t	Line 7294 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); /* Cross tabulation to get the order of	tricode(Tvar,nbcode,imx, Ndum); /*< Fills nbcode[Tvar[j]][l]; /
the estimations*/	/* 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 */	/< codtab(h,k) k = codtab[h,k]=( (h-1) - mod(k-1,2(k-1) )/2**(k-1) + 1
for(i=1; i <=(m/pow(2,k));i++){ /* i=1 to 8/1=8; i=1 to 8/2=4; i=1 to 8/8=1 */	* For k=4 covariates, h goes from 1 to 2**k
for(j=1; j <= ncodemax[k]; j++){ /* For each modality of this covariate */	* codtabm(h,k)= 1 & (h-1) >> (k-1) ;
for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){ /* cpt=1 to 8/2*(3+1-1 or 3+1-3) =1 or 4 /	* h\k 1 2 3 4
h++;	*______________________________
if (h>m) {	* 1 i=1 1 i=1 1 i=1 1 i=1 1
h=1;	* 2 2 1 1 1
codtab[h][k]=j;	* 3 i=2 1 2 1 1
codtab[h][Tvar[k]]=j;	* 4 2 2 1 1
}	* 5 i=3 1 i=2 1 2 1
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]]);	* 6 2 1 2 1
}	* 7 i=4 1 2 2 1
}	* 8 2 2 2 1
}	* 9 i=5 1 i=3 1 i=2 1 2
}	* 10 2 1 1 2
	* 11 i=6 1 2 1 2
	* 12 2 2 1 2
	* 13 i=7 1 i=4 1 2 2
	* 14 2 1 2 2
	* 15 i=8 1 2 2 2
	* 16 2 2 2 2
	*/
	/* /\* for(h=1; h <=100 ;h++){ \/ /
	/* /\* printf("h=%2d ", h); \/ /
	/* /\* 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_");
strcat(optionfilegnuplot,".gp");	strcat(optionfilegnuplot,".gp");

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

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

strcpy(optionfilehtm,optionfilefiname); /* Main html file */	strcpy(optionfilehtm,optionfilefiname); /* Main html file */
if(mle==-3)	if(mle==-3)
strcat(optionfilehtm,"-mort");	strcat(optionfilehtm,"-MORT_");
strcat(optionfilehtm,".htm");	strcat(optionfilehtm,".htm");
if((fichtm=fopen(optionfilehtm,"w"))==NULL) {	if((fichtm=fopen(optionfilehtm,"w"))==NULL) {
printf("Problem with %s \n",optionfilehtm);	printf("Problem with %s \n",optionfilehtm);
Line 5522 run imach with mle=-1 to get a correct t	Line 7414 run imach with mle=-1 to get a correct t
else{	else{
fprintf(fichtmcov,"<html><head>\n<title>IMaCh Cov %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \	fprintf(fichtmcov,"<html><head>\n<title>IMaCh Cov %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \
<hr size=\"2\" color=\"#EC5E5E\"> \n\	<hr size=\"2\" color=\"#EC5E5E\"> \n\
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n",\	Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\
optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);	optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);
}	}

fprintf(fichtm,"<html><head>\n<title>IMaCh %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \	fprintf(fichtm,"<html><head>\n<head>\n<meta charset=\"utf-8\"/><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<title>IMaCh %s</title></head>\n <body><font size=\"7\"><a href=http:/euroreves.ined.fr/imach>IMaCh for Interpolated Markov Chain</a> </font><br>\n<font size=\"3\">Sponsored by Copyright (C) 2002-2015 <a href=http://www.ined.fr>INED</a>-EUROREVES-Institut de longévité-Japan Society for the Promotion of Sciences 日本学術振興会 (<a href=https://www.jsps.go.jp/english/e-grants/>Grant-in-Aid for Scientific Research 25293121</a>) - <a href=https://software.intel.com/en-us>Intel Software 2015</a></font><br> \
	<hr size=\"2\" color=\"#EC5E5E\"> \n\
	<font size=\"2\">IMaCh-%s <br> %s</font> \
<hr size=\"2\" color=\"#EC5E5E\"> \n\	<hr size=\"2\" color=\"#EC5E5E\"> \n\
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s<br>\n\	Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n\
\n\	\n\
<hr size=\"2\" color=\"#EC5E5E\">\	<hr size=\"2\" color=\"#EC5E5E\">\
<ul><li><h4>Parameter files</h4>\n\	<ul><li><h4>Parameter files</h4>\n\
Line 5545 Title=%s <br>Datafile=%s Firstpass=%d La	Line 7439 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 5568 Interval (in months) between two waves:	Line 7467 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 5609 Interval (in months) between two waves:	Line 7508 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_");
strcat(filerespow,fileres);	strcat(filerespow,fileresu);
if((ficrespow=fopen(filerespow,"w"))==NULL) {	if((ficrespow=fopen(filerespow,"w"))==NULL) {
printf("Problem with resultfile: %s\n", filerespow);	printf("Problem with resultfile: %s\n", filerespow);
fprintf(ficlog,"Problem with resultfile: %s\n", filerespow);	fprintf(ficlog,"Problem with resultfile: %s\n", filerespow);
}	}
#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 5661 Interval (in months) between two waves:	Line 7560 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 5715 Interval (in months) between two waves:	Line 7614 Interval (in months) between two waves:
#endif	#endif
fclose(ficrespow);	fclose(ficrespow);

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

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

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

printf("iter=%d MLE=%f Eq=%lfexp(%lf(age-%d))\n",iter,-gompertz(p),p[1],p[2],agegomp);	printf("iter=%d MLE=%f Eq=%lfexp(%lf(age-%d))\n",iter,-gompertz(p),p[1],p[2],agegomp);
for (i=1;i<=NDIM;i++)	for (i=1;i<=NDIM;i++) {
printf("%f [%f ; %f]\n",p[i],p[i]-2sqrt(matcov[i][i]),p[i]+2sqrt(matcov[i][i]));	printf("%f [%f ; %f]\n",p[i],p[i]-2sqrt(matcov[i][i]),p[i]+2sqrt(matcov[i][i]));
	fprintf(ficlog,"%f [%f ; %f]\n",p[i],p[i]-2sqrt(matcov[i][i]),p[i]+2sqrt(matcov[i][i]));
	}
lsurv=vector(1,AGESUP);	lsurv=vector(1,AGESUP);
lpop=vector(1,AGESUP);	lpop=vector(1,AGESUP);
tpop=vector(1,AGESUP);	tpop=vector(1,AGESUP);
Line 5764 Interval (in months) between two waves:	Line 7666 Interval (in months) between two waves:


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

Line 5779 Interval (in months) between two waves:	Line 7688 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 */
else{ /* For mle >=1 */	else{ /* For mle !=- 3, could be 0 or 1 or 4 etc. */
globpr=0;/* debug */	globpr=0;/* Computes sum of likelihood for globpr=1 and funcone */
	/* Computes likelihood for initial parameters, uses funcone to compute gpimx and gsw */
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 */	if(mle>=1){ /* Could be 1 or 2, Real Maximization */
	/* mlikeli uses func not funcone */
	mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);
	}
	if(mle==0) {/* No optimization, will print the likelihoods for the datafile */
	globpr=0;/* Computes sum of likelihood for globpr=1 and funcone */
	/* Computes likelihood for initial parameters, uses funcone to compute gpimx and gsw */
	likelione(ficres, p, npar, nlstate, &globpr, &ipmx, &sw, &fretone, funcone); /* Prints the contributions to the likelihood */
	}
	globpr=1; /* again, to print the individual contributions using computed gpimx and gsw */
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 */
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 5812 Interval (in months) between two waves:	Line 7728 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 5823 Interval (in months) between two waves:	Line 7739 Interval (in months) between two waves:
}	}
}	}
}	}
if(mle!=0){	if(mle != 0){
/* Computing hessian and covariance matrix */	/* Computing hessian and covariance matrix only at a peak of the Likelihood, that is after optimization */
ftolhess=ftol; /* Usually correct */	ftolhess=ftol; /* Usually correct */
hesscov(matcov, p, npar, delti, ftolhess, func);	hesscov(matcov, hess, p, npar, delti, ftolhess, func);
}	printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n");
	fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n");
	for(i=1,jk=1; i <=nlstate; i++){
	for(k=1; k <=(nlstate+ndeath); k++){
	if (k != i) {
	printf("%d%d ",i,k);
	fprintf(ficlog,"%d%d ",i,k);
	for(j=1; j <=ncovmodel; j++){
	printf("%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96sqrt(matcov[jk][jk]),p[jk]+1.96sqrt(matcov[jk][jk]));
	fprintf(ficlog,"%12.7f W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk], p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96sqrt(matcov[jk][jk]),p[jk]+1.96sqrt(matcov[jk][jk]));
	jk++;
	}
	printf("\n");
	fprintf(ficlog,"\n");
	}
	}
	}
	} /* end of hesscov and Wald tests */

	/* */
fprintf(ficres,"# Scales (for hessian or gradient estimation)\n");	fprintf(ficres,"# Scales (for hessian or gradient estimation)\n");
printf("# Scales (for hessian or gradient estimation)\n");	printf("# Scales (for hessian or gradient estimation)\n");
fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n");	fprintf(ficlog,"# Scales (for hessian or gradient estimation)\n");
Line 5851 Interval (in months) between two waves:	Line 7786 Interval (in months) between two waves:
}	}

fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");	fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");
if(mle>=1)	if(mle >= 1) /* To big for the screen */
printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");	printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");
fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");	fprintf(ficlog,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n");
/* # 121 Var(a12)\n\ */	/* # 121 Var(a12)\n\ */
Line 5914 Interval (in months) between two waves:	Line 7849 Interval (in months) between two waves:
fprintf(ficres," Var(%s%1d%1d)",ca,i,j);	fprintf(ficres," Var(%s%1d%1d)",ca,i,j);
}else{	}else{
if(mle>=1)	if(mle>=1)
printf(" %.5e",matcov[jj][ll]);	printf(" %.7e",matcov[jj][ll]);
fprintf(ficlog," %.5e",matcov[jj][ll]);	fprintf(ficlog," %.7e",matcov[jj][ll]);
fprintf(ficres," %.5e",matcov[jj][ll]);	fprintf(ficres," %.7e",matcov[jj][ll]);
}	}
}	}
}	}
Line 5939 Interval (in months) between two waves:	Line 7874 Interval (in months) between two waves:
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
puts(line);	fputs(line,stdout);
fputs(line,ficparo);	fputs(line,ficparo);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);
Line 5955 Interval (in months) between two waves:	Line 7890 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);
puts(line);	fputs(line,stdout);
fputs(line,ficparo);	fputs(line,ficparo);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);
Line 5973 Interval (in months) between two waves:	Line 7909 Interval (in months) between two waves:
while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
puts(line);	fputs(line,stdout);
fputs(line,ficparo);	fputs(line,ficparo);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);
Line 5983 Interval (in months) between two waves:	Line 7919 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);

while((c=getc(ficpar))=='#' && c!= EOF){	while((c=getc(ficpar))=='#' && c!= EOF){
ungetc(c,ficpar);	ungetc(c,ficpar);
fgets(line, MAXLINE, ficpar);	fgets(line, MAXLINE, ficpar);
puts(line);	fputs(line,stdout);
fputs(line,ficparo);	fputs(line,ficparo);
}	}
ungetc(c,ficpar);	ungetc(c,ficpar);
Line 6003 Interval (in months) between two waves:	Line 7940 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(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p);

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

Line 6028 Interval (in months) between two waves:	Line 7973 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=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, ftolpl, ncvyear);
printf("cptcov=%d cptcod=%d codtab=%d nbcode=%d\n",cptcov, cptcod,codtab[cptcod][cptcov],nbcode);
fprintf(ficrespl,"\n#******");
printf("\n#******");
fprintf(ficlog,"\n#******");
for(j=1;j<=cptcoveff;j++) {
fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]);
}
fprintf(ficrespl,"******\n");
printf("******\n");
fprintf(ficlog,"******\n");

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

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

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

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

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

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

/* nhstepm=nhstepmYEARM; aff par mois/

p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);	/------------- h Pij x at various ages ------------/
oldm=oldms;savm=savms;	/#include "hpijx.h"/
hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);	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 6151 Interval (in months) between two waves:	Line 8006 Interval (in months) between two waves:
/if((stepm == 1) && (strcmp(model,".")==0)){/	/if((stepm == 1) && (strcmp(model,".")==0)){/
if(prevfcast==1){	if(prevfcast==1){
/* if(stepm ==1){*/	/* if(stepm ==1){*/
prevforecast(fileres, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);	prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);
/* (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);*/	/* (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1);*/
/* } */	/* } */
/* else{ */	/* else{ */
Line 6160 Interval (in months) between two waves:	Line 8015 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 6180 Interval (in months) between two waves:	Line 8036 Interval (in months) between two waves:

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

strcpy(filerese,"e");	strcpy(filerese,"E_");
strcat(filerese,fileres);	strcat(filerese,fileresu);
if((ficreseij=fopen(filerese,"w"))==NULL) {	if((ficreseij=fopen(filerese,"w"))==NULL) {
printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);	printf("Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
fprintf(ficlog,"Problem with Health Exp. resultfile: %s\n", filerese); exit(0);	fprintf(ficlog,"Problem with Health Exp. resultfile: %s\n", filerese); exit(0);
}	}
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 6202 Interval (in months) between two waves:	Line 8059 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 6210 Interval (in months) between two waves:	Line 8067 Interval (in months) between two waves:
/---------- Health expectancies and variances ------------/	/---------- Health expectancies and variances ------------/


strcpy(filerest,"t");	strcpy(filerest,"T_");
strcat(filerest,fileres);	strcat(filerest,fileresu);
if((ficrest=fopen(filerest,"w"))==NULL) {	if((ficrest=fopen(filerest,"w"))==NULL) {
printf("Problem with total LE resultfile: %s\n", filerest);goto end;	printf("Problem with total LE resultfile: %s\n", filerest);goto end;
fprintf(ficlog,"Problem with total LE resultfile: %s\n", filerest);goto end;	fprintf(ficlog,"Problem with total LE resultfile: %s\n", filerest);goto end;
Line 6220 Interval (in months) between two waves:	Line 8077 Interval (in months) between two waves:
fprintf(ficlog,"Computing Total Life expectancies with their standard errors: file '%s' \n", filerest);	fprintf(ficlog,"Computing Total Life expectancies with their standard errors: file '%s' \n", filerest);


strcpy(fileresstde,"stde");	strcpy(fileresstde,"STDE_");
strcat(fileresstde,fileres);	strcat(fileresstde,fileresu);
if((ficresstdeij=fopen(fileresstde,"w"))==NULL) {	if((ficresstdeij=fopen(fileresstde,"w"))==NULL) {
printf("Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);	printf("Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);
fprintf(ficlog,"Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);	fprintf(ficlog,"Problem with Health Exp. and std errors resultfile: %s\n", fileresstde); exit(0);
Line 6229 Interval (in months) between two waves:	Line 8086 Interval (in months) between two waves:
printf("Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);	printf("Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);
fprintf(ficlog,"Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);	fprintf(ficlog,"Computing Health Expectancies and standard errors: result on file '%s' \n", fileresstde);

strcpy(filerescve,"cve");	strcpy(filerescve,"CVE_");
strcat(filerescve,fileres);	strcat(filerescve,fileresu);
if((ficrescveij=fopen(filerescve,"w"))==NULL) {	if((ficrescveij=fopen(filerescve,"w"))==NULL) {
printf("Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);	printf("Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);
fprintf(ficlog,"Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);	fprintf(ficlog,"Problem with Covar. Health Exp. resultfile: %s\n", filerescve); exit(0);
Line 6238 Interval (in months) between two waves:	Line 8095 Interval (in months) between two waves:
printf("Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);	printf("Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);
fprintf(ficlog,"Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);	fprintf(ficlog,"Computing Covar. of Health Expectancies: result on file '%s' \n", filerescve);

strcpy(fileresv,"v");	strcpy(fileresv,"V_");
strcat(fileresv,fileres);	strcat(fileresv,fileresu);
if((ficresvij=fopen(fileresv,"w"))==NULL) {	if((ficresvij=fopen(fileresv,"w"))==NULL) {
printf("Problem with variance resultfile: %s\n", fileresv);exit(0);	printf("Problem with variance resultfile: %s\n", fileresv);exit(0);
fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0);	fprintf(ficlog,"Problem with variance resultfile: %s\n", fileresv);exit(0);
Line 6247 Interval (in months) between two waves:	Line 8104 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, ncvyear, k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); /* cptcod not initialized Intel */
	fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n# (weighted average of eij where weights are ");
if(vpopbased==1)	if(vpopbased==1)
fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);	fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);
else	else
fprintf(ficrest,"the age specific period (stable) prevalences in each health state \n");	fprintf(ficrest,"the age specific period (stable) prevalences in each health state \n");
fprintf(ficrest,"# Age e.. (std) ");	fprintf(ficrest,"# Age popbased mobilav e.. (std) ");
for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);	for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);
fprintf(ficrest,"\n");	fprintf(ficrest,"\n");
	/* printf("Which p?\n"); for(i=1;i<=npar;i++)printf("p[i=%d]=%lf,",i,p[i]);printf("\n"); */
epj=vector(1,nlstate+1);	epj=vector(1,nlstate+1);
for(age=bage; age <=fage ;age++){	for(age=bage; age <=fage ;age++){
prevalim(prlim, nlstate, p, age, oldm, savm,ftolpl,k);	prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyear, k); /ZZ Is it the correct prevalim /
if (vpopbased==1) {	if (vpopbased==1) {
if(mobilav ==0){	if(mobilav ==0){
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
Line 6299 Interval (in months) between two waves:	Line 8164 Interval (in months) between two waves:
}	}
}	}

fprintf(ficrest," %4.0f",age);	fprintf(ficrest," %4.0f %d %d",age, vpopbased, mobilav);
	/* fprintf(ficrest," %4.0f %d %d %d %d",age, vpopbased, mobilav,Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); / / to be done */
	/* 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 6321 Interval (in months) between two waves:	Line 8190 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 6338 Interval (in months) between two waves:	Line 8207 Interval (in months) between two waves:

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

strcpy(fileresvpl,"vpl");	strcpy(fileresvpl,"VPL_");
strcat(fileresvpl,fileres);	strcat(fileresvpl,fileresu);
if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {	if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {
printf("Problem with variance of period (stable) prevalence resultfile: %s\n", fileresvpl);	printf("Problem with variance of period (stable) prevalence resultfile: %s\n", fileresvpl);
exit(0);	exit(0);
}	}
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, ncvyear, 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 6366 Interval (in months) between two waves:	Line 8236 Interval (in months) between two waves:
/---------- End : free ----------------/	/---------- End : free ----------------/
if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);	if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX);
free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);	free_ma3x(probs,1,AGESUP,1,NCOVMAX, 1,NCOVMAX);

} /* mle==-3 arrives here for freeing */	} /* mle==-3 arrives here for freeing */
endfree:	/* endfree:*/
free_matrix(prlim,1,nlstate,1,nlstate);	free_matrix(prlim,1,nlstate,1,nlstate); /here or after loop ? /
free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);	free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);	free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);	free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);	free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);
free_matrix(covar,0,NCOVMAX,1,n);	free_matrix(covar,0,NCOVMAX,1,n);
free_matrix(matcov,1,npar,1,npar);	free_matrix(matcov,1,npar,1,npar);
	free_matrix(hess,1,npar,1,npar);
/free_vector(delti,1,npar);/	/free_vector(delti,1,npar);/
free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);	free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
free_matrix(agev,1,maxwav,1,imx);	free_matrix(agev,1,maxwav,1,imx);
free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);	free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);

free_ivector(ncodemax,1,8);	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 6402 Interval (in months) between two waves:	Line 8273 Interval (in months) between two waves:
}	}
printf("See log file on %s\n",filelog);	printf("See log file on %s\n",filelog);
/* gettimeofday(&end_time, (struct timezone)0);/ /* after time */	/* gettimeofday(&end_time, (struct timezone)0);/ /* after time */
(void) gettimeofday(&end_time,&tzp);	/(void) gettimeofday(&end_time,&tzp);/
tm = *localtime(&end_time.tv_sec);	rend_time = time(NULL);
tmg = *gmtime(&end_time.tv_sec);	end_time = *localtime(&rend_time);
strcpy(strtend,asctime(&tm));	/* tml = localtime(&end_time.tm_sec); /
	strcpy(strtend,asctime(&end_time));
printf("Local time at start %s\nLocal time at end %s",strstart, strtend);	printf("Local time at start %s\nLocal time at end %s",strstart, strtend);
fprintf(ficlog,"Local time at start %s\nLocal time at end %s\n",strstart, strtend);	fprintf(ficlog,"Local time at start %s\nLocal time at end %s\n",strstart, strtend);
printf("Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));	printf("Total time used %s\n", asc_diff_time(rend_time -rstart_time,tmpout));

printf("Total time was %d Sec.\n", end_time.tv_sec -start_time.tv_sec);	printf("Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time));
fprintf(ficlog,"Total time used %s\n", asc_diff_time(end_time.tv_sec -start_time.tv_sec,tmpout));	fprintf(ficlog,"Total time used %s\n", asc_diff_time(rend_time -rstart_time,tmpout));
fprintf(ficlog,"Total time was %d Sec.\n", end_time.tv_sec -start_time.tv_sec);	fprintf(ficlog,"Total time was %.0lf Sec.\n", difftime(rend_time,rstart_time));
/* printf("Total time was %d uSec.\n", total_usecs);*/	/* printf("Total time was %d uSec.\n", total_usecs);*/
/* if(fileappend(fichtm,optionfilehtm)){ */	/* if(fileappend(fichtm,optionfilehtm)){ */
fprintf(fichtm,"<br>Local time at start %s<br>Local time at end %s<br>\n</body></html>",strstart, strtend);	fprintf(fichtm,"<br>Local time at start %s<br>Local time at end %s<br>\n</body></html>",strstart, strtend);
Line 6425 Interval (in months) between two waves:	Line 8297 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 6451 Interval (in months) between two waves:	Line 8329 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.1.138
changed lines
	Added in v.1.207