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Diff for /imach/src/imach.c between versions 1.300 and 1.340

version 1.300, 2019/05/22 19:09:45	version 1.340, 2022/09/11 07:53:11
Line 1	Line 1
/* $Id$	/* $Id$
$State$	$State$
$Log$	$Log$
	Revision 1.340 2022/09/11 07:53:11 brouard
	Summary: Version imach 0.99r37

	* imach.c (Module): Adding timevarying products of any kinds,
	should work before shifting cotvar from ncovcol+nqv columns in
	order to have a correspondance between the column of cotvar and
	the id of column.

	Revision 1.339 2022/09/09 17:55:22 brouard
	Summary: version 0.99r37

	* imach.c (Module): Many improvements for fixing products of fixed
	timevarying as well as fixed * fixed, and test with quantitative
	covariate.

	Revision 1.338 2022/09/04 17:40:33 brouard
	Summary: 0.99r36

	* imach.c (Module): Now the easy runs i.e. without result or
	model=1+age only did not work. The defautl combination should be 1
	and not 0 because everything hasn't been tranformed yet.

	Revision 1.337 2022/09/02 14:26:02 brouard
	Summary: version 0.99r35

	* src/imach.c: Version 0.99r35 because it outputs same results with
	1+age+V1+V1*age for females and 1+age for females only
	(education=1 noweight)

	Revision 1.336 2022/08/31 09:52:36 brouard
	* empty log message *

	Revision 1.335 2022/08/31 08:23:16 brouard
	Summary: improvements...

	Revision 1.334 2022/08/25 09:08:41 brouard
	Summary: In progress for quantitative

	Revision 1.333 2022/08/21 09:10:30 brouard
	* src/imach.c (Module): Version 0.99r33 A lot of changes in
	reassigning covariates: my first idea was that people will always
	use the first covariate V1 into the model but in fact they are
	producing data with many covariates and can use an equation model
	with some of the covariate; it means that in a model V2+V3 instead
	of codtabm(k,Tvaraff[j]) which calculates for combination k, for
	three covariates (V1, V2, V3) the value of Tvaraff[j], but in fact
	the equation model is restricted to two variables only (V2, V3)
	and the combination for V2 should be codtabm(k,1) instead of
	(codtabm(k,2), and the code should be
	codtabm(k,TnsdVar[Tvaraff[j]]. Many many changes have been
	made. All of these should be simplified once a day like we did in
	hpxij() for example by using precov[nres] which is computed in
	decoderesult for each nres of each resultline. Loop should be done
	on the equation model globally by distinguishing only product with
	age (which are changing with age) and no more on type of
	covariates, single dummies, single covariates.

	Revision 1.332 2022/08/21 09:06:25 brouard
	Summary: Version 0.99r33

	* src/imach.c (Module): Version 0.99r33 A lot of changes in
	reassigning covariates: my first idea was that people will always
	use the first covariate V1 into the model but in fact they are
	producing data with many covariates and can use an equation model
	with some of the covariate; it means that in a model V2+V3 instead
	of codtabm(k,Tvaraff[j]) which calculates for combination k, for
	three covariates (V1, V2, V3) the value of Tvaraff[j], but in fact
	the equation model is restricted to two variables only (V2, V3)
	and the combination for V2 should be codtabm(k,1) instead of
	(codtabm(k,2), and the code should be
	codtabm(k,TnsdVar[Tvaraff[j]]. Many many changes have been
	made. All of these should be simplified once a day like we did in
	hpxij() for example by using precov[nres] which is computed in
	decoderesult for each nres of each resultline. Loop should be done
	on the equation model globally by distinguishing only product with
	age (which are changing with age) and no more on type of
	covariates, single dummies, single covariates.

	Revision 1.331 2022/08/07 05:40:09 brouard
	* empty log message *

	Revision 1.330 2022/08/06 07:18:25 brouard
	Summary: last 0.99r31

	* imach.c (Module): Version of imach using partly decoderesult to rebuild xpxij function

	Revision 1.329 2022/08/03 17:29:54 brouard
	* imach.c (Module): Many errors in graphs fixed with Vn*age covariates.

	Revision 1.328 2022/07/27 17:40:48 brouard
	Summary: valgrind bug fixed by initializing to zero DummyV as well as Tage

	Revision 1.327 2022/07/27 14:47:35 brouard
	Summary: Still a problem for one-step probabilities in case of quantitative variables

	Revision 1.326 2022/07/26 17:33:55 brouard
	Summary: some test with nres=1

	Revision 1.325 2022/07/25 14:27:23 brouard
	Summary: r30

	* imach.c (Module): Error cptcovn instead of nsd in bmij (was
	coredumped, revealed by Feiuno, thank you.

	Revision 1.324 2022/07/23 17:44:26 brouard
	* empty log message *

	Revision 1.323 2022/07/22 12:30:08 brouard
	* imach.c (Module): Output of Wald test in the htm file and not only in the log.

	Revision 1.322 2022/07/22 12:27:48 brouard
	* imach.c (Module): Output of Wald test in the htm file and not only in the log.

	Revision 1.321 2022/07/22 12:04:24 brouard
	Summary: r28

	* imach.c (Module): Output of Wald test in the htm file and not only in the log.

	Revision 1.320 2022/06/02 05:10:11 brouard
	* empty log message *

	Revision 1.319 2022/06/02 04:45:11 brouard
	* imach.c (Module): Adding the Wald tests from the log to the main
	htm for better display of the maximum likelihood estimators.

	Revision 1.318 2022/05/24 08:10:59 brouard
	* imach.c (Module): Some attempts to find a bug of wrong estimates
	of confidencce intervals with product in the equation modelC

	Revision 1.317 2022/05/15 15:06:23 brouard
	* imach.c (Module): Some minor improvements

	Revision 1.316 2022/05/11 15:11:31 brouard
	Summary: r27

	Revision 1.315 2022/05/11 15:06:32 brouard
	* empty log message *

	Revision 1.314 2022/04/13 17:43:09 brouard
	* imach.c (Module): Adding link to text data files

	Revision 1.313 2022/04/11 15:57:42 brouard
	* imach.c (Module): Error in rewriting the 'r' file with yearsfproj or yearsbproj fixed

	Revision 1.312 2022/04/05 21:24:39 brouard
	* empty log message *

	Revision 1.311 2022/04/05 21:03:51 brouard
	Summary: Fixed quantitative covariates

	Fixed covariates (dummy or quantitative)
	with missing values have never been allowed but are ERRORS and
	program quits. Standard deviations of fixed covariates were
	wrongly computed. Mean and standard deviations of time varying
	covariates are still not computed.

	Revision 1.310 2022/03/17 08:45:53 brouard
	Summary: 99r25

	Improving detection of errors: result lines should be compatible with
	the model.

	Revision 1.309 2021/05/20 12:39:14 brouard
	Summary: Version 0.99r24

	Revision 1.308 2021/03/31 13:11:57 brouard
	Summary: Version 0.99r23


	* imach.c (Module): Still bugs in the result loop. Thank to Holly Benett

	Revision 1.307 2021/03/08 18:11:32 brouard
	Summary: 0.99r22 fixed bug on result:

	Revision 1.306 2021/02/20 15:44:02 brouard
	Summary: Version 0.99r21

	* imach.c (Module): Fix bug on quitting after result lines!
	(Module): Version 0.99r21

	Revision 1.305 2021/02/20 15:28:30 brouard
	* imach.c (Module): Fix bug on quitting after result lines!

	Revision 1.304 2021/02/12 11:34:20 brouard
	* imach.c (Module): The use of a Windows BOM (huge) file is now an error

	Revision 1.303 2021/02/11 19:50:15 brouard
	* (Module): imach.c Someone entered 'results:' instead of 'result:'. Now it is an error which is printed.

	Revision 1.302 2020/02/22 21:00:05 brouard
	* (Module): imach.c Update mle=-3 (for computing Life expectancy
	and life table from the data without any state)

	Revision 1.301 2019/06/04 13:51:20 brouard
	Summary: Error in 'r'parameter file backcast yearsbproj instead of yearsfproj

Revision 1.300 2019/05/22 19:09:45 brouard	Revision 1.300 2019/05/22 19:09:45 brouard
Summary: version 0.99r19 of May 2019	Summary: version 0.99r19 of May 2019

Line 780	Line 976

The same imach parameter file can be used but the option for mle should be -3.	The same imach parameter file can be used but the option for mle should be -3.

Agnès, who wrote this part of the code, tried to keep most of the	Agnès, who wrote this part of the code, tried to keep most of the
former routines in order to include the new code within the former code.	former routines in order to include the new code within the former code.

The output is very simple: only an estimate of the intercept and of	The output is very simple: only an estimate of the intercept and of
Line 959 Important routines	Line 1155 Important routines
- Tricode which tests the modality of dummy variables (in order to warn with wrong or empty modalities)	- Tricode which tests the modality of dummy variables (in order to warn with wrong or empty modalities)
and returns the number of efficient covariates cptcoveff and modalities nbcode[Tvar[k]][1]= 0 and nbcode[Tvar[k]][2]= 1 usually.	and returns the number of efficient covariates cptcoveff and modalities nbcode[Tvar[k]][1]= 0 and nbcode[Tvar[k]][2]= 1 usually.
- printinghtml which outputs results like life expectancy in and from a state for a combination of modalities of dummy variables	- printinghtml which outputs results like life expectancy in and from a state for a combination of modalities of dummy variables
o There are 2*cptcoveff combinations of (0,1) for cptcoveff variables. Outputting only combinations with people, éliminating 1 1 if	o There are 2**cptcoveff combinations of (0,1) for cptcoveff variables. Outputting only combinations with people, éliminating 1 1 if
race White (0 0), Black vs White (1 0), Hispanic (0 1) and 1 1 being meaningless.	race White (0 0), Black vs White (1 0), Hispanic (0 1) and 1 1 being meaningless.



Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr).	Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr).
Institut national d'études démographiques, Paris.	Institut national d'études démographiques, Paris.
This software have been partly granted by Euro-REVES, a concerted action	This software have been partly granted by Euro-REVES, a concerted action
from the European Union.	from the European Union.
It is copyrighted identically to a GNU software product, ie programme and	It is copyrighted identically to a GNU software product, ie programme and
Line 1029 Important routines	Line 1225 Important routines
#define POWELLNOF3INFF1TEST /* Skip test */	#define POWELLNOF3INFF1TEST /* Skip test */
/* #define POWELLORIGINAL /\* Don't use Directest to decide new direction but original Powell test \/ /	/* #define POWELLORIGINAL /\* Don't use Directest to decide new direction but original Powell test \/ /
/* #define MNBRAKORIGINAL /\* Don't use mnbrak fix \/ /	/* #define MNBRAKORIGINAL /\* Don't use mnbrak fix \/ /
	/* #define FLATSUP // Suppresses directions where likelihood is flat */

#include <math.h>	#include <math.h>
#include <stdio.h>	#include <stdio.h>
Line 1084 typedef struct {	Line 1281 typedef struct {

#define GNUPLOTPROGRAM "gnuplot"	#define GNUPLOTPROGRAM "gnuplot"
/#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"/	/#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"/
#define FILENAMELENGTH 132	#define FILENAMELENGTH 256

#define GLOCK_ERROR_NOPATH -1 /* empty path */	#define GLOCK_ERROR_NOPATH -1 /* empty path */
#define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */	#define GLOCK_ERROR_GETCWD -2 /* cannot get cwd */
Line 1095 typedef struct {	Line 1292 typedef struct {
#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, including generated covariates V1V2 */	#define NCOVMAX 30 /*< Maximum number of covariates used in the model, including generated covariates V1V2 or V1age /
#define codtabm(h,k) (1 & (h-1) >> (k-1))+1	#define codtabm(h,k) (1 & (h-1) >> (k-1))+1
/#define decodtabm(h,k,cptcoveff)= (h <= (1<<cptcoveff)?(((h-1) >> (k-1)) & 1) +1 : -1)/	/#define decodtabm(h,k,cptcoveff)= (h <= (1<<cptcoveff)?(((h-1) >> (k-1)) & 1) +1 : -1)/
#define decodtabm(h,k,cptcoveff) (((h-1) >> (k-1)) & 1) +1	#define decodtabm(h,k,cptcoveff) (((h-1) >> (k-1)) & 1) +1
Line 1123 typedef struct {	Line 1320 typedef struct {
/* $State$ */	/* $State$ */
#include "version.h"	#include "version.h"
char version[]=__IMACH_VERSION__;	char version[]=__IMACH_VERSION__;
char copyright[]="May 2019,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2020";	char copyright[]="September 2022,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2020, Nihon University 2021-202, INED 2000-2022";
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 nagesqr=0, nforce=0; /* nagesqr=1 if model is including ageage, number of forces /	int nagesqr=0, nforce=0; /* nagesqr=1 if model is including ageage, number of forces /
/* Number of covariates model=V2+V1+ V3age+V2V4 */	/* Number of covariates model (1)=V2+V1+ V3age+V2V4 */
int cptcovn=0; /*< cptcovn number of covariates added in the model (excepting constant and age and ageproduct) */	/* Model(2) V1 + V2 + V3 + V8 + V7V8 + V5V6 + V8age + V3age + ageage /
int cptcovt=0; /*< cptcovt number of covariates added in the model (excepting constant and age) /	int cptcovn=0; /*< cptcovn decodemodel: number of covariates k of the models excluding ageproducts =6 and ageage but including products /
int cptcovs=0; /*< cptcovs number of simple covariates in the model V2+V1 =2 /	int cptcovt=0; /*< cptcovt: total number of covariates of the model (2) nbocc(+)+1 = 8 excepting constant and age and ageage */
int cptcovsnq=0; /*< cptcovsnq number of simple covariates in the model but non quantitative V2+V1 =2 /	int cptcovs=0; /*< cptcovs number of SIMPLE covariates in the model V2+V1 =2 (dummy or quantit or time varying) /
	int cptcovsnq=0; /*< cptcovsnq number of SIMPLE covariates in the model but non quantitative V2+V1 =2 /
int cptcovage=0; /*< Number of covariates with age: V3age only =1 */	int cptcovage=0; /*< Number of covariates with age: V3age only =1 */
int cptcovprodnoage=0; /*< Number of covariate products without age /	int cptcovprodnoage=0; /*< Number of covariate products without age /
int cptcoveff=0; /* Total number of covariates to vary for printing results */	int cptcoveff=0; /* Total number of single dummy covariates (fixed or time varying) to vary for printing results (2*cptcoveff combinations of dummies)(computed in tricode as cptcov) /
int ncovf=0; /* Total number of effective fixed covariates (dummy or quantitative) in the model */	int ncovf=0; /* Total number of effective fixed covariates (dummy or quantitative) in the model */
int ncovv=0; /* Total number of effective (wave) varying covariates (dummy or quantitative) in the model */	int ncovv=0; /* Total number of effective (wave) varying covariates (dummy or quantitative) in the model */
	int ncovvt=0; /* Total number of effective (wave) varying covariates (dummy or quantitative or products [without age]) in the model */
int ncova=0; /* Total number of effective (wave and stepm) varying with age covariates (dummy of quantitative) in the model */	int ncova=0; /* Total number of effective (wave and stepm) varying with age covariates (dummy of quantitative) in the model */
int nsd=0; /*< Total number of single dummy variables (output) /	int nsd=0; /*< Total number of single dummy variables (output) /
int nsq=0; /*< Total number of single quantitative variables (output) /	int nsq=0; /*< Total number of single quantitative variables (output) /
Line 1147 int nqfveff=0; /**< nqfveff Number of Qu	Line 1346 int nqfveff=0; /**< nqfveff Number of Qu
int ntveff=0; /*< ntveff number of effective time varying variables /	int ntveff=0; /*< ntveff number of effective time varying variables /
int nqtveff=0; /*< ntqveff number of effective time varying quantitative variables /	int nqtveff=0; /*< ntqveff number of effective time varying quantitative variables /
int cptcov=0; /* Working variable */	int cptcov=0; /* Working variable */
	int firstobs=1, lastobs=10; /* nobs = lastobs-firstobs+1 declared globally ;*/
int nobs=10; /* Number of observations in the data lastobs-firstobs */	int nobs=10; /* Number of observations in the data lastobs-firstobs */
int ncovcombmax=NCOVMAX; /* Maximum calculated number of covariate combination = pow(2, cptcoveff) */	int ncovcombmax=NCOVMAX; /* Maximum calculated number of covariate combination = pow(2, cptcoveff) */
int npar=NPARMAX;	int npar=NPARMAX; /* Number of parameters (nlstate+ndeath-1)nlstatencovmodel; */
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 */
int ncovmodel=0, ncovcol=0; /* Total number of covariables including constant a121 +b12x ncovmodel=2 */	int ncovmodel=0, ncovcol=0; /* Total number of covariables including constant a121 +b12x ncovmodel=2 */
int nqv=0, ntv=0, nqtv=0; /* Total number of quantitative variables, time variable (dummy), quantitative and time variable */	int nqv=0, ntv=0, nqtv=0; /* Total number of quantitative variables, time variable (dummy), quantitative and time variable*/
	int ncovcolt=0; /* ncovcolt=ncovcol+nqv+ntv+nqtv; total of covariates in the data, not in the model equation*/
int popbased=0;	int popbased=0;

int wav; / Number of waves for this individuual 0 is possible */	int wav; / Number of waves for this individuual 0 is possible */
Line 1286 int ncodemaxwundef; / ncodemax[j]= Nu	Line 1487 int ncodemaxwundef; / ncodemax[j]= Nu
double *agev,moisnais, annais, moisdc, andc,mint, *anint;	double *agev,moisnais, annais, moisdc, andc,mint, *anint;
double pmmij, probs; / Global pointer */	double pmmij, probs; / Global pointer */
double *mobaverage, mobaverages; / New global variable */	double *mobaverage, mobaverages; / New global variable */
	double *precov; / New global variable to store for each resultline, values of model covariates given by the resultlines (in order to speed up) */
double ageexmed,agecens;	double ageexmed,agecens;
double dateintmean=0;	double dateintmean=0;
double anprojd, mprojd, jprojd; /* For eventual projections */	double anprojd, mprojd, jprojd; /* For eventual projections */
Line 1305 double **cotvar; / Time varying covari	Line 1507 double **cotvar; / Time varying covari
double **cotqvar; / Time varying quantitative covariate itqv */	double **cotqvar; / Time varying quantitative covariate itqv */
double idx;	double idx;
int *nbcode, Tvar; /*< model=V2 => Tvar[1]= 2 /	int *nbcode, Tvar; /*< model=V2 => Tvar[1]= 2 /
/* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */	/* Some documentation */
/k 1 2 3 4 5 6 7 8 9 /	/* Design original data
/Tvar[k]= 5 4 3 6 5 2 7 1 1 /	* V1 V2 V3 V4 V5 V6 V7 V8 Weight ddb ddth d1st s1 V9 V10 V11 V12 s2 V9 V10 V11 V12
/* Tndvar[k] 1 2 3 4 5 */	* < ncovcol=6 > nqv=2 (V7 V8) dv dv dv qtv dv dv dvv qtv
/TDvar 4 3 6 7 1 / /* For outputs only; combination of dummies fixed or varying */	* ntv=3 nqtv=1
/* Tns[k] 1 2 2 4 5 / / Number of single cova */	* cptcovn number of covariates (not including constant and age or age*age) = number of plus sign + 1 = 10+1=11
/* TvarsD[k] 1 2 3 / / Number of single dummy cova */	* For time varying covariate, quanti or dummies
/* TvarsDind 2 3 9 / / position K of single dummy cova */	* cotqvar[wav][iv(1 to nqtv)][i]= [1][12][i]=(V12) quanti
/* TvarsQ[k] 1 2 / / Number of single quantitative cova */	* cotvar[wav][ntv+iv][i]= [3+(1 to nqtv)][i]=(V12) quanti
/* TvarsQind 1 6 / / position K of single quantitative cova */	* cotvar[wav][iv(1 to ntv)][i]= [1][1][i]=(V9) dummies at wav 1
/* Tprod[i]=k 4 7 */	* cotvar[wav][iv(1 to ntv)][i]= [1][2][i]=(V10) dummies at wav 1
/* Tage[i]=k 5 8 */	* covar[Vk,i], value of the Vkth fixed covariate dummy or quanti for individual i:
/* */	* covar[1][i]= (V1), covar[4][i]=(V4), covar[8][i]=(V8)
	* Model V2 + V1 + V3age + V3 + V5V6 + V7V8 + V8age + V8 + V9 + V9*age + V10
	* k= 1 2 3 4 5 6 7 8 9 10 11
	*/
	/* According to the model, more columns can be added to covar by the product of covariates */
	/* ncovcol=1(Males=0 Females=1) nqv=1(raedyrs) ntv=2(withoutiadl=0 withiadl=1, witoutadl=0 withoutadl=1) nqtv=1(bmi) nlstate=3 ndeath=1
	# States 1=Coresidence, 2 Living alone, 3 Institution
	# V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi
	*/
	/* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */
	/* k 1 2 3 4 5 6 7 8 9 */
	/Typevar[k]= 0 0 0 2 1 0 2 1 0 //0 for simple covariate (dummy, quantitative,/
	/* fixed or varying), 1 for age product, 2 for*/
	/* product */
	/Dummy[k]= 1 0 0 1 3 1 1 2 0 //Dummy[k] 0=dummy (0 1), 1 quantitative /
	/(single or product without age), 2 dummy/
	/* with age product, 3 quant with age product*/
	/Tvar[k]= 5 4 3 6 5 2 7 1 1 /
	/* nsd 1 2 3 / / Counting single dummies covar fixed or tv */
	/TnsdVar[Tvar] 1 2 3 /
	/Tvaraff[nsd] 4 3 1 / /* ID of single dummy cova fixed or timevary*/
	/TvarsD[nsd] 4 3 1 / /* ID of single dummy cova fixed or timevary*/
	/TvarsDind[nsd] 2 3 9 / /* position K of single dummy cova */
	/* nsq 1 2 / / Counting single quantit tv */
	/* TvarsQ[k] 5 2 / / Number of single quantitative cova */
	/* TvarsQind 1 6 / / position K of single quantitative cova */
	/* Tprod[i]=k 1 2 / / Position in model of the ith prod without age */
	/* cptcovage 1 2 / / Counting covage in the model equation /
	/* Tage[cptcovage]=k 5 8 / / Position in the model of ith covage /
	/* Tvard[1][1]@4={4,3,1,2} V4V3 V1V2 / / Position in model of the ith prod without age */
	/* Tvardk[4][1]=4;Tvardk[4][2]=3;Tvardk[7][1]=1;Tvardk[7][2]=2 / / Variables of a prod at position in the model equation*/
	/* TvarF TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 ID of fixed covariates or product V2, V1V2, V1 /
	/* TvarFind; TvarFind[1]=6, TvarFind[2]=7, TvarFind[3]=9 // Inverse V2(6) is first fixed (single or prod) */
/* Type */	/* Type */
/* V 1 2 3 4 5 */	/* V 1 2 3 4 5 */
/* F F V V V */	/* F F V V V */
/* D Q D D Q */	/* D Q D D Q */
/* */	/* */
int *TvarsD;	int *TvarsD;
	int *TnsdVar;
int *TvarsDind;	int *TvarsDind;
int *TvarsQ;	int *TvarsQ;
int *TvarsQind;	int *TvarsQind;

#define MAXRESULTLINES 10	#define MAXRESULTLINESPONE 10+1
int nresult=0;	int nresult=0;
int parameterline=0; /* # of the parameter (type) line */	int parameterline=0; /* # of the parameter (type) line */
int TKresult[MAXRESULTLINES];	int TKresult[MAXRESULTLINESPONE]; /* TKresult[nres]=k for each resultline nres give the corresponding combination of dummies */
int Tresult[MAXRESULTLINES][NCOVMAX];/* For dummy variable , value (output) */	int resultmodel[MAXRESULTLINESPONE][NCOVMAX];/* resultmodel[k1]=k3: k1th position in the model corresponds to the k3 position in the resultline */
int Tinvresult[MAXRESULTLINES][NCOVMAX];/* For dummy variable , value (output) */	int modelresult[MAXRESULTLINESPONE][NCOVMAX];/* modelresult[k3]=k1: k1th position in the model corresponds to the k3 position in the resultline */
int Tvresult[MAXRESULTLINES][NCOVMAX]; /* For dummy variable , variable # (output) */	int Tresult[MAXRESULTLINESPONE][NCOVMAX];/* Tresult[nres][result_position]= value of the dummy variable at the result_position in the nres resultline */
double Tqresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , value (output) */	int Tinvresult[MAXRESULTLINESPONE][NCOVMAX];/* Tinvresult[nres][Name of a dummy variable]= value of the variable in the result line */
double Tqinvresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , value (output) */	double TinvDoQresult[MAXRESULTLINESPONE][NCOVMAX];/* TinvDoQresult[nres][Name of a Dummy or Q variable]= value of the variable in the result line */
int Tvqresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , variable # (output) */	int Tvresult[MAXRESULTLINESPONE][NCOVMAX]; /* Tvresult[nres][result_position]= name of the dummy variable at the result_position in the nres resultline */
	double Tqresult[MAXRESULTLINESPONE][NCOVMAX]; /* Tqresult[nres][result_position]= value of the variable at the result_position in the nres resultline */
	double Tqinvresult[MAXRESULTLINESPONE][NCOVMAX]; /* For quantitative variable , value (output) */
	int Tvqresult[MAXRESULTLINESPONE][NCOVMAX]; /* Tvqresult[nres][result_position]= id of the variable at the result_position in the nres resultline */

	/* ncovcol=1(Males=0 Females=1) nqv=1(raedyrs) ntv=2(withoutiadl=0 withiadl=1, witoutadl=0 withoutadl=1) nqtv=1(bmi) nlstate=3 ndeath=1
	# States 1=Coresidence, 2 Living alone, 3 Institution
	# V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi
	*/
/* int TDvar; /\< TDvar[1]=4, TDvarF[2]=3, TDvar[3]=6 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 \/ */	/* int TDvar; /\< TDvar[1]=4, TDvarF[2]=3, TDvar[3]=6 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 \/ */
int TvarF; /< TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 /	int TvarF; /< TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 /
int TvarFind; /< TvarFind[1]=6, TvarFind[2]=7, Tvarind[3]=9 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 /	int TvarFind; /< TvarFind[1]=6, TvarFind[2]=7, Tvarind[3]=9 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 /
Line 1354 int TvarVD; / TvarVD[1]=V5 in V5+V4+V3	Line 1596 int TvarVD; / TvarVD[1]=V5 in V5+V4+V3
int TvarVDind; / TvarVDind[1]=1 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Only simple fixed quantitative variable */	int TvarVDind; / TvarVDind[1]=1 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Only simple fixed quantitative variable */
int TvarVQ; / TvarVQ[1]=V5 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Only simple time varying quantitative variable */	int TvarVQ; / TvarVQ[1]=V5 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Only simple time varying quantitative variable */
int TvarVQind; / TvarVQind[1]=1 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Only simple time varying quantitative variable */	int TvarVQind; / TvarVQind[1]=1 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Only simple time varying quantitative variable */
	int TvarVV; / We count ncovvt time varying covariates (single or products without age) and put their name into TvarVV */
	int TvarVVind; / We count ncovvt time varying covariates (single or products without age) and put their name into TvarVV */
	/# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 /
	/* model V1+V3+ageV1+ageV3+V1V3 /
	/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */
	/* TvarVV={3,1,3}, for V3 and then the product V1V3 is decomposed into V1 and V3 /
	/* TvarVVind={2,5,5}, for V3 and then the product V1V3 is decomposed into V1 and V3 /
int Tvarsel; /< Selected covariates for output /	int Tvarsel; /< Selected covariates for output /
double Tvalsel; /< Selected modality value of covariate for output /	double Tvalsel; /< Selected modality value of covariate for output /
int Typevar; /< 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product /	int Typevar; /< 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product /
Line 1370 int TmodelInvQind; /* Tmodelqind[1]=1	Line 1618 int TmodelInvQind; /* Tmodelqind[1]=1
int Ndum; /* Freq of modality (tricode */	int Ndum; /* Freq of modality (tricode */
/* int *codtab;/ /*< codtab=imatrix(1,100,1,10); /	/* int *codtab;/ /*< codtab=imatrix(1,100,1,10); /
int **Tvard;	int **Tvard;
	int **Tvardk;
int Tprod;/< Gives the k position of the k1 product /	int Tprod;/< Gives the k position of the k1 product /
/* Tprod[k1=1]=3(=V1V4) for V2+V1+V1V4+ageV3 /	/* Tprod[k1=1]=3(=V1V4) for V2+V1+V1V4+ageV3 /
int Tposprod; /< Gives the k1 product from the k position /	int Tposprod; /< Gives the k1 product from the k position /
Line 1540 char cutl(char blocc, char *alocc, cha	Line 1789 char cutl(char blocc, char *alocc, cha
{	{
/* cuts string in into blocc and alocc where blocc ends before FIRST occurence of char 'occ'	/* cuts string in into blocc and alocc where blocc ends before FIRST occurence of char 'occ'
and alocc starts after first occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')	and alocc starts after first occurence of char 'occ' : ex cutv(blocc,alocc,"abcdef2ghi2j",'2')
gives blocc="abcdef" and alocc="ghi2j".	gives alocc="abcdef" and blocc="ghi2j".
If occ is not found blocc is null and alocc is equal to in. Returns blocc	If occ is not found blocc is null and alocc is equal to in. Returns blocc
*/	*/
char s, t;	char s, t;
Line 1822 char *subdirf(char fileres[])	Line 2071 char *subdirf(char fileres[])
/************* function subdirf2 *********/	/************* function subdirf2 *********/
char subdirf2(char fileres[], char preop)	char subdirf2(char fileres[], char preop)
{	{
	/* Example subdirf2(optionfilefiname,"FB_") with optionfilefiname="texte", result="texte/FB_texte"
	Errors in subdirf, 2, 3 while printing tmpout is
	rewritten within the same printf. Workaround: many printfs */
/* Caution optionfilefiname is hidden */	/* Caution optionfilefiname is hidden */
strcpy(tmpout,optionfilefiname);	strcpy(tmpout,optionfilefiname);
strcat(tmpout,"/");	strcat(tmpout,"/");
Line 2193 void linmin(double p[], double xi[], int	Line 2444 void linmin(double p[], double xi[], int
#endif	#endif
#ifdef LINMINORIGINAL	#ifdef LINMINORIGINAL
#else	#else
if(fb == fx){ /* Flat function in the direction */	if(fb == fx){ /* Flat function in the direction */
xmin=xx;	xmin=xx;
*flat=1;	*flat=1;
}else{	}else{
*flat=0;	*flat=0;
#endif	#endif
/Flat mnbrak2 shift (ax=0.000000000000, fa=51626.272983130431), (bx=-1.618034000000, fb=51590.149499362531), (cx=-4.236068025156, fc=51590.149499362531) /	/Flat mnbrak2 shift (ax=0.000000000000, fa=51626.272983130431), (bx=-1.618034000000, fb=51590.149499362531), (cx=-4.236068025156, fc=51590.149499362531) /
Line 2254 void linmin(double p[], double xi[], int	Line 2505 void linmin(double p[], double xi[], int

/************* powell **********************/	/************* powell **********************/
/*	/*
Minimization of a function func of n variables. Input consists of an initial starting point	Minimization of a function func of n variables. Input consists in an initial starting point
p[1..n] ; an initial matrix xi[1..n][1..n] , whose columns contain the initial set of di-	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	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	such that failure to decrease by more than this amount in 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	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.	function value at p , and iter is the number of iterations taken. The routine linmin is used.
*/	*/
Line 2282 void powell(double p[], double **xi, int	Line 2533 void powell(double p[], double **xi, int
double fp,fptt;	double fp,fptt;
double *xits;	double *xits;
int niterf, itmp;	int niterf, itmp;
#ifdef LINMINORIGINAL
#else

flatdir=ivector(1,n);
for (j=1;j<=n;j++) flatdir[j]=0;
#endif

pt=vector(1,n);	pt=vector(1,n);
ptt=vector(1,n);	ptt=vector(1,n);
Line 2295 void powell(double p[], double **xi, int	Line 2540 void powell(double p[], double **xi, int
xits=vector(1,n);	xits=vector(1,n);
fret=(func)(p);	fret=(func)(p);
for (j=1;j<=n;j++) pt[j]=p[j];	for (j=1;j<=n;j++) pt[j]=p[j];
rcurr_time = time(NULL);	rcurr_time = time(NULL);
	fp=(fret); / Initialisation */
for (iter=1;;++(iter)) {	for (iter=1;;++(iter)) {
fp=(fret); / From former iteration or initial value */
ibig=0;	ibig=0;
del=0.0;	del=0.0;
rlast_time=rcurr_time;	rlast_time=rcurr_time;
/* (void) gettimeofday(&curr_time,&tzp); */	/* (void) gettimeofday(&curr_time,&tzp); */
rcurr_time = time(NULL);	rcurr_time = time(NULL);
curr_time = *localtime(&rcurr_time);	curr_time = *localtime(&rcurr_time);
printf("\nPowell iter=%d -2LL=%.12f %ld sec. %ld sec.",iter,*fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout);	/* printf("\nPowell iter=%d -2LL=%.12f gain=%.12f=%.3g %ld sec. %ld sec.",iter,fret, fp-fret,fp-fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout); /
fprintf(ficlog,"\nPowell iter=%d -2LL=%.12f %ld sec. %ld sec.",iter,*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog);	/* fprintf(ficlog,"\nPowell iter=%d -2LL=%.12f gain=%.12f=%.3g %ld sec. %ld sec.",iter,fret, fp-fret,fp-fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog); /
	printf("\nPowell iter=%d -2LL=%.12f gain=%.3lg %ld sec. %ld sec.",iter,fret,fp-fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout);
	fprintf(ficlog,"\nPowell iter=%d -2LL=%.12f gain=%.3lg %ld sec. %ld sec.",iter,fret,fp-fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog);
/* fprintf(ficrespow,"%d %.12f %ld",iter,fret,curr_time.tm_sec-start_time.tm_sec); */	/* fprintf(ficrespow,"%d %.12f %ld",iter,fret,curr_time.tm_sec-start_time.tm_sec); */
	fp=(fret); / From former iteration or initial value */
for (i=1;i<=n;i++) {	for (i=1;i<=n;i++) {
fprintf(ficrespow," %.12lf", p[i]);	fprintf(ficrespow," %.12lf", p[i]);
}	}
Line 2411 void powell(double p[], double **xi, int	Line 2659 void powell(double p[], double **xi, int
/* Convergence test will use last linmin estimation (fret) and compare former iteration (fp) */	/* 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 /	/* 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) */	/* New value of last point Pn is not computed, P(n-1) */
for(j=1;j<=n;j++) {	for(j=1;j<=n;j++) {
if(flatdir[j] >0){	if(flatdir[j] >0){
printf(" p(%d)=%lf flat=%d ",j,p[j],flatdir[j]);	printf(" p(%d)=%lf flat=%d ",j,p[j],flatdir[j]);
fprintf(ficlog," p(%d)=%lf flat=%d ",j,p[j],flatdir[j]);	fprintf(ficlog," p(%d)=%lf flat=%d ",j,p[j],flatdir[j]);
}	}
/* printf("\n"); */	/* printf("\n"); */
/* fprintf(ficlog,"\n"); */	/* fprintf(ficlog,"\n"); */
}	}
/* if (2.0fabs(fp-(fret)) <= ftol(fabs(fp)+fabs(fret))) { /\* Did we reach enough precision? \/ /	/* if (2.0fabs(fp-(fret)) <= ftol(fabs(fp)+fabs(fret))) { /\* Did we reach enough precision? \/ /
if (2.0fabs(fp-(fret)) <= ftol) { /* Did we reach enough precision? */	if (2.0fabs(fp-(fret)) <= ftol) { /* Did we reach enough precision? */
/* We could compare with a chi^2. chisquare(0.95,ddl=1)=3.84 */	/* We could compare with a chi^2. chisquare(0.95,ddl=1)=3.84 */
Line 2456 void powell(double p[], double **xi, int	Line 2704 void powell(double p[], double **xi, int
}	}
#endif	#endif

#ifdef LINMINORIGINAL
#else
free_ivector(flatdir,1,n);
#endif
free_vector(xit,1,n);	free_vector(xit,1,n);
free_vector(xits,1,n);	free_vector(xits,1,n);
free_vector(ptt,1,n);	free_vector(ptt,1,n);
Line 2573 void powell(double p[], double **xi, int	Line 2817 void powell(double p[], double **xi, int
}	}
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
	#ifdef FLATSUP
	free_vector(xit,1,n);
	free_vector(xits,1,n);
	free_vector(ptt,1,n);
	free_vector(pt,1,n);
	return;
	#endif
}	}
#endif	#endif
printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig);	printf("Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig);
Line 2604 void powell(double p[], double **xi, int	Line 2855 void powell(double p[], double **xi, int

double prevalim(double prlim, int nlstate, double x[], double age, double oldm, double savm, double ftolpl, int *ncvyear, int ij, int nres)	double prevalim(double prlim, int nlstate, double x[], double age, double oldm, double savm, double ftolpl, int *ncvyear, int ij, int nres)
{	{
/**< Computes the prevalence limit in each live state at age x and for covariate combination ij	/**< Computes the prevalence limit in each live state at age x and for covariate combination ij . Nicely done
* (and selected quantitative values in nres)	* (and selected quantitative values in nres)
* by left multiplying the unit	* by left multiplying the unit
* matrix by transitions matrix until convergence is reached with precision ftolpl	* matrix by transitions matrix until convergence is reached with precision ftolpl
Line 2629 void powell(double p[], double **xi, int	Line 2880 void powell(double p[], double **xi, int
/* 0.51326036147820708, 0.48673963852179264} */	/* 0.51326036147820708, 0.48673963852179264} */
/* If we start from prlim again, prlim tends to a constant matrix */	/* If we start from prlim again, prlim tends to a constant matrix */

int i, ii,j,k;	int i, ii,j,k, k1;
double min, max, *meandiff, maxmax,sumnew=0.;	double min, max, *meandiff, maxmax,sumnew=0.;
/* double *matprod2(); / /* test */	/* double *matprod2(); / /* test */
double out, cov[NCOVMAX+1], pmij(); /* *pmmij is a global variable feeded with oldms etc /	double out, cov[NCOVMAX+1], pmij(); /* *pmmij is a global variable feeded with oldms etc /
Line 2657 void powell(double p[], double **xi, int	Line 2908 void powell(double p[], double **xi, int
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)	if(nagesqr==1){
cov[3]= agefin*agefin;;	cov[3]= agefin*agefin;
for (k=1; k<=nsd;k++) { /* For single dummy covariates only */	}
/* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */	/* Model(2) V1 + V2 + V3 + V8 + V7V8 + V5V6 + V8age + V3age + ageage /
cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)];	/* total number of covariates of the model nbocc(+)+1 = 8 excepting constant and age and ageage /
/* printf("prevalim Dummy combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */	for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */
}	if(Typevar[k1]==1){ /* A product with age */
for (k=1; k<=nsq;k++) { /* For single varying covariates only */	cov[2+nagesqr+k1]=precov[nres][k1]*cov[2];
/* Here comes the value of quantitative after renumbering k with single quantitative covariates */	}else{
cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k];	cov[2+nagesqr+k1]=precov[nres][k1];
/* printf("prevalim Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); */	}
}	}/* End of loop on model equation */
for (k=1; k<=cptcovage;k++){ /* For product with age */
if(Dummy[Tvar[Tage[k]]]){	/* Start of old code (replaced by a loop on position in the model equation */
cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2];	/* for (k=1; k<=nsd;k++) { /\* For single dummy covariates only of the model \/ /
} else{	/* /\* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates \/ /
cov[2+nagesqr+Tage[k]]=Tqresult[nres][k];	/* /\* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,TvarsD[k])]; \/ /
}	/* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,TnsdVar[TvarsD[k]])]; */
/* printf("prevalim Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); */	/* /\* model = 1 +age + V1V3 + ageV1 + V2 + V1 + ageV2 + V3 + V3age + V1V2 /
}	/* * k 1 2 3 4 5 6 7 8 */
for (k=1; k<=cptcovprod;k++){ /* For product without age */	/* cov[] 1 2 3 4 5 6 7 8 9 10 /
/* printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); */	/* TypeVar[k] 2 1 0 0 1 0 1 2 /
if(Dummy[Tvard[k][1]==0]){	/* Dummy[k] 0 2 0 0 2 0 2 0 /
if(Dummy[Tvard[k][2]==0]){	/* Tvar[k] 4 1 2 1 2 3 3 5 /
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)];	/* nsd=3 (1) (2) (3) /
}else{	/* TvarsD[nsd] [1]=2 1 3 /
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k];	/* TnsdVar [2]=2 [1]=1 [3]=3 /
}	/* TvarsDind[nsd](=k) [1]=3 [2]=4 [3]=6 /
}else{	/* Tage[] [1]=1 [2]=2 [3]=3 /
if(Dummy[Tvard[k][2]==0]){	/* Tvard[] [1][1]=1 [2][1]=1 /
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]];	/* * [1][2]=3 [2][2]=2 */
}else{	/* Tprod[](=k) [1]=1 [2]=8 /
cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]];	/* TvarsDp(=Tvar) [1]=1 [2]=2 [3]=3 [4]=5 /
}	/* TvarD (=k) [1]=1 [2]=3 [3]=4 [3]=6 [4]=6 /
}	/* TvarsDpType /
}	/* si model= 1 + age + V3 + V2age + V2 + V3age /
	/* * nsd=1 (1) (2) */
	/* TvarsD[nsd] 3 2 /
	/* TnsdVar (3)=1 (2)=2 /
	/* TvarsDind[nsd](=k) [1]=1 [2]=3 /
	/* Tage[] [1]=2 [2]= 3 /
	/* \/ /
	/* /\* cov[++k1]=nbcode[TvarsD[k]][codtabm(ij,k)]; \/ /
	/* /\* printf("prevalim Dummy combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); \/ /
	/* } */
	/* for (k=1; k<=nsq;k++) { /\* For single quantitative varying covariates only of the model \/ /
	/* /\* Here comes the value of quantitative after renumbering k with single quantitative covariates \/ /
	/* /\* Tqresult[nres][result_position]= value of the variable at the result_position in the nres resultline \/ /
	/* /\* cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; \/ /
	/* cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][resultmodel[nres][k1]] */
	/* /\* cov[++k1]=Tqresult[nres][k]; \/ /
	/* /\* printf("prevalim Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); \/ /
	/* } */
	/* for (k=1; k<=cptcovage;k++){ /\* For product with age \/ /
	/* if(Dummy[Tage[k]]==2){ /\* dummy with age \/ /
	/* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]cov[2]; /
	/* /\* cov[++k1]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]cov[2]; \/ */
	/* } else if(Dummy[Tage[k]]==3){ /\* quantitative with age \/ /
	/* cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; */
	/* /\* cov[++k1]=Tqresult[nres][k]; \/ /
	/* } */
	/* /\* printf("prevalim Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); \/ /
	/* } */
	/* for (k=1; k<=cptcovprod;k++){ /\* For product without age \/ /
	/* /\* printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); \/ /
	/* if(Dummy[Tvard[k][1]]==0){ */
	/* if(Dummy[Tvard[k][2]]==0){ */
	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */
	/* /\* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; \/ /
	/* }else{ */
	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * Tqresult[nres][k]; */
	/* /\* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; \/ /
	/* } */
	/* }else{ */
	/* if(Dummy[Tvard[k][2]]==0){ */
	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])] * Tqinvresult[nres][Tvard[k][1]]; */
	/* /\* cov[++k1]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; \/ /
	/* }else{ */
	/* cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; */
	/* /\* cov[++k1]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; \/ /
	/* } */
	/* } */
	/* } /\* End product without age \/ /
	/* ENd of old code */
/printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);/	/printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);/
/printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);/	/printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);/
/printf("ij=%d cov[3]=%lf \n",ij, cov[3]);/	/printf("ij=%d cov[3]=%lf \n",ij, cov[3]);/
/* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */	/* 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 \/ /
/* age and covariate values of ij are in 'cov' */	/* age and covariate values of ij are in 'cov' */
out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* Bug Valgrind */	out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); /* Bug Valgrind */

savm=oldm;	savm=oldm;
Line 2738 void powell(double p[], double **xi, int	Line 3037 void powell(double p[], double **xi, int
if(!first){	if(!first){
first=1;	first=1;
printf("Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d). Others in log file only...\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax);	printf("Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d). Others in log file only...\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax);
	fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax);
	}else if (first >=1 && first <10){
	fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax);
	first++;
	}else if (first ==10){
	fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax);
	printf("Warning: the stable prevalence dit not converge. This warning came too often, IMaCh will stop notifying, even in its log file. Look at the graphs to appreciate the non convergence.\n");
	fprintf(ficlog,"Warning: the stable prevalence no convergence; too many cases, giving up noticing, even in log file\n");
	first++;
}	}
fprintf(ficlog, "Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.d years and %d loops. Try to lower 'ftolpl'. Youngest age to start was %d=(%d-%d).\n", (int)age, maxmax, ftolpl, *ncvyear, ncvloop, (int)(agefin+stepm/YEARM), (int)(age-stepm/YEARM), (int)delaymax);

/* 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); */	/* 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); */
free_vector(min,1,nlstate);	free_vector(min,1,nlstate);
Line 2776 void powell(double p[], double **xi, int	Line 3083 void powell(double p[], double **xi, int
/* 0.51326036147820708, 0.48673963852179264} */	/* 0.51326036147820708, 0.48673963852179264} */
/* If we start from prlim again, prlim tends to a constant matrix */	/* If we start from prlim again, prlim tends to a constant matrix */

int i, ii,j,k;	int i, ii,j,k, k1;
int first=0;	int first=0;
double min, max, *meandiff, maxmax,sumnew=0.;	double min, max, *meandiff, maxmax,sumnew=0.;
/* double *matprod2(); / /* test */	/* double *matprod2(); / /* test */
Line 2813 void powell(double p[], double **xi, int	Line 3120 void powell(double p[], double **xi, int
/* newm points to the allocated table savm passed by the function it can be written, savm could be reallocated */	/* newm points to the allocated table savm passed by the function it can be written, savm could be reallocated */
/* Covariates have to be included here again */	/* Covariates have to be included here again */
cov[2]=agefin;	cov[2]=agefin;
if(nagesqr==1)	if(nagesqr==1){
cov[3]= agefin*agefin;;	cov[3]= agefin*agefin;;
for (k=1; k<=nsd;k++) { /* For single dummy covariates only */	}
/* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */	for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */
cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)];	if(Typevar[k1]==1){ /* A product with age */
/* printf("bprevalim Dummy agefin=%.0f combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov[%d]=%lf codtabm(%d,Tvar[%d])=%d \n",agefin,ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],2+nagesqr+TvarsDind[k],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */	cov[2+nagesqr+k1]=precov[nres][k1]*cov[2];
}
/* for (k=1; k<=cptcovn;k++) { */
/* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(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<=nsq;k++) { /* For single varying covariates only */
/* Here comes the value of quantitative after renumbering k with single quantitative covariates */
cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k];
/* printf("prevalim Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); */
}
/* 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)]; */
for (k=1; k<=cptcovage;k++){ /* For product with age */
if(Dummy[Tvar[Tage[k]]]){
cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2];
} else{
cov[2+nagesqr+Tage[k]]=Tqresult[nres][k];
}
/* printf("prevalim Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); */
}
for (k=1; k<=cptcovprod;k++){ /* For product without age */
/* printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); */
if(Dummy[Tvard[k][1]==0]){
if(Dummy[Tvard[k][2]==0]){
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)];
}else{
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k];
}
}else{	}else{
if(Dummy[Tvard[k][2]==0]){	cov[2+nagesqr+k1]=precov[nres][k1];
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]];
}else{
cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]];
}
}	}
}	}/* End of loop on model equation */

	/* Old code */

	/* for (k=1; k<=nsd;k++) { /\* For single dummy covariates only \/ /
	/* /\* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates \/ /
	/* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,TvarsD[k])]; */
	/* /\* printf("bprevalim Dummy agefin=%.0f combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov[%d]=%lf codtabm(%d,Tvar[%d])=%d \n",agefin,ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],2+nagesqr+TvarsDind[k],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); \/ /
	/* } */
	/* /\* for (k=1; k<=cptcovn;k++) { \/ /
	/* /\* /\\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(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<=nsq;k++) { /\* For single varying covariates only \/ /
	/* /\* Here comes the value of quantitative after renumbering k with single quantitative covariates \/ /
	/* cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; */
	/* /\* printf("prevalim Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); \/ /
	/* } */
	/* /\* 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)]; \/ /
	/* for (k=1; k<=cptcovage;k++){ /\* For product with age \/ /
	/* /\* if(Dummy[Tvar[Tage[k]]]== 2){ /\\* dummy with age \\/ ERROR ???\/ */
	/* if(Dummy[Tage[k]]== 2){ /\* dummy with age \/ /
	/* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]cov[2]; /
	/* } else if(Dummy[Tage[k]]== 3){ /\* quantitative with age \/ /
	/* cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; */
	/* } */
	/* /\* printf("prevalim Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); \/ /
	/* } */
	/* for (k=1; k<=cptcovprod;k++){ /\* For product without age \/ /
	/* /\* printf("prevalim Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); \/ /
	/* if(Dummy[Tvard[k][1]]==0){ */
	/* if(Dummy[Tvard[k][2]]==0){ */
	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */
	/* }else{ */
	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * Tqresult[nres][k]; */
	/* } */
	/* }else{ */
	/* if(Dummy[Tvard[k][2]]==0){ */
	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])] * Tqinvresult[nres][Tvard[k][1]]; */
	/* }else{ */
	/* cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; */
	/* } */
	/* } */
	/* } */

/printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);/	/printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);/
/printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);/	/printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);/
Line 2908 void powell(double p[], double **xi, int	Line 3227 void powell(double p[], double **xi, int

maxmax=0.;	maxmax=0.;
for(i=1; i<=nlstate; i++){	for(i=1; i<=nlstate; i++){
meandiff[i]=(max[i]-min[i])/(max[i]+min[i])2.; / mean difference for each column */	meandiff[i]=(max[i]-min[i])/(max[i]+min[i])2.; / mean difference for each column, could be nan! */
maxmax=FMAX(maxmax,meandiff[i]);	maxmax=FMAX(maxmax,meandiff[i]);
/* printf("Back age= %d meandiff[%d]=%f, agefin=%d max[%d]=%f min[%d]=%f maxmax=%f\n", (int)age, i, meandiff[i],(int)agefin, i, max[i], i, min[i],maxmax); */	/* printf("Back age= %d meandiff[%d]=%f, agefin=%d max[%d]=%f min[%d]=%f maxmax=%f\n", (int)age, i, meandiff[i],(int)agefin, i, max[i], i, min[i],maxmax); */
} /* i loop */	} /* i loop */
Line 2968 double pmij(double ps, double *cov,	Line 3287 double pmij(double ps, double *cov,
/* printf("Int j<i s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */	/* printf("Int j<i s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */
}	}
ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */	ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */
/* printf("s1=%.17e, lnpijopii=%.17e\n",s1,lnpijopii); */	/* printf("Debug pmij() i=%d j=%d nc=%d s1=%.17f, lnpijopii=%.17f\n",i,j,nc, s1,lnpijopii); */
}	}
for(j=i+1; j<=nlstate+ndeath;j++){	for(j=i+1; j<=nlstate+ndeath;j++){
for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){	for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){
Line 2977 double pmij(double ps, double *cov,	Line 3296 double pmij(double ps, double *cov,
/* printf("Int j>i s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */	/* printf("Int j>i s1=%.17e, lnpijopii=%.17e %lx %lx\n",s1,lnpijopii,s1,lnpijopii); */
}	}
ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */	ps[i][j]=lnpijopii; /* In fact ln(pij/pii) */
	/* printf("Debug pmij() i=%d j=%d nc=%d s1=%.17f, lnpijopii=%.17f\n",i,j,nc, s1,lnpijopii); */
}	}
}	}

for(i=1; i<= nlstate; i++){	for(i=1; i<= nlstate; i++){
s1=0;	s1=0;
for(j=1; j<i; j++){	for(j=1; j<i; j++){
	/* printf("debug1 %d %d ps=%lf exp(ps)=%lf \n",i,j,ps[i][j],exp(ps[i][j])); */
s1+=exp(ps[i][j]); /* In fact sums pij/pii */	s1+=exp(ps[i][j]); /* In fact sums pij/pii */
/printf("debug1 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); /
}	}
for(j=i+1; j<=nlstate+ndeath; j++){	for(j=i+1; j<=nlstate+ndeath; j++){
	/* printf("debug2 %d %d ps=%lf exp(ps)=%lf \n",i,j,ps[i][j],exp(ps[i][j])); */
s1+=exp(ps[i][j]); /* In fact sums pij/pii */	s1+=exp(ps[i][j]); /* In fact sums pij/pii */
/printf("debug2 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); /
}	}
/* s1= sum_{j<>i} pij/pii=(1-pii)/pii and thus pii is known from s1 */	/* s1= sum_{j<>i} pij/pii=(1-pii)/pii and thus pii is known from s1 */
ps[i][i]=1./(s1+1.);	ps[i][i]=1./(s1+1.);
/* Computing other pijs */	/* Computing other pijs */
for(j=1; j<i; j++)	for(j=1; j<i; j++)
ps[i][j]= exp(ps[i][j])*ps[i][i];	ps[i][j]= exp(ps[i][j])ps[i][i];/ Bug valgrind */
for(j=i+1; j<=nlstate+ndeath; j++)	for(j=i+1; j<=nlstate+ndeath; j++)
ps[i][j]= exp(ps[i][j])*ps[i][i];	ps[i][j]= exp(ps[i][j])*ps[i][i];
/* ps[i][nlstate+1]=1.-s1- ps[i][i];/ / Sum should be 1 */	/* ps[i][nlstate+1]=1.-s1- ps[i][i];/ / Sum should be 1 */
Line 3027 double pmij(double ps, double *cov,	Line 3347 double pmij(double ps, double *cov,
/* double bmij(double ps, double cov, int ncovmodel, double x, int nlstate, double *prevacurrent, double dnewm, double doldm, double dsavm, int ij ) /	/* double bmij(double ps, double cov, int ncovmodel, double x, int nlstate, double *prevacurrent, double dnewm, double doldm, double dsavm, int ij ) /
double bmij(double ps, double cov, int ncovmodel, double x, int nlstate, double ***prevacurrent, int ij )	double bmij(double ps, double cov, int ncovmodel, double x, int nlstate, double ***prevacurrent, int ij )
{	{
/* Computes the backward probability at age agefin and covariate combination ij. In fact cov is already filled and x too.	/* Computes the backward probability at age agefin, cov[2], and covariate combination 'ij'. In fact cov is already filled and x too.
* Call to pmij(cov and x), call to cross prevalence, sums and inverses, left multiply, and returns in ps as well as bmij.	* Call to pmij(cov and x), call to cross prevalence, sums and inverses, left multiply, and returns in ps as well as bmij.
*/	*/
int i, ii, j,k;	int i, ii, j,k;
Line 3042 double pmij(double ps, double *cov,	Line 3362 double pmij(double ps, double *cov,
doldm=ddoldms; /* global pointers */	doldm=ddoldms; /* global pointers */
dnewm=ddnewms;	dnewm=ddnewms;
dsavm=ddsavms;	dsavm=ddsavms;

	/* Debug */
	/* printf("Bmij ij=%d, cov[2}=%f\n", ij, cov[2]); */
agefin=cov[2];	agefin=cov[2];
/* Bx = Diag(w_x) P_x Diag(Sum_i w^i_x p^ij_x */	/* Bx = Diag(w_x) P_x Diag(Sum_i w^i_x p^ij_x */
/* bmij // age is cov[2], ij is included in cov, but we need for	/* bmij // age is cov[2], ij is included in cov, but we need for
Line 3050 double pmij(double ps, double *cov,	Line 3372 double pmij(double ps, double *cov,
/* dsavm=pmij(pmmij,cov,ncovmodel,x,nlstate); */	/* dsavm=pmij(pmmij,cov,ncovmodel,x,nlstate); */

/* P_x */	/* P_x */
pmmij=pmij(pmmij,cov,ncovmodel,x,nlstate); /This is forward probability from agefin to agefin + stepm /	pmmij=pmij(pmmij,cov,ncovmodel,x,nlstate); /This is forward probability from agefin to agefin + stepm //* Bug valgrind */
/* outputs pmmij which is a stochastic matrix in row */	/* outputs pmmij which is a stochastic matrix in row */

/* Diag(w_x) */	/* Diag(w_x) */
Line 3230 double matprod2(double out, double *	Line 3552 double matprod2(double out, double *

double *hpxij(double po, int nhstepm, double age, int hstepm, double x, int nlstate, int stepm, double oldm, double savm, int ij, int nres )	double *hpxij(double po, int nhstepm, double age, int hstepm, double x, int nlstate, int stepm, double oldm, double savm, int ij, int nres )
{	{
/* Computes the transition matrix starting at age 'age' and combination of covariate values corresponding to ij over	/* Already optimized with precov.
	Computes the transition matrix starting at age 'age' and dummies values in each resultline (loop on ij to find the corresponding combination) to over
'nhstepmhstepmstepm' months (i.e. until	'nhstepmhstepmstepm' months (i.e. until
age (in years) age+nhstepmhstepmstepm/12) by multiplying	age (in years) age+nhstepmhstepmstepm/12) by multiplying
nhstepm*hstepm matrices.	nhstepm*hstepm matrices.
Line 3242 double *hpxij(double *po, int nhstep	Line 3565 double *hpxij(double *po, int nhstep

*/	*/

int i, j, d, h, k;	int i, j, d, h, k, k1;
double **out, cov[NCOVMAX+1];	double **out, cov[NCOVMAX+1];
double **newm;	double **newm;
double agexact;	double agexact;
Line 3262 double *hpxij(double *po, int nhstep	Line 3585 double *hpxij(double *po, int nhstep
cov[1]=1.;	cov[1]=1.;
agexact=age+((h-1)hstepm + (d-1))stepm/YEARM; /* age just before transition */	agexact=age+((h-1)hstepm + (d-1))stepm/YEARM; /* age just before transition */
cov[2]=agexact;	cov[2]=agexact;
if(nagesqr==1)	if(nagesqr==1){
cov[3]= agexact*agexact;	cov[3]= agexact*agexact;
for (k=1; k<=nsd;k++) { /* For single dummy covariates only */
/* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */
cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)];
/* printf("hpxij Dummy combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,Tvar[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */
}
for (k=1; k<=nsq;k++) { /* For single varying covariates only */
/* Here comes the value of quantitative after renumbering k with single quantitative covariates */
cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k];
/* printf("hPxij Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); */
}
for (k=1; k<=cptcovage;k++){
if(Dummy[Tvar[Tage[k]]]){
cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2];
} else{
cov[2+nagesqr+Tage[k]]=Tqresult[nres][k];
}
/* printf("hPxij Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); */
}
for (k=1; k<=cptcovprod;k++){ /* */
/* printf("hPxij Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2]); */
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)];
}	}
	/* Model(2) V1 + V2 + V3 + V8 + V7V8 + V5V6 + V8age + V3age + ageage /
	/* total number of covariates of the model nbocc(+)+1 = 8 excepting constant and age and ageage /
	for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */
	if(Typevar[k1]==1){ /* A product with age */
	cov[2+nagesqr+k1]=precov[nres][k1]*cov[2];
	}else{
	cov[2+nagesqr+k1]=precov[nres][k1];
	}
	}/* End of loop on model equation */
	/* Old code */
	/* if( Dummy[k1]==0 && Typevar[k1]==0 ){ /\* Single dummy \/ /
	/* /\* V(Tvarsel)=Tvalsel=Tresult[nres][pos](value); V(Tvresult[nres][pos] (variable): V(variable)=value) \/ /
	/* /\* for (k=1; k<=nsd;k++) { /\\* For single dummy covariates only \\/ \/ */
	/* /\* /\\* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates \\/ \/ */
	/* /\* codtabm(ij,k) (1 & (ij-1) >> (k-1))+1 \/ /
	/* /\* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 \/ /
	/* /\* k 1 2 3 4 5 6 7 8 9 \/ /
	/* /\Tvar[k]= 5 4 3 6 5 2 7 1 1 \/ */
	/* /\* nsd 1 2 3 \/ /\ Counting single dummies covar fixed or tv \/ /
	/* /\TvarsD[nsd] 4 3 1 \/ /\* ID of single dummy cova fixed or timevary\/ /
	/* /\TvarsDind[k] 2 3 9 \/ /\* position K of single dummy cova \/ /
	/* /\* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)];or [codtabm(ij,TnsdVar[TvarsD[k]] \/ /
	/* cov[2+nagesqr+k1]=Tresult[nres][resultmodel[nres][k1]]; */
	/* /\* printf("hpxij Dummy combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov=%lf codtabm(%d,TnsdVar[TvarsD[%d])=%d \n",ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,TnsdVar[TvarsD[k]])],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,TnsdVar[TvarsD[k]])); \/ /
	/* printf("hpxij Dummy combi=%d k1=%d Tvar[%d]=V%d cov[2+%d+%d]=%lf resultmodel[nres][%d]=%d nres/nresult=%d/%d \n",ij,k1,k1, Tvar[k1],nagesqr,k1,cov[2+nagesqr+k1],k1,resultmodel[nres][k1],nres,nresult); */
	/* printf("hpxij new Dummy precov[nres=%d][k1=%d]=%.4f\n", nres, k1, precov[nres][k1]); */
	/* }else if( Dummy[k1]==1 && Typevar[k1]==0 ){ /\* Single quantitative variables \/ /
	/* /\* resultmodel[nres][k1]=k3: k1th position in the model correspond to the k3 position in the resultline \/ /
	/* cov[2+nagesqr+k1]=Tqresult[nres][resultmodel[nres][k1]]; */
	/* /\* for (k=1; k<=nsq;k++) { /\\* For single varying covariates only \\/ \/ */
	/* /\* /\\* Here comes the value of quantitative after renumbering k with single quantitative covariates \\/ \/ */
	/* /\* cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; \/ /
	/* printf("hPxij Quantitative k1=%d resultmodel[nres][%d]=%d,Tqresult[%d][%d]=%f\n",k1,k1,resultmodel[nres][k1],nres,resultmodel[nres][k1],Tqresult[nres][resultmodel[nres][k1]]); */
	/* printf("hpxij new Quanti precov[nres=%d][k1=%d]=%.4f\n", nres, k1, precov[nres][k1]); */
	/* }else if( Dummy[k1]==2 ){ /\* For dummy with age product \/ /
	/* /\* Tvar[k1] Variable in the age product ageV1 is 1 \/ */
	/* /\* [Tinvresult[nres][V1] is its value in the resultline nres \/ /
	/* cov[2+nagesqr+k1]=TinvDoQresult[nres][Tvar[k1]]cov[2]; /
	/* printf("DhPxij Dummy with age k1=%d Tvar[%d]=%d TinvDoQresult[nres=%d][%d]=%.f age=%.2f,cov[2+%d+%d]=%.3f\n",k1,k1,Tvar[k1],nres,TinvDoQresult[nres][Tvar[k1]],cov[2],nagesqr,k1,cov[2+nagesqr+k1]); */
	/* printf("hpxij new Dummy with age product precov[nres=%d][k1=%d]=%.4f * age=%.2f\n", nres, k1, precov[nres][k1], cov[2]); */

	/* /\* cov[2+nagesqr+k1]=Tresult[nres][resultmodel[nres][k1]]; \/ /
	/* /\* for (k=1; k<=cptcovage;k++){ /\\* For product with age V1+V1age +V4 +ageV3 \\/ \/ */
	/* /\* 1+2 Tage[1]=2 TVar[2]=1 Dummy[2]=2, Tage[2]=4 TVar[4]=3 Dummy[4]=3 quant\/ /
	/* /\* \/ /
	/* /\* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 \/ /
	/* /\* k 1 2 3 4 5 6 7 8 9 \/ /
	/* /\Tvar[k]= 5 4 3 6 5 2 7 1 1 \/ */
	/* /\cptcovage=2 1 2 \/ */
	/* /\Tage[k]= 5 8 \/ */
	/* }else if( Dummy[k1]==3 ){ /\* For quant with age product \/ /
	/* cov[2+nagesqr+k1]=Tresult[nres][resultmodel[nres][k1]]; */
	/* printf("QhPxij Quant with age k1=%d resultmodel[nres][%d]=%d,Tqresult[%d][%d]=%f\n",k1,k1,resultmodel[nres][k1],nres,resultmodel[nres][k1],Tqresult[nres][resultmodel[nres][k1]]); */
	/* printf("hpxij new Quanti with age product precov[nres=%d][k1=%d] * age=%.2f\n", nres, k1, precov[nres][k1], cov[2]); */
	/* /\* if(Dummy[Tage[k]]== 2){ /\\* dummy with age \\/ \/ */
	/* /\* /\\* if(Dummy[Tvar[Tage[k]]]== 2){ /\\\* dummy with age \\\/ \\/ \/ /
	/* /\* /\\* 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,TnsdVar[TvarsD[Tvar[Tage[k]]]])]cov[2]; \\/ \/ /
	/* /\* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,TnsdVar[TvarsD[Tvar[Tage[k]]]])]cov[2]; \/ */
	/* /\* printf("hPxij Age combi=%d k=%d cptcovage=%d Tage[%d]=%d Tvar[Tage[%d]]=V%d nbcode[Tvar[Tage[k]]][codtabm(ij,TnsdVar[Tvar[Tage[k]]]])]=%d nres=%d\n",ij,k,cptcovage,k,Tage[k],k,Tvar[Tage[k]], nbcode[Tvar[Tage[k]]][codtabm(ij,TnsdVar[Tvar[Tage[k]]])],nres); \/ /
	/* /\* } else if(Dummy[Tage[k]]== 3){ /\\* quantitative with age \\/ \/ */
	/* /\* cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; \/ /
	/* /\* } \/ /
	/* /\* printf("hPxij Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); \/ /
	/* }else if(Typevar[k1]==2 ){ /\* For product (not with age) \/ /
	/* /\* for (k=1; k<=cptcovprod;k++){ /\\* For product without age \\/ \/ */
	/* /\* /\\* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 \\/ \/ */
	/* /\* /\\* k 1 2 3 4 5 6 7 8 9 \\/ \/ */
	/* /\* /\\Tvar[k]= 5 4 3 6 5 2 7 1 1 \\/ \/ /
	/* /\* /\\cptcovprod=1 1 2 \\/ \/ /
	/* /\* /\\Tprod[]= 4 7 \\/ \/ /
	/* /\* /\\Tvard[][1] 4 1 \\/ \/ /
	/* /\* /\\Tvard[][2] 3 2 \\/ \/ /

	/* /\* printf("hPxij Prod ij=%d k=%d Tprod[%d]=%d Tvard[%d][1]=V%d, Tvard[%d][2]=V%d nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])]=%d nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][1])]=%d\n",ij,k,k,Tprod[k], k,Tvard[k][1], k,Tvard[k][2],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)]; \/ /
	/* cov[2+nagesqr+k1]=TinvDoQresult[nres][Tvardk[k1][1]] * TinvDoQresult[nres][Tvardk[k1][2]]; */
	/* printf("hPxij Prod ij=%d k1=%d cov[2+%d+%d]=%.5f Tvard[%d][1]=V%d * Tvard[%d][2]=V%d ; TinvDoQresult[nres][Tvardk[k1][1]]=%.4f * TinvDoQresult[nres][Tvardk[k1][1]]=%.4f\n",ij,k1,nagesqr,k1,cov[2+nagesqr+k1],k1,Tvardk[k1][1], k1,Tvardk[k1][2], TinvDoQresult[nres][Tvardk[k1][1]], TinvDoQresult[nres][Tvardk[k1][2]]); */
	/* printf("hpxij new Product no age product precov[nres=%d][k1=%d]=%.4f\n", nres, k1, precov[nres][k1]); */

	/* /\* if(Dummy[Tvardk[k1][1]]==0){ \/ /
	/* /\* if(Dummy[Tvardk[k1][2]]==0){ /\\* Product of dummies \\/ \/ */
	/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; \/ /
	/* /\* cov[2+nagesqr+k1]=Tinvresult[nres][Tvardk[k1][1]] * Tinvresult[nres][Tvardk[k1][2]]; \/ /
	/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,TnsdVar[Tvard[k][1]])] * nbcode[Tvard[k][2]][codtabm(ij,TnsdVar[Tvard[k][2]])]; \/ /
	/* /\* }else{ /\\* Product of dummy by quantitative \\/ \/ */
	/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,TnsdVar[Tvard[k][1]])] * Tqresult[nres][k]; \/ /
	/* /\* cov[2+nagesqr+k1]=Tresult[nres][Tinvresult[nres][Tvardk[k1][1]]] * Tqresult[nres][Tinvresult[nres][Tvardk[k1][2]]]; \/ /
	/* /\* } \/ /
	/* /\* }else{ /\\* Product of quantitative by...\\/ \/ */
	/* /\* if(Dummy[Tvard[k][2]]==0){ /\\* quant by dummy \\/ \/ */
	/* /\* /\\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,TnsdVar[Tvard[k][2]])] * Tqinvresult[nres][Tvard[k][1]]; \\/ \/ */
	/* /\* cov[2+nagesqr+k1]=Tqresult[nres][Tinvresult[nres][Tvardk[k1][1]]] * Tresult[nres][Tinvresult[nres][Tvardk[k1][2]]] ; \/ /
	/* /\* }else{ /\\* Product of two quant \\/ \/ */
	/* /\* /\\* cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; \\/ \/ */
	/* /\* cov[2+nagesqr+k1]=Tqresult[nres][Tinvresult[nres][Tvardk[k1][1]]] * Tqresult[nres][Tinvresult[nres][Tvardk[k1][2]]] ; \/ /
	/* /\* } \/ /
	/* /\* }/\\end of products quantitative \\/ \/ /
	/* }/\end of products \/ */
	/* } /\* End of loop on model equation \/ /
/* for (k=1; k<=cptcovn;k++) */	/* for (k=1; k<=cptcovn;k++) */
/* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */	/* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */
/* for (k=1; k<=cptcovage;k++) /\* Should start at cptcovn+1 \/ /	/* for (k=1; k<=cptcovage;k++) /\* Should start at cptcovn+1 \/ /
Line 3296 double *hpxij(double *po, int nhstep	Line 3698 double *hpxij(double *po, int nhstep

/printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);/	/printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);/
/printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);/	/printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);/
/* right multiplication of oldm by the current matrix */	/* right multiplication of oldm by the current matrix */
out=matprod2(newm,oldm,1,nlstate+ndeath,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));	pmij(pmmij,cov,ncovmodel,x,nlstate));
/* if((int)age == 70){ */	/* if((int)age == 70){ */
Line 3331 double *hpxij(double *po, int nhstep	Line 3733 double *hpxij(double *po, int nhstep
/* double *hbxij(double po, int nhstepm, double age, int hstepm, double x, double *prevacurrent, int nlstate, int stepm, double oldm, double savm, double dnewm, double doldm, double dsavm, int ij ) */	/* double *hbxij(double po, int nhstepm, double age, int hstepm, double x, double *prevacurrent, int nlstate, int stepm, double oldm, double savm, double dnewm, double doldm, double dsavm, int ij ) */
double *hbxij(double po, int nhstepm, double age, int hstepm, double x, double ***prevacurrent, int nlstate, int stepm, int ij, int nres )	double *hbxij(double po, int nhstepm, double age, int hstepm, double x, double ***prevacurrent, int nlstate, int stepm, int ij, int nres )
{	{
/* For a combination of dummy covariate ij, computes the transition matrix starting at age 'age' over	/* For dummy covariates given in each resultline (for historical, computes the corresponding combination ij),
	computes the transition matrix starting at age 'age' over
'nhstepmhstepmstepm' months (i.e. until	'nhstepmhstepmstepm' months (i.e. until
age (in years) age+nhstepmhstepmstepm/12) by multiplying	age (in years) age+nhstepmhstepmstepm/12) by multiplying
nhstepm*hstepm matrices.	nhstepm*hstepm matrices.
Line 3343 double *hbxij(double *po, int nhstep	Line 3746 double *hbxij(double *po, int nhstep
The addresss of po (p3mat allocated to the dimension of nhstepm) should be stored for output	The addresss of po (p3mat allocated to the dimension of nhstepm) should be stored for output
*/	*/

int i, j, d, h, k;	int i, j, d, h, k, k1;
double out, cov[NCOVMAX+1], bmij();	double out, cov[NCOVMAX+1], bmij();
double newm, *newmm;	double newm, *newmm;
double agexact;	double agexact;
Line 3366 double *hbxij(double *po, int nhstep	Line 3769 double *hbxij(double *po, int nhstep
cov[1]=1.;	cov[1]=1.;
agexact=age-( (h-1)hstepm + (d) )stepm/YEARM; /* age just before transition, d or d-1? */	agexact=age-( (h-1)hstepm + (d) )stepm/YEARM; /* age just before transition, d or d-1? */
/* agexact=age+((h-1)hstepm + (d-1))stepm/YEARM; /\* age just before transition \/ /	/* agexact=age+((h-1)hstepm + (d-1))stepm/YEARM; /\* age just before transition \/ /
	/* Debug */
	/* printf("hBxij age=%lf, agexact=%lf\n", age, agexact); */
cov[2]=agexact;	cov[2]=agexact;
if(nagesqr==1)	if(nagesqr==1){
cov[3]= agexact*agexact;	cov[3]= agexact*agexact;
for (k=1; k<=cptcovn;k++){	}
/* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */	/** New code */
/* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; \/ /	for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */
cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)];	if(Typevar[k1]==1){ /* A product with age */
/* printf("hbxij Dummy agexact=%.0f combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov[%d]=%lf codtabm(%d,Tvar[%d])=%d \n",agexact,ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],2+nagesqr+TvarsDind[k],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */	cov[2+nagesqr+k1]=precov[nres][k1]*cov[2];
}	}else{
for (k=1; k<=nsq;k++) { /* For single varying covariates only */	cov[2+nagesqr+k1]=precov[nres][k1];
/* Here comes the value of quantitative after renumbering k with single quantitative covariates */	}
cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k];	}/* End of loop on model equation */
/* printf("hPxij Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); */	/** End of new code */
}	/** This was old code */
for (k=1; k<=cptcovage;k++){ /* Should start at cptcovn+1 */	/* for (k=1; k<=nsd;k++){ /\* For single dummy covariates only \//\ cptcovn error \/ /
if(Dummy[Tvar[Tage[k]]]){	/* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; \/ /
cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2];	/* /\* /\\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; \\/ \/ */
} else{	/* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,TvarsD[k])];/\* Bug valgrind \/ /
cov[2+nagesqr+Tage[k]]=Tqresult[nres][k];	/* /\* printf("hbxij Dummy agexact=%.0f combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov[%d]=%lf codtabm(%d,Tvar[%d])=%d \n",agexact,ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],2+nagesqr+TvarsDind[k],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); \/ /
}	/* } */
/* printf("hBxij Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); */	/* for (k=1; k<=nsq;k++) { /\* For single varying covariates only \/ /
}	/* /\* Here comes the value of quantitative after renumbering k with single quantitative covariates \/ /
for (k=1; k<=cptcovprod;k++){ /* Useless because included in cptcovn */	/* cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k]; */
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)];	/* /\* printf("hPxij Quantitative k=%d TvarsQind[%d]=%d, TvarsQ[%d]=V%d,Tqresult[%d][%d]=%f\n",k,k,TvarsQind[k],k,TvarsQ[k],nres,k,Tqresult[nres][k]); \/ /
}	/* } */
/printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);/	/* for (k=1; k<=cptcovage;k++){ /\* Should start at cptcovn+1 \//\ For product with age \/ /
/printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);/	/* /\* if(Dummy[Tvar[Tage[k]]]== 2){ /\\* dummy with age error!!!\\/ \/ */
	/* if(Dummy[Tage[k]]== 2){ /\* dummy with age \/ /
	/* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]cov[2]; /
	/* } else if(Dummy[Tage[k]]== 3){ /\* quantitative with age \/ /
	/* cov[2+nagesqr+Tage[k]]=Tqresult[nres][k]; */
	/* } */
	/* /\* printf("hBxij Age combi=%d k=%d Tage[%d]=V%d Tqresult[%d][%d]=%f\n",ij,k,k,Tage[k],nres,k,Tqresult[nres][k]); \/ /
	/* } */
	/* for (k=1; k<=cptcovprod;k++){ /\* Useless because included in cptcovn \/ /
	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])]nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; /
	/* if(Dummy[Tvard[k][1]]==0){ */
	/* if(Dummy[Tvard[k][2]]==0){ */
	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][1])]; */
	/* }else{ */
	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])] * Tqresult[nres][k]; */
	/* } */
	/* }else{ */
	/* if(Dummy[Tvard[k][2]]==0){ */
	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])] * Tqinvresult[nres][Tvard[k][1]]; */
	/* }else{ */
	/* cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; */
	/* } */
	/* } */
	/* } */
	/* /\printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);\/ */
	/* /\printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);\/ */
	/** End of old code */

/* Careful transposed matrix */	/* Careful transposed matrix */
/* age is in cov[2], prevacurrent at beginning of transition. */	/* age is in cov[2], prevacurrent at beginning of transition. */
/* out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij),\ */	/* out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij),\ */
/* 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); */	/* 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); */
out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent,ij),\	out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent,ij),\
1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);	1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);/* Bug valgrind */
/* if((int)age == 70){ */	/* if((int)age == 70){ */
/* printf(" Backward hbxij age=%d agexact=%f d=%d nhstepm=%d hstepm=%d\n", (int) age, agexact, d, nhstepm, hstepm); */	/* printf(" Backward hbxij age=%d agexact=%f d=%d nhstepm=%d hstepm=%d\n", (int) age, agexact, d, nhstepm, hstepm); */
/* for(i=1; i<=nlstate+ndeath; i++) { */	/* for(i=1; i<=nlstate+ndeath; i++) { */
Line 3453 double *hbxij(double *po, int nhstep	Line 3884 double *hbxij(double *po, int nhstep
/************* log-likelihood ***********/	/************* log-likelihood ***********/
double func( double *x)	double func( double *x)
{	{
int i, ii, j, k, mi, d, kk;	int i, ii, j, k, mi, d, kk, kf=0;
int ioffset=0;	int ioffset=0;
	int ipos=0,iposold=0,ncovv=0;

	double cotvarv, cotvarvold;
double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1];	double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1];
double **out;	double **out;
double lli; /* Individual log likelihood */	double lli; /* Individual log likelihood */
int s1, s2;	int s1, s2;
int iv=0, iqv=0, itv=0, iqtv=0 ; /* Index of varying covariate, fixed quantitative cov, time varying covariate, quantitative time varying covariate */	int iv=0, iqv=0, itv=0, iqtv=0 ; /* Index of varying covariate, fixed quantitative cov, time varying covariate, quantitative time varying covariate */

double bbh, survp;	double bbh, survp;
long ipmx;
double agexact;	double agexact;
	double agebegin, ageend;
/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 3485 double func( double *x)	Line 3920 double func( double *x)
*/	*/
ioffset=2+nagesqr ;	ioffset=2+nagesqr ;
/* Fixed */	/* Fixed */
for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products */	for (kf=1; kf<=ncovf;kf++){ /* For each fixed covariate dummu or quant or prod */
cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1, only V1 is fixed (k=6)*/	/* # V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi */
	/* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */
	/* TvarF[1]=Tvar[6]=2, TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1 ID of fixed covariates or product V2, V1V2, V1 /
	/* TvarFind; TvarFind[1]=6, TvarFind[2]=7, TvarFind[3]=9 // Inverse V2(6) is first fixed (single or prod) */
	cov[ioffset+TvarFind[kf]]=covar[Tvar[TvarFind[kf]]][i];/* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1, only V1 is fixed (TvarFind[1]=6)*/
	/* V1V2 (7) TvarFind[2]=7, TvarFind[3]=9 /
}	}
/* 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 5, Tvar[3=ageV3] should not be computed because of age Tvar[4=V3V2]=6
has been calculated etc */	has been calculated etc */
/* For an individual i, wav[i] gives the number of effective waves */	/* For an individual i, wav[i] gives the number of effective waves */
/* We compute the contribution to Likelihood of each effective transition	/* We compute the contribution to Likelihood of each effective transition
mw[mi][i] is real wave of the mi th effectve wave */	mw[mi][i] is real wave of the mi th effectve wave */
/* Then statuses are computed at each begin and end of an effective wave s1=s[ mw[mi][i] ][i];	/* Then statuses are computed at each begin and end of an effective wave s1=s[ mw[mi][i] ][i];
s2=s[mw[mi+1][i]][i];	s2=s[mw[mi+1][i]][i];
And the iv th varying covariate is the cotvar[mw[mi+1][i]][iv][i]	And the iv th varying covariate is the cotvar[mw[mi+1][i]][iv-ncovcol-nqv][i] because (-ncovcol-nqv) in the data
But if the variable is not in the model TTvar[iv] is the real variable effective in the model:	But if the variable is not in the model TTvar[iv] is the real variable effective in the model:
meaning that decodemodel should be used cotvar[mw[mi+1][i]][TTvar[iv]][i]	meaning that decodemodel should be used cotvar[mw[mi+1][i]][TTvar[iv]][i]
*/	*/
for(mi=1; mi<= wav[i]-1; mi++){	for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */
for(k=1; k <= ncovv ; k++){ /* Varying covariates (single and product but no age )*/	/* Wave varying (but not age varying) */
/* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; */	/* for(k=1; k <= ncovv ; k++){ /\* Varying covariates in the model (single and product but no age )"V5+V4+V3+V4V3+V5age+V1age+V1" +TvarVind 1,2,3,4(V4V3) Tvar[1]@7{5, 4, 3, 6, 5, 1, 1 ; 6 because the created covar is after V5 and is 6, minus 1+1, 3,2,1,4 positions in cotvar\/ /
cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i];	/* /\* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; but where is the crossproduct? \/ /
}	/* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; */
	/* } */
	for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ /* Varying covariates (single and product but no age )*/
	itv=TvarVV[ncovv]; /* TvarVV={3, 1, 3} gives the name of each varying covariate */
	ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/
	if(TvarFind[itv]==0){ /* Not a fixed covariate */
	cotvarv=cotvar[mw[mi][i]][TvarVV[ncovv]-ncovcol-nqv][i]; /* cotvar[wav][ntv+iv][i] */
	}else{ /* fixed covariate */
	cotvarv=covar[Tvar[TvarFind[itv]]][i];
	}
	if(ipos!=iposold){ /* Not a product or first of a product */
	cotvarvold=cotvarv;
	}else{ /* A second product */
	cotvarv=cotvarv*cotvarvold;
	}
	iposold=ipos;
	cov[ioffset+ipos]=cotvarv;
	}
	/* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates (single??)\/ /
	/* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; /\* Counting the # varying covariate from 1 to ntveff \/ /
	/* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; */
	/* k=ioffset-2-nagesqr-cptcovage+itv; /\* position in simple model \/ /
	/* cov[ioffset+itv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; */
	/* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][TmodelInvind[itv]][i]=%f\n", i, mi, itv, TmodelInvind[itv],cotvar[mw[mi][i]][TmodelInvind[itv]][i]); */
	/* } */
	/* for(iqtv=1; iqtv <= nqtveff; iqtv++){ /\* Varying quantitatives covariates \/ /
	/* iv=TmodelInvQind[iqtv]; /\* Counting the # varying covariate from 1 to ntveff \/ /
	/* /\* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); \/ /
	/* cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]; */
	/* } */
	/* for products of time varying to be done */
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);
savm[ii][j]=(ii==j ? 1.0 : 0.0);	savm[ii][j]=(ii==j ? 1.0 : 0.0);
}	}

	agebegin=agev[mw[mi][i]][i]; /* Age at beginning of effective wave */
	ageend=agev[mw[mi][i]][i] + (dh[mi][i])stepm/YEARM; / Age at end of effective wave and at the end of transition */
for(d=0; d<dh[mi][i]; d++){	for(d=0; d<dh[mi][i]; d++){
newm=savm;	newm=savm;
agexact=agev[mw[mi][i]][i]+d*stepm/YEARM;	agexact=agev[mw[mi][i]][i]+d*stepm/YEARM;
Line 3517 double func( double *x)	Line 3990 double func( double *x)
if(nagesqr==1)	if(nagesqr==1)
cov[3]= agexactagexact; / Should be changed here */	cov[3]= agexactagexact; / Should be changed here */
for (kk=1; kk<=cptcovage;kk++) {	for (kk=1; kk<=cptcovage;kk++) {
if(!FixedV[Tvar[Tage[kk]]])	if(!FixedV[Tvar[Tage[kk]]])
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]agexact; / 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 */
else	else
cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]*agexact;	cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]agexact; / -ntv because cotvar starts at ntv */
}	}
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 3600 double func( double *x)	Line 4073 double func( double *x)
/survp += out[s1][j]; /	/survp += out[s1][j]; /
lli= log(survp);	lli= log(survp);
}	}
else if (s2==-4) {	/* else if (s2==-4) { */
for (j=3,survp=0. ; j<=nlstate; j++)	/* for (j=3,survp=0. ; j<=nlstate; j++) */
survp += (1.+bbh)out[s1][j]- bbhsavm[s1][j];	/* survp += (1.+bbh)out[s1][j]- bbhsavm[s1][j]; */
lli= log(survp);	/* lli= log(survp); */
}	/* } */
else if (s2==-5) {	/* else if (s2==-5) { */
for (j=1,survp=0. ; j<=2; j++)	/* for (j=1,survp=0. ; j<=2; j++) */
survp += (1.+bbh)out[s1][j]- bbhsavm[s1][j];	/* survp += (1.+bbh)out[s1][j]- bbhsavm[s1][j]; */
lli= log(survp);	/* lli= log(survp); */
}	/* } */
else{	else{
lli= log((1.+bbh)out[s1][s2]- bbhsavm[s1][s2]); /* linear interpolation */	lli= log((1.+bbh)out[s1][s2]- bbhsavm[s1][s2]); /* linear interpolation */
/* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)out[s1][s2]- bbh(savm[s1][s2])):log((1.+bbh)out[s1][s2]));/ /* linear interpolation */	/* lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)out[s1][s2]- bbh(savm[s1][s2])):log((1.+bbh)out[s1][s2]));/ /* linear interpolation */
}	}
/lli=(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]);/	/lli=(1.+bbh)log(out[s1][s2])- bbhlog(savm[s1][s2]);/
/if(lli ==000.0)/	/if(lli ==000.0)/
/printf("bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); /	/* printf("num[i], i=%d, bbh= %f lli=%f savm=%f out=%f %d\n",bbh,lli,savm[s1][s2], out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]],i); */
ipmx +=1;	ipmx +=1;
sw += weight[i];	sw += weight[i];
ll[s[mw[mi][i]][i]] += 2weight[i]lli;	ll[s[mw[mi][i]][i]] += 2weight[i]lli;
Line 3628 double func( double *x)	Line 4101 double func( double *x)
} /* 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+nagesqr+k]=covar[Tvar[k]][i];	ioffset=2+nagesqr ;
	for (k=1; k<=ncovf;k++)
	cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];
for(mi=1; mi<= wav[i]-1; mi++){	for(mi=1; mi<= wav[i]-1; mi++){
	for(k=1; k <= ncovv ; k++){
	cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; /* Cotvar starts at ntv */
	}
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);
Line 3675 double func( double *x)	Line 4153 double func( double *x)
if(nagesqr==1)	if(nagesqr==1)
cov[3]= agexact*agexact;	cov[3]= agexact*agexact;
for (kk=1; kk<=cptcovage;kk++) {	for (kk=1; kk<=cptcovage;kk++) {
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact;	if(!FixedV[Tvar[Tage[kk]]])
	cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]agexact; / Tage[kk] gives the data-covariate associated with age */
	else
	cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]agexact; / -ntv because cotvar starts at ntv */
}	}
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 3731 double func( double *x)	Line 4212 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;
/* 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]); */
} /* end of wave */	} /* end of wave */
} /* 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 */
Line 3750 double func( double *x)	Line 4231 double func( double *x)
if(nagesqr==1)	if(nagesqr==1)
cov[3]= agexact*agexact;	cov[3]= agexact*agexact;
for (kk=1; kk<=cptcovage;kk++) {	for (kk=1; kk<=cptcovage;kk++) {
cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact;	if(!FixedV[Tvar[Tage[kk]]])
	cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]agexact; / Tage[kk] gives the data-covariate associated with age */
	else
	cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]agexact; / -ntv because cotvar starts at ntv */
}	}

out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,	out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
Line 3779 double func( double *x)	Line 4263 double func( double *x)
double funcone( double *x)	double funcone( double *x)
{	{
/* Same as func but slower because of a lot of printf and if */	/* Same as func but slower because of a lot of printf and if */
int i, ii, j, k, mi, d, kk;	int i, ii, j, k, mi, d, kk, kf=0;
int ioffset=0;	int ioffset=0;
	int ipos=0,iposold=0,ncovv=0;

	double cotvarv, cotvarvold;
double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1];	double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1];
double **out;	double **out;
double lli; /* Individual log likelihood */	double lli; /* Individual log likelihood */
Line 3802 double funcone( double *x)	Line 4289 double funcone( double *x)
for(k=1; k<=nlstate; k++) ll[k]=0.;	for(k=1; k<=nlstate; k++) ll[k]=0.;
ioffset=0;	ioffset=0;
for (i=1,ipmx=0, sw=0.; i<=imx; i++){	for (i=1,ipmx=0, sw=0.; i<=imx; i++){
	/* Computes the values of the ncovmodel covariates of the model
	depending if the covariates are fixed or varying (age dependent) and stores them in cov[]
	Then computes with function pmij which return a matrix p[i][j] giving the elementary probability
	to be observed in j being in i according to the model.
	*/
/* ioffset=2+nagesqr+cptcovage; */	/* ioffset=2+nagesqr+cptcovage; */
ioffset=2+nagesqr;	ioffset=2+nagesqr;
/* Fixed */	/* Fixed */
/* for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; */	/* for (k=1; k<=cptcovn;k++) cov[2+nagesqr+k]=covar[Tvar[k]][i]; */
/* for (k=1; k<=ncoveff;k++){ /\* Simple and product fixed Dummy covariates without age* products \/ /	/* for (k=1; k<=ncoveff;k++){ /\* Simple and product fixed Dummy covariates without age* products \/ /
for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products */	for (kf=1; kf<=ncovf;kf++){ /* Simple and product fixed covariates without age* products // Missing values are set to -1 but should be dropped */
cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1, only V1 is fixed (k=6)*/	/* printf("Debug3 TvarFind[%d]=%d",kf, TvarFind[kf]); */
	/* printf(" Tvar[TvarFind[kf]]=%d", Tvar[TvarFind[kf]]); */
	/* printf(" i=%d covar[Tvar[TvarFind[kf]]][i]=%f\n",i,covar[Tvar[TvarFind[kf]]][i]); */
	cov[ioffset+TvarFind[kf]]=covar[Tvar[TvarFind[kf]]][i];/* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1, only V1 is fixed (k=6)*/
/* cov[ioffset+TvarFind[1]]=covar[Tvar[TvarFind[1]]][i]; */	/* cov[ioffset+TvarFind[1]]=covar[Tvar[TvarFind[1]]][i]; */
/* cov[2+6]=covar[Tvar[6]][i]; */	/* cov[2+6]=covar[Tvar[6]][i]; */
/* cov[2+6]=covar[2][i]; V2 */	/* cov[2+6]=covar[2][i]; V2 */
Line 3819 double funcone( double *x)	Line 4314 double funcone( double *x)
/* cov[2+9]=covar[Tvar[9]][i]; */	/* cov[2+9]=covar[Tvar[9]][i]; */
/* cov[2+9]=covar[1][i]; V1 */	/* cov[2+9]=covar[1][i]; V1 */
}	}
	/* In model V2+V1V4+ageV3+V3V2 Tvar[1] is V2, Tvar[2=V1V4]
	is 5, Tvar[3=ageV3] should not be computed because of age Tvar[4=V3V2]=6
	has been calculated etc */
	/* For an individual i, wav[i] gives the number of effective waves */
	/* We compute the contribution to Likelihood of each effective transition
	mw[mi][i] is real wave of the mi th effectve wave */
	/* Then statuses are computed at each begin and end of an effective wave s1=s[ mw[mi][i] ][i];
	s2=s[mw[mi+1][i]][i];
	And the iv th varying covariate in the DATA is the cotvar[mw[mi+1][i]][iv][i]
	But if the variable is not in the model TTvar[iv] is the real variable effective in the model:
	meaning that decodemodel should be used cotvar[mw[mi+1][i]][TTvar[iv]][i]
	*/
	/* This part may be useless now because everythin should be in covar */
/* for (k=1; k<=nqfveff;k++){ /\* Simple and product fixed Quantitative covariates without age* products \/ /	/* for (k=1; k<=nqfveff;k++){ /\* Simple and product fixed Quantitative covariates without age* products \/ /
/* cov[++ioffset]=coqvar[TvarFQ[k]][i];/\* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1, only V2 and V1V2 is fixed (k=6 and 7?)\/ */	/* cov[++ioffset]=coqvar[TvarFQ[k]][i];/\* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1, only V2 and V1V2 is fixed (k=6 and 7?)\/ */
/* } */	/* } */
Line 3828 double funcone( double *x)	Line 4336 double funcone( double *x)


for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */	for(mi=1; mi<= wav[i]-1; mi++){ /* Varying with waves */
/* Wave varying (but not age varying) */	/* Wave varying (but not age varying) // V1+V3+ageV1+ageV3+V1V3 with V4 tv and V5 tvq k= 1 to 5 and extra at V(5+1)=6 for V1V3 */
for(k=1; k <= ncovv ; k++){ /* Varying covariates (single and product but no age )*/	/* for(k=1; k <= ncovv ; k++){ /\* Varying covariates (single and product but no age )\/ /
/* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; */	/* /\* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; \/ /
cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i];	/* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i]; */
}	/* } */
/* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates (single??)\/ /
/* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; /\* Counting the # varying covariate from 1 to ntveff \/ /	/# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 /
/* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; */	/* model V1+V3+ageV1+ageV3+V1V3 /
/* k=ioffset-2-nagesqr-cptcovage+itv; /\* position in simple model \/ /	/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */
/* cov[ioffset+itv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; */	/* TvarVV[1]=V3 (first time varying in the model equation, TvarVV[2]=V1 (in V1V3) TvarVV[3]=3(V3) /
/* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][TmodelInvind[itv]][i]=%f\n", i, mi, itv, TmodelInvind[itv],cotvar[mw[mi][i]][TmodelInvind[itv]][i]); */	/* We need the position of the time varying or product in the model */
	/* TvarVVind={2,5,5}, for V3 at position 2 and then the product V1V3 is decomposed into V1 and V3 but at same position 5 /
	/* TvarVV gives the variable name */
	/* Other example V1 + V3 + V5 + ageV1 + ageV3 + ageV5 + V1V3 + V3V5 + V1V5
	* k= 1 2 3 4 5 6 7 8 9
	* varying 1 2 3 4 5
	* ncovv 1 2 3 4 5 6 7 8
	* TvarVV V3 5 1 3 3 5 1 5
	* TvarVVind 2 3 7 7 8 8 9 9
	* TvarFind[k] 1 0 0 0 0 0 0 0 0
	* cotvar starts at ntv=2 (because of V3 V4)
	*/
	for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ /* Varying covariates (single and product but no age) including individual from products */
	itv=TvarVV[ncovv]; /* TvarVV={3, 1, 3} gives the name of each varying covariate */
	ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/
	if(TvarFind[itv]==0){ /* Not a fixed covariate */
	cotvarv=cotvar[mw[mi][i]][TvarVV[ncovv]-ncovcol-nqv][i]; /* cotvar[wav][ntv+iv][i] */
	}else{ /* fixed covariate */
	cotvarv=covar[Tvar[TvarFind[itv]]][i];
	}
	if(ipos!=iposold){ /* Not a product or first of a product */
	cotvarvold=cotvarv;
	}else{ /* A second product */
	cotvarv=cotvarv*cotvarvold;
	}
	iposold=ipos;
	cov[ioffset+ipos]=cotvarv;
	/* For products */
	}
	/* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates single \/ /
	/* iv=TvarVDind[itv]; /\* iv, position in the model equation of time varying covariate itv \/ /
	/* /\* "V1+V3+ageV1+ageV3+V1V3" with V3 time varying \/ */
	/* /\* 1 2 3 4 5 \/ /
	/* /\itv 1 \/ */
	/* /\* TvarVInd[1]= 2 \/ /
	/* /\* iv= Tvar[Tmodelind[itv]]-ncovcol-nqv; /\\* Counting the # varying covariate from 1 to ntveff \\/ \/ */
	/* /\* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; \/ /
	/* /\* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; \/ /
	/* /\* k=ioffset-2-nagesqr-cptcovage+itv; /\\* position in simple model \\/ \/ */
	/* /\* cov[ioffset+iv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; \/ /
	/* cov[ioffset+iv]=cotvar[mw[mi][i]][itv][i]; */
	/* /\* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][itv][i]=%f\n", i, mi, itv, TvarVDind[itv],cotvar[mw[mi][i]][itv][i]); \/ /
	/* } */
/* for(iqtv=1; iqtv <= nqtveff; iqtv++){ /\* Varying quantitatives covariates \/ /	/* for(iqtv=1; iqtv <= nqtveff; iqtv++){ /\* Varying quantitatives covariates \/ /
/* iv=TmodelInvQind[iqtv]; /\* Counting the # varying covariate from 1 to ntveff \/ /	/* iv=TmodelInvQind[iqtv]; /\* Counting the # varying covariate from 1 to ntveff \/ /
/* /\* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); \/ /	/* /\* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); \/ /
Line 3876 double funcone( double *x)	Line 4426 double funcone( double *x)
savm=oldm;	savm=oldm;
oldm=newm;	oldm=newm;
} /* end mult */	} /* end mult */
	/lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);/ /* Original formula */
	/* But now since version 0.9 we anticipate for bias at large stepm.
	* If stepm is larger than one month (smallest stepm) and if the exact delay
	* (in months) between two waves is not a multiple of stepm, we rounded to
	* the nearest (and in case of equal distance, to the lowest) interval but now
	* we keep into memory the bias bh[mi][i] and also the previous matrix product
	* (i.e to dh[mi][i]-1) saved in 'savm'. Then we inter(extra)polate the
	* probability in order to take into account the bias as a fraction of the way
	* from savm to out if bh is negative or even beyond if bh is positive. bh varies
	* -stepm/2 to stepm/2 .
	* For stepm=1 the results are the same as for previous versions of Imach.
	* For stepm > 1 the results are less biased than in previous versions.
	*/
s1=s[mw[mi][i]][i];	s1=s[mw[mi][i]][i];
s2=s[mw[mi+1][i]][i];	s2=s[mw[mi+1][i]][i];
/* if(s2==-1){ */	/* if(s2==-1){ */
Line 3908 double funcone( double *x)	Line 4470 double funcone( 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;
/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("Funcone num[i]=%ld i=%6d V= ", num[i], i);
	for (kf=1; kf<=ncovf;kf++){ /* Simple and product fixed covariates without age* products // Missing values are set to -1 but should be dropped */
	printf("%g",covar[Tvar[TvarFind[kf]]][i]);
	}
	for(ncovv=1, iposold=0; ncovv <= ncovvt ; ncovv++){ /* Varying covariates (single and product but no age) including individual from products */
	ipos=TvarVVind[ncovv]; /* TvarVVind={2, 5, 5] gives the position in the model of the ncovv th varying covariate*/
	if(ipos!=iposold){ /* Not a product or first of a product */
	printf(" %g",cov[ioffset+ipos]);
	}else{
	printf("*");
	}
	iposold=ipos;
	}
	for (kk=1; kk<=cptcovage;kk++) {
	if(!FixedV[Tvar[Tage[kk]]])
	printf(" %g*age",covar[Tvar[Tage[kk]]][i]);
	else
	printf(" %g*age",cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]);
	}
	printf(" s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2]));
if(globpr){	if(globpr){
fprintf(ficresilk,"%09ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\	fprintf(ficresilk,"%09ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\
%11.6f %11.6f %11.6f ", \	%11.6f %11.6f %11.6f ", \
num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw,	num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw,
2weight[i]lli,(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2]));	2weight[i]lli,(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2]));
	/* printf("%09ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %15.6f %8.4f %8.3f\ */
	/* %11.6f %11.6f %11.6f ", \ */
	/* num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]gipmx/gsw, /
	/* 2weight[i]lli,(s2==-1? -1: out[s1][s2]),(s2==-1? -1: 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;
fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw);	fprintf(ficresilk," %10.6f",-ll[k]*gipmx/gsw);
	/* printf(" %10.6f",-ll[k]gipmx/gsw); /
}	}
fprintf(ficresilk," %10.6f\n", -llt);	fprintf(ficresilk," %10.6f\n", -llt);
	/* printf(" %10.6f\n", -llt); */
}	}
} /* end of wave */	} /* end of wave */
} /* end of individual */	} /* end of individual */
for(k=1,l=0.; k<=nlstate; k++) l += ll[k];	for(k=1,l=0.; k<=nlstate; k++) l += ll[k];
/* printf("l1=%f l2=%f ",ll[1],ll[2]); */	/* printf("l1=%f l2=%f ",ll[1],ll[2]); */
l= lipmx/sw; / To get the same order of magnitude as if weight=1 for every body */	l= lipmx/sw; / To get the same order of magnitude as if weight=1 for every body */
if(globpr==0){ /* First time we count the contributions and weights */	if(globpr==0){ /* First time we count the contributions and weights */
gipmx=ipmx;	gipmx=ipmx;
gsw=sw;	gsw=sw;
}	}
return -l;	return -l;
}	}

Line 3986 void likelione(FILE *ficres,double p[],	Line 4573 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=0;	int i,j,k, jk, jkk=0, iter=0;
double **xi;	double **xi;
double fret;	double fret;
double fretone; /* Only one call to likelihood */	double fretone; /* Only one call to likelihood */
Line 4020 void mlikeli(FILE *ficres,double p[], in	Line 4607 void mlikeli(FILE *ficres,double p[], in
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	#ifdef POWELL
	#ifdef LINMINORIGINAL
	#else /* LINMINORIGINAL */

	flatdir=ivector(1,npar);
	for (j=1;j<=npar;j++) flatdir[j]=0;
	#endif /LINMINORIGINAL /

	#ifdef FLATSUP
	powell(p,xi,npar,ftol,&iter,&fret,flatdir,func);
	/* reorganizing p by suppressing flat directions */
	for(i=1, jk=1; i <=nlstate; i++){
	for(k=1; k <=(nlstate+ndeath); k++){
	if (k != i) {
	printf("%d%d flatdir[%d]=%d",i,k,jk, flatdir[jk]);
	if(flatdir[jk]==1){
	printf(" To be skipped %d%d flatdir[%d]=%d ",i,k,jk, flatdir[jk]);
	}
	for(j=1; j <=ncovmodel; j++){
	printf("%12.7f ",p[jk]);
	jk++;
	}
	printf("\n");
	}
	}
	}
	/* skipping */
	/* for(i=1, jk=1, jkk=1;(flatdir[jk]==0)&& (i <=nlstate); i++){ */
	for(i=1, jk=1, jkk=1;i <=nlstate; i++){
	for(k=1; k <=(nlstate+ndeath); k++){
	if (k != i) {
	printf("%d%d flatdir[%d]=%d",i,k,jk, flatdir[jk]);
	if(flatdir[jk]==1){
	printf(" To be skipped %d%d flatdir[%d]=%d jk=%d p[%d] ",i,k,jk, flatdir[jk],jk, jk);
	for(j=1; j <=ncovmodel; jk++,j++){
	printf(" p[%d]=%12.7f",jk, p[jk]);
	/q[jjk]=p[jk];/
	}
	}else{
	printf(" To be kept %d%d flatdir[%d]=%d jk=%d q[%d]=p[%d] ",i,k,jk, flatdir[jk],jk, jkk, jk);
	for(j=1; j <=ncovmodel; jk++,jkk++,j++){
	printf(" p[%d]=%12.7f=q[%d]",jk, p[jk],jkk);
	/q[jjk]=p[jk];/
	}
	}
	printf("\n");
	}
	fflush(stdout);
	}
	}
	powell(p,xi,npar,ftol,&iter,&fret,flatdir,func);
	#else /* FLATSUP */
powell(p,xi,npar,ftol,&iter,&fret,func);	powell(p,xi,npar,ftol,&iter,&fret,func);
#endif	#endif /* FLATSUP */

	#ifdef LINMINORIGINAL
	#else
	free_ivector(flatdir,1,npar);
	#endif /* LINMINORIGINAL*/
	#endif /* POWELL */

#ifdef NLOPT	#ifdef NLOPT
#ifdef NEWUOA	#ifdef NEWUOA
Line 4049 void mlikeli(FILE *ficres,double p[], in	Line 4693 void mlikeli(FILE *ficres,double p[], in
}	}
nlopt_destroy(opt);	nlopt_destroy(opt);
#endif	#endif
	#ifdef FLATSUP
	/* npared = npar -flatd/ncovmodel; */
	/* xired= matrix(1,npared,1,npared); */
	/* paramred= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel); */
	/* powell(pred,xired,npared,ftol,&iter,&fret,flatdir,func); */
	/* free_matrix(xire,1,npared,1,npared); */
	#else /* FLATSUP */
	#endif /* FLATSUP */
free_matrix(xi,1,npar,1,npar);	free_matrix(xi,1,npar,1,npar);
fclose(ficrespow);	fclose(ficrespow);
printf("\n#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));	printf("\n#Number of iterations & function calls = %d & %d, -2 Log likelihood = %.12f\n",iter, countcallfunc,func(p));
Line 4454 void freqsummary(char fileres[], double	Line 5106 void freqsummary(char fileres[], double
int Tvaraff, int invalidvarcomb, int *nbcode, int ncodemax,double mint,double anint, char strstart[], \	int Tvaraff, int invalidvarcomb, int *nbcode, int ncodemax,double mint,double anint, char strstart[], \
int firstpass, int lastpass, int stepm, int weightopt, char model[])	int firstpass, int lastpass, int stepm, int weightopt, char model[])
{ /* Some frequencies as well as proposing some starting values */	{ /* Some frequencies as well as proposing some starting values */
	/* Frequencies of any combination of dummy covariate used in the model equation */
int i, m, jk, j1, bool, z1,j, nj, nl, k, iv, jj=0, s1=1, s2=1;	int i, m, jk, j1, bool, z1,j, nj, nl, k, iv, jj=0, s1=1, s2=1;
int iind=0, iage=0;	int iind=0, iage=0;
int mi; /* Effective wave */	int mi; /* Effective wave */
Line 4500 void freqsummary(char fileres[], double	Line 5152 void freqsummary(char fileres[], double
Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\	Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\
fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);	fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);
}	}
fprintf(ficresphtm,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies and prevalence by age at begin of transition and dummy covariate value at beginning of transition</h4>\n",fileresphtm, fileresphtm);	fprintf(ficresphtm,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies (weight=%d) and prevalence by age at begin of transition and dummy covariate value at beginning of transition</h4>\n",fileresphtm, fileresphtm, weightopt);

strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm"));	strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm"));
if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) {	if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) {
Line 4510 Title=%s <br>Datafile=%s Firstpass=%d La	Line 5162 Title=%s <br>Datafile=%s Firstpass=%d La
exit(70);	exit(70);
} else{	} else{
fprintf(ficresphtmfr,"<html><head>\n<title>IMaCh PHTM_Frequency table %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \	fprintf(ficresphtmfr,"<html><head>\n<title>IMaCh PHTM_Frequency table %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=1+age+%s<br>\n",\	Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\
fileresphtmfr,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);	fileresphtmfr,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);
}	}
fprintf(ficresphtmfr,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies of all effective transitions of the model, by age at begin of transition, and covariate value at the begin of transition (if the covariate is a varying covariate) </h4>Unknown status is -1<br/>\n",fileresphtmfr, fileresphtmfr);	fprintf(ficresphtmfr,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>(weight=%d) frequencies of all effective transitions of the model, by age at begin of transition, and covariate value at the begin of transition (if the covariate is a varying covariate) </h4>Unknown status is -1<br/>\n",fileresphtmfr, fileresphtmfr,weightopt);

y= vector(iagemin-AGEMARGE,iagemax+4+AGEMARGE);	y= vector(iagemin-AGEMARGE,iagemax+4+AGEMARGE);
x= vector(iagemin-AGEMARGE,iagemax+4+AGEMARGE);	x= vector(iagemin-AGEMARGE,iagemax+4+AGEMARGE);
Line 4522 Title=%s <br>Datafile=%s Firstpass=%d La	Line 5174 Title=%s <br>Datafile=%s Firstpass=%d La
j1=0;	j1=0;

/* j=ncoveff; /\* Only fixed dummy covariates \/ /	/* j=ncoveff; /\* Only fixed dummy covariates \/ /
j=cptcoveff; /* Only dummy covariates of the model */	j=cptcoveff; /* Only simple dummy covariates used in the model */
	/* j=cptcovn; /\* Only dummy covariates of the model \/ /
if (cptcovn<1) {j=1;ncodemax[1]=1;}	if (cptcovn<1) {j=1;ncodemax[1]=1;}


Line 4530 Title=%s <br>Datafile=%s Firstpass=%d La	Line 5183 Title=%s <br>Datafile=%s Firstpass=%d La
reference=low_education V1=0,V2=0	reference=low_education V1=0,V2=0
med_educ V1=1 V2=0,	med_educ V1=1 V2=0,
high_educ V1=0 V2=1	high_educ V1=0 V2=1
Then V1=1 and V2=1 is a noisy combination that we want to exclude for the list 2**cptcoveff	Then V1=1 and V2=1 is a noisy combination that we want to exclude for the list 2**cptcovn
*/	*/
dateintsum=0;	dateintsum=0;
k2cpt=0;	k2cpt=0;
Line 4567 Title=%s <br>Datafile=%s Firstpass=%d La	Line 5220 Title=%s <br>Datafile=%s Firstpass=%d La
if(nj==1)	if(nj==1)
j=0; /* First pass for the constant */	j=0; /* First pass for the constant */
else{	else{
j=cptcoveff; /* Other passes for the covariate values */	j=cptcoveff; /* Other passes for the covariate values number of simple covariates in the model V2+V1 =2 (simple dummy fixed or time varying) */
}	}
first=1;	first=1;
for (j1 = 1; j1 <= (int) pow(2,j); j1++){ /* Loop on all covariates combination of the model, excluding quantitatives, V4=0, V3=0 for example, fixed or varying covariates */	for (j1 = 1; j1 <= (int) pow(2,j); j1++){ /* Loop on all dummy covariates combination of the model, ie excluding quantitatives, V4=0, V3=0 for example, fixed or varying covariates */
posproptt=0.;	posproptt=0.;
/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);	/*printf("cptcovn=%d Tvaraff=%d", cptcovn,Tvaraff[1]);
scanf("%d", i);*/	scanf("%d", i);*/
for (i=-5; i<=nlstate+ndeath; i++)	for (i=-5; i<=nlstate+ndeath; i++)
for (s2=-5; s2<=nlstate+ndeath; s2++)	for (s2=-5; s2<=nlstate+ndeath; s2++)
Line 4609 Title=%s <br>Datafile=%s Firstpass=%d La	Line 5262 Title=%s <br>Datafile=%s Firstpass=%d La
/* /\* sumnew+=cotvar[mw[mi][iind]][z1][iind]; \/ /	/* /\* sumnew+=cotvar[mw[mi][iind]][z1][iind]; \/ /
/* }else if(Tvaraff[z1] ==-10){ */	/* }else if(Tvaraff[z1] ==-10){ */
/* /\* sumnew+=coqvar[z1][iind]; \/ /	/* /\* sumnew+=coqvar[z1][iind]; \/ /
/* }else */	/* }else / / TODO TODO codtabm(j1,z1) or codtabm(j1,Tvaraff[z1]]z1)*/
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){ /* for combination j1 of covariates */	/* if( iind >=imx-3) printf("Searching error iind=%d Tvaraff[z1]=%d covar[Tvaraff[z1]][iind]=%.f TnsdVar[Tvaraff[z1]]=%d, cptcoveff=%d, cptcovs=%d \n",iind, Tvaraff[z1], covar[Tvaraff[z1]][iind],TnsdVar[Tvaraff[z1]],cptcoveff, cptcovs); */
	if(Tvaraff[z1]<1 \|\| Tvaraff[z1]>=NCOVMAX)
	printf("Error Tvaraff[z1]=%d<1 or >=%d, cptcoveff=%d model=1+age+%s\n",Tvaraff[z1],NCOVMAX, cptcoveff, model);
	if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]){ /* for combination j1 of covariates */
/* Tests if the value of the covariate z1 for this individual iind responded to combination j1 (V4=1 V3=0) */	/* Tests if the value of the covariate z1 for this individual iind responded to combination j1 (V4=1 V3=0) */
bool=0; /* bool should be equal to 1 to be selected, one covariate value failed */	bool=0; /* bool should be equal to 1 to be selected, one covariate value failed */
/* 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",	/* 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),	/* 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);*/	/* 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*/	/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/
} /* Onlyf fixed */	} /* Onlyf fixed */
} /* end z1 */	} /* end z1 */
} /* cptcovn > 0 */	} /* cptcoveff > 0 */
} /* end any */	} /* end any */
}/* end j==0 */	}/* end j==0 */
if (bool==1){ /* We selected an individual iind satisfying combination j1 (V4=1 V3=0) or all fixed covariates */	if (bool==1){ /* We selected an individual iind satisfying combination j1 (V4=1 V3=0) or all fixed covariates */
Line 4630 Title=%s <br>Datafile=%s Firstpass=%d La	Line 5286 Title=%s <br>Datafile=%s Firstpass=%d La
if(anyvaryingduminmodel==1){ /* Some are varying covariates */	if(anyvaryingduminmodel==1){ /* Some are varying covariates */
for (z1=1; z1<=cptcoveff; z1++) {	for (z1=1; z1<=cptcoveff; z1++) {
if( Fixed[Tmodelind[z1]]==1){	if( Fixed[Tmodelind[z1]]==1){
iv= Tvar[Tmodelind[z1]]-ncovcol-nqv;	iv= Tvar[Tmodelind[z1]]-ncovcol-nqv; /* Good */
if (cotvar[m][iv][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) /* iv=1 to ntv, right modality. If covariate's	if (cotvar[m][iv][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) /* iv=1 to ntv, right modality. If covariate's
value is -1, we don't select. It differs from the	value is -1, we don't select. It differs from the
constant and age model which counts them. */	constant and age model which counts them. */
bool=0; /* not selected */	bool=0; /* not selected */
}else if( Fixed[Tmodelind[z1]]== 0) { /* fixed */	}else if( Fixed[Tmodelind[z1]]== 0) { /* fixed */
if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) {	/* i1=Tvaraff[z1]; */
	/* i2=TnsdVar[i1]; */
	/* i3=nbcode[i1][i2]; */
	/* i4=covar[i1][iind]; */
	/* if(i4 != i3){ */
	if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) { /* Bug valgrind */
bool=0;	bool=0;
}	}
}	}
Line 4662 Title=%s <br>Datafile=%s Firstpass=%d La	Line 5323 Title=%s <br>Datafile=%s Firstpass=%d La
if(s[m][iind]==-1)	if(s[m][iind]==-1)
printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d agebegin=%.2f ageend=%.2f, agemed=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind],agebegin, ageend, (int)((agebegin+ageend)/2.));	printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d agebegin=%.2f ageend=%.2f, agemed=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind],agebegin, ageend, (int)((agebegin+ageend)/2.));
freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */	freq[s[m][iind]][s[m+1][iind]][(int)agev[m][iind]] += weight[iind]; /* At age of beginning of transition, where status is known */
for (z1=1; z1<= nqfveff; z1++) { /* Quantitative variables, calculating mean */	for (z1=1; z1<= nqfveff; z1++) { /* Quantitative variables, calculating mean on known values only */
idq[z1]=idq[z1]+weight[iind];	if(!isnan(covar[ncovcol+z1][iind])){
meanq[z1]+=covar[ncovcol+z1][iind]weight[iind]; / Computes mean of quantitative with selected filter */	idq[z1]=idq[z1]+weight[iind];
stdq[z1]+=covar[ncovcol+z1][iind]covar[ncovcol+z1][iind]weight[iind]weight[iind]; / weight[iind];/ /* Computes mean of quantitative with selected filter */	meanq[z1]+=covar[ncovcol+z1][iind]weight[iind]; / Computes mean of quantitative with selected filter */
	/* stdq[z1]+=covar[ncovcol+z1][iind]covar[ncovcol+z1][iind]weight[iind]weight[iind]; //error/
	stdq[z1]+=covar[ncovcol+z1][iind]covar[ncovcol+z1][iind]weight[iind]; /* weight[iind];/ /* Computes mean of quantitative with selected filter */
	}
}	}
/* if((int)agev[m][iind] == 55) */	/* if((int)agev[m][iind] == 55) */
/* printf("j=%d, j1=%d Age %d, iind=%d, num=%09ld m=%d\n",j,j1,(int)agev[m][iind],iind, num[iind],m); */	/* printf("j=%d, j1=%d Age %d, iind=%d, num=%09ld m=%d\n",j,j1,(int)agev[m][iind],iind, num[iind],m); */
Line 4689 Title=%s <br>Datafile=%s Firstpass=%d La	Line 5353 Title=%s <br>Datafile=%s Firstpass=%d La
/* } */	/* } */
} /* end bool */	} /* end bool */
} /* end iind = 1 to imx */	} /* end iind = 1 to imx */
/* prop[s][age] is feeded for any initial and valid live state as well as	/* prop[s][age] is fed for any initial and valid live state as well as
freq[s1][s2][age] at single age of beginning the transition, for a combination j1 */	freq[s1][s2][age] at single age of beginning the transition, for a combination j1 */


Line 4705 Title=%s <br>Datafile=%s Firstpass=%d La	Line 5369 Title=%s <br>Datafile=%s Firstpass=%d La
fprintf(ficlog, "\n#********** Variable ");	fprintf(ficlog, "\n#********** Variable ");
for (z1=1; z1<=cptcoveff; z1++){	for (z1=1; z1<=cptcoveff; z1++){
if(!FixedV[Tvaraff[z1]]){	if(!FixedV[Tvaraff[z1]]){
printf( "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);	printf( "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]);
fprintf(ficresp, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);	fprintf(ficresp, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]);
fprintf(ficresphtm, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);	fprintf(ficresphtm, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]);
fprintf(ficresphtmfr, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);	fprintf(ficresphtmfr, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]);
fprintf(ficlog, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);	fprintf(ficlog, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]);
}else{	}else{
printf( "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);	printf( "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]);
fprintf(ficresp, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);	fprintf(ficresp, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]);
fprintf(ficresphtm, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);	fprintf(ficresphtm, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]);
fprintf(ficresphtmfr, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);	fprintf(ficresphtmfr, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]);
fprintf(ficlog, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);	fprintf(ficlog, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]);
}	}
}	}
printf( "**********\n#");	printf( "**********\n#");
Line 4728 Title=%s <br>Datafile=%s Firstpass=%d La	Line 5392 Title=%s <br>Datafile=%s Firstpass=%d La
Printing means of quantitative variables if any	Printing means of quantitative variables if any
*/	*/
for (z1=1; z1<= nqfveff; z1++) {	for (z1=1; z1<= nqfveff; z1++) {
fprintf(ficlog,"Mean of fixed quantitative variable V%d on %.0f individuals sum=%f", ncovcol+z1, idq[z1], meanq[z1]);	fprintf(ficlog,"Mean of fixed quantitative variable V%d on %.3g (weighted) individuals sum=%f", ncovcol+z1, idq[z1], meanq[z1]);
fprintf(ficlog,", mean=%.3g\n",meanq[z1]/idq[z1]);	fprintf(ficlog,", mean=%.3g\n",meanq[z1]/idq[z1]);
if(weightopt==1){	if(weightopt==1){
printf(" Weighted mean and standard deviation of");	printf(" Weighted mean and standard deviation of");
fprintf(ficlog," Weighted mean and standard deviation of");	fprintf(ficlog," Weighted mean and standard deviation of");
fprintf(ficresphtmfr," Weighted mean and standard deviation of");	fprintf(ficresphtmfr," Weighted mean and standard deviation of");
}	}
printf(" fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1]));	/* mu = \frac{w x}{\sum w}
fprintf(ficlog," fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1]));	var = \frac{\sum w (x-mu)^2}{\sum w} = \frac{w x^2}{\sum w} - mu^2
fprintf(ficresphtmfr," fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)<p>\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1]));	*/
	printf(" fixed quantitative variable V%d on %.3g (weighted) representatives of the population : %8.5g (%8.5g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt(stdq[z1]/idq[z1]-meanq[z1]*meanq[z1]/idq[z1]/idq[z1]));
	fprintf(ficlog," fixed quantitative variable V%d on %.3g (weighted) representatives of the population : %8.5g (%8.5g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt(stdq[z1]/idq[z1]-meanq[z1]*meanq[z1]/idq[z1]/idq[z1]));
	fprintf(ficresphtmfr," fixed quantitative variable V%d on %.3g (weighted) representatives of the population : %8.5g (%8.5g)<p>\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt(stdq[z1]/idq[z1]-meanq[z1]*meanq[z1]/idq[z1]/idq[z1]));
}	}
/* for (z1=1; z1<= nqtveff; z1++) { */	/* for (z1=1; z1<= nqtveff; z1++) { */
/* for(m=1;m<=lastpass;m++){ */	/* for(m=1;m<=lastpass;m++){ */
Line 4748 Title=%s <br>Datafile=%s Firstpass=%d La	Line 5415 Title=%s <br>Datafile=%s Firstpass=%d La
fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">");	fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">");
if((cptcoveff==0 && nj==1)\|\| nj==2 ) /* no covariate and first pass */	if((cptcoveff==0 && nj==1)\|\| nj==2 ) /* no covariate and first pass */
fprintf(ficresp, " Age");	fprintf(ficresp, " Age");
if(nj==2) for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, " V%d=%d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);	if(nj==2) for (z1=1; z1<=cptcoveff; z1++) {
	printf(" V%d=%d, z1=%d, Tvaraff[z1]=%d, j1=%d, TnsdVar[Tvaraff[%d]]=%d \|",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])], z1, Tvaraff[z1], j1,z1,TnsdVar[Tvaraff[z1]]);
	fprintf(ficresp, " V%d=%d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]);
	}
for(i=1; i<=nlstate;i++) {	for(i=1; i<=nlstate;i++) {
if((cptcoveff==0 && nj==1)\|\| nj==2 ) fprintf(ficresp," Prev(%d) N(%d) N ",i,i);	if((cptcoveff==0 && nj==1)\|\| nj==2 ) fprintf(ficresp," Prev(%d) N(%d) N ",i,i);
fprintf(ficresphtm, "<th>Age</th><th>Prev(%d)</th><th>N(%d)</th><th>N</th>",i,i);	fprintf(ficresphtm, "<th>Age</th><th>Prev(%d)</th><th>N(%d)</th><th>N</th>",i,i);
Line 4828 Title=%s <br>Datafile=%s Firstpass=%d La	Line 5498 Title=%s <br>Datafile=%s Firstpass=%d La
}else if( nj==2){	}else if( nj==2){
if( iage <= iagemax){	if( iage <= iagemax){
fprintf(ficresp," %d",iage);	fprintf(ficresp," %d",iage);
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, " %d %d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);	for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, " %d %d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]);
}	}
}	}
for(s1=1; s1 <=nlstate ; s1++){	for(s1=1; s1 <=nlstate ; s1++){
Line 4905 Title=%s <br>Datafile=%s Firstpass=%d La	Line 5575 Title=%s <br>Datafile=%s Firstpass=%d La
printf("# This combination (%d) is not valid and no result will be produced\n",j1);	printf("# This combination (%d) is not valid and no result will be produced\n",j1);
invalidvarcomb[j1]=1;	invalidvarcomb[j1]=1;
}else{	}else{
fprintf(ficresphtm,"\n <p> This combination (%d) is valid and result will be produced.</p>",j1);	fprintf(ficresphtm,"\n <p> This combination (%d) is valid and result will be produced (or no resultline).</p>",j1);
invalidvarcomb[j1]=0;	invalidvarcomb[j1]=0;
}	}
fprintf(ficresphtmfr,"</table>\n");	fprintf(ficresphtmfr,"</table>\n");
Line 5136 void prevalence(double ***probs, double	Line 5806 void prevalence(double ***probs, double
if (cptcovn<1) {j=1;ncodemax[1]=1;}	if (cptcovn<1) {j=1;ncodemax[1]=1;}

first=0;	first=0;
for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ /* For each combination of covariate */	for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ /* For each combination of simple dummy covariates */
for (i=1; i<=nlstate; i++)	for (i=1; i<=nlstate; i++)
for(iage=iagemin-AGEMARGE; iage <= iagemax+4+AGEMARGE; iage++)	for(iage=iagemin-AGEMARGE; iage <= iagemax+4+AGEMARGE; iage++)
prop[i][iage]=0.0;	prop[i][iage]=0.0;
Line 5154 void prevalence(double ***probs, double	Line 5824 void prevalence(double ***probs, double
for (z1=1; z1<=cptcoveff; z1++){	for (z1=1; z1<=cptcoveff; z1++){
if( Fixed[Tmodelind[z1]]==1){	if( Fixed[Tmodelind[z1]]==1){
iv= Tvar[Tmodelind[z1]]-ncovcol-nqv;	iv= Tvar[Tmodelind[z1]]-ncovcol-nqv;
if (cotvar[m][iv][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) /* iv=1 to ntv, right modality */	if (cotvar[m][iv][i]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) /* iv=1 to ntv, right modality */
bool=0;	bool=0;
}else if( Fixed[Tmodelind[z1]]== 0) /* fixed */	}else if( Fixed[Tmodelind[z1]]== 0) /* fixed */
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) {	if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]) {
bool=0;	bool=0;
}	}
}	}
Line 5240 void concatwav(int wav[], int **dh, int	Line 5910 void concatwav(int wav[], int **dh, int
for(i=1; i<=imx; i++){ /* For simple cases and if state is death */	for(i=1; i<=imx; i++){ /* For simple cases and if state is death */
mi=0; /* First valid wave */	mi=0; /* First valid wave */
mli=0; /* Last valid wave */	mli=0; /* Last valid wave */
m=firstpass;	m=firstpass; /* Loop on waves */
while(s[m][i] <= nlstate){ /* a live state */	while(s[m][i] <= nlstate){ /* a live state or unknown state */
if(m >firstpass && s[m][i]==s[m-1][i] && mint[m][i]==mint[m-1][i] && anint[m][i]==anint[m-1][i]){/* Two succesive identical information on wave m */	if(m >firstpass && s[m][i]==s[m-1][i] && mint[m][i]==mint[m-1][i] && anint[m][i]==anint[m-1][i]){/* Two succesive identical information on wave m */
mli=m-1;/* mw[++mi][i]=m-1; */	mli=m-1;/* mw[++mi][i]=m-1; */
}else if(s[m][i]>=1 \|\| s[m][i]==-4 \|\| s[m][i]==-5){ /* Since 0.98r4 if status=-2 vital status is really unknown, wave should be skipped */	}else if(s[m][i]>=1 \|\| s[m][i]==-4 \|\| s[m][i]==-5){ /* Since 0.98r4 if status=-2 vital status is really unknown, wave should be skipped */
mw[++mi][i]=m;	mw[++mi][i]=m; /* Valid wave: incrementing mi and updating mi; mw[mi] is the wave number of mi_th valid transition */
mli=m;	mli=m;
} /* else might be a useless wave -1 and mi is not incremented and mw[mi] not updated */	} /* else might be a useless wave -1 and mi is not incremented and mw[mi] not updated */
if(m < lastpass){ /* m < lastpass, standard case */	if(m < lastpass){ /* m < lastpass, standard case */
m++; /* mi gives the "effective" current wave, m the current wave, go to next wave by incrementing m */	m++; /* mi gives the "effective" current wave, m the current wave, go to next wave by incrementing m */
}	}
else{ /* m >= lastpass, eventual special issue with warning */	else{ /* m = lastpass, eventual special issue with warning */
#ifdef UNKNOWNSTATUSNOTCONTRIBUTING	#ifdef UNKNOWNSTATUSNOTCONTRIBUTING
break;	break;
#else	#else
if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){	if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){ /* no death date and known date of interview, case -2 (vital status unknown is warned later */
if(firsthree == 0){	if(firsthree == 0){
printf("Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p%d%d .\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath);	printf("Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p_{%d%d} .\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath);
firsthree=1;	firsthree=1;
	}else if(firsthree >=1 && firsthree < 10){
	fprintf(ficlog,"Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p_{%d%d} .\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath);
	firsthree++;
	}else if(firsthree == 10){
	printf("Information, too many Information flags: no more reported to log either\n");
	fprintf(ficlog,"Information, too many Information flags: no more reported to log either\n");
	firsthree++;
	}else{
	firsthree++;
}	}
fprintf(ficlog,"Information! Unknown status for individual %ld line=%d occurred at last wave %d at known date %d/%d. Please, check if your unknown date of death %d/%d means a live state %d at wave %d. This case(%d)/wave(%d) contributes to the likelihood as 1-p%d%d .\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], (int) moisdc[i], (int) andc[i], s[m][i], m, i, m, s[m][i], nlstate+ndeath);	mw[++mi][i]=m; /* Valid transition with unknown status */
mw[++mi][i]=m;
mli=m;	mli=m;
}	}
if(s[m][i]==-2){ /* Vital status is really unknown */	if(s[m][i]==-2){ /* Vital status is really unknown */
nbwarn++;	nbwarn++;
if((int)anint[m][i] == 9999){ /* Has the vital status really been verified? */	if((int)anint[m][i] == 9999){ /* Has the vital status really been verified?not a transition */
printf("Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m);	printf("Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m);
fprintf(ficlog,"Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m);	fprintf(ficlog,"Warning! Vital status for individual %ld (line=%d) at last wave %d interviewed at date %d/%d is unknown %d. Please, check if the vital status and the date of death %d/%d are really unknown. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], (int) moisdc[i], (int) andc[i], i, m);
}	}
Line 5291 void concatwav(int wav[], int **dh, int	Line 5969 void concatwav(int wav[], int **dh, int
#ifndef DISPATCHINGKNOWNDEATHAFTERLASTWAVE	#ifndef DISPATCHINGKNOWNDEATHAFTERLASTWAVE
else if ((int) andc[i] != 9999) { /* Date of death is known */	else if ((int) andc[i] != 9999) { /* Date of death is known */
if ((int)anint[m][i]!= 9999) { /* date of last interview is known */	if ((int)anint[m][i]!= 9999) { /* date of last interview is known */
if((andc[i]+moisdc[i]/12.) <=(anint[m][i]+mint[m][i]/12.)){ /* death occured before last wave and status should have been death instead of -1 */	if((andc[i]+moisdc[i]/12.) <=(anint[m][i]+mint[m][i]/12.)){ /* month of death occured before last wave month and status should have been death instead of -1 */
nbwarn++;	nbwarn++;
if(firstfiv==0){	if(firstfiv==0){
printf("Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d interviewed at %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m );	printf("Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d, interviewed on %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m );
firstfiv=1;	firstfiv=1;
}else{	}else{
fprintf(ficlog,"Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d interviewed at %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m );	fprintf(ficlog,"Warning! Death for individual %ld line=%d occurred at %d/%d before last wave %d, interviewed on %d/%d and should have been coded as death instead of '%d'. This case (%d)/wave (%d) is contributing to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m );
}	}
}else{ /* Death occured afer last wave potential bias */	s[m][i]=nlstate+1; /* Fixing the status as death. Be careful if multiple death states */
	}else{ /* Month of Death occured afer last wave month, potential bias */
nberr++;	nberr++;
if(firstwo==0){	if(firstwo==0){
printf("Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood. Please add a new fictive wave at the date of last vital status scan, with a dead status or alive but unknown state status (-1). See documentation\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m );	printf("Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d with status %d. Potential bias if other individuals are still alive on this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood. Please add a new fictitious wave at the date of last vital status scan, with a dead status. See documentation\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m );
firstwo=1;	firstwo=1;
}	}
fprintf(ficlog,"Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood. Please add a new fictive wave at the date of last vital status scan, with a dead status or alive but unknown state status (-1). See documentation\n\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m );	fprintf(ficlog,"Error! Death for individual %ld line=%d occurred at %d/%d after last wave %d interviewed at %d/%d with status %d. Potential bias if other individuals are still alive on this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood. Please add a new fictitious wave at the date of last vital status scan, with a dead status. See documentation\n\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m );
}	}
}else{ /* if date of interview is unknown */	}else{ /* if date of interview is unknown */
/* death is known but not confirmed by death status at any wave */	/* death is known but not confirmed by death status at any wave */
if(firstfour==0){	if(firstfour==0){
printf("Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m );	printf("Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d with status %d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\nOthers in log file only\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m );
firstfour=1;	firstfour=1;
}	}
fprintf(ficlog,"Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], i,m );	fprintf(ficlog,"Error! Death for individual %ld line=%d occurred %d/%d but not confirmed by any death status for any wave, including last wave %d at unknown date %d/%d with status %d. Potential bias if other individuals are still alive at this date but ignored. This case (%d)/wave (%d) is skipped, no contribution to likelihood.\n",num[i],i,(int) moisdc[i], (int) andc[i], lastpass,(int)mint[m][i],(int)anint[m][i], s[m][i], i,m );
}	}
} /* end if date of death is known */	} /* end if date of death is known */
#endif	#endif
wav[i]=mi; /* mi should be the last effective wave (or mli) */	wav[i]=mi; /* mi should be the last effective wave (or mli), */
/* wav[i]=mw[mi][i]; */	/* wav[i]=mw[mi][i]; */
if(mi==0){	if(mi==0){
nbwarn++;	nbwarn++;
if(first==0){	if(first==0){
Line 5332 void concatwav(int wav[], int **dh, int	Line 6011 void concatwav(int wav[], int **dh, int
} /* End individuals */	} /* End individuals */
/* wav and mw are no more changed */	/* wav and mw are no more changed */

	printf("Information, you have to check %d informations which haven't been logged!\n",firsthree);
	fprintf(ficlog,"Information, you have to check %d informations which haven't been logged!\n",firsthree);


for(i=1; i<=imx; i++){	for(i=1; i<=imx; i++){
for(mi=1; mi<wav[i];mi++){	for(mi=1; mi<wav[i];mi++){
if (stepm <=0)	if (stepm <=0)
Line 5448 void concatwav(int wav[], int **dh, int	Line 6130 void concatwav(int wav[], int **dh, int
nbcode[k][j]=0; /* Valgrind */	nbcode[k][j]=0; /* Valgrind */

/* Loop on covariates without age and products and no quantitative variable */	/* Loop on covariates without age and products and no quantitative variable */
for (k=1; k<=cptcovt; k++) { /* From model V1 + V2age + V3 + V3V4 keeps V1 + V3 = 2 only */	for (k=1; k<=cptcovt; k++) { /* cptcovt: total number of covariates of the model (2) nbocc(+)+1 = 8 excepting constant and age and ageage /
for (j=-1; (j < maxncov); j++) Ndum[j]=0;	for (j=-1; (j < maxncov); j++) Ndum[j]=0;
if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age product */	printf("Testing k=%d, cptcovt=%d\n",k, cptcovt);
	if(Dummy[k]==0 && Typevar[k] !=1 && Typevar[k] != 2){ /* Dummy covariate and not age product nor fixed product */
switch(Fixed[k]) {	switch(Fixed[k]) {
case 0: /* Testing on fixed dummy covariate, simple or product of fixed */	case 0: /* Testing on fixed dummy covariate, simple or product of fixed */
	modmaxcovj=0;
	modmincovj=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*/	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*/
	/* printf("Waiting for error tricode Tvar[%d]=%d i=%d (int)(covar[Tvar[k]][i]=%d\n",k,Tvar[k], i, (int)(covar[Tvar[k]][i])); */
ij=(int)(covar[Tvar[k]][i]);	ij=(int)(covar[Tvar[k]][i]);
/* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i	/* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i
* If product of VnVm, still boolean :	* If product of VnVm, still boolean :
Line 5466 void concatwav(int wav[], int **dh, int	Line 6152 void concatwav(int wav[], int **dh, int
else if (ij < modmincovj)	else if (ij < modmincovj)
modmincovj=ij;	modmincovj=ij;
if (ij <0 \|\| ij >1 ){	if (ij <0 \|\| ij >1 ){
printf("Information, IMaCh doesn't treat covariate with missing values (-1), individual %d will be skipped.\n",i);	printf("ERROR, IMaCh doesn't treat covariate with missing values V%d=-1, individual %d will be skipped.\n",Tvar[k],i);
fprintf(ficlog,"Information, currently IMaCh doesn't treat covariate with missing values (-1), individual %d will be skipped.\n",i);	fprintf(ficlog,"ERROR, currently IMaCh doesn't treat covariate with missing values V%d=-1, individual %d will be skipped.\n",Tvar[k],i);
	fflush(ficlog);
	exit(1);
}	}
if ((ij < -1) \|\| (ij > NCOVMAX)){	if ((ij < -1) \|\| (ij > NCOVMAX)){
printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX );	printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX );
Line 5542 void concatwav(int wav[], int **dh, int	Line 6230 void concatwav(int wav[], int **dh, int
break;	break;
} /* end switch */	} /* end switch */
} /* end dummy test */	} /* end dummy test */
	if(Dummy[k]==1 && Typevar[k] !=1){ /* Quantitative covariate and not age product */
	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*/
	if(Tvar[k]<=0 \|\| Tvar[k]>=NCOVMAX){
	printf("Error k=%d \n",k);
	exit(1);
	}
	if(isnan(covar[Tvar[k]][i])){
	printf("ERROR, IMaCh doesn't treat fixed quantitative covariate with missing values V%d=., individual %d will be skipped.\n",Tvar[k],i);
	fprintf(ficlog,"ERROR, currently IMaCh doesn't treat covariate with missing values V%d=., individual %d will be skipped.\n",Tvar[k],i);
	fflush(ficlog);
	exit(1);
	}
	}
	} /* end Quanti */
} /* end of loop on model-covariate k. nbcode[Tvark][1]=-1, nbcode[Tvark][1]=0 and nbcode[Tvark][2]=1 sets the value of covariate k*/	} /* end of loop on model-covariate k. nbcode[Tvark][1]=-1, nbcode[Tvark][1]=0 and nbcode[Tvark][2]=1 sets the value of covariate k*/

for (k=-1; k< maxncov; k++) Ndum[k]=0;	for (k=-1; k< maxncov; k++) Ndum[k]=0;
Line 5555 void concatwav(int wav[], int **dh, int	Line 6257 void concatwav(int wav[], int **dh, int

ij=0;	ij=0;
/* for (i=0; i<= maxncov-1; i++) { /\* modmaxcovj is unknown here. Only Ndum[2(V2),3(ageV3), 5(V3V2) 6(V1V4) \/ */	/* for (i=0; i<= maxncov-1; i++) { /\* modmaxcovj is unknown here. Only Ndum[2(V2),3(ageV3), 5(V3V2) 6(V1V4) \/ */
for (k=1; k<= cptcovt; k++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(ageV3), 5(V3V2) 6(V1V4) /	for (k=1; k<= cptcovt; k++) { /* cptcovt: total number of covariates of the model (2) nbocc(+)+1 = 8 excepting constant and age and ageage /
	/* modmaxcovj is unknown here. Only Ndum[2(V2),3(ageV3), 5(V3V2) 6(V1V4) /
/printf("Ndum[%d]=%d\n",i, Ndum[i]);/	/printf("Ndum[%d]=%d\n",i, Ndum[i]);/
/* if((Ndum[i]!=0) && (i<=ncovcol)){ /\* Tvar[i] <= ncovmodel ? \/ /	/* if((Ndum[i]!=0) && (i<=ncovcol)){ /\* Tvar[i] <= ncovmodel ? \/ /
if(Ndum[Tvar[k]]!=0 && Dummy[k] == 0 && Typevar[k]==0){ /* Only Dummy and non empty in the model */	if(Ndum[Tvar[k]]!=0 && Dummy[k] == 0 && Typevar[k]==0){ /* Only Dummy simple and non empty in the model */
	/* Typevar[k] =0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */
	/* Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product*/
/* If product not in single variable we don't print results */	/* If product not in single variable we don't print results */
/printf("diff Ndum[%d]=%d\n",i, Ndum[i]);/	/printf("diff Ndum[%d]=%d\n",i, Ndum[i]);/
++ij;/* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1, */	++ij;/* V5 + V4 + V3 + V4V3 + V5age + V2 + V1V2 + V1age + V1, // V5 quanti, V2 quanti, V4, V3, V1 dummies */
	/* k= 1 2 3 4 5 6 7 8 9 */
	/* Tvar[k]= 5 4 3 6 5 2 7 1 1 */
	/* ij 1 2 3 */
	/* Tvaraff[ij]= 4 3 1 */
	/* Tmodelind[ij]=2 3 9 */
	/* TmodelInvind[ij]=2 1 1 */
Tvaraff[ij]=Tvar[k]; /* For printing combination // V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1, Tvar {5, 4, 3, 6, 5, 2, 7, 1, 1} Tvaraff={4, 3, 1} V4, V3, V1*/	Tvaraff[ij]=Tvar[k]; /* For printing combination // V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1, Tvar {5, 4, 3, 6, 5, 2, 7, 1, 1} Tvaraff={4, 3, 1} V4, V3, V1*/
Tmodelind[ij]=k; /* Tmodelind: index in model of dummies Tmodelind[1]=2 V4: pos=2; V3: pos=3, V1=9 {2, 3, 9, ?, ?,} */	Tmodelind[ij]=k; /* Tmodelind: index in model of dummies Tmodelind[1]=2 V4: pos=2; V3: pos=3, V1=9 {2, 3, 9, ?, ?,} */
TmodelInvind[ij]=Tvar[k]- ncovcol-nqv; /* Inverse TmodelInvind[2=V4]=2 second dummy varying cov (V4)4-1-1 {0, 2, 1, } TmodelInvind[3]=1 */	TmodelInvind[ij]=Tvar[k]- ncovcol-nqv; /* Inverse TmodelInvind[2=V4]=2 second dummy varying cov (V4)4-1-1 {0, 2, 1, } TmodelInvind[3]=1 */
Line 5577 void concatwav(int wav[], int **dh, int	Line 6288 void concatwav(int wav[], int **dh, int
} /* Tvaraff[1]@5 {3, 4, -20, 0, 0} Very strange */	} /* Tvaraff[1]@5 {3, 4, -20, 0, 0} Very strange */
/* ij--; */	/* ij--; */
/* cptcoveff=ij; /\Number of total covariates\/ */	/* cptcoveff=ij; /\Number of total covariates\/ */
cptcov=ij; /Number of total real effective covariates: effective	cptcov=ij; / cptcov= Number of total real effective simple dummies (fixed or time arying) effective (used as cptcoveff in other functions)
* because they can be excluded from the model and real	* because they can be excluded from the model and real
* if in the model but excluded because missing values, but how to get k from ij?*/	* if in the model but excluded because missing values, but how to get k from ij?*/
for(j=ij+1; j<= cptcovt; j++){	for(j=ij+1; j<= cptcovt; j++){
Line 5598 void concatwav(int wav[], int **dh, int	Line 6309 void concatwav(int wav[], int **dh, int

{	{
/* Health expectancies, no variances */	/* Health expectancies, no variances */
	/* cij is the combination in the list of combination of dummy covariates */
	/* strstart is a string of time at start of computing */
int i, j, nhstepm, hstepm, h, nstepm;	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;
Line 5666 void concatwav(int wav[], int **dh, int	Line 6379 void concatwav(int wav[], int **dh, int
/* If stepm=6 months */	/* If stepm=6 months */
/* Computed by stepm unit matrices, product of hstepma matrices, stored	/* Computed by stepm unit matrices, product of hstepma matrices, stored
in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */	in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */
	/* printf("HELLO evsij Entering hpxij age=%d cij=%d hstepm=%d x[1]=%f nres=%d\n",(int) age, cij, hstepm, x[1], nres); */
hpxij(p3mat,nhstepma,age,hstepm,x,nlstate,stepm,oldm, savm, cij, nres);	hpxij(p3mat,nhstepma,age,hstepm,x,nlstate,stepm,oldm, savm, cij, nres);

hf=hstepmstepm/YEARM; / Duration of hstepm expressed in year unit. */	hf=hstepmstepm/YEARM; / Duration of hstepm expressed in year unit. */
Line 5708 void concatwav(int wav[], int **dh, int	Line 6421 void concatwav(int wav[], int **dh, int
/* Covariances of health expectancies eij and of total life expectancies according	/* Covariances of health expectancies eij and of total life expectancies according
to initial status i, ei. .	to initial status i, ei. .
*/	*/
	/* Very time consuming function, but already optimized with precov */
int i, j, nhstepm, hstepm, h, nstepm, k, cptj, cptj2, i2, j2, ij, ji;	int i, j, nhstepm, hstepm, h, nstepm, k, cptj, cptj2, i2, j2, ij, ji;
int nhstepma, nstepma; /* Decreasing with age */	int nhstepma, nstepma; /* Decreasing with age */
double age, agelim, hf;	double age, agelim, hf;
Line 5855 void concatwav(int wav[], int **dh, int	Line 6569 void concatwav(int wav[], int **dh, int
varhe[ij][ji][(int)age] += doldm[ij][ji]hfhf;	varhe[ij][ji][(int)age] += doldm[ij][ji]hfhf;
}	}
}	}
	/* if((int)age ==50){ */
	/* printf(" age=%d cij=%d nres=%d varhe[%d][%d]=%f ",(int)age, cij, nres, 1,2,varhe[1][2]); */
	/* } */
/* Computing expectancies */	/* Computing expectancies */
hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij,nres);	hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij,nres);
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
Line 5974 void concatwav(int wav[], int **dh, int	Line 6690 void concatwav(int wav[], int **dh, int
pstamp(ficresprobmorprev);	pstamp(ficresprobmorprev);
fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1p1j+w2p2j+... stand dev in()\n",estepm);	fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1p1j+w2p2j+... stand dev in()\n",estepm);
fprintf(ficresprobmorprev,"# Selected quantitative variables and dummies");	fprintf(ficresprobmorprev,"# Selected quantitative variables and dummies");
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */
fprintf(ficresprobmorprev," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	/* We use TinvDoQresult[nres][resultmodel[nres][j] we sort according to the equation model and the resultline: it is a choice */
	/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value \/ /\ To be done\/ /
	/* fprintf(ficresprobmorprev," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */
	/* } */
	for (j=1; j<= cptcovs; j++){ /* For each selected (single) quantitative value / / To be done*/
	fprintf(ficresprobmorprev," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
}	}
for(j=1;j<=cptcoveff;j++)	/* for(j=1;j<=cptcoveff;j++) */
fprintf(ficresprobmorprev,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(ij,j)]);	/* fprintf(ficresprobmorprev," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(ij,TnsdVar[Tvaraff[j]])]); */
fprintf(ficresprobmorprev,"\n");	fprintf(ficresprobmorprev,"\n");

fprintf(ficresprobmorprev,"# Age cov=%-d",ij);	fprintf(ficresprobmorprev,"# Age cov=%-d",ij);
Line 6518 void varprob(char optionfilefiname[], do	Line 7239 void varprob(char optionfilefiname[], do
int k2, l2, j1, z1;	int k2, l2, j1, z1;
int k=0, l;	int k=0, l;
int first=1, first1, first2;	int first=1, first1, first2;
	int nres=0; /* New */
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;
Line 6605 To be simple, these graphs help to under	Line 7327 To be simple, these graphs help to under
tj = (int) pow(2,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(j1=1; j1<=tj;j1++){ /* For each valid combination of covariates or only once*/
	for(nres=1;nres <=nresult; nres++){ /* For each resultline */
	for(j1=1; j1<=tj;j1++){ /* For any combination of dummy covariates, fixed and varying */
	printf("Varprob TKresult[nres]=%d j1=%d, nres=%d, cptcovn=%d, cptcoveff=%d tj=%d cptcovs=%d\n", TKresult[nres], j1, nres, cptcovn, cptcoveff, tj, cptcovs);
	if(tj != 1 && TKresult[nres]!= j1)
	continue;

	/* for(j1=1; j1<=tj;j1++){ /\* For each valid combination of covariates or only once\/ /
	/* for(nres=1;nres <=1; nres++){ /\* For each resultline \/ /
	/* /\* for(nres=1;nres <=nresult; nres++){ /\\* For each resultline \\/ \/ */
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]][codtabm(j1,z1)]);
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]][codtabm(j1,z1)]);	fprintf(ficgp, "\n#********** Variable ");
	fprintf(fichtmcov, "\n<hr size=\"2\" color=\"#EC5E5E\">********** Variable ");
	fprintf(ficresprobcor, "\n#********** Variable ");

	/* Including quantitative variables of the resultline to be done */
	for (z1=1; z1<=cptcovs; z1++){ /* Loop on each variable of this resultline */
	printf("Varprob modelresult[%d][%d]=%d model=1+age+%s \n",nres, z1, modelresult[nres][z1], model);
	fprintf(ficlog,"Varprob modelresult[%d][%d]=%d model=1+age+%s \n",nres, z1, modelresult[nres][z1], model);
	/* fprintf(ficlog,"Varprob modelresult[%d][%d]=%d model=1+age+%s resultline[%d]=%s \n",nres, z1, modelresult[nres][z1], model, nres, resultline[nres]); */
	if(Dummy[modelresult[nres][z1]]==0){/* Dummy variable of the variable in position modelresult in the model corresponding to z1 in resultline */
	if(Fixed[modelresult[nres][z1]]==0){ /* Fixed referenced to model equation */
	fprintf(ficresprob,"V%d=%d ",Tvresult[nres][z1],Tresult[nres][z1]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */
	fprintf(ficresprobcov,"V%d=%d ",Tvresult[nres][z1],Tresult[nres][z1]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */
	fprintf(ficgp,"V%d=%d ",Tvresult[nres][z1],Tresult[nres][z1]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */
	fprintf(fichtmcov,"V%d=%d ",Tvresult[nres][z1],Tresult[nres][z1]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */
	fprintf(ficresprobcor,"V%d=%d ",Tvresult[nres][z1],Tresult[nres][z1]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */
	fprintf(ficresprob,"fixed ");
	fprintf(ficresprobcov,"fixed ");
	fprintf(ficgp,"fixed ");
	fprintf(fichtmcov,"fixed ");
	fprintf(ficresprobcor,"fixed ");
	}else{
	fprintf(ficresprob,"varyi ");
	fprintf(ficresprobcov,"varyi ");
	fprintf(ficgp,"varyi ");
	fprintf(fichtmcov,"varyi ");
	fprintf(ficresprobcor,"varyi ");
	}
	}else if(Dummy[modelresult[nres][z1]]==1){ /* Quanti variable */
	/* For each selected (single) quantitative value */
	fprintf(ficresprob," V%d=%lg ",Tvqresult[nres][z1],Tqresult[nres][z1]);
	if(Fixed[modelresult[nres][z1]]==0){ /* Fixed */
	fprintf(ficresprob,"fixed ");
	fprintf(ficresprobcov,"fixed ");
	fprintf(ficgp,"fixed ");
	fprintf(fichtmcov,"fixed ");
	fprintf(ficresprobcor,"fixed ");
	}else{
	fprintf(ficresprob,"varyi ");
	fprintf(ficresprobcov,"varyi ");
	fprintf(ficgp,"varyi ");
	fprintf(fichtmcov,"varyi ");
	fprintf(ficresprobcor,"varyi ");
	}
	}else{
	printf("Error in varprob() Dummy[modelresult[%d][%d]]=%d, modelresult[%d][%d]=V%d cptcovs=%d, cptcoveff=%d \n", nres, z1, Dummy[modelresult[nres][z1]],nres,z1,modelresult[nres][z1],cptcovs, cptcoveff); /* end if dummy or quanti */
	fprintf(ficlog,"Error in varprob() Dummy[modelresult[%d][%d]]=%d, modelresult[%d][%d]=V%d cptcovs=%d, cptcoveff=%d \n", nres, z1, Dummy[modelresult[nres][z1]],nres,z1,modelresult[nres][z1],cptcovs, cptcoveff); /* end if dummy or quanti */
	exit(1);
	}
	} /* End loop on variable of this resultline */
	/* for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,TnsdVar[Tvaraff[z1]])]); */
	fprintf(ficresprob, "**********\n#\n");
fprintf(ficresprobcov, "**********\n#\n");	fprintf(ficresprobcov, "**********\n#\n");

fprintf(ficgp, "\n#********** Variable ");
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 ");
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 ");
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#");
if(invalidvarcomb[j1]){	if(invalidvarcomb[j1]){
fprintf(ficgp,"\n#Combination (%d) ignored because no cases \n",j1);	fprintf(ficgp,"\n#Combination (%d) ignored because no cases \n",j1);
Line 6636 To be simple, these graphs help to under	Line 7406 To be simple, these graphs help to under
trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);	trgradg=matrix(1,(nlstate)*(nlstate+ndeath),1,npar);
gp=vector(1,(nlstate)*(nlstate+ndeath));	gp=vector(1,(nlstate)*(nlstate+ndeath));
gm=vector(1,(nlstate)*(nlstate+ndeath));	gm=vector(1,(nlstate)*(nlstate+ndeath));
for (age=bage; age<=fage; age ++){	for (age=bage; age<=fage; age ++){ /* Fo each age we feed the model equation with covariates, using precov as in hpxij() ? */
cov[2]=age;	cov[2]=age;
if(nagesqr==1)	if(nagesqr==1)
cov[3]= age*age;	cov[3]= age*age;
for (k=1; k<=cptcovn;k++) {	/* New code end of combination but for each resultline */
cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)];	for(k1=1;k1<=cptcovt;k1++){ /* loop on model equation (including products) */
/cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];//* j1 1 2 3 4	if(Typevar[k1]==1){ /* A product with age */
* 1 1 1 1 1	cov[2+nagesqr+k1]=precov[nres][k1]*cov[2];
* 2 2 1 1 1	}else{
* 3 1 2 1 1	cov[2+nagesqr+k1]=precov[nres][k1];
*/	}
/* nbcode[1][1]=0 nbcode[1][2]=1;*/	}/* End of loop on model equation */
}	/* Old code */
/* for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; /	/* /\* for (k=1; k<=cptcovn;k++) { \/ /
for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2];	/* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)]; \/ /
for (k=1; k<=cptcovprod;k++)	/* for (k=1; k<=nsd;k++) { /\* For single dummy covariates only \/ /
cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)];	/* /\* Here comes the value of the covariate 'j1' after renumbering k with single dummy covariates \/ /
	/* cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(j1,TnsdVar[TvarsD[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;\/ /
	/* } */
	/* /\* V2+V1+V4+V3age Tvar[4]=3 ; V1+V2age Tvar[2]=2; V1+V1age Tvar[2]=1, Tage[1]=2 \/ */
	/* /\* ) p nbcode[Tvar[Tage[k]]][(1 & (ij-1) >> (k-1))+1] \/ /
	/* /\for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]cov[2]; \/ /
	/* for (k=1; k<=cptcovage;k++){ /\* For product with age \/ /
	/* if(Dummy[Tage[k]]==2){ /\* dummy with age \/ /
	/* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(j1,TnsdVar[Tvar[Tage[k]]])]cov[2]; /
	/* /\* cov[++k1]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]cov[2]; \/ */
	/* } else if(Dummy[Tage[k]]==3){ /\* quantitative with age \/ /
	/* printf("Internal IMaCh error, don't know which value for quantitative covariate with age, Tage[k]%d, k=%d, Tvar[Tage[k]]=V%d, age=%d\n",Tage[k],k ,Tvar[Tage[k]], (int)cov[2]); */
	/* /\* cov[2+nagesqr+Tage[k]]=meanq[k]/idq[k]cov[2];/\\ Using the mean of quantitative variable Tvar[Tage[k]] /\\* Tqresult[nres][k]; \\/ \/ */
	/* /\* exit(1); \/ /
	/* /\* cov[++k1]=Tqresult[nres][k]; \/ /
	/* } */
	/* /\* cov[2+Tage[k]+nagesqr]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]cov[2]; \/ */
	/* } */
	/* for (k=1; k<=cptcovprod;k++){/\* For product without age \/ /
	/* if(Dummy[Tvard[k][1]]==0){ */
	/* if(Dummy[Tvard[k][2]]==0){ */
	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(j1,TnsdVar[Tvard[k][1]])] * nbcode[Tvard[k][2]][codtabm(j1,TnsdVar[Tvard[k][2]])]; */
	/* /\* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; \/ /
	/* }else{ /\* Should we use the mean of the quantitative variables? \/ /
	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(j1,TnsdVar[Tvard[k][1]])] * Tqresult[nres][resultmodel[nres][k]]; */
	/* /\* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; \/ /
	/* } */
	/* }else{ */
	/* if(Dummy[Tvard[k][2]]==0){ */
	/* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(j1,TnsdVar[Tvard[k][2]])] * Tqinvresult[nres][TnsdVar[Tvard[k][1]]]; */
	/* /\* cov[++k1]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; \/ /
	/* }else{ */
	/* cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][TnsdVar[Tvard[k][1]]]* Tqinvresult[nres][TnsdVar[Tvard[k][2]]]; */
	/* /\* cov[++k1]=Tqinvresult[nres][Tvard[k][1]]* Tqinvresult[nres][Tvard[k][2]]; \/ /
	/* } */
	/* } */
	/* /\* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]nbcode[Tvard[k][2]][codtabm(ij,k)]; \/ */
	/* } */
	/* For each age and combination of dummy covariates we slightly move the parameters of delti in order to get the gradient*/
for(theta=1; theta <=npar; theta++){	for(theta=1; theta <=npar; theta++){
for(i=1; i<=npar; i++)	for(i=1; i<=npar; i++)
xp[i] = x[i] + (i==theta ?delti[theta]:(double)0);	xp[i] = x[i] + (i==theta ?delti[theta]:(double)0);
Line 6840 To be simple, these graphs help to under	Line 7652 To be simple, these graphs help to under
} /l1 /	} /l1 /
}/* k1 */	}/* k1 */
} /* loop on combination of covariates j1 */	} /* loop on combination of covariates j1 */
	} /* loop on nres */
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);
free_matrix(doldm,1,(nlstate)(nlstate+ndeath),1,(nlstate)(nlstate+ndeath));	free_matrix(doldm,1,(nlstate)(nlstate+ndeath),1,(nlstate)(nlstate+ndeath));
Line 6861 void printinghtml(char fileresu[], char	Line 7674 void printinghtml(char fileresu[], char
double jprev1, double mprev1,double anprev1, double dateprev1, double dateprojd, double dateback1, \	double jprev1, double mprev1,double anprev1, double dateprev1, double dateprojd, double dateback1, \
double jprev2, double mprev2,double anprev2, double dateprev2, double dateprojf, double dateback2){	double jprev2, double mprev2,double anprev2, double dateprev2, double dateprojf, double dateback2){
int jj1, k1, i1, cpt, k4, nres;	int jj1, k1, i1, cpt, k4, nres;
	/* In fact some results are already printed in fichtm which is open */
fprintf(fichtm,"<ul><li><a href='#firstorder'>Result files (first order: no variance)</a>\n \	fprintf(fichtm,"<ul><li><a href='#firstorder'>Result files (first order: no variance)</a>\n \
<li><a href='#secondorder'>Result files (second order (variance)</a>\n \	<li><a href='#secondorder'>Result files (second order (variance)</a>\n \
</ul>");	</ul>");
fprintf(fichtm,"<ul><li> model=1+age+%s\n \	/* fprintf(fichtm,"<ul><li> model=1+age+%s\n \ */
</ul>", model);	/* </ul>", model); */
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");
fprintf(fichtm,"<li>- Observed frequency between two states (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> (html file)<br/>\n",	fprintf(fichtm,"<li>- Observed frequency between two states (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> (html file)<br/>\n",
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTMFR_",".htm"),subdirfext3(optionfilefiname,"PHTMFR_",".htm"));	jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTMFR_",".htm"),subdirfext3(optionfilefiname,"PHTMFR_",".htm"));
fprintf(fichtm,"<li> - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> (html file) ",	fprintf(fichtm,"<li> - Observed prevalence (cross-sectional prevalence) in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> (html file) ",
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTM_",".htm"),subdirfext3(optionfilefiname,"PHTM_",".htm"));	jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTM_",".htm"),subdirfext3(optionfilefiname,"PHTM_",".htm"));
fprintf(fichtm,", <a href=\"%s\">%s</a> (text file) <br>\n",subdirf2(fileresu,"P_"),subdirf2(fileresu,"P_"));	fprintf(fichtm,", <a href=\"%s\">%s</a> (text file) <br>\n",subdirf2(fileresu,"P_"),subdirf2(fileresu,"P_"));
fprintf(fichtm,"\	fprintf(fichtm,"\
Line 6899 void printinghtml(char fileresu[], char	Line 7712 void printinghtml(char fileresu[], char
m=pow(2,cptcoveff);	m=pow(2,cptcoveff);
if (cptcovn < 1) {m=1;ncodemax[1]=1;}	if (cptcovn < 1) {m=1;ncodemax[1]=1;}

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

jj1=0;	jj1=0;

fprintf(fichtm," \n<ul>");	fprintf(fichtm," \n<ul>");
for(nres=1; nres <= nresult; nres++) /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
for(k1=1; k1<=m;k1++){ /* For each combination of covariate */	/* k1=nres; */
if(m != 1 && TKresult[nres]!= k1)	k1=TKresult[nres];
continue;	if(TKresult[nres]==0)k1=1; /* To be checked for no result */
	/* for(k1=1; k1<=m;k1++){ /\* For each combination of covariate \/ /
	/* if(m != 1 && TKresult[nres]!= k1) */
	/* continue; */
jj1++;	jj1++;
if (cptcovn > 0) {	if (cptcovn > 0) {
fprintf(fichtm,"\n<li><a size=\"1\" color=\"#EC5E5E\" href=\"#rescov");	fprintf(fichtm,"\n<li><a size=\"1\" color=\"#EC5E5E\" href=\"#rescov");
for (cpt=1; cpt<=cptcoveff;cpt++){	for (cpt=1; cpt<=cptcovs;cpt++){ /*< cptcovs number of SIMPLE covariates in the model V2+V1 =2 (dummy or quantit or time varying) /
fprintf(fichtm,"_V%d=%d_",Tvresult[nres][cpt],(int)Tresult[nres][cpt]);	fprintf(fichtm,"_V%d=%lg_",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]);
}
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
fprintf(fichtm,"_V%d=%f_",Tvqresult[nres][k4],Tqresult[nres][k4]);
}	}
	/* for (cpt=1; cpt<=cptcoveff;cpt++){ */
	/* fprintf(fichtm,"_V%d=%d_",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); */
	/* } */
	/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value \/ /
	/* fprintf(fichtm,"_V%d=%f_",Tvqresult[nres][k4],Tqresult[nres][k4]); */
	/* } */
fprintf(fichtm,"\">");	fprintf(fichtm,"\">");

/* if(nqfveff+nqtveff 0) / / Test to be done */	/* if(nqfveff+nqtveff 0) / / Test to be done */
fprintf(fichtm,"************ Results for covariates");	fprintf(fichtm,"************ Results for covariates");
for (cpt=1; cpt<=cptcoveff;cpt++){	for (cpt=1; cpt<=cptcovs;cpt++){
fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],(int)Tresult[nres][cpt]);	fprintf(fichtm," V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]);
}
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
}	}
	/* fprintf(fichtm,"************ Results for covariates"); */
	/* for (cpt=1; cpt<=cptcoveff;cpt++){ */
	/* fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],(int)Tresult[nres][cpt]); */
	/* } */
	/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value \/ /
	/* fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */
	/* } */
if(invalidvarcomb[k1]){	if(invalidvarcomb[k1]){
fprintf(fichtm," Warning Combination (%d) ignored because no cases ",k1);	fprintf(fichtm," Warning Combination (%d) ignored because no cases ",k1);
continue;	continue;
Line 6934 void printinghtml(char fileresu[], char	Line 7757 void printinghtml(char fileresu[], char
fprintf(fichtm,"</a></li>");	fprintf(fichtm,"</a></li>");
} /* cptcovn >0 */	} /* cptcovn >0 */
}	}
fprintf(fichtm," \n</ul>");	fprintf(fichtm," \n</ul>");

jj1=0;	jj1=0;

for(nres=1; nres <= nresult; nres++) /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
for(k1=1; k1<=m;k1++){ /* For each combination of covariate */	/* k1=nres; */
if(m != 1 && TKresult[nres]!= k1)	k1=TKresult[nres];
continue;	if(TKresult[nres]==0) k1=1; /* To be checked for noresult */
	/* for(k1=1; k1<=m;k1++){ /\* For each combination of covariate \/ /
	/* if(m != 1 && TKresult[nres]!= k1) */
	/* continue; */

/* for(i1=1; i1<=ncodemax[k1];i1++){ */	/* for(i1=1; i1<=ncodemax[k1];i1++){ */
jj1++;	jj1++;
if (cptcovn > 0) {	if (cptcovn > 0) {
fprintf(fichtm,"\n<p><a name=\"rescov");	fprintf(fichtm,"\n<p><a name=\"rescov");
for (cpt=1; cpt<=cptcoveff;cpt++){	for (cpt=1; cpt<=cptcovs;cpt++){
fprintf(fichtm,"_V%d=%d_",Tvresult[nres][cpt],(int)Tresult[nres][cpt]);	fprintf(fichtm,"_V%d=%lg_",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]);
}
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
fprintf(fichtm,"_V%d=%f_",Tvqresult[nres][k4],Tqresult[nres][k4]);
}	}
	/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value \/ /
	/* fprintf(fichtm,"_V%d=%f_",Tvqresult[nres][k4],Tqresult[nres][k4]); */
	/* } */
fprintf(fichtm,"\"</a>");	fprintf(fichtm,"\"</a>");

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<=cptcovs;cpt++){
fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],(int)Tresult[nres][cpt]);	fprintf(fichtm," V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]);
printf(" V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]);fflush(stdout);	printf(" V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]);
/* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(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); */	/* printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); */
}	}
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);fflush(stdout);
}

/* if(nqfveff+nqtveff 0) / / Test to be done */	/* if(nqfveff+nqtveff 0) / / Test to be done */
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");	fprintf(fichtm," (model=1+age+%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model);
if(invalidvarcomb[k1]){	if(invalidvarcomb[k1]){
fprintf(fichtm,"\n<h3>Combination (%d) ignored because no cases </h3>\n",k1);	fprintf(fichtm,"\n<h3>Combination (%d) ignored because no cases </h3>\n",k1);
printf("\nCombination (%d) ignored because no cases \n",k1);	printf("\nCombination (%d) ignored because no cases \n",k1);
Line 6989 divided by h: <sub>h</sub>P<sub>ij</sub>	Line 7810 divided by h: <sub>h</sub>P<sub>ij</sub>
<img src=\"%s_%d-3-%d.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres);	<img src=\"%s_%d-3-%d.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres);
/* Survival functions (period) in state j */	/* Survival functions (period) in state j */
for(cpt=1; cpt<=nlstate;cpt++){	for(cpt=1; cpt<=nlstate;cpt++){
fprintf(fichtm,"<br>\n- Survival functions in state %d. And probability to be observed in state %d being in state (1 to %d) at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \	fprintf(fichtm,"<br>\n- Survival functions in state %d. And probability to be observed in state %d being in state (1 to %d) at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br>", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres);
<img src=\"%s_%d-%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres);	fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"PIJ_"),subdirf2(optionfilefiname,"PIJ_"));
	fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">",subdirf2(optionfilefiname,"LIJ_"),cpt,k1,nres);
}	}
/* State specific survival functions (period) */	/* State specific survival functions (period) */
for(cpt=1; cpt<=nlstate;cpt++){	for(cpt=1; cpt<=nlstate;cpt++){
fprintf(fichtm,"<br>\n- Survival functions in state %d and in any other live state (total).\	fprintf(fichtm,"<br>\n- Survival functions in state %d and in any other live state (total).\
And probability to be observed in various states (up to %d) being in state %d at different ages. \	And probability to be observed in various states (up to %d) being in state %d at different ages. \
<a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> <img src=\"%s_%d-%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres);	<a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> ", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres,subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres);
	fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"PIJ_"),subdirf2(optionfilefiname,"PIJ_"));
	fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">",subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres);
}	}
/* Period (forward stable) prevalence in each health state */	/* Period (forward stable) prevalence in each health state */
for(cpt=1; cpt<=nlstate;cpt++){	for(cpt=1; cpt<=nlstate;cpt++){
fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability for a person being in state (1 to %d) at different ages, to be in state %d some years after. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \	fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability for a person being in state (1 to %d) at different ages, to be in state %d some years after. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br>", cpt, nlstate, cpt, subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres);
<img src=\"%s_%d-%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres,subdirf2(optionfilefiname,"P_"),cpt,k1,nres);	fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"PIJ_"),subdirf2(optionfilefiname,"PIJ_"));
	fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">" ,subdirf2(optionfilefiname,"P_"),cpt,k1,nres);
}	}
if(prevbcast==1){	if(prevbcast==1){
/* Backward prevalence in each health state */	/* Backward prevalence in each health state */
for(cpt=1; cpt<=nlstate;cpt++){	for(cpt=1; cpt<=nlstate;cpt++){
fprintf(fichtm,"<br>\n- Convergence to mixed (stable) back prevalence in state %d. Or probability for a person to be in state %d at a younger age, knowing that she/he was in state (1 to %d) at different older ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \	fprintf(fichtm,"<br>\n- Convergence to mixed (stable) back prevalence in state %d. Or probability for a person to be in state %d at a younger age, knowing that she/he was in state (1 to %d) at different older ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br>", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres);
<img src=\"%s_%d-%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres);	fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"PIJB_"),subdirf2(optionfilefiname,"PIJB_"));
	fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">" ,subdirf2(optionfilefiname,"PB_"),cpt,k1,nres);
}	}
}	}
if(prevfcast==1){	if(prevfcast==1){
/* Projection of prevalence up to period (forward stable) prevalence in each health state */	/* Projection of prevalence up to period (forward stable) prevalence in each health state */
for(cpt=1; cpt<=nlstate;cpt++){	for(cpt=1; cpt<=nlstate;cpt++){
fprintf(fichtm,"<br>\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), from year %.1f up to year %.1f tending to period (stable) forward prevalence in state %d. Or probability to be in state %d being in an observed weighted state (from 1 to %d). <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \	fprintf(fichtm,"<br>\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), from year %.1f up to year %.1f tending to period (stable) forward prevalence in state %d. Or probability to be in state %d being in an observed weighted state (from 1 to %d). <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a>", dateprev1, dateprev2, mobilavproj, dateprojd, dateprojf, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres);
<img src=\"%s_%d-%d-%d.svg\">", dateprev1, dateprev2, mobilavproj, dateprojd, dateprojf, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres);	fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"F_"),subdirf2(optionfilefiname,"F_"));
	fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">",
	subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres);
}	}
}	}
if(prevbcast==1){	if(prevbcast==1){
Line 7023 divided by h: <sub>h</sub>P<sub>ij</sub>	Line 7851 divided by h: <sub>h</sub>P<sub>ij</sub>
fprintf(fichtm,"<br>\n- Back projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), \	fprintf(fichtm,"<br>\n- Back projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), \
from year %.1f up to year %.1f (probably close to stable [mixed] back prevalence in state %d (randomness in cross-sectional prevalence is not taken into \	from year %.1f up to year %.1f (probably close to stable [mixed] back prevalence in state %d (randomness in cross-sectional prevalence is not taken into \
account but can visually be appreciated). Or probability to have been in an state %d, knowing that the person was in either state (1 or %d) \	account but can visually be appreciated). Or probability to have been in an state %d, knowing that the person was in either state (1 or %d) \
with weights corresponding to observed prevalence at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \	with weights corresponding to observed prevalence at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a>", dateprev1, dateprev2, mobilavproj, dateback1, dateback2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres);
<img src=\"%s_%d-%d-%d.svg\">", dateprev1, dateprev2, mobilavproj, dateback1, dateback2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres);	fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>)\n<br>",subdirf2(optionfilefiname,"FB_"),subdirf2(optionfilefiname,"FB_"));
	fprintf(fichtm," <img src=\"%s_%d-%d-%d.svg\">", subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres);
}	}
}	}

for(cpt=1; cpt<=nlstate;cpt++) {	for(cpt=1; cpt<=nlstate;cpt++) {
fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) (or area under each survival functions): <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</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-%d.svg\">%s_%d-%d-%d.svg</a>",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres);
<img src=\"%s_%d-%d-%d.svg\">",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres,subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres);	fprintf(fichtm," (data from text file <a href=\"%s.txt\"> %s.txt</a>)\n<br>",subdirf2(optionfilefiname,"E_"),subdirf2(optionfilefiname,"E_"));
	fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">", subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres );
}	}
/* } /\* end i1 \/ /	/* } /\* end i1 \/ /
}/* End k1 */	}/* End k1=nres */
fprintf(fichtm,"</ul>");	fprintf(fichtm,"</ul>");

fprintf(fichtm,"\	fprintf(fichtm,"\
Line 7080 See page 'Matrix of variance-covariance	Line 7910 See page 'Matrix of variance-covariance
/* - Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n */	/* - Population forecasting (if popforecast=1): <a href=\"pop%s\">pop%s</a> <br>\n */
/* <br>",fileres,fileres,fileres,fileres); */	/* <br>",fileres,fileres,fileres,fileres); */
/* else */	/* else */
/* fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */	/* fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=1+age+%s (instead of .)<br><br></li>\n",popforecast, stepm, model); */
fflush(fichtm);	fflush(fichtm);
fprintf(fichtm," <ul><li><b>Graphs</b></li><p>");

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

	fprintf(fichtm," <ul><li><b>Graphs (second order)</b></li><p>");

	jj1=0;

	fprintf(fichtm," \n<ul>");
	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
	/* k1=nres; */
	k1=TKresult[nres];
	/* for(k1=1; k1<=m;k1++){ /\* For each combination of covariate \/ /
	/* if(m != 1 && TKresult[nres]!= k1) */
	/* continue; */
	jj1++;
	if (cptcovn > 0) {
	fprintf(fichtm,"\n<li><a size=\"1\" color=\"#EC5E5E\" href=\"#rescovsecond");
	for (cpt=1; cpt<=cptcovs;cpt++){
	fprintf(fichtm,"_V%d=%lg_",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]);
	}
	fprintf(fichtm,"\">");

	/* if(nqfveff+nqtveff 0) / / Test to be done */
	fprintf(fichtm,"************ Results for covariates");
	for (cpt=1; cpt<=cptcovs;cpt++){
	fprintf(fichtm," V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]);
	}
	if(invalidvarcomb[k1]){
	fprintf(fichtm," Warning Combination (%d) ignored because no cases ",k1);
	continue;
	}
	fprintf(fichtm,"</a></li>");
	} /* cptcovn >0 */
	} /* End nres */
	fprintf(fichtm," \n</ul>");

jj1=0;	jj1=0;

for(nres=1; nres <= nresult; nres++){ /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
for(k1=1; k1<=m;k1++){	/* k1=nres; */
if(m != 1 && TKresult[nres]!= k1)	k1=TKresult[nres];
continue;	if(TKresult[nres]==0) k1=1; /* To be checked for noresult */
	/* for(k1=1; k1<=m;k1++){ */
	/* if(m != 1 && TKresult[nres]!= k1) */
	/* continue; */
/* for(i1=1; i1<=ncodemax[k1];i1++){ */	/* for(i1=1; i1<=ncodemax[k1];i1++){ */
jj1++;	jj1++;
if (cptcovn > 0) {	if (cptcovn > 0) {
	fprintf(fichtm,"\n<p><a name=\"rescovsecond");
	for (cpt=1; cpt<=cptcovs;cpt++){
	fprintf(fichtm,"_V%d=%lg_",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]);
	}
	fprintf(fichtm,"\"</a>");

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++) /*< cptcoveff number of variables /	for (cpt=1; cpt<=cptcovs;cpt++){ /*< cptcoveff number of variables /
fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]);	fprintf(fichtm," V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]);
	printf(" V%d=%lg ",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]);
/* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); */	/* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); */
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */	}
fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
}

fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");	fprintf(fichtm," (model=1+age+%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model);

if(invalidvarcomb[k1]){	if(invalidvarcomb[k1]){
fprintf(fichtm,"\n<h4>Combination (%d) ignored because no cases </h4>\n",k1);	fprintf(fichtm,"\n<h4>Combination (%d) ignored because no cases </h4>\n",k1);
continue;	continue;
}	}
}	} /* If cptcovn >0 */
for(cpt=1; cpt<=nlstate;cpt++) {	for(cpt=1; cpt<=nlstate;cpt++) {
fprintf(fichtm,"\n<br>- Observed (cross-sectional with mov_average=%d) and period (incidence based) \	fprintf(fichtm,"\n<br>- Observed (cross-sectional with mov_average=%d) and period (incidence based) \
prevalence (with 95%% confidence interval) in state (%d): <a href=\"%s_%d-%d-%d.svg\"> %s_%d-%d-%d.svg</a>\n <br>\	prevalence (with 95%% confidence interval) in state (%d): <a href=\"%s_%d-%d-%d.svg\"> %s_%d-%d-%d.svg</a>",mobilav,cpt,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres);
<img src=\"%s_%d-%d-%d.svg\">",mobilav,cpt,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres,subdirf2(optionfilefiname,"V_"),cpt,k1,nres);	fprintf(fichtm," (data from text file <a href=\"%s\">%s</a>)\n <br>",subdirf2(fileresu,"VPL_"),subdirf2(fileresu,"VPL_"));
	fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">",subdirf2(optionfilefiname,"V_"), cpt,k1,nres);
}	}
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 each live states (1 to %d). 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: <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a>\n<br>\	observed and cahotic prevalences: <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a>",nlstate, subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres);
<img src=\"%s_%d-%d.svg\">",subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres);	fprintf(fichtm," (data from text file <a href=\"%s.txt\">%s.txt</a>) \n<br>",subdirf2(optionfilefiname,"T_"),subdirf2(optionfilefiname,"T_"));
	fprintf(fichtm,"<img src=\"%s_%d-%d.svg\">",subdirf2(optionfilefiname,"E_"),k1,nres);
/* } /\* end i1 \/ /	/* } /\* end i1 \/ /
}/* End k1 */
}/* End nres */	}/* End nres */
fprintf(fichtm,"</ul>");	fprintf(fichtm,"</ul>");
fflush(fichtm);	fflush(fichtm);
Line 7201 void printinggnuplot(char fileresu[], ch	Line 8072 void printinggnuplot(char fileresu[], ch
strcpy(optfileres,"vpl");	strcpy(optfileres,"vpl");
/* 1eme*/	/* 1eme*/
for (cpt=1; cpt<= nlstate ; cpt ++){ /* For each live state */	for (cpt=1; cpt<= nlstate ; cpt ++){ /* For each live state */
for (k1=1; k1<= m ; k1 ++){ /* For each valid combination of covariate */	/* for (k1=1; k1<= m ; k1 ++){ /\* For each valid combination of covariate \/ /
for(nres=1; nres <= nresult; nres++){ /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
	k1=TKresult[nres];
	if(TKresult[nres]==0) k1=1; /* To be checked for noresult */
/* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */	/* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */
if(m != 1 && TKresult[nres]!= k1)	/* if(m != 1 && TKresult[nres]!= k1) */
continue;	/* continue; */
/* We are interested in selected combination by the resultline */	/* We are interested in selected combination by the resultline */
/* printf("\n# 1st: Period (stable) prevalence with CI: 'VPL_' files and live state =%d ", cpt); */	/* printf("\n# 1st: Period (stable) prevalence with CI: 'VPL_' files and live state =%d ", cpt); */
fprintf(ficgp,"\n# 1st: Forward (stable period) prevalence with CI: 'VPL_' files and live state =%d ", cpt);	fprintf(ficgp,"\n# 1st: Forward (stable period) prevalence with CI: 'VPL_' files and live state =%d ", cpt);
strcpy(gplotlabel,"(");	strcpy(gplotlabel,"(");
for (k=1; k<=cptcoveff; k++){ /* For each covariate k get corresponding value lv for combination k1 */	for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */
lv= decodtabm(k1,k,cptcoveff); /* Should be the value of the covariate corresponding to k1 combination */	fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */	sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */	/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate k get corresponding value lv for combination k1 \/ /
vlv= nbcode[Tvaraff[k]][lv]; /* vlv is the value of the covariate lv, 0 or 1 */	/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the value of the covariate corresponding to k1 combination \\/ \/ */
/* For each combination of covariate k1 (V1=1, V3=0), we printed the current covariate k and its value vlv */	/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */
/* printf(" V%d=%d ",Tvaraff[k],vlv); */	/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 \/ /
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 \/ /
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 \/ /
}	/* vlv= nbcode[Tvaraff[k]][lv]; /\* vlv is the value of the covariate lv, 0 or 1 \/ /
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */	/* /\* For each combination of covariate k1 (V1=1, V3=0), we printed the current covariate k and its value vlv \/ /
/* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */	/* /\* printf(" V%d=%d ",Tvaraff[k],vlv); \/ /
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */
	/* } */
	/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value \/ /
	/* /\* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); \/ /
	/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */
}	}
strcpy(gplotlabel+strlen(gplotlabel),")");	strcpy(gplotlabel+strlen(gplotlabel),")");
/* printf("\n#\n"); */	/* printf("\n#\n"); */
Line 7238 void printinggnuplot(char fileresu[], ch	Line 8116 void printinggnuplot(char fileresu[], ch
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres);	fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres);
fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres);	fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres);
/* fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); */	/* fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); */
fprintf(ficgp,"set title \"Alive state %d %s\" font \"Helvetica,12\"\n",cpt,gplotlabel);	fprintf(ficgp,"set title \"Alive state %d %s model=1+age+%s\" font \"Helvetica,12\"\n",cpt,gplotlabel,model);
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres);	fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres);
/* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */	/* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */
/* k1-1 error should be nres-1*/	/* k1-1 error should be nres-1*/
Line 7264 void printinggnuplot(char fileresu[], ch	Line 8142 void printinggnuplot(char fileresu[], ch
}else{	}else{
kl=0;	kl=0;
for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */	for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */	/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to k1 combination and kth covariate \/ /
	lv=codtabm(k1,TnsdVar[Tvaraff[k]]);
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */	/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */	/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */	/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
Line 7292 void printinggnuplot(char fileresu[], ch	Line 8171 void printinggnuplot(char fileresu[], ch
}else{	}else{
kl=0;	kl=0;
for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */	for (k=1; k<=cptcoveff; k++){ /* For each combination of covariate */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */	/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to k1 combination and kth covariate \/ /
	lv=codtabm(k1,TnsdVar[Tvaraff[k]]);
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */	/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */	/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */	/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
vlv= nbcode[Tvaraff[k]][lv];	/* vlv= nbcode[Tvaraff[k]][lv]; */
	vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])];
kl++;	kl++;
/* kl=6+(cpt-1)(nlstate+1)+1+(i-1); /\ 6+(1-1)(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 \/ */	/* kl=6+(cpt-1)(nlstate+1)+1+(i-1); /\ 6+(1-1)(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 \/ */
/6+(cpt-1)(nlstate+1)+1+(i-1)+(nlstate+1)nlstate; 6+(1-1)(2+1)+1+(1-1) +(2+1)2=13 /	/6+(cpt-1)(nlstate+1)+1+(i-1)+(nlstate+1)nlstate; 6+(1-1)(2+1)+1+(1-1) +(2+1)2=13 /
Line 7306 void printinggnuplot(char fileresu[], ch	Line 8187 void printinggnuplot(char fileresu[], ch
fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' w l lt 3",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \	fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' w l lt 3",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \
2+cptcoveff2+(cpt-1), cpt ); / 4 or 6 ?*/	2+cptcoveff2+(cpt-1), cpt ); / 4 or 6 ?*/
}else{	}else{
fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]);	fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]);
kl++;	kl++;
}	}
} /* end covariate */	} /* end covariate */
Line 7334 void printinggnuplot(char fileresu[], ch	Line 8215 void printinggnuplot(char fileresu[], ch
/* fprintf(ficgp,"\nset out ;unset label;\n"); */	/* fprintf(ficgp,"\nset out ;unset label;\n"); */
fprintf(ficgp,"\nset out ;unset title;\n");	fprintf(ficgp,"\nset out ;unset title;\n");
} /* nres */	} /* nres */
} /* k1 */	/* } /\* k1 \/ /
} /* cpt */	} /* cpt */


/2 eme/	/2 eme/
for (k1=1; k1<= m ; k1 ++){	/* for (k1=1; k1<= m ; k1 ++){ */
for(nres=1; nres <= nresult; nres++){ /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
if(m != 1 && TKresult[nres]!= k1)	k1=TKresult[nres];
continue;	if(TKresult[nres]==0) k1=1; /* To be checked for noresult */
	/* if(m != 1 && TKresult[nres]!= k1) */
	/* continue; */
fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files ");	fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files ");
strcpy(gplotlabel,"(");	strcpy(gplotlabel,"(");
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */	for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */	fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */	sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */	/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value \/ /
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */	/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination \\/ \/ */
vlv= nbcode[Tvaraff[k]][lv];	/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 \/ /
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 \/ /
}	/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 \/ /
/* for(k=1; k <= ncovds; k++){ */	/* /\* vlv= nbcode[Tvaraff[k]][lv]; \/ /
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */	/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */
printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* } */
	/* /\* for(k=1; k <= ncovds; k++){ \/ /
	/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value \/ /
	/* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */
	/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */
}	}
strcpy(gplotlabel+strlen(gplotlabel),")");	strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");	fprintf(ficgp,"\n#\n");
Line 7400 void printinggnuplot(char fileresu[], ch	Line 8288 void printinggnuplot(char fileresu[], ch
} /* vpopbased */	} /* vpopbased */
fprintf(ficgp,"\nset out;set out \"%s_%d-%d.svg\"; replot; set out; unset label;\n",subdirf2(optionfilefiname,"E_"),k1,nres); /* Buggy gnuplot */	fprintf(ficgp,"\nset out;set out \"%s_%d-%d.svg\"; replot; set out; unset label;\n",subdirf2(optionfilefiname,"E_"),k1,nres); /* Buggy gnuplot */
} /* end nres */	} /* end nres */
} /* k1 end 2 eme*/	/* } /\* k1 end 2 eme\/ /


/3eme/	/3eme/
for (k1=1; k1<= m ; k1 ++){	/* for (k1=1; k1<= m ; k1 ++){ */
for(nres=1; nres <= nresult; nres++){ /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
if(m != 1 && TKresult[nres]!= k1)	k1=TKresult[nres];
continue;	if(TKresult[nres]==0) k1=1; /* To be checked for noresult */
	/* if(m != 1 && TKresult[nres]!= k1) */
	/* continue; */

for (cpt=1; cpt<= nlstate ; cpt ++) {	for (cpt=1; cpt<= nlstate ; cpt ++) { /* Fragile no verification of covariate values */
fprintf(ficgp,"\n\n# 3d: Life expectancy with EXP_ files: combination=%d state=%d",k1, cpt);	fprintf(ficgp,"\n\n# 3d: Life expectancy with EXP_ files: combination=%d state=%d",k1, cpt);
strcpy(gplotlabel,"(");	strcpy(gplotlabel,"(");
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */	for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */	fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */	sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */	/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value \/ /
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */	/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination \\/ \/ */
vlv= nbcode[Tvaraff[k]][lv];	/* lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /\* Should be the covariate value corresponding to combination k1 and covariate k \/ /
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 \/ /
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 \/ /
}	/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 \/ /
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */	/* /\* vlv= nbcode[Tvaraff[k]][lv]; \/ /
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */
}	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */
	/* } */
	/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value \/ /
	/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][resultmodel[nres][k4]]); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][resultmodel[nres][k4]]); */
	}
strcpy(gplotlabel+strlen(gplotlabel),")");	strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");	fprintf(ficgp,"\n#\n");
if(invalidvarcomb[k1]){	if(invalidvarcomb[k1]){
Line 7455 plot [%.f:%.f] \"%s\" every :::%d::%d u	Line 8350 plot [%.f:%.f] \"%s\" every :::%d::%d u
}	}
fprintf(ficgp,"\nunset label;\n");	fprintf(ficgp,"\nunset label;\n");
} /* end nres */	} /* end nres */
} /* end kl 3eme */	/* } /\* end kl 3eme \/ /

/* 4eme */	/* 4eme */
/* Survival functions (period) from state i in state j by initial state i */	/* Survival functions (period) from state i in state j by initial state i */
for (k1=1; k1<=m; k1++){ /* For each covariate and each value */	/* for (k1=1; k1<=m; k1++){ /\* For each covariate and each value \/ /
for(nres=1; nres <= nresult; nres++){ /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
if(m != 1 && TKresult[nres]!= k1)	k1=TKresult[nres];
continue;	if(TKresult[nres]==0) k1=1; /* To be checked for noresult */
	/* if(m != 1 && TKresult[nres]!= k1) */
	/* continue; */
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state cpt*/	for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state cpt*/
strcpy(gplotlabel,"(");	strcpy(gplotlabel,"(");
fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'LIJ_' files, cov=%d state=%d",k1, cpt);	fprintf(ficgp,"\n#\n#\n# Survival functions in state %d : 'LIJ_' files, cov=%d state=%d", cpt, k1, cpt);
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */	for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */	fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */	sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */	/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value \/ /
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */	/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */
vlv= nbcode[Tvaraff[k]][lv];	/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination \\/ \/ */
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 \/ /
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 \/ /
}	/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 \/ /
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */	/* /\* vlv= nbcode[Tvaraff[k]][lv]; \/ /
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */
	/* } */
	/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value \/ /
	/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */
}	}
strcpy(gplotlabel+strlen(gplotlabel),")");	strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");	fprintf(ficgp,"\n#\n");
Line 7506 set ter svg size 640, 480\nunset log y\n	Line 8408 set ter svg size 640, 480\nunset log y\n
fprintf(ficgp,"\nset out; unset label;\n");	fprintf(ficgp,"\nset out; unset label;\n");
} /* end cpt state*/	} /* end cpt state*/
} /* end nres */	} /* end nres */
} /* end covariate k1 */	/* } /\* end covariate k1 \/ /

/* 5eme */	/* 5eme */
/* Survival functions (period) from state i in state j by final state j */	/* Survival functions (period) from state i in state j by final state j */
for (k1=1; k1<= m ; k1++){ /* For each covariate combination if any */	/* for (k1=1; k1<= m ; k1++){ /\* For each covariate combination if any \/ /
for(nres=1; nres <= nresult; nres++){ /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
if(m != 1 && TKresult[nres]!= k1)	k1=TKresult[nres];
continue;	if(TKresult[nres]==0) k1=1; /* To be checked for noresult */
	/* if(m != 1 && TKresult[nres]!= k1) */
	/* continue; */
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */	for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */
strcpy(gplotlabel,"(");	strcpy(gplotlabel,"(");
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,"\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);
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */	for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */	fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */	sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */	/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value \/ /
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */	/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */
vlv= nbcode[Tvaraff[k]][lv];	/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination \\/ \/ */
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 \/ /
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 \/ /
}	/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 \/ /
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */	/* /\* vlv= nbcode[Tvaraff[k]][lv]; \/ /
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */
	/* } */
	/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value \/ /
	/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */
}	}
strcpy(gplotlabel+strlen(gplotlabel),")");	strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");	fprintf(ficgp,"\n#\n");
Line 7564 set ter svg size 640, 480\nunset log y\n	Line 8473 set ter svg size 640, 480\nunset log y\n
}	}
fprintf(ficgp,"\nset out; unset label;\n");	fprintf(ficgp,"\nset out; unset label;\n");
} /* end cpt state*/	} /* end cpt state*/
} /* end covariate */	/* } /\* end covariate \/ /
} /* end nres */	} /* end nres */

/* 6eme */	/* 6eme */
/* CV preval stable (period) for each covariate */	/* CV preval stable (period) for each covariate */
for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */	/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any \/ /
for(nres=1; nres <= nresult; nres++){ /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
if(m != 1 && TKresult[nres]!= k1)	k1=TKresult[nres];
continue;	if(TKresult[nres]==0) k1=1; /* To be checked for noresult */
	/* if(m != 1 && TKresult[nres]!= k1) */
	/* continue; */
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state of arrival */	for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state of arrival */
strcpy(gplotlabel,"(");	strcpy(gplotlabel,"(");
fprintf(ficgp,"\n#\n#\n#CV preval stable (forward): 'pij' files, covariatecombination#=%d state=%d",k1, cpt);	fprintf(ficgp,"\n#\n#\n#CV preval stable (forward): 'pij' files, covariatecombination#=%d state=%d",k1, cpt);
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */	for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */	fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */	sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */	/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value \/ /
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */	/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination \\/ \/ */
vlv= nbcode[Tvaraff[k]][lv];	/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 \/ /
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 \/ /
}	/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 \/ /
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */	/* /\* vlv= nbcode[Tvaraff[k]][lv]; \/ /
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */
	/* } */
	/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value \/ /
	/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */
}	}
strcpy(gplotlabel+strlen(gplotlabel),")");	strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");	fprintf(ficgp,"\n#\n");
Line 7620 set ter svg size 640, 480\nunset log y\n	Line 8536 set ter svg size 640, 480\nunset log y\n
/* 7eme */	/* 7eme */
if(prevbcast == 1){	if(prevbcast == 1){
/* CV backward prevalence for each covariate */	/* CV backward prevalence for each covariate */
for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */	/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any \/ /
for(nres=1; nres <= nresult; nres++){ /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
if(m != 1 && TKresult[nres]!= k1)	k1=TKresult[nres];
continue;	if(TKresult[nres]==0) k1=1; /* To be checked for noresult */
	/* if(m != 1 && TKresult[nres]!= k1) */
	/* continue; */
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life origin state */	for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life origin state */
strcpy(gplotlabel,"(");	strcpy(gplotlabel,"(");
fprintf(ficgp,"\n#\n#\n#CV Backward stable prevalence: 'pijb' files, covariatecombination#=%d state=%d",k1, cpt);	fprintf(ficgp,"\n#\n#\n#CV Backward stable prevalence: 'pijb' files, covariatecombination#=%d state=%d",k1, cpt);
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */	for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */	fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */	sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */	/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate and each value \/ /
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */	/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate number corresponding to k1 combination \\/ \/ */
vlv= nbcode[Tvaraff[k]][lv];	/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 \/ /
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 \/ /
}	/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 \/ /
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */	/* /\* vlv= nbcode[Tvaraff[k]][lv]; \/ /
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */
	/* } */
	/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value \/ /
	/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */
}	}
strcpy(gplotlabel+strlen(gplotlabel),")");	strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");	fprintf(ficgp,"\n#\n");
Line 7659 set ter svg size 640, 480\nunset log y\n	Line 8582 set ter svg size 640, 480\nunset log y\n
fprintf(ficgp,", '' ");	fprintf(ficgp,", '' ");
/* l=(nlstate+ndeath)(i-1)+1; /	/* l=(nlstate+ndeath)(i-1)+1; /
l=(nlstate+ndeath)(cpt-1)+1; / fixed for i; cpt=1 1, cpt=2 1+ nlstate+ndeath, 1+2(nlstate+ndeath) /	l=(nlstate+ndeath)(cpt-1)+1; / fixed for i; cpt=1 1, cpt=2 1+ nlstate+ndeath, 1+2(nlstate+ndeath) /
/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier \/ /	/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier \/ /
/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier \/ /	/* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier \/ /
fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+i-1); /* To be verified */	fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+i-1); /* To be verified */
/* for (j=2; j<= nlstate ; j ++) */	/* for (j=2; j<= nlstate ; j ++) */
/* fprintf(ficgp,"+$%d",k+l+j-1); */	/* fprintf(ficgp,"+$%d",k+l+j-1); */
Line 7676 set ter svg size 640, 480\nunset log y\n	Line 8599 set ter svg size 640, 480\nunset log y\n
if(prevfcast==1){	if(prevfcast==1){
/* Projection from cross-sectional to forward stable (period) prevalence for each covariate */	/* Projection from cross-sectional to forward stable (period) prevalence for each covariate */

for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */	/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any \/ /
for(nres=1; nres <= nresult; nres++){ /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
if(m != 1 && TKresult[nres]!= k1)	k1=TKresult[nres];
continue;	if(TKresult[nres]==0) k1=1; /* To be checked for noresult */
	/* if(m != 1 && TKresult[nres]!= k1) */
	/* continue; */
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */	for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
strcpy(gplotlabel,"(");	strcpy(gplotlabel,"(");
fprintf(ficgp,"\n#\n#\n#Projection of prevalence to forward stable prevalence (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt);	fprintf(ficgp,"\n#\n#\n#Projection of prevalence to forward stable prevalence (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt);
for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */	for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */	fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */	sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */	/* for (k=1; k<=cptcoveff; k++){ /\* For each correspondig covariate value \/ /
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */	/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate value corresponding to k1 combination and kth covariate \\/ \/ */
vlv= nbcode[Tvaraff[k]][lv];	/* lv=codtabm(k1,TnsdVar[Tvaraff[k]]); */
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 \/ /
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 \/ /
}	/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 \/ /
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */	/* /\* vlv= nbcode[Tvaraff[k]][lv]; \/ /
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */
	/* } */
	/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value \/ /
	/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */
}	}
strcpy(gplotlabel+strlen(gplotlabel),")");	strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");	fprintf(ficgp,"\n#\n");
Line 7750 set ter svg size 640, 480\nunset log y\n	Line 8680 set ter svg size 640, 480\nunset log y\n
kl=0;	kl=0;
strcpy(gplotcondition,"(");	strcpy(gplotcondition,"(");
for (k=1; k<=cptcoveff; k++){ /* For each covariate writing the chain of conditions */	for (k=1; k<=cptcoveff; k++){ /* For each covariate writing the chain of conditions */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to combination k1 and covariate k */	/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to combination k1 and covariate k \/ /
	lv=codtabm(k1,TnsdVar[Tvaraff[k]]);
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */	/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */	/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */	/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
vlv= nbcode[Tvaraff[k]][lv]; /* Value of the modality of Tvaraff[k] */	/* vlv= nbcode[Tvaraff[k]][lv]; /\* Value of the modality of Tvaraff[k] \/ /
	vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])];
kl++;	kl++;
sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]);	sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]);
kl++;	kl++;
Line 7789 set ter svg size 640, 480\nunset log y\n	Line 8721 set ter svg size 640, 480\nunset log y\n
if(prevbcast==1){	if(prevbcast==1){
/* Back projection from cross-sectional to stable (mixed) for each covariate */	/* Back projection from cross-sectional to stable (mixed) for each covariate */

for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */	/* for (k1=1; k1<= m ; k1 ++) /\* For each covariate combination if any \/ /
for(nres=1; nres <= nresult; nres++){ /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
if(m != 1 && TKresult[nres]!= k1)	k1=TKresult[nres];
continue;	if(TKresult[nres]==0) k1=1; /* To be checked for noresult */
	/* if(m != 1 && TKresult[nres]!= k1) */
	/* continue; */
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */	for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
strcpy(gplotlabel,"(");	strcpy(gplotlabel,"(");
fprintf(ficgp,"\n#\n#\n#Back projection of prevalence to stable (mixed) back prevalence: 'BPROJ_' files, covariatecombination#=%d originstate=%d",k1, cpt);	fprintf(ficgp,"\n#\n#\n#Back projection of prevalence to stable (mixed) back prevalence: 'BPROJ_' files, covariatecombination#=%d originstate=%d",k1, cpt);
for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */	for (k=1; k<=cptcovs; k++){ /* For each covariate k get corresponding value lv for combination k1 */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */	fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */	sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */	/* for (k=1; k<=cptcoveff; k++){ /\* For each correspondig covariate value \/ /
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */	/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate value corresponding to k1 combination and kth covariate \\/ \/ */
vlv= nbcode[Tvaraff[k]][lv];	/* lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /\* Should be the covariate value corresponding to combination k1 and covariate k \/ /
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 \/ /
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);	/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 \/ /
}	/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 \/ /
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */	/* /\* vlv= nbcode[Tvaraff[k]][lv]; \/ /
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */
	/* } */
	/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value \/ /
	/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */
}	}
strcpy(gplotlabel+strlen(gplotlabel),")");	strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");	fprintf(ficgp,"\n#\n");
Line 7862 set ter svg size 640, 480\nunset log y\n	Line 8801 set ter svg size 640, 480\nunset log y\n
fprintf(ficgp," u %d:(",ioffset);	fprintf(ficgp," u %d:(",ioffset);
kl=0;	kl=0;
strcpy(gplotcondition,"(");	strcpy(gplotcondition,"(");
for (k=1; k<=cptcoveff; k++){ /* For each covariate writing the chain of conditions */	for (k=1; k<=cptcovs; k++){ /* For each covariate k of the resultline, get corresponding value lv for combination k1 */
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to combination k1 and covariate k */	if(Dummy[modelresult[nres][k]]==0){ /* To be verified */
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */	/* for (k=1; k<=cptcoveff; k++){ /\* For each covariate writing the chain of conditions \/ /
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */	/* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate value corresponding to combination k1 and covariate k \/ /
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */	/* lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /\* Should be the covariate value corresponding to combination k1 and covariate k \/ /
vlv= nbcode[Tvaraff[k]][lv]; /* Value of the modality of Tvaraff[k] */	lv=Tvresult[nres][k];
kl++;	vlv=TinvDoQresult[nres][Tvresult[nres][k]];
sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]);	/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */
kl++;	/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */
if(k <cptcoveff && cptcoveff>1)	/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */
sprintf(gplotcondition+strlen(gplotcondition)," && ");	/* vlv= nbcode[Tvaraff[k]][lv]; /\* Value of the modality of Tvaraff[k] \/ /
	/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */
	kl++;
	/* sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]); */
	sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%lg " ,kl,Tvresult[nres][k], kl+1,TinvDoQresult[nres][Tvresult[nres][k]]);
	kl++;
	if(k <cptcovs && cptcovs>1)
	sprintf(gplotcondition+strlen(gplotcondition)," && ");
	}
}	}
strcpy(gplotcondition+strlen(gplotcondition),")");	strcpy(gplotcondition+strlen(gplotcondition),")");
/* kl=6+(cpt-1)(nlstate+1)+1+(i-1); /\ 6+(1-1)(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 \/ */	/* kl=6+(cpt-1)(nlstate+1)+1+(i-1); /\ 6+(1-1)(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 \/ */
Line 7937 set ter svg size 640, 480\nunset log y\n	Line 8884 set ter svg size 640, 480\nunset log y\n
fprintf(ficgp,"#\n");	fprintf(ficgp,"#\n");
for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/	for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/
fprintf(ficgp,"#Number of graphics: first is logit, 2nd is probabilities, third is incidences per year\n");	fprintf(ficgp,"#Number of graphics: first is logit, 2nd is probabilities, third is incidences per year\n");
fprintf(ficgp,"#model=%s \n",model);	fprintf(ficgp,"#model=1+age+%s \n",model);
fprintf(ficgp,"# Type of graphic ng=%d\n",ng);	fprintf(ficgp,"# Type of graphic ng=%d\n",ng);
fprintf(ficgp,"# k1=1 to 2^%d=%d\n",cptcoveff,m);/* to be checked */	fprintf(ficgp,"# k1=1 to 2^%d=%d\n",cptcoveff,m);/* to be checked */
for(k1=1; k1 <=m; k1++) /* For each combination of covariate */	/* for(k1=1; k1 <=m; k1++) /\* For each combination of covariate \/ /
for(nres=1; nres <= nresult; nres++){ /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
if(m != 1 && TKresult[nres]!= k1)	/* k1=nres; */
continue;	k1=TKresult[nres];
fprintf(ficgp,"\n\n# Combination of dummy k1=%d which is ",k1);	if(TKresult[nres]==0) k1=1; /* To be checked for noresult */
	fprintf(ficgp,"\n\n# Resultline k1=%d ",k1);
strcpy(gplotlabel,"(");	strcpy(gplotlabel,"(");
/sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);/	/sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);/
for (k=1; k<=cptcoveff; k++){ /* For each correspondig covariate value */	for (k=1; k<=cptcovs; k++){ /*< cptcovs number of SIMPLE covariates in the model V2+V1 =2 (dummy or quantit or time varying) /
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */	/* for each resultline nres, and position k, Tvresult[nres][k] gives the name of the variable and
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */	TinvDoQresult[nres][Tvresult[nres][k]] gives its value double or integer) */
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */	fprintf(ficgp," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */	sprintf(gplotlabel+strlen(gplotlabel)," V%d=%lg ",Tvresult[nres][k],TinvDoQresult[nres][Tvresult[nres][k]]);
vlv= nbcode[Tvaraff[k]][lv];	}
fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);	/* if(m != 1 && TKresult[nres]!= k1) */
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);	/* continue; */
}	/* fprintf(ficgp,"\n\n# Combination of dummy k1=%d which is ",k1); */
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */	/* strcpy(gplotlabel,"("); */
fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* /\sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);\/ */
sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* for (k=1; k<=cptcoveff; k++){ /\* For each correspondig covariate value \/ /
}	/* /\* lv= decodtabm(k1,k,cptcoveff); /\\* Should be the covariate value corresponding to k1 combination and kth covariate \\/ \/ */
	/* lv= codtabm(k1,TnsdVar[Tvaraff[k]]); /\* Should be the covariate value corresponding to combination k1 and covariate k \/ /
	/* /\* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 \/ /
	/* /\* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 \/ /
	/* /\* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 \/ /
	/* /\* vlv= nbcode[Tvaraff[k]][lv]; \/ /
	/* vlv= nbcode[Tvaraff[k]][codtabm(k1,TnsdVar[Tvaraff[k]])]; */
	/* fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv); */
	/* } */
	/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value \/ /
	/* fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */
	/* sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]); */
	/* } */
strcpy(gplotlabel+strlen(gplotlabel),")");	strcpy(gplotlabel+strlen(gplotlabel),")");
fprintf(ficgp,"\n#\n");	fprintf(ficgp,"\n#\n");
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),k1,ng,nres);	fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),k1,ng,nres);
Line 8009 set ter svg size 640, 480\nunset log y\n	Line 8970 set ter svg size 640, 480\nunset log y\n
/* for(j=3; j <=ncovmodel-nagesqr; j++) { */	/* for(j=3; j <=ncovmodel-nagesqr; j++) { */
for(j=1; j <=cptcovt; j++) { /* For each covariate of the simplified model */	for(j=1; j <=cptcovt; j++) { /* For each covariate of the simplified model */
/* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */	/* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */
if(cptcovage >0){ /* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1, 2 V5 and V1 */	switch(Typevar[j]){
if(j==Tage[ij]) { /* Product by age To be looked at!!*/	case 1:
if(ij <=cptcovage) { /* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1, 2 V5 and V1 */	if(cptcovage >0){ /* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1, 2 V5 and V1 */
if(DummyV[j]==0){	if(j==Tage[ij]) { /* Product by age To be looked at!!// Bug valgrind */
fprintf(ficgp,"+p%d%dx",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);;	if(ij <=cptcovage) { /* V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1, 2 V5 and V1 */
}else{ /* quantitative */	if(DummyV[j]==0){/* Bug valgrind */
fprintf(ficgp,"+p%d%fx",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* Tqinvresult in decoderesult */	fprintf(ficgp,"+p%d%dx",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);;
/* fprintf(ficgp,"+p%d%dx",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */	}else{ /* quantitative */
	fprintf(ficgp,"+p%d%fx",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* Tqinvresult in decoderesult */
	/* fprintf(ficgp,"+p%d%dx",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */
	}
	ij++;
}	}
ij++;
}	}
}	}
}else if(cptcovprod >0){	break;
if(j==Tprod[ijp]) { /* */	case 2:
/* printf("Tprod[%d]=%d, j=%d\n", ij, Tprod[ijp], j); */	if(cptcovprod >0){
if(ijp <=cptcovprod) { /* Product */	if(j==Tprod[ijp]) { /* */
if(DummyV[Tvard[ijp][1]]==0){/* Vn is dummy */	/* printf("Tprod[%d]=%d, j=%d\n", ij, Tprod[ijp], j); */
if(DummyV[Tvard[ijp][2]]==0){/* Vn and Vm are dummy */	if(ijp <=cptcovprod) { /* Product */
/* fprintf(ficgp,"+p%d%d%d",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],nbcode[Tvard[ijp][2]][codtabm(k1,j)]); */	if(DummyV[Tvard[ijp][1]]==0){/* Vn is dummy */
fprintf(ficgp,"+p%d%d%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[ijp][2]]);	if(DummyV[Tvard[ijp][2]]==0){/* Vn and Vm are dummy */
}else{ /* Vn is dummy and Vm is quanti */	/* fprintf(ficgp,"+p%d%d%d",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],nbcode[Tvard[ijp][2]][codtabm(k1,j)]); */
/* fprintf(ficgp,"+p%d%d%f",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],Tqinvresult[nres][Tvard[ijp][2]]); */	fprintf(ficgp,"+p%d%d%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[ijp][2]]);
fprintf(ficgp,"+p%d%d%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]);	}else{ /* Vn is dummy and Vm is quanti */
}	/* fprintf(ficgp,"+p%d%d%f",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],Tqinvresult[nres][Tvard[ijp][2]]); */
}else{ /* VnVm Vn is quanti /	fprintf(ficgp,"+p%d%d%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]);
if(DummyV[Tvard[ijp][2]]==0){	}
fprintf(ficgp,"+p%d%d%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][2]],Tqinvresult[nres][Tvard[ijp][1]]);	}else{ /* VnVm Vn is quanti /
}else{ /* Both quanti */	if(DummyV[Tvard[ijp][2]]==0){
fprintf(ficgp,"+p%d%f%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]);	fprintf(ficgp,"+p%d%d%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][2]],Tqinvresult[nres][Tvard[ijp][1]]);
	}else{ /* Both quanti */
	fprintf(ficgp,"+p%d%f%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]);
	}
}	}
	ijp++;
}	}
ijp++;	} /* end Tprod */
}	}
} /* end Tprod */	break;
} else{ /* simple covariate */	case 0:
	/* simple covariate */
/* fprintf(ficgp,"+p%d%d",i+j+2+nagesqr-1,nbcode[Tvar[j]][codtabm(k1,j)]); /\ Valgrind bug nbcode \/ /	/* fprintf(ficgp,"+p%d%d",i+j+2+nagesqr-1,nbcode[Tvar[j]][codtabm(k1,j)]); /\ Valgrind bug nbcode \/ /
if(Dummy[j]==0){	if(Dummy[j]==0){
fprintf(ficgp,"+p%d%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]); / */	fprintf(ficgp,"+p%d%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]); / */
Line 8051 set ter svg size 640, 480\nunset log y\n	Line 9020 set ter svg size 640, 480\nunset log y\n
fprintf(ficgp,"+p%d%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); / */	fprintf(ficgp,"+p%d%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); / */
/* fprintf(ficgp,"+p%d%dx",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */	/* fprintf(ficgp,"+p%d%dx",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */
}	}
} /* end simple */	/* end simple */
	break;
	default:
	break;
	} /* end switch */
} /* end j */	} /* end j */
}else{	}else{ /* k=k2 */
i=i-ncovmodel;	if(ng !=1 ){ /* For logit formula of log p11 is more difficult to get */
if(ng !=1 ) /* For logit formula of log p11 is more difficult to get */	fprintf(ficgp," (1.");i=i-ncovmodel;
fprintf(ficgp," (1.");	}else
	i=i-ncovmodel;
}	}

if(ng != 1){	if(ng != 1){
Line 8069 set ter svg size 640, 480\nunset log y\n	Line 9043 set ter svg size 640, 480\nunset log y\n
fprintf(ficgp,"+exp(p%d+p%dx+p%dxx",k3+(cpt-1)ncovmodel,k3+(cpt-1)ncovmodel+1,k3+(cpt-1)ncovmodel+1+nagesqr);	fprintf(ficgp,"+exp(p%d+p%dx+p%dxx",k3+(cpt-1)ncovmodel,k3+(cpt-1)ncovmodel+1,k3+(cpt-1)ncovmodel+1+nagesqr);

ij=1;	ij=1;
for(j=3; j <=ncovmodel-nagesqr; j++){	ijp=1;
if(cptcovage >0){	/* for(j=3; j <=ncovmodel-nagesqr; j++){ */
if((j-2)==Tage[ij]) { /* Bug valgrind */	for(j=1; j <=cptcovt; j++) { /* For each covariate of the simplified model */
if(ij <=cptcovage) { /* Bug valgrind */	switch(Typevar[j]){
fprintf(ficgp,"+p%d%dx",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);	case 1:
/* fprintf(ficgp,"+p%d%dx",k3+(cpt-1)ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); /	if(cptcovage >0){
ij++;	if(j==Tage[ij]) { /* Bug valgrind */
}	if(ij <=cptcovage) { /* Bug valgrind */
}	if(DummyV[j]==0){/* Bug valgrind */
}else	/* fprintf(ficgp,"+p%d%dx",k3+(cpt-1)ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]); /
fprintf(ficgp,"+p%d%d",k3+(cpt-1)ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);/* Valgrind bug nbcode */	/* fprintf(ficgp,"+p%d%dx",k3+(cpt-1)ncovmodel+1+j+nagesqr,nbcode[Tvar[j]][codtabm(k1,j)]); /
	fprintf(ficgp,"+p%d%dx",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvar[j]]);
	/* fprintf(ficgp,"+p%d%dx",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);; */
	/* fprintf(ficgp,"+p%d%dx",k3+(cpt-1)ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); /
	}else{ /* quantitative */
	/* fprintf(ficgp,"+p%d%fx",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /\* Tqinvresult in decoderesult \/ /
	fprintf(ficgp,"+p%d%fx",k3+(cpt-1)ncovmodel+1+j+nagesqr,Tqinvresult[nres][Tvar[j]]); / Tqinvresult in decoderesult */
	/* fprintf(ficgp,"+p%d%fx",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /\* Tqinvresult in decoderesult \/ /
	/* fprintf(ficgp,"+p%d%dx",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */
	}
	ij++;
	}
	}
	}
	break;
	case 2:
	if(cptcovprod >0){
	if(j==Tprod[ijp]) { /* */
	/* printf("Tprod[%d]=%d, j=%d\n", ij, Tprod[ijp], j); */
	if(ijp <=cptcovprod) { /* Product */
	if(DummyV[Tvard[ijp][1]]==0){/* Vn is dummy */
	if(DummyV[Tvard[ijp][2]]==0){/* Vn and Vm are dummy */
	/* fprintf(ficgp,"+p%d%d%d",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],nbcode[Tvard[ijp][2]][codtabm(k1,j)]); */
	fprintf(ficgp,"+p%d%d%d",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[ijp][2]]);
	/* fprintf(ficgp,"+p%d%d%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tinvresult[nres][Tvard[ijp][2]]); */
	}else{ /* Vn is dummy and Vm is quanti */
	/* fprintf(ficgp,"+p%d%d%f",i+j+2+nagesqr-1,nbcode[Tvard[ijp][1]][codtabm(k1,j)],Tqinvresult[nres][Tvard[ijp][2]]); */
	fprintf(ficgp,"+p%d%d%f",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]);
	/* fprintf(ficgp,"+p%d%d%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); */
	}
	}else{ /* VnVm Vn is quanti /
	if(DummyV[Tvard[ijp][2]]==0){
	fprintf(ficgp,"+p%d%d%f",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvard[ijp][2]],Tqinvresult[nres][Tvard[ijp][1]]);
	/* fprintf(ficgp,"+p%d%d%f",i+j+2+nagesqr-1,Tinvresult[nres][Tvard[ijp][2]],Tqinvresult[nres][Tvard[ijp][1]]); */
	}else{ /* Both quanti */
	fprintf(ficgp,"+p%d%f%f",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tqinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]);
	/* fprintf(ficgp,"+p%d%f%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvard[ijp][1]],Tqinvresult[nres][Tvard[ijp][2]]); */
	}
	}
	ijp++;
	}
	} /* end Tprod */
	} /* end if */
	break;
	case 0:
	/* simple covariate */
	/* fprintf(ficgp,"+p%d%d",i+j+2+nagesqr-1,nbcode[Tvar[j]][codtabm(k1,j)]); /\ Valgrind bug nbcode \/ /
	if(Dummy[j]==0){
	/* fprintf(ficgp,"+p%d%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]); /\ \/ /
	fprintf(ficgp,"+p%d%d",k3+(cpt-1)ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvar[j]]); /* */
	/* fprintf(ficgp,"+p%d%d",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]); /\ \/ /
	}else{ /* quantitative */
	fprintf(ficgp,"+p%d%f",k3+(cpt-1)ncovmodel+1+j+nagesqr,Tqinvresult[nres][Tvar[j]]); /* */
	/* fprintf(ficgp,"+p%d%f",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /\ \/ /
	/* fprintf(ficgp,"+p%d%dx",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */
	}
	/* end simple */
	/* fprintf(ficgp,"+p%d%d",k3+(cpt-1)ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);/\* Valgrind bug nbcode \/ /
	break;
	default:
	break;
	} /* end switch */
}	}
fprintf(ficgp,")");	fprintf(ficgp,")");
}	}
Line 8088 set ter svg size 640, 480\nunset log y\n	Line 9123 set ter svg size 640, 480\nunset log y\n
fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"p%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k);	fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"p%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k);
else /* ng= 3 */	else /* ng= 3 */
fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"i%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k);	fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"i%d%d\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k);
}else{ /* end ng <> 1 */	}else{ /* end ng <> 1 */
if( k !=k2) /* logit p11 is hard to draw */	if( k !=k2) /* logit p11 is hard to draw */
fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"logit(p%d%d)\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k);	fprintf(ficgp," w l lw 2 lt (%d*%d+%d)%%%d+1 dt %d t \"logit(p%d%d)\" ", nlstate+ndeath, k2, k, nlstate+ndeath, k2, k2,k);
}	}
Line 8101 set ter svg size 640, 480\nunset log y\n	Line 9136 set ter svg size 640, 480\nunset log y\n
} /* end k2 */	} /* end k2 */
/* fprintf(ficgp,"\n set out; unset label;set key default;\n"); */	/* fprintf(ficgp,"\n set out; unset label;set key default;\n"); */
fprintf(ficgp,"\n set out; unset title;set key default;\n");	fprintf(ficgp,"\n set out; unset title;set key default;\n");
} /* end k1 */	} /* end resultline */
} /* end ng */	} /* end ng */
/* avoid: */	/* avoid: */
fflush(ficgp);	fflush(ficgp);
Line 8424 void prevforecast(char fileres[], double	Line 9459 void prevforecast(char fileres[], double

/* if (h==(int)(YEARMyearp)){ /	/* if (h==(int)(YEARMyearp)){ /
for(nres=1; nres <= nresult; nres++) /* For each resultline */	for(nres=1; nres <= nresult; nres++) /* For each resultline */
for(k=1; k<=i1;k++){	for(k=1; k<=i1;k++){ /* We want to find the combination k corresponding to the values of the dummies given in this resut line (to be cleaned one day) */
if(i1 != 1 && TKresult[nres]!= k)	if(i1 != 1 && TKresult[nres]!= k)
continue;	continue;
if(invalidvarcomb[k]){	if(invalidvarcomb[k]){
Line 8433 void prevforecast(char fileres[], double	Line 9468 void prevforecast(char fileres[], double
}	}
fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#");	fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcoveff;j++) {
fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	/* fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,Tvaraff[j])]); */
	fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]);
}	}
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */	for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
Line 8463 void prevforecast(char fileres[], double	Line 9499 void prevforecast(char fileres[], double
}	}
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]][codtabm(k,j)]);	/* fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,Tvaraff[j])]); /\* Tvaraff not correct \/ /
	fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); /* TnsdVar[Tvaraff] correct */
fprintf(ficresf,"%.f %.f ",anprojd+yearp,agec+hhstepm/YEARMstepm);	fprintf(ficresf,"%.f %.f ",anprojd+yearp,agec+hhstepm/YEARMstepm);

for(j=1; j<=nlstate+ndeath;j++) {	for(j=1; j<=nlstate+ndeath;j++) {
Line 8502 void prevforecast(char fileres[], double	Line 9539 void prevforecast(char fileres[], double
*/	*/
int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1, k4, nres=0;	int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1, k4, nres=0;
double agec; /* generic age */	double agec; /* generic age */
double agelim, ppij, ppi, yp,yp1,yp2,jintmean,mintmean,aintmean;	double agelim, ppij, ppi, yp,yp1,yp2; /* ,jintmean,mintmean,aintmean;*/
double popeffectif,popcount;	double popeffectif,popcount;
double ***p3mat;	double ***p3mat;
/* double **mobaverage; /	/* double **mobaverage; /
Line 8573 void prevforecast(char fileres[], double	Line 9610 void prevforecast(char fileres[], double
}	}
fprintf(ficresfb,"\n#****** hbijx=probability over h years, hb.jx is weighted by observed prev \n#");	fprintf(ficresfb,"\n#****** hbijx=probability over h years, hb.jx is weighted by observed prev \n#");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcoveff;j++) {
fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]);
}	}
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */	for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
Line 8609 void prevforecast(char fileres[], double	Line 9646 void prevforecast(char fileres[], double
}	}
fprintf(ficresfb,"\n");	fprintf(ficresfb,"\n");
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficresfb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	fprintf(ficresfb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]);
fprintf(ficresfb,"%.f %.f ",anbackd+yearp,agec-hhstepm/YEARMstepm);	fprintf(ficresfb,"%.f %.f ",anbackd+yearp,agec-hhstepm/YEARMstepm);
for(i=1; i<=nlstate+ndeath;i++) {	for(i=1; i<=nlstate+ndeath;i++) {
ppij=0.;ppi=0.;	ppij=0.;ppi=0.;
Line 8668 void prevforecast(char fileres[], double	Line 9705 void prevforecast(char fileres[], double
i1=pow(2,cptcoveff);	i1=pow(2,cptcoveff);
if (cptcovn < 1){i1=1;}	if (cptcovn < 1){i1=1;}

for(nres=1; nres <= nresult; nres++) /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
for(k=1; k<=i1;k++){	k=TKresult[nres];
	if(TKresult[nres]==0) k=1; /* To be checked for noresult */
	/* for(k=1; k<=i1;k++){ /\* We find the combination equivalent to result line values of dummies \/ /
if(i1 != 1 && TKresult[nres]!= k)	if(i1 != 1 && TKresult[nres]!= k)
continue;	continue;
fprintf(ficresvpl,"\n#****** ");	fprintf(ficresvpl,"\n#****** ");
printf("\n#****** ");	printf("\n#****** ");
fprintf(ficlog,"\n#****** ");	fprintf(ficlog,"\n#****** ");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcovs;j++) {
fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	fprintf(ficresvpl,"V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	fprintf(ficlog,"V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	printf("V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
}	/* fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */	/* printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	}
fprintf(ficresvpl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value \/ /
fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	/* printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */
}	/* fprintf(ficresvpl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */
	/* fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */
	/* } */
fprintf(ficresvpl,"******\n");	fprintf(ficresvpl,"******\n");
printf("******\n");	printf("******\n");
fprintf(ficlog,"******\n");	fprintf(ficlog,"******\n");
Line 8725 void prevforecast(char fileres[], double	Line 9766 void prevforecast(char fileres[], double
i1=pow(2,cptcoveff);	i1=pow(2,cptcoveff);
if (cptcovn < 1){i1=1;}	if (cptcovn < 1){i1=1;}

for(nres=1; nres <= nresult; nres++) /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
for(k=1; k<=i1;k++){	k=TKresult[nres];
if(i1 != 1 && TKresult[nres]!= k)	if(TKresult[nres]==0) k=1; /* To be checked for noresult */
continue;	/* for(k=1; k<=i1;k++){ */
	/* if(i1 != 1 && TKresult[nres]!= k) */
	/* continue; */
fprintf(ficresvbl,"\n#****** ");	fprintf(ficresvbl,"\n#****** ");
printf("\n#****** ");	printf("\n#****** ");
fprintf(ficlog,"\n#****** ");	fprintf(ficlog,"\n#****** ");
for(j=1;j<=cptcoveff;j++) {	for (j=1; j<= cptcovs; j++){ /* For each selected (single) quantitative value */
fprintf(ficresvbl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	printf(" V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][resultmodel[nres][j]]);
fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	fprintf(ficresvbl," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][resultmodel[nres][j]]);
printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	fprintf(ficlog," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][resultmodel[nres][j]]);
}	/* for(j=1;j<=cptcoveff;j++) { */
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */	/* fprintf(ficresvbl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	/* fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
fprintf(ficresvbl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	/* printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	/* } */
	/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value \/ /
	/* printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */
	/* fprintf(ficresvbl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */
	/* fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */
}	}
fprintf(ficresvbl,"******\n");	fprintf(ficresvbl,"******\n");
printf("******\n");	printf("******\n");
Line 9058 void prwizard(int ncovmodel, int nlstate	Line 10105 void prwizard(int ncovmodel, int nlstate
/***************** Gompertz Likelihood ****************************/	/***************** Gompertz Likelihood ****************************/
double gompertz(double x[])	double gompertz(double x[])
{	{
double A,B,L=0.0,sump=0.,num=0.;	double A=0.0,B=0.,L=0.0,sump=0.,num=0.;
int i,n=0; /* n is the size of the sample */	int i,n=0; /* n is the size of the sample */

for (i=1;i<=imx ; i++) {	for (i=1;i<=imx ; i++) {
Line 9066 double gompertz(double x[])	Line 10113 double gompertz(double x[])
/* sump=sump+1;*/	/* sump=sump+1;*/
num=num+1;	num=num+1;
}	}
	L=0.0;
	/* agegomp=AGEGOMP; */
/* for (i=0; i<=imx; i++)	/* for (i=0; i<=imx; i++)
if (wav[i]>0) printf("i=%d ageex=%lf agecens=%lf agedc=%lf cens=%d %d\n" ,i,ageexmed[i],agecens[i],agedc[i],cens[i],wav[i]);*/	if (wav[i]>0) printf("i=%d ageex=%lf agecens=%lf agedc=%lf cens=%d %d\n" ,i,ageexmed[i],agecens[i],agedc[i],cens[i],wav[i]);*/

for (i=1;i<=imx ; i++)	for (i=1;i<=imx ; i++) {
{	/* mu(a)=mu(agecomp)exp(teta(age-agegomp))
if (cens[i] == 1 && wav[i]>1)	mu(a)=x[1]exp(x[2](age-agegomp)); x[1] and x[2] are per year.
A=-x[1]/(x[2])(exp(x[2](agecens[i]-agegomp))-exp(x[2]*(ageexmed[i]-agegomp)));	* L= Product mu(agedeces)exp(-\int_ageexam^agedc mu(u) du ) for a death between agedc (in month)
	* and agedc +1 month, cens[i]=0: log(x[1]/YEARM)
if (cens[i] == 0 && wav[i]>1)	* +
	* exp(-\int_ageexam^agecens mu(u) du ) when censored, cens[i]=1
	*/
	if (wav[i] > 1 \|\| agedc[i] < AGESUP) {
	if (cens[i] == 1){
	A=-x[1]/(x[2])(exp(x[2](agecens[i]-agegomp))-exp(x[2]*(ageexmed[i]-agegomp)));
	} else if (cens[i] == 0){
A=-x[1]/(x[2])(exp(x[2](agedc[i]-agegomp))-exp(x[2]*(ageexmed[i]-agegomp)))	A=-x[1]/(x[2])(exp(x[2](agedc[i]-agegomp))-exp(x[2]*(ageexmed[i]-agegomp)))
+log(x[1]/YEARM)+x[2]*(agedc[i]-agegomp)+log(YEARM);	+log(x[1]/YEARM) +x[2]*(agedc[i]-agegomp)+log(YEARM);
	} else
	printf("Gompertz cens[%d] neither 1 nor 0\n",i);
/if (wav[i] > 1 && agecens[i] > 15) {/ /* ??? */	/if (wav[i] > 1 && agecens[i] > 15) {/ /* ??? */
if (wav[i] > 1 ) { /* ??? */	L=L+A*weight[i];
L=L+A*weight[i];
/* printf("\ni=%d A=%f L=%lf x[1]=%lf x[2]=%lf ageex=%lf agecens=%lf cens=%d agedc=%lf weight=%lf\n",i,A,L,x[1],x[2],ageexmed[i]12,agecens[i]12,cens[i],agedc[i]12,weight[i]);/	/* printf("\ni=%d A=%f L=%lf x[1]=%lf x[2]=%lf ageex=%lf agecens=%lf cens=%d agedc=%lf weight=%lf\n",i,A,L,x[1],x[2],ageexmed[i]12,agecens[i]12,cens[i],agedc[i]12,weight[i]);/
}	}
}	}

/printf("x1=%2.9f x2=%2.9f x3=%2.9f L=%f\n",x[1],x[2],x[3],L);/	/printf("x1=%2.9f x2=%2.9f x3=%2.9f L=%f\n",x[1],x[2],x[3],L);/

return -2Lnum/sump;	return -2Lnum/sump;
}	}
Line 9096 double gompertz(double x[])	Line 10149 double gompertz(double x[])
/***************** Gompertz_f Likelihood ****************************/	/***************** Gompertz_f Likelihood ****************************/
double gompertz_f(const gsl_vector v, void params)	double gompertz_f(const gsl_vector v, void params)
{	{
double A,B,LL=0.0,sump=0.,num=0.;	double A=0.,B=0.,LL=0.0,sump=0.,num=0.;
double x= (double ) v->data;	double x= (double ) v->data;
int i,n=0; /* n is the size of the sample */	int i,n=0; /* n is the size of the sample */

Line 9189 int readdata(char datafile[], int firsto	Line 10242 int readdata(char datafile[], int firsto
int i=0, j=0, n=0, iv=0, v;	int i=0, j=0, n=0, iv=0, v;
int lstra;	int lstra;
int linei, month, year,iout;	int linei, month, year,iout;
	int noffset=0; /* This is the offset if BOM data file */
char line[MAXLINE], linetmp[MAXLINE];	char line[MAXLINE], linetmp[MAXLINE];
char stra[MAXLINE], strb[MAXLINE];	char stra[MAXLINE], strb[MAXLINE];
char *stratrunc;	char *stratrunc;

DummyV=ivector(1,NCOVMAX); /* 1 to 3 */	DummyV=ivector(1,NCOVMAX); /* 1 to 3 */
FixedV=ivector(1,NCOVMAX); /* 1 to 3 */	FixedV=ivector(1,NCOVMAX); /* 1 to 3 */
	for(v=1;v<NCOVMAX;v++){
	DummyV[v]=0;
	FixedV[v]=0;
	}

for(v=1; v <=ncovcol;v++){	for(v=1; v <=ncovcol;v++){
DummyV[v]=0;	DummyV[v]=0;
Line 9216 int readdata(char datafile[], int firsto	Line 10274 int readdata(char datafile[], int firsto
printf("Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]);	printf("Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]);
fprintf(ficlog,"Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]);	fprintf(ficlog,"Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]);
}	}

	ncovcolt=ncovcol+nqv+ntv+nqtv; /* total of covariates in the data, not in the model equation */

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

i=1;	/* Is it a BOM UTF-8 Windows file? */
	/* First data line */
linei=0;	linei=0;
	while(fgets(line, MAXLINE, fic)) {
	noffset=0;
	if( line[0] == (char)0xEF && line[1] == (char)0xBB) /* EF BB BF */
	{
	noffset=noffset+3;
	printf("# Data file '%s' is an UTF8 BOM file, please convert to UTF8 or ascii file and rerun.\n",datafile);fflush(stdout);
	fprintf(ficlog,"# Data file '%s' is an UTF8 BOM file, please convert to UTF8 or ascii file and rerun.\n",datafile);
	fflush(ficlog); return 1;
	}
	/* else if( line[0] == (char)0xFE && line[1] == (char)0xFF)*/
	else if( line[0] == (char)0xFF && line[1] == (char)0xFE)
	{
	noffset=noffset+2;
	printf("# Error Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile);fflush(stdout);
	fprintf(ficlog,"# Error Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile);
	fflush(ficlog); return 1;
	}
	else if( line[0] == 0 && line[1] == 0)
	{
	if( line[2] == (char)0xFE && line[3] == (char)0xFF){
	noffset=noffset+4;
	printf("# Error Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile);fflush(stdout);
	fprintf(ficlog,"# Error Data file '%s' is a huge UTF16BE BOM file, please convert to UTF8 or ascii file (for example with dos2unix) and rerun.\n",datafile);
	fflush(ficlog); return 1;
	}
	} else{
	;/printf(" Not a BOM file\n");/
	}
	/* If line starts with a # it is a comment */
	if (line[noffset] == '#') {
	linei=linei+1;
	break;
	}else{
	break;
	}
	}
	fclose(fic);
	if((fic=fopen(datafile,"r"))==NULL) {
	printf("Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(stdout);
	fprintf(ficlog,"Problem while opening datafile: %s with errno='%s'\n", datafile,strerror(errno));fflush(ficlog);return 1;
	}
	/* Not a Bom file */

	i=1;
while ((fgets(line, MAXLINE, fic) != NULL) &&((i >= firstobs) && (i <=lastobs))) {	while ((fgets(line, MAXLINE, fic) != NULL) &&((i >= firstobs) && (i <=lastobs))) {
linei=linei+1;	linei=linei+1;
for(j=strlen(line); j>=0;j--){ /* Untabifies line */	for(j=strlen(line); j>=0;j--){ /* Untabifies line */
Line 9290 int readdata(char datafile[], int firsto	Line 10395 int readdata(char datafile[], int firsto
}	}
if(lval <-1 \|\| lval >1){	if(lval <-1 \|\| lval >1){
printf("Error reading data around '%ld' at line number %d 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 of wave %d (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 \
build V1=0 V2=0 for the reference value (1),\n \	build V1=0 V2=0 for the reference value (1),\n \
V1=1 V2=0 for (2) \n \	V1=1 V2=0 for (2) \n \
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,iv,j);
fprintf(ficlog,"Error reading data around '%ld' at line number %d 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 of wave %d (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 \
build V1=0 V2=0 for the reference value (1),\n \	build V1=0 V2=0 for the reference value (1),\n \
V1=1 V2=0 for (2) \n \	V1=1 V2=0 for (2) \n \
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);fflush(ficlog);	Exiting.\n",lval,linei, i,line,iv,j);fflush(ficlog);
return 1;	return 1;
}	}
cotvar[j][iv][i]=(double)(lval);	cotvar[j][iv][i]=(double)(lval);
Line 9344 int readdata(char datafile[], int firsto	Line 10449 int readdata(char datafile[], int firsto
return 1;	return 1;
}	}
anint[j][i]= (double) year;	anint[j][i]= (double) year;
mint[j][i]= (double)month;	mint[j][i]= (double)month;
	/* if( (int)anint[j][i]+ (int)(mint[j][i])/12. < (int) (moisnais[i]/12.+annais[i])){ */
	/* printf("Warning reading data around '%s' at line number %d for individual %d, '%s'\nThe date of interview (%2d/%4d) at wave %d occurred before the date of birth (%2d/%4d).\n",strb, linei,i, line, mint[j][i],anint[j][i], moisnais[i],annais[i]); */
	/* fprintf(ficlog,"Warning reading data around '%s' at line number %d for individual %d, '%s'\nThe date of interview (%2d/%4d) at wave %d occurred before the date of birth (%2d/%4d).\n",strb, linei,i, line, mint[j][i],anint[j][i], moisnais[i],annais[i]); */
	/* } */
strcpy(line,stra);	strcpy(line,stra);
} /* End loop on waves */	} /* End loop on waves */

Line 9383 int readdata(char datafile[], int firsto	Line 10492 int readdata(char datafile[], int firsto

}	}
annais[i]=(double)(year);	annais[i]=(double)(year);
moisnais[i]=(double)(month);	moisnais[i]=(double)(month);
	for (j=1;j<=maxwav;j++){
	if( (int)anint[j][i]+ (int)(mint[j][i])/12. < (int) (moisnais[i]/12.+annais[i])){
	printf("Warning reading data around '%s' at line number %d for individual %d, '%s'\nThe date of interview (%2d/%4d) at wave %d occurred before the date of birth (%2d/%4d).\n",strb, linei,i, line, (int)mint[j][i],(int)anint[j][i], j,(int)moisnais[i],(int)annais[i]);
	fprintf(ficlog,"Warning reading data around '%s' at line number %d for individual %d, '%s'\nThe date of interview (%2d/%4d) at wave %d occurred before the date of birth (%2d/%4d).\n",strb, linei,i, line, (int)mint[j][i],(int)anint[j][i], j, (int)moisnais[i],(int)annais[i]);
	}
	}

strcpy(line,stra);	strcpy(line,stra);

/* Sample weight */	/* Sample weight */
Line 9403 int readdata(char datafile[], int firsto	Line 10519 int readdata(char datafile[], int firsto
cutv(stra, strb, line, ' ');	cutv(stra, strb, line, ' ');
if(strb[0]=='.') { /* Missing value */	if(strb[0]=='.') { /* Missing value */
lval=-1;	lval=-1;
	coqvar[iv][i]=NAN;
	covar[ncovcol+iv][i]=NAN; /* including qvar in standard covar for performance reasons */
}else{	}else{
errno=0;	errno=0;
/* what_kind_of_number(strb); */	/* what_kind_of_number(strb); */
Line 9496 void removefirstspace(char *stri){/, c	Line 10614 void removefirstspace(char *stri){/, c
*stri=p2;	*stri=p2;
}	}

int decoderesult ( char resultline[], int nres)	int decoderesult( char resultline[], int nres)
/< This routine decode one result line and returns the combination # of dummy covariates only /	/< This routine decode one result line and returns the combination # of dummy covariates only /
{	{
int j=0, k=0, k1=0, k2=0, k3=0, k4=0, match=0, k2q=0, k3q=0, k4q=0;	int j=0, k=0, k1=0, k2=0, k3=0, k4=0, match=0, k2q=0, k3q=0, k4q=0;
char resultsav[MAXLINE];	char resultsav[MAXLINE];
int resultmodel[MAXLINE];	/* int resultmodel[MAXLINE]; */
int modelresult[MAXLINE];	/* int modelresult[MAXLINE]; */
char stra[80], strb[80], strc[80], strd[80],stre[80];	char stra[80], strb[80], strc[80], strd[80],stre[80];

removefirstspace(&resultline);	removefirstspace(&resultline);
printf("decoderesult:%s\n",resultline);	printf("decoderesult:%s\n",resultline);

if (strstr(resultline,"v") !=0){	strcpy(resultsav,resultline);
printf("Error. 'v' must be in upper case 'V' result: %s ",resultline);	printf("Decoderesult resultsav=\"%s\" resultline=\"%s\"\n", resultsav, resultline);
fprintf(ficlog,"Error. 'v' must be in upper case result: %s ",resultline);fflush(ficlog);
return 1;
}
trimbb(resultsav, resultline);
if (strlen(resultsav) >1){	if (strlen(resultsav) >1){
j=nbocc(resultsav,'='); /*< j=Number of covariate values'=' /	j=nbocc(resultsav,'='); /*< j=Number of covariate values'=' in this resultline /
}	}
if(j == 0){ /* Resultline but no = */	if(j == 0){ /* Resultline but no = */
TKresult[nres]=0; /* Combination for the nresult and the model */	TKresult[nres]=0; /* Combination for the nresult and the model */
return (0);	return (0);
}	}

if( j != cptcovs ){ /* Be careful if a variable is in a product but not single */	if( j != cptcovs ){ /* Be careful if a variable is in a product but not single */
printf("ERROR: the number of variable in the resultline, %d, differs from the number of variable used in the model line, %d.\n",j, cptcovs);	printf("ERROR: the number of variables in the resultline which is %d, differs from the number %d of single variables used in the model line, %s.\n",j, cptcovs, model);
fprintf(ficlog,"ERROR: the number of variable in the resultline, %d, differs from the number of variable used in the model line, %d.\n",j, cptcovs);	fprintf(ficlog,"ERROR: the number of variables in the resultline which is %d, differs from the number %d of single variables used in the model line, %s.\n",j, cptcovs, model);
	/* return 1;*/
}	}
for(k=1; k<=j;k++){ /* Loop on any covariate of the result line */	for(k=1; k<=j;k++){ /* Loop on any covariate of the RESULT LINE */
if(nbocc(resultsav,'=') >1){	if(nbocc(resultsav,'=') >1){
cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' '	cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' ' (stra is the rest of the resultline to be analyzed in the next loop // resultsav= "V4=1 V5=25.1 V3=0" stra= "V5=25.1 V3=0" strb= "V4=1" */
resultsav= V4=1 V5=25.1 V3=0 strb=V3=0 stra= V4=1 V5=25.1 */	/* If resultsav= "V4= 1 V5=25.1 V3=0" with a blank then strb="V4=" and stra="1 V5=25.1 V3=0" */
cutl(strc,strd,strb,'='); /* strb:V4=1 strc=1 strd=V4 */	cutl(strc,strd,strb,'='); /* strb:"V4=1" strc="1" strd="V4" */
	/* If a blank, then strc="V4=" and strd='\0' */
	if(strc[0]=='\0'){
	printf("Error in resultline, probably a blank after the \"%s\", \"result:%s\", stra=\"%s\" resultsav=\"%s\"\n",strb,resultline, stra, resultsav);
	fprintf(ficlog,"Error in resultline, probably a blank after the \"V%s=\", resultline=%s\n",strb,resultline);
	return 1;
	}
}else	}else
cutl(strc,strd,resultsav,'=');	cutl(strc,strd,resultsav,'=');
Tvalsel[k]=atof(strc); /* 1 */	Tvalsel[k]=atof(strc); /* 1 / / Tvalsel of k is the float value of the kth covariate appearing in this result line */

cutl(strc,stre,strd,'V'); /* strd='V4' strc=4 stre='V' */;	cutl(strc,stre,strd,'V'); /* strd='V4' strc=4 stre='V' */;
Tvarsel[k]=atoi(strc);	Tvarsel[k]=atoi(strc); /* 4 / / Tvarsel is the id of the kth covariate in the result line Tvarsel[1] in "V4=1.." is 4.*/
/* Typevarsel[k]=1; /\* 1 for age product \/ /	/* Typevarsel[k]=1; /\* 1 for age product \/ /
/* cptcovsel++; */	/* cptcovsel++; */
if (nbocc(stra,'=') >0)	if (nbocc(stra,'=') >0)
strcpy(resultsav,stra); /* and analyzes it */	strcpy(resultsav,stra); /* and analyzes it */
}	}
/* Checking for missing or useless values in comparison of current model needs */	/* Checking for missing or useless values in comparison of current model needs */
for(k1=1; k1<= cptcovt ;k1++){ /* model line V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */	/* Feeds resultmodel[nres][k1]=k2 for k1th product covariate with age in the model equation fed by the index k2 of the resutline*/
	for(k1=1; k1<= cptcovt ;k1++){ /* Loop on MODEL LINE V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */
if(Typevar[k1]==0){ /* Single covariate in model */	if(Typevar[k1]==0){ /* Single covariate in model */
	/* 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product */
match=0;	match=0;
for(k2=1; k2 <=j;k2++){/* result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */	for(k2=1; k2 <=j;k2++){/* Loop on resultline. In result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */
if(Tvar[k1]==Tvarsel[k2]) {/* Tvar[1]=5 == Tvarsel[2]=5 */	if(Tvar[k1]==Tvarsel[k2]) {/* Tvar is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5 */
modelresult[k2]=k1;/* modelresult[2]=1 modelresult[1]=2 modelresult[3]=3 modelresult[6]=4 modelresult[9]=5 */	modelresult[nres][k2]=k1;/* modelresult[2]=1 modelresult[1]=2 modelresult[3]=3 modelresult[6]=4 modelresult[9]=5 */
match=1;	match=1; /* modelresult of k2 variable of resultline is identical to k1 variable of the model good */
break;	break;
}	}
}	}
if(match == 0){	if(match == 0){
printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model);	printf("Error in result line (Dummy single): V%d is missing in result: %s according to model=1+age+%s. Tvar[k1=%d]=%d is different from Tvarsel[k2=%d]=%d.\n",Tvar[k1], resultline, model,k1, Tvar[k1], k2, Tvarsel[k2]);
	fprintf(ficlog,"Error in result line (Dummy single): V%d is missing in result: %s according to model=1+age+%s\n",Tvar[k1], resultline, model);
	return 1;
}	}
}	}else if(Typevar[k1]==1){ /* Product with age We want to get the position k2 in the resultline of the product k1 in the model line*/
}	/* We feed resultmodel[k1]=k2; */
	match=0;
	for(k2=1; k2 <=j;k2++){/* Loop on resultline. jth occurence of = signs in the result line. In result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */
	if(Tvar[k1]==Tvarsel[k2]) {/* Tvar is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5 */
	modelresult[nres][k2]=k1;/* we found a Vn=1 corrresponding to Vnage in the model modelresult[2]=1 modelresult[1]=2 modelresult[3]=3 modelresult[6]=4 modelresult[9]=5 /
	resultmodel[nres][k1]=k2; /* Added here */
	printf("Decoderesult first modelresult[k2=%d]=%d (k1) V%d*AGE\n",k2,k1,Tvar[k1]);
	match=1; /* modelresult of k2 variable of resultline is identical to k1 variable of the model good */
	break;
	}
	}
	if(match == 0){
	printf("Error in result line (Product with age): V%d is missing in result: %s according to model=1+age+%s (Tvarsel[k2=%d]=%d)\n",Tvar[k1], resultline, model, k2, Tvarsel[k2]);
	fprintf(ficlog,"Error in result line (Product with age): V%d is missing in result: %s according to model=1+age+%s (Tvarsel[k2=%d]=%d)\n",Tvar[k1], resultline, model, k2, Tvarsel[k2]);
	return 1;
	}
	}else if(Typevar[k1]==2){ /* Product No age We want to get the position in the resultline of the product in the model line*/
	/* resultmodel[nres][of such a Vn * Vm product k1] is not unique, so can't exist, we feed Tvard[k1][1] and [2] */
	match=0;
	printf("Decoderesult very first Product Tvardk[k1=%d][1]=%d Tvardk[k1=%d][2]=%d V%d * V%d\n",k1,Tvardk[k1][1],k1,Tvardk[k1][2],Tvardk[k1][1],Tvardk[k1][2]);
	for(k2=1; k2 <=j;k2++){/* Loop on resultline. In result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */
	if(Tvardk[k1][1]==Tvarsel[k2]) {/* Tvardk is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5 */
	/* modelresult[k2]=k1; */
	printf("Decoderesult first Product modelresult[k2=%d]=%d (k1) V%d * \n",k2,k1,Tvarsel[k2]);
	match=1; /* modelresult of k2 variable of resultline is identical to k1 variable of the model good */
	}
	}
	if(match == 0){
	printf("Error in result line (Product without age first variable): V%d is missing in result: %s according to model=1+age+%s\n",Tvardk[k1][1], resultline, model);
	fprintf(ficlog,"Error in result line (Product without age first variable): V%d is missing in result: %s according to model=1+age+%s\n",Tvardk[k1][1], resultline, model);
	return 1;
	}
	match=0;
	for(k2=1; k2 <=j;k2++){/* Loop on resultline. In result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */
	if(Tvardk[k1][2]==Tvarsel[k2]) {/* Tvardk is coming from the model, Tvarsel from the result. Tvar[1]=5 == Tvarsel[2]=5 */
	/* modelresult[k2]=k1;*/
	printf("Decoderesult second Product modelresult[k2=%d]=%d (k1) * V%d \n ",k2,k1,Tvarsel[k2]);
	match=1; /* modelresult of k2 variable of resultline is identical to k1 variable of the model good */
	break;
	}
	}
	if(match == 0){
	printf("Error in result line (Product without age second variable): V%d is missing in result: %s according to model=1+age+%s\n",Tvardk[k1][2], resultline, model);
	fprintf(ficlog,"Error in result line (Product without age second variable): V%d is missing in result : %s according to model=1+age+%s\n",Tvardk[k1][2], resultline, model);
	return 1;
	}
	}/* End of testing */
	}/* End loop cptcovt */
/* Checking for missing or useless values in comparison of current model needs */	/* Checking for missing or useless values in comparison of current model needs */
for(k2=1; k2 <=j;k2++){ /* result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */	/* Feeds resultmodel[nres][k1]=k2 for single covariate (k1) in the model equation */
	for(k2=1; k2 <=j;k2++){ /* j or cptcovs is the number of single covariates used either in the model line as well as in the result line (dummy or quantitative)
	* Loop on resultline variables: result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */
match=0;	match=0;
for(k1=1; k1<= cptcovt ;k1++){ /* model line V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */	for(k1=1; k1<= cptcovt ;k1++){ /* loop on model: model line V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */
if(Typevar[k1]==0){ /* Single */	if(Typevar[k1]==0){ /* Single only */
if(Tvar[k1]==Tvarsel[k2]) { /* Tvar[2]=4 == Tvarsel[1]=4 */	if(Tvar[k1]==Tvarsel[k2]) { /* Tvar[2]=4 == Tvarsel[1]=4 */
resultmodel[k1]=k2; /* resultmodel[2]=1 resultmodel[1]=2 resultmodel[3]=3 resultmodel[6]=4 resultmodel[9]=5 */	resultmodel[nres][k1]=k2; /* k1th position in the model equation corresponds to k2th position in the result line. resultmodel[2]=1 resultmodel[1]=2 resultmodel[3]=3 resultmodel[6]=4 resultmodel[9]=5 */
	modelresult[nres][k2]=k1; /* k1th position in the model equation corresponds to k2th position in the result line. modelresult[1]=2 modelresult[2]=1 modelresult[3]=3 remodelresult[4]=6 modelresult[5]=9 */
++match;	++match;
}	}
}	}
}	}
if(match == 0){	if(match == 0){
printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model);	printf("Error in result line: variable V%d is missing in model; result: %s, model=1+age+%s\n",Tvarsel[k2], resultline, model);
	fprintf(ficlog,"Error in result line: variable V%d is missing in model; result: %s, model=1+age+%s\n",Tvarsel[k2], resultline, model);
	return 1;
}else if(match > 1){	}else if(match > 1){
printf("Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model);	printf("Error in result line: %d doubled; result: %s, model=1+age+%s\n",k2, resultline, model);
	fprintf(ficlog,"Error in result line: %d doubled; result: %s, model=1+age+%s\n",k2, resultline, model);
	return 1;
}	}
}	}
	/* cptcovres=j /\* Number of variables in the resultline is equal to cptcovs and thus useless \/ /
/* We need to deduce which combination number is chosen and save quantitative values */	/* We need to deduce which combination number is chosen and save quantitative values */
/* model line V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */	/* model line V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */
/* result line V4=1 V5=25.1 V3=0 V2=8 V1=1 */	/* nres=1st result line: V4=1 V5=25.1 V3=0 V2=8 V1=1 */
/* should give a combination of dummy V4=1, V3=0, V1=1 => V42(0) + V32*(1) + V12*(2) = 5 + (1offset) = 6/	/* should correspond to the combination 6 of dummy: V4=1, V3=0, V1=1 => V42(0) + V32*(1) + V12*(2) = 11 + 02 + 14 = 5 + (1offset) = 6*/
/* result line V4=1 V5=24.1 V3=1 V2=8 V1=0 */	/* nres=2nd result line: V4=1 V5=24.1 V3=1 V2=8 V1=0 */
/* should give a combination of dummy V4=1, V3=1, V1=0 => V42(0) + V32*(1) + V12*(2) = 3 + (1offset) = 4/	/* should give a combination of dummy V4=1, V3=1, V1=0 => V42(0) + V32*(1) + V12*(2) = 3 + (1offset) = 4/
/* 1 0 0 0 */	/* 1 0 0 0 */
/* 2 1 0 0 */	/* 2 1 0 0 */
/* 3 0 1 0 */	/* 3 0 1 0 */
/* 4 1 1 0 / / V4=1, V3=1, V1=0 */	/* 4 1 1 0 / / V4=1, V3=1, V1=0 (nres=2)*/
/* 5 0 0 1 */	/* 5 0 0 1 */
/* 6 1 0 1 / / V4=1, V3=0, V1=1 */	/* 6 1 0 1 / / V4=1, V3=0, V1=1 (nres=1)*/
/* 7 0 1 1 */	/* 7 0 1 1 */
/* 8 1 1 1 */	/* 8 1 1 1 */
/* V(Tvresult)=Tresult V4=1 V3=0 V1=1 Tresult[nres=1][2]=0 */	/* V(Tvresult)=Tresult V4=1 V3=0 V1=1 Tresult[nres=1][2]=0 */
/* V(Tvqresult)=Tqresult V5=25.1 V2=8 Tqresult[nres=1][1]=25.1 */	/* V(Tvqresult)=Tqresult V5=25.1 V2=8 Tqresult[nres=1][1]=25.1 */
/* V5age V5 known which value for nres? /	/* V5age V5 known which value for nres? /
/* Tqinvresult[2]=8 Tqinvresult[1]=25.1 */	/* Tqinvresult[2]=8 Tqinvresult[1]=25.1 */
for(k1=1, k=0, k4=0, k4q=0; k1 <=cptcovt;k1++){ /* model line */	for(k1=1, k=0, k4=0, k4q=0; k1 <=cptcovt;k1++){ /* cptcovt number of covariates (excluding 1 and age or age*age) in the MODEL equation.
if( Dummy[k1]==0 && Typevar[k1]==0 ){ /* Single dummy */	* loop on position k1 in the MODEL LINE */
k3= resultmodel[k1]; /* resultmodel[2(V4)] = 1=k3 */	/* k counting number of combination of single dummies in the equation model */
k2=(int)Tvarsel[k3]; /* Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 */	/* k4 counting single dummies in the equation model */
k+=Tvalsel[k3]pow(2,k4); / Tvalsel[1]=1 */	/* k4q counting single quantitatives in the equation model */
Tresult[nres][k4+1]=Tvalsel[k3];/* Tresult[nres][1]=1(V4=1) Tresult[nres][2]=0(V3=0) */	if( Dummy[k1]==0 && Typevar[k1]==0 ){ /* Dummy and Single, k1 is sorting according to MODEL, but k3 to resultline */
Tvresult[nres][k4+1]=(int)Tvarsel[k3];/* Tvresult[nres][1]=4 Tvresult[nres][3]=1 */	/* k4+1= (not always if quant in model) position in the resultline V(Tvarsel)=Tvalsel=Tresult[nres][pos](value); V(Tvresult[nres][pos] (variable): V(variable)=value) */
	/* modelresult[k3]=k1: k3th position in the result line corresponds to the k1 position in the model line (doesn't work with products)*/
	/* Value in the (current nres) resultline of the variable at the k1th position in the model equation resultmodel[nres][k1]= k3 */
	/* resultmodel[nres][k1]=k3: k1th position in the model correspond to the k3 position in the resultline */
	/* k3 is the position in the nres result line of the k1th variable of the model equation */
	/* Tvarsel[k3]: Name of the variable at the k3th position in the result line. */
	/* Tvalsel[k3]: Value of the variable at the k3th position in the result line. */
	/* Tresult[nres][result_position]= value of the dummy variable at the result_position in the nres resultline */
	/* Tvresult[nres][result_position]= name of the dummy variable at the result_position in the nres resultline */
	/* Tinvresult[nres][Name of a dummy variable]= value of the variable in the result line */
	/* TinvDoQresult[nres][Name of a Dummy or Q variable]= value of the variable in the result line */
	k3= resultmodel[nres][k1]; /* From position k1 in model get position k3 in result line */
	/* nres=1 k1=2 resultmodel[2(V4)] = 1=k3 ; k1=3 resultmodel[3(V3)] = 2=k3*/
	k2=(int)Tvarsel[k3]; /* from position k3 in resultline get name k2: nres=1 k1=2=>k3=1 Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 (V4); k1=3=>k3=2 Tvarsel[2]=3 (V3)*/
	k+=Tvalsel[k3]pow(2,k4); / nres=1 k1=2 Tvalsel[1]=1 (V4=1); k1=3 k3=2 Tvalsel[2]=0 (V3=0) */
	TinvDoQresult[nres][(int)Tvarsel[k3]]=Tvalsel[k3]; /* TinvDoQresult[nres][Name]=Value; stores the value into the name of the variable. */
	/* Tinvresult[nres][4]=1 */
	/* Tresult[nres][k4+1]=Tvalsel[k3];/\* Tresult[nres=2][1]=1(V4=1) Tresult[nres=2][2]=0(V3=0) \/ /
	Tresult[nres][k3]=Tvalsel[k3];/* Tresult[nres=2][1]=1(V4=1) Tresult[nres=2][2]=0(V3=0) */
	/* Tvresult[nres][k4+1]=(int)Tvarsel[k3];/\* Tvresult[nres][1]=4 Tvresult[nres][3]=1 \/ /
	Tvresult[nres][k3]=(int)Tvarsel[k3];/* Tvresult[nres][1]=4 Tvresult[nres][3]=1 */
Tinvresult[nres][(int)Tvarsel[k3]]=Tvalsel[k3]; /* Tinvresult[nres][4]=1 */	Tinvresult[nres][(int)Tvarsel[k3]]=Tvalsel[k3]; /* Tinvresult[nres][4]=1 */
printf("Decoderesult Dummy k=%d, V(k2=V%d)= Tvalsel[%d]=%d, 2**(%d)\n",k, k2, k3, (int)Tvalsel[k3], k4);	precov[nres][k1]=Tvalsel[k3]; /* Value from resultline of the variable at the k1 position in the model */
	printf("Decoderesult Dummy k=%d, k1=%d precov[nres=%d][k1=%d]=%.f V(k2=V%d)= Tvalsel[%d]=%d, 2**(%d)\n",k, k1, nres, k1,precov[nres][k1], k2, k3, (int)Tvalsel[k3], k4);
k4++;;	k4++;;
} else if( Dummy[k1]==1 && Typevar[k1]==0 ){ /* Single quantitative */	}else if( Dummy[k1]==1 && Typevar[k1]==0 ){ /* Quantitative and single */
k3q= resultmodel[k1]; /* resultmodel[2] = 1=k3 */	/* Tqresult[nres][result_position]= value of the variable at the result_position in the nres resultline */
k2q=(int)Tvarsel[k3q]; /* Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 */	/* Tvqresult[nres][result_position]= id of the variable at the result_position in the nres resultline */
Tqresult[nres][k4q+1]=Tvalsel[k3q]; /* Tqresult[nres][1]=25.1 */	/* Tqinvresult[nres][Name of a quantitative variable]= value of the variable in the result line */
Tvqresult[nres][k4q+1]=(int)Tvarsel[k3q]; /* Tvqresult[nres][1]=5 */	k3q= resultmodel[nres][k1]; /* resultmodel[1(V5)] = 5 =k3q */
	k2q=(int)Tvarsel[k3q]; /* Name of variable at k3q th position in the resultline */
	/* Tvarsel[resultmodel[1]]= Tvarsel[1] = 4=k2 */
	/* Tqresult[nres][k4q+1]=Tvalsel[k3q]; /\* Tqresult[nres][1]=25.1 \/ /
	/* Tvresult[nres][k4q+1]=(int)Tvarsel[k3q];/\* Tvresult[nres][1]=4 Tvresult[nres][3]=1 \/ /
	/* Tvqresult[nres][k4q+1]=(int)Tvarsel[k3q]; /\* Tvqresult[nres][1]=5 \/ /
	Tqresult[nres][k3q]=Tvalsel[k3q]; /* Tqresult[nres][1]=25.1 */
	Tvresult[nres][k3q]=(int)Tvarsel[k3q];/* Tvresult[nres][1]=4 Tvresult[nres][3]=1 */
	Tvqresult[nres][k3q]=(int)Tvarsel[k3q]; /* Tvqresult[nres][1]=5 */
Tqinvresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */	Tqinvresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */
printf("Decoderesult Quantitative nres=%d, V(k2q=V%d)= Tvalsel[%d]=%d, Tvarsel[%d]=%f\n",nres, k2q, k3q, Tvarsel[k3q], k3q, Tvalsel[k3q]);	TinvDoQresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* Tqinvresult[nres][5]=25.1 */
	precov[nres][k1]=Tvalsel[k3q];
	printf("Decoderesult Quantitative nres=%d,precov[nres=%d][k1=%d]=%.f V(k2q=V%d)= Tvalsel[%d]=%d, Tvarsel[%d]=%f\n",nres, nres, k1,precov[nres][k1], k2q, k3q, Tvarsel[k3q], k3q, Tvalsel[k3q]);
k4q++;;	k4q++;;
	}else if( Dummy[k1]==2 ){ /* For dummy with age product */
	/* Tvar[k1]; / / Age variable */
	/* Wrong we want the value of variable name Tvar[k1] */

	k3= resultmodel[nres][k1]; /* nres=1 k1=2 resultmodel[2(V4)] = 1=k3 ; k1=3 resultmodel[3(V3)] = 2=k3*/
	k2=(int)Tvarsel[k3]; /* nres=1 k1=2=>k3=1 Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 (V4); k1=3=>k3=2 Tvarsel[2]=3 (V3)*/
	TinvDoQresult[nres][(int)Tvarsel[k3]]=Tvalsel[k3]; /* TinvDoQresult[nres][4]=1 */
	precov[nres][k1]=Tvalsel[k3];
	printf("Decoderesult Dummy with age k=%d, k1=%d precov[nres=%d][k1=%d]=%.f Tvar[%d]=V%d k2=Tvarsel[%d]=%d Tvalsel[%d]=%d\n",k, k1, nres, k1,precov[nres][k1], k1, Tvar[k1], k3,(int)Tvarsel[k3], k3, (int)Tvalsel[k3]);
	}else if( Dummy[k1]==3 ){ /* For quant with age product */
	k3q= resultmodel[nres][k1]; /* resultmodel[1(V5)] = 25.1=k3q */
	k2q=(int)Tvarsel[k3q]; /* Tvarsel[resultmodel[1]]= Tvarsel[1] = 4=k2 */
	TinvDoQresult[nres][(int)Tvarsel[k3q]]=Tvalsel[k3q]; /* TinvDoQresult[nres][5]=25.1 */
	precov[nres][k1]=Tvalsel[k3q];
	printf("Decoderesult Quantitative with age nres=%d, k1=%d, precov[nres=%d][k1=%d]=%f Tvar[%d]=V%d V(k2q=%d)= Tvarsel[%d]=%d, Tvalsel[%d]=%f\n",nres, k1, nres, k1,precov[nres][k1], k1, Tvar[k1], k2q, k3q, Tvarsel[k3q], k3q, Tvalsel[k3q]);
	}else if(Typevar[k1]==2 ){ /* For product quant or dummy (not with age) */
	precov[nres][k1]=TinvDoQresult[nres][Tvardk[k1][1]] * TinvDoQresult[nres][Tvardk[k1][2]];
	printf("Decoderesult Quantitative or Dummy (not with age) nres=%d k1=%d precov[nres=%d][k1=%d]=%.f V%d(=%.f) * V%d(=%.f) \n",nres, k1, nres, k1,precov[nres][k1], Tvardk[k1][1], TinvDoQresult[nres][Tvardk[k1][1]], Tvardk[k1][2], TinvDoQresult[nres][Tvardk[k1][2]]);
	}else{
	printf("Error Decoderesult probably a product Dummy[%d]==%d && Typevar[%d]==%d\n", k1, Dummy[k1], k1, Typevar[k1]);
	fprintf(ficlog,"Error Decoderesult probably a product Dummy[%d]==%d && Typevar[%d]==%d\n", k1, Dummy[k1], k1, Typevar[k1]);
}	}
}	}

TKresult[nres]=++k; /* Combination for the nresult and the model */	TKresult[nres]=++k; /* Number of combinations of dummies for the nresult and the model =Tvalsel[k3]pow(2,k4) + 1/
return (0);	return (0);
}	}

Line 9627 int decodemodel( char model[], int lasto	Line 10857 int decodemodel( char model[], int lasto
* - cptcovn or number of covariates k of the models excluding ageproducts =6 and ageage	* - cptcovn or number of covariates k of the models excluding ageproducts =6 and ageage
* - cptcovage number of covariates with age*products =2	* - cptcovage number of covariates with age*products =2
* - cptcovs number of simple covariates	* - cptcovs number of simple covariates
	* ncovcolt=ncovcol+nqv+ntv+nqtv total of covariates in the data, not in the model equation
* - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10	* - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10
* which is a new column after the 9 (ncovcol) variables.	* which is a new column after the 9 (ncovcol+nqv+ntv+nqtv) variables.
* - if k is a product Vn*Vm covar[k][i] is filled with correct values for each individual	* - 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[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.	* 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 .	* - Tvard[k] p Tvard[1][1]@4 {7, 8, 5, 6} for V7V8 and V5V6 .
*/	*/
	/* V2+V1+V4+V3age Tvar[4]=3 ; V1+V2age Tvar[2]=2; V1+V1age Tvar[2]=1, Tage[1]=2 /
{	{
int i, j, k, ks, v;	int i, j, k, ks, v;
int j1, k1, k2, k3, k4;	int j1, k1, k2, k3, k4;
Line 9650 int decodemodel( char model[], int lasto	Line 10882 int decodemodel( char model[], int lasto
return 1;	return 1;
}	}
if (strstr(model,"v") !=0){	if (strstr(model,"v") !=0){
printf("Error. 'v' must be in upper case 'V' model=%s ",model);	printf("Error. 'v' must be in upper case 'V' model=1+age+%s ",model);
fprintf(ficlog,"Error. 'v' must be in upper case model=%s ",model);fflush(ficlog);	fprintf(ficlog,"Error. 'v' must be in upper case model=1+age+%s ",model);fflush(ficlog);
return 1;	return 1;
}	}
strcpy(modelsav,model);	strcpy(modelsav,model);
if ((strpt=strstr(model,"age*age")) !=0){	if ((strpt=strstr(model,"age*age")) !=0){
printf(" strpt=%s, model=%s\n",strpt, model);	printf(" strpt=%s, model=1+age+%s\n",strpt, model);
if(strpt != model){	if(strpt != model){
printf("Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \	printf("Error in model: 'model=1+age+%s'; 'age*age' should in first place before other covariates\n \
'model=1+age+ageage+V1.' or 'model=1+age+ageage+V1+V1*age.', please swap as well as \n \	'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);	corresponding column of parameters.\n",model);
fprintf(ficlog,"Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \	fprintf(ficlog,"Error in model: 'model=1+age+%s'; 'age*age' should in first place before other covariates\n \
'model=1+age+ageage+V1.' or 'model=1+age+ageage+V1+V1*age.', please swap as well as \n \	'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); fflush(ficlog);	corresponding column of parameters.\n",model); fflush(ficlog);
return 1;	return 1;
Line 9711 int decodemodel( char model[], int lasto	Line 10943 int decodemodel( char model[], int lasto
* Model V2 + V1 + V3age + V3 + V5V6 + V7V8 + V8age + V8 d1 d1 d2 d2	* Model V2 + V1 + V3age + V3 + V5V6 + V7V8 + V8age + V8 d1 d1 d2 d2
* k= 1 2 3 4 5 6 7 8 9 10 11 12	* k= 1 2 3 4 5 6 7 8 9 10 11 12
* Tvar[k]= 2 1 3 3 10 11 8 8 5 6 7 8	* Tvar[k]= 2 1 3 3 10 11 8 8 5 6 7 8
* p Tvar[1]@12={2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6}	* p Tvar[1]@12={2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6}
* p Tprod[1]@2={ 6, 5}	* p Tprod[1]@2={ 6, 5}
*p Tvard[1][1]@4= {7, 8, 5, 6}	*p Tvard[1][1]@4= {7, 8, 5, 6}
* covar[k][i]= V2 V1 ? V3 V5V6? V7V8? ? V8	* covar[k][i]= V2 V1 ? V3 V5V6? V7V8? ? V8
* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];	* cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*cov[2];
*How to reorganize?	*How to reorganize? Tvars(orted)
* Model V1 + V2 + V3 + V8 + V5V6 + V7V8 + V3age + V8age	* Model V1 + V2 + V3 + V8 + V5V6 + V7V8 + V3age + V8age
* Tvars {2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6}	* Tvars {2, 1, 3, 3, 11, 10, 8, 8, 7, 8, 5, 6}
* {2, 1, 4, 8, 5, 6, 3, 7}	* {2, 1, 4, 8, 5, 6, 3, 7}
Line 9741 int decodemodel( char model[], int lasto	Line 10973 int decodemodel( char model[], int lasto
Tvar[k]=0; Tprod[k]=0; Tposprod[k]=0;	Tvar[k]=0; Tprod[k]=0; Tposprod[k]=0;
}	}
cptcovage=0;	cptcovage=0;
for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */	for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model line */
cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+'	cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+' cutl from left to right
modelsav==V2+V1+V4+V3age strb=V3age stra=V2+V1+V4 */	modelsav==V2+V1+V5age+V4+V3age strb=V3age stra=V2+V1V5age+V4 / / <model> "V5+V4+V3+V4V3+V5age+V1age+V1" strb="V5" stra="V4+V3+V4V3+V5age+V1age+V1" */
if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */	if (nbocc(modelsav,'+')==0)
	strcpy(strb,modelsav); /* and analyzes it */
/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/	/* printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/
/scanf("%d",i);/	/scanf("%d",i);/
if (strchr(strb,'')) { /< Model includes a product V2+V1+V4+V3age strb=V3age /	if (strchr(strb,'')) { /< Model includes a product V2+V1+V5age+ V4+V3age strb=V3age */
cutl(strc,strd,strb,''); /< strdstrc VmVn: strb=V3age(input) strc=age strd=V3 ; V3V2 strc=V2, strd=V3 /	cutl(strc,strd,strb,''); /< k=1 strdstrc VmVn: strb=V3age(input) strc=age strd=V3 ; V3V2 strc=V2, strd=V3 /
if (strcmp(strc,"age")==0) { /*< Model includes age: Vnage */	if (strcmp(strc,"age")==0) { /*< Model includes age: Vnage */
/* covar is not filled and then is empty */	/* covar is not filled and then is empty */
cptcovprod--;	cptcovprod--;
cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */	cutl(stre,strb,strd,'V'); /* strd=V3(input): stre="3" */
Tvar[k]=atoi(stre); /* V2+V1+V4+V3age Tvar[4]=3 ; V1+V2age Tvar[2]=2; V1+V1age Tvar[2]=1 /	Tvar[k]=atoi(stre); /* V2+V1+V5age+V4+V3age Tvar[5]=3 ; V1+V2age Tvar[2]=2; V1+V1age Tvar[2]=1 */
Typevar[k]=1; /* 1 for age product */	Typevar[k]=1; /* 1 for age product */
cptcovage++; /* Sums the number of covariates which include age as a product */	cptcovage++; /* Counts 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 /	Tage[cptcovage]=k; /* V2+V1+V4+V3age Tvar[4]=3, Tage[1] = 4 or V1+V1age Tvar[2]=1, Tage[1]=2 */
/printf("stre=%s ", stre);/	/printf("stre=%s ", stre);/
} else if (strcmp(strd,"age")==0) { /* or ageVn /	} else if (strcmp(strd,"age")==0) { /* or ageVn /
cptcovprod--;	cptcovprod--;
Line 9770 int decodemodel( char model[], int lasto	Line 11003 int decodemodel( char model[], int lasto
cptcovn++;	cptcovn++;
cptcovprodnoage++;k1++;	cptcovprodnoage++;k1++;
cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3V2 stre=3 strc=/	cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3V2 stre=3 strc=/
Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; /* For model-covariate k tells which data-covariate to use but	Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; /* ncovcolt+k1; For model-covariate k tells which data-covariate to use but
because this model-covariate is a construction we invent a new column	because this model-covariate is a construction we invent a new column
which is after existing variables ncovcol+nqv+ntv+nqtv + k1	which is after existing variables ncovcol+nqv+ntv+nqtv + k1
If already ncovcol=4 and model=V2+V1+V1V4+ageV3+V3*V2	If already ncovcol=4 and model= V2 + V1 + V1V4 + ageV3 + V3*V2
Tvar[3=V1V4]=4+1 Tvar[5=V3V2]=4 + 2= 6, etc */	thus after V4 we invent V5 and V6 because age*V3 will be computed in 4
Typevar[k]=2; /* 2 for double fixed dummy covariates */	Tvar[3=V1V4]=4+1=5 Tvar[5=V3V2]=4 + 2= 6, Tvar[4=ageV3]=3 etc /
	/* Please remark that the new variables are model dependent */
	/* If we have 4 variable but the model uses only 3, like in
	* model= V1 + ageV1 + V2 + V3 + ageV2 + ageV3 + V1V2 + V1*V3
	* k= 1 2 3 4 5 6 7 8
	* Tvar[k]=1 1 2 3 2 3 (5 6) (and not 4 5 because of V4 missing)
	* Tage[kk] [1]= 2 [2]=5 [3]=6 kk=1 to cptcovage=3
	* Tvar[Tage[kk]][1]=2 [2]=2 [3]=3
	*/
	Typevar[k]=2; /* 2 for product */
cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */	cutl(strc,strb,strd,'V'); /* strd was Vm, strc is m */
Tprod[k1]=k; /* Tprod[1]=3(=V1V4) for V2+V1+V1V4+ageV3+V3V2 */	Tprod[k1]=k; /* Tprod[1]=3(=V1V4) for V2+V1+V1V4+ageV3+V3V2 */
Tposprod[k]=k1; /* Tpsprod[3]=1, Tposprod[2]=5 */	Tposprod[k]=k1; /* Tposprod[3]=1, Tposprod[2]=5 */
Tvard[k1][1] =atoi(strc); /* m 1 for V1*/	Tvard[k1][1] =atoi(strc); /* m 1 for V1*/
	Tvardk[k][1] =atoi(strc); /* m 1 for V1*/
Tvard[k1][2] =atoi(stre); /* n 4 for V4*/	Tvard[k1][2] =atoi(stre); /* n 4 for V4*/
	Tvardk[k][2] =atoi(stre); /* n 4 for V4*/
k2=k2+2; /* k2 is initialize to -1, We want to store the n and m in VnVm at the end of Tvar /	k2=k2+2; /* k2 is initialize to -1, We want to store the n and m in VnVm at the end of Tvar /
/* Tvar[cptcovt+k2]=Tvard[k1][1]; /\* Tvar[(cptcovt=4+k2=1)=5]= 1 (V1) \/ /	/* 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) \/ /	/* Tvar[cptcovt+k2+1]=Tvard[k1][2]; /\* Tvar[(cptcovt=4+(k2=1)+1)=6]= 4 (V4) \/ /
/ncovcol=4 and model=V2+V1+V1V4+ageV3+V3V2, Tvar[3]=5, Tvar[4]=6, cptcovt=5 */	/ncovcol=4 and model=V2+V1+V1V4+ageV3+V3V2, Tvar[3]=5, Tvar[4]=6, cptcovt=5 */
/* 1 2 3 4 5 \| Tvar[5+1)=1, Tvar[7]=2 */	/* 1 2 3 4 5 \| Tvar[5+1)=1, Tvar[7]=2 */
for (i=1; i<=lastobs;i++){	if( FixedV[Tvardk[k][1]] == 0 && FixedV[Tvardk[k][2]] == 0){ /* If the product is a fixed covariate then we feed the new column with VnVm /
	for (i=1; i<=lastobs;i++){/* For fixed product */
/* Computes the new covariate which is a product of	/* 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[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];	covar[ncovcolt+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i];
}	}
	} /End of FixedV /
} /* End age is not in the model */	} /* End age is not in the model */
} /* End if model includes a product */	} /* End if model includes a product */
else { /* no more sum */	else { /* not a product */
/printf("d=%s c=%s b=%s\n", strd,strc,strb);/	/printf("d=%s c=%s b=%s\n", strd,strc,strb);/
/* scanf("%d",i);*/	/* scanf("%d",i);*/
cutl(strd,strc,strb,'V');	cutl(strd,strc,strb,'V');
Line 9824 int decodemodel( char model[], int lasto	Line 11070 int decodemodel( char model[], int lasto
model= V5 + V4 +V3 + V4V3 + V5age + V2 + V1V2 + V1age + V5*age, V1 is not used saving its place	model= V5 + V4 +V3 + V4V3 + V5age + V2 + V1V2 + V1age + V5*age, V1 is not used saving its place
k = 1 2 3 4 5 6 7 8 9	k = 1 2 3 4 5 6 7 8 9
Tvar[k]= 5 4 3 1+1+2+1+1=6 5 2 7 1 5	Tvar[k]= 5 4 3 1+1+2+1+1=6 5 2 7 1 5
Typevar[k]= 0 0 0 2 1 0 2 1 1	Typevar[k]= 0 0 0 2 1 0 2 1 0
Fixed[k] 1 1 1 1 3 0 0 or 2 2 3	Fixed[k] 1 1 1 1 3 0 0 or 2 2 3
Dummy[k] 1 0 0 0 3 1 1 2 3	Dummy[k] 1 0 0 0 3 1 1 2 3
Tmodelind[combination of covar]=k;	Tmodelind[combination of covar]=k;
Line 9833 int decodemodel( char model[], int lasto	Line 11079 int decodemodel( char model[], int lasto
/* If Tvar[k] >ncovcol it is a product */	/* If Tvar[k] >ncovcol it is a product */
/* Tvar[k] is the value n of Vn with n varying for 1 to nvcol, or p Vp=VnVm for product /	/* Tvar[k] is the value n of Vn with n varying for 1 to nvcol, or p Vp=VnVm for product /
/* Computing effective variables, ie used by the model, that is from the cptcovt variables */	/* Computing effective variables, ie used by the model, that is from the cptcovt variables */
printf("Model=%s\n\	printf("Model=1+age+%s\n\
Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product \n\	Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product \n\
Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\	Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\
Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model);	Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model);
fprintf(ficlog,"Model=%s\n\	fprintf(ficlog,"Model=1+age+%s\n\
Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product \n\	Typevar: 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for product \n\
Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\	Fixed[k] 0=fixed (product or simple), 1 varying, 2 fixed with age product, 3 varying with age product \n\
Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model);	Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product\n",model);
for(k=-1;k<=cptcovt; k++){ Fixed[k]=0; Dummy[k]=0;}	for(k=-1;k<=cptcovt; k++){ Fixed[k]=0; Dummy[k]=0;}
for(k=1, ncovf=0, nsd=0, nsq=0, ncovv=0, ncova=0, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0;k<=cptcovt; k++){ /* or cptocvt */	for(k=1, ncovf=0, nsd=0, nsq=0, ncovv=0, ncova=0, ncoveff=0, nqfveff=0, ntveff=0, nqtveff=0, ncovvt=0;k<=cptcovt; k++){ /* or cptocvt */
if (Tvar[k] <=ncovcol && Typevar[k]==0 ){ /* Simple fixed dummy (<=ncovcol) covariates */	if (Tvar[k] <=ncovcol && Typevar[k]==0 ){ /* Simple fixed dummy (<=ncovcol) covariates */
Fixed[k]= 0;	Fixed[k]= 0;
Dummy[k]= 0;	Dummy[k]= 0;
Line 9852 Dummy[k] 0=dummy (0 1), 1 quantitative (	Line 11098 Dummy[k] 0=dummy (0 1), 1 quantitative (
modell[k].maintype= FTYPE;	modell[k].maintype= FTYPE;
TvarsD[nsd]=Tvar[k];	TvarsD[nsd]=Tvar[k];
TvarsDind[nsd]=k;	TvarsDind[nsd]=k;
	TnsdVar[Tvar[k]]=nsd;
TvarF[ncovf]=Tvar[k];	TvarF[ncovf]=Tvar[k];
TvarFind[ncovf]=k;	TvarFind[ncovf]=k;
TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */	TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */
TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */	TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */
}else if( Tvar[k] <=ncovcol && Typevar[k]==2){ /* Product of fixed dummy (<=ncovcol) covariates */	/* }else if( Tvar[k] <=ncovcol && Typevar[k]==2){ /\* Product of fixed dummy (<=ncovcol) covariates For a fixed product k is higher than ncovcol \/ /
	}else if( Tposprod[k]>0 && Typevar[k]==2 && FixedV[Tvardk[k][1]] == 0 && FixedV[Tvardk[k][2]] == 0){ /* Needs a fixed product Product of fixed dummy (<=ncovcol) covariates For a fixed product k is higher than ncovcol */
Fixed[k]= 0;	Fixed[k]= 0;
Dummy[k]= 0;	Dummy[k]= 0;
ncoveff++;	ncoveff++;
ncovf++;	ncovf++;
modell[k].maintype= FTYPE;	modell[k].maintype= FTYPE;
TvarF[ncovf]=Tvar[k];	TvarF[ncovf]=Tvar[k];
	/* TnsdVar[Tvar[k]]=nsd; / / To be done */
TvarFind[ncovf]=k;	TvarFind[ncovf]=k;
TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */	TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */
TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */	TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 */
Line 9873 Dummy[k] 0=dummy (0 1), 1 quantitative (	Line 11122 Dummy[k] 0=dummy (0 1), 1 quantitative (
modell[k].maintype= FTYPE;	modell[k].maintype= FTYPE;
modell[k].subtype= FQ;	modell[k].subtype= FQ;
nsq++;	nsq++;
TvarsQ[nsq]=Tvar[k];	TvarsQ[nsq]=Tvar[k]; /* Gives the variable name (extended to products) of first nsq simple quantitative covariates (fixed or time vary see below */
TvarsQind[nsq]=k;	TvarsQind[nsq]=k; /* Gives the position in the model equation of the first nsq simple quantitative covariates (fixed or time vary) */
ncovf++;	ncovf++;
TvarF[ncovf]=Tvar[k];	TvarF[ncovf]=Tvar[k];
TvarFind[ncovf]=k;	TvarFind[ncovf]=k;
TvarFQ[nqfveff]=Tvar[k]-ncovcol; /* TvarFQ[1]=V2-1=1st in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Only simple fixed quantitative variable */	TvarFQ[nqfveff]=Tvar[k]-ncovcol; /* TvarFQ[1]=V2-1=1st in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Only simple fixed quantitative variable */
TvarFQind[nqfveff]=k; /* TvarFQind[1]=6 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Only simple fixed quantitative variable */	TvarFQind[nqfveff]=k; /* TvarFQind[1]=6 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Only simple fixed quantitative variable */
}else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){/* Only simple time varying dummy variables */	}else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){/* Only simple time varying dummy variables */
	/# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 /
	/* model V1+V3+ageV1+ageV3+V1V3 /
	/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */
	ncovvt++;
	TvarVV[ncovvt]=Tvar[k]; /* TvarVV[1]=V3 (first time varying in the model equation */
	TvarVVind[ncovvt]=k; /* TvarVVind[1]=2 (second position in the model equation */

Fixed[k]= 1;	Fixed[k]= 1;
Dummy[k]= 0;	Dummy[k]= 0;
ntveff++; /* Only simple time varying dummy variable */	ntveff++; /* Only simple time varying dummy variable */
Line 9889 Dummy[k] 0=dummy (0 1), 1 quantitative (	Line 11145 Dummy[k] 0=dummy (0 1), 1 quantitative (
nsd++;	nsd++;
TvarsD[nsd]=Tvar[k];	TvarsD[nsd]=Tvar[k];
TvarsDind[nsd]=k;	TvarsDind[nsd]=k;
	TnsdVar[Tvar[k]]=nsd; /* To be verified */
ncovv++; /* Only simple time varying variables */	ncovv++; /* Only simple time varying variables */
TvarV[ncovv]=Tvar[k];	TvarV[ncovv]=Tvar[k];
TvarVind[ncovv]=k; /* TvarVind[2]=2 TvarVind[3]=3 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Any time varying singele */	TvarVind[ncovv]=k; /* TvarVind[2]=2 TvarVind[3]=3 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Any time varying singele */
Line 9897 Dummy[k] 0=dummy (0 1), 1 quantitative (	Line 11154 Dummy[k] 0=dummy (0 1), 1 quantitative (
printf("Quasi Tmodelind[%d]=%d,Tvar[Tmodelind[%d]]=V%d, ncovcol=%d, nqv=%d,Tvar[k]- ncovcol-nqv=%d\n",ntveff,k,ntveff,Tvar[k], ncovcol, nqv,Tvar[k]- ncovcol-nqv);	printf("Quasi Tmodelind[%d]=%d,Tvar[Tmodelind[%d]]=V%d, ncovcol=%d, nqv=%d,Tvar[k]- ncovcol-nqv=%d\n",ntveff,k,ntveff,Tvar[k], ncovcol, nqv,Tvar[k]- ncovcol-nqv);
printf("Quasi TmodelInvind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv);	printf("Quasi TmodelInvind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv);
}else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv && Typevar[k]==0){ /* Only simple time varying quantitative variable V5*/	}else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv && Typevar[k]==0){ /* Only simple time varying quantitative variable V5*/
	/# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 /
	/* model V1+V3+ageV1+ageV3+V1V3 /
	/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */
	ncovvt++;
	TvarVV[ncovvt]=Tvar[k]; /* TvarVV[1]=V3 (first time varying in the model equation */
	TvarVVind[ncovvt]=k; /* TvarVV[1]=V3 (first time varying in the model equation */

Fixed[k]= 1;	Fixed[k]= 1;
Dummy[k]= 1;	Dummy[k]= 1;
nqtveff++;	nqtveff++;
Line 9904 Dummy[k] 0=dummy (0 1), 1 quantitative (	Line 11168 Dummy[k] 0=dummy (0 1), 1 quantitative (
modell[k].subtype= VQ;	modell[k].subtype= VQ;
ncovv++; /* Only simple time varying variables */	ncovv++; /* Only simple time varying variables */
nsq++;	nsq++;
TvarsQ[nsq]=Tvar[k];	TvarsQ[nsq]=Tvar[k]; /* k=1 Tvar=5 nsq=1 TvarsQ[1]=5 / / Gives the variable name (extended to products) of first nsq simple quantitative covariates (fixed or time vary here) */
TvarsQind[nsq]=k;	TvarsQind[nsq]=k; /* For single quantitative covariate gives the model position of each single quantitative covariate // Gives the position in the model equation of the first nsq simple quantitative covariates (fixed or time vary) */
TvarV[ncovv]=Tvar[k];	TvarV[ncovv]=Tvar[k];
TvarVind[ncovv]=k; /* TvarVind[1]=1 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Any time varying singele */	TvarVind[ncovv]=k; /* TvarVind[1]=1 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Any time varying singele */
TvarVQ[nqtveff]=Tvar[k]; /* TvarVQ[1]=V5 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Only simple time varying quantitative variable */	TvarVQ[nqtveff]=Tvar[k]; /* TvarVQ[1]=V5 in V5+V4+V3+V4V3+V5age+V2+V1V2+V1age+V1 / / Only simple time varying quantitative variable */
Line 9943 Dummy[k] 0=dummy (0 1), 1 quantitative (	Line 11207 Dummy[k] 0=dummy (0 1), 1 quantitative (
modell[k].subtype= APVQ; /* Product age * varying quantitative */	modell[k].subtype= APVQ; /* Product age * varying quantitative */
/* nqtveff++;/\* Only simple time varying quantitative variable \/ /	/* nqtveff++;/\* Only simple time varying quantitative variable \/ /
}	}
}else if (Typevar[k] == 2) { /* product without age */	}else if (Typevar[k] == 2) { /* product Vn * Vm without age, V1+V3+ageV1+ageV3+V1V3 looking at V1V3, Typevar={0, 0, 1, 1, 2}, k=5, V1 is fixed, V3 is timevary, V5 is a product */
k1=Tposprod[k];	/# ID V1 V2 weight birth death 1st s1 V3 V4 V5 2nd s2 /
if(Tvard[k1][1] <=ncovcol){	/* model V1+V3+ageV1+ageV3+V1V3 /
if(Tvard[k1][2] <=ncovcol){	/* Tvar={1, 3, 1, 3, 6}, the 6 comes from the fact that there are already V1, V2, V3, V4, V5 native covariates */
	k1=Tposprod[k]; /* Position in the products of product k, Tposprod={0, 0, 0, 0, 1} k1=1 first product but second time varying because of V3 */
	ncovvt++;
	TvarVV[ncovvt]=Tvard[k1][1]; /* TvarVV[2]=V1 (because TvarVV[1] was V3, first time varying covariates */
	TvarVVind[ncovvt]=k; /* TvarVVind[2]=5 (because TvarVVind[2] was V1V3 at position 5 /
	ncovvt++;
	TvarVV[ncovvt]=Tvard[k1][2]; /* TvarVV[3]=V3 */
	TvarVVind[ncovvt]=k; /* TvarVVind[2]=5 (because TvarVVind[2] was V1V3 at position 5 /


	if(Tvard[k1][1] <=ncovcol){ /* Vn is dummy fixed, (Tvard[1][1]=V1), (Tvard[1][1]=V3 time varying) */
	if(Tvard[k1][2] <=ncovcol){ /* Vm is dummy fixed */
Fixed[k]= 1;	Fixed[k]= 1;
Dummy[k]= 0;	Dummy[k]= 0;
modell[k].maintype= FTYPE;	modell[k].maintype= FTYPE;
Line 9954 Dummy[k] 0=dummy (0 1), 1 quantitative (	Line 11229 Dummy[k] 0=dummy (0 1), 1 quantitative (
ncovf++; /* Fixed variables without age */	ncovf++; /* Fixed variables without age */
TvarF[ncovf]=Tvar[k];	TvarF[ncovf]=Tvar[k];
TvarFind[ncovf]=k;	TvarFind[ncovf]=k;
}else if(Tvard[k1][2] <=ncovcol+nqv){	}else if(Tvard[k1][2] <=ncovcol+nqv){ /* Vm is quanti fixed */
Fixed[k]= 0; /* or 2 ?*/	Fixed[k]= 0; /* Fixed product */
Dummy[k]= 1;	Dummy[k]= 1;
modell[k].maintype= FTYPE;	modell[k].maintype= FTYPE;
modell[k].subtype= FPDQ; /* Product fixed dummy * fixed quantitative */	modell[k].subtype= FPDQ; /* Product fixed dummy * fixed quantitative */
ncovf++; /* Varying variables without age */	ncovf++; /* Varying variables without age */
TvarF[ncovf]=Tvar[k];	TvarF[ncovf]=Tvar[k];
TvarFind[ncovf]=k;	TvarFind[ncovf]=k;
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){	}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ /* Vm is a time varying dummy covariate */
Fixed[k]= 1;	Fixed[k]= 1;
Dummy[k]= 0;	Dummy[k]= 0;
modell[k].maintype= VTYPE;	modell[k].maintype= VTYPE;
modell[k].subtype= VPDD; /* Product fixed dummy * varying dummy */	modell[k].subtype= VPDD; /* Product fixed dummy * varying dummy */
ncovv++; /* Varying variables without age */	ncovv++; /* Varying variables without age */
TvarV[ncovv]=Tvar[k];	TvarV[ncovv]=Tvar[k]; /* TvarV[1]=Tvar[5]=5 because there is a V4 */
TvarVind[ncovv]=k;	TvarVind[ncovv]=k;/* TvarVind[1]=5 */
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){	}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ /* Vm is a time varying quantitative covariate */
Fixed[k]= 1;	Fixed[k]= 1;
Dummy[k]= 1;	Dummy[k]= 1;
modell[k].maintype= VTYPE;	modell[k].maintype= VTYPE;
Line 9979 Dummy[k] 0=dummy (0 1), 1 quantitative (	Line 11254 Dummy[k] 0=dummy (0 1), 1 quantitative (
TvarV[ncovv]=Tvar[k];	TvarV[ncovv]=Tvar[k];
TvarVind[ncovv]=k;	TvarVind[ncovv]=k;
}	}
}else if(Tvard[k1][1] <=ncovcol+nqv){	}else if(Tvard[k1][1] <=ncovcol+nqv){ /* Vn is fixed quanti */
if(Tvard[k1][2] <=ncovcol){	if(Tvard[k1][2] <=ncovcol){ /* Vm is fixed dummy */
Fixed[k]= 0; /* or 2 ?*/	Fixed[k]= 0; /* Fixed product */
Dummy[k]= 1;	Dummy[k]= 1;
modell[k].maintype= FTYPE;	modell[k].maintype= FTYPE;
modell[k].subtype= FPDQ; /* Product fixed quantitative * fixed dummy */	modell[k].subtype= FPDQ; /* Product fixed quantitative * fixed dummy */
ncovf++; /* Fixed variables without age */	ncovf++; /* Fixed variables without age */
TvarF[ncovf]=Tvar[k];	TvarF[ncovf]=Tvar[k];
TvarFind[ncovf]=k;	TvarFind[ncovf]=k;
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){	}else if(Tvard[k1][2] <=ncovcol+nqv+ntv){ /* Vm is time varying */
Fixed[k]= 1;	Fixed[k]= 1;
Dummy[k]= 1;	Dummy[k]= 1;
modell[k].maintype= VTYPE;	modell[k].maintype= VTYPE;
Line 9996 Dummy[k] 0=dummy (0 1), 1 quantitative (	Line 11271 Dummy[k] 0=dummy (0 1), 1 quantitative (
ncovv++; /* Varying variables without age */	ncovv++; /* Varying variables without age */
TvarV[ncovv]=Tvar[k];	TvarV[ncovv]=Tvar[k];
TvarVind[ncovv]=k;	TvarVind[ncovv]=k;
}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){	}else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){ /* Vm is time varying quanti */
Fixed[k]= 1;	Fixed[k]= 1;
Dummy[k]= 1;	Dummy[k]= 1;
modell[k].maintype= VTYPE;	modell[k].maintype= VTYPE;
Line 10008 Dummy[k] 0=dummy (0 1), 1 quantitative (	Line 11283 Dummy[k] 0=dummy (0 1), 1 quantitative (
TvarV[ncovv]=Tvar[k];	TvarV[ncovv]=Tvar[k];
TvarVind[ncovv]=k;	TvarVind[ncovv]=k;
}	}
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv){	}else if(Tvard[k1][1] <=ncovcol+nqv+ntv){ /* Vn is time varying dummy */
if(Tvard[k1][2] <=ncovcol){	if(Tvard[k1][2] <=ncovcol){
Fixed[k]= 1;	Fixed[k]= 1;
Dummy[k]= 1;	Dummy[k]= 1;
Line 10042 Dummy[k] 0=dummy (0 1), 1 quantitative (	Line 11317 Dummy[k] 0=dummy (0 1), 1 quantitative (
TvarV[ncovv]=Tvar[k];	TvarV[ncovv]=Tvar[k];
TvarVind[ncovv]=k;	TvarVind[ncovv]=k;
}	}
}else if(Tvard[k1][1] <=ncovcol+nqv+ntv+nqtv){	}else if(Tvard[k1][1] <=ncovcol+nqv+ntv+nqtv){ /* Vn is time varying quanti */
if(Tvard[k1][2] <=ncovcol){	if(Tvard[k1][2] <=ncovcol){
Fixed[k]= 1;	Fixed[k]= 1;
Dummy[k]= 1;	Dummy[k]= 1;
Line 10095 Dummy[k] 0=dummy (0 1), 1 quantitative (	Line 11370 Dummy[k] 0=dummy (0 1), 1 quantitative (
if((Typevar[k1]==Typevar[k2]) && (Fixed[k1]==Fixed[k2]) && (Dummy[k1]==Dummy[k2] )){	if((Typevar[k1]==Typevar[k2]) && (Fixed[k1]==Fixed[k2]) && (Dummy[k1]==Dummy[k2] )){
if((Typevar[k1] == 0 \|\| Typevar[k1] == 1)){ /* Simple or age product */	if((Typevar[k1] == 0 \|\| Typevar[k1] == 1)){ /* Simple or age product */
if(Tvar[k1]==Tvar[k2]){	if(Tvar[k1]==Tvar[k2]){
printf("Error duplication in the model=%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[k1],Dummy[k1]);	printf("Error duplication in the model=1+age+%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[k1],Dummy[k1]);
fprintf(ficlog,"Error duplication in the model=%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[k1],Dummy[k1]); fflush(ficlog);	fprintf(ficlog,"Error duplication in the model=1+age+%s at positions (+) %d and %d, Tvar[%d]=V%d, Tvar[%d]=V%d, Typevar=%d, Fixed=%d, Dummy=%d\n", model, k1,k2, k1, Tvar[k1], k2, Tvar[k2],Typevar[k1],Fixed[k1],Dummy[k1]); fflush(ficlog);
return(1);	return(1);
}	}
}else if (Typevar[k1] ==2){	}else if (Typevar[k1] ==2){
k3=Tposprod[k1];	k3=Tposprod[k1];
k4=Tposprod[k2];	k4=Tposprod[k2];
if( ((Tvard[k3][1]== Tvard[k4][1])&&(Tvard[k3][2]== Tvard[k4][2])) \|\| ((Tvard[k3][1]== Tvard[k4][2])&&(Tvard[k3][2]== Tvard[k4][1])) ){	if( ((Tvard[k3][1]== Tvard[k4][1])&&(Tvard[k3][2]== Tvard[k4][2])) \|\| ((Tvard[k3][1]== Tvard[k4][2])&&(Tvard[k3][2]== Tvard[k4][1])) ){
printf("Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]);	printf("Error duplication in the model=1+age+%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]);
fprintf(ficlog,"Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); fflush(ficlog);	fprintf(ficlog,"Error duplication in the model=1+age+%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); fflush(ficlog);
return(1);	return(1);
}	}
}	}
Line 10431 void syscompilerinfo(int logged)	Line 11706 void syscompilerinfo(int logged)

int prevalence_limit(double p, double prlim, double ageminpar, double agemaxpar, double ftolpl, int ncvyearp){	int prevalence_limit(double p, double prlim, double ageminpar, double agemaxpar, double ftolpl, int ncvyearp){
/--------------- Prevalence limit (forward period or forward stable prevalence) --------------/	/--------------- Prevalence limit (forward period or forward stable prevalence) --------------/
	/* Computes the prevalence limit for each combination of the dummy covariates */
int i, j, k, i1, k4=0, nres=0 ;	int i, j, k, i1, k4=0, nres=0 ;
/* double ftolpl = 1.e-10; */	/* double ftolpl = 1.e-10; */
double age, agebase, agelim;	double age, agebase, agelim;
Line 10459 int prevalence_limit(double p, double	Line 11735 int prevalence_limit(double p, double
i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */	i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */
if (cptcovn < 1){i1=1;}	if (cptcovn < 1){i1=1;}

for(k=1; k<=i1;k++){ /* For each combination k of dummy covariates in the model */	/* for(k=1; k<=i1;k++){ /\* For each combination k of dummy covariates in the model \/ /
for(nres=1; nres <= nresult; nres++){ /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
if(i1 != 1 && TKresult[nres]!= k)	k=TKresult[nres];
continue;	if(TKresult[nres]==0) k=1; /* To be checked for noresult */
	/* if(i1 != 1 && TKresult[nres]!= k) /\* We found the combination k corresponding to the resultline value of dummies \/ /
	/* continue; */

/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */	/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */
/* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */	/* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */
//for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){	//for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
/* k=k+1; */	/* k=k+1; */
/* to clean */	/* to clean */
//printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));	/printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));/
fprintf(ficrespl,"#******");	fprintf(ficrespl,"#******");
printf("#******");	printf("#******");
fprintf(ficlog,"#******");	fprintf(ficlog,"#******");
for(j=1;j<=cptcoveff ;j++) {/* all covariates */	for(j=1;j<=cptcovs ;j++) {/*< cptcovs number of SIMPLE covariates in the model or resultline V2+V1 =2 (dummy or quantit or time varying) /
fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); /* Here problem for varying dummy*/	/* fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,Tvaraff[j])]); /\* Here problem for varying dummy\/ /
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	/* printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	/* fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
}	fprintf(ficrespl," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */	printf(" V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	fprintf(ficlog," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
fprintf(ficrespl," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	}
fprintf(ficlog," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value \/ /
}	/* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */
	/* fprintf(ficrespl," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */
	/* fprintf(ficlog," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */
	/* } */
fprintf(ficrespl,"******\n");	fprintf(ficrespl,"******\n");
printf("******\n");	printf("******\n");
fprintf(ficlog,"******\n");	fprintf(ficlog,"******\n");
Line 10494 int prevalence_limit(double p, double	Line 11775 int prevalence_limit(double p, double
}	}

fprintf(ficrespl,"#Age ");	fprintf(ficrespl,"#Age ");
for(j=1;j<=cptcoveff;j++) {	/* for(j=1;j<=cptcoveff;j++) { */
fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	/* fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
	/* } */
	for(j=1;j<=cptcovs;j++) { /* New the quanti variable is added */
	fprintf(ficrespl,"V%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
}	}
for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i);	for(i=1; i<=nlstate;i++) fprintf(ficrespl," %d-%d ",i,i);
fprintf(ficrespl,"Total Years_to_converge\n");	fprintf(ficrespl,"Total Years_to_converge\n");

for (age=agebase; age<=agelim; age++){	for (age=agebase; age<=agelim; age++){
/* for (age=agebase; age<=agebase; age++){ */	/* for (age=agebase; age<=agebase; age++){ */
prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k, nres);	/*< Computes the prevalence limit in each live state at age x and for covariate combination (k and) nres /
	prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k, nres); /* Nicely done */
fprintf(ficrespl,"%.0f ",age );	fprintf(ficrespl,"%.0f ",age );
for(j=1;j<=cptcoveff;j++)	/* for(j=1;j<=cptcoveff;j++) */
fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	/* fprintf(ficrespl,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
	for(j=1;j<=cptcovs;j++)
	fprintf(ficrespl,"%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
tot=0.;	tot=0.;
for(i=1; i<=nlstate;i++){	for(i=1; i<=nlstate;i++){
tot += prlim[i][i];	tot += prlim[i][i];
Line 10514 int prevalence_limit(double p, double	Line 11801 int prevalence_limit(double p, double
fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp);	fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp);
} /* Age */	} /* Age */
/* was end of cptcod */	/* was end of cptcod */
} /* cptcov */	} /* nres */
} /* nres */	/* } /\* for each combination \/ /
return 0;	return 0;
}	}

Line 10557 int back_prevalence_limit(double *p, dou	Line 11844 int back_prevalence_limit(double *p, dou
if (cptcovn < 1){i1=1;}	if (cptcovn < 1){i1=1;}

for(nres=1; nres <= nresult; nres++){ /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */	/* for(k=1; k<=i1;k++){ /\* For any combination of dummy covariates, fixed and varying \/ /
if(i1 != 1 && TKresult[nres]!= k)	k=TKresult[nres];
continue;	if(TKresult[nres]==0) k=1; /* To be checked for noresult */
//printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));	/* if(i1 != 1 && TKresult[nres]!= k) */
	/* continue; */
	/* /\printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));\/ */
fprintf(ficresplb,"#******");	fprintf(ficresplb,"#******");
printf("#******");	printf("#******");
fprintf(ficlog,"#******");	fprintf(ficlog,"#******");
for(j=1;j<=cptcoveff ;j++) {/* all covariates */	for(j=1;j<=cptcovs ;j++) {/*< cptcovs number of SIMPLE covariates in the model or resultline V2+V1 =2 (dummy or quantit or time varying) /
fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	printf(" V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	fprintf(ficresplb," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	fprintf(ficlog," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
}	}
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */	/* for(j=1;j<=cptcoveff ;j++) {/\* all covariates \/ /
printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	/* fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
fprintf(ficresplb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	/* printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	/* fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
}	/* } */
	/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value \/ /
	/* printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */
	/* fprintf(ficresplb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */
	/* fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */
	/* } */
fprintf(ficresplb,"******\n");	fprintf(ficresplb,"******\n");
printf("******\n");	printf("******\n");
fprintf(ficlog,"******\n");	fprintf(ficlog,"******\n");
Line 10585 int back_prevalence_limit(double *p, dou	Line 11879 int back_prevalence_limit(double *p, dou
}	}

fprintf(ficresplb,"#Age ");	fprintf(ficresplb,"#Age ");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcovs;j++) {
fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	fprintf(ficresplb,"V%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
}	}
for(i=1; i<=nlstate;i++) fprintf(ficresplb," %d-%d ",i,i);	for(i=1; i<=nlstate;i++) fprintf(ficresplb," %d-%d ",i,i);
fprintf(ficresplb,"Total Years_to_converge\n");	fprintf(ficresplb,"Total Years_to_converge\n");
Line 10609 int back_prevalence_limit(double *p, dou	Line 11903 int back_prevalence_limit(double *p, dou
/* exit(1); */	/* exit(1); */
}	}
fprintf(ficresplb,"%.0f ",age );	fprintf(ficresplb,"%.0f ",age );
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcovs;j++)
fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	fprintf(ficresplb,"%d %lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
tot=0.;	tot=0.;
for(i=1; i<=nlstate;i++){	for(i=1; i<=nlstate;i++){
tot += bprlim[i][i];	tot += bprlim[i][i];
Line 10620 int back_prevalence_limit(double *p, dou	Line 11914 int back_prevalence_limit(double *p, dou
} /* Age */	} /* Age */
/* was end of cptcod */	/* was end of cptcod */
/fprintf(ficresplb,"\n");/ /* Seems to be necessary for gnuplot only if two result lines and no covariate. */	/fprintf(ficresplb,"\n");/ /* Seems to be necessary for gnuplot only if two result lines and no covariate. */
} /* end of any combination */	/* } /\* end of any combination \/ /
} /* end of nres */	} /* end of nres */
/* hBijx(p, bage, fage); */	/* hBijx(p, bage, fage); */
/* fclose(ficrespijb); */	/* fclose(ficrespijb); */
Line 10630 int back_prevalence_limit(double *p, dou	Line 11924 int back_prevalence_limit(double *p, dou

int hPijx(double *p, int bage, int fage){	int hPijx(double *p, int bage, int fage){
/------------- h Pij x at various ages ------------/	/------------- h Pij x at various ages ------------/
	/* to be optimized with precov */
int stepsize;	int stepsize;
int agelim;	int agelim;
int hstepm;	int hstepm;
Line 10640 int hPijx(double *p, int bage, int fage)	Line 11934 int hPijx(double *p, int bage, int fage)
double agedeb;	double agedeb;
double ***p3mat;	double ***p3mat;

strcpy(filerespij,"PIJ_"); strcat(filerespij,fileresu);	strcpy(filerespij,"PIJ_"); strcat(filerespij,fileresu);
if((ficrespij=fopen(filerespij,"w"))==NULL) {	if((ficrespij=fopen(filerespij,"w"))==NULL) {
printf("Problem with Pij resultfile: %s\n", filerespij); return 1;	printf("Problem with Pij resultfile: %s\n", filerespij); return 1;
fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij); return 1;	fprintf(ficlog,"Problem with Pij resultfile: %s\n", filerespij); return 1;
}	}
printf("Computing pij: result on file '%s' \n", filerespij);	printf("Computing pij: result on file '%s' \n", filerespij);
fprintf(ficlog,"Computing pij: result on file '%s' \n", filerespij);	fprintf(ficlog,"Computing pij: result on file '%s' \n", filerespij);

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

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

/* hstepm=1; aff par mois*/	/* hstepm=1; aff par mois*/
pstamp(ficrespij);	pstamp(ficrespij);
fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x ");	fprintf(ficrespij,"#****** h Pij x Probability to be in state j at age x+h being in i at x ");
i1= pow(2,cptcoveff);	i1= pow(2,cptcoveff);
/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */	/* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */
/* /\for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){\/ */	/* /\for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){\/ */
/* k=k+1; */	/* k=k+1; */
for(nres=1; nres <= nresult; nres++) /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
for(k=1; k<=i1;k++){	k=TKresult[nres];
if(i1 != 1 && TKresult[nres]!= k)	if(TKresult[nres]==0) k=1; /* To be checked for noresult */
continue;	/* for(k=1; k<=i1;k++){ */
fprintf(ficrespij,"\n#****** ");	/* if(i1 != 1 && TKresult[nres]!= k) */
for(j=1;j<=cptcoveff;j++)	/* continue; */
fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	fprintf(ficrespij,"\n#****** ");
for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */	for(j=1;j<=cptcovs;j++){
printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	fprintf(ficrespij," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
fprintf(ficrespij," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);	/* fprintf(ficrespij,"@wV%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
}	/* for (k4=1; k4<= nsq; k4++){ /\* For each selected (single) quantitative value \/ /
fprintf(ficrespij,"******\n");	/* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */
	/* fprintf(ficrespij," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */
for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */	}
nhstepm=(int) rint((agelim-agedeb)YEARM/stepm); / Typically 20 years = 2012/6=40 /	fprintf(ficrespij,"******\n");
nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
	for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */
/* nhstepm=nhstepmYEARM; aff par mois/	nhstepm=(int) rint((agelim-agedeb)YEARM/stepm); / Typically 20 years = 2012/6=40 /
	nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
oldm=oldms;savm=savms;	/* nhstepm=nhstepmYEARM; aff par mois/
hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k, nres);
fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j=");	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, nres);
	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(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate+ndeath;j++)	for(j=1; j<=nlstate+ndeath;j++)
fprintf(ficrespij," %1d-%1d",i,j);	fprintf(ficrespij," %.5f", p3mat[i][j][h]);
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");	fprintf(ficrespij,"\n");
}	}
/}/	free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
	fprintf(ficrespij,"\n");
}	}
return 0;	}
	/}/
	return 0;
}	}

int hBijx(double p, int bage, int fage, double **prevacurrent){	int hBijx(double p, int bage, int fage, double **prevacurrent){
/------------- h Bij x at various ages ------------/	/------------- h Bij x at various ages ------------/
	/* To be optimized with precov */
int stepsize;	int stepsize;
/* int agelim; */	/* int agelim; */
int ageminl;	int ageminl;
Line 10742 int hPijx(double *p, int bage, int fage)	Line 12039 int hPijx(double *p, int bage, int fage)
/* /\for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){\/ */	/* /\for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){\/ */
/* k=k+1; */	/* k=k+1; */
for(nres=1; nres <= nresult; nres++){ /* For each resultline */	for(nres=1; nres <= nresult; nres++){ /* For each resultline */
for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */	k=TKresult[nres];
if(i1 != 1 && TKresult[nres]!= k)	if(TKresult[nres]==0) k=1; /* To be checked for noresult */
continue;	/* for(k=1; k<=i1;k++){ /\* For any combination of dummy covariates, fixed and varying \/ /
fprintf(ficrespijb,"\n#****** ");	/* if(i1 != 1 && TKresult[nres]!= k) */
for(j=1;j<=cptcoveff;j++)	/* continue; */
fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	fprintf(ficrespijb,"\n#****** ");
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */	for(j=1;j<=cptcovs;j++){
fprintf(ficrespijb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	fprintf(ficrespijb," V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][Tvresult[nres][j]]);
}	/* for(j=1;j<=cptcoveff;j++) */
fprintf(ficrespijb,"******\n");	/* fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
if(invalidvarcomb[k]){ /* Is it necessary here? */	/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value \/ /
fprintf(ficrespijb,"\n#Combination (%d) ignored because no cases \n",k);	/* fprintf(ficrespijb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */
continue;	}
}	fprintf(ficrespijb,"******\n");
	if(invalidvarcomb[k]){ /* Is it necessary here? */
/* for (agedeb=fage; agedeb>=bage; agedeb--){ /\* If stepm=6 months \/ /	fprintf(ficrespijb,"\n#Combination (%d) ignored because no cases \n",k);
for (agedeb=bage; agedeb<=fage; agedeb++){ /* If stepm=6 months and estepm=24 (2 years) */	continue;
/* nhstepm=(int) rint((agelim-agedeb)YEARM/stepm); /\ Typically 20 years = 2012/6=40 \/ */	}
nhstepm=(int) rint((agedeb-ageminl)YEARM/stepm+0.1)-1; / Typically 20 years = 2012/6=40 or 5512/24=27.5-1.1=>27 */
nhstepm = nhstepm/hstepm; /* Typically 40/4=10, because estepm=24 stepm=6 => hstepm=24/6=4 or 28*/	/* for (agedeb=fage; agedeb>=bage; agedeb--){ /\* If stepm=6 months \/ /
	for (agedeb=bage; agedeb<=fage; agedeb++){ /* If stepm=6 months and estepm=24 (2 years) */
/* nhstepm=nhstepmYEARM; aff par mois/	/* nhstepm=(int) rint((agelim-agedeb)YEARM/stepm); /\ Typically 20 years = 2012/6=40 \/ */
	nhstepm=(int) rint((agedeb-ageminl)YEARM/stepm+0.1)-1; / Typically 20 years = 2012/6=40 or 5512/24=27.5-1.1=>27 */
p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); /* We can't have it at an upper level because of nhstepm */	nhstepm = nhstepm/hstepm; /* Typically 40/4=10, because estepm=24 stepm=6 => hstepm=24/6=4 or 28*/
/* and memory limitations if stepm is small */
	/* nhstepm=nhstepmYEARM; aff par mois/
/* oldm=oldms;savm=savms; */
/* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); */	p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); /* We can't have it at an upper level because of nhstepm */
hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k, nres);	/* and memory limitations if stepm is small */
/* hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm, dnewm, doldm, dsavm, k); */
fprintf(ficrespijb,"# Cov Agex agex-h hbijx with i,j=");	/* oldm=oldms;savm=savms; */
	/* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); */
	hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k, nres);/* Bug valgrind */
	/* hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm, dnewm, doldm, dsavm, k); */
	fprintf(ficrespijb,"# Cov Agex agex-h hbijx with i,j=");
	for(i=1; i<=nlstate;i++)
	for(j=1; j<=nlstate+ndeath;j++)
	fprintf(ficrespijb," %1d-%1d",i,j);
	fprintf(ficrespijb,"\n");
	for (h=0; h<=nhstepm; h++){
	/agedebphstep = agedeb + hhstepm/YEARMstepm;/
	fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb - hhstepm/YEARMstepm );
	/* fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb + hhstepm/YEARMstepm ); */
for(i=1; i<=nlstate;i++)	for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate+ndeath;j++)	for(j=1; j<=nlstate+ndeath;j++)
fprintf(ficrespijb," %1d-%1d",i,j);	fprintf(ficrespijb," %.5f", p3mat[i][j][h]);/* Bug valgrind */
fprintf(ficrespijb,"\n");
for (h=0; h<=nhstepm; h++){
/agedebphstep = agedeb + hhstepm/YEARMstepm;/
fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb - hhstepm/YEARMstepm );
/* fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb + hhstepm/YEARMstepm ); */
for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate+ndeath;j++)
fprintf(ficrespijb," %.5f", p3mat[i][j][h]);
fprintf(ficrespijb,"\n");
}
free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
fprintf(ficrespijb,"\n");	fprintf(ficrespijb,"\n");
} /* end age deb */	}
} /* end combination */	free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
	fprintf(ficrespijb,"\n");
	} /* end age deb */
	/* } /\* end combination \/ /
} /* end nres */	} /* end nres */
return 0;	return 0;
} /* hBijx */	} /* hBijx */
Line 10836 int main(int argc, char *argv[])	Line 12137 int main(int argc, char *argv[])
double dum=0.; /* Dummy variable */	double dum=0.; /* Dummy variable */
double ***p3mat;	double ***p3mat;
/* double **mobaverage; /	/* double **mobaverage; /
	double wald;

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

char modeltemp[MAXLINE];	char modeltemp[MAXLINE];
char resultline[MAXLINE];	char resultline[MAXLINE], resultlineori[MAXLINE];

char pathr[MAXLINE], pathimach[MAXLINE];	char pathr[MAXLINE], pathimach[MAXLINE];
char tok, val; /* pathtot */	char tok, val; /* pathtot */
int firstobs=1, lastobs=10; /* nobs = lastobs-firstobs declared globally ;*/	/* int firstobs=1, lastobs=10; /\* nobs = lastobs-firstobs declared globally ;\/ /
int c, h , cpt, c2;	int c, h , cpt, c2;
int jl=0;	int jl=0;
int i1, j1, jk, stepsize=0;	int i1, j1, jk, stepsize=0;
Line 10872 int main(int argc, char *argv[])	Line 12174 int main(int argc, char *argv[])
double ftolpl=FTOL;	double ftolpl=FTOL;
double **prlim;	double **prlim;
double **bprlim;	double **bprlim;
double **param; / Matrix of parameters */	double **param; / Matrix of parameters, param[i][j][k] param=ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel)
	state of origin, state of destination including death, for each covariate: constante, age, and V1 V2 etc. */
double **paramstart; / Matrix of starting parameter values */	double **paramstart; / Matrix of starting parameter values */
double p, pstart; /* p=param[1][1] pstart is for starting values guessed by freqsummary */	double p, pstart; /* p=param[1][1] pstart is for starting values guessed by freqsummary */
double *matcov; / Matrix of covariance */	double *matcov; / Matrix of covariance */
Line 11082 int main(int argc, char *argv[])	Line 12385 int main(int argc, char *argv[])
noffset=noffset+3;	noffset=noffset+3;
printf("# File is an UTF8 Bom.\n"); // 0xBF	printf("# File is an UTF8 Bom.\n"); // 0xBF
}	}
else if( line[0] == (char)0xFE && line[1] == (char)0xFF)	/* else if( line[0] == (char)0xFE && line[1] == (char)0xFF)*/
	else if( line[0] == (char)0xFF && line[1] == (char)0xFE)
{	{
noffset=noffset+2;	noffset=noffset+2;
printf("# File is an UTF16BE BOM file\n");	printf("# File is an UTF16BE BOM file\n");
Line 11170 int main(int argc, char *argv[])	Line 12474 int main(int argc, char *argv[])
}	}
if((num_filled=sscanf(line,"model=1+age%[^.\n]", model)) !=EOF){	if((num_filled=sscanf(line,"model=1+age%[^.\n]", model)) !=EOF){
if (num_filled != 1){	if (num_filled != 1){
printf("ERROR %d: Model should be at minimum 'model=1+age' %s\n",num_filled, line);	printf("ERROR %d: Model should be at minimum 'model=1+age+' instead of '%s'\n",num_filled, line);
fprintf(ficlog,"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+' instead of '%s'\n",num_filled, line);
model[0]='\0';	model[0]='\0';
goto end;	goto end;
}	}
Line 11182 int main(int argc, char *argv[])	Line 12486 int main(int argc, char *argv[])
strcpy(model,modeltemp);	strcpy(model,modeltemp);
}	}
}	}
/* printf(" model=1+age%s modeltemp= %s, model=%s\n",model, modeltemp, model);fflush(stdout); */	/* printf(" model=1+age%s modeltemp= %s, model=1+age+%s\n",model, modeltemp, model);fflush(stdout); */
printf("model=1+age+%s\n",model);fflush(stdout);	printf("model=1+age+%s\n",model);fflush(stdout);
fprintf(ficparo,"model=1+age+%s\n",model);fflush(stdout);	fprintf(ficparo,"model=1+age+%s\n",model);fflush(stdout);
fprintf(ficres,"model=1+age+%s\n",model);fflush(stdout);	fprintf(ficres,"model=1+age+%s\n",model);fflush(stdout);
Line 11224 int main(int argc, char *argv[])	Line 12528 int main(int argc, char *argv[])
if(nqv>=1)coqvar=matrix(1,nqv,firstobs,lastobs); /*< Fixed quantitative covariate /	if(nqv>=1)coqvar=matrix(1,nqv,firstobs,lastobs); /*< Fixed quantitative covariate /
if(nqtv>=1)cotqvar=ma3x(1,maxwav,1,nqtv,firstobs,lastobs); /*< Time varying quantitative covariate /	if(nqtv>=1)cotqvar=ma3x(1,maxwav,1,nqtv,firstobs,lastobs); /*< Time varying quantitative covariate /
if(ntv+nqtv>=1)cotvar=ma3x(1,maxwav,1,ntv+nqtv,firstobs,lastobs); /*< Time varying covariate (dummy and quantitative)/	if(ntv+nqtv>=1)cotvar=ma3x(1,maxwav,1,ntv+nqtv,firstobs,lastobs); /*< Time varying covariate (dummy and quantitative)/
	/* if(ntv+nqtv>=1)cotvar=ma3x(1,maxwav,ncovcol+nqv+1,ncovcol+nqv+ntv+nqtv,firstobs,lastobs); /\*< Might be better \/ */
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
Line 11465 Please run with mle=-1 to get a correct	Line 12770 Please run with mle=-1 to get a correct
}	}
mint=matrix(1,maxwav,firstobs,lastobs);	mint=matrix(1,maxwav,firstobs,lastobs);
anint=matrix(1,maxwav,firstobs,lastobs);	anint=matrix(1,maxwav,firstobs,lastobs);
s=imatrix(1,maxwav+1,firstobs,lastobs); /* s[i][j] health state for wave i and individual j */	s=imatrix(1,maxwav+1,firstobs,lastobs); /* s[i][j] health state for wave i and individual j */
	/* printf("BUG ncovmodel=%d NCOVMAX=%d 2*ncovmodel=%f BUG\n",ncovmodel,NCOVMAX,pow(2,ncovmodel)); /
tab=ivector(1,NCOVMAX);	tab=ivector(1,NCOVMAX);
ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2*ncov; V1+V2+V3+V4=>16 /	ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2*ncov; V1+V2+V3+V4=>16 /
ncodemaxwundef=ivector(1,NCOVMAX); /* Number of code per covariate; if - 1 O and 1 only, 2*ncov; V1+V2+V3+V4=>16 /	ncodemaxwundef=ivector(1,NCOVMAX); /* Number of code per covariate; if - 1 O and 1 only, 2*ncov; V1+V2+V3+V4=>16 /
Line 11484 Please run with mle=-1 to get a correct	Line 12790 Please run with mle=-1 to get a correct

Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */	Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */
TvarsDind=ivector(1,NCOVMAX); /* */	TvarsDind=ivector(1,NCOVMAX); /* */
	TnsdVar=ivector(1,NCOVMAX); /* */
	/* for(i=1; i<=NCOVMAX;i++) TnsdVar[i]=3; */
TvarsD=ivector(1,NCOVMAX); /* */	TvarsD=ivector(1,NCOVMAX); /* */
TvarsQind=ivector(1,NCOVMAX); /* */	TvarsQind=ivector(1,NCOVMAX); /* */
TvarsQ=ivector(1,NCOVMAX); /* */	TvarsQ=ivector(1,NCOVMAX); /* */
Line 11501 Please run with mle=-1 to get a correct	Line 12809 Please run with mle=-1 to get a correct
TvarVDind=ivector(1,NCOVMAX); /* */	TvarVDind=ivector(1,NCOVMAX); /* */
TvarVQ=ivector(1,NCOVMAX); /* */	TvarVQ=ivector(1,NCOVMAX); /* */
TvarVQind=ivector(1,NCOVMAX); /* */	TvarVQind=ivector(1,NCOVMAX); /* */
	TvarVV=ivector(1,NCOVMAX); /* */
	TvarVVind=ivector(1,NCOVMAX); /* */

Tvalsel=vector(1,NCOVMAX); /* */	Tvalsel=vector(1,NCOVMAX); /* */
Tvarsel=ivector(1,NCOVMAX); /* */	Tvarsel=ivector(1,NCOVMAX); /* */
Line 11526 Please run with mle=-1 to get a correct	Line 12836 Please run with mle=-1 to get a correct
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	Tvard=imatrix(1,NCOVMAX,1,2); /* n=Tvard[k1][1] and m=Tvard[k1][2] gives the couple n,m of the k1 th product Vn*Vm
* For V3V2 (in V2+V1+V1V4+ageV3+V3V2), V3*V2 position is 2nd.	* For V3V2 (in V2+V1+V1V4+ageV3+V3V2), V3*V2 position is 2nd.
* Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */	* Tvard[k1=2][1]=3 (V3) Tvard[k1=2][2]=2(V2) */
	Tvardk=imatrix(1,NCOVMAX,1,2);
Tage=ivector(1,NCOVMAX); /* Gives the covariate id of covariates associated with age: V2 + V1 + ageV4 + V3age	Tage=ivector(1,NCOVMAX); /* Gives the covariate id of covariates associated with age: V2 + V1 + ageV4 + V3age
4 covariates (3 plus signs)	4 covariates (3 plus signs)
Tage[1=V3age]= 4; Tage[2=ageV4] = 3	Tage[1=V3age]= 4; Tage[2=ageV4] = 3
*/	*/
	for(i=1;i<NCOVMAX;i++)
	Tage[i]=0;
Tmodelind=ivector(1,NCOVMAX);/** gives the k model position of an	Tmodelind=ivector(1,NCOVMAX);/** gives the k model position of an
* individual dummy, fixed or varying:	* individual dummy, fixed or varying:
* Tmodelind[Tvaraff[3]]=9,Tvaraff[1]@9={4,	* Tmodelind[Tvaraff[3]]=9,Tvaraff[1]@9={4,
Line 11603 Please run with mle=-1 to get a correct	Line 12916 Please run with mle=-1 to get a correct
Ndum =ivector(-1,NCOVMAX);	Ndum =ivector(-1,NCOVMAX);
cptcoveff=0;	cptcoveff=0;
if (ncovmodel-nagesqr > 2 ){ /* That is if covariate other than cst, age and ageage /	if (ncovmodel-nagesqr > 2 ){ /* That is if covariate other than cst, age and ageage /
tricode(&cptcoveff,Tvar,nbcode,imx, Ndum); /*< Fills nbcode[Tvar[j]][l]; /	tricode(&cptcoveff,Tvar,nbcode,imx, Ndum); /*< Fills nbcode[Tvar[j]][l]; as well as calculate cptcoveff or number of total effective dummy covariates/
}	}

ncovcombmax=pow(2,cptcoveff);	ncovcombmax=pow(2,cptcoveff);
invalidvarcomb=ivector(1, ncovcombmax);	invalidvarcomb=ivector(0, ncovcombmax);
for(i=1;i<ncovcombmax;i++)	for(i=0;i<ncovcombmax;i++)
invalidvarcomb[i]=0;	invalidvarcomb[i]=0;

/* Nbcode gives the value of the lth modality (currently 1 to 2) of jth covariate, in	/* Nbcode gives the value of the lth modality (currently 1 to 2) of jth covariate, in
Line 11633 Please run with mle=-1 to get a correct	Line 12946 Please run with mle=-1 to get a correct
* For k=4 covariates, h goes from 1 to m=2**k	* For k=4 covariates, h goes from 1 to m=2**k
* codtabm(h,k)= (1 & (h-1) >> (k-1)) + 1;	* codtabm(h,k)= (1 & (h-1) >> (k-1)) + 1;
* #define codtabm(h,k) (1 & (h-1) >> (k-1))+1	* #define codtabm(h,k) (1 & (h-1) >> (k-1))+1
* h\k 1 2 3 4	* h\k 1 2 3 4 * h-1\k-1 4 3 2 1
*______________________________	______________________________ ______________________
* 1 i=1 1 i=1 1 i=1 1 i=1 1	* 1 i=1 1 i=1 1 i=1 1 i=1 1 * 0 0 0 0 0
* 2 2 1 1 1	* 2 2 1 1 1 * 1 0 0 0 1
* 3 i=2 1 2 1 1	* 3 i=2 1 2 1 1 * 2 0 0 1 0
* 4 2 2 1 1	* 4 2 2 1 1 * 3 0 0 1 1
* 5 i=3 1 i=2 1 2 1	* 5 i=3 1 i=2 1 2 1 * 4 0 1 0 0
* 6 2 1 2 1	* 6 2 1 2 1 * 5 0 1 0 1
* 7 i=4 1 2 2 1	* 7 i=4 1 2 2 1 * 6 0 1 1 0
* 8 2 2 2 1	* 8 2 2 2 1 * 7 0 1 1 1
* 9 i=5 1 i=3 1 i=2 1 2	* 9 i=5 1 i=3 1 i=2 1 2 * 8 1 0 0 0
* 10 2 1 1 2	* 10 2 1 1 2 * 9 1 0 0 1
* 11 i=6 1 2 1 2	* 11 i=6 1 2 1 2 * 10 1 0 1 0
* 12 2 2 1 2	* 12 2 2 1 2 * 11 1 0 1 1
* 13 i=7 1 i=4 1 2 2	* 13 i=7 1 i=4 1 2 2 * 12 1 1 0 0
* 14 2 1 2 2	* 14 2 1 2 2 * 13 1 1 0 1
* 15 i=8 1 2 2 2	* 15 i=8 1 2 2 2 * 14 1 1 1 0
* 16 2 2 2 2	* 16 2 2 2 2 * 15 1 1 1 1
*/	*/
/* How to do the opposite? From combination h (=1 to 2*k) how to get the value on the covariates? /	/* How to do the opposite? From combination h (=1 to 2*k) how to get the value on the covariates? /
/* from h=5 and m, we get then number of covariates k=log(m)/log(2)=4	/* from h=5 and m, we get then number of covariates k=log(m)/log(2)=4
* and the value of each covariate?	* and the value of each covariate?
Line 11742 Title=%s <br>Datafile=%s Firstpass=%d La	Line 13055 Title=%s <br>Datafile=%s Firstpass=%d La
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<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-2013-2016-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 2015-2018</a></font><br> \	fprintf(fichtm,"<html><head>\n<meta charset=\"utf-8\"/><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n\
<hr size=\"2\" color=\"#EC5E5E\"> \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-2013-2022-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 2015-2018</a></font><br> \n", optionfilehtm);

	fprintf(fichtm,"<hr size=\"2\" color=\"#EC5E5E\"> \n\
<font size=\"2\">IMaCh-%s <br> %s</font> \	<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=1+age+%s<br>\n\	This file: <a href=\"%s\">%s</a></br>Title=%s <br>Datafile=<a href=\"%s\">%s</a> 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 11755 Title=%s <br>Datafile=%s Firstpass=%d La	Line 13075 Title=%s <br>Datafile=%s Firstpass=%d La
- Log file of the run: <a href=\"%s\">%s</a><br>\n\	- Log file of the run: <a href=\"%s\">%s</a><br>\n\
- Gnuplot file name: <a href=\"%s\">%s</a><br>\n\	- Gnuplot file name: <a href=\"%s\">%s</a><br>\n\
- Date and time at start: %s</ul>\n",\	- Date and time at start: %s</ul>\n",\
optionfilehtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model,\	version,fullversion,optionfilehtm,optionfilehtm,title,datafile,datafile,firstpass,lastpass,stepm, weightopt, model, \
optionfilefiname,optionfilext,optionfilefiname,optionfilext,\	optionfilefiname,optionfilext,optionfilefiname,optionfilext,\
fileres,fileres,\	fileres,fileres,\
filelog,filelog,optionfilegnuplot,optionfilegnuplot,strstart);	filelog,filelog,optionfilegnuplot,optionfilegnuplot,strstart);
Line 11798 Title=%s <br>Datafile=%s Firstpass=%d La	Line 13118 Title=%s <br>Datafile=%s Firstpass=%d La
<img src=\"%s_.svg\">", subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_"));	<img src=\"%s_.svg\">", subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_"),subdirf2(optionfilefiname,"D_"));


fprintf(fichtm,"\n<h4>Some descriptive statistics </h4>\n<br>Total number of observations=%d <br>\n\	fprintf(fichtm,"\n<h4>Some descriptive statistics </h4>\n<br>Number of (used) observations=%d <br>\n\
Youngest age at first (selected) pass %.2f, oldest age %.2f<br>\n\	Youngest age at first (selected) pass %.2f, oldest age %.2f<br>\n\
Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n",\	Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf<br>\n",\
imx,agemin,agemax,jmin,jmax,jmean);	imx,agemin,agemax,jmin,jmax,jmean);
Line 11857 Interval (in months) between two waves:	Line 13177 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
Line 11984 Interval (in months) between two waves:	Line 13304 Interval (in months) between two waves:
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]));	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(agegomp,AGESUP);
lpop=vector(1,AGESUP);	lpop=vector(agegomp,AGESUP);
tpop=vector(1,AGESUP);	tpop=vector(agegomp,AGESUP);
lsurv[agegomp]=100000;	lsurv[agegomp]=100000;

for (k=agegomp;k<=AGESUP;k++) {	for (k=agegomp;k<=AGESUP;k++) {
Line 12033 Please run with mle=-1 to get a correct	Line 13353 Please run with mle=-1 to get a correct
stepm, weightopt,\	stepm, weightopt,\
model,imx,p,matcov,agemortsup);	model,imx,p,matcov,agemortsup);

free_vector(lsurv,1,AGESUP);	free_vector(lsurv,agegomp,AGESUP);
free_vector(lpop,1,AGESUP);	free_vector(lpop,agegomp,AGESUP);
free_vector(tpop,1,AGESUP);	free_vector(tpop,agegomp,AGESUP);
free_matrix(ximort,1,NDIM,1,NDIM);	free_matrix(ximort,1,NDIM,1,NDIM);
free_ivector(dcwave,firstobs,lastobs);	free_ivector(dcwave,firstobs,lastobs);
free_vector(agecens,firstobs,lastobs);	free_vector(agecens,firstobs,lastobs);
Line 12069 Please run with mle=-1 to get a correct	Line 13389 Please run with mle=-1 to get a correct
globpr=1; /* again, to print the individual contributions using computed gpimx and gsw */	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);
	/* exit(0); */
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");
Line 12078 Please run with mle=-1 to get a correct	Line 13399 Please run with mle=-1 to get a correct


fprintf(ficres,"# Parameters nlstatenlstatencov a121 + b12 age + ...\n");	fprintf(ficres,"# Parameters nlstatenlstatencov a121 + b12 age + ...\n");
printf("# Parameters nlstatenlstatencov a121 + b12 age + ...\n");	printf("# Parameters nlstatenlstatencov a121 + b12 age + ...\n"); /* Printing model equation */
fprintf(ficlog,"# Parameters nlstatenlstatencov a121 + b12 age + ...\n");	fprintf(ficlog,"# Parameters nlstatenlstatencov a121 + b12 age + ...\n");

	printf("#model= 1 + age ");
	fprintf(ficres,"#model= 1 + age ");
	fprintf(ficlog,"#model= 1 + age ");
	fprintf(fichtm,"\n<ul><li> model=1+age+%s\n \
	</ul>", model);

	fprintf(fichtm,"\n<table style=\"text-align:center; border: 1px solid\">\n");
	fprintf(fichtm, "<tr><th>Model=</th><th>1</th><th>+ age</th>");
	if(nagesqr==1){
	printf(" + age*age ");
	fprintf(ficres," + age*age ");
	fprintf(ficlog," + age*age ");
	fprintf(fichtm, "<th>+ age*age</th>");
	}
	for(j=1;j <=ncovmodel-2;j++){
	if(Typevar[j]==0) {
	printf(" + V%d ",Tvar[j]);
	fprintf(ficres," + V%d ",Tvar[j]);
	fprintf(ficlog," + V%d ",Tvar[j]);
	fprintf(fichtm, "<th>+ V%d</th>",Tvar[j]);
	}else if(Typevar[j]==1) {
	printf(" + V%d*age ",Tvar[j]);
	fprintf(ficres," + V%d*age ",Tvar[j]);
	fprintf(ficlog," + V%d*age ",Tvar[j]);
	fprintf(fichtm, "<th>+ V%d*age</th>",Tvar[j]);
	}else if(Typevar[j]==2) {
	printf(" + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]);
	fprintf(ficres," + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]);
	fprintf(ficlog," + V%d*V%d ",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]);
	fprintf(fichtm, "<th>+ V%d*V%d</th>",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]);
	}
	}
	printf("\n");
	fprintf(ficres,"\n");
	fprintf(ficlog,"\n");
	fprintf(fichtm, "</tr>");
	fprintf(fichtm, "\n");


for(i=1,jk=1; i <=nlstate; i++){	for(i=1,jk=1; i <=nlstate; i++){
for(k=1; k <=(nlstate+ndeath); k++){	for(k=1; k <=(nlstate+ndeath); k++){
if (k != i) {	if (k != i) {
	fprintf(fichtm, "<tr>");
printf("%d%d ",i,k);	printf("%d%d ",i,k);
fprintf(ficlog,"%d%d ",i,k);	fprintf(ficlog,"%d%d ",i,k);
fprintf(ficres,"%1d%1d ",i,k);	fprintf(ficres,"%1d%1d ",i,k);
	fprintf(fichtm, "<td>%1d%1d</td>",i,k);
for(j=1; j <=ncovmodel; j++){	for(j=1; j <=ncovmodel; j++){
printf("%12.7f ",p[jk]);	printf("%12.7f ",p[jk]);
fprintf(ficlog,"%12.7f ",p[jk]);	fprintf(ficlog,"%12.7f ",p[jk]);
fprintf(ficres,"%12.7f ",p[jk]);	fprintf(ficres,"%12.7f ",p[jk]);
	fprintf(fichtm, "<td>%12.7f</td>",p[jk]);
jk++;	jk++;
}	}
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
fprintf(ficres,"\n");	fprintf(ficres,"\n");
	fprintf(fichtm, "</tr>\n");
}	}
}	}
}	}
	/* fprintf(fichtm,"</tr>\n"); */
	fprintf(fichtm,"</table>\n");
	fprintf(fichtm, "\n");

if(mle != 0){	if(mle != 0){
/* Computing hessian and covariance matrix only at a peak of the Likelihood, that is after optimization */	/* 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, hess, 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");	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");	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");
	fprintf(fichtm, "\n<p>The Wald test results are output only if the maximimzation of the Likelihood is performed (mle=1)\n</br>Parameters, Wald tests and Wald-based confidence intervals\n</br> W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n</br> And Wald-based confidence intervals plus and minus 1.96 * W \n </br> It might be better to visualize the covariance matrix. See the page '<a href=\"%s\">Matrix of variance-covariance of one-step probabilities and its graphs</a>'.\n</br>",optionfilehtmcov);
	fprintf(fichtm,"\n<table style=\"text-align:center; border: 1px solid\">");
	fprintf(fichtm, "\n<tr><th>Model=</th><th>1</th><th>+ age</th>");
	if(nagesqr==1){
	printf(" + age*age ");
	fprintf(ficres," + age*age ");
	fprintf(ficlog," + age*age ");
	fprintf(fichtm, "<th>+ age*age</th>");
	}
	for(j=1;j <=ncovmodel-2;j++){
	if(Typevar[j]==0) {
	printf(" + V%d ",Tvar[j]);
	fprintf(fichtm, "<th>+ V%d</th>",Tvar[j]);
	}else if(Typevar[j]==1) {
	printf(" + V%d*age ",Tvar[j]);
	fprintf(fichtm, "<th>+ V%d*age</th>",Tvar[j]);
	}else if(Typevar[j]==2) {
	fprintf(fichtm, "<th>+ V%d*V%d</th>",Tvard[Tposprod[j]][1],Tvard[Tposprod[j]][2]);
	}
	}
	fprintf(fichtm, "</tr>\n");

for(i=1,jk=1; i <=nlstate; i++){	for(i=1,jk=1; i <=nlstate; i++){
for(k=1; k <=(nlstate+ndeath); k++){	for(k=1; k <=(nlstate+ndeath); k++){
if (k != i) {	if (k != i) {
	fprintf(fichtm, "<tr valign=top>");
printf("%d%d ",i,k);	printf("%d%d ",i,k);
fprintf(ficlog,"%d%d ",i,k);	fprintf(ficlog,"%d%d ",i,k);
	fprintf(fichtm, "<td>%1d%1d</td>",i,k);
for(j=1; j <=ncovmodel; j++){	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]));	wald=p[jk]/sqrt(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]));	printf("%12.7f(%12.7f) W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][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(%12.7f) W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][jk]), p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96sqrt(matcov[jk][jk]),p[jk]+1.96sqrt(matcov[jk][jk]));
	if(fabs(wald) > 1.96){
	fprintf(fichtm, "<td><b>%12.7f</b></br> (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk]));
	}else{
	fprintf(fichtm, "<td>%12.7f (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk]));
	}
	fprintf(fichtm,"W=%8.3f</br>",wald);
	fprintf(fichtm,"[%12.7f;%12.7f]</br></td>", p[jk]-1.96sqrt(matcov[jk][jk]),p[jk]+1.96sqrt(matcov[jk][jk]));
jk++;	jk++;
}	}
printf("\n");	printf("\n");
fprintf(ficlog,"\n");	fprintf(ficlog,"\n");
	fprintf(fichtm, "</tr>\n");
}	}
}	}
}	}
} /* end of hesscov and Wald tests */	} /* end of hesscov and Wald tests */
	fprintf(fichtm,"</table>\n");

/* */	/* */
fprintf(ficres,"# Scales (for hessian or gradient estimation)\n");	fprintf(ficres,"# Scales (for hessian or gradient estimation)\n");
Line 12331 Please run with mle=-1 to get a correct	Line 13734 Please run with mle=-1 to get a correct
}	}

/* Results */	/* Results */
	/* Value of covariate in each resultine will be compututed (if product) and sorted according to model rank */
	/* It is precov[] because we need the varying age in order to compute the real cov[] of the model equation */
	precov=matrix(1,MAXRESULTLINESPONE,1,NCOVMAX+1);
	endishere=0;
nresult=0;	nresult=0;
	parameterline=0;
do{	do{
if(!fgets(line, MAXLINE, ficpar)){	if(!fgets(line, MAXLINE, ficpar)){
endishere=1;	endishere=1;
parameterline=14;	parameterline=15;
}else if (line[0] == '#') {	}else if (line[0] == '#') {
/* If line starts with a # it is a comment */	/* If line starts with a # it is a comment */
numlinepar++;	numlinepar++;
Line 12348 Please run with mle=-1 to get a correct	Line 13756 Please run with mle=-1 to get a correct
parameterline=11;	parameterline=11;
else if(sscanf(line,"prevbackcast=%[^\n]\n",modeltemp))	else if(sscanf(line,"prevbackcast=%[^\n]\n",modeltemp))
parameterline=12;	parameterline=12;
else if(sscanf(line,"result:%[^\n]\n",modeltemp))	else if(sscanf(line,"result:%[^\n]\n",modeltemp)){
parameterline=13;	parameterline=13;
	}
else{	else{
parameterline=14;	parameterline=14;
}	}
switch (parameterline){	switch (parameterline){ /* =0 only if only comments */
case 11:	case 11:
if((num_filled=sscanf(line,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj)) !=EOF && (num_filled == 8)){	if((num_filled=sscanf(line,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj)) !=EOF && (num_filled == 8)){
fprintf(ficparo,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);	fprintf(ficparo,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
Line 12366 Please run with mle=-1 to get a correct	Line 13775 Please run with mle=-1 to get a correct
prvforecast = 1;	prvforecast = 1;
}	}
else if((num_filled=sscanf(line,"prevforecast=%d yearsfproj=%lf mobil_average=%d\n",&prevfcast,&yrfproj,&mobilavproj)) !=EOF){/* && (num_filled == 3))*/	else if((num_filled=sscanf(line,"prevforecast=%d yearsfproj=%lf mobil_average=%d\n",&prevfcast,&yrfproj,&mobilavproj)) !=EOF){/* && (num_filled == 3))*/
printf("prevforecast=%d yearsfproj=%lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj);	printf("prevforecast=%d yearsfproj=%.2lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj);
fprintf(ficlog,"prevforecast=%d yearsfproj=%lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj);	fprintf(ficlog,"prevforecast=%d yearsfproj=%.2lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj);
fprintf(ficres,"prevforecast=%d yearsfproj=%lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj);	fprintf(ficres,"prevforecast=%d yearsfproj=%.2lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj);
prvforecast = 2;	prvforecast = 2;
}	}
else {	else {
Line 12389 Please run with mle=-1 to get a correct	Line 13798 Please run with mle=-1 to get a correct
prvbackcast = 1;	prvbackcast = 1;
}	}
else if((num_filled=sscanf(line,"prevbackcast=%d yearsbproj=%lf mobil_average=%d\n",&prevbcast,&yrbproj,&mobilavproj)) ==3){/* && (num_filled == 3))*/	else if((num_filled=sscanf(line,"prevbackcast=%d yearsbproj=%lf mobil_average=%d\n",&prevbcast,&yrbproj,&mobilavproj)) ==3){/* && (num_filled == 3))*/
printf("prevbackcast=%d yearsbproj=%lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);	printf("prevbackcast=%d yearsbproj=%.2lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);
fprintf(ficlog,"prevbackcast=%d yearsfproj=%lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);	fprintf(ficlog,"prevbackcast=%d yearsbproj=%.2lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);
fprintf(ficres,"prevbackcast=%d yearsfproj=%lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);	fprintf(ficres,"prevbackcast=%d yearsbproj=%.2lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);
prvbackcast = 2;	prvbackcast = 2;
}	}
else {	else {
Line 12401 Please run with mle=-1 to get a correct	Line 13810 Please run with mle=-1 to get a correct
}	}
break;	break;
case 13:	case 13:
if((num_filled=sscanf(line,"result:%[^\n]\n",resultline)) !=EOF){	num_filled=sscanf(line,"result:%[^\n]\n",resultlineori);
if (num_filled == 0){	nresult++; /* Sum of resultlines */
resultline[0]='\0';	printf("Result %d: result:%s\n",nresult, resultlineori);
printf("Warning %d: no result line! It should be at minimum 'result: V2=0 V1=1 or result:.\n%s\n", num_filled, line);	/* removefirstspace(&resultlineori); */
fprintf(ficlog,"Warning %d: no result line! It should be at minimum 'result: V2=0 V1=1 or result:.\n%s\n", num_filled, line);
break;	if(strstr(resultlineori,"v") !=0){
} else if (num_filled != 1){	printf("Error. 'v' must be in upper case 'V' result: %s ",resultlineori);
printf("ERROR %d: result line! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",num_filled, line);	fprintf(ficlog,"Error. 'v' must be in upper case result: %s ",resultlineori);fflush(ficlog);
fprintf(ficlog,"ERROR %d: result line! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",num_filled, line);	return 1;
}	}
nresult++; /* Sum of resultlines */	trimbb(resultline, resultlineori); /* Suppressing double blank in the resultline */
printf("Result %d: result=%s\n",nresult, resultline);	printf("Decoderesult resultline=\"%s\" resultlineori=\"%s\"\n", resultline, resultlineori);
if(nresult > MAXRESULTLINES){	if(nresult > MAXRESULTLINESPONE-1){
printf("ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\n",MAXRESULTLINES,nresult);	printf("ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\nYou can use the 'r' parameter file '%s' which uses option mle=0 to get other results. ",MAXRESULTLINESPONE-1,nresult,rfileres);
fprintf(ficlog,"ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\n",MAXRESULTLINES,nresult);	fprintf(ficlog,"ERROR: Current version of IMaCh limits the number of resultlines to %d, you used %d\nYou can use the 'r' parameter file '%s' which uses option mle=0 to get other results. ",MAXRESULTLINESPONE-1,nresult,rfileres);
goto end;	goto end;
}	}
decoderesult(resultline, nresult); /* Fills TKresult[nresult] combination and Tresult[nresult][k4+1] combination values */
	if(!decoderesult(resultline, nresult)){ /* Fills TKresult[nresult] combination and Tresult[nresult][k4+1] combination values */
fprintf(ficparo,"result: %s\n",resultline);	fprintf(ficparo,"result: %s\n",resultline);
fprintf(ficres,"result: %s\n",resultline);	fprintf(ficres,"result: %s\n",resultline);
fprintf(ficlog,"result: %s\n",resultline);	fprintf(ficlog,"result: %s\n",resultline);
break;	} else
case 14:	goto end;
if(ncovmodel >2 && nresult==0 ){	break;
printf("ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line);	case 14:
goto end;	printf("Error: Unknown command '%s'\n",line);
}	fprintf(ficlog,"Error: Unknown command '%s'\n",line);
break;	if(line[0] == ' ' \|\| line[0] == '\n'){
default:	printf("It should not be an empty line '%s'\n",line);
nresult=1;	fprintf(ficlog,"It should not be an empty line '%s'\n",line);
decoderesult(".",nresult ); /* No covariate */	}
	if(ncovmodel >=2 && nresult==0 ){
	printf("ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line);
	fprintf(ficlog,"ERROR: no result lines! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",line);
}	}
	/* goto end; */
	break;
	case 15:
	printf("End of resultlines.\n");
	fprintf(ficlog,"End of resultlines.\n");
	break;
	default: /* parameterline =0 */
	nresult=1;
	decoderesult(".",nresult ); /* No covariate */
} /* End switch parameterline */	} /* End switch parameterline */
}while(endishere==0); /* End do */	}while(endishere==0); /* End do */

Line 12509 Please run with mle=-1 to get a correct	Line 13931 Please run with mle=-1 to get a correct
/--------------- Prevalence limit (period or stable prevalence) --------------/	/--------------- Prevalence limit (period or stable prevalence) --------------/
/#include "prevlim.h"/ /* Use ficrespl, ficlog */	/#include "prevlim.h"/ /* Use ficrespl, ficlog */
prlim=matrix(1,nlstate,1,nlstate);	prlim=matrix(1,nlstate,1,nlstate);
	/* Computes the prevalence limit for each combination k of the dummy covariates by calling prevalim(k) */
prevalence_limit(p, prlim, ageminpar, agemaxpar, ftolpl, &ncvyear);	prevalence_limit(p, prlim, ageminpar, agemaxpar, ftolpl, &ncvyear);
fclose(ficrespl);	fclose(ficrespl);

/------------- h Pij x at various ages ------------/	/------------- h Pij x at various ages ------------/
/#include "hpijx.h"/	/#include "hpijx.h"/
	/** h Pij x Probability to be in state j at age x+h being in i at x, for each combination k of dummies in the model line or to nres?*/
	/* calls hpxij with combination k */
hPijx(p, bage, fage);	hPijx(p, bage, fage);
fclose(ficrespij);	fclose(ficrespij);

/* ncovcombmax= pow(2,cptcoveff); */	/* ncovcombmax= pow(2,cptcoveff); */
/-------------- Variance of one-step probabilities---/	/-------------- Variance of one-step probabilities for a combination ij or for nres ?---/
k=1;	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);

Line 12639 Please run with mle=-1 to get a correct	Line 14064 Please run with mle=-1 to get a correct
fprintf(ficreseij,"\n#****** ");	fprintf(ficreseij,"\n#****** ");
printf("\n#****** ");	printf("\n#****** ");
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcoveff;j++) {
fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]);
printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]);
}	}
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */	for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */
printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	printf(" V%d=%lg ",TvarsQ[j], TinvDoQresult[nres][TvarsQ[j]]); /* TvarsQ[j] gives the name of the jth quantitative (fixed or time v) */
fprintf(ficreseij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	fprintf(ficreseij,"V%d=%lg ",TvarsQ[j], TinvDoQresult[nres][TvarsQ[j]]);
}	}
fprintf(ficreseij,"******\n");	fprintf(ficreseij,"******\n");
printf("******\n");	printf("******\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;
	/* printf("HELLO Entering evsij bage=%d fage=%d k=%d estepm=%d nres=%d\n",(int) bage, (int)fage, k, estepm, nres); */
evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart, nres);	evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart, nres);

free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);	free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
Line 12661 Please run with mle=-1 to get a correct	Line 14087 Please run with mle=-1 to get a correct


/---------- State-specific expectancies and variances ------------/	/---------- State-specific expectancies and variances ------------/
	/* Should be moved in a function */
strcpy(filerest,"T_");	strcpy(filerest,"T_");
strcat(filerest,fileresu);	strcat(filerest,fileresu);
if((ficrest=fopen(filerest,"w"))==NULL) {	if((ficrest=fopen(filerest,"w"))==NULL) {
Line 12700 Please run with mle=-1 to get a correct	Line 14126 Please run with mle=-1 to get a correct
i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */	i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */
if (cptcovn < 1){i1=1;}	if (cptcovn < 1){i1=1;}

for(nres=1; nres <= nresult; nres++) /* For each resultline */	for(nres=1; nres <= nresult; nres++) /* For each resultline, find the combination and output results according to the values of dummies and then quanti. */
for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */	for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying. For each nres and each value at position k
if(i1 != 1 && TKresult[nres]!= k)	* we know Tresult[nres][result_position]= value of the dummy variable at the result_position in the nres resultline
	* Tvqresult[nres][result_position]= id of the variable at the result_position in the nres resultline
	* and Tqresult[nres][result_position]= value of the variable at the result_position in the nres resultline */
	/* */
	if(i1 != 1 && TKresult[nres]!= k) /* TKresult[nres] is the combination of this nres resultline. All the i1 combinations are not output */
continue;	continue;
printf("\n#****** Result for:");	printf("\n# model %s \n#****** Result for:", model);
fprintf(ficrest,"\n#****** Result for:");	fprintf(ficrest,"\n# model %s \n#****** Result for:", model);
fprintf(ficlog,"\n#****** Result for:");	fprintf(ficlog,"\n# model %s \n#****** Result for:", model);
for(j=1;j<=cptcoveff;j++){	/* It might not be a good idea to mix dummies and quantitative */
printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	/* for(j=1;j<=cptcoveff;j++){ /\* j=resultpos. Could be a loop on cptcovs: number of single dummy covariate in the result line as well as in the model \/ /
fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	for(j=1;j<=cptcovs;j++){ /* j=resultpos. Could be a loop on cptcovs: number of single covariate (dummy or quantitative) in the result line as well as in the model */
fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	/* printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); /\* Output by variables in the resultline \/ /
}	/* Tvaraff[j] is the name of the dummy variable in position j in the equation model:
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */	* Tvaraff[1]@9={4, 3, 0, 0, 0, 0, 0, 0, 0}, in model=V5+V4+V3+V4V3+V5age
printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	* (V5 is quanti) V4 and V3 are dummies
fprintf(ficrest," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	* TnsdVar[4] is the position 1 and TnsdVar[3]=2 in codtabm(k,l)(V4 V3)=V4 V3
fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	* l=1 l=2
}	* k=1 1 1 0 0
	* k=2 2 1 1 0
	* k=3 [1] [2] 0 1
	* k=4 2 2 1 1
	* If nres=1 result: V3=1 V4=0 then k=3 and outputs
	* If nres=2 result: V4=1 V3=0 then k=2 and outputs
	* nres=1 =>k=3 j=1 V4= nbcode[4][codtabm(3,1)=1)=0; j=2 V3= nbcode[3][codtabm(3,2)=2]=1
	* nres=2 =>k=2 j=1 V4= nbcode[4][codtabm(2,1)=2)=1; j=2 V3= nbcode[3][codtabm(2,2)=1]=0
	*/
	/* Tvresult[nres][j] Name of the variable at position j in this resultline */
	/* Tresult[nres][j] Value of this variable at position j could be a float if quantitative */
	/* We give up with the combinations!! */
	printf("\n j=%d In computing T_ Dummy[modelresult[%d][%d]]=%d, modelresult[%d][%d]=%d cptcovs=%d, cptcoveff=%d Fixed[modelresult[nres][j]]=%d\n", j, nres, j, Dummy[modelresult[nres][j]],nres,j,modelresult[nres][j],cptcovs, cptcoveff,Fixed[modelresult[nres][j]]); /* end if dummy or quanti */

	if(Dummy[modelresult[nres][j]]==0){/* Dummy variable of the variable in position modelresult in the model corresponding to j in resultline */
	printf("V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][j]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */
	fprintf(ficlog,"V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][j]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */
	fprintf(ficrest,"V%d=%lg ",Tvresult[nres][j],TinvDoQresult[nres][j]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline */
	if(Fixed[modelresult[nres][j]]==0){ /* Fixed */
	printf("fixed ");fprintf(ficlog,"fixed ");fprintf(ficrest,"fixed ");
	}else{
	printf("varyi ");fprintf(ficlog,"varyi ");fprintf(ficrest,"varyi ");
	}
	/* fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
	/* fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
	}else if(Dummy[modelresult[nres][j]]==1){ /* Quanti variable */
	/* For each selected (single) quantitative value */
	printf(" V%d=%lg ",Tvqresult[nres][j],Tqresult[nres][j]);
	fprintf(ficlog," V%d=%lg ",Tvqresult[nres][j],Tqresult[nres][j]);
	fprintf(ficrest," V%d=%lg ",Tvqresult[nres][j],Tqresult[nres][j]);
	if(Fixed[modelresult[nres][j]]==0){ /* Fixed */
	printf("fixed ");fprintf(ficlog,"fixed ");fprintf(ficrest,"fixed ");
	}else{
	printf("varyi ");fprintf(ficlog,"varyi ");fprintf(ficrest,"varyi ");
	}
	}else{
	printf("Error in computing T_ Dummy[modelresult[%d][%d]]=%d, modelresult[%d][%d]=%d cptcovs=%d, cptcoveff=%d \n", nres, j, Dummy[modelresult[nres][j]],nres,j,modelresult[nres][j],cptcovs, cptcoveff); /* end if dummy or quanti */
	fprintf(ficlog,"Error in computing T_ Dummy[modelresult[%d][%d]]=%d, modelresult[%d][%d]=%d cptcovs=%d, cptcoveff=%d \n", nres, j, Dummy[modelresult[nres][j]],nres,j,modelresult[nres][j],cptcovs, cptcoveff); /* end if dummy or quanti */
	exit(1);
	}
	} /* End loop for each variable in the resultline */
	/* for (j=1; j<= nsq; j++){ /\* For each selected (single) quantitative value \/ /
	/* printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); /\* Wrong j is not in the equation model \/ /
	/* fprintf(ficrest," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */
	/* fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); */
	/* } */
fprintf(ficrest,"******\n");	fprintf(ficrest,"******\n");
fprintf(ficlog,"******\n");	fprintf(ficlog,"******\n");
printf("******\n");	printf("******\n");

fprintf(ficresstdeij,"\n#****** ");	fprintf(ficresstdeij,"\n#****** ");
fprintf(ficrescveij,"\n#****** ");	fprintf(ficrescveij,"\n#****** ");
	/* It could have been: for(j=1;j<=cptcoveff;j++) {printf("V=%d=%lg",Tvresult[nres][cpt],TinvDoQresult[nres][Tvresult[nres][cpt]]);} */
	/* But it won't be sorted and depends on how the resultline is ordered */
for(j=1;j<=cptcoveff;j++) {	for(j=1;j<=cptcoveff;j++) {
fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	fprintf(ficresstdeij,"V%d=%d ",Tvresult[nres][j],Tresult[nres][j]);
fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	/* fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
}	/* fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); */
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */	}
fprintf(ficresstdeij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value, TvarsQind gives the position of a quantitative in model equation */
fprintf(ficrescveij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	fprintf(ficresstdeij," V%d=%lg ",Tvar[TvarsQind[j]],Tqresult[nres][resultmodel[nres][TvarsQind[j]]]);
	fprintf(ficrescveij," V%d=%lg ",Tvar[TvarsQind[j]],Tqresult[nres][resultmodel[nres][TvarsQind[j]]]);
}	}
fprintf(ficresstdeij,"******\n");	fprintf(ficresstdeij,"******\n");
fprintf(ficrescveij,"******\n");	fprintf(ficrescveij,"******\n");
Line 12737 Please run with mle=-1 to get a correct	Line 14215 Please run with mle=-1 to get a correct
fprintf(ficresvij,"\n#****** ");	fprintf(ficresvij,"\n#****** ");
/* pstamp(ficresvij); */	/* pstamp(ficresvij); */
for(j=1;j<=cptcoveff;j++)	for(j=1;j<=cptcoveff;j++)
fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);	fprintf(ficresvij,"V%d=%d ",Tvresult[nres][j],Tresult[nres][j]);
	/* fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[TnsdVar[Tvaraff[j]]])]); */
for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */	for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */
fprintf(ficresvij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);	/* fprintf(ficresvij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]); /\* To solve \/ /
	fprintf(ficresvij," V%d=%lg ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); /* Solved */
}	}
fprintf(ficresvij,"******\n");	fprintf(ficresvij,"******\n");

Line 12770 Please run with mle=-1 to get a correct	Line 14250 Please run with mle=-1 to get a correct
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 forward period (stable) prevalences in each health state \n");	fprintf(ficrest,"the age specific forward period (stable) prevalences in each health state \n");
fprintf(ficrest,"# Age popbased mobilav e.. (std) ");	fprintf(ficrest,"# Age popbased mobilav e.. (std) "); /* Adding covariate values? */
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"); */	/* printf("Which p?\n"); for(i=1;i<=npar;i++)printf("p[i=%d]=%lf,",i,p[i]);printf("\n"); */
Line 12817 Please run with mle=-1 to get a correct	Line 14297 Please run with mle=-1 to get a correct
printf("done selection\n");fflush(stdout);	printf("done selection\n");fflush(stdout);
fprintf(ficlog,"done selection\n");fflush(ficlog);	fprintf(ficlog,"done selection\n");fflush(ficlog);

} /* End k selection */	} /* End k selection or end covariate selection for nres */

printf("done State-specific expectancies\n");fflush(stdout);	printf("done State-specific expectancies\n");fflush(stdout);
fprintf(ficlog,"done State-specific expectancies\n");fflush(ficlog);	fprintf(ficlog,"done State-specific expectancies\n");fflush(ficlog);

/* variance-covariance of forward period prevalence*/	/* variance-covariance of forward period prevalence */
varprlim(fileresu, nresult, mobaverage, mobilavproj, bage, fage, prlim, &ncvyear, ftolpl, p, matcov, delti, stepm, cptcoveff);	varprlim(fileresu, nresult, mobaverage, mobilavproj, bage, fage, prlim, &ncvyear, ftolpl, p, matcov, delti, stepm, cptcoveff);


free_vector(weight,firstobs,lastobs);	free_vector(weight,firstobs,lastobs);
	free_imatrix(Tvardk,1,NCOVMAX,1,2);
free_imatrix(Tvard,1,NCOVMAX,1,2);	free_imatrix(Tvard,1,NCOVMAX,1,2);
free_imatrix(s,1,maxwav+1,firstobs,lastobs);	free_imatrix(s,1,maxwav+1,firstobs,lastobs);
free_matrix(anint,1,maxwav,firstobs,lastobs);	free_matrix(anint,1,maxwav,firstobs,lastobs);
Line 12874 Please run with mle=-1 to get a correct	Line 14355 Please run with mle=-1 to get a correct
free_ivector(TvarsQ,1,NCOVMAX);	free_ivector(TvarsQ,1,NCOVMAX);
free_ivector(TvarsQind,1,NCOVMAX);	free_ivector(TvarsQind,1,NCOVMAX);
free_ivector(TvarsD,1,NCOVMAX);	free_ivector(TvarsD,1,NCOVMAX);
	free_ivector(TnsdVar,1,NCOVMAX);
free_ivector(TvarsDind,1,NCOVMAX);	free_ivector(TvarsDind,1,NCOVMAX);
free_ivector(TvarFD,1,NCOVMAX);	free_ivector(TvarFD,1,NCOVMAX);
free_ivector(TvarFDind,1,NCOVMAX);	free_ivector(TvarFDind,1,NCOVMAX);
Line 12889 Please run with mle=-1 to get a correct	Line 14371 Please run with mle=-1 to get a correct
free_ivector(TvarVDind,1,NCOVMAX);	free_ivector(TvarVDind,1,NCOVMAX);
free_ivector(TvarVQ,1,NCOVMAX);	free_ivector(TvarVQ,1,NCOVMAX);
free_ivector(TvarVQind,1,NCOVMAX);	free_ivector(TvarVQind,1,NCOVMAX);
	free_ivector(TvarVV,1,NCOVMAX);
	free_ivector(TvarVVind,1,NCOVMAX);

free_ivector(Tvarsel,1,NCOVMAX);	free_ivector(Tvarsel,1,NCOVMAX);
free_vector(Tvalsel,1,NCOVMAX);	free_vector(Tvalsel,1,NCOVMAX);
free_ivector(Tposprod,1,NCOVMAX);	free_ivector(Tposprod,1,NCOVMAX);
free_ivector(Tprod,1,NCOVMAX);	free_ivector(Tprod,1,NCOVMAX);
free_ivector(Tvaraff,1,NCOVMAX);	free_ivector(Tvaraff,1,NCOVMAX);
free_ivector(invalidvarcomb,1,ncovcombmax);	free_ivector(invalidvarcomb,0,ncovcombmax);
free_ivector(Tage,1,NCOVMAX);	free_ivector(Tage,1,NCOVMAX);
free_ivector(Tmodelind,1,NCOVMAX);	free_ivector(Tmodelind,1,NCOVMAX);
free_ivector(TmodelInvind,1,NCOVMAX);	free_ivector(TmodelInvind,1,NCOVMAX);
free_ivector(TmodelInvQind,1,NCOVMAX);	free_ivector(TmodelInvQind,1,NCOVMAX);

	free_matrix(precov, 1,MAXRESULTLINESPONE,1,NCOVMAX+1); /* Could be elsewhere ?*/

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);

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