Diff for /imach/src/imach.c between versions 1.278 and 1.335

version 1.278, 2017/07/19 14:09:02 version 1.335, 2022/08/31 08:23:16
Line 1 Line 1
 /* $Id$  /* $Id$
   $State$    $State$
   $Log$    $Log$
     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
     Summary: version 0.99r19 of May 2019
   
     Revision 1.299  2019/05/22 18:37:08  brouard
     Summary: Cleaned 0.99r19
   
     Revision 1.298  2019/05/22 18:19:56  brouard
     *** empty log message ***
   
     Revision 1.297  2019/05/22 17:56:10  brouard
     Summary: Fix bug by moving date2dmy and nhstepm which gaefin=-1
   
     Revision 1.296  2019/05/20 13:03:18  brouard
     Summary: Projection syntax simplified
   
   
     We can now start projections, forward or backward, from the mean date
     of inteviews up to or down to a number of years of projection:
     prevforecast=1 yearsfproj=15.3 mobil_average=0
     or
     prevforecast=1 starting-proj-date=1/1/2007 final-proj-date=12/31/2017 mobil_average=0
     or
     prevbackcast=1 yearsbproj=12.3 mobil_average=1
     or
     prevbackcast=1 starting-back-date=1/10/1999 final-back-date=1/1/1985 mobil_average=1
   
     Revision 1.295  2019/05/18 09:52:50  brouard
     Summary: doxygen tex bug
   
     Revision 1.294  2019/05/16 14:54:33  brouard
     Summary: There was some wrong lines added
   
     Revision 1.293  2019/05/09 15:17:34  brouard
     *** empty log message ***
   
     Revision 1.292  2019/05/09 14:17:20  brouard
     Summary: Some updates
   
     Revision 1.291  2019/05/09 13:44:18  brouard
     Summary: Before ncovmax
   
     Revision 1.290  2019/05/09 13:39:37  brouard
     Summary: 0.99r18 unlimited number of individuals
   
     The number n which was limited to 20,000 cases is now unlimited, from firstobs to lastobs. If the number is too for the virtual memory, probably an error will occur.
   
     Revision 1.289  2018/12/13 09:16:26  brouard
     Summary: Bug for young ages (<-30) will be in r17
   
     Revision 1.288  2018/05/02 20:58:27  brouard
     Summary: Some bugs fixed
   
     Revision 1.287  2018/05/01 17:57:25  brouard
     Summary: Bug fixed by providing frequencies only for non missing covariates
   
     Revision 1.286  2018/04/27 14:27:04  brouard
     Summary: some minor bugs
   
     Revision 1.285  2018/04/21 21:02:16  brouard
     Summary: Some bugs fixed, valgrind tested
   
     Revision 1.284  2018/04/20 05:22:13  brouard
     Summary: Computing mean and stdeviation of fixed quantitative variables
   
     Revision 1.283  2018/04/19 14:49:16  brouard
     Summary: Some minor bugs fixed
   
     Revision 1.282  2018/02/27 22:50:02  brouard
     *** empty log message ***
   
     Revision 1.281  2018/02/27 19:25:23  brouard
     Summary: Adding second argument for quitting
   
     Revision 1.280  2018/02/21 07:58:13  brouard
     Summary: 0.99r15
   
     New Makefile with recent VirtualBox 5.26. Bug in sqrt negatve in imach.c
   
     Revision 1.279  2017/07/20 13:35:01  brouard
     Summary: temporary working
   
   Revision 1.278  2017/07/19 14:09:02  brouard    Revision 1.278  2017/07/19 14:09:02  brouard
   Summary: Bug for mobil_average=0 and prevforecast fixed(?)    Summary: Bug for mobil_average=0 and prevforecast fixed(?)
   
Line 699 Line 944
   
   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 878  Important routines Line 1123  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 948  Important routines Line 1193  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 1003  typedef struct { Line 1249  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 1014  typedef struct { Line 1260  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 V1*V2 */  #define NCOVMAX 30  /**< Maximum number of covariates used in the model, including generated covariates V1*V2 or V1*age */
 #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 
 #define MAXN 20000  /*#define MAXN 20000 */ /* Should by replaced by nobs, real number of observations and unlimited */
 #define YEARM 12. /**< Number of months per year */  #define YEARM 12. /**< Number of months per year */
 /* #define AGESUP 130 */  /* #define AGESUP 130 */
 #define AGESUP 150  /* #define AGESUP 150 */
   #define AGESUP 200
 #define AGEINF 0  #define AGEINF 0
 #define AGEMARGE 25 /* Marge for agemin and agemax for(iage=agemin-AGEMARGE; iage <= agemax+3+AGEMARGE; iage++) */  #define AGEMARGE 25 /* Marge for agemin and agemax for(iage=agemin-AGEMARGE; iage <= agemax+3+AGEMARGE; iage++) */
 #define AGEBASE 40  #define AGEBASE 40
Line 1041  typedef struct { Line 1288  typedef struct {
 /* $State$ */  /* $State$ */
 #include "version.h"  #include "version.h"
 char version[]=__IMACH_VERSION__;  char version[]=__IMACH_VERSION__;
 char copyright[]="February 2016,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2018";  char copyright[]="August 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 age*age, number of forces */  int nagesqr=0, nforce=0; /* nagesqr=1 if model is including age*age, number of forces */
 /* Number of covariates model=V2+V1+ V3*age+V2*V4 */  /* Number of covariates model (1)=V2+V1+ V3*age+V2*V4 */
 int cptcovn=0; /**< cptcovn number of covariates added in the model (excepting constant and age and age*product) */  /* Model(2)  V1 + V2 + V3 + V8 + V7*V8 + V5*V6 + V8*age + V3*age + age*age */
 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 age*products =6 and age*age 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 age*age */
 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: V3*age only =1 */  int cptcovage=0; /**< Number of covariates with age: V3*age 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 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 */
Line 1065  int nqfveff=0; /**< nqfveff Number of Qu Line 1313  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 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)*nlstate*ncovmodel; */
 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 a12*1 +b12*x ncovmodel=2 */  int ncovmodel=0, ncovcol=0;     /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */
Line 1203  int *ncodemaxwundef;  /* ncodemax[j]= Nu Line 1453  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 anprojf, mprojf, jprojf;
   
     double anbackd, mbackd, jbackd; /* For eventual backprojections */
     double anbackf, mbackf, jbackf;
     double jintmean,mintmean,aintmean;  
 double *weight;  double *weight;
 int **s; /* Status */  int **s; /* Status */
 double *agedc;  double *agedc;
Line 1217  double ***cotvar; /* Time varying covari Line 1473  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+V4*V3+V5*age+V2+V1*V2+V1*age+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 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + 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+V4*V3+V5*age+V2+V1*V2+V1*age+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 */ 
   /*TvarsD[nsd]     4   3                              1 */ /* ID of single dummy cova fixed or timevary*/
   /*TvarsDind[k]    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 cov*age in the model equation */
   /* Tage[cptcovage]=k            5               8      */ /* Position in the model of ith cov*age */
   /* Tvard[1][1]@4={4,3,1,2}    V4*V3 V1*V2              */ /* 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, V1*V2, 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+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\/ */  /* int *TDvar; /\**< TDvar[1]=4,  TDvarF[2]=3, TDvar[3]=6  in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 *\/ */
 int *TvarF; /**< TvarF[1]=Tvar[6]=2,  TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1  in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */  int *TvarF; /**< TvarF[1]=Tvar[6]=2,  TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1  in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
 int *TvarFind; /**< TvarFind[1]=6,  TvarFind[2]=7, Tvarind[3]=9  in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */  int *TvarFind; /**< TvarFind[1]=6,  TvarFind[2]=7, Tvarind[3]=9  in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
Line 1282  int *TmodelInvQind; /** Tmodelqind[1]=1 Line 1577  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(=V1*V4) for V2+V1+V1*V4+age*V3  */  /* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3  */
 int *Tposprod; /**< Gives the k1 product from the k position */  int *Tposprod; /**< Gives the k1 product from the k position */
Line 1452  char *cutl(char *blocc, char *alocc, cha Line 1748  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 1734  char *subdirf(char fileres[]) Line 2030  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 2105  void linmin(double p[], double xi[], int Line 2403  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 2166  void linmin(double p[], double xi[], int Line 2464  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 2194  void powell(double p[], double **xi, int Line 2492  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 2209  void powell(double p[], double **xi, int Line 2501  void powell(double p[], double **xi, int
   for (j=1;j<=n;j++) pt[j]=p[j];     for (j=1;j<=n;j++) pt[j]=p[j]; 
   rcurr_time = time(NULL);      rcurr_time = time(NULL);  
   for (*iter=1;;++(*iter)) {     for (*iter=1;;++(*iter)) { 
     fp=(*fret); /* 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 -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout);      printf("\nPowell iter=%d -2*LL=%.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 -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog);      fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f gain=%.12f=%.3g %ld sec. %ld sec.",*iter,*fret, fp-*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 2323  void powell(double p[], double **xi, int Line 2615  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 (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /\* Did we reach enough precision? *\/ */      /* if (2.0*fabs(fp-(*fret)) <= ftol*(fabs(fp)+fabs(*fret))) { /\* Did we reach enough precision? *\/ */
     if (2.0*fabs(fp-(*fret)) <= ftol) { /* Did we reach enough precision? */      if (2.0*fabs(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 2368  void powell(double p[], double **xi, int Line 2660  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 2485  void powell(double p[], double **xi, int Line 2773  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 2516  void powell(double p[], double **xi, int Line 2811  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 
        (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 
   /* Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1  = Wx-n Px-n ... Px-2 Px-1 I */       * Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1  = Wx-n Px-n ... Px-2 Px-1 I
   /* Wx is row vector: population in state 1, population in state 2, population dead */       * Wx is row vector: population in state 1, population in state 2, population dead
   /* or prevalence in state 1, prevalence in state 2, 0 */       * or prevalence in state 1, prevalence in state 2, 0
   /* newm is the matrix after multiplications, its rows are identical at a factor */       * newm is the matrix after multiplications, its rows are identical at a factor.
   /* Initial matrix pimij */       * Inputs are the parameter, age, a tolerance for the prevalence limit ftolpl.
        * Output is prlim.
        * Initial matrix pimij 
        */
   /* {0.85204250825084937, 0.13044499163996345, 0.017512500109187184, */    /* {0.85204250825084937, 0.13044499163996345, 0.017512500109187184, */
   /* 0.090851990222114765, 0.88271245433047185, 0.026435555447413338, */    /* 0.090851990222114765, 0.88271245433047185, 0.026435555447413338, */
   /*  0,                   0                  , 1} */    /*  0,                   0                  , 1} */
Line 2538  void powell(double p[], double **xi, int Line 2836  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 */
   double **newm;    double **newm;
   double agefin, delaymax=200. ; /* 100 Max number of years to converge */    double agefin, delaymax=200. ; /* 100 Max number of years to converge */
   int ncvloop=0;    int ncvloop=0;
     int first=0;
       
   min=vector(1,nlstate);    min=vector(1,nlstate);
   max=vector(1,nlstate);    max=vector(1,nlstate);
Line 2565  void powell(double p[], double **xi, int Line 2864  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 + V7*V8 + V5*V6 + V8*age + V3*age + age*age */
       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 age*age */
       /* 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 + V1*V3 + age*V1 + V2 + V1 + age*V2 + V3 + V3*age + V1*V2  */
     }      /*    * 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 + V2*age + V2 + V3*age */
       /*    * 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 2641  void powell(double p[], double **xi, int Line 2988  void powell(double p[], double **xi, int
       free_vector(meandiff,1,nlstate);        free_vector(meandiff,1,nlstate);
       return prlim;        return prlim;
     }      }
   } /* age loop */    } /* agefin loop */
     /* After some age loop it doesn't converge */      /* After some age loop it doesn't converge */
   printf("Warning: the stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.0f years. Try to lower 'ftolpl'. \n\    if(!first){
 Earliest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, delaymax, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear);      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);
       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++;
     }
   
   /* 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);
   free_vector(max,1,nlstate);    free_vector(max,1,nlstate);
Line 2680  Earliest age to start was %d-%d=%d, ncvl Line 3039  Earliest age to start was %d-%d=%d, ncvl
   /*  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 2710  Earliest age to start was %d-%d=%d, ncvl Line 3069  Earliest age to start was %d-%d=%d, ncvl
   /* Even if hstepm = 1, at least one multiplication by the unit matrix */    /* Even if hstepm = 1, at least one multiplication by the unit matrix */
   /* Start at agefin= age, computes the matrix of passage and loops decreasing agefin until convergence is reached */    /* Start at agefin= age, computes the matrix of passage and loops decreasing agefin until convergence is reached */
   /* for(agefin=age+stepm/YEARM; agefin<=age+delaymax; agefin=agefin+stepm/YEARM){ /\* A changer en age *\/ */    /* for(agefin=age+stepm/YEARM; agefin<=age+delaymax; agefin=agefin+stepm/YEARM){ /\* A changer en age *\/ */
   for(agefin=age; agefin<AGESUP; agefin=agefin+stepm/YEARM){ /* A changer en age */    /* for(agefin=age; agefin<AGESUP; agefin=agefin+stepm/YEARM){ /\* A changer en age *\/ */
     for(agefin=age; agefin<FMIN(AGESUP,age+delaymax); agefin=agefin+stepm/YEARM){ /* A changer en age */
     ncvloop++;      ncvloop++;
     newm=savm; /* oldm should be kept from previous iteration or unity at start */      newm=savm; /* oldm should be kept from previous iteration or unity at start */
                 /* 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 2811  Earliest age to start was %d-%d=%d, ncvl Line 3183  Earliest age to start was %d-%d=%d, ncvl
                                   
     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 2824  Earliest age to start was %d-%d=%d, ncvl Line 3196  Earliest age to start was %d-%d=%d, ncvl
       free_vector(meandiff,1,nlstate);        free_vector(meandiff,1,nlstate);
       return bprlim;        return bprlim;
     }      }
   } /* age loop */    } /* agefin loop */
     /* After some age loop it doesn't converge */      /* After some age loop it doesn't converge */
   if(first){    if(!first){
     first=1;      first=1;
     printf("Warning: the back stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.0f years. Try to lower 'ftolpl'. Others in log file only...\n\      printf("Warning: the back stable prevalence at age %d did not converge with the required precision (%g > ftolpl=%g) within %.0f years. Try to lower 'ftolpl'. Others in log file only...\n\
 Oldest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, delaymax, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear);  Oldest age to start was %d-%d=%d, ncvloop=%d, ncvyear=%d\n", (int)age, maxmax, ftolpl, delaymax, (int)age, (int)delaymax, (int)agefin, ncvloop, *ncvyear);
Line 2871  double **pmij(double **ps, double *cov, Line 3243  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 2880  double **pmij(double **ps, double *cov, Line 3252  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); */
     }      }
   }    }
       
Line 2887  double **pmij(double **ps, double *cov, Line 3260  double **pmij(double **ps, double *cov,
     s1=0;      s1=0;
     for(j=1; j<i; j++){      for(j=1; j<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); */        /* printf("debug1 %d %d ps=%lf exp(ps)=%lf s1+=%lf\n",i,j,ps[i][j],exp(ps[i][j]),s1); */
     }      }
     for(j=i+1; j<=nlstate+ndeath; j++){      for(j=i+1; j<=nlstate+ndeath; j++){
       s1+=exp(ps[i][j]); /* 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); */        /* 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 2909  double **pmij(double **ps, double *cov, Line 3282  double **pmij(double **ps, double *cov,
       ps[ii][ii]=1;        ps[ii][ii]=1;
     }      }
   }    }
     
     
   /* for(ii=1; ii<= nlstate+ndeath; ii++){ */    /* for(ii=1; ii<= nlstate+ndeath; ii++){ */
   /*   for(jj=1; jj<= nlstate+ndeath; jj++){ */    /*   for(jj=1; jj<= nlstate+ndeath; jj++){ */
   /*    printf(" pmij  ps[%d][%d]=%lf ",ii,jj,ps[ii][jj]); */    /*    printf(" pmij  ps[%d][%d]=%lf ",ii,jj,ps[ii][jj]); */
Line 2930  double **pmij(double **ps, double *cov, Line 3303  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 2938  double **pmij(double **ps, double *cov, Line 3311  double **pmij(double **ps, double *cov,
   double **out, **pmij();    double **out, **pmij();
   double sumnew=0.;    double sumnew=0.;
   double agefin;    double agefin;
   double k3=0.; /* constant of the w_x diagonal matrixe (in order for B to sum to 1 even for death state) */    double k3=0.; /* constant of the w_x diagonal matrix (in order for B to sum to 1 even for death state) */
   double **dnewm, **dsavm, **doldm;    double **dnewm, **dsavm, **doldm;
   double **bbmij;    double **bbmij;
       
   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 2953  double **pmij(double **ps, double *cov, Line 3328  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) */
   /* Problem with prevacurrent which can be zero */    /* Rescaling the cross-sectional prevalence: Problem with prevacurrent which can be zero */
   sumnew=0.;    sumnew=0.;
   /*for (ii=1;ii<=nlstate+ndeath;ii++){*/    /*for (ii=1;ii<=nlstate+ndeath;ii++){*/
   for (ii=1;ii<=nlstate;ii++){ /* Only on live states */    for (ii=1;ii<=nlstate;ii++){ /* Only on live states */
     /* printf(" agefin=%d, ii=%d, ij=%d, prev=%f\n",(int)agefin,ii, ij, prevacurrent[(int)agefin][ii][ij]);  */      /* printf(" agefin=%d, ii=%d, ij=%d, prev=%f\n",(int)agefin,ii, ij, prevacurrent[(int)agefin][ii][ij]); */
     sumnew+=prevacurrent[(int)agefin][ii][ij];      sumnew+=prevacurrent[(int)agefin][ii][ij];
   }    }
   if(sumnew >0.01){  /* At least some value in the prevalence */    if(sumnew >0.01){  /* At least some value in the prevalence */
Line 2984  double **pmij(double **ps, double *cov, Line 3359  double **pmij(double **ps, double *cov,
   }    }
   /* End doldm, At the end doldm is diag[(w_i)] */    /* End doldm, At the end doldm is diag[(w_i)] */
       
   /* left Product of this diag matrix by pmmij=Px (dnewm=dsavm*doldm) */    /* Left product of this diag matrix by pmmij=Px (dnewm=dsavm*doldm): diag[(w_i)*Px */
   bbmij=matprod2(dnewm, doldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, pmmij); /* Bug Valgrind */    bbmij=matprod2(dnewm, doldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, pmmij); /* was a Bug Valgrind */
   
   /* Diag(Sum_i w^i_x p^ij_x */    /* Diag(Sum_i w^i_x p^ij_x, should be the prevalence at age x+stepm */
   /* w1 p11 + w2 p21 only on live states N1./N..*N11/N1. + N2./N..*N21/N2.=(N11+N21)/N..=N.1/N.. */    /* w1 p11 + w2 p21 only on live states N1./N..*N11/N1. + N2./N..*N21/N2.=(N11+N21)/N..=N.1/N.. */
   for (j=1;j<=nlstate+ndeath;j++){    for (j=1;j<=nlstate+ndeath;j++){
     sumnew=0.;      sumnew=0.;
Line 3005  double **pmij(double **ps, double *cov, Line 3380  double **pmij(double **ps, double *cov,
     } /*End ii */      } /*End ii */
   } /* End j, At the end dsavm is diag[1/(w_1p1i+w_2 p2i)] for ALL states even if the sum is only for live states */    } /* End j, At the end dsavm is diag[1/(w_1p1i+w_2 p2i)] for ALL states even if the sum is only for live states */
   
   ps=matprod2(ps, dnewm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, dsavm); /* Bug Valgrind */    ps=matprod2(ps, dnewm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, dsavm); /* was a Bug Valgrind */
   /* ps is now diag[w_i] * Px * diag [1/(w_1p1i+w_2 p2i)] */    /* ps is now diag[w_i] * Px * diag [1/(w_1p1i+w_2 p2i)] */
   /* end bmij */    /* end bmij */
   return ps; /*pointer is unchanged */    return ps; /*pointer is unchanged */
Line 3077  double **bpmij(double **ps, double *cov, Line 3452  double **bpmij(double **ps, double *cov,
       ps[ii][ii]=1;        ps[ii][ii]=1;
     }      }
   }    }
   /* Added for backcast */ /* Transposed matrix too */    /* Added for prevbcast */ /* Transposed matrix too */
   for(jj=1; jj<= nlstate+ndeath; jj++){    for(jj=1; jj<= nlstate+ndeath; jj++){
     s1=0.;      s1=0.;
     for(ii=1; ii<= nlstate+ndeath; ii++){      for(ii=1; ii<= nlstate+ndeath; ii++){
Line 3133  double **matprod2(double **out, double * Line 3508  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     /* Computes the transition matrix starting at age 'age' and dummies values in each resultline (loop on ij to find the corresponding combination) to over 
      'nhstepm*hstepm*stepm' months (i.e. until       'nhstepm*hstepm*stepm' months (i.e. until
      age (in years)  age+nhstepm*hstepm*stepm/12) by multiplying        age (in years)  age+nhstepm*hstepm*stepm/12) by multiplying 
      nhstepm*hstepm matrices.        nhstepm*hstepm matrices. 
Line 3145  double ***hpxij(double ***po, int nhstep Line 3520  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 3165  double ***hpxij(double ***po, int nhstep Line 3540  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 + V7*V8 + V5*V6 + V8*age + V3*age + age*age */
         /* total number of covariates of the model nbocc(+)+1 = 8 excepting constant and age and age*age */
         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+V4*V3+V5*age+V2+V1*V2+V1*age+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 age*V1 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+V1*age +V4 +age*V3 *\\/ *\/ */
   /*        /\* 1+2 Tage[1]=2 TVar[2]=1 Dummy[2]=2, Tage[2]=4 TVar[4]=3 Dummy[4]=3 quant*\/ */
   /*        /\* *\/ */
   /* /\*             V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+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+V4*V3+V5*age+V2+V1*V2+V1*age+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 3199  double ***hpxij(double ***po, int nhstep Line 3653  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 3234  double ***hpxij(double ***po, int nhstep Line 3688  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
      'nhstepm*hstepm*stepm' months (i.e. until       'nhstepm*hstepm*stepm' months (i.e. until
      age (in years)  age+nhstepm*hstepm*stepm/12) by multiplying       age (in years)  age+nhstepm*hstepm*stepm/12) by multiplying
      nhstepm*hstepm matrices.       nhstepm*hstepm matrices.
Line 3246  double ***hbxij(double ***po, int nhstep Line 3701  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 3269  double ***hbxij(double ***po, int nhstep Line 3724  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 3388  double func( double *x) Line 3871  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 (k=1; k<=ncovf;k++){ /* For each fixed covariate dummu or quant or prod */
         cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+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+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
           /*  TvarF[1]=Tvar[6]=2,  TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1  ID of fixed covariates or product V2, V1*V2, V1 */
           /* TvarFind;  TvarFind[1]=6,  TvarFind[2]=7, TvarFind[3]=9 *//* Inverse V2(6) is first fixed (single or prod)  */
           cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (TvarFind[1]=6)*/
           /* V1*V2 (7)  TvarFind[2]=7, TvarFind[3]=9 */
       }        }
       /* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4]         /* In model V2+V1*V4+age*V3+V3*V2 Tvar[1] is V2, Tvar[2=V1*V4] 
          is 6, Tvar[3=age*V3] should not be computed because of age Tvar[4=V3*V2]            is 5, Tvar[3=age*V3] should not be computed because of age Tvar[4=V3*V2]=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
Line 3404  double func( double *x) Line 3892  double func( double *x)
          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++){
         for(k=1; k <= ncovv ; k++){ /* Varying  covariates (single and product but no age )*/          for(k=1; k <= ncovv ; k++){ /* Varying  covariates in the model (single and product but no age )"V5+V4+V3+V4*V3+V5*age+V1*age+V1" +TvarVind 1,2,3,4(V4*V3)  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]]][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];            cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i];
         }          }
         for (ii=1;ii<=nlstate+ndeath;ii++)          for (ii=1;ii<=nlstate+ndeath;ii++)
Line 3420  double func( double *x) Line 3908  double func( double *x)
           if(nagesqr==1)            if(nagesqr==1)
             cov[3]= agexact*agexact;  /* Should be changed here */              cov[3]= agexact*agexact;  /* 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;
           }            }
           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 3531  double func( double *x) Line 4019  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];
           }
         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 3682  double func( double *x) Line 4175  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;
   double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1];    double l, ll[NLSTATEMAX+1], cov[NCOVMAX+1];
   double **out;    double **out;
Line 3710  double funcone( double *x) Line 4203  double funcone( double *x)
     /* 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+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (k=6)*/        cov[ioffset+TvarFind[kf]]=covar[Tvar[TvarFind[kf]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+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 3811  double funcone( double *x) Line 4304  double funcone( double *x)
       ipmx +=1;        ipmx +=1;
       sw += weight[i];        sw += weight[i];
       ll[s[mw[mi][i]][i]] += 2*weight[i]*lli;        ll[s[mw[mi][i]][i]] += 2*weight[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 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],(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,
                 2*weight[i]*lli,(s2==-1? -1: out[s1][s2]),(s2==-1? -1: savm[s1][s2]));                  2*weight[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, */
    /*             2*weight[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= l*ipmx/sw; /* To get the same order of magnitude as if weight=1 for every body */    l= l*ipmx/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;
 }  }
   
   
 /*************** function likelione ***********/  /*************** function likelione ***********/
 void likelione(FILE *ficres,double p[], int npar, int nlstate, int *globpri, long *ipmx, double *sw, double *fretone, double (*funcone)(double []))  void likelione(FILE *ficres,double p[], int npar, int nlstate, int *globpri, long *ipmx, double *sw, double *fretone, double (*func)(double []))
 {  {
   /* This routine should help understanding what is done with     /* This routine should help understanding what is done with 
      the selection of individuals/waves and       the selection of individuals/waves and
Line 3861  void likelione(FILE *ficres,double p[], Line 4360  void likelione(FILE *ficres,double p[],
     fprintf(ficresilk," -2*gipw/gsw*weight*ll(total)\n");      fprintf(ficresilk," -2*gipw/gsw*weight*ll(total)\n");
   }    }
   
   *fretone=(*funcone)(p);    *fretone=(*func)(p);
   if(*globpri !=0){    if(*globpri !=0){
     fclose(ficresilk);      fclose(ficresilk);
     if (mle ==0)      if (mle ==0)
Line 3889  void likelione(FILE *ficres,double p[], Line 4388  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 3923  void mlikeli(FILE *ficres,double p[], in Line 4422  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 3952  void mlikeli(FILE *ficres,double p[], in Line 4508  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 4336  void pstamp(FILE *fichier) Line 4900  void pstamp(FILE *fichier)
   fprintf(fichier,"# %s.%s\n#IMaCh version %s, %s\n#%s\n# %s", optionfilefiname,optionfilext,version,copyright, fullversion, strstart);    fprintf(fichier,"# %s.%s\n#IMaCh version %s, %s\n#%s\n# %s", optionfilefiname,optionfilext,version,copyright, fullversion, strstart);
 }  }
   
   void date2dmy(double date,double *day, double *month, double *year){
     double yp=0., yp1=0., yp2=0.;
     
     yp1=modf(date,&yp);/* extracts integral of date in yp  and
                           fractional in yp1 */
     *year=yp;
     yp2=modf((yp1*12),&yp);
     *month=yp;
     yp1=modf((yp2*30.5),&yp);
     *day=yp;
     if(*day==0) *day=1;
     if(*month==0) *month=1;
   }
   
   
   
 /************ Frequencies ********************/  /************ Frequencies ********************/
Line 4343  void  freqsummary(char fileres[], double Line 4921  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 4351  void  freqsummary(char fileres[], double Line 4929  void  freqsummary(char fileres[], double
   double ***freq; /* Frequencies */    double ***freq; /* Frequencies */
   double *x, *y, a=0.,b=0.,r=1., sa=0., sb=0.; /* for regression, y=b+m*x and r is the correlation coefficient */    double *x, *y, a=0.,b=0.,r=1., sa=0., sb=0.; /* for regression, y=b+m*x and r is the correlation coefficient */
   int no=0, linreg(int ifi, int ila, int *no, const double x[], const double y[], double* a, double* b, double* r, double* sa, double * sb);    int no=0, linreg(int ifi, int ila, int *no, const double x[], const double y[], double* a, double* b, double* r, double* sa, double * sb);
   double *meanq;    double *meanq, *stdq, *idq;
   double **meanqt;    double **meanqt;
   double *pp, **prop, *posprop, *pospropt;    double *pp, **prop, *posprop, *pospropt;
   double pos=0., posproptt=0., pospropta=0., k2, dateintsum=0,k2cpt=0;    double pos=0., posproptt=0., pospropta=0., k2, dateintsum=0,k2cpt=0;
Line 4364  void  freqsummary(char fileres[], double Line 4942  void  freqsummary(char fileres[], double
   pospropt=vector(1,nlstate); /* Counting the number of transition starting from a live state */     pospropt=vector(1,nlstate); /* Counting the number of transition starting from a live state */ 
   /* prop=matrix(1,nlstate,iagemin,iagemax+3); */    /* prop=matrix(1,nlstate,iagemin,iagemax+3); */
   meanq=vector(1,nqfveff); /* Number of Quantitative Fixed Variables Effective */    meanq=vector(1,nqfveff); /* Number of Quantitative Fixed Variables Effective */
     stdq=vector(1,nqfveff); /* Number of Quantitative Fixed Variables Effective */
     idq=vector(1,nqfveff); /* Number of Quantitative Fixed Variables Effective */
   meanqt=matrix(1,lastpass,1,nqtveff);    meanqt=matrix(1,lastpass,1,nqtveff);
   strcpy(fileresp,"P_");    strcpy(fileresp,"P_");
   strcat(fileresp,fileresu);    strcat(fileresp,fileresu);
Line 4387  void  freqsummary(char fileres[], double Line 4967  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 4397  Title=%s <br>Datafile=%s Firstpass=%d La Line 4977  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 4409  Title=%s <br>Datafile=%s Firstpass=%d La Line 4989  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 4417  Title=%s <br>Datafile=%s Firstpass=%d La Line 4998  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 4454  Title=%s <br>Datafile=%s Firstpass=%d La Line 5035  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 4472  Title=%s <br>Datafile=%s Firstpass=%d La Line 5053  Title=%s <br>Datafile=%s Firstpass=%d La
         posprop[i]=0;          posprop[i]=0;
         pospropt[i]=0;          pospropt[i]=0;
       }        }
       /* for (z1=1; z1<= nqfveff; z1++) {   */        for (z1=1; z1<= nqfveff; z1++) { /* zeroing for each combination j1 as well as for the total */
       /*   meanq[z1]+=0.; */          idq[z1]=0.;
           meanq[z1]=0.;
           stdq[z1]=0.;
         }
         /* for (z1=1; z1<= nqtveff; z1++) { */
       /*   for(m=1;m<=lastpass;m++){ */        /*   for(m=1;m<=lastpass;m++){ */
       /*        meanqt[m][z1]=0.; */        /*          meanqt[m][z1]=0.; */
       /*   } */        /*        } */
       /* } */        /* }       */
         
       /* dateintsum=0; */        /* dateintsum=0; */
       /* k2cpt=0; */        /* k2cpt=0; */
               
Line 4488  Title=%s <br>Datafile=%s Firstpass=%d La Line 5072  Title=%s <br>Datafile=%s Firstpass=%d La
         if(j !=0){          if(j !=0){
           if(anyvaryingduminmodel==0){ /* If All fixed covariates */            if(anyvaryingduminmodel==0){ /* If All fixed covariates */
             if (cptcoveff >0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */              if (cptcoveff >0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */
               /* for (z1=1; z1<= nqfveff; z1++) {   */  
               /*   meanq[z1]+=coqvar[Tvar[z1]][iind];  /\* Computes mean of quantitative with selected filter *\/ */  
               /* } */  
               for (z1=1; z1<=cptcoveff; z1++) { /* loops on covariates in the model */                for (z1=1; z1<=cptcoveff; z1++) { /* loops on covariates in the model */
                 /* if(Tvaraff[z1] ==-20){ */                  /* if(Tvaraff[z1] ==-20){ */
                 /*       /\* 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=%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 */
           /* for(m=firstpass; m<=lastpass; m++){ */            /* for(m=firstpass; m<=lastpass; m++){ */
           for(mi=1; mi<wav[iind];mi++){ /* For that wave */            for(mi=1; mi<wav[iind];mi++){ /* For each wave */
             m=mw[mi][iind];              m=mw[mi][iind];
             if(j!=0){              if(j!=0){
               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;
                     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 4531  Title=%s <br>Datafile=%s Firstpass=%d La Line 5120  Title=%s <br>Datafile=%s Firstpass=%d La
               }/* Some are varying covariates, we tried to speed up if all fixed covariates in the model, avoiding waves loop  */                }/* Some are varying covariates, we tried to speed up if all fixed covariates in the model, avoiding waves loop  */
             } /* end j==0 */              } /* end j==0 */
             /* bool =0 we keep that guy which corresponds to the combination of dummy values */              /* bool =0 we keep that guy which corresponds to the combination of dummy values */
             if(bool==1){              if(bool==1){ /*Selected */
               /* dh[m][iind] or dh[mw[mi][iind]][iind] is the delay between two effective (mi) waves m=mw[mi][iind]                /* dh[m][iind] or dh[mw[mi][iind]][iind] is the delay between two effective (mi) waves m=mw[mi][iind]
                  and mw[mi+1][iind]. dh depends on stepm. */                   and mw[mi+1][iind]. dh depends on stepm. */
               agebegin=agev[m][iind]; /* Age at beginning of wave before transition*/                agebegin=agev[m][iind]; /* Age at beginning of wave before transition*/
Line 4549  Title=%s <br>Datafile=%s Firstpass=%d La Line 5138  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 on known values only */
                       if(!isnan(covar[ncovcol+z1][iind])){
                         idq[z1]=idq[z1]+weight[iind];
                         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); */
                   /* freq[s[m][iind]][s[m+1][iind]][(int)((agebegin+ageend)/2.)] += weight[iind]; */                    /* freq[s[m][iind]][s[m+1][iind]][(int)((agebegin+ageend)/2.)] += weight[iind]; */
Line 4564  Title=%s <br>Datafile=%s Firstpass=%d La Line 5161  Title=%s <br>Datafile=%s Firstpass=%d La
               bool=1;                bool=1;
             }/* end bool 2 */              }/* end bool 2 */
           } /* end m */            } /* end m */
             /* for (z1=1; z1<= nqfveff; z1++) { /\* Quantitative variables, calculating mean *\/ */
             /*   idq[z1]=idq[z1]+weight[iind]; */
             /*   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]; /\* *weight[iind];*\/  /\* Computes mean of quantitative with selected filter *\/ */
             /* } */
         } /* 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 4580  Title=%s <br>Datafile=%s Firstpass=%d La Line 5182  Title=%s <br>Datafile=%s Firstpass=%d La
         fprintf(ficresphtm, "\n<br/><br/><h3>********** Variable ");           fprintf(ficresphtm, "\n<br/><br/><h3>********** Variable "); 
         fprintf(ficresphtmfr, "\n<br/><br/><h3>********** Variable ");           fprintf(ficresphtmfr, "\n<br/><br/><h3>********** Variable "); 
         fprintf(ficlog, "\n#********** Variable ");           fprintf(ficlog, "\n#********** Variable "); 
         for (z1=1; z1<=cptcoveff; z1++){          for (z1=1; z1<=cptcovs; 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 4601  Title=%s <br>Datafile=%s Firstpass=%d La Line 5203  Title=%s <br>Datafile=%s Firstpass=%d La
         fprintf(ficresphtmfr, "**********</h3>\n");          fprintf(ficresphtmfr, "**********</h3>\n");
         fprintf(ficlog, "**********\n");          fprintf(ficlog, "**********\n");
       }        }
         /*
           Printing means of quantitative variables if any
         */
         for (z1=1; z1<= nqfveff; 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]);
           if(weightopt==1){
             printf(" Weighted mean and standard deviation of");
             fprintf(ficlog," Weighted mean and standard deviation of");
             fprintf(ficresphtmfr," Weighted mean and standard deviation of");
           }
           /* mu = \frac{w x}{\sum w}
              var = \frac{\sum w (x-mu)^2}{\sum w} = \frac{w x^2}{\sum w} - mu^2 
           */
           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(m=1;m<=lastpass;m++){ */
         /*          fprintf(ficresphtmfr,"V quantitative id %d, pass id=%d, mean=%f<p>\n", z1, m, meanqt[m][z1]); */
         /*   } */
         /* } */
   
       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 4684  Title=%s <br>Datafile=%s Firstpass=%d La Line 5313  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 4835  Title=%s <br>Datafile=%s Firstpass=%d La Line 5464  Title=%s <br>Datafile=%s Firstpass=%d La
             fprintf(ficlog,"\n");              fprintf(ficlog,"\n");
           }            }
         }          }
       }        } /* end of state i */
       printf("#Freqsummary\n");        printf("#Freqsummary\n");
       fprintf(ficlog,"\n");        fprintf(ficlog,"\n");
       for(s1=-1; s1 <=nlstate+ndeath; s1++){        for(s1=-1; s1 <=nlstate+ndeath; s1++){
Line 4877  Title=%s <br>Datafile=%s Firstpass=%d La Line 5506  Title=%s <br>Datafile=%s Firstpass=%d La
     }      }
   } /* end mle=-2 */    } /* end mle=-2 */
   dateintmean=dateintsum/k2cpt;     dateintmean=dateintsum/k2cpt; 
     date2dmy(dateintmean,&jintmean,&mintmean,&aintmean);
       
   fclose(ficresp);    fclose(ficresp);
   fclose(ficresphtm);    fclose(ficresphtm);
   fclose(ficresphtmfr);    fclose(ficresphtmfr);
     free_vector(idq,1,nqfveff);
   free_vector(meanq,1,nqfveff);    free_vector(meanq,1,nqfveff);
     free_vector(stdq,1,nqfveff);
   free_matrix(meanqt,1,lastpass,1,nqtveff);    free_matrix(meanqt,1,lastpass,1,nqtveff);
   free_vector(x, iagemin-AGEMARGE, iagemax+4+AGEMARGE);    free_vector(x, iagemin-AGEMARGE, iagemax+4+AGEMARGE);
   free_vector(y, iagemin-AGEMARGE, iagemax+4+AGEMARGE);    free_vector(y, iagemin-AGEMARGE, iagemax+4+AGEMARGE);
Line 4988  void prevalence(double ***probs, double Line 5620  void prevalence(double ***probs, double
   /*j=cptcoveff;*/    /*j=cptcoveff;*/
   if (cptcovn<1) {j=1;ncodemax[1]=1;}    if (cptcovn<1) {j=1;ncodemax[1]=1;}
       
   first=1;    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 5007  void prevalence(double ***probs, double Line 5639  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 5046  void prevalence(double ***probs, double Line 5678  void prevalence(double ***probs, double
           if(posprop>=1.e-5){             if(posprop>=1.e-5){ 
             probs[i][jk][j1]= prop[jk][i]/posprop;              probs[i][jk][j1]= prop[jk][i]/posprop;
           } else{            } else{
             if(first==1){              if(!first){
               first=0;                first=1;
               printf("Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,jk, j1,probs[i][jk][j1]);                printf("Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,jk, j1,probs[i][jk][j1]);
               fprintf(ficlog,"Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,jk, j1,probs[i][jk][j1]);  
             }else{              }else{
               fprintf(ficlog,"Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,jk, j1,probs[i][jk][j1]);                fprintf(ficlog,"Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases.\n",jk,i,jk, j1,probs[i][jk][j1]);
             }              }
           }            }
         }           } 
Line 5069  void prevalence(double ***probs, double Line 5700  void prevalence(double ***probs, double
   
 void  concatwav(int wav[], int **dh, int **bh,  int **mw, int **s, double *agedc, double **agev, int  firstpass, int lastpass, int imx, int nlstate, int stepm)  void  concatwav(int wav[], int **dh, int **bh,  int **mw, int **s, double *agedc, double **agev, int  firstpass, int lastpass, int imx, int nlstate, int stepm)
 {  {
   /* Concatenates waves: wav[i] is the number of effective (useful waves) of individual i.    /* Concatenates waves: wav[i] is the number of effective (useful waves in the sense that a non interview is useless) of individual i.
      Death is a valid wave (if date is known).       Death is a valid wave (if date is known).
      mw[mi][i] is the mi (mi=1 to wav[i])  effective wave of individual i       mw[mi][i] is the mi (mi=1 to wav[i])  effective wave of individual i
      dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i]       dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i]
      and mw[mi+1][i]. dh depends on stepm.       and mw[mi+1][i]. dh depends on stepm. s[m][i] exists for any wave from firstpass to lastpass
   */    */
   
   int i=0, mi=0, m=0, mli=0;    int i=0, mi=0, m=0, mli=0;
Line 5094  void  concatwav(int wav[], int **dh, int Line 5725  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 5145  void  concatwav(int wav[], int **dh, int Line 5784  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 5186  void  concatwav(int wav[], int **dh, int Line 5826  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 5297  void  concatwav(int wav[], int **dh, int Line 5940  void  concatwav(int wav[], int **dh, int
    /* *cptcov=0; */     /* *cptcov=0; */
     
    for (k=1; k <= maxncov; k++) ncodemax[k]=0; /* Horrible constant again replaced by NCOVMAX */     for (k=1; k <= maxncov; k++) ncodemax[k]=0; /* Horrible constant again replaced by NCOVMAX */
      for (k=1; k <= maxncov; k++)
        for(j=1; j<=2; j++)
          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 (j=1; j<=(cptcovs); j++) { /\* From model V1 + V2*age+ V3 + V3*V4 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 age*age */
    for (k=1; k<=cptcovt; k++) { /* From model V1 + V2*age + V3 + V3*V4 keeps V1 + V3 = 2 only */  
      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 */        if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age 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*/
            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
Line 5317  void  concatwav(int wav[], int **dh, int Line 5964  void  concatwav(int wav[], int **dh, int
              modmaxcovj=ij;                modmaxcovj=ij; 
            else if (ij < modmincovj)              else if (ij < modmincovj) 
              modmincovj=ij;                modmincovj=ij; 
            if ((ij < -1) && (ij > NCOVMAX)){             if (ij <0 || ij >1 ){
                printf("ERROR, IMaCh doesn't treat covariate with missing values V%d=-1, individual %d will be skipped.\n",Tvar[k],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)){
              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 );
              exit(1);               exit(1);
            }else             }else
Line 5363  void  concatwav(int wav[], int **dh, int Line 6016  void  concatwav(int wav[], int **dh, int
          /* nbcode[Tvar[j]][3]=2; */           /* nbcode[Tvar[j]][3]=2; */
          /* To be continued (not working yet). */           /* To be continued (not working yet). */
          ij=0; /* ij is similar to i but can jump over null modalities */           ij=0; /* ij is similar to i but can jump over null modalities */
          for (i=modmincovj; i<=modmaxcovj; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/  
            /* for (i=modmincovj; i<=modmaxcovj; i++) { */ /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/
            /* Skipping the case of missing values by reducing nbcode to 0 and 1 and not -1, 0, 1 */
            /* model=V1+V2+V3, if V2=-1, 0 or 1, then nbcode[2][1]=0 and nbcode[2][2]=1 instead of
             * nbcode[2][1]=-1, nbcode[2][2]=0 and nbcode[2][3]=1 */
            /*, could be restored in the future */
            for (i=0; i<=1; i++) { /* i= 1 to 2 for dichotomous, or from 1 to 3 or from -1 or 0 to 1 currently*/
            if (Ndum[i] == 0) { /* If nobody responded to this modality k */             if (Ndum[i] == 0) { /* If nobody responded to this modality k */
              break;               break;
            }             }
            ij++;             ij++;
            nbcode[Tvar[k]][ij]=i;  /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality. nbcode[1][1]=0 nbcode[1][2]=1*/             nbcode[Tvar[k]][ij]=i;  /* stores the original value of modality i in an array nbcode, ij modality from 1 to last non-nul modality. nbcode[1][1]=0 nbcode[1][2]=1 . Could be -1*/
            cptcode = ij; /* New max modality for covar j */             cptcode = ij; /* New max modality for covar j */
          } /* end of loop on modality i=-1 to 1 or more */           } /* end of loop on modality i=-1 to 1 or more */
          break;           break;
Line 5384  void  concatwav(int wav[], int **dh, int Line 6043  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 (k=0; k<= cptcode; k++) { /\* k=-1 ? k=0 to 1 *\//\* Could be 1 to 4 *\//\* cptcode=modmaxcovj *\/ */         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*/
      /*         /\*recode from 0 *\/ */           if(Tvar[k]<=0 || Tvar[k]>=NCOVMAX){
      /*                                      k is a modality. If we have model=V1+V1*sex  */             printf("Error k=%d \n",k);
      /*                                      then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */             exit(1);
      /*                                   But if some modality were not used, it is recoded from 0 to a newer modmaxcovj=cptcode *\/ */           }
      /*         } */           if(isnan(covar[Tvar[k]][i])){
      /*         /\* cptcode = ij; *\/ /\* New max modality for covar j *\/ */             printf("ERROR, IMaCh doesn't treat fixed quantitative covariate with missing values V%d=., individual %d will be skipped.\n",Tvar[k],i);
      /*         if (ij > ncodemax[j]) { */             fprintf(ficlog,"ERROR, currently IMaCh doesn't treat covariate with missing values V%d=., individual %d will be skipped.\n",Tvar[k],i);
      /*           printf( " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]);  */             fflush(ficlog);
      /*           fprintf(ficlog, " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]); */             exit(1);
      /*           break; */           }
      /*         } */         }
      /*   }  /\* end of loop on modality k *\/ */       } /* end Quanti */
    } /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/       } /* end of loop on model-covariate 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; 
    /* Look at fixed dummy (single or product) covariates to check empty modalities */     /* Look at fixed dummy (single or product) covariates to check empty modalities */
Line 5411  void  concatwav(int wav[], int **dh, int Line 6070  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(age*V3), 5(V3*V2) 6(V1*V4) *\/ */     /* for (i=0; i<=  maxncov-1; i++) { /\* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) *\/ */
    for (k=1; k<=  cptcovt; k++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */     for (k=1; k<=  cptcovt; k++) { /* cptcovt: total number of covariates of the model (2) nbocc(+)+1 = 8 excepting constant and age and age*age */
        /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */
      /*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+V4*V3+V5*age+V2+V1*V2+V1*age+V1, */         ++ij;/*    V5 + V4 + V3 + V4*V3 + V5*age + V2 +  V1*V2 + V1*age + 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+V4*V3+V5*age+V2+V1*V2+V1*age+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+V4*V3+V5*age+V2+V1*V2+V1*age+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 5433  void  concatwav(int wav[], int **dh, int Line 6101  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 5454  void  concatwav(int wav[], int **dh, int Line 6122  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 5522  void  concatwav(int wav[], int **dh, int Line 6192  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=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */      hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
Line 5711  void  concatwav(int wav[], int **dh, int Line 6381  void  concatwav(int wav[], int **dh, int
             varhe[ij][ji][(int)age] += doldm[ij][ji]*hf*hf;              varhe[ij][ji][(int)age] += doldm[ij][ji]*hf*hf;
       }        }
     }      }
                       /* 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 5772  void  concatwav(int wav[], int **dh, int Line 6444  void  concatwav(int wav[], int **dh, int
 /************ Variance ******************/  /************ Variance ******************/
  void varevsij(char optionfilefiname[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int *ncvyearp, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[], int nres)   void varevsij(char optionfilefiname[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int *ncvyearp, int ij, int estepm, int cptcov, int cptcod, int popbased, int mobilav, char strstart[], int nres)
  {   {
    /* Variance of health expectancies */     /** Variance of health expectancies 
    /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/      *  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);
    /* double **newm;*/      * double **newm;
    /* int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav)*/      * int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav) 
       */
       
    /* int movingaverage(); */     /* int movingaverage(); */
    double **dnewm,**doldm;     double **dnewm,**doldm;
    double **dnewmp,**doldmp;     double **dnewmp,**doldmp;
    int i, j, nhstepm, hstepm, h, nstepm ;     int i, j, nhstepm, hstepm, h, nstepm ;
      int first=0;
    int k;     int k;
    double *xp;     double *xp;
    double **gp, **gm;  /* for var eij */     double **gp, **gm;  /**< for var eij */
    double ***gradg, ***trgradg; /*for var eij */     double ***gradg, ***trgradg; /**< for var eij */
    double **gradgp, **trgradgp; /* for var p point j */     double **gradgp, **trgradgp; /**< for var p point j */
    double *gpp, *gmp; /* for var p point j */     double *gpp, *gmp; /**< for var p point j */
    double **varppt; /* for var p point j nlstate to nlstate+ndeath */     double **varppt; /**< for var p point j nlstate to nlstate+ndeath */
    double ***p3mat;     double ***p3mat;
    double age,agelim, hf;     double age,agelim, hf;
    /* double ***mobaverage; */     /* double ***mobaverage; */
Line 5828  void  concatwav(int wav[], int **dh, int Line 6502  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 w1*p1j+w2*p2j+... stand dev in()\n",estepm);     fprintf(ficresprobmorprev,"# probabilities of dying before estepm=%d months for people of exact age and weighted probabilities w1*p1j+w2*p2j+... 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 */     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][j]);       fprintf(ficresprobmorprev," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[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 5848  void  concatwav(int wav[], int **dh, int Line 6522  void  concatwav(int wav[], int **dh, int
    /* fprintf(fichtm, "#Local time at start: %s", strstart);*/     /* fprintf(fichtm, "#Local time at start: %s", strstart);*/
    fprintf(fichtm,"\n<li><h4> Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)</h4></li>\n");     fprintf(fichtm,"\n<li><h4> Computing probabilities of dying over estepm months as a weighted average (i.e global mortality independent of initial healh state)</h4></li>\n");
    fprintf(fichtm,"\n<br>%s  <br>\n",digitp);     fprintf(fichtm,"\n<br>%s  <br>\n",digitp);
    /*   } */  
    varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);     varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
    pstamp(ficresvij);     pstamp(ficresvij);
    fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n#  (weighted average of eij where weights are ");     fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n#  (weighted average of eij where weights are ");
Line 5903  void  concatwav(int wav[], int **dh, int Line 6577  void  concatwav(int wav[], int **dh, int
        for(i=1; i<=npar; i++){ /* Computes gradient x + delta*/         for(i=1; i<=npar; i++){ /* Computes gradient x + delta*/
          xp[i] = x[i] + (i==theta ?delti[theta]:0);           xp[i] = x[i] + (i==theta ?delti[theta]:0);
        }         }
                                  /**< Computes the prevalence limit with parameter theta shifted of delta up to ftolpl precision and 
           * returns into prlim .
           */
        prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij, nres);         prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij, nres);
                           
          /* If popbased = 1 we use crossection prevalences. Previous step is useless but prlim is created */
        if (popbased==1) {         if (popbased==1) {
          if(mobilav ==0){           if(mobilav ==0){
            for(i=1; i<=nlstate;i++)             for(i=1; i<=nlstate;i++)
Line 5915  void  concatwav(int wav[], int **dh, int Line 6592  void  concatwav(int wav[], int **dh, int
              prlim[i][i]=mobaverage[(int)age][i][ij];               prlim[i][i]=mobaverage[(int)age][i][ij];
          }           }
        }         }
                                  /**< Computes the shifted transition matrix \f$ {}{h}_p^{ij}x\f$ at horizon h.
        hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij,nres);  /* Returns p3mat[i][j][h] for h=1 to nhstepm */          */                      
          hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij,nres);  /* Returns p3mat[i][j][h] for h=0 to nhstepm */
          /**< And for each alive state j, sums over i \f$ w^i_x {}{h}_p^{ij}x\f$, which are the probability
           * at horizon h in state j including mortality.
           */
        for(j=1; j<= nlstate; j++){         for(j=1; j<= nlstate; j++){
          for(h=0; h<=nhstepm; h++){           for(h=0; h<=nhstepm; h++){
            for(i=1, gp[h][j]=0.;i<=nlstate;i++)             for(i=1, gp[h][j]=0.;i<=nlstate;i++)
              gp[h][j] += prlim[i][i]*p3mat[i][j][h];               gp[h][j] += prlim[i][i]*p3mat[i][j][h];
          }           }
        }         }
        /* Next for computing probability of death (h=1 means         /* Next for computing shifted+ probability of death (h=1 means
           computed over hstepm matrices product = hstepm*stepm months)             computed over hstepm matrices product = hstepm*stepm months) 
           as a weighted average of prlim.            as a weighted average of prlim(i) * p(i,j) p.3=w1*p13 + w2*p23 .
        */         */
        for(j=nlstate+1;j<=nlstate+ndeath;j++){         for(j=nlstate+1;j<=nlstate+ndeath;j++){
          for(i=1,gpp[j]=0.; i<= nlstate; i++)           for(i=1,gpp[j]=0.; i<= nlstate; i++)
            gpp[j] += prlim[i][i]*p3mat[i][j][1];             gpp[j] += prlim[i][i]*p3mat[i][j][1];
        }             }
        /* end probability of death */         
          /* Again with minus shift */
                                                   
        for(i=1; i<=npar; i++) /* Computes gradient x - delta */         for(i=1; i<=npar; i++) /* Computes gradient x - delta */
          xp[i] = x[i] - (i==theta ?delti[theta]:0);           xp[i] = x[i] - (i==theta ?delti[theta]:0);
                           
        prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp, ij, nres);         prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp, ij, nres);
                                                   
        if (popbased==1) {         if (popbased==1) {
Line 5964  void  concatwav(int wav[], int **dh, int Line 6646  void  concatwav(int wav[], int **dh, int
          for(i=1,gmp[j]=0.; i<= nlstate; i++)           for(i=1,gmp[j]=0.; i<= nlstate; i++)
            gmp[j] += prlim[i][i]*p3mat[i][j][1];             gmp[j] += prlim[i][i]*p3mat[i][j][1];
        }             }    
        /* end probability of death */         /* end shifting computations */
                           
          /**< Computing gradient matrix at horizon h 
           */
        for(j=1; j<= nlstate; j++) /* vareij */         for(j=1; j<= nlstate; j++) /* vareij */
          for(h=0; h<=nhstepm; h++){           for(h=0; h<=nhstepm; h++){
            gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];             gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta];
          }           }
                                  /**< Gradient of overall mortality p.3 (or p.j) 
        for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu */          */
          for(j=nlstate+1; j<= nlstate+ndeath; j++){ /* var mu mortality from j */
          gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta];           gradgp[theta][j]= (gpp[j]-gmp[j])/2./delti[theta];
        }         }
                                                   
      } /* End theta */       } /* End theta */
                        
        /* We got the gradient matrix for each theta and state j */                
      trgradg =ma3x(0,nhstepm,1,nlstate,1,npar); /* veij */       trgradg =ma3x(0,nhstepm,1,nlstate,1,npar); /* veij */
                                   
      for(h=0; h<=nhstepm; h++) /* veij */       for(h=0; h<=nhstepm; h++) /* veij */
Line 5987  void  concatwav(int wav[], int **dh, int Line 6673  void  concatwav(int wav[], int **dh, int
      for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */       for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */
        for(theta=1; theta <=npar; theta++)         for(theta=1; theta <=npar; theta++)
          trgradgp[j][theta]=gradgp[theta][j];           trgradgp[j][theta]=gradgp[theta][j];
                        /**< as well as its transposed matrix 
         */                
                                   
      hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */       hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
      for(i=1;i<=nlstate;i++)       for(i=1;i<=nlstate;i++)
        for(j=1;j<=nlstate;j++)         for(j=1;j<=nlstate;j++)
          vareij[i][j][(int)age] =0.;           vareij[i][j][(int)age] =0.;
                   
        /* Computing trgradg by matcov by gradg at age and summing over h
         * and k (nhstepm) formula 15 of article
         * Lievre-Brouard-Heathcote
         */
        
      for(h=0;h<=nhstepm;h++){       for(h=0;h<=nhstepm;h++){
        for(k=0;k<=nhstepm;k++){         for(k=0;k<=nhstepm;k++){
          matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov);           matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov);
Line 6004  void  concatwav(int wav[], int **dh, int Line 6696  void  concatwav(int wav[], int **dh, int
        }         }
      }       }
                                   
      /* pptj */       /* pptj is p.3 or p.j = trgradgp by cov by gradgp, variance of
         * p.j overall mortality formula 49 but computed directly because
         * we compute the grad (wix pijx) instead of grad (pijx),even if
         * wix is independent of theta.
         */
      matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov);       matprod2(dnewmp,trgradgp,nlstate+1,nlstate+ndeath,1,npar,1,npar,matcov);
      matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp);       matprod2(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp);
      for(j=nlstate+1;j<=nlstate+ndeath;j++)       for(j=nlstate+1;j<=nlstate+ndeath;j++)
Line 6107  void  concatwav(int wav[], int **dh, int Line 6803  void  concatwav(int wav[], int **dh, int
   int theta;    int theta;
       
   pstamp(ficresvpl);    pstamp(ficresvpl);
   fprintf(ficresvpl,"# Standard deviation of period (stable) prevalences \n");    fprintf(ficresvpl,"# Standard deviation of period (forward stable) prevalences \n");
   fprintf(ficresvpl,"# Age ");    fprintf(ficresvpl,"# Age ");
   if(nresult >=1)    if(nresult >=1)
     fprintf(ficresvpl," Result# ");      fprintf(ficresvpl," Result# ");
Line 6136  void  concatwav(int wav[], int **dh, int Line 6832  void  concatwav(int wav[], int **dh, int
       for(i=1; i<=npar; i++){ /* Computes gradient */        for(i=1; i<=npar; i++){ /* Computes gradient */
         xp[i] = x[i] + (i==theta ?delti[theta]:0);          xp[i] = x[i] + (i==theta ?delti[theta]:0);
       }        }
       if((int)age==79 ||(int)age== 80 ||(int)age== 81 )        /* if((int)age==79 ||(int)age== 80 ||(int)age== 81 ) */
         prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres);        /*        prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); */
       else        /* else */
         prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres);        prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres);
       for(i=1;i<=nlstate;i++){        for(i=1;i<=nlstate;i++){
         gp[i] = prlim[i][i];          gp[i] = prlim[i][i];
         mgp[theta][i] = prlim[i][i];          mgp[theta][i] = prlim[i][i];
       }        }
       for(i=1; i<=npar; i++) /* Computes gradient */        for(i=1; i<=npar; i++) /* Computes gradient */
         xp[i] = x[i] - (i==theta ?delti[theta]:0);          xp[i] = x[i] - (i==theta ?delti[theta]:0);
       if((int)age==79 ||(int)age== 80 ||(int)age== 81 )        /* if((int)age==79 ||(int)age== 80 ||(int)age== 81 ) */
         prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres);        /*        prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); */
       else        /* else */
         prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres);        prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres);
       for(i=1;i<=nlstate;i++){        for(i=1;i<=nlstate;i++){
         gm[i] = prlim[i][i];          gm[i] = prlim[i][i];
         mgm[theta][i] = prlim[i][i];          mgm[theta][i] = prlim[i][i];
Line 6198  void  concatwav(int wav[], int **dh, int Line 6894  void  concatwav(int wav[], int **dh, int
     fprintf(ficresvpl,"%.0f ",age );      fprintf(ficresvpl,"%.0f ",age );
     if(nresult >=1)      if(nresult >=1)
       fprintf(ficresvpl,"%d ",nres );        fprintf(ficresvpl,"%d ",nres );
     for(i=1; i<=nlstate;i++)      for(i=1; i<=nlstate;i++){
       fprintf(ficresvpl," %.5f (%.5f)",prlim[i][i],sqrt(varpl[i][(int)age]));        fprintf(ficresvpl," %.5f (%.5f)",prlim[i][i],sqrt(varpl[i][(int)age]));
         /* for(j=1;j<=nlstate;j++) */
         /*        fprintf(ficresvpl," %d %.5f ",j,prlim[j][i]); */
       }
     fprintf(ficresvpl,"\n");      fprintf(ficresvpl,"\n");
     free_vector(gp,1,nlstate);      free_vector(gp,1,nlstate);
     free_vector(gm,1,nlstate);      free_vector(gm,1,nlstate);
Line 6347  void varprob(char optionfilefiname[], do Line 7046  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 6416  void varprob(char optionfilefiname[], do Line 7116  void varprob(char optionfilefiname[], do
    fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");     fprintf(fichtm,"\n<li><h4> Computing and drawing one step probabilities with their confidence intervals</h4></li>\n");
    fprintf(fichtm,"\n");     fprintf(fichtm,"\n");
   
    fprintf(fichtm,"\n<li><h4> <a href=\"%s\">Matrix of variance-covariance of one-step probabilities (drawings)</a></h4> this page is important in order to visualize confidence intervals and especially correlation between disability and recovery, or more generally, way in and way back. %s</li>\n",optionfilehtmcov,optionfilehtmcov);     fprintf(fichtm,"\n<li><h4> <a href=\"%s\">Matrix of variance-covariance of one-step probabilities (drawings)</a></h4> this page is important in order to visualize confidence intervals and especially correlation between disability and recovery, or more generally, way in and way back. File %s</li>\n",optionfilehtmcov,optionfilehtmcov);
    fprintf(fichtmcov,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Matrix of variance-covariance of pairs of step probabilities</h4>\n",optionfilehtmcov, optionfilehtmcov);     fprintf(fichtmcov,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Matrix of variance-covariance of pairs of step probabilities</h4>\n",optionfilehtmcov, optionfilehtmcov);
    fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimated \     fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (p<inf>ij</inf>, p<inf>kl</inf>) are estimated \
 and drawn. It helps understanding how is the covariance between two incidences.\  and drawn. It helps understanding how is the covariance between two incidences.\
Line 6434  To be simple, these graphs help to under Line 7134  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=%s \n",nres, z1, modelresult[nres][z1], model);
            fprintf(ficlog,"Varprob modelresult[%d][%d]=%d model=%s \n",nres, z1, modelresult[nres][z1], model);
            /* fprintf(ficlog,"Varprob modelresult[%d][%d]=%d model=%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=%f ",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 6465  To be simple, these graphs help to under Line 7213  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+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age 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 6613  To be simple, these graphs help to under Line 7403  To be simple, these graphs help to under
                  }                   }
                                                                                                                                   
                  /* Eigen vectors */                   /* Eigen vectors */
                  v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12));                   if(1+(v1-lc1)*(v1-lc1)/cv12/cv12 <1.e-5){
                      printf(" Error sqrt of a negative number: %lf\n",1+(v1-lc1)*(v1-lc1)/cv12/cv12);
                      fprintf(ficlog," Error sqrt of a negative number: %lf\n",1+(v1-lc1)*(v1-lc1)/cv12/cv12);
                      v11=(1./sqrt(fabs(1+(v1-lc1)*(v1-lc1)/cv12/cv12)));
                    }else
                      v11=(1./sqrt(1+(v1-lc1)*(v1-lc1)/cv12/cv12));
                  /*v21=sqrt(1.-v11*v11); *//* error */                   /*v21=sqrt(1.-v11*v11); *//* error */
                  v21=(lc1-v1)/cv12*v11;                   v21=(lc1-v1)/cv12*v11;
                  v12=-v21;                   v12=-v21;
Line 6644  To be simple, these graphs help to under Line 7439  To be simple, these graphs help to under
                    fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);                     fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);
                    fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);                     fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);
                    fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not",      \                     fprintf(ficgp,"\nplot [-pi:pi] %11.3e+ %.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)), %11.3e +%.3f*(%11.3e*%11.3e*cos(t)+%11.3e*%11.3e*sin(t)) not",      \
                            mu1,std,v11,sqrt(lc1),v12,sqrt(fabs(lc2)),   \                             mu1,std,v11,sqrt(fabs(lc1)),v12,sqrt(fabs(lc2)), \
                            mu2,std,v21,sqrt(lc1),v22,sqrt(fabs(lc2))); /* For gnuplot only */                             mu2,std,v21,sqrt(fabs(lc1)),v22,sqrt(fabs(lc2))); /* For gnuplot only */
                  }else{                   }else{
                    first=0;                     first=0;
                    fprintf(fichtmcov," %d (%.3f),",(int) age, c12);                     fprintf(fichtmcov," %d (%.3f),",(int) age, c12);
Line 6664  To be simple, these graphs help to under Line 7459  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 6681  To be simple, these graphs help to under Line 7477  To be simple, these graphs help to under
 void printinghtml(char fileresu[], char title[], char datafile[], int firstpass, \  void printinghtml(char fileresu[], char title[], char datafile[], int firstpass, \
                   int lastpass, int stepm, int weightopt, char model[],\                    int lastpass, int stepm, int weightopt, char model[],\
                   int imx,int jmin, int jmax, double jmeanint,char rfileres[],\                    int imx,int jmin, int jmax, double jmeanint,char rfileres[],\
                   int popforecast, int mobilav, int prevfcast, int mobilavproj, int backcast, int estepm , \                    int popforecast, int mobilav, int prevfcast, int mobilavproj, int prevbcast, int estepm , \
                   double jprev1, double mprev1,double anprev1, double dateprev1, double dateproj1, double dateback1, \                    double jprev1, double mprev1,double anprev1, double dateprev1, double dateprojd, double dateback1, \
                   double jprev2, double mprev2,double anprev2, double dateprev2, double dateproj2, 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 6704  void printinghtml(char fileresu[], char Line 7500  void printinghtml(char fileresu[], char
  - Estimated back transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ",   - Estimated back transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ",
            stepm,subdirf2(fileresu,"PIJB_"),subdirf2(fileresu,"PIJB_"));             stepm,subdirf2(fileresu,"PIJB_"),subdirf2(fileresu,"PIJB_"));
    fprintf(fichtm,"\     fprintf(fichtm,"\
  - Period (stable) prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",   - Period (forward) prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",
            subdirf2(fileresu,"PL_"),subdirf2(fileresu,"PL_"));             subdirf2(fileresu,"PL_"),subdirf2(fileresu,"PL_"));
    fprintf(fichtm,"\     fprintf(fichtm,"\
  - Period (stable) back prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",   - Backward prevalence in each health state: <a href=\"%s\">%s</a> <br>\n",
            subdirf2(fileresu,"PLB_"),subdirf2(fileresu,"PLB_"));             subdirf2(fileresu,"PLB_"),subdirf2(fileresu,"PLB_"));
    fprintf(fichtm,"\     fprintf(fichtm,"\
  - (a) Life expectancies by health status at initial age, e<sub>i.</sub> (b) health expectancies by health status at initial age, e<sub>ij</sub> . If one or more covariates are included, specific tables for each value of the covariate are output in sequences within the same file (estepm=%2d months): \   - (a) Life expectancies by health status at initial age, e<sub>i.</sub> (b) health expectancies by health status at initial age, e<sub>ij</sub> . If one or more covariates are included, specific tables for each value of the covariate are output in sequences within the same file (estepm=%2d months): \
Line 6723  void printinghtml(char fileresu[], char Line 7519  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;
   
Line 6758  void printinghtml(char fileresu[], char Line 7554  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;
   
Line 6792  void printinghtml(char fileresu[], char Line 7588  void printinghtml(char fileresu[], char
       }        }
                 
        /* 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=%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 6813  divided by h: <sub>h</sub>P<sub>ij</sub> Line 7609  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. Or probability to survive 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 from state %d in each live state and total.\         fprintf(fichtm,"<br>\n- Survival functions in state %d and in any other live state (total).\
  Or probability to survive in various states (1 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 (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,"P_"),subdirf2(optionfilefiname,"P_"));
         fprintf(fichtm,"<img src=\"%s_%d-%d-%d.svg\">" ,subdirf2(optionfilefiname,"P_"),cpt,k1,nres);
      }       }
      if(backcast==1){       if(prevbcast==1){
        /* Period (stable) back 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> \
 <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);  <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);
        }         }
      }       }
      if(prevfcast==1){       if(prevfcast==1){
        /* Projection of prevalence up to period (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) 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, dateproj1, dateproj2, 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(backcast==1){       if(prevbcast==1){
       /* Back projection of prevalence up to stable (mixed) back-prevalence in each health state */        /* Back projection of prevalence up to stable (mixed) back-prevalence in each health state */
        for(cpt=1; cpt<=nlstate;cpt++){         for(cpt=1; cpt<=nlstate;cpt++){
          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 */
Line 6890  See page 'Matrix of variance-covariance Line 7694  See page 'Matrix of variance-covariance
    <a href=\"%s\">%s</a> <br>\n</li>",     <a href=\"%s\">%s</a> <br>\n</li>",
            estepm,subdirf2(fileresu,"STDE_"),subdirf2(fileresu,"STDE_"));             estepm,subdirf2(fileresu,"STDE_"),subdirf2(fileresu,"STDE_"));
    fprintf(fichtm,"\     fprintf(fichtm,"\
  - Variances and covariances of health expectancies by age. Status (i) based health expectancies (in state j), e<sup>ij</sup> are weighted by the period prevalences in each state i (if popbased=1, an additional computation is done using the cross-sectional prevalences, i.e population based) (estepm=%d months): <a href=\"%s\">%s</a><br>\n",   - Variances and covariances of health expectancies by age. Status (i) based health expectancies (in state j), e<sup>ij</sup> are weighted by the forward (period) prevalences in each state i (if popbased=1, an additional computation is done using the cross-sectional prevalences, i.e population based) (estepm=%d months): <a href=\"%s\">%s</a><br>\n",
            estepm, subdirf2(fileresu,"V_"),subdirf2(fileresu,"V_"));             estepm, subdirf2(fileresu,"V_"),subdirf2(fileresu,"V_"));
    fprintf(fichtm,"\     fprintf(fichtm,"\
  - Total life expectancy and total health expectancies to be spent in each health state e<sup>.j</sup> with their standard errors (if popbased=1, an additional computation is done using the cross-sectional prevalences, i.e population based) (estepm=%d months): <a href=\"%s\">%s</a> <br>\n",   - Total life expectancy and total health expectancies to be spent in each health state e<sup>.j</sup> with their standard errors (if popbased=1, an additional computation is done using the cross-sectional prevalences, i.e population based) (estepm=%d months): <a href=\"%s\">%s</a> <br>\n",
            estepm, subdirf2(fileresu,"T_"),subdirf2(fileresu,"T_"));             estepm, subdirf2(fileresu,"T_"),subdirf2(fileresu,"T_"));
    fprintf(fichtm,"\     fprintf(fichtm,"\
  - Standard deviation of period (stable) prevalences: <a href=\"%s\">%s</a> <br>\n",\   - Standard deviation of forward (period) prevalences: <a href=\"%s\">%s</a> <br>\n",\
            subdirf2(fileresu,"VPL_"),subdirf2(fileresu,"VPL_"));             subdirf2(fileresu,"VPL_"),subdirf2(fileresu,"VPL_"));
   
 /*  if(popforecast==1) fprintf(fichtm,"\n */  /*  if(popforecast==1) fprintf(fichtm,"\n */
Line 6906  See page 'Matrix of variance-covariance Line 7710  See page 'Matrix of variance-covariance
 /*  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=%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 */
      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<=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,"\">");
          
          /* if(nqfveff+nqtveff 0) */ /* Test to be done */
          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]){
            fprintf(fichtm," Warning Combination (%d) ignored because no cases ",k1); 
            continue;
          }
          fprintf(fichtm,"</a></li>");
        } /* cptcovn >0 */
      }
      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 */
Line 6920  See page 'Matrix of variance-covariance Line 7760  See page 'Matrix of variance-covariance
      /* 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<=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,"\"</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<=cptcoveff;cpt++){  /**< cptcoveff number of variables */
          fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]);           fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]);
            printf(" V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]);fflush(stdout);
          /* 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 */         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," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
       }        }
   
        fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");         fprintf(fichtm," (model=%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); 
Line 6937  See page 'Matrix of variance-covariance Line 7788  See page 'Matrix of variance-covariance
      }       }
      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 k1 */
   }/* End nres */    }/* End nres */
Line 6954  true period expectancies (those weighted Line 7807  true period expectancies (those weighted
 }  }
   
 /******************* Gnuplot file **************/  /******************* Gnuplot file **************/
 void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double bage, double fage , int prevfcast, int backcast, char pathc[], double p[], int offyear, int offbyear){  void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double bage, double fage , int prevfcast, int prevbcast, char pathc[], double p[], int offyear, int offbyear){
   
   char dirfileres[132],optfileres[132];    char dirfileres[132],optfileres[132];
   char gplotcondition[132], gplotlabel[132];    char gplotcondition[132], gplotlabel[132];
Line 7032  void printinggnuplot(char fileresu[], ch Line 7885  void printinggnuplot(char fileresu[], ch
           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: 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);
         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<=cptcoveff; 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 */            /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the value of the covariate corresponding to k1 combination *\/ */
             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 7062  void printinggnuplot(char fileresu[], ch Line 7916  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=%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 7070  void printinggnuplot(char fileresu[], ch Line 7924  void printinggnuplot(char fileresu[], ch
           if (i==cpt) fprintf(ficgp," %%lf (%%lf)");            if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
           else        fprintf(ficgp," %%*lf (%%*lf)");            else        fprintf(ficgp," %%*lf (%%*lf)");
         }          }
         fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2==%d ? $3+1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres);          fprintf(ficgp,"\" t\"Forward prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2==%d ? $3+1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres);
         for (i=1; i<= nlstate ; i ++) {          for (i=1; i<= nlstate ; i ++) {
           if (i==cpt) fprintf(ficgp," %%lf (%%lf)");            if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
           else fprintf(ficgp," %%*lf (%%*lf)");            else fprintf(ficgp," %%*lf (%%*lf)");
Line 7088  void printinggnuplot(char fileresu[], ch Line 7942  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 7108  void printinggnuplot(char fileresu[], ch Line 7963  void printinggnuplot(char fileresu[], ch
           } /* end covariate */            } /* end covariate */
         } /* end if no covariate */          } /* end if no covariate */
   
         if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */          if(prevbcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */
           /* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */            /* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */
           fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1, nres in 2 to be fixed */            fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1, nres in 2 to be fixed */
           if(cptcoveff ==0){            if(cptcoveff ==0){
Line 7116  void printinggnuplot(char fileresu[], ch Line 7971  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 7130  void printinggnuplot(char fileresu[], ch Line 7987  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)? $%d : 1/0) t 'Backward prevalence in state %d' w l lt 3",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \
                         2+cptcoveff*2+(cpt-1),  cpt );  /* 4 or 6 ?*/                          2+cptcoveff*2+(cpt-1),  cpt );  /* 4 or 6 ?*/
               }else{                }else{
                 fprintf(ficgp,"$%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 */
           } /* end if no covariate */            } /* end if no covariate */
           if(backcast == 1){            if(prevbcast == 1){
             fprintf(ficgp,", \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",subdirf2(fileresu,"VBL_"),nres-1,nres-1,nres);              fprintf(ficgp,", \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",subdirf2(fileresu,"VBL_"),nres-1,nres-1,nres);
             /* k1-1 error should be nres-1*/              /* k1-1 error should be nres-1*/
             for (i=1; i<= nlstate ; i ++) {              for (i=1; i<= nlstate ; i ++) {
Line 7154  void printinggnuplot(char fileresu[], ch Line 8011  void printinggnuplot(char fileresu[], ch
             }               } 
             fprintf(ficgp,"\" t\"\" w l lt 4");              fprintf(ficgp,"\" t\"\" w l lt 4");
           } /* end if backprojcast */            } /* end if backprojcast */
         } /* end if backcast */          } /* end if prevbcast */
         /* 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 */
Line 7170  void printinggnuplot(char fileresu[], ch Line 8027  void printinggnuplot(char fileresu[], ch
       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<=cptcoveff; k++){    /* For each covariate and each value */
         lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */          /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */
           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]])];
         fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);          fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
         sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);          sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
       }        }
Line 7233  void printinggnuplot(char fileresu[], ch Line 8092  void printinggnuplot(char fileresu[], ch
       if(m != 1 && TKresult[nres]!= k1)        if(m != 1 && TKresult[nres]!= k1)
         continue;          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<=cptcoveff; k++){    /* For each covariate and each value */
           lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */            /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */
             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(1,1,4) = 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]])];
           fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);            fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
           sprintf(gplotlabel+strlen(gplotlabel)," 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 */          for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
           fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);            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][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");
Line 7291  plot [%.f:%.f] \"%s\" every :::%d::%d u Line 8152  plot [%.f:%.f] \"%s\" every :::%d::%d u
         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 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<=cptcoveff; k++){    /* For each covariate and each value */
           lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */            lv=codtabm(k1,TnsdVar[Tvaraff[k]]);
             /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */
           /* 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]])];
           fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);            fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
           sprintf(gplotlabel+strlen(gplotlabel)," 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 */          for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
           fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);            fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]);
           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[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 7342  set ter svg size 640, 480\nunset log y\n Line 8205  set ter svg size 640, 480\nunset log y\n
         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<=cptcoveff; k++){    /* For each covariate and each value */
           lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */            lv=codtabm(k1,TnsdVar[Tvaraff[k]]);
             /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */
           /* 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]])];
           fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);            fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
           sprintf(gplotlabel+strlen(gplotlabel)," 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 */          for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
           fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);            fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]);
           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[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 7399  set ter svg size 640, 480\nunset log y\n Line 8264  set ter svg size 640, 480\nunset log y\n
       continue;        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 (period): '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<=cptcoveff; k++){    /* For each covariate and each value */
         lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */          /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */
           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]])];
         fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);          fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
         sprintf(gplotlabel+strlen(gplotlabel)," 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 */        for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
         fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);          fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]);
         sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[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 7442  set ter svg size 640, 480\nunset log y\n Line 8309  set ter svg size 640, 480\nunset log y\n
       
       
 /* 7eme */  /* 7eme */
   if(backcast == 1){    if(prevbcast == 1){
     /* CV back preval stable (period) 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)        if(m != 1 && TKresult[nres]!= k1)
         continue;          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 Back preval stable (period): '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<=cptcoveff; k++){    /* For each covariate and each value */
           lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */            /* lv= decodtabm(k1,k,cptcoveff); /\* Should be the covariate number corresponding to k1 combination *\/ */
             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]])];
           fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);            fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
           sprintf(gplotlabel+strlen(gplotlabel)," 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 */          for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
           fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);            fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]);
           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[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 7483  set ter svg size 640, 480\nunset log y\n Line 8352  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 7494  set ter svg size 640, 480\nunset log y\n Line 8363  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 if backcast */    } /* End if prevbcast */
       
   /* 8eme */    /* 8eme */
   if(prevfcast==1){    if(prevfcast==1){
     /* Projection from cross-sectional to stable (period) 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 */
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         continue;          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 stable (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<=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= 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]])];
           fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);            fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
           sprintf(gplotlabel+strlen(gplotlabel)," 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 */          for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
           fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);            fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]);
           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[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");
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             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++;
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     } /* end covariate */      } /* end covariate */
   } /* End if prevfcast */    } /* End if prevfcast */
       
   if(backcast==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 */
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         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<=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= 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(1,1,4) = 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]])];
           fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);            fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
           sprintf(gplotlabel+strlen(gplotlabel)," 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 */          for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
           fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);            fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]);
           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[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");
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             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]]); /* 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(1,1,4) = 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++;
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         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 if backcast */    } /* End if prevbcast */
       
       
   /* 9eme writing MLE parameters */    /* 9eme writing MLE parameters */
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       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<=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= 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(1,1,4) = 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]])];
         fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);          fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
         sprintf(gplotlabel+strlen(gplotlabel)," 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 */        for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
         fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);          fprintf(ficgp," V%d=%f ",Tvqresult[nres][resultmodel[nres][k4]],Tqresult[nres][resultmodel[nres][k4]]);
         sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[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");
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             /* 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+V4*V3+V5*age+V2+V1*V2+V1*age+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+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */                  if(cptcovage >0){ /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+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*%d*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);;                      if(ij <=cptcovage) { /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */
                     }else{ /* quantitative */                        if(DummyV[j]==0){/* Bug valgrind */
                       fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* Tqinvresult in decoderesult */                          fprintf(ficgp,"+p%d*%d*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);;
                       /* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */                        }else{ /* quantitative */
                           fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* Tqinvresult in decoderesult */
                           /* fprintf(ficgp,"+p%d*%d*x",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{ /* Vn*Vm 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{ /* Vn*Vm 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]]); /*  */
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                   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*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */                    /* fprintf(ficgp,"+p%d*%d*x",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){
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                 fprintf(ficgp,"+exp(p%d+p%d*x+p%d*x*x",k3+(cpt-1)*ncovmodel,k3+(cpt-1)*ncovmodel+1,k3+(cpt-1)*ncovmodel+1+nagesqr);                  fprintf(ficgp,"+exp(p%d+p%d*x+p%d*x*x",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*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);                  case 1:
                        /* fprintf(ficgp,"+p%d*%d*x",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*%d*x",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*%d*x",k3+(cpt-1)*ncovmodel+1+j+nagesqr,nbcode[Tvar[j]][codtabm(k1,j)]); */
                             fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tinvresult[nres][Tvar[j]]);
                             /* fprintf(ficgp,"+p%d*%d*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);; */
                             /* fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */
                           }else{ /* quantitative */
                             /* fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /\* Tqinvresult in decoderesult *\/ */
                             fprintf(ficgp,"+p%d*%f*x",k3+(cpt-1)*ncovmodel+1+j+nagesqr,Tqinvresult[nres][Tvar[j]]); /* Tqinvresult in decoderesult */
                             /* fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /\* Tqinvresult in decoderesult *\/ */
                             /* fprintf(ficgp,"+p%d*%d*x",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{ /* Vn*Vm 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*%d*x",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,")");
             }              }
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               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);
           }            }
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    int modcovmax =1;     int modcovmax =1;
    int mobilavrange, mob;     int mobilavrange, mob;
    int iage=0;     int iage=0;
      int firstA1=0, firstA2=0;
   
    double sum=0., sumr=0.;     double sum=0., sumr=0.;
    double age;     double age;
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      } /* age */       } /* age */
      /* Thus we have agemingood and agemaxgood as well as goodr for raw (preobs) */       /* Thus we have agemingood and agemaxgood as well as goodr for raw (preobs) */
      /* but they will change */       /* but they will change */
        firstA1=0;firstA2=0;
      for (age=fage-(mob-1)/2; age>=bage; age--){/* From oldest to youngest, filling up to the youngest */       for (age=fage-(mob-1)/2; age>=bage; age--){/* From oldest to youngest, filling up to the youngest */
        sumnewm[cptcod]=0.;         sumnewm[cptcod]=0.;
        sumnewmr[cptcod]=0.;         sumnewmr[cptcod]=0.;
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          sumr+=probs[(int)age][i][cptcod];           sumr+=probs[(int)age][i][cptcod];
        }         }
        if(fabs(sum - 1.) > 1.e-3) { /* bad */         if(fabs(sum - 1.) > 1.e-3) { /* bad */
          printf("Moving average A1: For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one (%f) at any descending age! age=%d, could you increase bage=%d\n",cptcod,sumr, (int)age, (int)bage);           if(!firstA1){
              firstA1=1;
              printf("Moving average A1: For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one (%f) at any descending age! age=%d, could you increase bage=%d. Others in log file...\n",cptcod,sumr, (int)age, (int)bage);
            }
            fprintf(ficlog,"Moving average A1: For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one (%f) at any descending age! age=%d, could you increase bage=%d\n",cptcod,sumr, (int)age, (int)bage);
        } /* end bad */         } /* end bad */
        /* else{ /\* We found some ages summing to one, we will smooth the oldest *\/ */         /* else{ /\* We found some ages summing to one, we will smooth the oldest *\/ */
        if(fabs(sumr - 1.) > 1.e-3) { /* bad */         if(fabs(sumr - 1.) > 1.e-3) { /* bad */
          printf("Moving average A2: For this combination of covariate cptcod=%d, the raw prevalence doesn't sums to one (%f) even with smoothed values at young ages! age=%d, could you increase bage=%d\n",cptcod,sumr, (int)age, (int)bage);           if(!firstA2){
              firstA2=1;
              printf("Moving average A2: For this combination of covariate cptcod=%d, the raw prevalence doesn't sums to one (%f) even with smoothed values at young ages! age=%d, could you increase bage=%d. Others in log file...\n",cptcod,sumr, (int)age, (int)bage);
            }
            fprintf(ficlog,"Moving average A2: For this combination of covariate cptcod=%d, the raw prevalence doesn't sums to one (%f) even with smoothed values at young ages! age=%d, could you increase bage=%d\n",cptcod,sumr, (int)age, (int)bage);
        } /* end bad */         } /* end bad */
      }/* age */       }/* age */
   
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  }/* End movingaverage */   }/* End movingaverage */
     
   
    
 /************** Forecasting ******************/  /************** Forecasting ******************/
  void prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double ***prev, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){  /* void prevforecast(char fileres[], double dateintmean, double anprojd, double mprojd, double jprojd, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double ***prev, double bage, double fage, int firstpass, int lastpass, double anprojf, double p[], int cptcoveff)*/
   /* proj1, year, month, day of starting projection   void prevforecast(char fileres[], double dateintmean, double dateprojd, double dateprojf, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double ***prev, double bage, double fage, int firstpass, int lastpass, double p[], int cptcoveff){
     /* dateintemean, mean date of interviews
        dateprojd, year, month, day of starting projection 
        dateprojf date of end of projection;year of end of projection (same day and month as proj1).
      agemin, agemax range of age       agemin, agemax range of age
      dateprev1 dateprev2 range of dates during which prevalence is computed       dateprev1 dateprev2 range of dates during which prevalence is computed
      anproj2 year of en of projection (same day and month as proj1).  
   */    */
     /* double anprojd, mprojd, jprojd; */
     /* double anprojf, mprojf, jprojf; */
   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, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;    double agelim, ppij, yp,yp1,yp2;
   double *popeffectif,*popcount;    double *popeffectif,*popcount;
   double ***p3mat;    double ***p3mat;
   /* double ***mobaverage; */    /* double ***mobaverage; */
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   if(estepm > stepm){ /* Yes every two year */    if(estepm > stepm){ /* Yes every two year */
     stepsize=2;      stepsize=2;
   }    }
     hstepm=hstepm/stepm;
   
   hstepm=hstepm/stepm;     
   yp1=modf(dateintmean,&yp);/* extracts integral of datemean in yp  and    /* yp1=modf(dateintmean,&yp);/\* extracts integral of datemean in yp  and */
                                fractional in yp1 */    /*                              fractional in yp1 *\/ */
   anprojmean=yp;    /* aintmean=yp; */
   yp2=modf((yp1*12),&yp);    /* yp2=modf((yp1*12),&yp); */
   mprojmean=yp;    /* mintmean=yp; */
   yp1=modf((yp2*30.5),&yp);    /* yp1=modf((yp2*30.5),&yp); */
   jprojmean=yp;    /* jintmean=yp; */
   if(jprojmean==0) jprojmean=1;    /* if(jintmean==0) jintmean=1; */
   if(mprojmean==0) jprojmean=1;    /* if(mintmean==0) mintmean=1; */
   
   
     /* date2dmy(dateintmean,&jintmean,&mintmean,&aintmean); */
     /* date2dmy(dateprojd,&jprojd, &mprojd, &anprojd); */
     /* date2dmy(dateprojf,&jprojf, &mprojf, &anprojf); */
   i1=pow(2,cptcoveff);    i1=pow(2,cptcoveff);
   if (cptcovn < 1){i1=1;}    if (cptcovn < 1){i1=1;}
       
   fprintf(ficresf,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2);     fprintf(ficresf,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jintmean,mintmean,aintmean,dateintmean,dateprev1,dateprev2); 
       
   fprintf(ficresf,"#****** Routine prevforecast **\n");    fprintf(ficresf,"#****** Routine prevforecast **\n");
       
 /*            if (h==(int)(YEARM*yearp)){ */  /*            if (h==(int)(YEARM*yearp)){ */
   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]){
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     }      }
     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]);
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         fprintf(ficresf," p%d%d",i,j);          fprintf(ficresf," p%d%d",i,j);
       fprintf(ficresf," wp.%d",j);        fprintf(ficresf," wp.%d",j);
     }      }
     for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) {      for (yearp=0; yearp<=(anprojf-anprojd);yearp +=stepsize) {
       fprintf(ficresf,"\n");        fprintf(ficresf,"\n");
       fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp);           fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jprojd,mprojd,anprojd+yearp);   
       /* for (agec=fage; agec>=(ageminpar-1); agec--){  */        /* for (agec=fage; agec>=(ageminpar-1); agec--){  */
       for (agec=fage; agec>=(bage); agec--){         for (agec=fage; agec>=(bage); agec--){ 
         nhstepm=(int) rint((agelim-agec)*YEARM/stepm);           nhstepm=(int) rint((agelim-agec)*YEARM/stepm); 
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         }          }
         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,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm);            fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); /* TnsdVar[Tvaraff]  correct */
           fprintf(ficresf,"%.f %.f ",anprojd+yearp,agec+h*hstepm/YEARM*stepm);
                   
         for(j=1; j<=nlstate+ndeath;j++) {          for(j=1; j<=nlstate+ndeath;j++) {
           ppij=0.;            ppij=0.;
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 }  }
   
 /************** Back Forecasting ******************/  /************** Back Forecasting ******************/
  void prevbackforecast(char fileres[], double ***prevacurrent, double anback1, double mback1, double jback1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anback2, double p[], int cptcoveff){   /* void prevbackforecast(char fileres[], double ***prevacurrent, double anback1, double mback1, double jback1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anback2, double p[], int cptcoveff){ */
   /* back1, year, month, day of starting backection   void prevbackforecast(char fileres[], double ***prevacurrent, double dateintmean, double dateprojd, double dateprojf, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double p[], int cptcoveff){
     /* back1, year, month, day of starting backprojection
      agemin, agemax range of age       agemin, agemax range of age
      dateprev1 dateprev2 range of dates during which prevalence is computed       dateprev1 dateprev2 range of dates during which prevalence is computed
      anback2 year of end of backprojection (same day and month as back1).       anback2 year of end of backprojection (same day and month as back1).
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   */    */
   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,jprojmean,mprojmean,anprojmean;    double agelim, ppij, ppi, yp,yp1,yp2; /* ,jintmean,mintmean,aintmean;*/
   double *popeffectif,*popcount;    double *popeffectif,*popcount;
   double ***p3mat;    double ***p3mat;
   /* double ***mobaverage; */    /* double ***mobaverage; */
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   }    }
       
   hstepm=hstepm/stepm;    hstepm=hstepm/stepm;
   yp1=modf(dateintmean,&yp);/* extracts integral of datemean in yp  and    /* yp1=modf(dateintmean,&yp);/\* extracts integral of datemean in yp  and */
                                fractional in yp1 */    /*                              fractional in yp1 *\/ */
   anprojmean=yp;    /* aintmean=yp; */
   yp2=modf((yp1*12),&yp);    /* yp2=modf((yp1*12),&yp); */
   mprojmean=yp;    /* mintmean=yp; */
   yp1=modf((yp2*30.5),&yp);    /* yp1=modf((yp2*30.5),&yp); */
   jprojmean=yp;    /* jintmean=yp; */
   if(jprojmean==0) jprojmean=1;    /* if(jintmean==0) jintmean=1; */
   if(mprojmean==0) jprojmean=1;    /* if(mintmean==0) jintmean=1; */
       
   i1=pow(2,cptcoveff);    i1=pow(2,cptcoveff);
   if (cptcovn < 1){i1=1;}    if (cptcovn < 1){i1=1;}
       
   fprintf(ficresfb,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2);    fprintf(ficresfb,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jintmean,mintmean,aintmean,dateintmean,dateprev1,dateprev2);
   printf("# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2);    printf("# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jintmean,mintmean,aintmean,dateintmean,dateprev1,dateprev2);
       
   fprintf(ficresfb,"#****** Routine prevbackforecast **\n");    fprintf(ficresfb,"#****** Routine prevbackforecast **\n");
       
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     }      }
     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]);
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         fprintf(ficresfb," b%d%d",i,j);          fprintf(ficresfb," b%d%d",i,j);
       fprintf(ficresfb," b.%d",j);        fprintf(ficresfb," b.%d",j);
     }      }
     for (yearp=0; yearp>=(anback2-anback1);yearp -=stepsize) {      for (yearp=0; yearp>=(anbackf-anbackd);yearp -=stepsize) {
       /* for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) {  */        /* for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) {  */
       fprintf(ficresfb,"\n");        fprintf(ficresfb,"\n");
       fprintf(ficresfb,"\n# Back Forecasting at date %.lf/%.lf/%.lf ",jback1,mback1,anback1+yearp);        fprintf(ficresfb,"\n# Back Forecasting at date %.lf/%.lf/%.lf ",jbackd,mbackd,anbackd+yearp);
       /* printf("\n# Back Forecasting at date %.lf/%.lf/%.lf ",jback1,mback1,anback1+yearp); */        /* printf("\n# Back Forecasting at date %.lf/%.lf/%.lf ",jback1,mback1,anback1+yearp); */
       /* for (agec=bage; agec<=agemax-1; agec++){  /\* testing *\/ */        /* for (agec=bage; agec<=agemax-1; agec++){  /\* testing *\/ */
       for (agec=bage; agec<=fage; agec++){  /* testing */        for (agec=bage; agec<=fage; agec++){  /* testing */
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         }          }
         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 ",anback1+yearp,agec-h*hstepm/YEARM*stepm);          fprintf(ficresfb,"%.f %.f ",anbackd+yearp,agec-h*hstepm/YEARM*stepm);
         for(i=1; i<=nlstate+ndeath;i++) {          for(i=1; i<=nlstate+ndeath;i++) {
           ppij=0.;ppi=0.;            ppij=0.;ppi=0.;
           for(j=1; j<=nlstate;j++) {            for(j=1; j<=nlstate;j++) {
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 /* Variance of prevalence limit: varprlim */  /* Variance of prevalence limit: varprlim */
  void varprlim(char fileresu[], int nresult, double ***prevacurrent, int mobilavproj, double bage, double fage, double **prlim, int *ncvyearp, double ftolpl, double p[], double **matcov, double *delti, int stepm, int cptcoveff){   void varprlim(char fileresu[], int nresult, double ***prevacurrent, int mobilavproj, double bage, double fage, double **prlim, int *ncvyearp, double ftolpl, double p[], double **matcov, double *delti, int stepm, int cptcoveff){
     /*------- Variance of period (stable) prevalence------*/         /*------- Variance of forward period (stable) prevalence------*/   
     
    char fileresvpl[FILENAMELENGTH];       char fileresvpl[FILENAMELENGTH];  
    FILE *ficresvpl;     FILE *ficresvpl;
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     strcpy(fileresvpl,"VPL_");      strcpy(fileresvpl,"VPL_");
     strcat(fileresvpl,fileresu);      strcat(fileresvpl,fileresu);
     if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {      if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {
       printf("Problem with variance of period (stable) prevalence  resultfile: %s\n", fileresvpl);        printf("Problem with variance of forward period (stable) prevalence  resultfile: %s\n", fileresvpl);
       exit(0);        exit(0);
     }      }
     printf("Computing Variance-covariance of period (stable) prevalence: file '%s' ...", fileresvpl);fflush(stdout);      printf("Computing Variance-covariance of forward period (stable) prevalence: file '%s' ...", fileresvpl);fflush(stdout);
     fprintf(ficlog, "Computing Variance-covariance of period (stable) prevalence: file '%s' ...", fileresvpl);fflush(ficlog);      fprintf(ficlog, "Computing Variance-covariance of forward period (stable) prevalence: file '%s' ...", fileresvpl);fflush(ficlog);
           
     /*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++){*/
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     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(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<=cptcoveff;j++) {
         fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);          fprintf(ficresvpl,"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]])]);
         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=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]);
         fprintf(ficresvpl," V%d=%f ",Tvqresult[nres][j],Tqresult[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][j]);          fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]);
       }         } 
       fprintf(ficresvpl,"******\n");        fprintf(ficresvpl,"******\n");
       printf("******\n");        printf("******\n");
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     }      }
           
     fclose(ficresvpl);      fclose(ficresvpl);
     printf("done variance-covariance of period prevalence\n");fflush(stdout);      printf("done variance-covariance of forward period prevalence\n");fflush(stdout);
     fprintf(ficlog,"done variance-covariance of period prevalence\n");fflush(ficlog);      fprintf(ficlog,"done variance-covariance of forward period prevalence\n");fflush(ficlog);
   
  }   }
 /* Variance of back prevalence: varbprlim */  /* Variance of back prevalence: varbprlim */
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        printf("\n#****** ");         printf("\n#****** ");
        fprintf(ficlog,"\n#****** ");         fprintf(ficlog,"\n#****** ");
        for(j=1;j<=cptcoveff;j++) {         for(j=1;j<=cptcoveff;j++) {
          fprintf(ficresvbl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);           fprintf(ficresvbl,"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]])]);
          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=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]);
          fprintf(ficresvbl," V%d=%f ",Tvqresult[nres][j],Tqresult[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][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 8861  void prwizard(int ncovmodel, int nlstate Line 9837  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 8869  double gompertz(double x[]) Line 9845  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 -2*L*num/sump;    return -2*L*num/sump;
 }  }
Line 8899  double gompertz(double x[]) Line 9881  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 8992  int readdata(char datafile[], int firsto Line 9974  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 9025  int readdata(char datafile[], int firsto Line 10012  int readdata(char datafile[], int firsto
     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 9093  int readdata(char datafile[], int firsto Line 10125  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 9147  int readdata(char datafile[], int firsto Line 10179  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 9186  int readdata(char datafile[], int firsto Line 10222  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 9206  int readdata(char datafile[], int firsto Line 10249  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 9299  void removefirstspace(char **stri){/*, c Line 10344  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+V4*V3+V5*age+V2+V1*V2+V1*age+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+V4*V3+V5*age+V2+V1*V2+V1*age+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=%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=%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 Vn*age 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=%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=%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=%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=%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=%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=%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+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */      for(k1=1; k1<= cptcovt ;k1++){ /* loop on model: model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+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=%s\n",Tvarsel[k2], resultline, model);
         fprintf(ficlog,"Error in result line: variable V%d is missing in model; result: %s, model=%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=%s\n",k2, resultline, model);
         fprintf(ficlog,"Error in result line: %d doubled; result: %s, model=%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+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */    /* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+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 => V4*2**(0) + V3*2**(1) + V1*2**(2) = 5 + (1offset) = 6*/    /* should correspond to the combination 6 of dummy: V4=1, V3=0, V1=1 => V4*2**(0) + V3*2**(1) + V1*2**(2) = 1*1 + 0*2 + 1*4 = 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 => V4*2**(0) + V3*2**(1) + V1*2**(2) = 3 + (1offset) = 4*/    /* should give a combination of dummy V4=1, V3=1, V1=0 => V4*2**(0) + V3*2**(1) + V1*2**(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 */
   /* V5*age V5 known which value for nres?  */    /* V5*age 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 9432  int decodemodel( char model[], int lasto Line 10589  int decodemodel( char model[], int lasto
         * - cptcovs number of simple covariates          * - cptcovs number of simple covariates
         * - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10          * - Tvar[k] is the id of the kth covariate Tvar[1]@12 {1, 2, 3, 8, 10, 11, 8, 3, 7, 8, 5, 6}, thus Tvar[5=V7*V8]=10
         *     which is a new column after the 9 (ncovcol) variables.           *     which is a new column after the 9 (ncovcol) variables. 
         * - if k is a product Vn*Vm covar[k][i] is filled with correct values for each individual          * - 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 V7*V8 is 5, and second V5*V6 is 6.          *    Tprod[1]@2 {5, 6}: position of first product V7*V8 is 5, and second V5*V6 is 6.
         * - Tvard[k]  p Tvard[1][1]@4 {7, 8, 5, 6} for V7*V8 and V5*V6 .          * - Tvard[k]  p Tvard[1][1]@4 {7, 8, 5, 6} for V7*V8 and V5*V6 .
         */          */
   /* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age 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 9514  int decodemodel( char model[], int lasto Line 10672  int decodemodel( char model[], int lasto
        *       Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + V8    d1   d1   d2  d2         *       Model V2 + V1 + V3*age + V3 + V5*V6 + V7*V8 + V8*age + 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    V5*V6?   V7*V8?  ?       V8            * covar[k][i]= V2   V1      ?      V3    V5*V6?   V7*V8?  ?       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 + V5*V6 + V7*V8 + V3*age + V8*age         * Model V1 + V2 + V3 + V8 + V5*V6 + V7*V8 + V3*age + V8*age
        * 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 9544  int decodemodel( char model[], int lasto Line 10702  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+V3*age strb=V3*age stra=V2+V1+V4 */                                            modelsav==V2+V1+V5*age+V4+V3*age strb=V3*age stra=V2+V1V5*age+V4 */    /* <model> "V5+V4+V3+V4*V3+V5*age+V1*age+V1" strb="V5" stra="V4+V3+V4*V3+V5*age+V1*age+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+V3*age strb=V3*age */          if (strchr(strb,'*')) {  /**< Model includes a product V2+V1+V5*age+ V4+V3*age strb=V3*age */
           cutl(strc,strd,strb,'*'); /**< strd*strc  Vm*Vn: strb=V3*age(input) strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 */            cutl(strc,strd,strb,'*'); /**< k=1 strd*strc  Vm*Vn: strb=V3*age(input) strc=age strd=V3 ; V3*V2 strc=V2, strd=V3 */
           if (strcmp(strc,"age")==0) { /**< Model includes age: Vn*age */            if (strcmp(strc,"age")==0) { /**< Model includes age: Vn*age */
             /* 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+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1 */              Tvar[k]=atoi(stre);  /* V2+V1+V5*age+V4+V3*age Tvar[5]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age 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+V1*age Tvar[2]=1, Tage[1]=2 */              Tage[cptcovage]=k;  /*  V2+V1+V4+V3*age Tvar[4]=3, Tage[1] = 4 or V1+V1*age Tvar[2]=1, Tage[1]=2 */
             /*printf("stre=%s ", stre);*/              /*printf("stre=%s ", stre);*/
           } else if (strcmp(strd,"age")==0) { /* or age*Vn */            } else if (strcmp(strd,"age")==0) { /* or age*Vn */
             cptcovprod--;              cptcovprod--;
Line 9576  int decodemodel( char model[], int lasto Line 10735  int decodemodel( char model[], int lasto
             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; /* 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+V1*V4+age*V3+V3*V2                                                  If already ncovcol=4 and model= V2 + V1 + V1*V4 + age*V3 + V3*V2
                                                 Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */                                                  thus after V4 we invent V5 and V6 because age*V3 will be computed in 4
                                                   Tvar[3=V1*V4]=4+1=5 Tvar[5=V3*V2]=4 + 2= 6, Tvar[4=age*V3]=4 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 + age*V1 + V2 + V3 + age*V2 + age*V3 + V1*V2 + 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 double fixed dummy covariates */              Typevar[k]=2;  /* 2 for double fixed dummy covariates */
             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(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2  */              Tprod[k1]=k;  /* Tprod[1]=3(=V1*V4) for V2+V1+V1*V4+age*V3+V3*V2  */
             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 Vn*Vm at the end of Tvar */              k2=k2+2;  /* k2 is initialize to -1, We want to store the n and m in Vn*Vm 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) *\/ */
Line 9596  int decodemodel( char model[], int lasto Line 10766  int decodemodel( char model[], int lasto
             }              }
           } /* 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 9627  int decodemodel( char model[], int lasto Line 10797  int decodemodel( char model[], int lasto
    model=        V5 + V4 +V3 + V4*V3 + V5*age + V2 + V1*V2 + V1*age + V5*age, V1 is not used saving its place     model=        V5 + V4 +V3 + V4*V3 + V5*age + V2 + V1*V2 + V1*age + 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 9636  int decodemodel( char model[], int lasto Line 10806  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=Vn*Vm for product */    /* Tvar[k] is the value n of Vn with n varying for 1 to nvcol, or p  Vp=Vn*Vm 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;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;
Line 9655  Dummy[k] 0=dummy (0 1), 1 quantitative ( Line 10825  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+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */        TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
Line 9666  Dummy[k] 0=dummy (0 1), 1 quantitative ( Line 10837  Dummy[k] 0=dummy (0 1), 1 quantitative (
       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+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */        TvarFD[ncoveff]=Tvar[k]; /* TvarFD[1]=V1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
       TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */        TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
Line 9676  Dummy[k] 0=dummy (0 1), 1 quantitative ( Line 10848  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;
Line 9692  Dummy[k] 0=dummy (0 1), 1 quantitative ( Line 10864  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+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */        TvarVind[ncovv]=k; /* TvarVind[2]=2  TvarVind[3]=3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */
Line 9707  Dummy[k] 0=dummy (0 1), 1 quantitative ( Line 10880  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+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */        TvarVind[ncovv]=k; /* TvarVind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Any time varying singele */
       TvarVQ[nqtveff]=Tvar[k]; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */        TvarVQ[nqtveff]=Tvar[k]; /* TvarVQ[1]=V5 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */
Line 9894  Dummy[k] 0=dummy (0 1), 1 quantitative ( Line 11067  Dummy[k] 0=dummy (0 1), 1 quantitative (
   /* Searching for doublons in the model */    /* Searching for doublons in the model */
   for(k1=1; k1<= cptcovt;k1++){    for(k1=1; k1<= cptcovt;k1++){
     for(k2=1; k2 <k1;k2++){      for(k2=1; k2 <k1;k2++){
       if((Typevar[k1]==Typevar[k2]) && (Fixed[Tvar[k1]]==Fixed[Tvar[k2]]) && (Dummy[Tvar[k1]]==Dummy[Tvar[k2]] )){        /* if((Typevar[k1]==Typevar[k2]) && (Fixed[Tvar[k1]]==Fixed[Tvar[k2]]) && (Dummy[Tvar[k1]]==Dummy[Tvar[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[Tvar[k1]],Dummy[Tvar[k1]]);              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]);
             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[Tvar[k1]],Dummy[Tvar[k1]]); fflush(ficlog);              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);
             return(1);              return(1);
           }            }
         }else if (Typevar[k1] ==2){          }else if (Typevar[k1] ==2){
Line 10070  BOOL IsWow64() Line 11244  BOOL IsWow64()
 #endif  #endif
   
 void syscompilerinfo(int logged)  void syscompilerinfo(int logged)
  {  {
    /* #include "syscompilerinfo.h"*/  #include <stdint.h>
   
     /* #include "syscompilerinfo.h"*/
    /* command line Intel compiler 32bit windows, XP compatible:*/     /* command line Intel compiler 32bit windows, XP compatible:*/
    /* /GS /W3 /Gy     /* /GS /W3 /Gy
       /Zc:wchar_t /Zi /O2 /Fd"Release\vc120.pdb" /D "WIN32" /D "NDEBUG" /D        /Zc:wchar_t /Zi /O2 /Fd"Release\vc120.pdb" /D "WIN32" /D "NDEBUG" /D
Line 10106  void syscompilerinfo(int logged) Line 11282  void syscompilerinfo(int logged)
       /ManifestFile:"Release\IMaCh.exe.intermediate.manifest" /OPT:ICF        /ManifestFile:"Release\IMaCh.exe.intermediate.manifest" /OPT:ICF
       /NOLOGO /TLBID:1        /NOLOGO /TLBID:1
    */     */
   
   
 #if defined __INTEL_COMPILER  #if defined __INTEL_COMPILER
 #if defined(__GNUC__)  #if defined(__GNUC__)
         struct utsname sysInfo;  /* For Intel on Linux and OS/X */          struct utsname sysInfo;  /* For Intel on Linux and OS/X */
Line 10122  void syscompilerinfo(int logged) Line 11300  void syscompilerinfo(int logged)
    }     }
 #endif  #endif
   
 #include <stdint.h>  
   
    printf("Compiled with:");if(logged)fprintf(ficlog,"Compiled with:");     printf("Compiled with:");if(logged)fprintf(ficlog,"Compiled with:");
 #if defined(__clang__)  #if defined(__clang__)
    printf(" Clang/LLVM");if(logged)fprintf(ficlog," Clang/LLVM");       /* Clang/LLVM. ---------------------------------------------- */     printf(" Clang/LLVM");if(logged)fprintf(ficlog," Clang/LLVM");       /* Clang/LLVM. ---------------------------------------------- */
Line 10209  void syscompilerinfo(int logged) Line 11385  void syscompilerinfo(int logged)
 #endif  #endif
 #endif  #endif
   
    //   void main()     //   void main ()
    //   {     //   {
 #if defined(_MSC_VER)  #if defined(_MSC_VER)
    if (IsWow64()){     if (IsWow64()){
Line 10230  void syscompilerinfo(int logged) Line 11406  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  (period or 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 10239  int prevalence_limit(double *p, double * Line 11416  int prevalence_limit(double *p, double *
   strcpy(filerespl,"PL_");    strcpy(filerespl,"PL_");
   strcat(filerespl,fileresu);    strcat(filerespl,fileresu);
   if((ficrespl=fopen(filerespl,"w"))==NULL) {    if((ficrespl=fopen(filerespl,"w"))==NULL) {
     printf("Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1;      printf("Problem with forward period (stable) prevalence resultfile: %s\n", filerespl);return 1;
     fprintf(ficlog,"Problem with period (stable) prevalence resultfile: %s\n", filerespl);return 1;      fprintf(ficlog,"Problem with forward period (stable) prevalence resultfile: %s\n", filerespl);return 1;
   }    }
   printf("\nComputing period (stable) prevalence: result on file '%s' \n", filerespl);    printf("\nComputing forward period (stable) prevalence: result on file '%s' \n", filerespl);
   fprintf(ficlog,"\nComputing period (stable) prevalence: result on file '%s' \n", filerespl);    fprintf(ficlog,"\nComputing forward period (stable) prevalence: result on file '%s' \n", filerespl);
   pstamp(ficrespl);    pstamp(ficrespl);
   fprintf(ficrespl,"# Period (stable) prevalence. Precision given by ftolpl=%g \n", ftolpl);    fprintf(ficrespl,"# Forward period (stable) prevalence. Precision given by ftolpl=%g \n", ftolpl);
   fprintf(ficrespl,"#Age ");    fprintf(ficrespl,"#Age ");
   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,"\n");    fprintf(ficrespl,"\n");
Line 10269  int prevalence_limit(double *p, double * Line 11446  int prevalence_limit(double *p, double *
       //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<=cptcoveff ;j++) {/* all covariates */
         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)]);          fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[j]])]); /* Here problem for varying dummy*/
         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]])]);
           fprintf(ficlog," 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 */
         printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);          printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
Line 10295  int prevalence_limit(double *p, double * Line 11473  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(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");
Line 10305  int prevalence_limit(double *p, double * Line 11483  int prevalence_limit(double *p, double *
         prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k, nres);          prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k, nres);
         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]])]);
         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 10320  int prevalence_limit(double *p, double * Line 11498  int prevalence_limit(double *p, double *
 }  }
   
 int back_prevalence_limit(double *p, double **bprlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp, double dateprev1,double dateprev2, int firstpass, int lastpass, int mobilavproj){  int back_prevalence_limit(double *p, double **bprlim, double ageminpar, double agemaxpar, double ftolpl, int *ncvyearp, double dateprev1,double dateprev2, int firstpass, int lastpass, int mobilavproj){
         /*--------------- Back Prevalence limit  (period or stable prevalence) --------------*/          /*--------------- Back Prevalence limit  (backward stable prevalence) --------------*/
                   
         /* Computes the back prevalence limit  for any combination      of covariate values           /* Computes the back prevalence limit  for any combination      of covariate values 
    * at any age between ageminpar and agemaxpar     * at any age between ageminpar and agemaxpar
Line 10335  int back_prevalence_limit(double *p, dou Line 11513  int back_prevalence_limit(double *p, dou
   strcpy(fileresplb,"PLB_");    strcpy(fileresplb,"PLB_");
   strcat(fileresplb,fileresu);    strcat(fileresplb,fileresu);
   if((ficresplb=fopen(fileresplb,"w"))==NULL) {    if((ficresplb=fopen(fileresplb,"w"))==NULL) {
     printf("Problem with period (stable) back prevalence resultfile: %s\n", fileresplb);return 1;      printf("Problem with backward prevalence resultfile: %s\n", fileresplb);return 1;
     fprintf(ficlog,"Problem with period (stable) back prevalence resultfile: %s\n", fileresplb);return 1;      fprintf(ficlog,"Problem with backward prevalence resultfile: %s\n", fileresplb);return 1;
   }    }
   printf("Computing period (stable) back prevalence: result on file '%s' \n", fileresplb);    printf("Computing backward prevalence: result on file '%s' \n", fileresplb);
   fprintf(ficlog,"Computing period (stable) back prevalence: result on file '%s' \n", fileresplb);    fprintf(ficlog,"Computing backward prevalence: result on file '%s' \n", fileresplb);
   pstamp(ficresplb);    pstamp(ficresplb);
   fprintf(ficresplb,"# Period (stable) back prevalence. Precision given by ftolpl=%g \n", ftolpl);    fprintf(ficresplb,"# Backward prevalence. Precision given by ftolpl=%g \n", ftolpl);
   fprintf(ficresplb,"#Age ");    fprintf(ficresplb,"#Age ");
   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,"\n");    fprintf(ficresplb,"\n");
Line 10360  int back_prevalence_limit(double *p, dou Line 11538  int back_prevalence_limit(double *p, dou
     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)       if(i1 != 1 && TKresult[nres]!= k)
         continue;          continue;
       //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(ficresplb,"#******");        fprintf(ficresplb,"#******");
       printf("#******");        printf("#******");
       fprintf(ficlog,"#******");        fprintf(ficlog,"#******");
       for(j=1;j<=cptcoveff ;j++) {/* all covariates */        for(j=1;j<=cptcoveff ;j++) {/* all covariates */
         fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);          fprintf(ficresplb," 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]])]);
         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]])]);
       }        }
       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=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]);
         fprintf(ficresplb," V%d=%f ",Tvqresult[nres][j],Tqresult[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][j]);          fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]);
       }        }
       fprintf(ficresplb,"******\n");        fprintf(ficresplb,"******\n");
       printf("******\n");        printf("******\n");
Line 10386  int back_prevalence_limit(double *p, dou Line 11564  int back_prevalence_limit(double *p, dou
           
       fprintf(ficresplb,"#Age ");        fprintf(ficresplb,"#Age ");
       for(j=1;j<=cptcoveff;j++) {        for(j=1;j<=cptcoveff;j++) {
         fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);          fprintf(ficresplb,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[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 10410  int back_prevalence_limit(double *p, dou Line 11588  int back_prevalence_limit(double *p, dou
         }          }
         fprintf(ficresplb,"%.0f ",age );          fprintf(ficresplb,"%.0f ",age );
         for(j=1;j<=cptcoveff;j++)          for(j=1;j<=cptcoveff;j++)
           fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);            fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,TnsdVar[Tvaraff[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 10468  int hPijx(double *p, int bage, int fage) Line 11646  int hPijx(double *p, int bage, int fage)
         continue;          continue;
       fprintf(ficrespij,"\n#****** ");        fprintf(ficrespij,"\n#****** ");
       for(j=1;j<=cptcoveff;j++)         for(j=1;j<=cptcoveff;j++) 
         fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);          fprintf(ficrespij,"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 */
         printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);          printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
         fprintf(ficrespij," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);          fprintf(ficrespij," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
Line 10530  int hPijx(double *p, int bage, int fage) Line 11708  int hPijx(double *p, int bage, int fage)
   /*if (stepm<=24) stepsize=2;*/    /*if (stepm<=24) stepsize=2;*/
       
   /* agelim=AGESUP; */    /* agelim=AGESUP; */
   ageminl=30;    ageminl=AGEINF; /* was 30 */
   hstepm=stepsize*YEARM; /* Every year of age */    hstepm=stepsize*YEARM; /* Every year of age */
   hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */    hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */
       
Line 10547  int hPijx(double *p, int bage, int fage) Line 11725  int hPijx(double *p, int bage, int fage)
         continue;          continue;
       fprintf(ficrespijb,"\n#****** ");        fprintf(ficrespijb,"\n#****** ");
       for(j=1;j<=cptcoveff;j++)        for(j=1;j<=cptcoveff;j++)
         fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);          fprintf(ficrespijb,"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 */
         fprintf(ficrespijb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);          fprintf(ficrespijb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]);
       }        }
       fprintf(ficrespijb,"******\n");        fprintf(ficrespijb,"******\n");
       if(invalidvarcomb[k]){  /* Is it necessary here? */        if(invalidvarcomb[k]){  /* Is it necessary here? */
Line 10560  int hPijx(double *p, int bage, int fage) Line 11738  int hPijx(double *p, int bage, int fage)
       /* for (agedeb=fage; agedeb>=bage; agedeb--){ /\* If stepm=6 months *\/ */        /* 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) */        for (agedeb=bage; agedeb<=fage; agedeb++){ /* If stepm=6 months and estepm=24 (2 years) */
         /* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /\* Typically 20 years = 20*12/6=40 *\/ */          /* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /\* Typically 20 years = 20*12/6=40 *\/ */
         nhstepm=(int) rint((agedeb-ageminl)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */          nhstepm=(int) rint((agedeb-ageminl)*YEARM/stepm+0.1)-1; /* Typically 20 years = 20*12/6=40 or 55*12/24=27.5-1.1=>27 */
         nhstepm = nhstepm/hstepm; /* Typically 40/4=10, because estepm=24 stepm=6 => hstepm=24/6=4 */          nhstepm = nhstepm/hstepm; /* Typically 40/4=10, because estepm=24 stepm=6 => hstepm=24/6=4 or 28*/
                   
         /*        nhstepm=nhstepm*YEARM; aff par mois*/          /*        nhstepm=nhstepm*YEARM; aff par mois*/
                   
Line 10570  int hPijx(double *p, int bage, int fage) Line 11748  int hPijx(double *p, int bage, int fage)
   
         /* oldm=oldms;savm=savms; */          /* oldm=oldms;savm=savms; */
         /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);   */          /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);   */
         hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k, nres);          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); */          /* 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=");          fprintf(ficrespijb,"# Cov Agex agex-h hbijx with i,j=");
         for(i=1; i<=nlstate;i++)          for(i=1; i<=nlstate;i++)
Line 10583  int hPijx(double *p, int bage, int fage) Line 11761  int hPijx(double *p, int bage, int fage)
           /* fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); */            /* fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); */
           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," %.5f", p3mat[i][j][h]);                fprintf(ficrespijb," %.5f", p3mat[i][j][h]);/* Bug valgrind */
           fprintf(ficrespijb,"\n");            fprintf(ficrespijb,"\n");
         }          }
         free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);          free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
Line 10609  int main(int argc, char *argv[]) Line 11787  int main(int argc, char *argv[])
   double ssval;    double ssval;
 #endif  #endif
   int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav);    int movingaverage(double ***probs, double bage,double fage, double ***mobaverage, int mobilav);
   int i,j, k, n=MAXN,iter=0,m,size=100, cptcod;    int i,j, k, iter=0,m,size=100, cptcod; /* Suppressing because nobs */
     /* int i,j, k, n=MAXN,iter=0,m,size=100, cptcod; */
   int ncvyear=0; /* Number of years needed for the period prevalence to converge */    int ncvyear=0; /* Number of years needed for the period prevalence to converge */
   int jj, ll, li, lj, lk;    int jj, ll, li, lj, lk;
   int numlinepar=0; /* Current linenumber of parameter file */    int numlinepar=0; /* Current linenumber of parameter file */
Line 10635  int main(int argc, char *argv[]) Line 11814  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;    /* 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 10652  int main(int argc, char *argv[]) Line 11832  int main(int argc, char *argv[])
   
   int *tab;     int *tab; 
   int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */    int mobilavproj=0 , prevfcast=0 ; /* moving average of prev, If prevfcast=1 prevalence projection */
   int backcast=0;    /* double anprojd, mprojd, jprojd; /\* For eventual projections *\/ */
     /* double anprojf, mprojf, jprojf; */
     /* double jintmean,mintmean,aintmean;   */
     int prvforecast = 0; /* Might be 1 (date of beginning of projection is a choice or 2 is the dateintmean */
     int prvbackcast = 0; /* Might be 1 (date of beginning of projection is a choice or 2 is the dateintmean */
     double yrfproj= 10.0; /* Number of years of forward projections */
     double yrbproj= 10.0; /* Number of years of backward projections */
     int prevbcast=0; /* defined as global for mlikeli and mle, replacing backcast */
   int mobilav=0,popforecast=0;    int mobilav=0,popforecast=0;
   int hstepm=0, nhstepm=0;    int hstepm=0, nhstepm=0;
   int agemortsup;    int agemortsup;
Line 10664  int main(int argc, char *argv[]) Line 11851  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 10677  int main(int argc, char *argv[]) Line 11865  int main(int argc, char *argv[])
   double *epj, vepp;    double *epj, vepp;
   
   double dateprev1, dateprev2;    double dateprev1, dateprev2;
   double jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000, dateproj1=0, dateproj2=0;    double jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000, dateproj1=0, dateproj2=0, dateprojd=0, dateprojf=0;
   double jback1=1,mback1=1,anback1=2000,jback2=1,mback2=1,anback2=2000, dateback1=0, dateback2=0;    double jback1=1,mback1=1,anback1=2000,jback2=1,mback2=1,anback2=2000, dateback1=0, dateback2=0, datebackd=0, datebackf=0;
   
   
   double **ximort;    double **ximort;
   char *alph[]={"a","a","b","c","d","e"}, str[4]="1234";    char *alph[]={"a","a","b","c","d","e"}, str[4]="1234";
Line 10756  int main(int argc, char *argv[]) Line 11945  int main(int argc, char *argv[])
       if(pathr[0] == '\0') break; /* Dirty */        if(pathr[0] == '\0') break; /* Dirty */
     }      }
   }    }
     else if (argc<=2){
       strcpy(pathtot,argv[1]);
     }
   else{    else{
     strcpy(pathtot,argv[1]);      strcpy(pathtot,argv[1]);
       strcpy(z,argv[2]);
       printf("\nargv[2]=%s z=%c\n",argv[2],z[0]);
   }    }
   /*if(getcwd(pathcd, MAXLINE)!= NULL)printf ("Error pathcd\n");*/    /*if(getcwd(pathcd, MAXLINE)!= NULL)printf ("Error pathcd\n");*/
   /*cygwin_split_path(pathtot,path,optionfile);    /*cygwin_split_path(pathtot,path,optionfile);
Line 10835  int main(int argc, char *argv[]) Line 12029  int main(int argc, char *argv[])
     exit(70);       exit(70); 
   }    }
   
   
   
   strcpy(filereso,"o");    strcpy(filereso,"o");
   strcat(filereso,fileresu);    strcat(filereso,fileresu);
   if((ficparo=fopen(filereso,"w"))==NULL) { /* opened on subdirectory */    if((ficparo=fopen(filereso,"w"))==NULL) { /* opened on subdirectory */
Line 10870  int main(int argc, char *argv[]) Line 12062  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 10900  int main(int argc, char *argv[]) Line 12093  int main(int argc, char *argv[])
                         title, datafile, &lastobs, &firstpass,&lastpass)) !=EOF){                          title, datafile, &lastobs, &firstpass,&lastpass)) !=EOF){
     if (num_filled != 5) {      if (num_filled != 5) {
       printf("Should be 5 parameters\n");        printf("Should be 5 parameters\n");
         fprintf(ficlog,"Should be 5 parameters\n");
     }      }
     numlinepar++;      numlinepar++;
     printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", title, datafile, lastobs, firstpass,lastpass);      printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", title, datafile, lastobs, firstpass,lastpass);
       fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", title, datafile, lastobs, firstpass,lastpass);
       fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", title, datafile, lastobs, firstpass,lastpass);
       fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\n", title, datafile, lastobs, firstpass,lastpass);
   }    }
   /* Second parameter line */    /* Second parameter line */
   while(fgets(line, MAXLINE, ficpar)) {    while(fgets(line, MAXLINE, ficpar)) {
     /* If line starts with a # it is a comment */      /* while(fscanf(ficpar,"%[^\n]", line)) { */
       /* If line starts with a # it is a comment. Strangely fgets reads the EOL and fputs doesn't */
     if (line[0] == '#') {      if (line[0] == '#') {
       numlinepar++;        numlinepar++;
       fputs(line,stdout);        printf("%s",line);
       fputs(line,ficparo);        fprintf(ficres,"%s",line);
       fputs(line,ficres);        fprintf(ficparo,"%s",line);
       fputs(line,ficlog);        fprintf(ficlog,"%s",line);
       continue;        continue;
     }else      }else
       break;        break;
Line 10922  int main(int argc, char *argv[]) Line 12120  int main(int argc, char *argv[])
     if (num_filled != 11) {      if (num_filled != 11) {
       printf("Not 11 parameters, for example:ftol=1.e-8 stepm=12 ncovcol=2 nqv=1 ntv=2 nqtv=1  nlstate=2 ndeath=1 maxwav=3 mle=1 weight=1\n");        printf("Not 11 parameters, for example:ftol=1.e-8 stepm=12 ncovcol=2 nqv=1 ntv=2 nqtv=1  nlstate=2 ndeath=1 maxwav=3 mle=1 weight=1\n");
       printf("but line=%s\n",line);        printf("but line=%s\n",line);
         fprintf(ficlog,"Not 11 parameters, for example:ftol=1.e-8 stepm=12 ncovcol=2 nqv=1 ntv=2 nqtv=1  nlstate=2 ndeath=1 maxwav=3 mle=1 weight=1\n");
         fprintf(ficlog,"but line=%s\n",line);
       }
       if( lastpass > maxwav){
         printf("Error (lastpass = %d) > (maxwav = %d)\n",lastpass, maxwav);
         fprintf(ficlog,"Error (lastpass = %d) > (maxwav = %d)\n",lastpass, maxwav);
         fflush(ficlog);
         goto end;
     }      }
     printf("ftol=%e stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n",ftol, stepm, ncovcol, nqv, ntv, nqtv, nlstate, ndeath, maxwav, mle, weightopt);        printf("ftol=%e stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n",ftol, stepm, ncovcol, nqv, ntv, nqtv, nlstate, ndeath, maxwav, mle, weightopt);
       fprintf(ficparo,"ftol=%e stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n",ftol, stepm, ncovcol, nqv, ntv, nqtv, nlstate, ndeath, maxwav, mle, weightopt);
       fprintf(ficres,"ftol=%e stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n",ftol, stepm, ncovcol, nqv, ntv, nqtv, nlstate, ndeath, maxwav, 0, weightopt);
       fprintf(ficlog,"ftol=%e stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\n",ftol, stepm, ncovcol, nqv, ntv, nqtv, nlstate, ndeath, maxwav, mle, weightopt);
   }    }
   /* ftolpl=6*ftol*1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit *\/ */    /* ftolpl=6*ftol*1.e5; /\* 6.e-3 make convergences in less than 80 loops for the prevalence limit *\/ */
   /*ftolpl=6.e-4; *//* 6.e-3 make convergences in less than 80 loops for the prevalence limit */    /*ftolpl=6.e-4; *//* 6.e-3 make convergences in less than 80 loops for the prevalence limit */
Line 10932  int main(int argc, char *argv[]) Line 12141  int main(int argc, char *argv[])
     /* If line starts with a # it is a comment */      /* If line starts with a # it is a comment */
     if (line[0] == '#') {      if (line[0] == '#') {
       numlinepar++;        numlinepar++;
       fputs(line,stdout);        printf("%s",line);
       fputs(line,ficparo);        fprintf(ficres,"%s",line);
       fputs(line,ficres);        fprintf(ficparo,"%s",line);
       fputs(line,ficlog);        fprintf(ficlog,"%s",line);
       continue;        continue;
     }else      }else
       break;        break;
   }    }
   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 == 0){      if (num_filled != 1){
       printf("ERROR %d: Model should be at minimum 'model=1+age.' WITHOUT space:'%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.' WITHOUT space:'%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';  
       goto end;  
     } else if (num_filled != 1){  
       printf("ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line);  
       fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line);  
       model[0]='\0';        model[0]='\0';
       goto end;        goto end;
     }      }
Line 10961  int main(int argc, char *argv[]) Line 12165  int main(int argc, char *argv[])
     }      }
     /* printf(" model=1+age%s modeltemp= %s, model=%s\n",model, modeltemp, model);fflush(stdout); */      /* printf(" model=1+age%s modeltemp= %s, model=%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(ficres,"model=1+age+%s\n",model);fflush(stdout);
       fprintf(ficlog,"model=1+age+%s\n",model);fflush(stdout);
   }    }
   /* fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=1+age+%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model); */    /* fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d model=1+age+%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model); */
   /* numlinepar=numlinepar+3; /\* In general *\/ */    /* numlinepar=numlinepar+3; /\* In general *\/ */
   /* printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model); */    /* printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model); */
   fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol, nqv, ntv, nqtv, nlstate,ndeath,maxwav, mle, weightopt,model);    /* fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol, nqv, ntv, nqtv, nlstate,ndeath,maxwav, mle, weightopt,model); */
   fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol, nqv, ntv, nqtv, nlstate,ndeath,maxwav, mle, weightopt,model);    /* fprintf(ficlog,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol, nqv, ntv, nqtv, nlstate,ndeath,maxwav, mle, weightopt,model); */
   fflush(ficlog);    fflush(ficlog);
   /* if(model[0]=='#'|| model[0]== '\0'){ */    /* if(model[0]=='#'|| model[0]== '\0'){ */
   if(model[0]=='#'){    if(model[0]=='#'){
     printf("Error in 'model' line: model should start with 'model=1+age+' and end with '.' \n \      printf("Error in 'model' line: model should start with 'model=1+age+' and end without space \n \
  'model=1+age+.' or 'model=1+age+V1.' or 'model=1+age+age*age+V1+V1*age.' or \n \   'model=1+age+' or 'model=1+age+V1.' or 'model=1+age+age*age+V1+V1*age' or \n \
  'model=1+age+V1+V2.' or 'model=1+age+V1+V2+V1*V2.' etc. \n");          \   'model=1+age+V1+V2' or 'model=1+age+V1+V2+V1*V2' etc. \n");            \
     if(mle != -1){      if(mle != -1){
       printf("Fix the model line and run imach with mle=-1 to get a correct template of the parameter file.\n");        printf("Fix the model line and run imach with mle=-1 to get a correct template of the parameter vectors and subdiagonal covariance matrix.\n");
       exit(1);        exit(1);
     }      }
   }    }
Line 10994  int main(int argc, char *argv[]) Line 12201  int main(int argc, char *argv[])
   ungetc(c,ficpar);    ungetc(c,ficpar);
   
         
   covar=matrix(0,NCOVMAX,1,n);  /**< used in readdata */    covar=matrix(0,NCOVMAX,firstobs,lastobs);  /**< used in readdata */
   if(nqv>=1)coqvar=matrix(1,nqv,1,n);  /**< Fixed quantitative covariate */    if(nqv>=1)coqvar=matrix(1,nqv,firstobs,lastobs);  /**< Fixed quantitative covariate */
   if(nqtv>=1)cotqvar=ma3x(1,maxwav,1,nqtv,1,n);  /**< 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,1,n);  /**< 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)*/
   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+v2*v4+v5*age makes cptcovn = 5    /* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5
      v1+v2*age+v2*v3 makes cptcovn = 3       v1+v2*age+v2*v3 makes cptcovn = 3
Line 11060  int main(int argc, char *argv[]) Line 12267  int main(int argc, char *argv[])
       for(jj=1; jj <=nlstate+ndeath; jj++){        for(jj=1; jj <=nlstate+ndeath; jj++){
         if(jj==i) continue;          if(jj==i) continue;
         j++;          j++;
           while((c=getc(ficpar))=='#' && c!= EOF){
             ungetc(c,ficpar);
             fgets(line, MAXLINE, ficpar);
             numlinepar++;
             fputs(line,stdout);
             fputs(line,ficparo);
             fputs(line,ficlog);
           }
           ungetc(c,ficpar);
         fscanf(ficpar,"%1d%1d",&i1,&j1);          fscanf(ficpar,"%1d%1d",&i1,&j1);
         if ((i1 != i) || (j1 != jj)){          if ((i1 != i) || (j1 != jj)){
           printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \            printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \
Line 11200  Please run with mle=-1 to get a correct Line 12416  Please run with mle=-1 to get a correct
       
   /*  Main data    /*  Main data
    */     */
   n= lastobs;    nobs=lastobs-firstobs+1; /* was = lastobs;*/
   num=lvector(1,n);    /* num=lvector(1,n); */
   moisnais=vector(1,n);    /* moisnais=vector(1,n); */
   annais=vector(1,n);    /* annais=vector(1,n); */
   moisdc=vector(1,n);    /* moisdc=vector(1,n); */
   andc=vector(1,n);    /* andc=vector(1,n); */
   weight=vector(1,n);    /* weight=vector(1,n); */
   agedc=vector(1,n);    /* agedc=vector(1,n); */
   cod=ivector(1,n);    /* cod=ivector(1,n); */
   for(i=1;i<=n;i++){    /* for(i=1;i<=n;i++){ */
     num=lvector(firstobs,lastobs);
     moisnais=vector(firstobs,lastobs);
     annais=vector(firstobs,lastobs);
     moisdc=vector(firstobs,lastobs);
     andc=vector(firstobs,lastobs);
     weight=vector(firstobs,lastobs);
     agedc=vector(firstobs,lastobs);
     cod=ivector(firstobs,lastobs);
     for(i=firstobs;i<=lastobs;i++){
     num[i]=0;      num[i]=0;
     moisnais[i]=0;      moisnais[i]=0;
     annais[i]=0;      annais[i]=0;
Line 11219  Please run with mle=-1 to get a correct Line 12444  Please run with mle=-1 to get a correct
     cod[i]=0;      cod[i]=0;
     weight[i]=1.0; /* Equal weights, 1 by default */      weight[i]=1.0; /* Equal weights, 1 by default */
   }    }
   mint=matrix(1,maxwav,1,n);    mint=matrix(1,maxwav,firstobs,lastobs);
   anint=matrix(1,maxwav,1,n);    anint=matrix(1,maxwav,firstobs,lastobs);
   s=imatrix(1,maxwav+1,1,n); /* 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 11240  Please run with mle=-1 to get a correct Line 12466  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 11282  Please run with mle=-1 to get a correct Line 12510  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 V3*V2 (in V2+V1+V1*V4+age*V3+V3*V2), V3*V2 position is 2nd.                               * For V3*V2 (in V2+V1+V1*V4+age*V3+V3*V2), 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 + age*V4 + V3*age    Tage=ivector(1,NCOVMAX); /* Gives the covariate id of covariates associated with age: V2 + V1 + age*V4 + V3*age
                          4 covariates (3 plus signs)                           4 covariates (3 plus signs)
                          Tage[1=V3*age]= 4; Tage[2=age*V4] = 3                           Tage[1=V3*age]= 4; Tage[2=age*V4] = 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 11323  Please run with mle=-1 to get a correct Line 12554  Please run with mle=-1 to get a correct
   
   
   agegomp=(int)agemin;    agegomp=(int)agemin;
   free_vector(moisnais,1,n);    free_vector(moisnais,firstobs,lastobs);
   free_vector(annais,1,n);    free_vector(annais,firstobs,lastobs);
   /* free_matrix(mint,1,maxwav,1,n);    /* free_matrix(mint,1,maxwav,1,n);
      free_matrix(anint,1,maxwav,1,n);*/       free_matrix(anint,1,maxwav,1,n);*/
   /* free_vector(moisdc,1,n); */    /* free_vector(moisdc,1,n); */
Line 11350  Please run with mle=-1 to get a correct Line 12581  Please run with mle=-1 to get a correct
   concatwav(wav, dh, bh, mw, s, agedc, agev,  firstpass, lastpass, imx, nlstate, stepm);    concatwav(wav, dh, bh, mw, s, agedc, agev,  firstpass, lastpass, imx, nlstate, stepm);
   /* Concatenates waves */    /* Concatenates waves */
     
   free_vector(moisdc,1,n);    free_vector(moisdc,firstobs,lastobs);
   free_vector(andc,1,n);    free_vector(andc,firstobs,lastobs);
   
   /* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */    /* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */
   nbcode=imatrix(0,NCOVMAX,0,NCOVMAX);     nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); 
Line 11359  Please run with mle=-1 to get a correct Line 12590  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 age*age */    if (ncovmodel-nagesqr > 2 ){ /* That is if covariate other than cst, age and age*age */
     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);
Line 11389  Please run with mle=-1 to get a correct Line 12620  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 11498  Title=%s <br>Datafile=%s Firstpass=%d La Line 12729  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>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 11511  Title=%s <br>Datafile=%s Firstpass=%d La Line 12749  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 11533  Title=%s <br>Datafile=%s Firstpass=%d La Line 12771  Title=%s <br>Datafile=%s Firstpass=%d La
               firstpass, lastpass,  stepm,  weightopt, model);                firstpass, lastpass,  stepm,  weightopt, model);
   
   fprintf(fichtm,"\n");    fprintf(fichtm,"\n");
   fprintf(fichtm,"<h4>Parameter line 2</h4><ul><li>Tolerance for the convergence of the likelihood: ftol=%f \n<li>Interval for the elementary matrix (in month): stepm=%d",\    fprintf(fichtm,"<h4>Parameter line 2</h4><ul><li>Tolerance for the convergence of the likelihood: ftol=%g \n<li>Interval for the elementary matrix (in month): stepm=%d",\
           ftol, stepm);            ftol, stepm);
   fprintf(fichtm,"\n<li>Number of fixed dummy covariates: ncovcol=%d ", ncovcol);    fprintf(fichtm,"\n<li>Number of fixed dummy covariates: ncovcol=%d ", ncovcol);
   ncurrv=1;    ncurrv=1;
Line 11541  Title=%s <br>Datafile=%s Firstpass=%d La Line 12779  Title=%s <br>Datafile=%s Firstpass=%d La
   fprintf(fichtm,"\n<li> Number of fixed quantitative variables: nqv=%d ", nqv);     fprintf(fichtm,"\n<li> Number of fixed quantitative variables: nqv=%d ", nqv); 
   ncurrv=i;    ncurrv=i;
   for(i=ncurrv; i <=ncurrv-1+nqv; i++) fprintf(fichtm,"V%d ", i);    for(i=ncurrv; i <=ncurrv-1+nqv; i++) fprintf(fichtm,"V%d ", i);
   fprintf(fichtm,"\n<li> Number of time varying (wave varying) covariates: ntv=%d ", ntv);    fprintf(fichtm,"\n<li> Number of time varying (wave varying) dummy covariates: ntv=%d ", ntv);
   ncurrv=i;    ncurrv=i;
   for(i=ncurrv; i <=ncurrv-1+ntv; i++) fprintf(fichtm,"V%d ", i);    for(i=ncurrv; i <=ncurrv-1+ntv; i++) fprintf(fichtm,"V%d ", i);
   fprintf(fichtm,"\n<li>Number of quantitative time varying covariates: nqtv=%d ", nqtv);    fprintf(fichtm,"\n<li>Number of time varying  quantitative covariates: nqtv=%d ", nqtv);
   ncurrv=i;    ncurrv=i;
   for(i=ncurrv; i <=ncurrv-1+nqtv; i++) fprintf(fichtm,"V%d ", i);    for(i=ncurrv; i <=ncurrv-1+nqtv; i++) fprintf(fichtm,"V%d ", i);
   fprintf(fichtm,"\n<li>Weights column \n<br>Number of alive states: nlstate=%d <br>Number of death states (not really implemented): ndeath=%d \n<li>Number of waves: maxwav=%d \n<li>Parameter for maximization (1), using parameter values (0), for design of parameters and variance-covariance matrix: mle=%d \n<li>Does the weight column be taken into account (1), or not (0): weight=%d</ul>\n", \    fprintf(fichtm,"\n<li>Weights column \n<br>Number of alive states: nlstate=%d <br>Number of death states (not really implemented): ndeath=%d \n<li>Number of waves: maxwav=%d \n<li>Parameter for maximization (1), using parameter values (0), for design of parameters and variance-covariance matrix: mle=%d \n<li>Does the weight column be taken into account (1), or not (0): weight=%d</ul>\n", \
Line 11554  Title=%s <br>Datafile=%s Firstpass=%d La Line 12792  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 11576  Interval (in months) between two waves: Line 12814  Interval (in months) between two waves:
       for(j=1;j<=NDIM;j++)        for(j=1;j<=NDIM;j++)
         ximort[i][j]=0.;          ximort[i][j]=0.;
     /*     ximort=gsl_matrix_alloc(1,NDIM,1,NDIM); */      /*     ximort=gsl_matrix_alloc(1,NDIM,1,NDIM); */
     cens=ivector(1,n);      cens=ivector(firstobs,lastobs);
     ageexmed=vector(1,n);      ageexmed=vector(firstobs,lastobs);
     agecens=vector(1,n);      agecens=vector(firstobs,lastobs);
     dcwave=ivector(1,n);      dcwave=ivector(firstobs,lastobs);
                                   
     for (i=1; i<=imx; i++){      for (i=1; i<=imx; i++){
       dcwave[i]=-1;        dcwave[i]=-1;
Line 11613  Interval (in months) between two waves: Line 12851  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 11740  Interval (in months) between two waves: Line 12978  Interval (in months) between two waves:
       printf("%f [%f ; %f]\n",p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(matcov[i][i]));        printf("%f [%f ; %f]\n",p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(matcov[i][i]));
       fprintf(ficlog,"%f [%f ; %f]\n",p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(matcov[i][i]));        fprintf(ficlog,"%f [%f ; %f]\n",p[i],p[i]-2*sqrt(matcov[i][i]),p[i]+2*sqrt(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 11789  Please run with mle=-1 to get a correct Line 13027  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(cens,1,n);      free_ivector(dcwave,firstobs,lastobs);
     free_vector(agecens,1,n);      free_vector(agecens,firstobs,lastobs);
     free_ivector(dcwave,1,n);      free_vector(ageexmed,firstobs,lastobs);
       free_ivector(cens,firstobs,lastobs);
 #ifdef GSL  #ifdef GSL
 #endif  #endif
   } /* Endof if mle==-3 mortality only */    } /* Endof if mle==-3 mortality only */
Line 11824  Please run with mle=-1 to get a correct Line 13063  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");
           
     /*--------- results files --------------*/      /*--------- results files --------------*/
     fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nqv, ntv, nqtv, nlstate, ndeath, maxwav, weightopt,model);      /* fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nqv=%d ntv=%d nqtv=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=1+age+%s.\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nqv, ntv, nqtv, nlstate, ndeath, maxwav, weightopt,model); */
           
           
     fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");      fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");
     printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");      printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); /* Printing model equation */
     fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n");      fprintf(ficlog,"# Parameters nlstate*nlstate*ncov a12*1 + 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]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(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]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(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]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(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]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(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]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(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 11991  Please run with mle=-1 to get a correct Line 13313  Please run with mle=-1 to get a correct
         fputs(line,stdout);          fputs(line,stdout);
         fputs(line,ficparo);          fputs(line,ficparo);
         fputs(line,ficlog);          fputs(line,ficlog);
           fputs(line,ficres);
         continue;          continue;
       }else        }else
         break;          break;
Line 12036  Please run with mle=-1 to get a correct Line 13359  Please run with mle=-1 to get a correct
         fputs(line,stdout);          fputs(line,stdout);
         fputs(line,ficparo);          fputs(line,ficparo);
         fputs(line,ficlog);          fputs(line,ficlog);
           fputs(line,ficres);
         continue;          continue;
       }else        }else
         break;          break;
Line 12061  Please run with mle=-1 to get a correct Line 13385  Please run with mle=-1 to get a correct
         fputs(line,stdout);          fputs(line,stdout);
         fputs(line,ficparo);          fputs(line,ficparo);
         fputs(line,ficlog);          fputs(line,ficlog);
           fputs(line,ficres);
         continue;          continue;
       }else        }else
         break;          break;
Line 12083  Please run with mle=-1 to get a correct Line 13408  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++;
         fputs(line,stdout);          fputs(line,stdout);
         fputs(line,ficparo);          fputs(line,ficparo);
         fputs(line,ficlog);          fputs(line,ficlog);
           fputs(line,ficres);
         continue;          continue;
       }else if(sscanf(line,"prevforecast=%[^\n]\n",modeltemp))        }else if(sscanf(line,"prevforecast=%[^\n]\n",modeltemp))
         parameterline=11;          parameterline=11;
       else if(sscanf(line,"backcast=%[^\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){          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 != 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);
             printf("Error: Not 8 (data)parameters in line but %d, for example:prevforecast=1 starting-proj-date=1/1/1990 final-proj-date=1/1/2000 mobil_average=0\n, your line=%s . Probably you are running an older format.\n",num_filled,line);  
             fprintf(ficlog,"Error: Not 8 (data)parameters in line but %d, for example:prevforecast=1 starting-proj-date=1/1/1990 final-proj-date=1/1/2000 mov_average=0\n, your line=%s . Probably you are running an older format.\n",num_filled,line);  
             goto end;  
           }  
           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);  
           printf("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);            printf("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(ficlog,"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(ficlog,"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(ficres,"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(ficres,"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);
           /* day and month of proj2 are not used but only year anproj2.*/            /* day and month of proj2 are not used but only year anproj2.*/
           dateproj1=anproj1+(mproj1-1)/12.+(jproj1-1)/365.;            dateproj1=anproj1+(mproj1-1)/12.+(jproj1-1)/365.;
           dateproj2=anproj2+(mproj2-1)/12.+(jproj2-1)/365.;            dateproj2=anproj2+(mproj2-1)/12.+(jproj2-1)/365.;
             prvforecast = 1;
           } 
           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=%.2lf 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=%.2lf mobil_average=%d\n",prevfcast,yrfproj,mobilavproj);
             prvforecast = 2;
           }
           else {
             printf("Error: Not 8 (data)parameters in line but %d, for example:prevforecast=1 starting-proj-date=1/1/1990 final-proj-date=1/1/2000 mobil_average=0\nnor 3 (data)parameters, for example:prevforecast=1 yearsfproj=10 mobil_average=0. Your line=%s . You are running probably an older format.\n, ",num_filled,line);
             fprintf(ficlog,"Error: Not 8 (data)parameters in line but %d, for example:prevforecast=1 starting-proj-date=1/1/1990 final-proj-date=1/1/2000 mobil_average=0\nnor 3 (data)parameters, for example:prevforecast=1 yearproj=10 mobil_average=0. Your line=%s . You are running probably an older format.\n, ",num_filled,line);
             goto end;
         }          }
         break;          break;
       case 12:        case 12:
         /*fscanf(ficpar,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&backcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj);*/          if((num_filled=sscanf(line,"prevbackcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&prevbcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj)) !=EOF && (num_filled == 8)){
         if((num_filled=sscanf(line,"backcast=%d starting-back-date=%lf/%lf/%lf final-back-date=%lf/%lf/%lf mobil_average=%d\n",&backcast,&jback1,&mback1,&anback1,&jback2,&mback2,&anback2,&mobilavproj)) !=EOF){            fprintf(ficparo,"prevbackcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevbcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);
           if (num_filled != 8) {            printf("prevbackcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevbcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);
             printf("Error: Not 8 (data)parameters in line but %d, for example:backcast=1 starting-back-date=1/1/1990 final-back-date=1/1/1970 mobil_average=1\n, your line=%s . Probably you are running an older format.\n",num_filled,line);            fprintf(ficlog,"prevbackcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevbcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);
             fprintf(ficlog,"Error: Not 8 (data)parameters in line but %d, for example:backcast=1 starting-back-date=1/1/1990 final-back-date=1/1/1970 mobil_average=1\n, your line=%s . Probably you are running an older format.\n",num_filled,line);            fprintf(ficres,"prevbackcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevbcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);
             goto end;            /* day and month of back2 are not used but only year anback2.*/
           }  
           printf("backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);  
           fprintf(ficparo,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);  
           fprintf(ficlog,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);  
           fprintf(ficres,"backcast=%d starting-back-date=%.lf/%.lf/%.lf final-back-date=%.lf/%.lf/%.lf mobil_average=%d\n",backcast,jback1,mback1,anback1,jback2,mback2,anback2,mobilavproj);  
           /* day and month of proj2 are not used but only year anproj2.*/  
           dateback1=anback1+(mback1-1)/12.+(jback1-1)/365.;            dateback1=anback1+(mback1-1)/12.+(jback1-1)/365.;
           dateback2=anback2+(mback2-1)/12.+(jback2-1)/365.;            dateback2=anback2+(mback2-1)/12.+(jback2-1)/365.;
             prvbackcast = 1;
           } 
           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=%.2lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);
             fprintf(ficlog,"prevbackcast=%d yearsbproj=%.2lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);
             fprintf(ficres,"prevbackcast=%d yearsbproj=%.2lf mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);
             prvbackcast = 2;
           }
           else {
             printf("Error: Not 8 (data)parameters in line but %d, for example:prevbackcast=1 starting-back-date=1/1/1990 final-back-date=1/1/2000 mobil_average=0\nnor 3 (data)parameters, for example:prevbackcast=1 yearsbproj=10 mobil_average=0. Your line=%s . You are running probably an older format.\n, ",num_filled,line);
             fprintf(ficlog,"Error: Not 8 (data)parameters in line but %d, for example:prevbackcast=1 starting-back-date=1/1/1990 final-back-date=1/1/2000 mobil_average=0\nnor 3 (data)parameters, for example:prevbackcast=1 yearbproj=10 mobil_average=0. Your line=%s . You are running probably an older format.\n, ",num_filled,line);
             goto end;
         }          }
         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 12188  This is probably because your parameter Line 13545  This is probably because your parameter
 Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar);  Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar);
     }else{      }else{
       /* printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p, (int)anproj1-(int)agemin, (int)anback1-(int)agemax+1); */        /* printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p, (int)anproj1-(int)agemin, (int)anback1-(int)agemax+1); */
       printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,bage, fage, prevfcast, backcast, pathc,p, (int)anproj1-bage, (int)anback1-fage);        /* It seems that anprojd which is computed from the mean year at interview which is known yet because of freqsummary */
         /* date2dmy(dateintmean,&jintmean,&mintmean,&aintmean); */ /* Done in freqsummary */
         if(prvforecast==1){
           dateprojd=(jproj1+12*mproj1+365*anproj1)/365;
           jprojd=jproj1;
           mprojd=mproj1;
           anprojd=anproj1;
           dateprojf=(jproj2+12*mproj2+365*anproj2)/365;
           jprojf=jproj2;
           mprojf=mproj2;
           anprojf=anproj2;
         } else if(prvforecast == 2){
           dateprojd=dateintmean;
           date2dmy(dateprojd,&jprojd, &mprojd, &anprojd);
           dateprojf=dateintmean+yrfproj;
           date2dmy(dateprojf,&jprojf, &mprojf, &anprojf);
         }
         if(prvbackcast==1){
           datebackd=(jback1+12*mback1+365*anback1)/365;
           jbackd=jback1;
           mbackd=mback1;
           anbackd=anback1;
           datebackf=(jback2+12*mback2+365*anback2)/365;
           jbackf=jback2;
           mbackf=mback2;
           anbackf=anback2;
         } else if(prvbackcast == 2){
           datebackd=dateintmean;
           date2dmy(datebackd,&jbackd, &mbackd, &anbackd);
           datebackf=dateintmean-yrbproj;
           date2dmy(datebackf,&jbackf, &mbackf, &anbackf);
         }
         
         printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,bage, fage, prevfcast, prevbcast, pathc,p, (int)anprojd-bage, (int)anbackd-fage);
     }      }
     printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \      printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \
                  model,imx,jmin,jmax,jmean,rfileres,popforecast,mobilav,prevfcast,mobilavproj,backcast, estepm, \                   model,imx,jmin,jmax,jmean,rfileres,popforecast,mobilav,prevfcast,mobilavproj,prevbcast, estepm, \
                  jprev1,mprev1,anprev1,dateprev1, dateproj1, dateback1,jprev2,mprev2,anprev2,dateprev2,dateproj2, dateback2);                   jprev1,mprev1,anprev1,dateprev1, dateprojd, datebackd,jprev2,mprev2,anprev2,dateprev2,dateprojf, datebackf);
                                   
     /*------------ free_vector  -------------*/      /*------------ free_vector  -------------*/
     /*  chdir(path); */      /*  chdir(path); */
Line 12201  Please run with mle=-1 to get a correct Line 13591  Please run with mle=-1 to get a correct
     /* free_imatrix(dh,1,lastpass-firstpass+2,1,imx); */      /* free_imatrix(dh,1,lastpass-firstpass+2,1,imx); */
     /* free_imatrix(bh,1,lastpass-firstpass+2,1,imx); */      /* free_imatrix(bh,1,lastpass-firstpass+2,1,imx); */
     /* free_imatrix(mw,1,lastpass-firstpass+2,1,imx);    */      /* free_imatrix(mw,1,lastpass-firstpass+2,1,imx);    */
     free_lvector(num,1,n);      free_lvector(num,firstobs,lastobs);
     free_vector(agedc,1,n);      free_vector(agedc,firstobs,lastobs);
     /*free_matrix(covar,0,NCOVMAX,1,n);*/      /*free_matrix(covar,0,NCOVMAX,1,n);*/
     /*free_matrix(covar,1,NCOVMAX,1,n);*/      /*free_matrix(covar,1,NCOVMAX,1,n);*/
     fclose(ficparo);      fclose(ficparo);
Line 12215  Please run with mle=-1 to get a correct Line 13605  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 12265  Please run with mle=-1 to get a correct Line 13658  Please run with mle=-1 to get a correct
     }/* end if moving average */      }/* end if moving average */
           
     /*---------- Forecasting ------------------*/      /*---------- Forecasting ------------------*/
     if(prevfcast==1){      if(prevfcast==1){ 
       /*    if(stepm ==1){*/        /*   /\*    if(stepm ==1){*\/ */
       prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, mobaverage, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);        /*   /\*  anproj1, mproj1, jproj1 either read explicitly or yrfproj *\/ */
         /*This done previously after freqsummary.*/
         /*   dateprojd=(jproj1+12*mproj1+365*anproj1)/365; */
         /*   dateprojf=(jproj2+12*mproj2+365*anproj2)/365; */
         
         /* } else if (prvforecast==2){ */
         /*   /\*    if(stepm ==1){*\/ */
         /*   /\*  anproj1, mproj1, jproj1 either read explicitly or yrfproj *\/ */
         /* } */
         /*prevforecast(fileresu, dateintmean, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, mobaverage, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);*/
         prevforecast(fileresu,dateintmean, dateprojd, dateprojf, agemin, agemax, dateprev1, dateprev2, mobilavproj, mobaverage, bage, fage, firstpass, lastpass, p, cptcoveff);
     }      }
   
     /* Backcasting */      /* Prevbcasting */
     if(backcast==1){      if(prevbcast==1){
       ddnewms=matrix(1,nlstate+ndeath,1,nlstate+ndeath);                ddnewms=matrix(1,nlstate+ndeath,1,nlstate+ndeath);        
       ddoldms=matrix(1,nlstate+ndeath,1,nlstate+ndeath);                ddoldms=matrix(1,nlstate+ndeath,1,nlstate+ndeath);        
       ddsavms=matrix(1,nlstate+ndeath,1,nlstate+ndeath);        ddsavms=matrix(1,nlstate+ndeath,1,nlstate+ndeath);
Line 12286  Please run with mle=-1 to get a correct Line 13689  Please run with mle=-1 to get a correct
       hBijx(p, bage, fage, mobaverage);        hBijx(p, bage, fage, mobaverage);
       fclose(ficrespijb);        fclose(ficrespijb);
   
       prevbackforecast(fileresu, mobaverage, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2,        /* /\* prevbackforecast(fileresu, mobaverage, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2, *\/ */
                        mobilavproj, bage, fage, firstpass, lastpass, anback2, p, cptcoveff);        /* /\*                   mobilavproj, bage, fage, firstpass, lastpass, anback2, p, cptcoveff); *\/ */
         /* prevbackforecast(fileresu, mobaverage, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2, */
         /*                       mobilavproj, bage, fage, firstpass, lastpass, anback2, p, cptcoveff); */
         prevbackforecast(fileresu, mobaverage, dateintmean, dateprojd, dateprojf, agemin, agemax, dateprev1, dateprev2,
                          mobilavproj, bage, fage, firstpass, lastpass, p, cptcoveff);
   
         
       varbprlim(fileresu, nresult, mobaverage, mobilavproj, bage, fage, bprlim, &ncvyear, ftolpl, p, matcov, delti, stepm, cptcoveff);        varbprlim(fileresu, nresult, mobaverage, mobilavproj, bage, fage, bprlim, &ncvyear, ftolpl, p, matcov, delti, stepm, cptcoveff);
   
               
Line 12295  Please run with mle=-1 to get a correct Line 13704  Please run with mle=-1 to get a correct
       free_matrix(ddnewms, 1, nlstate+ndeath, 1, nlstate+ndeath);        free_matrix(ddnewms, 1, nlstate+ndeath, 1, nlstate+ndeath);
       free_matrix(ddsavms, 1, nlstate+ndeath, 1, nlstate+ndeath);        free_matrix(ddsavms, 1, nlstate+ndeath, 1, nlstate+ndeath);
       free_matrix(ddoldms, 1, nlstate+ndeath, 1, nlstate+ndeath);        free_matrix(ddoldms, 1, nlstate+ndeath, 1, nlstate+ndeath);
     }    /* end  Backcasting */      }    /* end  Prevbcasting */
     
     
     /* ------ Other prevalence ratios------------ */      /* ------ Other prevalence ratios------------ */
Line 12329  Please run with mle=-1 to get a correct Line 13738  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=%f ",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=%f ",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 12390  Please run with mle=-1 to get a correct Line 13800  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+V4*V3+V5*age
         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=%d ",Tvresult[nres][j],Tresult[nres][j]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline  */
             fprintf(ficlog,"V%d=%d ",Tvresult[nres][j],Tresult[nres][j]); /* Output of each value for the combination TKresult[nres], ordere by the covariate values in the resultline  */
             fprintf(ficrest,"V%d=%d ",Tvresult[nres][j],Tresult[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=%f ",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");
Line 12414  Please run with mle=-1 to get a correct Line 13871  Please run with mle=-1 to get a correct
       fprintf(ficresstdeij,"\n#****** ");        fprintf(ficresstdeij,"\n#****** ");
       fprintf(ficrescveij,"\n#****** ");        fprintf(ficrescveij,"\n#****** ");
       for(j=1;j<=cptcoveff;j++) {        for(j=1;j<=cptcoveff;j++) {
         fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][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=%f ",Tvar[TvarsQind[j]],Tqresult[nres][resultmodel[nres][TvarsQind[j]]]);
           fprintf(ficrescveij," V%d=%f ",Tvar[TvarsQind[j]],Tqresult[nres][resultmodel[nres][TvarsQind[j]]]);
       }         } 
       fprintf(ficresstdeij,"******\n");        fprintf(ficresstdeij,"******\n");
       fprintf(ficrescveij,"******\n");        fprintf(ficrescveij,"******\n");
Line 12427  Please run with mle=-1 to get a correct Line 13885  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=%f ",Tvqresult[nres][j],Tqresult[nres][resultmodel[nres][j]]); /* Solved */
       }         } 
       fprintf(ficresvij,"******\n");        fprintf(ficresvij,"******\n");
               
Line 12459  Please run with mle=-1 to get a correct Line 13919  Please run with mle=-1 to get a correct
         if(vpopbased==1)          if(vpopbased==1)
           fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);            fprintf(ficrest,"the age specific prevalence observed (cross-sectionally) in the population i.e cross-sectionally\n in each health state (popbased=1) (mobilav=%d)\n",mobilav);
         else          else
           fprintf(ficrest,"the age specific period (stable) prevalences in each health state \n");            fprintf(ficrest,"the age specific 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"); */
         printf("Computing age specific period (stable) prevalences in each health state \n");          printf("Computing age specific forward period (stable) prevalences in each health state \n");
         fprintf(ficlog,"Computing age specific period (stable) prevalences in each health state \n");          fprintf(ficlog,"Computing age specific forward period (stable) prevalences in each health state \n");
         for(age=bage; age <=fage ;age++){          for(age=bage; age <=fage ;age++){
           prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, &ncvyear, k, nres); /*ZZ Is it the correct prevalim */            prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, &ncvyear, k, nres); /*ZZ Is it the correct prevalim */
           if (vpopbased==1) {            if (vpopbased==1) {
Line 12507  Please run with mle=-1 to get a correct Line 13967  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 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,1,n);      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+1,1,n);      free_imatrix(s,1,maxwav+1,firstobs,lastobs);
     free_matrix(anint,1,maxwav,1,n);       free_matrix(anint,1,maxwav,firstobs,lastobs); 
     free_matrix(mint,1,maxwav,1,n);      free_matrix(mint,1,maxwav,firstobs,lastobs);
     free_ivector(cod,1,n);      free_ivector(cod,firstobs,lastobs);
     free_ivector(tab,1,NCOVMAX);      free_ivector(tab,1,NCOVMAX);
     fclose(ficresstdeij);      fclose(ficresstdeij);
     fclose(ficrescveij);      fclose(ficrescveij);
Line 12541  Please run with mle=-1 to get a correct Line 14002  Please run with mle=-1 to get a correct
   free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);    free_matrix(oldms, 1,nlstate+ndeath,1,nlstate+ndeath);
   free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);    free_matrix(newms, 1,nlstate+ndeath,1,nlstate+ndeath);
   free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);    free_matrix(savms, 1,nlstate+ndeath,1,nlstate+ndeath);
   if(ntv+nqtv>=1)free_ma3x(cotvar,1,maxwav,1,ntv+nqtv,1,n);    if(ntv+nqtv>=1)free_ma3x(cotvar,1,maxwav,1,ntv+nqtv,firstobs,lastobs);
   if(nqtv>=1)free_ma3x(cotqvar,1,maxwav,1,nqtv,1,n);    if(nqtv>=1)free_ma3x(cotqvar,1,maxwav,1,nqtv,firstobs,lastobs);
   if(nqv>=1)free_matrix(coqvar,1,nqv,1,n);    if(nqv>=1)free_matrix(coqvar,1,nqv,firstobs,lastobs);
   free_matrix(covar,0,NCOVMAX,1,n);    free_matrix(covar,0,NCOVMAX,firstobs,lastobs);
   free_matrix(matcov,1,npar,1,npar);    free_matrix(matcov,1,npar,1,npar);
   free_matrix(hess,1,npar,1,npar);    free_matrix(hess,1,npar,1,npar);
   /*free_vector(delti,1,npar);*/    /*free_vector(delti,1,npar);*/
Line 12564  Please run with mle=-1 to get a correct Line 14025  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 12589  Please run with mle=-1 to get a correct Line 14051  Please run with mle=-1 to get a correct
   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);
Line 12627  Please run with mle=-1 to get a correct Line 14091  Please run with mle=-1 to get a correct
   fclose(ficlog);    fclose(ficlog);
   /*------ End -----------*/    /*------ End -----------*/
       
   
   /* Executes gnuplot */
       
   printf("Before Current directory %s!\n",pathcd);    printf("Before Current directory %s!\n",pathcd);
 #ifdef WIN32  #ifdef WIN32
Line 12662  Please run with mle=-1 to get a correct Line 14128  Please run with mle=-1 to get a correct
       
   sprintf(plotcmd,"%s %s",pplotcmd, optionfilegnuplot);    sprintf(plotcmd,"%s %s",pplotcmd, optionfilegnuplot);
   printf("Starting graphs with: '%s'\n",plotcmd);fflush(stdout);    printf("Starting graphs with: '%s'\n",plotcmd);fflush(stdout);
     strcpy(pplotcmd,plotcmd);
       
   if((outcmd=system(plotcmd)) != 0){    if((outcmd=system(plotcmd)) != 0){
     printf("gnuplot command might not be in your path: '%s', err=%d\n", plotcmd, outcmd);      printf("Error in gnuplot, command might not be in your path: '%s', err=%d\n", plotcmd, outcmd);
     printf("\n Trying if gnuplot resides on the same directory that IMaCh\n");      printf("\n Trying if gnuplot resides on the same directory that IMaCh\n");
     sprintf(plotcmd,"%sgnuplot %s", pathimach, optionfilegnuplot);      sprintf(plotcmd,"%sgnuplot %s", pathimach, optionfilegnuplot);
     if((outcmd=system(plotcmd)) != 0)      if((outcmd=system(plotcmd)) != 0){
       printf("\n Still a problem with gnuplot command %s, err=%d\n", plotcmd, outcmd);        printf("\n Still a problem with gnuplot command %s, err=%d\n", plotcmd, outcmd);
         strcpy(plotcmd,pplotcmd);
       }
   }    }
   printf(" Successful, please wait...");    printf(" Successful, please wait...");
   while (z[0] != 'q') {    while (z[0] != 'q') {
Line 12695  end: Line 14164  end:
     printf("\nType  q for exiting: "); fflush(stdout);      printf("\nType  q for exiting: "); fflush(stdout);
     scanf("%s",z);      scanf("%s",z);
   }    }
     printf("End\n");
     exit(0);
 }  }

Removed from v.1.278  
changed lines
  Added in v.1.335


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