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Diff for /imach/src/imach.c between versions 1.233 and 1.303

-version 1.233, 2016/08/23 07:40:50
+version 1.303, 2021/02/11 19:50:15
  Line 1
  /* $Id$
    $State$
    $Log$
+   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
+   Summary: Bug for mobil_average=0 and prevforecast fixed(?)
+   Revision 1.277  2017/07/17 08:53:49  brouard
+   Summary: BOM files can be read now
+   Revision 1.276  2017/06/30 15:48:31  brouard
+   Summary: Graphs improvements
+   Revision 1.275  2017/06/30 13:39:33  brouard
+   Summary: Saito's color
+   Revision 1.274  2017/06/29 09:47:08  brouard
+   Summary: Version 0.99r14
+   Revision 1.273  2017/06/27 11:06:02  brouard
+   Summary: More documentation on projections
+   Revision 1.272  2017/06/27 10:22:40  brouard
+   Summary: Color of backprojection changed from 6 to 5(yellow)
+   Revision 1.271  2017/06/27 10:17:50  brouard
+   Summary: Some bug with rint
+   Revision 1.270  2017/05/24 05:45:29  brouard
+   *** empty log message ***
+   Revision 1.269  2017/05/23 08:39:25  brouard
+   Summary: Code into subroutine, cleanings
+   Revision 1.268  2017/05/18 20:09:32  brouard
+   Summary: backprojection and confidence intervals of backprevalence
+   Revision 1.267  2017/05/13 10:25:05  brouard
+   Summary: temporary save for backprojection
+   Revision 1.266  2017/05/13 07:26:12  brouard
+   Summary: Version 0.99r13 (improvements and bugs fixed)
+   Revision 1.265  2017/04/26 16:22:11  brouard
+   Summary: imach 0.99r13 Some bugs fixed
+   Revision 1.264  2017/04/26 06:01:29  brouard
+   Summary: Labels in graphs
+   Revision 1.263  2017/04/24 15:23:15  brouard
+   Summary: to save
+   Revision 1.262  2017/04/18 16:48:12  brouard
+   *** empty log message ***
+   Revision 1.261  2017/04/05 10:14:09  brouard
+   Summary: Bug in E_ as well as in T_ fixed nres-1 vs k1-1
+   Revision 1.260  2017/04/04 17:46:59  brouard
+   Summary: Gnuplot indexations fixed (humm)
+   Revision 1.259  2017/04/04 13:01:16  brouard
+   Summary: Some errors to warnings only if date of death is unknown but status is death we could set to pi3
+   Revision 1.258  2017/04/03 10:17:47  brouard
+   Summary: Version 0.99r12
+   Some cleanings, conformed with updated documentation.
+   Revision 1.257  2017/03/29 16:53:30  brouard
+   Summary: Temp
+   Revision 1.256  2017/03/27 05:50:23  brouard
+   Summary: Temporary
+   Revision 1.255  2017/03/08 16:02:28  brouard
+   Summary: IMaCh version 0.99r10 bugs in gnuplot fixed
+   Revision 1.254  2017/03/08 07:13:00  brouard
+   Summary: Fixing data parameter line
+   Revision 1.253  2016/12/15 11:59:41  brouard
+   Summary: 0.99 in progress
+   Revision 1.252  2016/09/15 21:15:37  brouard
+   *** empty log message ***
+   Revision 1.251  2016/09/15 15:01:13  brouard
+   Summary: not working
+   Revision 1.250  2016/09/08 16:07:27  brouard
+   Summary: continue
+   Revision 1.249  2016/09/07 17:14:18  brouard
+   Summary: Starting values from frequencies
+   Revision 1.248  2016/09/07 14:10:18  brouard
+   *** empty log message ***
+   Revision 1.247  2016/09/02 11:11:21  brouard
+   *** empty log message ***
+   Revision 1.246  2016/09/02 08:49:22  brouard
+   *** empty log message ***
+   Revision 1.245  2016/09/02 07:25:01  brouard
+   *** empty log message ***
+   Revision 1.244  2016/09/02 07:17:34  brouard
+   *** empty log message ***
+   Revision 1.243  2016/09/02 06:45:35  brouard
+   *** empty log message ***
+   Revision 1.242  2016/08/30 15:01:20  brouard
+   Summary: Fixing a lots
+   Revision 1.241  2016/08/29 17:17:25  brouard
+   Summary: gnuplot problem in Back projection to fix
+   Revision 1.240  2016/08/29 07:53:18  brouard
+   Summary: Better
+   Revision 1.239  2016/08/26 15:51:03  brouard
+   Summary: Improvement in Powell output in order to copy and paste
+   Author:
+   Revision 1.238  2016/08/26 14:23:35  brouard
+   Summary: Starting tests of 0.99
+   Revision 1.237  2016/08/26 09:20:19  brouard
+   Summary: to valgrind
+   Revision 1.236  2016/08/25 10:50:18  brouard
+   *** empty log message ***
+   Revision 1.235  2016/08/25 06:59:23  brouard
+   *** empty log message ***
+   Revision 1.234  2016/08/23 16:51:20  brouard
+   *** empty log message ***
    Revision 1.233  2016/08/23 07:40:50  brouard
    Summary: not working
- Line 72
+ Line 302
    Author: Nicolas Brouard
    Revision 1.210  2015/11/18 17:41:20  brouard
-   Summary: Start working on projected prevalences
+   Summary: Start working on projected prevalences  Revision 1.209  2015/11/17 22:12:03  brouard
-   Revision 1.209  2015/11/17 22:12:03  brouard
    Summary: Adding ftolpl parameter
    Author: N Brouard
- Line 717  Back prevalence and projections:
+ Line 945  Back prevalence and projections:
     p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
                          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, nres);
       Computes the transition matrix starting at age 'age' over
       'nhstepm*hstepm*stepm' months (i.e. until
       age (in years)  age+nhstepm*hstepm*stepm/12) by multiplying
- Line 862  typedef struct {
+ Line 1090  typedef struct {
  /* #include <libintl.h> */
  /* #define _(String) gettext (String) */
- #define MAXLINE 1024 /* Was 256. Overflow with 312 with 2 states and 4 covariates. Should be ok */
+ #define MAXLINE 2048 /* Was 256 and 1024. Overflow with 312 with 2 states and 4 covariates. Should be ok */
  #define GNUPLOTPROGRAM "gnuplot"
  /*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/
- Line 877  typedef struct {
+ Line 1105  typedef struct {
  #define NINTERVMAX 8
  #define NLSTATEMAX 8 /**< Maximum number of live 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 20  /**< Maximum number of covariates, including generated covariates V1*V2 */
  #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) >> (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 AGESUP 130 */
- #define AGESUP 150
+ /* #define AGESUP 150 */
+ #define AGESUP 200
+ #define AGEINF 0
  #define AGEMARGE 25 /* Marge for agemin and agemax for(iage=agemin-AGEMARGE; iage <= agemax+3+AGEMARGE; iage++) */
  #define AGEBASE 40
  #define AGEOVERFLOW 1.e20
- Line 903  typedef struct {
+ Line 1133  typedef struct {
  /* $State$ */
  #include "version.h"
  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[]="May 2019,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2020";
  char fullversion[]="$Revision$ $Date$";
  char strstart[80];
  char optionfilext[10], optionfilefiname[FILENAMELENGTH];
- Line 920  int cptcoveff=0; /* Total number of cova
+ Line 1150  int cptcoveff=0; /* Total number of cova
  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 ncova=0; /* Total number of effective (wave and stepm) varying with age covariates (dummy of quantitative) in the model */
+ int nsd=0; /**< Total number of single dummy variables (output) */
+ int nsq=0; /**< Total number of single quantitative variables (output) */
  int ncoveff=0; /* Total number of effective fixed dummy covariates in the model */
  int nqfveff=0; /**< nqfveff Number of Quantitative Fixed Variables Effective */
  int ntveff=0; /**< ntveff number of effective time varying variables */
  int nqtveff=0; /**< ntqveff number of effective time varying quantitative variables */
  int cptcov=0; /* Working variable */
+ int nobs=10;  /* Number of observations in the data lastobs-firstobs */
  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 ndeath=1; /* Number of dead states */
  int ncovmodel=0, ncovcol=0;     /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */
- Line 975  FILE *ficrescveij;
+ Line 1207  FILE *ficrescveij;
  char filerescve[FILENAMELENGTH];
  FILE  *ficresvij;
  char fileresv[FILENAMELENGTH];
- FILE  *ficresvpl;
- char fileresvpl[FILENAMELENGTH];
  char title[MAXLINE];
+ char model[MAXLINE]; /**< The model line */
  char optionfile[FILENAMELENGTH], datafile[FILENAMELENGTH],  filerespl[FILENAMELENGTH],  fileresplb[FILENAMELENGTH];
  char plotcmd[FILENAMELENGTH], pplotcmd[FILENAMELENGTH];
  char tmpout[FILENAMELENGTH],  tmpout2[FILENAMELENGTH];
- Line 1015  double dval;
+ Line 1247  double dval;
  #define FTOL 1.0e-10
  #define NRANSI
  #define ITMAX 200
+ #define ITPOWMAX 20 /* This is now multiplied by the number of parameters */
  #define TOL 2.0e-4
- Line 1065  double **pmmij, ***probs; /* Global poin
+ Line 1298  double **pmmij, ***probs; /* Global poin
  double ***mobaverage, ***mobaverages; /* New global variable */
  double *ageexmed,*agecens;
  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;
  int **s; /* Status */
  double *agedc;
  double  **covar; /**< covar[j,i], value of jth covariate for individual i,
                    * covar=matrix(0,NCOVMAX,1,n);
                    * cov[Tage[kk]+2]=covar[Tvar[Tage[kk]]][i]*age; */
- double **coqvar; /* Fixed quantitative covariate iqv */
+ double **coqvar; /* Fixed quantitative covariate nqv */
- double ***cotvar; /* Time varying covariate itv */
+ double ***cotvar; /* Time varying covariate ntv */
  double ***cotqvar; /* Time varying quantitative covariate itqv */
  double  idx;
  int **nbcode, *Tvar; /**< model=V2 => Tvar[1]= 2 */
+ /*           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 */
+ /* Tndvar[k]    1   2   3               4          5 */
+ /*TDvar         4   3   6               7          1 */ /* For outputs only; combination of dummies fixed or varying */
+ /* Tns[k]    1  2   2              4               5 */ /* Number of single cova */
+ /* TvarsD[k]    1   2                              3 */ /* Number of single dummy cova */
+ /* TvarsDind    2   3                              9 */ /* position K of single dummy cova */
+ /* TvarsQ[k] 1                     2                 */ /* Number of single quantitative cova */
+ /* TvarsQind 1                     6                 */ /* position K of single quantitative cova */
+ /* Tprod[i]=k           4               7            */
+ /* Tage[i]=k                  5               8      */
+ /* */
+ /* Type                    */
+ /* V         1  2  3  4  5 */
+ /*           F  F  V  V  V */
+ /*           D  Q  D  D  Q */
+ /*                         */
+ int *TvarsD;
+ int *TvarsDind;
+ int *TvarsQ;
+ int *TvarsQind;
+ #define MAXRESULTLINES 10
+ int nresult=0;
+ int parameterline=0; /* # of the parameter (type) line */
+ int TKresult[MAXRESULTLINES];
+ int Tresult[MAXRESULTLINES][NCOVMAX];/* For dummy variable , value (output) */
+ int Tinvresult[MAXRESULTLINES][NCOVMAX];/* For dummy variable , value (output) */
+ int Tvresult[MAXRESULTLINES][NCOVMAX]; /* For dummy variable , variable # (output) */
+ double Tqresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , value (output) */
+ double Tqinvresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , value (output) */
+ int Tvqresult[MAXRESULTLINES][NCOVMAX]; /* For quantitative variable , variable # (output) */
+ /* 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 *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 *TvarV; /**< TvarV[1]=Tvar[1]=5, TvarV[2]=Tvar[2]=4  in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
- Line 1097  double *Tvalsel; /**< Selected modality
+ Line 1370  double *Tvalsel; /**< Selected modality
  int *Typevar; /**< 0 for simple covariate (dummy, quantitative, fixed or varying), 1 for age product, 2 for  product */
  int *Fixed; /** Fixed[k] 0=fixed, 1 varying, 2 fixed with age product, 3 varying with age product */
  int *Dummy; /** Dummy[k] 0=dummy (0 1), 1 quantitative (single or product without age), 2 dummy with age product, 3 quant with age product */
+ int *DummyV; /** Dummy[v] 0=dummy (0 1), 1 quantitative */
+ int *FixedV; /** FixedV[v] 0 fixed, 1 varying */
  int *Tage;
  int anyvaryingduminmodel=0; /**< Any varying dummy in Model=1 yes, 0 no, to avoid a loop on waves in freq */
  int *Tmodelind; /** Tmodelind[Tvaraff[3]]=9 for V1 position,Tvaraff[1]@9={4, 3, 1, 0, 0, 0, 0, 0, 0}, model=V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1*/
- Line 1106  int *Ndum; /** Freq of modality (tricode
+ Line 1381  int *Ndum; /** Freq of modality (tricode
  /* int **codtab;*/ /**< codtab=imatrix(1,100,1,10); */
  int **Tvard;
  int *Tprod;/**< Gives the k position of the k1 product */
+ /* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3  */
  int *Tposprod; /**< Gives the k1 product from the k position */
- /* Tprod[k1=1]=3(=V1*V4) for V2+V1+V1*V4+age*V3
+    /* if  V2+V1+V1*V4+age*V3+V3*V2   TProd[k1=2]=5 (V3*V2) */
-    if  V2+V1+V1*V4+age*V3+V3*V2   TProd[k1=2]=5 (V3*V2)
+    /* Tposprod[k]=k1 , Tposprod[3]=1, Tposprod[5(V3*V2)]=2 (2nd product without age) */
-    Tposprod[k]=k1 , Tposprod[3]=1, Tposprod[5]=2
- */
  int cptcovprod, *Tvaraff, *invalidvarcomb;
  double *lsurv, *lpop, *tpop;
- Line 1336  int nbocc(char *s, char occ)
+ Line 1610  int nbocc(char *s, char occ)
    i=0;
    lg=strlen(s);
    for(i=0; i<= lg; i++) {
-   if  (s[i] == occ ) j++;
+     if  (s[i] == occ ) j++;
    }
    return j;
  }
- Line 2009  void powell(double p[], double **xi, int
+ Line 2283  void powell(double p[], double **xi, int
   void linmin(double p[], double xi[], int n, double *fret,
                double (*func)(double []));
  #else
   void linmin(double p[], double xi[], int n, double *fret,
-                                                  double (*func)(double []),int *flat);
+              double (*func)(double []),int *flat);
  #endif
-   int i,ibig,j;
+  int i,ibig,j,jk,k;
    double del,t,*pt,*ptt,*xit;
    double directest;
    double fp,fptt;
- Line 2044  void powell(double p[], double **xi, int
+ Line 2318  void powell(double p[], double **xi, int
      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(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tm_sec-start_time.tm_sec); */
      for (i=1;i<=n;i++) {
-       printf(" %d %.12f",i, p[i]);
-       fprintf(ficlog," %d %.12lf",i, p[i]);
        fprintf(ficrespow," %.12lf", p[i]);
      }
+     fprintf(ficrespow,"\n");fflush(ficrespow);
+     printf("\n#model=  1      +     age ");
+     fprintf(ficlog,"\n#model=  1      +     age ");
+     if(nagesqr==1){
+         printf("  + age*age  ");
+         fprintf(ficlog,"  + age*age  ");
+     }
+     for(j=1;j <=ncovmodel-2;j++){
+       if(Typevar[j]==0) {
+         printf("  +      V%d  ",Tvar[j]);
+         fprintf(ficlog,"  +      V%d  ",Tvar[j]);
+       }else if(Typevar[j]==1) {
+         printf("  +    V%d*age ",Tvar[j]);
+         fprintf(ficlog,"  +    V%d*age ",Tvar[j]);
+       }else if(Typevar[j]==2) {
+         printf("  +    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]);
+       }
+     }
      printf("\n");
+ /*     printf("12   47.0114589    0.0154322   33.2424412    0.3279905    2.3731903  */
+ /* 13  -21.5392400    0.1118147    1.2680506    1.2973408   -1.0663662  */
      fprintf(ficlog,"\n");
-     fprintf(ficrespow,"\n");fflush(ficrespow);
+     for(i=1,jk=1; i <=nlstate; i++){
-     if(*iter <=3){
+       for(k=1; k <=(nlstate+ndeath); k++){
+         if (k != i) {
+           printf("%d%d ",i,k);
+           fprintf(ficlog,"%d%d ",i,k);
+           for(j=1; j <=ncovmodel; j++){
+             printf("%12.7f ",p[jk]);
+             fprintf(ficlog,"%12.7f ",p[jk]);
+             jk++;
+           }
+           printf("\n");
+           fprintf(ficlog,"\n");
+         }
+       }
+     }
+     if(*iter <=3 && *iter >1){
        tml = *localtime(&rcurr_time);
        strcpy(strcurr,asctime(&tml));
        rforecast_time=rcurr_time;
        itmp = strlen(strcurr);
        if(strcurr[itmp-1]=='\n')  /* Windows outputs with a new line */
-                                 strcurr[itmp-1]='\0';
+         strcurr[itmp-1]='\0';
        printf("\nConsidering the time needed for the last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time);
        fprintf(ficlog,"\nConsidering the time needed for this last iteration #%d: %ld seconds,\n",*iter,rcurr_time-rlast_time);
        for(niterf=10;niterf<=30;niterf+=10){
-                                 rforecast_time=rcurr_time+(niterf-*iter)*(rcurr_time-rlast_time);
+         rforecast_time=rcurr_time+(niterf-*iter)*(rcurr_time-rlast_time);
-                                 forecast_time = *localtime(&rforecast_time);
+         forecast_time = *localtime(&rforecast_time);
-                                 strcpy(strfor,asctime(&forecast_time));
+         strcpy(strfor,asctime(&forecast_time));
-                                 itmp = strlen(strfor);
+         itmp = strlen(strfor);
-                                 if(strfor[itmp-1]=='\n')
+         if(strfor[itmp-1]=='\n')
-                                         strfor[itmp-1]='\0';
+           strfor[itmp-1]='\0';
-                                 printf("   - if your program needs %d iterations to converge, convergence will be \n   reached in %s i.e.\n   on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr);
+         printf("   - if your program needs %d iterations to converge, convergence will be \n   reached in %s i.e.\n   on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr);
-                                 fprintf(ficlog,"   - if your program needs %d iterations to converge, convergence will be \n   reached in %s i.e.\n   on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr);
+         fprintf(ficlog,"   - if your program needs %d iterations to converge, convergence will be \n   reached in %s i.e.\n   on %s (current time is %s);\n",niterf, asc_diff_time(rforecast_time-rcurr_time,tmpout),strfor,strcurr);
        }
      }
      for (i=1;i<=n;i++) { /* For each direction i */
- Line 2115  void powell(double p[], double **xi, int
+ Line 2422  void powell(double p[], double **xi, int
      /* 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) */
        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? */
        /* We could compare with a chi^2. chisquare(0.95,ddl=1)=3.84 */
        /* By adding age*age in a model, the new -2LL should be lower and the difference follows a */
        /* a chisquare statistics with 1 degree. To be significant at the 95% level, it should have */
- Line 2168  void powell(double p[], double **xi, int
+ Line 2476  void powell(double p[], double **xi, int
        free_vector(pt,1,n);
        return;
      } /* enough precision */
-     if (*iter == ITMAX) nrerror("powell exceeding maximum iterations.");
+     if (*iter == ITMAX*n) nrerror("powell exceeding maximum iterations.");
      for (j=1;j<=n;j++) { /* Computes the extrapolated point P_0 + 2 (P_n-P_0) */
        ptt[j]=2.0*p[j]-pt[j];
        xit[j]=p[j]-pt[j];
- Line 2227  void powell(double p[], double **xi, int
+ Line 2535  void powell(double p[], double **xi, int
        if (directest < 0.0) { /* Then we use it for new direction */
  #endif
  #ifdef DEBUGLINMIN
-                                 printf("Before linmin in direction P%d-P0\n",n);
+         printf("Before linmin in direction P%d-P0\n",n);
-                                 for (j=1;j<=n;j++) {
+         for (j=1;j<=n;j++) {
-                                         printf(" Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
+           printf(" Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
-                                         fprintf(ficlog," Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
+           fprintf(ficlog," Before xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
-                                         if(j % ncovmodel == 0){
+           if(j % ncovmodel == 0){
-                                                 printf("\n");
+             printf("\n");
-                                                 fprintf(ficlog,"\n");
+             fprintf(ficlog,"\n");
-                                         }
+           }
-                                 }
+         }
  #endif
  #ifdef LINMINORIGINAL
-                                 linmin(p,xit,n,fret,func); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/
+         linmin(p,xit,n,fret,func); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/
  #else
-                                 linmin(p,xit,n,fret,func,&flat); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/
+         linmin(p,xit,n,fret,func,&flat); /* computes minimum on the extrapolated direction: changes p and rescales xit.*/
-                                 flatdir[i]=flat; /* Function is vanishing in that direction i */
+         flatdir[i]=flat; /* Function is vanishing in that direction i */
  #endif
  #ifdef DEBUGLINMIN
-                                 for (j=1;j<=n;j++) {
+         for (j=1;j<=n;j++) {
-                                         printf("After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
+           printf("After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
-                                         fprintf(ficlog,"After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
+           fprintf(ficlog,"After xit[%d]= %12.7f p[%d]= %12.7f",j,xit[j],j,p[j]);
-                                         if(j % ncovmodel == 0){
+           if(j % ncovmodel == 0){
-                                                 printf("\n");
+             printf("\n");
-                                                 fprintf(ficlog,"\n");
+             fprintf(ficlog,"\n");
-                                         }
+           }
-                                 }
+         }
  #endif
-                                 for (j=1;j<=n;j++) {
+         for (j=1;j<=n;j++) {
-                                         xi[j][ibig]=xi[j][n]; /* Replace direction with biggest decrease by last direction n */
+           xi[j][ibig]=xi[j][n]; /* Replace direction with biggest decrease by last direction n */
-                                         xi[j][n]=xit[j];      /* and this nth direction by the by the average p_0 p_n */
+           xi[j][n]=xit[j];      /* and this nth direction by the by the average p_0 p_n */
-                                 }
+         }
  #ifdef LINMINORIGINAL
  #else
-                                 for (j=1, flatd=0;j<=n;j++) {
+         for (j=1, flatd=0;j<=n;j++) {
-                                         if(flatdir[j]>0)
+           if(flatdir[j]>0)
-                                                 flatd++;
+             flatd++;
-                                 }
+         }
-                                 if(flatd >0){
+         if(flatd >0){
-                                         printf("%d flat directions\n",flatd);
+           printf("%d flat directions: ",flatd);
-                                         fprintf(ficlog,"%d flat directions\n",flatd);
+           fprintf(ficlog,"%d flat directions :",flatd);
-                                         for (j=1;j<=n;j++) {
+           for (j=1;j<=n;j++) {
-                                                 if(flatdir[j]>0){
+             if(flatdir[j]>0){
-                                                         printf("%d ",j);
+               printf("%d ",j);
-                                                         fprintf(ficlog,"%d ",j);
+               fprintf(ficlog,"%d ",j);
-                                                 }
+             }
-                                         }
+           }
-                                         printf("\n");
+           printf("\n");
-                                         fprintf(ficlog,"\n");
+           fprintf(ficlog,"\n");
-                                 }
+         }
  #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);
-                                 fprintf(ficlog,"Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig);
+         fprintf(ficlog,"Gaining to use new average direction of P0 P%d instead of biggest increase direction %d :\n",n,ibig);
  #ifdef DEBUG
-                                 printf("Direction changed  last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
+         printf("Direction changed  last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
-                                 fprintf(ficlog,"Direction changed  last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
+         fprintf(ficlog,"Direction changed  last moved %d in place of ibig=%d, new last is the average:\n",n,ibig);
-                                 for(j=1;j<=n;j++){
+         for(j=1;j<=n;j++){
-                                         printf(" %lf",xit[j]);
+           printf(" %lf",xit[j]);
-                                         fprintf(ficlog," %lf",xit[j]);
+           fprintf(ficlog," %lf",xit[j]);
-                                 }
+         }
-                                 printf("\n");
+         printf("\n");
-                                 fprintf(ficlog,"\n");
+         fprintf(ficlog,"\n");
  #endif
        } /* end of t or directest negative */
  #ifdef POWELLNOF3INFF1TEST
  #else
-     } /* end if (fptt < fp)  */
+       } /* end if (fptt < fp)  */
  #endif
  #ifdef NODIRECTIONCHANGEDUNTILNITER  /* No change in drections until some iterations are done */
-                 } /*NODIRECTIONCHANGEDUNTILNITER  No change in drections until some iterations are done */
+     } /*NODIRECTIONCHANGEDUNTILNITER  No change in drections until some iterations are done */
  #else
  #endif
-   } /* loop iteration */
+                 } /* loop iteration */
  }
  /**** Prevalence limit (stable or period prevalence)  ****************/
- double **prevalim(double **prlim, int nlstate, double x[], double age, double **oldm, double **savm, double ftolpl, int *ncvyear, int ij)
+   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 ij by left multiplying the unit
+     /**< Computes the prevalence limit in each live state at age x and for covariate combination ij
-      matrix by transitions matrix until convergence is reached with precision ftolpl */
+      *   (and selected quantitative values in nres)
-   /* Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1  = Wx-n Px-n ... Px-2 Px-1 I */
+      *  by left multiplying the unit
-   /* Wx is row vector: population in state 1, population in state 2, population dead */
+      *  matrix by transitions matrix until convergence is reached with precision ftolpl
-   /* or prevalence in state 1, prevalence in state 2, 0 */
+      * Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1  = Wx-n Px-n ... Px-2 Px-1 I
-   /* newm is the matrix after multiplications, its rows are identical at a factor */
+      * Wx is row vector: population in state 1, population in state 2, population dead
-   /* Initial matrix pimij */
+      * or prevalence in state 1, prevalence in state 2, 0
+      * newm is the matrix after multiplications, its rows are identical at a factor.
+      * Inputs are the parameter, age, a tolerance for the prevalence limit ftolpl.
+      * Output is prlim.
+      * Initial matrix pimij
+      */
    /* {0.85204250825084937, 0.13044499163996345, 0.017512500109187184, */
    /* 0.090851990222114765, 0.88271245433047185, 0.026435555447413338, */
    /*  0,                   0                  , 1} */
- Line 2325  double **prevalim(double **prlim, int nl
+ Line 2638  double **prevalim(double **prlim, int nl
    /* {0.51571254859325999, 0.4842874514067399, */
    /*  0.51326036147820708, 0.48673963852179264} */
    /* If we start from prlim again, prlim tends to a constant matrix */
    int i, ii,j,k;
    double *min, *max, *meandiff, maxmax,sumnew=0.;
    /* double **matprod2(); */ /* test */
- Line 2333  double **prevalim(double **prlim, int nl
+ Line 2646  double **prevalim(double **prlim, int nl
    double **newm;
    double agefin, delaymax=200. ; /* 100 Max number of years to converge */
    int ncvloop=0;
+   int first=0;
    min=vector(1,nlstate);
    max=vector(1,nlstate);
- Line 2355  double **prevalim(double **prlim, int nl
+ Line 2669  double **prevalim(double **prlim, int nl
      cov[2]=agefin;
      if(nagesqr==1)
        cov[3]= agefin*agefin;;
-     for (k=1; k<=cptcovn;k++) {
+     for (k=1; k<=nsd;k++) { /* For single dummy covariates only */
-       /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */
+                         /* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */
-                         /* Here comes the value of the covariate 'ij' */
+       cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)];
-       cov[2+nagesqr+k]=nbcode[Tvar[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)); */
-       /* 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 */
-     /*wrong? for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */
+                         /* Here comes the value of quantitative after renumbering k with single quantitative covariates */
-     /* for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]*cov[2]; */
+       cov[2+nagesqr+TvarsQind[k]]=Tqresult[nres][k];
-     for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,k)]*cov[2];
+       /* 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<=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])]; */
+     for (k=1; k<=cptcovage;k++){  /* For product with age */
-       cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,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("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{
+         if(Dummy[Tvard[k][2]==0]){
+           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]];
+         }
+       }
+     }
      /*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 \n",ij, cov[3]);*/
- Line 2408  double **prevalim(double **prlim, int nl
+ Line 2743  double **prevalim(double **prlim, int nl
        free_vector(meandiff,1,nlstate);
        return prlim;
      }
-   } /* age loop */
+   } /* agefin loop */
      /* 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);
    /* 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(max,1,nlstate);
- Line 2425  Earliest age to start was %d-%d=%d, ncvl
+ Line 2764  Earliest age to start was %d-%d=%d, ncvl
   /* double **bprevalim(double **bprlim, double ***prevacurrent, int nlstate, double x[], double age, double ageminpar, double agemaxpar, double **oldm, double **savm, double **dnewm, double **doldm, double **dsavm, double ftolpl, int *ncvyear, int ij) */
   /* double **bprevalim(double **bprlim, double ***prevacurrent, int nlstate, double x[], double age, double **oldm, double **savm, double **dnewm, double **doldm, double **dsavm, double ftolpl, int *ncvyear, int ij) */
-  double **bprevalim(double **bprlim, double ***prevacurrent, int nlstate, double x[], double age, double ftolpl, int *ncvyear, int ij)
+   double **bprevalim(double **bprlim, double ***prevacurrent, int nlstate, double x[], double age, double ftolpl, int *ncvyear, int ij, int nres)
  {
-   /* Computes the prevalence limit in each live state at age x and covariate ij by left multiplying the unit
+   /* Computes the prevalence limit in each live state at age x and for covariate combination ij (<=2**cptcoveff) by left multiplying the unit
       matrix by transitions matrix until convergence is reached with precision ftolpl */
    /* Wx= Wx-1 Px-1= Wx-2 Px-2 Px-1  = Wx-n Px-n ... Px-2 Px-1 I */
    /* Wx is row vector: population in state 1, population in state 2, population dead */
- Line 2448  Earliest age to start was %d-%d=%d, ncvl
+ Line 2787  Earliest age to start was %d-%d=%d, ncvl
    /* If we start from prlim again, prlim tends to a constant matrix */
    int i, ii,j,k;
+   int first=0;
    double *min, *max, *meandiff, maxmax,sumnew=0.;
    /* double **matprod2(); */ /* test */
    double **out, cov[NCOVMAX+1], **bmij();
- Line 2462  Earliest age to start was %d-%d=%d, ncvl
+ Line 2802  Earliest age to start was %d-%d=%d, ncvl
    max=vector(1,nlstate);
    meandiff=vector(1,nlstate);
-         dnewm=ddnewms; doldm=ddoldms; dsavm=ddsavms;
+   dnewm=ddnewms; doldm=ddoldms; dsavm=ddsavms;
-         oldm=oldms; savm=savms;
+   oldm=oldms; savm=savms;
-         /* Starting with matrix unity */
+   /* Starting with matrix unity */
-         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);
      }
- Line 2476  Earliest age to start was %d-%d=%d, ncvl
+ Line 2816  Earliest age to start was %d-%d=%d, ncvl
    /* Even if hstepm = 1, at least one multiplication by the unit matrix */
    /* Start at agefin= age, computes the matrix of passage and loops decreasing agefin until convergence is reached */
    /* for(agefin=age+stepm/YEARM; agefin<=age+delaymax; agefin=agefin+stepm/YEARM){ /\* 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++;
      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 */
- Line 2484  Earliest age to start was %d-%d=%d, ncvl
+ Line 2825  Earliest age to start was %d-%d=%d, ncvl
      cov[2]=agefin;
      if(nagesqr==1)
        cov[3]= agefin*agefin;;
-     for (k=1; k<=cptcovn;k++) {
+     for (k=1; k<=nsd;k++) { /* For single dummy covariates only */
-       /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */
+                         /* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */
-       cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)];
+       cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[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])]); */
+       /* 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)); */
      }
-     /*wrong? 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+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]*cov[2]; */
+     /*   /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; *\/ */
-     for (k=1; k<=cptcovage;k++) cov[2+nagesqr+Tage[k]]=nbcode[Tvar[k]][codtabm(ij,k)]*cov[2];
+     /*   cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */
-     for (k=1; k<=cptcovprod;k++) /* Useless */
+     /*   /\* 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])]); *\/ */
-       /* 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<=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{
+         if(Dummy[Tvard[k][2]==0]){
+           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]];
+         }
+       }
+     }
      /*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]);*/
- Line 2509  Earliest age to start was %d-%d=%d, ncvl
+ Line 2882  Earliest age to start was %d-%d=%d, ncvl
      /* out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, ageminpar, agemaxpar, dnewm, doldm, dsavm,ij)); /\* Bug Valgrind *\/ */
      /* out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij)); /\* Bug Valgrind *\/ */
      out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent,ij)); /* Bug Valgrind */
+     /* if((int)age == 86 || (int)age == 87){ */
+     /*   printf(" Backward prevalim age=%d agefin=%d \n", (int) age, (int) agefin); */
+     /*   for(i=1; i<=nlstate+ndeath; i++) { */
+     /*  printf("%d newm= ",i); */
+     /*  for(j=1;j<=nlstate+ndeath;j++) { */
+     /*    printf("%f ",newm[i][j]); */
+     /*  } */
+     /*  printf("oldm * "); */
+     /*  for(j=1;j<=nlstate+ndeath;j++) { */
+     /*    printf("%f ",oldm[i][j]); */
+     /*  } */
+     /*  printf(" bmmij "); */
+     /*  for(j=1;j<=nlstate+ndeath;j++) { */
+     /*    printf("%f ",pmmij[i][j]); */
+     /*  } */
+     /*  printf("\n"); */
+     /*   } */
+     /* } */
      savm=oldm;
      oldm=newm;
      for(j=1; j<=nlstate; j++){
        max[j]=0.;
        min[j]=1.;
      }
      for(j=1; j<=nlstate; j++){
        for(i=1;i<=nlstate;i++){
-                                 /* bprlim[i][j]= newm[i][j]/(1-sumnew); */
+         /* bprlim[i][j]= newm[i][j]/(1-sumnew); */
-                                 bprlim[i][j]= newm[i][j];
+         bprlim[i][j]= newm[i][j];
-                                 max[i]=FMAX(max[i],bprlim[i][j]); /* Max in line */
+         max[i]=FMAX(max[i],bprlim[i][j]); /* Max in line */
-                                 min[i]=FMIN(min[i],bprlim[i][j]);
+         min[i]=FMIN(min[i],bprlim[i][j]);
        }
      }
- Line 2529  Earliest age to start was %d-%d=%d, ncvl
+ Line 2921  Earliest age to start was %d-%d=%d, ncvl
        meandiff[i]=(max[i]-min[i])/(max[i]+min[i])*2.; /* mean difference for each column */
        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); */
-     } /* j loop */
+     } /* i loop */
      *ncvyear= -( (int)age- (int)agefin);
-     /* printf("Back maxmax=%lf ncvloop=%d, age=%d, agefin=%d ncvyear=%d \n", maxmax, ncvloop, (int)age, (int)agefin, *ncvyear);*/
+     /* printf("Back maxmax=%lf ncvloop=%d, age=%d, agefin=%d ncvyear=%d \n", maxmax, ncvloop, (int)age, (int)agefin, *ncvyear); */
      if(maxmax < ftolpl){
        /* printf("OK Back maxmax=%lf ncvloop=%d, age=%d, agefin=%d ncvyear=%d \n", maxmax, ncvloop, (int)age, (int)agefin, *ncvyear); */
        free_vector(min,1,nlstate);
- Line 2539  Earliest age to start was %d-%d=%d, ncvl
+ Line 2931  Earliest age to start was %d-%d=%d, ncvl
        free_vector(meandiff,1,nlstate);
        return bprlim;
      }
-   } /* age loop */
+   } /* agefin loop */
      /* After some age loop it doesn't converge */
-   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'. \n\
+   if(!first){
+     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\
+ 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);
+   }
+   fprintf(ficlog,"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'. \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);
    /* 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);
- Line 2556  Oldest age to start was %d-%d=%d, ncvloo
+ Line 2953  Oldest age to start was %d-%d=%d, ncvloo
  double **pmij(double **ps, double *cov, int ncovmodel, double *x, int nlstate )
  {
    /* According to parameters values stored in x and the covariate's values stored in cov,
-      computes the probability to be observed in state j being in state i by appying the
+      computes the probability to be observed in state j (after stepm years) being in state i by appying the
       model to the ncovmodel covariates (including constant and age).
       lnpijopii=ln(pij/pii)= aij+bij*age+cij*v1+dij*v2+... = sum_nc=1^ncovmodel xij(nc)*cov[nc]
       and, according on how parameters are entered, the position of the coefficient xij(nc) of the
- Line 2565  double **pmij(double **ps, double *cov,
+ Line 2962  double **pmij(double **ps, double *cov,
       j>=i nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel
       Computes ln(pij/pii) (lnpijopii), deduces pij/pii by exponentiation,
       sums on j different of i to get 1-pii/pii, deduces pii, and then all pij.
-      Outputs ps[i][j] the probability to be observed in j being in j according to
+      Outputs ps[i][j] or probability to be observed in j being in i according to
       the values of the covariates cov[nc] and corresponding parameter values x[nc+shiftij]
+      Sum on j ps[i][j] should equal to 1.
    */
    double s1, lnpijopii;
    /*double t34;*/
- Line 2618  double **pmij(double **ps, double *cov,
+ Line 3016  double **pmij(double **ps, double *cov,
        ps[ii][ii]=1;
      }
    }
    /* for(ii=1; ii<= nlstate+ndeath; ii++){ */
    /*   for(jj=1; jj<= nlstate+ndeath; jj++){ */
    /*    printf(" pmij  ps[%d][%d]=%lf ",ii,jj,ps[ii][jj]); */
- Line 2630  double **pmij(double **ps, double *cov,
+ Line 3028  double **pmij(double **ps, double *cov,
    /*
      for(i=1; i<= npar; i++) printf("%f ",x[i]);
                  goto end;*/
-   return ps;
+   return ps; /* Pointer is unchanged since its call */
  }
  /*************** backward transition probabilities ***************/
- Line 2639  double **pmij(double **ps, double *cov,
+ Line 3037  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, int ij )
  {
-   /* Computes the backward probability at age agefin and covariate ij
+   /* Computes the backward probability at age agefin, cov[2], and covariate combination 'ij'. In fact cov is already filled and x too.
-    * 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;
    double **out, **pmij();
    double sumnew=0.;
    double agefin;
+   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 **bbmij;
- Line 2656  double **pmij(double **ps, double *cov,
+ Line 3054  double **pmij(double **ps, double *cov,
    dsavm=ddsavms;
    agefin=cov[2];
+   /* 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
-      the observed prevalence (with this covariate ij) */
+      the observed prevalence (with this covariate ij) at beginning of transition */
-   dsavm=pmij(pmmij,cov,ncovmodel,x,nlstate);
+   /* dsavm=pmij(pmmij,cov,ncovmodel,x,nlstate); */
-   /* We do have the matrix Px in savm  and we need pij */
+   /* P_x */
+   pmmij=pmij(pmmij,cov,ncovmodel,x,nlstate); /*This is forward probability from agefin to agefin + stepm */
+   /* outputs pmmij which is a stochastic matrix in row */
+   /* Diag(w_x) */
+   /* Rescaling the cross-sectional prevalence: Problem with prevacurrent which can be zero */
+   sumnew=0.;
+   /*for (ii=1;ii<=nlstate+ndeath;ii++){*/
+   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]); */
+     sumnew+=prevacurrent[(int)agefin][ii][ij];
+   }
+   if(sumnew >0.01){  /* At least some value in the prevalence */
+     for (ii=1;ii<=nlstate+ndeath;ii++){
+       for (j=1;j<=nlstate+ndeath;j++)
+         doldm[ii][j]=(ii==j ? prevacurrent[(int)agefin][ii][ij]/sumnew : 0.0);
+     }
+   }else{
+     for (ii=1;ii<=nlstate+ndeath;ii++){
+       for (j=1;j<=nlstate+ndeath;j++)
+       doldm[ii][j]=(ii==j ? 1./nlstate : 0.0);
+     }
+     /* if(sumnew <0.9){ */
+     /*   printf("Problem internal bmij B: sum on i wi <0.9: j=%d, sum_i wi=%lf,agefin=%d\n",j,sumnew, (int)agefin); */
+     /* } */
+   }
+   k3=0.0;  /* We put the last diagonal to 0 */
+   for (ii=nlstate+1;ii<=nlstate+ndeath;ii++){
+       doldm[ii][ii]= k3;
+   }
+   /* End doldm, At the end doldm is diag[(w_i)] */
+   /* 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); /* was a Bug Valgrind */
+   /* 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.. */
    for (j=1;j<=nlstate+ndeath;j++){
-     sumnew=0.; /* w1 p11 + w2 p21 only on live states */
+     sumnew=0.;
      for (ii=1;ii<=nlstate;ii++){
-       sumnew+=dsavm[ii][j]*prevacurrent[(int)agefin][ii][ij];
+       /* sumnew+=dsavm[ii][j]*prevacurrent[(int)agefin][ii][ij]; */
+       sumnew+=pmmij[ii][j]*doldm[ii][ii]; /* Yes prevalence at beginning of transition */
      } /* sumnew is (N11+N21)/N..= N.1/N.. = sum on i of w_i pij */
      for (ii=1;ii<=nlstate+ndeath;ii++){
-       if(sumnew >= 1.e-10){
          /* if(agefin >= agemaxpar && agefin <= agemaxpar+stepm/YEARM){ */
-         /*      doldm[ii][j]=(ii==j ? 1./sumnew : 0.0); */
+         /*      dsavm[ii][j]=(ii==j ? 1./sumnew : 0.0); */
          /* }else if(agefin >= agemaxpar+stepm/YEARM){ */
-         /*      doldm[ii][j]=(ii==j ? 1./sumnew : 0.0); */
+         /*      dsavm[ii][j]=(ii==j ? 1./sumnew : 0.0); */
          /* }else */
-         doldm[ii][j]=(ii==j ? 1./sumnew : 0.0);
+       dsavm[ii][j]=(ii==j ? 1./sumnew : 0.0);
-       }else{
-         printf("ii=%d, i=%d, doldm=%lf dsavm=%lf, probs=%lf, sumnew=%lf,agefin=%d\n",ii,j,doldm[ii][j],dsavm[ii][j],prevacurrent[(int)agefin][ii][ij],sumnew, (int)agefin);
-       }
      } /*End ii */
-   } /* End j, At the end doldm is diag[1/(w_1p1i+w_2 p2i)] */
+   } /* 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 */
-   /* left Product of this diag matrix by dsavm=Px (newm=dsavm*doldm) */
-   bbmij=matprod2(dnewm, dsavm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, doldm); /* Bug Valgrind */
+   ps=matprod2(ps, dnewm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, dsavm); /* was a Bug Valgrind */
-   /* dsavm=doldm; /\* dsavm is now diag [1/(w_1p1i+w_2 p2i)] but can be overwritten*\/ */
+   /* ps is now diag[w_i] * Px * diag [1/(w_1p1i+w_2 p2i)] */
-   /* doldm=dnewm; /\* doldm is now Px * diag [1/(w_1p1i+w_2 p2i)] *\/ */
-   /* dnewm=dsavm; /\* doldm is now Px * diag [1/(w_1p1i+w_2 p2i)] *\/ */
-   /* left Product of this matrix by diag matrix of prevalences (savm) */
-   for (j=1;j<=nlstate+ndeath;j++){
-     for (ii=1;ii<=nlstate+ndeath;ii++){
-       dsavm[ii][j]=(ii==j ? prevacurrent[(int)agefin][ii][ij] : 0.0);
-     }
-   } /* End j, At the end oldm is diag[1/(w_1p1i+w_2 p2i)] */
-   ps=matprod2(doldm, dsavm,1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, dnewm); /* Bug Valgrind */
-   /* newm or out is now diag[w_i] * Px * diag [1/(w_1p1i+w_2 p2i)] */
    /* end bmij */
-   return ps;
+   return ps; /*pointer is unchanged */
  }
  /*************** transition probabilities ***************/
- Line 2715  double **bpmij(double **ps, double *cov,
+ Line 3138  double **bpmij(double **ps, double *cov,
    /*double t34;*/
    int i,j, nc, ii, jj;
-         for(i=1; i<= nlstate; i++){
+   for(i=1; i<= nlstate; i++){
-                 for(j=1; j<i;j++){
+     for(j=1; j<i;j++){
-                         for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){
+       for (nc=1, lnpijopii=0.;nc <=ncovmodel; nc++){
-                                 /*lnpijopii += param[i][j][nc]*cov[nc];*/
+         /*lnpijopii += param[i][j][nc]*cov[nc];*/
-                                 lnpijopii += x[nc+((i-1)*(nlstate+ndeath-1)+j-1)*ncovmodel]*cov[nc];
+         lnpijopii += x[nc+((i-1)*(nlstate+ndeath-1)+j-1)*ncovmodel]*cov[nc];
-                                 /*       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("s1=%.17e, lnpijopii=%.17e\n",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++){
-                                 /*lnpijopii += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];*/
+         /*lnpijopii += x[(i-1)*nlstate*ncovmodel+(j-2)*ncovmodel+nc+(i-1)*(ndeath-1)*ncovmodel]*cov[nc];*/
-                                 lnpijopii += x[nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel]*cov[nc];
+         lnpijopii += x[nc + ((i-1)*(nlstate+ndeath-1)+(j-2))*ncovmodel]*cov[nc];
-                                 /*        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) */
-                 }
+     }
-         }
+   }
-         for(i=1; i<= nlstate; i++){
+   for(i=1; i<= nlstate; i++){
-                 s1=0;
+     s1=0;
-                 for(j=1; j<i; j++){
+     for(j=1; j<i; j++){
-                         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];
-                 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 */
-         } /* end i */
+   } /* end i */
-         for(ii=nlstate+1; ii<= nlstate+ndeath; ii++){
+   for(ii=nlstate+1; ii<= nlstate+ndeath; ii++){
-                 for(jj=1; jj<= nlstate+ndeath; jj++){
+     for(jj=1; jj<= nlstate+ndeath; jj++){
-                         ps[ii][jj]=0;
+       ps[ii][jj]=0;
-                         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++){
-                         s1+=ps[ii][jj];
+       s1+=ps[ii][jj];
-                 }
+     }
-                 for(ii=1; ii<= nlstate; ii++){
+     for(ii=1; ii<= nlstate; ii++){
-                         ps[ii][jj]=ps[ii][jj]/s1;
+       ps[ii][jj]=ps[ii][jj]/s1;
-                 }
+     }
-         }
+   }
-         /* Transposition */
+   /* Transposition */
-         for(jj=1; jj<= nlstate+ndeath; jj++){
+   for(jj=1; jj<= nlstate+ndeath; jj++){
-                 for(ii=jj; ii<= nlstate+ndeath; ii++){
+     for(ii=jj; ii<= nlstate+ndeath; ii++){
-                         s1=ps[ii][jj];
+       s1=ps[ii][jj];
-                         ps[ii][jj]=ps[jj][ii];
+       ps[ii][jj]=ps[jj][ii];
-                         ps[jj][ii]=s1;
+       ps[jj][ii]=s1;
-                 }
+     }
-         }
+   }
-         /* 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]); */
-         /*   } */
+   /*   } */
-         /*   printf("\n "); */
+   /*   printf("\n "); */
-         /* } */
+   /* } */
-         /* printf("\n ");printf("%lf ",cov[2]);*/
+   /* printf("\n ");printf("%lf ",cov[2]);*/
-         /*
+   /*
-                 for(i=1; i<= npar; i++) printf("%f ",x[i]);
+     for(i=1; i<= npar; i++) printf("%f ",x[i]);
-                 goto end;*/
+     goto end;*/
-         return ps;
+   return ps;
  }
  /**************** Product of 2 matrices ******************/
  double **matprod2(double **out, double **in,int nrl, int nrh, int ncl, int nch, int ncolol, int ncoloh, double **b)
  {
    /* Computes the matrix product of in(1,nrh-nrl+1)(1,nch-ncl+1) times
       b(1,nch-ncl+1)(1,ncoloh-ncolol+1) into out(...) */
    /* in, b, out are matrice of pointers which should have been initialized
       before: only the contents of out is modified. The function returns
       a pointer to pointers identical to out */
    int i, j, k;
    for(i=nrl; i<= nrh; i++)
      for(k=ncolol; k<=ncoloh; k++){
        out[i][k]=0.;
- Line 2815  double **matprod2(double **out, double *
+ Line 3238  double **matprod2(double **out, double *
  /************* Higher Matrix Product ***************/
- double ***hpxij(double ***po, int nhstepm, double age, int hstepm, double *x, int nlstate, int stepm, double **oldm, double **savm, int ij )
+ 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
       'nhstepm*hstepm*stepm' months (i.e. until
- Line 2851  double ***hpxij(double ***po, int nhstep
+ Line 3274  double ***hpxij(double ***po, int nhstep
        cov[2]=agexact;
        if(nagesqr==1)
          cov[3]= agexact*agexact;
-       for (k=1; k<=cptcovn;k++)
+       for (k=1; k<=nsd;k++) { /* For single dummy covariates only */
-         cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)];
+                         /* Here comes the value of the covariate 'ij' after renumbering k with single dummy covariates */
-       /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */
+         cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)];
-       for (k=1; k<=cptcovage;k++) /* Should start at cptcovn+1 */
+         /* 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)); */
-         /* cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */
+       }
-         cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2];
+       for (k=1; k<=nsq;k++) { /* For single varying covariates only */
-       /* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]*cov[2]; */
+         /* 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]); */
-       /* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])]*nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */
+       }
+       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)];
+       }
+       /* for (k=1; k<=cptcovn;k++)  */
+       /*        cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,k)]; */
+       /* for (k=1; k<=cptcovage;k++) /\* Should start at cptcovn+1 *\/ */
+       /*        cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; */
+       /* for (k=1; k<=cptcovprod;k++) /\* Useless because included in cptcovn *\/ */
+       /*        cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; */
        /*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/
- Line 2887  double ***hpxij(double ***po, int nhstep
+ Line 3328  double ***hpxij(double ***po, int nhstep
      }
      for(i=1; i<=nlstate+ndeath; i++)
        for(j=1;j<=nlstate+ndeath;j++) {
-                                 po[i][j][h]=newm[i][j];
+         po[i][j][h]=newm[i][j];
-                                 /*if(h==nhstepm) printf("po[%d][%d][%d]=%f ",i,j,h,po[i][j][h]);*/
+         /*if(h==nhstepm) printf("po[%d][%d][%d]=%f ",i,j,h,po[i][j][h]);*/
        }
      /*printf("h=%d ",h);*/
    } /* end h */
-         /*     printf("\n H=%d \n",h); */
+   /*     printf("\n H=%d \n",h); */
    return po;
  }
  /************* Higher Back Matrix Product ***************/
  /* 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 )
+ double ***hbxij(double ***po, int nhstepm, double age, int hstepm, double *x, double ***prevacurrent, int nlstate, int stepm, int ij, int nres )
  {
-   /* Computes the transition matrix starting at age 'age' over
+   /* For a combination of dummy covariate ij, computes the transition matrix starting at age 'age' over
       'nhstepm*hstepm*stepm' months (i.e. until
       age (in years)  age+nhstepm*hstepm*stepm/12) by multiplying
       nhstepm*hstepm matrices.
- Line 2908  double ***hbxij(double ***po, int nhstep
+ Line 3349  double ***hbxij(double ***po, int nhstep
       (typically every 2 years instead of every month which is too big
       for the memory).
       Model is determined by parameters x and covariates have to be
-      included manually here.
+      included manually here. Then we use a call to bmij(x and cov)
+      The addresss of po (p3mat allocated to the dimension of nhstepm) should be stored for output
    */
    int i, j, d, h, k;
-   double **out, cov[NCOVMAX+1];
+   double **out, cov[NCOVMAX+1], **bmij();
-   double **newm;
+   double **newm, ***newmm;
    double agexact;
    double agebegin, ageend;
    double **oldm, **savm;
-   oldm=oldms;savm=savms;
+   newmm=po; /* To be saved */
+   oldm=oldms;savm=savms; /* Global pointers */
    /* Hstepm could be zero and should return the unit matrix */
    for (i=1;i<=nlstate+ndeath;i++)
      for (j=1;j<=nlstate+ndeath;j++){
- Line 2932  double ***hbxij(double ***po, int nhstep
+ Line 3374  double ***hbxij(double ***po, int nhstep
        newm=savm;
        /* Covariates have to be included here again */
        cov[1]=1.;
-       agexact=age-((h-1)*hstepm + (d-1))*stepm/YEARM; /* age just before transition */
+       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 *\/ */
        cov[2]=agexact;
        if(nagesqr==1)
          cov[3]= agexact*agexact;
-       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)]; */
-       /* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; */
+       /* /\* cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(ij,Tvar[k])]; *\/ */
-       for (k=1; k<=cptcovage;k++) /* Should start at cptcovn+1 */
+         cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)];
-         /* cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */
+         /* 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+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2];
+       }
-       /* cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(ij,Tvar[Tage[k]])]*cov[2]; */
+       for (k=1; k<=nsq;k++) { /* For single varying covariates only */
-       for (k=1; k<=cptcovprod;k++) /* Useless because included in cptcovn */
+         /* 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++){ /* Should start at cptcovn+1 */
+         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("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,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)];
-       /* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,Tvard[k][1])]*nbcode[Tvard[k][2]][codtabm(ij,Tvard[k][2])]; */
+       }
        /*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/
        /*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*/
        /* Careful transposed matrix */
-       /* age is in cov[2] */
+       /* age is in cov[2], prevacurrent at beginning of transition. */
        /* out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij),\ */
        /*                                                 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); */
        out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent,ij),\
- Line 2977  double ***hbxij(double ***po, int nhstep
+ Line 3430  double ***hbxij(double ***po, int nhstep
      for(i=1; i<=nlstate+ndeath; i++)
        for(j=1;j<=nlstate+ndeath;j++) {
          po[i][j][h]=newm[i][j];
-         /*if(h==nhstepm) printf("po[%d][%d][%d]=%f ",i,j,h,po[i][j][h]);*/
+         /* if(h==nhstepm) */
+         /*   printf("po[%d][%d][%d]=%f ",i,j,h,po[i][j][h]); */
        }
-     /*printf("h=%d ",h);*/
+     /* printf("h=%d %.1f ",h, agexact); */
    } /* end h */
-   /*     printf("\n H=%d \n",h); */
+   /* printf("\n H=%d nhs=%d \n",h, nhstepm); */
    return po;
  }
- Line 3039  double func( double *x)
+ Line 3493  double func( double *x)
           Then computes with function pmij which return a matrix p[i][j] giving the elementary probability
           to be observed in j being in i according to the model.
        */
-       ioffset=2+nagesqr+cptcovage;
+       ioffset=2+nagesqr ;
     /* Fixed */
-                         for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products */
+       for (k=1; k<=ncovf;k++){ /* Simple and product fixed covariates without age* products */
-                                 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[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)*/
-                         }
+       }
        /* 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]
           has been calculated etc */
- Line 3057  double func( double *x)
+ Line 3511  double func( double *x)
           meaning that decodemodel should be used cotvar[mw[mi+1][i]][TTvar[iv]][i]
        */
        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 (single and product but no age )*/
-                                         cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i];
+           /* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; */
-                                 }
+           cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i];
-                                 for (ii=1;ii<=nlstate+ndeath;ii++)
+         }
-                                         for (j=1;j<=nlstate+ndeath;j++){
+         for (ii=1;ii<=nlstate+ndeath;ii++)
-                                                 oldm[ii][j]=(ii==j ? 1.0 : 0.0);
+           for (j=1;j<=nlstate+ndeath;j++){
-                                                 savm[ii][j]=(ii==j ? 1.0 : 0.0);
+             oldm[ii][j]=(ii==j ? 1.0 : 0.0);
-                                         }
+             savm[ii][j]=(ii==j ? 1.0 : 0.0);
-                                 for(d=0; d<dh[mi][i]; d++){
+           }
-                                         newm=savm;
+         for(d=0; d<dh[mi][i]; d++){
-                                         agexact=agev[mw[mi][i]][i]+d*stepm/YEARM;
+           newm=savm;
-                                         cov[2]=agexact;
+           agexact=agev[mw[mi][i]][i]+d*stepm/YEARM;
-                                         if(nagesqr==1)
+           cov[2]=agexact;
-                                                 cov[3]= agexact*agexact;  /* Should be changed here */
+           if(nagesqr==1)
-                                         for (kk=1; kk<=cptcovage;kk++) {
+             cov[3]= agexact*agexact;  /* Should be changed here */
-                                                 cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */
+           for (kk=1; kk<=cptcovage;kk++) {
-                                         }
+           if(!FixedV[Tvar[Tage[kk]]])
-                                         out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
+             cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact; /* Tage[kk] gives the data-covariate associated with age */
-,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
+           else
-                                         savm=oldm;
+             cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]*agexact;
-                                         oldm=newm;
+           }
-                                 } /* end mult */
+           out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
+,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
-                                 /*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */
+           savm=oldm;
-                                 /* But now since version 0.9 we anticipate for bias at large stepm.
+           oldm=newm;
-                                  * If stepm is larger than one month (smallest stepm) and if the exact delay
+         } /* end mult */
-                                  * (in months) between two waves is not a multiple of stepm, we rounded to
-                                  * the nearest (and in case of equal distance, to the lowest) interval but now
+         /*lli=log(out[s[mw[mi][i]][i]][s[mw[mi+1][i]][i]]);*/ /* Original formula */
-                                  * we keep into memory the bias bh[mi][i] and also the previous matrix product
+         /* But now since version 0.9 we anticipate for bias at large stepm.
-                                  * (i.e to dh[mi][i]-1) saved in 'savm'. Then we inter(extra)polate the
+          * If stepm is larger than one month (smallest stepm) and if the exact delay
-                                  * probability in order to take into account the bias as a fraction of the way
+          * (in months) between two waves is not a multiple of stepm, we rounded to
+          * the nearest (and in case of equal distance, to the lowest) interval but now
+          * we keep into memory the bias bh[mi][i] and also the previous matrix product
+          * (i.e to dh[mi][i]-1) saved in 'savm'. Then we inter(extra)polate the
+          * probability in order to take into account the bias as a fraction of the way
                                   * from savm to out if bh is negative or even beyond if bh is positive. bh varies
                                   * -stepm/2 to stepm/2 .
                                   * For stepm=1 the results are the same as for previous versions of Imach.
                                   * For stepm > 1 the results are less biased than in previous versions.
                                   */
-                                 s1=s[mw[mi][i]][i];
+         s1=s[mw[mi][i]][i];
-                                 s2=s[mw[mi+1][i]][i];
+         s2=s[mw[mi+1][i]][i];
-                                 bbh=(double)bh[mi][i]/(double)stepm;
+         bbh=(double)bh[mi][i]/(double)stepm;
-                                 /* bias bh is positive if real duration
+         /* bias bh is positive if real duration
-                                  * is higher than the multiple of stepm and negative otherwise.
+          * is higher than the multiple of stepm and negative otherwise.
-                                  */
+          */
-                                 /* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/
+         /* lli= (savm[s1][s2]>1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2]));*/
-                                 if( s2 > nlstate){
+         if( s2 > nlstate){
-                                         /* i.e. if s2 is a death state and if the date of death is known
+           /* i.e. if s2 is a death state and if the date of death is known
-                                                  then the contribution to the likelihood is the probability to
+              then the contribution to the likelihood is the probability to
-                                                  die between last step unit time and current  step unit time,
+              die between last step unit time and current  step unit time,
-                                                  which is also equal to probability to die before dh
+              which is also equal to probability to die before dh
-                                                  minus probability to die before dh-stepm .
+              minus probability to die before dh-stepm .
-                                                  In version up to 0.92 likelihood was computed
+              In version up to 0.92 likelihood was computed
-                                                  as if date of death was unknown. Death was treated as any other
+              as if date of death was unknown. Death was treated as any other
-                                                  health state: the date of the interview describes the actual state
+              health state: the date of the interview describes the actual state
-                                                  and not the date of a change in health state. The former idea was
+              and not the date of a change in health state. The former idea was
-                                                  to consider that at each interview the state was recorded
+              to consider that at each interview the state was recorded
-                                                  (healthy, disable or death) and IMaCh was corrected; but when we
+              (healthy, disable or death) and IMaCh was corrected; but when we
-                                                  introduced the exact date of death then we should have modified
+              introduced the exact date of death then we should have modified
-                                                  the contribution of an exact death to the likelihood. This new
+              the contribution of an exact death to the likelihood. This new
-                                                  contribution is smaller and very dependent of the step unit
+              contribution is smaller and very dependent of the step unit
-                                                  stepm. It is no more the probability to die between last interview
+              stepm. It is no more the probability to die between last interview
-                                                  and month of death but the probability to survive from last
+              and month of death but the probability to survive from last
-                                                  interview up to one month before death multiplied by the
+              interview up to one month before death multiplied by the
-                                                  probability to die within a month. Thanks to Chris
+              probability to die within a month. Thanks to Chris
-                                                  Jackson for correcting this bug.  Former versions increased
+              Jackson for correcting this bug.  Former versions increased
-                                                  mortality artificially. The bad side is that we add another loop
+              mortality artificially. The bad side is that we add another loop
-                                                  which slows down the processing. The difference can be up to 10%
+              which slows down the processing. The difference can be up to 10%
-                                                  lower mortality.
+              lower mortality.
-                                         */
+           */
-                                         /* If, at the beginning of the maximization mostly, the
+           /* If, at the beginning of the maximization mostly, the
-                                                  cumulative probability or probability to be dead is
+              cumulative probability or probability to be dead is
-                                                  constant (ie = 1) over time d, the difference is equal to
+              constant (ie = 1) over time d, the difference is equal to
 .  out[s1][3] = savm[s1][3]: probability, being at state
-                                                  s1 at precedent wave, to be dead a month before current
+              s1 at precedent wave, to be dead a month before current
-                                                  wave is equal to probability, being at state s1 at
+              wave is equal to probability, being at state s1 at
-                                                  precedent wave, to be dead at mont of the current
+              precedent wave, to be dead at mont of the current
-                                                  wave. Then the observed probability (that this person died)
+              wave. Then the observed probability (that this person died)
-                                                  is null according to current estimated parameter. In fact,
+              is null according to current estimated parameter. In fact,
-                                                  it should be very low but not zero otherwise the log go to
+              it should be very low but not zero otherwise the log go to
-                                                  infinity.
+              infinity.
-                                         */
+           */
  /* #ifdef INFINITYORIGINAL */
  /*          lli=log(out[s1][s2] - savm[s1][s2]); */
  /* #else */
- Line 3354  double funcone( double *x)
+ Line 3812  double funcone( double *x)
    for(k=1; k<=nlstate; k++) ll[k]=0.;
    ioffset=0;
    for (i=1,ipmx=0, sw=0.; i<=imx; i++){
-     ioffset=2+nagesqr+cptcovage;
+     /* ioffset=2+nagesqr+cptcovage; */
+     ioffset=2+nagesqr;
      /* Fixed */
      /* 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 *\/ */
- Line 3381  double funcone( double *x)
+ Line 3840  double funcone( double *x)
      for(mi=1; mi<= wav[i]-1; mi++){  /* Varying with waves */
      /* Wave varying (but not age varying) */
        for(k=1; k <= ncovv ; k++){ /* Varying  covariates (single and product but no age )*/
-                                 cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i];
+         /* cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]][i]; */
-                         }
+         cov[ioffset+TvarVind[k]]=cotvar[mw[mi][i]][Tvar[TvarVind[k]]-ncovcol-nqv][i];
+       }
        /* for(itv=1; itv <= ntveff; itv++){ /\* Varying dummy covariates (single??)*\/ */
-                                 /* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; /\* Counting the # varying covariate from 1 to ntveff *\/ */
+       /* iv= Tvar[Tmodelind[ioffset-2-nagesqr-cptcovage+itv]]-ncovcol-nqv; /\* Counting the # varying covariate from 1 to ntveff *\/ */
-                                 /* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; */
+       /* cov[ioffset+iv]=cotvar[mw[mi][i]][iv][i]; */
-                                 /* k=ioffset-2-nagesqr-cptcovage+itv; /\* position in simple model *\/ */
+       /* k=ioffset-2-nagesqr-cptcovage+itv; /\* position in simple model *\/ */
-                                 /* cov[ioffset+itv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; */
+       /* cov[ioffset+itv]=cotvar[mw[mi][i]][TmodelInvind[itv]][i]; */
-                                 /* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][TmodelInvind[itv]][i]=%f\n", i, mi, itv, TmodelInvind[itv],cotvar[mw[mi][i]][TmodelInvind[itv]][i]); */
+       /* printf(" i=%d,mi=%d,itv=%d,TmodelInvind[itv]=%d,cotvar[mw[mi][i]][TmodelInvind[itv]][i]=%f\n", i, mi, itv, TmodelInvind[itv],cotvar[mw[mi][i]][TmodelInvind[itv]][i]); */
        /* for(iqtv=1; iqtv <= nqtveff; iqtv++){ /\* Varying quantitatives covariates *\/ */
-                         /*      iv=TmodelInvQind[iqtv]; /\* Counting the # varying covariate from 1 to ntveff *\/ */
+       /*        iv=TmodelInvQind[iqtv]; /\* Counting the # varying covariate from 1 to ntveff *\/ */
-                         /*      /\* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); *\/ */
+       /*        /\* printf(" i=%d,mi=%d,iqtv=%d,TmodelInvQind[iqtv]=%d,cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]=%f\n", i, mi, iqtv, TmodelInvQind[iqtv],cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]); *\/ */
-                         /*      cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]; */
+       /*        cov[ioffset+ntveff+iqtv]=cotqvar[mw[mi][i]][TmodelInvQind[iqtv]][i]; */
        /* } */
        for (ii=1;ii<=nlstate+ndeath;ii++)
-                                 for (j=1;j<=nlstate+ndeath;j++){
+         for (j=1;j<=nlstate+ndeath;j++){
-                                         oldm[ii][j]=(ii==j ? 1.0 : 0.0);
+           oldm[ii][j]=(ii==j ? 1.0 : 0.0);
-                                         savm[ii][j]=(ii==j ? 1.0 : 0.0);
+           savm[ii][j]=(ii==j ? 1.0 : 0.0);
-                                 }
+         }
        agebegin=agev[mw[mi][i]][i]; /* Age at beginning of effective wave */
        ageend=agev[mw[mi][i]][i] + (dh[mi][i])*stepm/YEARM; /* Age at end of effective wave and at the end of transition */
        for(d=0; d<dh[mi][i]; d++){  /* Delay between two effective waves */
-                                 /*dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i]
+       /* for(d=0; d<=0; d++){  /\* Delay between two effective waves Only one matrix to speed up*\/ */
-                                         and mw[mi+1][i]. dh depends on stepm.*/
+         /*dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i]
-                                 newm=savm;
+           and mw[mi+1][i]. dh depends on stepm.*/
-                                 agexact=agev[mw[mi][i]][i]+d*stepm/YEARM;
+         newm=savm;
-                                 cov[2]=agexact;
+         agexact=agev[mw[mi][i]][i]+d*stepm/YEARM;  /* Here d is needed */
-                                 if(nagesqr==1)
+         cov[2]=agexact;
-                                         cov[3]= agexact*agexact;
+         if(nagesqr==1)
-                                 for (kk=1; kk<=cptcovage;kk++) {
+           cov[3]= agexact*agexact;
-                                         cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact;
+         for (kk=1; kk<=cptcovage;kk++) {
-                                 }
+           if(!FixedV[Tvar[Tage[kk]]])
-                                 /* printf("i=%d,mi=%d,d=%d,mw[mi][i]=%d\n",i, mi,d,mw[mi][i]); */
+             cov[Tage[kk]+2+nagesqr]=covar[Tvar[Tage[kk]]][i]*agexact;
-                                 /* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */
+           else
-                                 out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
+             cov[Tage[kk]+2+nagesqr]=cotvar[mw[mi][i]][Tvar[Tage[kk]]-ncovcol-nqv][i]*agexact;
-,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
+         }
-                                 /* out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, */
+         /* printf("i=%d,mi=%d,d=%d,mw[mi][i]=%d\n",i, mi,d,mw[mi][i]); */
-                                 /*           1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); */
+         /* savm=pmij(pmmij,cov,ncovmodel,x,nlstate); */
-                                 savm=oldm;
+         out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath,
-                                 oldm=newm;
+,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate));
+         /* out=matprod2(newm,oldm,1,nlstate+ndeath,1,nlstate+ndeath, */
+         /*           1,nlstate+ndeath,pmij(pmmij,cov,ncovmodel,x,nlstate)); */
+         savm=oldm;
+         oldm=newm;
        } /* end mult */
        s1=s[mw[mi][i]][i];
        s2=s[mw[mi+1][i]][i];
        /* if(s2==-1){ */
-       /*        printf(" s1=%d, s2=%d i=%d \n", s1, s2, i); */
+       /*        printf(" ERROR s1=%d, s2=%d i=%d \n", s1, s2, i); */
        /*        /\* exit(1); *\/ */
        /* } */
        bbh=(double)bh[mi][i]/(double)stepm;
- Line 3434  double funcone( double *x)
+ Line 3898  double funcone( double *x)
         * is higher than the multiple of stepm and negative otherwise.
         */
        if( s2 > nlstate && (mle <5) ){  /* Jackson */
-                                 lli=log(out[s1][s2] - savm[s1][s2]);
+         lli=log(out[s1][s2] - savm[s1][s2]);
        } else if  ( s2==-1 ) { /* alive */
-                                 for (j=1,survp=0. ; j<=nlstate; j++)
+         for (j=1,survp=0. ; j<=nlstate; j++)
-                                         survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j];
+           survp += (1.+bbh)*out[s1][j]- bbh*savm[s1][j];
-                                 lli= log(survp);
+         lli= log(survp);
        }else if (mle==1){
-                                 lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
+         lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
        } else if(mle==2){
-                                 lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* linear interpolation */
+         lli= (savm[s1][s2]>(double)1.e-8 ?log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* linear interpolation */
        } else if(mle==3){  /* exponential inter-extrapolation */
-                                 lli= (savm[s1][s2]>(double)1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */
+         lli= (savm[s1][s2]>(double)1.e-8 ?(1.+bbh)*log(out[s1][s2])- bbh*log(savm[s1][s2]):log((1.+bbh)*out[s1][s2])); /* exponential inter-extrapolation */
        } else if (mle==4){  /* mle=4 no inter-extrapolation */
-                                 lli=log(out[s1][s2]); /* Original formula */
+         lli=log(out[s1][s2]); /* Original formula */
        } else{  /* mle=0 back to 1 */
-                                 lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
+         lli= log((1.+bbh)*out[s1][s2]- bbh*savm[s1][s2]); /* linear interpolation */
-                                 /*lli=log(out[s1][s2]); */ /* Original formula */
+         /*lli=log(out[s1][s2]); */ /* Original formula */
        } /* End of if */
        ipmx +=1;
        sw += weight[i];
        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]); */
        if(globpr){
-                                 fprintf(ficresilk,"%9ld %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 ", \
-                                                                 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,
-*weight[i]*lli,out[s1][s2],savm[s1][s2]);
+*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);
-                                 }
+         }
-                                 fprintf(ficresilk," %10.6f\n", -llt);
+         fprintf(ficresilk," %10.6f\n", -llt);
        }
          } /* end of wave */
  } /* end of individual */
- Line 3480  return -l;
+ Line 3944  return -l;
  /*************** 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
       the selection of individuals/waves and
- Line 3504  void likelione(FILE *ficres,double p[],
+ Line 3968  void likelione(FILE *ficres,double p[],
      fprintf(ficresilk," -2*gipw/gsw*weight*ll(total)\n");
    }
-   *fretone=(*funcone)(p);
+   *fretone=(*func)(p);
    if(*globpri !=0){
      fclose(ficresilk);
      if (mle ==0)
- Line 3512  void likelione(FILE *ficres,double p[],
+ Line 3976  void likelione(FILE *ficres,double p[],
      else if(mle >=1)
        fprintf(fichtm,"\n<br>File of contributions to the likelihood computed with optimized parameters mle = %d.",mle);
      fprintf(fichtm," You should at least run with mle >= 1 to get starting values corresponding to the optimized parameters in order to visualize the real contribution of each individual/wave: <a href=\"%s\">%s</a><br>\n",subdirf(fileresilk),subdirf(fileresilk));
+     fprintf(fichtm,"\n<br>Equation of the model: <b>model=1+age+%s</b><br>\n",model);
      for (k=1; k<= nlstate ; k++) {
        fprintf(fichtm,"<br>- Probability p<sub>%dj</sub> by origin %d and destination j. Dot's sizes are related to corresponding weight: <a href=\"%s-p%dj.png\">%s-p%dj.png</a><br> \
- Line 3814  double hessij( double x[], double **hess
+ Line 4278  double hessij( double x[], double **hess
        kmax=kmax+10;
      }
      if(kmax >=10 || firstime ==1){
-       printf("Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you may increase ftol=%.2e\n",thetai,thetaj, ftol);
+       printf("Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you could increase ftol=%.2e\n",thetai,thetaj, ftol);
-       fprintf(ficlog,"Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you may increase ftol=%.2e\n",thetai,thetaj, ftol);
+       fprintf(ficlog,"Warning: directions %d-%d, you are not estimating the Hessian at the exact maximum likelihood; you could increase ftol=%.2e\n",thetai,thetaj, ftol);
        printf("%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti*k=%.12e deltj*k=%.12e, xi-de*k=%.12e xj-de*k=%.12e  res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
        fprintf(ficlog,"%d %d k=%d, k1=%.12e k2=%.12e k3=%.12e k4=%.12e delti*k=%.12e deltj*k=%.12e, xi-de*k=%.12e xj-de*k=%.12e  res=%.12e k1234=%.12e,k1-2=%.12e,k3-4=%.12e\n",thetai,thetaj,k,k1,k2,k3,k4,delti[thetai]/k,delti[thetaj]/k,x[thetai]-delti[thetai]/k,x[thetaj]-delti[thetaj]/k, res,k1-k2-k3+k4,k1-k2,k3-k4);
      }
- Line 3904  void ludcmp(double **a, int n, int *indx
+ Line 4368  void ludcmp(double **a, int n, int *indx
      big=0.0;
      for (j=1;j<=n;j++)
        if ((temp=fabs(a[i][j])) > big) big=temp;
-     if (big == 0.0) nrerror("Singular matrix in routine ludcmp");
+     if (big == 0.0){
+       printf(" Singular Hessian matrix at row %d:\n",i);
+       for (j=1;j<=n;j++) {
+         printf(" a[%d][%d]=%f,",i,j,a[i][j]);
+         fprintf(ficlog," a[%d][%d]=%f,",i,j,a[i][j]);
+       }
+       fflush(ficlog);
+       fclose(ficlog);
+       nrerror("Singular matrix in routine ludcmp");
+     }
      vv[i]=1.0/big;
    }
    for (j=1;j<=n;j++) {
- Line 3970  void pstamp(FILE *fichier)
+ Line 4443  void pstamp(FILE *fichier)
    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 ********************/
- void  freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, \
+ void  freqsummary(char fileres[], double p[], double pstart[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, \
                    int *Tvaraff, int *invalidvarcomb, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[], \
                    int firstpass,  int lastpass, int stepm, int weightopt, char model[])
- {  /* Some frequencies */
+ {  /* Some frequencies as well as proposing some starting values */
-   int i, m, jk, j1, bool, z1,j, k, iv;
+   int i, m, jk, j1, bool, z1,j, nj, nl, k, iv, jj=0, s1=1, s2=1;
    int iind=0, iage=0;
    int mi; /* Effective wave */
    int first;
    double ***freq; /* Frequencies */
-   double *meanq;
+   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);
+   double *meanq, *stdq, *idq;
    double **meanqt;
    double *pp, **prop, *posprop, *pospropt;
    double pos=0., posproptt=0., pospropta=0., k2, dateintsum=0,k2cpt=0;
- Line 3989  void  freqsummary(char fileres[], int ia
+ Line 4480  void  freqsummary(char fileres[], int ia
    double agebegin, ageend;
    pp=vector(1,nlstate);
-   prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+3+AGEMARGE);
+   prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+4+AGEMARGE);
    posprop=vector(1,nlstate); /* Counting the number of transition starting from a live state per age */
    pospropt=vector(1,nlstate); /* Counting the number of transition starting from a live state */
    /* prop=matrix(1,nlstate,iagemin,iagemax+3); */
    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);
    strcpy(fileresp,"P_");
    strcat(fileresp,fileresu);
- Line 4003  void  freqsummary(char fileres[], int ia
+ Line 4496  void  freqsummary(char fileres[], int ia
      fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp);
      exit(0);
    }
    strcpy(fileresphtm,subdirfext(optionfilefiname,"PHTM_",".htm"));
    if((ficresphtm=fopen(fileresphtm,"w"))==NULL) {
      printf("Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno));
- Line 4013  void  freqsummary(char fileres[], int ia
+ Line 4506  void  freqsummary(char fileres[], int ia
    }
    else{
      fprintf(ficresphtm,"<html><head>\n<title>IMaCh PHTM_ %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",\
              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</h4>\n",fileresphtm, fileresphtm);
+   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);
    strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm"));
    if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) {
      printf("Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno));
      fprintf(ficlog,"Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno));
      fflush(ficlog);
      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> \
- <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",\
              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 by age at begin of transition </h4>Unknown status is -1<br/>\n",fileresphtmfr, fileresphtmfr);
+   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);
-   freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin-AGEMARGE,iagemax+3+AGEMARGE);
+   y= vector(iagemin-AGEMARGE,iagemax+4+AGEMARGE);
+   x= vector(iagemin-AGEMARGE,iagemax+4+AGEMARGE);
+   freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin-AGEMARGE,iagemax+4+AGEMARGE);
    j1=0;
    /* j=ncoveff;  /\* Only fixed dummy covariates *\/ */
    j=cptcoveff;  /* Only dummy covariates of the model */
    if (cptcovn<1) {j=1;ncodemax[1]=1;}
-   first=1;
    /* Detects if a combination j1 is empty: for a multinomial variable like 3 education levels:
       reference=low_education V1=0,V2=0
       med_educ                V1=1 V2=0,
       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
    */
+   dateintsum=0;
+   k2cpt=0;
-   for (j1 = 1; j1 <= (int) pow(2,j); j1++){ /* Loop on covariates combination in order of model, excluding quantitatives V4=0, V3=0 for example, fixed or varying covariates */
+   if(cptcoveff == 0 )
-     posproptt=0.;
+     nl=1;  /* Constant and age model only */
-     /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);
+   else
-       scanf("%d", i);*/
+     nl=2;
-     for (i=-5; i<=nlstate+ndeath; i++)
-       for (jk=-5; jk<=nlstate+ndeath; jk++)
+   /* if a constant only model, one pass to compute frequency tables and to write it on ficresp */
-                                 for(m=iagemin; m <= iagemax+3; m++)
+   /* Loop on nj=1 or 2 if dummy covariates j!=0
-                                         freq[i][jk][m]=0;
+    *   Loop on j1(1 to 2**cptcoveff) covariate combination
+    *     freq[s1][s2][iage] =0.
-     for (i=1; i<=nlstate; i++)  {
+    *     Loop on iind
-       for(m=iagemin; m <= iagemax+3; m++)
+    *       ++freq[s1][s2][iage] weighted
-                                 prop[i][m]=0;
+    *     end iind
-       posprop[i]=0;
+    *     if covariate and j!0
-       pospropt[i]=0;
+    *       headers Variable on one line
-     }
+    *     endif cov j!=0
-     /* for (z1=1; z1<= nqfveff; z1++) {   */
+    *     header of frequency table by age
-     /*   meanq[z1]+=0.; */
+    *     Loop on age
-     /*   for(m=1;m<=lastpass;m++){ */
+    *       pp[s1]+=freq[s1][s2][iage] weighted
-     /*  meanqt[m][z1]=0.; */
+    *       pos+=freq[s1][s2][iage] weighted
-     /*   } */
+    *       Loop on s1 initial state
-     /* } */
+    *         fprintf(ficresp
+    *       end s1
-     dateintsum=0;
+    *     end age
-     k2cpt=0;
+    *     if j!=0 computes starting values
-     /* For that combination of covariate j1, we count and print the frequencies in one pass */
+    *     end compute starting values
-     for (iind=1; iind<=imx; iind++) { /* For each individual iind */
+    *   end j1
-       bool=1;
+    * end nl
-       if(anyvaryingduminmodel==0){ /* If All fixed covariates */
+    */
-                                 if (cptcoveff >0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */
+   for (nj = 1; nj <= nl; nj++){   /* nj= 1 constant model, nl number of loops. */
-           /* for (z1=1; z1<= nqfveff; z1++) {   */
+     if(nj==1)
-           /*   meanq[z1]+=coqvar[Tvar[z1]][iind];  /\* Computes mean of quantitative with selected filter *\/ */
+       j=0;  /* First pass for the constant */
-           /* } */
+     else{
-                                         for (z1=1; z1<=cptcoveff; z1++) {
+       j=cptcoveff; /* Other passes for the covariate values */
-                                                 /* if(Tvaraff[z1] ==-20){ */
-                                                 /*       /\* sumnew+=cotvar[mw[mi][iind]][z1][iind]; *\/ */
-                                                 /* }else  if(Tvaraff[z1] ==-10){ */
-                                                 /*       /\* sumnew+=coqvar[z1][iind]; *\/ */
-                                                 /* }else  */
-                                                 if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]){
-                                                         /* Tests if this individual iind responded to j1 (V4=1 V3=0) */
-                                                         bool=0;
-                                                         /* printf("bool=%d i=%d, z1=%d, Tvaraff[%d]=%d, covar[Tvarff][%d]=%2f, codtabm(%d,%d)=%d, nbcode[Tvaraff][codtabm(%d,%d)=%d, j1=%d\n",
-                                                                  bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1),
-                                                                  j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/
-                                                         /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/
-                                                 } /* Onlyf fixed */
-                                         } /* end z1 */
-                                 } /* cptcovn > 0 */
-       } /* end any */
-       if (bool==1){ /* We selected an individual iind satisfying combination j1 or all fixed */
-                                 /* for(m=firstpass; m<=lastpass; m++){ */
-                                 for(mi=1; mi<wav[iind];mi++){ /* For that wave */
-                                         m=mw[mi][iind];
-                                         if(anyvaryingduminmodel==1){ /* Some are varying covariates */
-                                                 for (z1=1; z1<=cptcoveff; z1++) {
-                                                         if( Fixed[Tmodelind[z1]]==1){
-                                                                 iv= Tvar[Tmodelind[z1]]-ncovcol-nqv;
-                                                                 if (cotvar[m][iv][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) /* iv=1 to ntv, right modality */
-                                                                         bool=0;
-                                                         }else if( Fixed[Tmodelind[z1]]== 0) { /* fixed */
-                                                                 if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) {
-                                                                         bool=0;
-                                                                 }
-                                                         }
-                                                 }
-                                         }/* Some are varying covariates, we tried to speed up if all fixed covariates in the model, avoiding waves loop  */
-                                         /* bool =0 we keep that guy which corresponds to the combination of dummy values */
-                                         if(bool==1){
-                                                 /* 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. */
-                                                 agebegin=agev[m][iind]; /* Age at beginning of wave before transition*/
-                                                 ageend=agev[m][iind]+(dh[m][iind])*stepm/YEARM; /* Age at end of wave and transition */
-                                                 if(m >=firstpass && m <=lastpass){
-                                                         k2=anint[m][iind]+(mint[m][iind]/12.);
-                                                         /*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/
-                                                         if(agev[m][iind]==0) agev[m][iind]=iagemax+1;  /* All ages equal to 0 are in iagemax+1 */
-                                                         if(agev[m][iind]==1) agev[m][iind]=iagemax+2;  /* All ages equal to 1 are in iagemax+2 */
-                                                         if (s[m][iind]>0 && s[m][iind]<=nlstate)  /* If status at wave m is known and a live state */
-                                                                 prop[s[m][iind]][(int)agev[m][iind]] += weight[iind];  /* At age of beginning of transition, where status is known */
-                                                         if (m<lastpass) {
-                                                                 /* if(s[m][iind]==4 && s[m+1][iind]==4) */
-                                                                 /*   printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind]); */
-                                                                 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.));
-                                                                 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)((agebegin+ageend)/2.)] += weight[iind]; */
-                                                                 freq[s[m][iind]][s[m+1][iind]][iagemax+3] += weight[iind]; /* Total is in iagemax+3 *//* At age of beginning of transition, where status is known */
-                                                         }
-                                                 } /* end if between passes */
-                                                 if ((agev[m][iind]>1) && (agev[m][iind]< (iagemax+3)) && (anint[m][iind]!=9999) && (mint[m][iind]!=99)) {
-                                                         dateintsum=dateintsum+k2;
-                                                         k2cpt++;
-                                                         /* printf("iind=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",iind, dateintsum/k2cpt, dateintsum,k2cpt, k2); */
-                                                 }
-                                         } /* end bool 2 */
-                                 } /* end m */
-       } /* end bool */
-     } /* end iind = 1 to imx */
-     /* prop[s][age] is feeded 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 */
-     /*      fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
-     pstamp(ficresp);
-     /* if  (ncoveff>0) { */
-     if  (cptcoveff>0) {
-       fprintf(ficresp, "\n#********** Variable ");
-       fprintf(ficresphtm, "\n<br/><br/><h3>********** Variable ");
-       fprintf(ficresphtmfr, "\n<br/><br/><h3>********** Variable ");
-       for (z1=1; z1<=cptcoveff; z1++){
-                                 fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
-                                 fprintf(ficresphtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
-                                 fprintf(ficresphtmfr, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
-       }
-       fprintf(ficresp, "**********\n#");
-       fprintf(ficresphtm, "**********</h3>\n");
-       fprintf(ficresphtmfr, "**********</h3>\n");
-       fprintf(ficlog, "\n#********** Variable ");
-       for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
-       fprintf(ficlog, "**********\n");
-     }
-     fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">");
-     for(i=1; i<=nlstate;i++) {
-       fprintf(ficresp, " Age 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(ficresp, "\n");
+     first=1;
-     fprintf(ficresphtm, "\n");
+     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 */
+       posproptt=0.;
-     /* Header of frequency table by age */
+       /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]);
-     fprintf(ficresphtmfr,"<table style=\"text-align:center; border: 1px solid\">");
+         scanf("%d", i);*/
-     fprintf(ficresphtmfr,"<th>Age</th> ");
+       for (i=-5; i<=nlstate+ndeath; i++)
-     for(jk=-1; jk <=nlstate+ndeath; jk++){
+         for (s2=-5; s2<=nlstate+ndeath; s2++)
-       for(m=-1; m <=nlstate+ndeath; m++){
+           for(m=iagemin; m <= iagemax+3; m++)
-                                 if(jk!=0 && m!=0)
+             freq[i][s2][m]=0;
-                                         fprintf(ficresphtmfr,"<th>%d%d</th> ",jk,m);
+       for (i=1; i<=nlstate; i++)  {
+         for(m=iagemin; m <= iagemax+3; m++)
+           prop[i][m]=0;
+         posprop[i]=0;
+         pospropt[i]=0;
+       }
+       for (z1=1; z1<= nqfveff; z1++) { /* zeroing for each combination j1 as well as for the total */
+         idq[z1]=0.;
+         meanq[z1]=0.;
+         stdq[z1]=0.;
+       }
+       /* for (z1=1; z1<= nqtveff; z1++) { */
+       /*   for(m=1;m<=lastpass;m++){ */
+       /*          meanqt[m][z1]=0.; */
+       /*        } */
+       /* }       */
+       /* dateintsum=0; */
+       /* k2cpt=0; */
+       /* For that combination of covariates j1 (V4=1 V3=0 for example), we count and print the frequencies in one pass */
+       for (iind=1; iind<=imx; iind++) { /* For each individual iind */
+         bool=1;
+         if(j !=0){
+           if(anyvaryingduminmodel==0){ /* If All fixed covariates */
+             if (cptcoveff >0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */
+               for (z1=1; z1<=cptcoveff; z1++) { /* loops on covariates in the model */
+                 /* if(Tvaraff[z1] ==-20){ */
+                 /*       /\* sumnew+=cotvar[mw[mi][iind]][z1][iind]; *\/ */
+                 /* }else  if(Tvaraff[z1] ==-10){ */
+                 /*       /\* sumnew+=coqvar[z1][iind]; *\/ */
+                 /* }else  */
+                 if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,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) */
+                   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",
+                      bool,i,z1, z1, Tvaraff[z1],i,covar[Tvaraff[z1]][i],j1,z1,codtabm(j1,z1),
+                      j1,z1,nbcode[Tvaraff[z1]][codtabm(j1,z1)],j1);*/
+                   /* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/
+                 } /* Onlyf fixed */
+               } /* end z1 */
+             } /* cptcovn > 0 */
+           } /* end any */
+         }/* end j==0 */
+         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(mi=1; mi<wav[iind];mi++){ /* For each wave */
+             m=mw[mi][iind];
+             if(j!=0){
+               if(anyvaryingduminmodel==1){ /* Some are varying covariates */
+                 for (z1=1; z1<=cptcoveff; z1++) {
+                   if( Fixed[Tmodelind[z1]]==1){
+                     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
+                                                                                       value is -1, we don't select. It differs from the
+                                                                                       constant and age model which counts them. */
+                       bool=0; /* not selected */
+                   }else if( Fixed[Tmodelind[z1]]== 0) { /* fixed */
+                     if (covar[Tvaraff[z1]][iind]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) {
+                       bool=0;
+                     }
+                   }
+                 }
+               }/* Some are varying covariates, we tried to speed up if all fixed covariates in the model, avoiding waves loop  */
+             } /* end j==0 */
+             /* bool =0 we keep that guy which corresponds to the combination of dummy values */
+             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]
+                  and mw[mi+1][iind]. dh depends on stepm. */
+               agebegin=agev[m][iind]; /* Age at beginning of wave before transition*/
+               ageend=agev[m][iind]+(dh[m][iind])*stepm/YEARM; /* Age at end of wave and transition */
+               if(m >=firstpass && m <=lastpass){
+                 k2=anint[m][iind]+(mint[m][iind]/12.);
+                 /*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/
+                 if(agev[m][iind]==0) agev[m][iind]=iagemax+1;  /* All ages equal to 0 are in iagemax+1 */
+                 if(agev[m][iind]==1) agev[m][iind]=iagemax+2;  /* All ages equal to 1 are in iagemax+2 */
+                 if (s[m][iind]>0 && s[m][iind]<=nlstate)  /* If status at wave m is known and a live state */
+                   prop[s[m][iind]][(int)agev[m][iind]] += weight[iind];  /* At age of beginning of transition, where status is known */
+                 if (m<lastpass) {
+                   /* if(s[m][iind]==4 && s[m+1][iind]==4) */
+                   /*   printf(" num=%ld m=%d, iind=%d s1=%d s2=%d agev at m=%d\n", num[iind], m, iind,s[m][iind],s[m+1][iind], (int)agev[m][iind]); */
+                   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.));
+                   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 */
+                     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 */
+                   }
+                   /* 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); */
+                   /* freq[s[m][iind]][s[m+1][iind]][(int)((agebegin+ageend)/2.)] += weight[iind]; */
+                   freq[s[m][iind]][s[m+1][iind]][iagemax+3] += weight[iind]; /* Total is in iagemax+3 *//* At age of beginning of transition, where status is known */
+                 }
+               } /* end if between passes */
+               if ((agev[m][iind]>1) && (agev[m][iind]< (iagemax+3)) && (anint[m][iind]!=9999) && (mint[m][iind]!=99) && (j==0)) {
+                 dateintsum=dateintsum+k2; /* on all covariates ?*/
+                 k2cpt++;
+                 /* printf("iind=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",iind, dateintsum/k2cpt, dateintsum,k2cpt, k2); */
+               }
+             }else{
+               bool=1;
+             }/* end bool 2 */
+           } /* 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 iind = 1 to imx */
+       /* prop[s][age] is feeded 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 */
+       /*      fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2);*/
+       if(cptcoveff==0 && nj==1) /* no covariate and first pass */
+         pstamp(ficresp);
+       if  (cptcoveff>0 && j!=0){
+         pstamp(ficresp);
+         printf( "\n#********** Variable ");
+         fprintf(ficresp, "\n#********** Variable ");
+         fprintf(ficresphtm, "\n<br/><br/><h3>********** Variable ");
+         fprintf(ficresphtmfr, "\n<br/><br/><h3>********** Variable ");
+         fprintf(ficlog, "\n#********** Variable ");
+         for (z1=1; z1<=cptcoveff; z1++){
+           if(!FixedV[Tvaraff[z1]]){
+             printf( "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,z1)]);
+             fprintf(ficresphtm, "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,z1)]);
+             fprintf(ficlog, "V%d(fixed)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
+           }else{
+             printf( "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,z1)]);
+             fprintf(ficresphtm, "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,z1)]);
+             fprintf(ficlog, "V%d(varying)=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
+           }
+         }
+         printf( "**********\n#");
+         fprintf(ficresp, "**********\n#");
+         fprintf(ficresphtm, "**********</h3>\n");
+         fprintf(ficresphtmfr, "**********</h3>\n");
+         fprintf(ficlog, "**********\n");
        }
-     }
+       /*
-     fprintf(ficresphtmfr, "\n");
+         Printing means of quantitative variables if any
+       */
-     /* For each age */
+       for (z1=1; z1<= nqfveff; z1++) {
-     for(iage=iagemin; iage <= iagemax+3; iage++){
+         fprintf(ficlog,"Mean of fixed quantitative variable V%d on %.0f individuals sum=%f", ncovcol+z1, idq[z1], meanq[z1]);
-       fprintf(ficresphtm,"<tr>");
+         fprintf(ficlog,", mean=%.3g\n",meanq[z1]/idq[z1]);
-       if(iage==iagemax+1){
+         if(weightopt==1){
-                                 fprintf(ficlog,"1");
+           printf(" Weighted mean and standard deviation of");
-                                 fprintf(ficresphtmfr,"<tr><th>0</th> ");
+           fprintf(ficlog," Weighted mean and standard deviation of");
-       }else if(iage==iagemax+2){
+           fprintf(ficresphtmfr," Weighted mean and standard deviation of");
-                                 fprintf(ficlog,"0");
+         }
-                                 fprintf(ficresphtmfr,"<tr><th>Unknown</th> ");
+         printf(" fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1]));
-       }else if(iage==iagemax+3){
+         fprintf(ficlog," fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1]));
-                                 fprintf(ficlog,"Total");
+         fprintf(ficresphtmfr," fixed quantitative variable V%d on %.0f representatives of the population : %6.3g (%6.3g)<p>\n", ncovcol+z1, idq[z1],meanq[z1]/idq[z1], sqrt((stdq[z1]-meanq[z1]*meanq[z1]/idq[z1])/idq[z1]));
-                                 fprintf(ficresphtmfr,"<tr><th>Total</th> ");
+       }
-       }else{
+       /* for (z1=1; z1<= nqtveff; z1++) { */
-                                 if(first==1){
+       /*        for(m=1;m<=lastpass;m++){ */
-                                         first=0;
+       /*          fprintf(ficresphtmfr,"V quantitative id %d, pass id=%d, mean=%f<p>\n", z1, m, meanqt[m][z1]); */
-                                         printf("See log file for details...\n");
+       /*   } */
-                                 }
+       /* } */
-                                 fprintf(ficresphtmfr,"<tr><th>%d</th> ",iage);
-                                 fprintf(ficlog,"Age %d", iage);
+       fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">");
-       }
+       if((cptcoveff==0 && nj==1)|| nj==2 ) /* no covariate and first pass */
-       for(jk=1; jk <=nlstate ; jk++){
+         fprintf(ficresp, " Age");
-                                 for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++)
+       if(nj==2) for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, " V%d=%d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
-                                         pp[jk] += freq[jk][m][iage];
+       for(i=1; i<=nlstate;i++) {
-       }
+         if((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp," Prev(%d)  N(%d)  N  ",i,i);
-       for(jk=1; jk <=nlstate ; jk++){
+         fprintf(ficresphtm, "<th>Age</th><th>Prev(%d)</th><th>N(%d)</th><th>N</th>",i,i);
-                                 for(m=-1, pos=0; m <=0 ; m++)
+       }
-                                         pos += freq[jk][m][iage];
+       if((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp, "\n");
-                                 if(pp[jk]>=1.e-10){
+       fprintf(ficresphtm, "\n");
-                                         if(first==1){
-                                                 printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
+       /* Header of frequency table by age */
-                                         }
+       fprintf(ficresphtmfr,"<table style=\"text-align:center; border: 1px solid\">");
-                                         fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
+       fprintf(ficresphtmfr,"<th>Age</th> ");
-                                 }else{
+       for(s2=-1; s2 <=nlstate+ndeath; s2++){
-                                         if(first==1)
+         for(m=-1; m <=nlstate+ndeath; m++){
-                                                 printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk);
+           if(s2!=0 && m!=0)
-                                         fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk);
+             fprintf(ficresphtmfr,"<th>%d%d</th> ",s2,m);
-                                 }
+         }
        }
+       fprintf(ficresphtmfr, "\n");
-       for(jk=1; jk <=nlstate ; jk++){
-                                 /* posprop[jk]=0; */
+       /* For each age */
-                                 for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)/* Summing on all ages */
+       for(iage=iagemin; iage <= iagemax+3; iage++){
-                                         pp[jk] += freq[jk][m][iage];
+         fprintf(ficresphtm,"<tr>");
-       } /* pp[jk] is the total number of transitions starting from state jk and any ending status until this age */
+         if(iage==iagemax+1){
+           fprintf(ficlog,"1");
-       for(jk=1,pos=0, pospropta=0.; jk <=nlstate ; jk++){
+           fprintf(ficresphtmfr,"<tr><th>0</th> ");
-                                 pos += pp[jk]; /* pos is the total number of transitions until this age */
+         }else if(iage==iagemax+2){
-                                 posprop[jk] += prop[jk][iage]; /* prop is the number of transitions from a live state
+           fprintf(ficlog,"0");
-                                                                                                                                                                         from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */
+           fprintf(ficresphtmfr,"<tr><th>Unknown</th> ");
-                                 pospropta += prop[jk][iage]; /* prop is the number of transitions from a live state
+         }else if(iage==iagemax+3){
-                                                                                                                                                                 from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */
+           fprintf(ficlog,"Total");
-       }
+           fprintf(ficresphtmfr,"<tr><th>Total</th> ");
-       for(jk=1; jk <=nlstate ; jk++){
+         }else{
-                                 if(pos>=1.e-5){
+           if(first==1){
-                                         if(first==1)
+             first=0;
-                                                 printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos);
+             printf("See log file for details...\n");
-                                         fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos);
+           }
-                                 }else{
+           fprintf(ficresphtmfr,"<tr><th>%d</th> ",iage);
-                                         if(first==1)
+           fprintf(ficlog,"Age %d", iage);
-                                                 printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
+         }
-                                         fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
+         for(s1=1; s1 <=nlstate ; s1++){
-                                 }
+           for(m=-1, pp[s1]=0; m <=nlstate+ndeath ; m++)
-                                 if( iage <= iagemax){
+             pp[s1] += freq[s1][m][iage];
-                                         if(pos>=1.e-5){
+         }
-                                                 fprintf(ficresp," %d %.5f %.0f %.0f",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta);
+         for(s1=1; s1 <=nlstate ; s1++){
-                                                 fprintf(ficresphtm,"<th>%d</th><td>%.5f</td><td>%.0f</td><td>%.0f</td>",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta);
+           for(m=-1, pos=0; m <=0 ; m++)
-                                                 /*probs[iage][jk][j1]= pp[jk]/pos;*/
+             pos += freq[s1][m][iage];
-                                                 /*printf("\niage=%d jk=%d j1=%d %.5f %.0f %.0f %f",iage,jk,j1,pp[jk]/pos, pp[jk],pos,probs[iage][jk][j1]);*/
+           if(pp[s1]>=1.e-10){
-                                         }
+             if(first==1){
-                                         else{
+               printf(" %d.=%.0f loss[%d]=%.1f%%",s1,pp[s1],s1,100*pos/pp[s1]);
-                                                 fprintf(ficresp," %d NaNq %.0f %.0f",iage,prop[jk][iage],pospropta);
+             }
-                                                 fprintf(ficresphtm,"<th>%d</th><td>NaNq</td><td>%.0f</td><td>%.0f</td>",iage, prop[jk][iage],pospropta);
+             fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",s1,pp[s1],s1,100*pos/pp[s1]);
-                                         }
+           }else{
-                                 }
+             if(first==1)
-                                 pospropt[jk] +=posprop[jk];
+               printf(" %d.=%.0f loss[%d]=NaNQ%%",s1,pp[s1],s1);
-       } /* end loop jk */
+             fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",s1,pp[s1],s1);
-       /* pospropt=0.; */
+           }
-       for(jk=-1; jk <=nlstate+ndeath; jk++){
+         }
-                                 for(m=-1; m <=nlstate+ndeath; m++){
-                                         if(freq[jk][m][iage] !=0 ) { /* minimizing output */
+         for(s1=1; s1 <=nlstate ; s1++){
-                                                 if(first==1){
+           /* posprop[s1]=0; */
-                                                         printf(" %d%d=%.0f",jk,m,freq[jk][m][iage]);
+           for(m=0, pp[s1]=0; m <=nlstate+ndeath; m++)/* Summing on all ages */
-                                                 }
+             pp[s1] += freq[s1][m][iage];
-                                                 fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][iage]);
+         }       /* pp[s1] is the total number of transitions starting from state s1 and any ending status until this age */
-                                         }
-                                         if(jk!=0 && m!=0)
+         for(s1=1,pos=0, pospropta=0.; s1 <=nlstate ; s1++){
-                                                 fprintf(ficresphtmfr,"<td>%.0f</td> ",freq[jk][m][iage]);
+           pos += pp[s1]; /* pos is the total number of transitions until this age */
-                                 }
+           posprop[s1] += prop[s1][iage]; /* prop is the number of transitions from a live state
-       } /* end loop jk */
+                                             from s1 at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */
-       posproptt=0.;
+           pospropta += prop[s1][iage]; /* prop is the number of transitions from a live state
-       for(jk=1; jk <=nlstate; jk++){
+                                           from s1 at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */
-                                 posproptt += pospropt[jk];
+         }
-       }
-       fprintf(ficresphtmfr,"</tr>\n ");
+         /* Writing ficresp */
-       if(iage <= iagemax){
+         if(cptcoveff==0 && nj==1){ /* no covariate and first pass */
-                                 fprintf(ficresp,"\n");
+           if( iage <= iagemax){
-                                 fprintf(ficresphtm,"</tr>\n");
+             fprintf(ficresp," %d",iage);
+           }
+         }else if( nj==2){
+           if( iage <= iagemax){
+             fprintf(ficresp," %d",iage);
+             for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, " %d %d",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
+           }
+         }
+         for(s1=1; s1 <=nlstate ; s1++){
+           if(pos>=1.e-5){
+             if(first==1)
+               printf(" %d.=%.0f prev[%d]=%.1f%%",s1,pp[s1],s1,100*pp[s1]/pos);
+             fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",s1,pp[s1],s1,100*pp[s1]/pos);
+           }else{
+             if(first==1)
+               printf(" %d.=%.0f prev[%d]=NaNQ%%",s1,pp[s1],s1);
+             fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",s1,pp[s1],s1);
+           }
+           if( iage <= iagemax){
+             if(pos>=1.e-5){
+               if(cptcoveff==0 && nj==1){ /* no covariate and first pass */
+                 fprintf(ficresp," %.5f %.0f %.0f",prop[s1][iage]/pospropta, prop[s1][iage],pospropta);
+               }else if( nj==2){
+                 fprintf(ficresp," %.5f %.0f %.0f",prop[s1][iage]/pospropta, prop[s1][iage],pospropta);
+               }
+               fprintf(ficresphtm,"<th>%d</th><td>%.5f</td><td>%.0f</td><td>%.0f</td>",iage,prop[s1][iage]/pospropta, prop[s1][iage],pospropta);
+               /*probs[iage][s1][j1]= pp[s1]/pos;*/
+               /*printf("\niage=%d s1=%d j1=%d %.5f %.0f %.0f %f",iage,s1,j1,pp[s1]/pos, pp[s1],pos,probs[iage][s1][j1]);*/
+             } else{
+               if((cptcoveff==0 && nj==1)|| nj==2 ) fprintf(ficresp," NaNq %.0f %.0f",prop[s1][iage],pospropta);
+               fprintf(ficresphtm,"<th>%d</th><td>NaNq</td><td>%.0f</td><td>%.0f</td>",iage, prop[s1][iage],pospropta);
+             }
+           }
+           pospropt[s1] +=posprop[s1];
+         } /* end loop s1 */
+         /* pospropt=0.; */
+         for(s1=-1; s1 <=nlstate+ndeath; s1++){
+           for(m=-1; m <=nlstate+ndeath; m++){
+             if(freq[s1][m][iage] !=0 ) { /* minimizing output */
+               if(first==1){
+                 printf(" %d%d=%.0f",s1,m,freq[s1][m][iage]);
+               }
+               /* printf(" %d%d=%.0f",s1,m,freq[s1][m][iage]); */
+               fprintf(ficlog," %d%d=%.0f",s1,m,freq[s1][m][iage]);
+             }
+             if(s1!=0 && m!=0)
+               fprintf(ficresphtmfr,"<td>%.0f</td> ",freq[s1][m][iage]);
+           }
+         } /* end loop s1 */
+         posproptt=0.;
+         for(s1=1; s1 <=nlstate; s1++){
+           posproptt += pospropt[s1];
+         }
+         fprintf(ficresphtmfr,"</tr>\n ");
+         fprintf(ficresphtm,"</tr>\n");
+         if((cptcoveff==0 && nj==1)|| nj==2 ) {
+           if(iage <= iagemax)
+             fprintf(ficresp,"\n");
+         }
+         if(first==1)
+           printf("Others in log...\n");
+         fprintf(ficlog,"\n");
+       } /* end loop age iage */
+       fprintf(ficresphtm,"<tr><th>Tot</th>");
+       for(s1=1; s1 <=nlstate ; s1++){
+         if(posproptt < 1.e-5){
+           fprintf(ficresphtm,"<td>Nanq</td><td>%.0f</td><td>%.0f</td>",pospropt[s1],posproptt);
+         }else{
+           fprintf(ficresphtm,"<td>%.5f</td><td>%.0f</td><td>%.0f</td>",pospropt[s1]/posproptt,pospropt[s1],posproptt);
+         }
        }
-       if(first==1)
+       fprintf(ficresphtm,"</tr>\n");
-                                 printf("Others in log...\n");
+       fprintf(ficresphtm,"</table>\n");
-       fprintf(ficlog,"\n");
+       fprintf(ficresphtmfr,"</table>\n");
-     } /* end loop age iage */
-     fprintf(ficresphtm,"<tr><th>Tot</th>");
-     for(jk=1; jk <=nlstate ; jk++){
        if(posproptt < 1.e-5){
-                                 fprintf(ficresphtm,"<td>Nanq</td><td>%.0f</td><td>%.0f</td>",pospropt[jk],posproptt);
+         fprintf(ficresphtm,"\n <p><b> This combination (%d) is not valid and no result will be produced</b></p>",j1);
+         fprintf(ficresphtmfr,"\n <p><b> This combination (%d) is not valid and no result will be produced</b></p>",j1);
+         fprintf(ficlog,"#  This combination (%d) is not valid and no result will be produced\n",j1);
+         printf("#  This combination (%d) is not valid and no result will be produced\n",j1);
+         invalidvarcomb[j1]=1;
        }else{
-                                 fprintf(ficresphtm,"<td>%.5f</td><td>%.0f</td><td>%.0f</td>",pospropt[jk]/posproptt,pospropt[jk],posproptt);
+         fprintf(ficresphtm,"\n <p> This combination (%d) is valid and result will be produced.</p>",j1);
+         invalidvarcomb[j1]=0;
+       }
+       fprintf(ficresphtmfr,"</table>\n");
+       fprintf(ficlog,"\n");
+       if(j!=0){
+         printf("#Freqsummary: Starting values for combination j1=%d:\n", j1);
+         for(i=1,s1=1; i <=nlstate; i++){
+           for(k=1; k <=(nlstate+ndeath); k++){
+             if (k != i) {
+               for(jj=1; jj <=ncovmodel; jj++){ /* For counting s1 */
+                 if(jj==1){  /* Constant case (in fact cste + age) */
+                   if(j1==1){ /* All dummy covariates to zero */
+                     freq[i][k][iagemax+4]=freq[i][k][iagemax+3]; /* Stores case 0 0 0 */
+                     freq[i][i][iagemax+4]=freq[i][i][iagemax+3]; /* Stores case 0 0 0 */
+                     printf("%d%d ",i,k);
+                     fprintf(ficlog,"%d%d ",i,k);
+                     printf("%12.7f ln(%.0f/%.0f)= %f, OR=%f sd=%f \n",p[s1],freq[i][k][iagemax+3],freq[i][i][iagemax+3], log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3]),freq[i][k][iagemax+3]/freq[i][i][iagemax+3], sqrt(1/freq[i][k][iagemax+3]+1/freq[i][i][iagemax+3]));
+                     fprintf(ficlog,"%12.7f ln(%.0f/%.0f)= %12.7f \n",p[s1],freq[i][k][iagemax+3],freq[i][i][iagemax+3], log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3]));
+                     pstart[s1]= log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3]);
+                   }
+                 }else if((j1==1) && (jj==2 || nagesqr==1)){ /* age or age*age parameter without covariate V4*age (to be done later) */
+                   for(iage=iagemin; iage <= iagemax+3; iage++){
+                     x[iage]= (double)iage;
+                     y[iage]= log(freq[i][k][iage]/freq[i][i][iage]);
+                     /* printf("i=%d, k=%d, s1=%d, j1=%d, jj=%d, y[%d]=%f\n",i,k,s1,j1,jj, iage, y[iage]); */
+                   }
+                   /* Some are not finite, but linreg will ignore these ages */
+                   no=0;
+                   linreg(iagemin,iagemax,&no,x,y,&a,&b,&r, &sa, &sb ); /* y= a+b*x with standard errors */
+                   pstart[s1]=b;
+                   pstart[s1-1]=a;
+                 }else if( j1!=1 && (j1==2 || (log(j1-1.)/log(2.)-(int)(log(j1-1.)/log(2.))) <0.010) && ( TvarsDind[(int)(log(j1-1.)/log(2.))+1]+2+nagesqr == jj)  && Dummy[jj-2-nagesqr]==0){ /* We want only if the position, jj, in model corresponds to unique covariate equal to 1 in j1 combination */
+                   printf("j1=%d, jj=%d, (int)(log(j1-1.)/log(2.))+1=%d, TvarsDind[(int)(log(j1-1.)/log(2.))+1]=%d\n",j1, jj,(int)(log(j1-1.)/log(2.))+1,TvarsDind[(int)(log(j1-1.)/log(2.))+1]);
+                   printf("j1=%d, jj=%d, (log(j1-1.)/log(2.))+1=%f, TvarsDind[(int)(log(j1-1.)/log(2.))+1]=%d\n",j1, jj,(log(j1-1.)/log(2.))+1,TvarsDind[(int)(log(j1-1.)/log(2.))+1]);
+                   pstart[s1]= log((freq[i][k][iagemax+3]/freq[i][i][iagemax+3])/(freq[i][k][iagemax+4]/freq[i][i][iagemax+4]));
+                   printf("%d%d ",i,k);
+                   fprintf(ficlog,"%d%d ",i,k);
+                   printf("s1=%d,i=%d,k=%d,p[%d]=%12.7f ln((%.0f/%.0f)/(%.0f/%.0f))= %f, OR=%f sd=%f \n",s1,i,k,s1,p[s1],freq[i][k][iagemax+3],freq[i][i][iagemax+3],freq[i][k][iagemax+4],freq[i][i][iagemax+4], log((freq[i][k][iagemax+3]/freq[i][i][iagemax+3])/(freq[i][k][iagemax+4]/freq[i][i][iagemax+4])),(freq[i][k][iagemax+3]/freq[i][i][iagemax+3])/(freq[i][k][iagemax+4]/freq[i][i][iagemax+4]), sqrt(1/freq[i][k][iagemax+3]+1/freq[i][i][iagemax+3]+1/freq[i][k][iagemax+4]+1/freq[i][i][iagemax+4]));
+                 }else{ /* Other cases, like quantitative fixed or varying covariates */
+                   ;
+                 }
+                 /* printf("%12.7f )", param[i][jj][k]); */
+                 /* fprintf(ficlog,"%12.7f )", param[i][jj][k]); */
+                 s1++;
+               } /* end jj */
+             } /* end k!= i */
+           } /* end k */
+         } /* end i, s1 */
+       } /* end j !=0 */
+     } /* end selected combination of covariate j1 */
+     if(j==0){ /* We can estimate starting values from the occurences in each case */
+       printf("#Freqsummary: Starting values for the constants:\n");
+       fprintf(ficlog,"\n");
+       for(i=1,s1=1; i <=nlstate; i++){
+         for(k=1; k <=(nlstate+ndeath); k++){
+           if (k != i) {
+             printf("%d%d ",i,k);
+             fprintf(ficlog,"%d%d ",i,k);
+             for(jj=1; jj <=ncovmodel; jj++){
+               pstart[s1]=p[s1]; /* Setting pstart to p values by default */
+               if(jj==1){ /* Age has to be done */
+                 pstart[s1]= log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3]);
+                 printf("%12.7f ln(%.0f/%.0f)= %12.7f ",p[s1],freq[i][k][iagemax+3],freq[i][i][iagemax+3], log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3]));
+                 fprintf(ficlog,"%12.7f ln(%.0f/%.0f)= %12.7f ",p[s1],freq[i][k][iagemax+3],freq[i][i][iagemax+3], log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3]));
+               }
+               /* printf("%12.7f )", param[i][jj][k]); */
+               /* fprintf(ficlog,"%12.7f )", param[i][jj][k]); */
+               s1++;
+             }
+             printf("\n");
+             fprintf(ficlog,"\n");
+           }
+         }
+       } /* end of state i */
+       printf("#Freqsummary\n");
+       fprintf(ficlog,"\n");
+       for(s1=-1; s1 <=nlstate+ndeath; s1++){
+         for(s2=-1; s2 <=nlstate+ndeath; s2++){
+           /* param[i]|j][k]= freq[s1][s2][iagemax+3] */
+           printf(" %d%d=%.0f",s1,s2,freq[s1][s2][iagemax+3]);
+           fprintf(ficlog," %d%d=%.0f",s1,s2,freq[s1][s2][iagemax+3]);
+           /* if(freq[s1][s2][iage] !=0 ) { /\* minimizing output *\/ */
+           /*   printf(" %d%d=%.0f",s1,s2,freq[s1][s2][iagemax+3]); */
+           /*   fprintf(ficlog," %d%d=%.0f",s1,s2,freq[s1][s2][iagemax+3]); */
+           /* } */
+         }
+       } /* end loop s1 */
+       printf("\n");
+       fprintf(ficlog,"\n");
+     } /* end j=0 */
+   } /* end j */
+   if(mle == -2){  /* We want to use these values as starting values */
+     for(i=1, jk=1; i <=nlstate; i++){
+       for(j=1; j <=nlstate+ndeath; j++){
+         if(j!=i){
+           /*ca[0]= k+'a'-1;ca[1]='\0';*/
+           printf("%1d%1d",i,j);
+           fprintf(ficparo,"%1d%1d",i,j);
+           for(k=1; k<=ncovmodel;k++){
+             /*    printf(" %lf",param[i][j][k]); */
+             /*    fprintf(ficparo," %lf",param[i][j][k]); */
+             p[jk]=pstart[jk];
+             printf(" %f ",pstart[jk]);
+             fprintf(ficparo," %f ",pstart[jk]);
+             jk++;
+           }
+           printf("\n");
+           fprintf(ficparo,"\n");
+         }
        }
      }
-     fprintf(ficresphtm,"</tr>\n");
+   } /* end mle=-2 */
-     fprintf(ficresphtm,"</table>\n");
-     fprintf(ficresphtmfr,"</table>\n");
-     if(posproptt < 1.e-5){
-       fprintf(ficresphtm,"\n <p><b> This combination (%d) is not valid and no result will be produced</b></p>",j1);
-       fprintf(ficresphtmfr,"\n <p><b> This combination (%d) is not valid and no result will be produced</b></p>",j1);
-       fprintf(ficres,"\n  This combination (%d) is not valid and no result will be produced\n\n",j1);
-       invalidvarcomb[j1]=1;
-     }else{
-       fprintf(ficresphtm,"\n <p> This combination (%d) is valid and result will be produced.</p>",j1);
-       invalidvarcomb[j1]=0;
-     }
-     fprintf(ficresphtmfr,"</table>\n");
-   } /* end selected combination of covariate j1 */
    dateintmean=dateintsum/k2cpt;
+   date2dmy(dateintmean,&jintmean,&mintmean,&aintmean);
    fclose(ficresp);
    fclose(ficresphtm);
    fclose(ficresphtmfr);
+   free_vector(idq,1,nqfveff);
    free_vector(meanq,1,nqfveff);
+   free_vector(stdq,1,nqfveff);
    free_matrix(meanqt,1,lastpass,1,nqtveff);
-   free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin-AGEMARGE, iagemax+3+AGEMARGE);
+   free_vector(x, iagemin-AGEMARGE, iagemax+4+AGEMARGE);
+   free_vector(y, iagemin-AGEMARGE, iagemax+4+AGEMARGE);
+   free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin-AGEMARGE, iagemax+4+AGEMARGE);
    free_vector(pospropt,1,nlstate);
    free_vector(posprop,1,nlstate);
-   free_matrix(prop,1,nlstate,iagemin-AGEMARGE, iagemax+3+AGEMARGE);
+   free_matrix(prop,1,nlstate,iagemin-AGEMARGE, iagemax+4+AGEMARGE);
    free_vector(pp,1,nlstate);
    /* End of freqsummary */
  }
- /************ Prevalence ********************/
+ /* Simple linear regression */
+ int linreg(int ifi, int ila, int *no, const double x[], const double y[], double* a, double* b, double* r, double* sa, double * sb) {
+   /* y=a+bx regression */
+   double   sumx = 0.0;                        /* sum of x                      */
+   double   sumx2 = 0.0;                       /* sum of x**2                   */
+   double   sumxy = 0.0;                       /* sum of x * y                  */
+   double   sumy = 0.0;                        /* sum of y                      */
+   double   sumy2 = 0.0;                       /* sum of y**2                   */
+   double   sume2 = 0.0;                       /* sum of square or residuals */
+   double yhat;
+   double denom=0;
+   int i;
+   int ne=*no;
+   for ( i=ifi, ne=0;i<=ila;i++) {
+     if(!isfinite(x[i]) || !isfinite(y[i])){
+       /* printf(" x[%d]=%f, y[%d]=%f\n",i,x[i],i,y[i]); */
+       continue;
+     }
+     ne=ne+1;
+     sumx  += x[i];
+     sumx2 += x[i]*x[i];
+     sumxy += x[i] * y[i];
+     sumy  += y[i];
+     sumy2 += y[i]*y[i];
+     denom = (ne * sumx2 - sumx*sumx);
+     /* printf("ne=%d, i=%d,x[%d]=%f, y[%d]=%f sumx=%f, sumx2=%f, sumxy=%f, sumy=%f, sumy2=%f, denom=%f\n",ne,i,i,x[i],i,y[i], sumx, sumx2,sumxy, sumy, sumy2,denom); */
+   }
+   denom = (ne * sumx2 - sumx*sumx);
+   if (denom == 0) {
+     // vertical, slope m is infinity
+     *b = INFINITY;
+     *a = 0;
+     if (r) *r = 0;
+     return 1;
+   }
+   *b = (ne * sumxy  -  sumx * sumy) / denom;
+   *a = (sumy * sumx2  -  sumx * sumxy) / denom;
+   if (r!=NULL) {
+     *r = (sumxy - sumx * sumy / ne) /          /* compute correlation coeff     */
+       sqrt((sumx2 - sumx*sumx/ne) *
+            (sumy2 - sumy*sumy/ne));
+   }
+   *no=ne;
+   for ( i=ifi, ne=0;i<=ila;i++) {
+     if(!isfinite(x[i]) || !isfinite(y[i])){
+       /* printf(" x[%d]=%f, y[%d]=%f\n",i,x[i],i,y[i]); */
+       continue;
+     }
+     ne=ne+1;
+     yhat = y[i] - *a -*b* x[i];
+     sume2  += yhat * yhat ;
+     denom = (ne * sumx2 - sumx*sumx);
+     /* printf("ne=%d, i=%d,x[%d]=%f, y[%d]=%f sumx=%f, sumx2=%f, sumxy=%f, sumy=%f, sumy2=%f, denom=%f\n",ne,i,i,x[i],i,y[i], sumx, sumx2,sumxy, sumy, sumy2,denom); */
+   }
+   *sb = sqrt(sume2/(double)(ne-2)/(sumx2 - sumx * sumx /(double)ne));
+   *sa= *sb * sqrt(sumx2/ne);
+   return 0;
+ }
+ /************ Prevalence ********************/
  void prevalence(double ***probs, double agemin, double agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2, int firstpass, int lastpass)
  {
    /* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people
- Line 4351  void prevalence(double ***probs, double
+ Line 5138  void prevalence(double ***probs, double
    iagemin= (int) agemin;
    iagemax= (int) agemax;
    /*pp=vector(1,nlstate);*/
-   prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+3+AGEMARGE);
+   prop=matrix(1,nlstate,iagemin-AGEMARGE,iagemax+4+AGEMARGE);
    /*  freq=ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,iagemin,iagemax+3);*/
    j1=0;
    /*j=cptcoveff;*/
    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 (i=1; i<=nlstate; i++)
-       for(iage=iagemin-AGEMARGE; iage <= iagemax+3+AGEMARGE; iage++)
+       for(iage=iagemin-AGEMARGE; iage <= iagemax+4+AGEMARGE; iage++)
          prop[i][iage]=0.0;
      printf("Prevalence combination of varying and fixed dummies %d\n",j1);
      /* fprintf(ficlog," V%d=%d ",Tvaraff[j1],nbcode[Tvaraff[j1]][codtabm(k,j1)]); */
- Line 4392  void prevalence(double ***probs, double
+ Line 5179  void prevalence(double ***probs, double
              if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */
                if(agev[m][i]==0) agev[m][i]=iagemax+1;
                if(agev[m][i]==1) agev[m][i]=iagemax+2;
-               if((int)agev[m][i] <iagemin-AGEMARGE || (int)agev[m][i] >iagemax+3+AGEMARGE){
+               if((int)agev[m][i] <iagemin-AGEMARGE || (int)agev[m][i] >iagemax+4+AGEMARGE){
                  printf("Error on individual # %d agev[m][i]=%f <%d-%d or > %d+3+%d  m=%d; either change agemin or agemax or fix data\n",i, agev[m][i],iagemin,AGEMARGE, iagemax,AGEMARGE,m);
                  exit(1);
                }
- Line 4416  void prevalence(double ***probs, double
+ Line 5203  void prevalence(double ***probs, double
            if(posprop>=1.e-5){
              probs[i][jk][j1]= prop[jk][i]/posprop;
            } else{
-             if(first==1){
+             if(!first){
-               first=0;
+               first=1;
-               printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,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]);
+             }else{
+               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 4429  void prevalence(double ***probs, double
+ Line 5218  void prevalence(double ***probs, double
    /*  free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath, iagemin, iagemax+3);*/
    /*free_vector(pp,1,nlstate);*/
-   free_matrix(prop,1,nlstate, iagemin-AGEMARGE,iagemax+3+AGEMARGE);
+   free_matrix(prop,1,nlstate, iagemin-AGEMARGE,iagemax+4+AGEMARGE);
  }  /* End of prevalence */
  /************* Waves Concatenation ***************/
  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).
       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]
-      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;
- Line 4478  void  concatwav(int wav[], int **dh, int
+ Line 5267  void  concatwav(int wav[], int **dh, int
  #else
          if(s[m][i]==-1 && (int) andc[i] == 9999 && (int)anint[m][i] != 9999){
            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 pi. .\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);
+             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;
            }
-           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 pi. .\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);
+           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;
            mli=m;
          }
- Line 4508  void  concatwav(int wav[], int **dh, int
+ Line 5297  void  concatwav(int wav[], int **dh, int
        /* if(mi==0)  never been interviewed correctly before death */
        /* Only death is a correct wave */
        mw[mi][i]=m;
-     }
+     } /* else not in a death state */
  #ifndef DISPATCHINGKNOWNDEATHAFTERLASTWAVE
-     else if ((int) andc[i] != 9999) { /* Status is negative. A death occured after lastpass, we can't take it into account because of potential bias */
+     else if ((int) andc[i] != 9999) {  /* Date of death is known */
-       /* m++; */
-       /* mi++; */
-       /* s[m][i]=nlstate+1;  /\* We are setting the status to the last of non live state *\/ */
-       /* mw[mi][i]=m; */
        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 */
            nbwarn++;
- Line 4527  void  concatwav(int wav[], int **dh, int
+ Line 5312  void  concatwav(int wav[], int **dh, int
          }else{ /* Death occured afer last wave potential bias */
            nberr++;
            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.\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. 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 );
              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.\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. 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 );
          }
-       }else{ /* end date of interview is known */
+       }else{ /* if date of interview is unknown */
          /* death is known but not confirmed by death status at any wave */
          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 );
- Line 4563  void  concatwav(int wav[], int **dh, int
+ Line 5348  void  concatwav(int wav[], int **dh, int
        if (stepm <=0)
          dh[mi][i]=1;
        else{
-         if (s[mw[mi+1][i]][i] > nlstate) { /* A death */
+         if (s[mw[mi+1][i]][i] > nlstate) { /* A death, but what if date is unknown? */
            if (agedc[i] < 2*AGESUP) {
              j= rint(agedc[i]*12-agev[mw[mi][i]][i]*12);
              if(j==0) j=1;  /* Survives at least one month after exam */
- Line 4650  void  concatwav(int wav[], int **dh, int
+ Line 5435  void  concatwav(int wav[], int **dh, int
  /*********** Tricode ****************************/
   void tricode(int *cptcov, int *Tvar, int **nbcode, int imx, int *Ndum)
- {
+  {
-   /**< Uses cptcovn+2*cptcovprod as the number of covariates */
+    /**< Uses cptcovn+2*cptcovprod as the number of covariates */
-   /*      Tvar[i]=atoi(stre);  find 'n' in Vn and stores in Tvar. If model=V2+V1 Tvar[1]=2 and Tvar[2]=1
+    /*     Tvar[i]=atoi(stre);  find 'n' in Vn and stores in Tvar. If model=V2+V1 Tvar[1]=2 and Tvar[2]=1
-    * Boring subroutine which should only output nbcode[Tvar[j]][k]
+     * Boring subroutine which should only output nbcode[Tvar[j]][k]
-    * Tvar[5] in V2+V1+V3*age+V2*V4 is 4 (V4) even it is a time varying or quantitative variable
+     * Tvar[5] in V2+V1+V3*age+V2*V4 is 4 (V4) even it is a time varying or quantitative variable
-    * nbcode[Tvar[5]][1]= nbcode[4][1]=0, nbcode[4][2]=1 (usually);
+     * nbcode[Tvar[5]][1]= nbcode[4][1]=0, nbcode[4][2]=1 (usually);
-   */
+     */
-   int ij=1, k=0, j=0, i=0, maxncov=NCOVMAX;
+    int ij=1, k=0, j=0, i=0, maxncov=NCOVMAX;
-   int modmaxcovj=0; /* Modality max of covariates j */
+    int modmaxcovj=0; /* Modality max of covariates j */
-   int cptcode=0; /* Modality max of covariates j */
+    int cptcode=0; /* Modality max of covariates j */
-   int modmincovj=0; /* Modality min of covariates j */
+    int modmincovj=0; /* Modality min of covariates j */
-   /* cptcoveff=0;  */
+    /* cptcoveff=0;  */
-         /* *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++)
-   /* Loop on covariates without age and products and no quantitative variable */
+      for(j=1; j<=2; j++)
-   /* for (j=1; j<=(cptcovs); j++) { /\* From model V1 + V2*age+ V3 + V3*V4 keeps V1 + V3 = 2 only *\/ */
+        nbcode[k][j]=0; /* Valgrind */
-   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;
+    /* Loop on covariates without age and products and no quantitative variable */
-     if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age product */
+    for (k=1; k<=cptcovt; k++) { /* From model V1 + V2*age + V3 + V3*V4 keeps V1 + V3 = 2 only */
-       switch(Fixed[k]) {
+      for (j=-1; (j < maxncov); j++) Ndum[j]=0;
-       case 0: /* Testing on fixed dummy covariate, simple or product of fixed */
+      if(Dummy[k]==0 && Typevar[k] !=1){ /* Dummy covariate and not age product */
-                                 for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the  modality of this covariate Vj*/
+        switch(Fixed[k]) {
-                                         ij=(int)(covar[Tvar[k]][i]);
+        case 0: /* Testing on fixed dummy covariate, simple or product of fixed */
-                                         /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i
+          for (i=1; i<=imx; i++) { /* Loop on individuals: reads the data file to get the maximum value of the  modality of this covariate Vj*/
-                                          * If product of Vn*Vm, still boolean *:
+            ij=(int)(covar[Tvar[k]][i]);
-                                          * If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables
+            /* ij=0 or 1 or -1. Value of the covariate Tvar[j] for individual i
-                                          * 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0   */
+             * If product of Vn*Vm, still boolean *:
-                                         /* Finds for covariate j, n=Tvar[j] of Vn . ij is the
+             * If it was coded 1, 2, 3, 4 should be splitted into 3 boolean variables
-                                                  modality of the nth covariate of individual i. */
+             * 1 => 0 0 0, 2 => 0 0 1, 3 => 0 1 1, 4=1 0 0   */
-                                         if (ij > modmaxcovj)
+            /* Finds for covariate j, n=Tvar[j] of Vn . ij is the
-                                                 modmaxcovj=ij;
+               modality of the nth covariate of individual i. */
-                                         else if (ij < modmincovj)
+            if (ij > modmaxcovj)
-                                                 modmincovj=ij;
+              modmaxcovj=ij;
-                                         if ((ij < -1) && (ij > NCOVMAX)){
+            else if (ij < modmincovj)
-                                                 printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX );
+              modmincovj=ij;
-                                                 exit(1);
+            if (ij <0 || ij >1 ){
-                                         }else
+              printf("Information, IMaCh doesn't treat covariate with missing values (-1), individual %d will be skipped.\n",i);
-                                                 Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/
+              fprintf(ficlog,"Information, currently IMaCh doesn't treat covariate with missing values (-1), individual %d will be skipped.\n",i);
-                                         /*  If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */
+            }
-                                         /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/
+            if ((ij < -1) || (ij > NCOVMAX)){
-                                         /* getting the maximum value of the modality of the covariate
+              printf( "Error: minimal is less than -1 or maximal is bigger than %d. Exiting. \n", NCOVMAX );
-                                                  (should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and
+              exit(1);
-                                                  female ies 1, then modmaxcovj=1.
+            }else
-                                         */
+              Ndum[ij]++; /*counts and stores the occurence of this modality 0, 1, -1*/
-                                 } /* end for loop on individuals i */
+            /*  If coded 1, 2, 3 , counts the number of 1 Ndum[1], number of 2, Ndum[2], etc */
-                                 printf(" Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", k, Tvar[k], modmincovj, modmaxcovj);
+            /*printf("i=%d ij=%d Ndum[ij]=%d imx=%d",i,ij,Ndum[ij],imx);*/
-                                 fprintf(ficlog," Minimal and maximal values of %d th covariate V%d: min=%d max=%d \n", k, Tvar[k], modmincovj, modmaxcovj);
+            /* getting the maximum value of the modality of the covariate
-                                 cptcode=modmaxcovj;
+               (should be 0 or 1 now) Tvar[j]. If V=sex and male is coded 0 and
-                                 /* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */
+               female ies 1, then modmaxcovj=1.
-                                 /*for (i=0; i<=cptcode; i++) {*/
+            */
-                                 for (j=modmincovj;  j<=modmaxcovj; j++) { /* j=-1 ? 0 and 1*//* For each value j of the modality of model-cov k */
+          } /* end for loop on individuals i */
-                                         printf("Frequencies of covariates %d ie V%d with value %d: %d\n", k, Tvar[k], j, Ndum[j]);
+          printf(" Minimal and maximal values of %d th (fixed) covariate V%d: min=%d max=%d \n", k, Tvar[k], modmincovj, modmaxcovj);
-                                         fprintf(ficlog, "Frequencies of covariates %d ie V%d with value %d: %d\n", k, Tvar[k], j, Ndum[j]);
+          fprintf(ficlog," Minimal and maximal values of %d th (fixed) covariate V%d: min=%d max=%d \n", k, Tvar[k], modmincovj, modmaxcovj);
-                                         if( Ndum[j] != 0 ){ /* Counts if nobody answered modality j ie empty modality, we skip it and reorder */
+          cptcode=modmaxcovj;
-                                                 if( j != -1){
+          /* Ndum[0] = frequency of 0 for model-covariate j, Ndum[1] frequency of 1 etc. */
-                                                         ncodemax[k]++;  /* ncodemax[k]= Number of modalities of the k th
+          /*for (i=0; i<=cptcode; i++) {*/
-                                                                                                                                  covariate for which somebody answered excluding
+          for (j=modmincovj;  j<=modmaxcovj; j++) { /* j=-1 ? 0 and 1*//* For each value j of the modality of model-cov k */
-                                                                                                                                  undefined. Usually 2: 0 and 1. */
+            printf("Frequencies of (fixed) covariate %d ie V%d with value %d: %d\n", k, Tvar[k], j, Ndum[j]);
-                                                 }
+            fprintf(ficlog, "Frequencies of (fixed) covariate %d ie V%d with value %d: %d\n", k, Tvar[k], j, Ndum[j]);
-                                                 ncodemaxwundef[k]++; /* ncodemax[j]= Number of modalities of the k th
+            if( Ndum[j] != 0 ){ /* Counts if nobody answered modality j ie empty modality, we skip it and reorder */
-                                                                                                                                                 covariate for which somebody answered including
+              if( j != -1){
-                                                                                                                                                 undefined. Usually 3: -1, 0 and 1. */
+                ncodemax[k]++;  /* ncodemax[k]= Number of modalities of the k th
-                                         }       /* In fact  ncodemax[k]=2 (dichotom. variables only) but it could be more for
+                                   covariate for which somebody answered excluding
-                                                  * historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */
+                                   undefined. Usually 2: 0 and 1. */
-                                 } /* Ndum[-1] number of undefined modalities */
+              }
+              ncodemaxwundef[k]++; /* ncodemax[j]= Number of modalities of the k th
+                                      covariate for which somebody answered including
+                                      undefined. Usually 3: -1, 0 and 1. */
+            }    /* In fact  ncodemax[k]=2 (dichotom. variables only) but it could be more for
+                  * historical reasons: 3 if coded 1, 2, 3 and 4 and Ndum[2]=0 */
+          } /* Ndum[-1] number of undefined modalities */
-                                 /* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */
+          /* j is a covariate, n=Tvar[j] of Vn; Fills nbcode */
-                                 /* For covariate j, modalities could be 1, 2, 3, 4, 5, 6, 7. */
+          /* For covariate j, modalities could be 1, 2, 3, 4, 5, 6, 7. */
-                                 /* If Ndum[1]=0, Ndum[2]=0, Ndum[3]= 635, Ndum[4]=0, Ndum[5]=0, Ndum[6]=27, Ndum[7]=125; */
+          /* If Ndum[1]=0, Ndum[2]=0, Ndum[3]= 635, Ndum[4]=0, Ndum[5]=0, Ndum[6]=27, Ndum[7]=125; */
-                                 /* modmincovj=3; modmaxcovj = 7; */
+          /* modmincovj=3; modmaxcovj = 7; */
-                                 /* There are only 3 modalities non empty 3, 6, 7 (or 2 if 27 is too few) : ncodemax[j]=3; */
+          /* There are only 3 modalities non empty 3, 6, 7 (or 2 if 27 is too few) : ncodemax[j]=3; */
-                                 /* which will be coded 0, 1, 2 which in binary on 2=3-1 digits are 0=00 1=01, 2=10; */
+          /* which will be coded 0, 1, 2 which in binary on 2=3-1 digits are 0=00 1=01, 2=10; */
-                           /*             defining two dummy variables: variables V1_1 and V1_2.*/
+          /*              defining two dummy variables: variables V1_1 and V1_2.*/
-               /* nbcode[Tvar[j]][ij]=k; */
+          /* nbcode[Tvar[j]][ij]=k; */
-               /* nbcode[Tvar[j]][1]=0; */
+          /* nbcode[Tvar[j]][1]=0; */
-               /* nbcode[Tvar[j]][2]=1; */
+          /* nbcode[Tvar[j]][2]=1; */
-               /* nbcode[Tvar[j]][3]=2; */
+          /* nbcode[Tvar[j]][3]=2; */
-               /* To be continued (not working yet). */
+          /* 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*/
-           if (Ndum[i] == 0) { /* If nobody responded to this modality k */
+          /* 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*/
-                   break;
+          /* 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
-                                         ij++;
+           * nbcode[2][1]=-1, nbcode[2][2]=0 and nbcode[2][3]=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 restored in the future */
-                                         cptcode = ij; /* New max modality for covar j */
+          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*/
-                                 } /* end of loop on modality i=-1 to 1 or more */
+            if (Ndum[i] == 0) { /* If nobody responded to this modality k */
-                                 break;
+              break;
-       case 1: /* Testing on varying covariate, could be simple and
+            }
-                * should look at waves or product of fixed *
+            ij++;
-                * varying. No time to test -1, assuming 0 and 1 only */
+            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*/
-                                 ij=0;
+            cptcode = ij; /* New max modality for covar j */
-                                 for(i=0; i<=1;i++){
+          } /* end of loop on modality i=-1 to 1 or more */
-                                         nbcode[Tvar[k]][++ij]=i;
+          break;
-                                 }
+        case 1: /* Testing on varying covariate, could be simple and
-                                 break;
+                 * should look at waves or product of fixed *
-       default:
+                 * varying. No time to test -1, assuming 0 and 1 only */
-                                 break;
+          ij=0;
-       } /* end switch */
+          for(i=0; i<=1;i++){
-     } /* end dummy test */
+            nbcode[Tvar[k]][++ij]=i;
+          }
-     /*   for (k=0; k<= cptcode; k++) { /\* k=-1 ? k=0 to 1 *\//\* Could be 1 to 4 *\//\* cptcode=modmaxcovj *\/ */
+          break;
-     /*  /\*recode from 0 *\/ */
+        default:
-     /*                               k is a modality. If we have model=V1+V1*sex  */
+          break;
-     /*                               then: nbcode[1][1]=0 ; nbcode[1][2]=1; nbcode[2][1]=0 ; nbcode[2][2]=1; */
+        } /* end switch */
-     /*                            But if some modality were not used, it is recoded from 0 to a newer modmaxcovj=cptcode *\/ */
+      } /* end dummy test */
-     /*  } */
+    } /* 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*/
-     /*  /\* cptcode = ij; *\/ /\* New max modality for covar j *\/ */
-     /*  if (ij > ncodemax[j]) { */
+    for (k=-1; k< maxncov; k++) Ndum[k]=0;
-     /*    printf( " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]);  */
+    /* Look at fixed dummy (single or product) covariates to check empty modalities */
-     /*    fprintf(ficlog, " Error ij=%d > ncodemax[%d]=%d\n", ij, j, ncodemax[j]); */
+    for (i=1; i<=ncovmodel-2-nagesqr; i++) { /* -2, cste and age and eventually age*age */
-     /*    break; */
+      /* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/
-     /*  } */
+      ij=Tvar[i]; /* Tvar 5,4,3,6,5,7,1,4 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V4*age */
-     /*   }  /\* end of loop on modality k *\/ */
+      Ndum[ij]++; /* Count the # of 1, 2 etc: {1,1,1,2,2,1,1} because V1 once, V2 once, two V4 and V5 in above */
-   } /* end of loop on model-covariate j. nbcode[Tvarj][1]=0 and nbcode[Tvarj][2]=1 sets the value of covariate j*/
+      /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1,  {2, 1, 1, 1, 2, 1, 1, 0, 0} */
+    } /* V4+V3+V5, Ndum[1]@5={0, 0, 1, 1, 1} */
-   for (k=-1; k< maxncov; k++) Ndum[k]=0;
-   /* Look at fixed dummy (single or product) covariates to check empty modalities */
+    ij=0;
-   for (i=1; i<=ncovmodel-2-nagesqr; i++) { /* -2, cste and age and eventually age*age */
+    /* for (i=0; i<=  maxncov-1; i++) { /\* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) *\/ */
-     /* Listing of all covariables in statement model to see if some covariates appear twice. For example, V1 appears twice in V1+V1*V2.*/
+    for (k=1; k<=  cptcovt; k++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */
-     ij=Tvar[i]; /* Tvar 5,4,3,6,5,7,1,4 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V4*age */
+      /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/
-     Ndum[ij]++; /* Count the # of 1, 2 etc: {1,1,1,2,2,1,1} because V1 once, V2 once, two V4 and V5 in above */
+      /* if((Ndum[i]!=0) && (i<=ncovcol)){  /\* Tvar[i] <= ncovmodel ? *\/ */
-     /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1,  {2, 1, 1, 1, 2, 1, 1, 0, 0} */
+      if(Ndum[Tvar[k]]!=0 && Dummy[k] == 0 && Typevar[k]==0){  /* Only Dummy and non empty in the model */
-   } /* V4+V3+V5, Ndum[1]@5={0, 0, 1, 1, 1} */
+        /* If product not in single variable we don't print results */
+        /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/
-   ij=0;
+        ++ij;/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, */
-   /* for (i=0; i<=  maxncov-1; i++) { /\* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) *\/ */
+        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*/
-   for (k=1; k<=  cptcovt; k++) { /* modmaxcovj is unknown here. Only Ndum[2(V2),3(age*V3), 5(V3*V2) 6(V1*V4) */
+        Tmodelind[ij]=k; /* Tmodelind: index in model of dummies Tmodelind[1]=2 V4: pos=2; V3: pos=3, V1=9 {2, 3, 9, ?, ?,} */
-     /*printf("Ndum[%d]=%d\n",i, Ndum[i]);*/
+        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 */
-     /* if((Ndum[i]!=0) && (i<=ncovcol)){  /\* Tvar[i] <= ncovmodel ? *\/ */
+        if(Fixed[k]!=0)
-     if(Ndum[Tvar[k]]!=0 && Dummy[k] == 0 && Typevar[k]==0){  /* Only Dummy and non empty in the model */
+          anyvaryingduminmodel=1;
-       /* If product not in single variable we don't print results */
+        /* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv)){ */
-       /*printf("diff Ndum[%d]=%d\n",i, Ndum[i]);*/
+        /*   Tvaraff[++ij]=-10; /\* Dont'n know how to treat quantitative variables yet *\/ */
-       ++ij;/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, */
+        /* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv)){ */
-       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]=i; /\*For printing (unclear) *\/ */
-       Tmodelind[ij]=k; /* Tmodelind: index in model of dummies Tmodelind[1]=2 V4: pos=2; V3: pos=3, V1=9 {2, 3, 9, ?, ?,} */
+        /* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv+nqtv)){ */
-       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 */
+        /*   Tvaraff[++ij]=-20; /\* Dont'n know how to treat quantitative variables yet *\/ */
-       if(Fixed[k]!=0)
+      }
-         anyvaryingduminmodel=1;
+    } /* Tvaraff[1]@5 {3, 4, -20, 0, 0} Very strange */
-                         /* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv)){ */
+    /* ij--; */
-                         /*   Tvaraff[++ij]=-10; /\* Dont'n know how to treat quantitative variables yet *\/ */
+    /* cptcoveff=ij; /\*Number of total covariates*\/ */
-                         /* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv)){ */
+    *cptcov=ij; /*Number of total real effective covariates: effective
-                         /*   Tvaraff[++ij]=i; /\*For printing (unclear) *\/ */
+                 * because they can be excluded from the model and real
-                         /* }else if((Ndum[i]!=0) && (i<=ncovcol+nqv+ntv+nqtv)){ */
+                 * if in the model but excluded because missing values, but how to get k from ij?*/
-                         /*   Tvaraff[++ij]=-20; /\* Dont'n know how to treat quantitative variables yet *\/ */
+    for(j=ij+1; j<= cptcovt; j++){
-     }
+      Tvaraff[j]=0;
-   } /* Tvaraff[1]@5 {3, 4, -20, 0, 0} Very strange */
+      Tmodelind[j]=0;
-   /* ij--; */
+    }
-   /* cptcoveff=ij; /\*Number of total covariates*\/ */
+    for(j=ntveff+1; j<= cptcovt; j++){
-   *cptcov=ij; /*Number of total real effective covariates: effective
+      TmodelInvind[j]=0;
-                                                          * 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?*/
+    /* To be sorted */
-   for(j=ij+1; j<= cptcovt; j++){
+    ;
-     Tvaraff[j]=0;
+  }
-     Tmodelind[j]=0;
-   }
-   for(j=ntveff+1; j<= cptcovt; j++){
-     TmodelInvind[j]=0;
-   }
-   /* To be sorted */
-   ;
- }
  /*********** Health Expectancies ****************/
- void evsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,char strstart[] )
+  void evsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,char strstart[], int nres )
  {
    /* Health expectancies, no variances */
- Line 4831  void evsij(double ***eij, double x[], in
+ Line 5614  void evsij(double ***eij, double x[], in
    double ***p3mat;
    double eip;
-   pstamp(ficreseij);
+   /* pstamp(ficreseij); */
    fprintf(ficreseij,"# (a) Life expectancies by health status at initial age and (b) health expectancies by health status at initial age\n");
    fprintf(ficreseij,"# Age");
    for(i=1; i<=nlstate;i++){
- Line 4862  void evsij(double ***eij, double x[], in
+ Line 5645  void evsij(double ***eij, double x[], in
    /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm.
       nhstepm is the number of hstepm from age to agelim
       nstepm is the number of stepm from age to agelin.
-      Look at hpijx to understand the reason of that which relies in memory size
+      Look at hpijx to understand the reason which relies in memory size consideration
       and note for a fixed period like estepm months */
    /* We decided (b) to get a life expectancy respecting the most precise curvature of the
       survival function given by stepm (the optimization length). Unfortunately it
- Line 4894  void evsij(double ***eij, double x[], in
+ Line 5677  void evsij(double ***eij, double x[], in
      /* Computed by stepm unit matrices, product of hstepma matrices, stored
         in an array of nhstepma length: nhstepma=10, hstepm=4, stepm=6 months */
-     hpxij(p3mat,nhstepma,age,hstepm,x,nlstate,stepm,oldm, savm, cij);
+     hpxij(p3mat,nhstepma,age,hstepm,x,nlstate,stepm,oldm, savm, cij, nres);
      hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
- Line 4929  void evsij(double ***eij, double x[], in
+ Line 5712  void evsij(double ***eij, double x[], in
  }
- void cvevsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,double delti[],double **matcov,char strstart[] )
+  void cvevsij(double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int cij, int estepm,double delti[],double **matcov,char strstart[], int nres )
  {
    /* Covariances of health expectancies eij and of total life expectancies according
- Line 5042  void cvevsij(double ***eij, double x[],
+ Line 5825  void cvevsij(double ***eij, double x[],
          xp[i] = x[i] + (i==theta ?delti[theta]:0);
          xm[i] = x[i] - (i==theta ?delti[theta]:0);
        }
-       hpxij(p3matp,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, cij);
+       hpxij(p3matp,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, cij, nres);
-       hpxij(p3matm,nhstepm,age,hstepm,xm,nlstate,stepm,oldm,savm, cij);
+       hpxij(p3matm,nhstepm,age,hstepm,xm,nlstate,stepm,oldm,savm, cij, nres);
        for(j=1; j<= nlstate; j++){
          for(i=1; i<=nlstate; i++){
- Line 5084  void cvevsij(double ***eij, double x[],
+ Line 5867  void cvevsij(double ***eij, double x[],
      }
      /* Computing expectancies */
-     hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij);
+     hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij,nres);
      for(i=1; i<=nlstate;i++)
        for(j=1; j<=nlstate;j++)
          for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){
- Line 5093  void cvevsij(double ***eij, double x[],
+ Line 5876  void cvevsij(double ***eij, double x[],
            /* if((int)age==70)printf("i=%2d,j=%2d,h=%2d,age=%3d,%9.4f,%9.4f,%9.4f\n",i,j,h,(int)age,p3mat[i][j][h],hf,eij[i][j][(int)age]);*/
          }
+     /* Standard deviation of expectancies ij */
      fprintf(ficresstdeij,"%3.0f",age );
      for(i=1; i<=nlstate;i++){
        eip=0.;
- Line 5108  void cvevsij(double ***eij, double x[],
+ Line 5892  void cvevsij(double ***eij, double x[],
      }
      fprintf(ficresstdeij,"\n");
+     /* Variance of expectancies ij */
      fprintf(ficrescveij,"%3.0f",age );
      for(i=1; i<=nlstate;i++)
        for(j=1; j<=nlstate;j++){
- Line 5139  void cvevsij(double ***eij, double x[],
+ Line 5924  void cvevsij(double ***eij, double x[],
  }
  /************ 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[])
+  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(); */
     double **dnewm,**doldm;
     double **dnewmp,**doldmp;
     int i, j, nhstepm, hstepm, h, nstepm ;
+    int first=0;
     int k;
     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 age,agelim, hf;
     /* double ***mobaverage; */
- Line 5196  void cvevsij(double ***eij, double x[],
+ Line 5983  void cvevsij(double ***eij, double x[],
     fprintf(ficlog,"Computing total mortality p.j=w1*p1j+w2*p2j+..: result on file '%s' \n",fileresprobmorprev);
     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,"# Selected quantitative variables and dummies");
+    for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */
+      fprintf(ficresprobmorprev," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
+    }
+    for(j=1;j<=cptcoveff;j++)
+      fprintf(ficresprobmorprev,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(ij,j)]);
+    fprintf(ficresprobmorprev,"\n");
     fprintf(ficresprobmorprev,"# Age cov=%-d",ij);
     for(j=nlstate+1; j<=(nlstate+ndeath);j++){
       fprintf(ficresprobmorprev," p.%-d SE",j);
- Line 5209  void cvevsij(double ***eij, double x[],
+ Line 6004  void cvevsij(double ***eij, double x[],
     /* 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<br>%s  <br>\n",digitp);
-    /*   } */
     varppt = matrix(nlstate+1,nlstate+ndeath,nlstate+1,nlstate+ndeath);
     pstamp(ficresvij);
     fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n#  (weighted average of eij where weights are ");
- Line 5264  void cvevsij(double ***eij, double x[],
+ Line 6059  void cvevsij(double ***eij, double x[],
         for(i=1; i<=npar; i++){ /* Computes gradient x + delta*/
           xp[i] = x[i] + (i==theta ?delti[theta]:0);
         }
+        /**< Computes the prevalence limit with parameter theta shifted of delta up to ftolpl precision and
-        prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij);
+         * returns into prlim .
+         */
+        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(mobilav ==0){
             for(i=1; i<=nlstate;i++)
- Line 5276  void cvevsij(double ***eij, double x[],
+ Line 6074  void cvevsij(double ***eij, double x[],
               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);  /* 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(h=0; h<=nhstepm; h++){
             for(i=1, gp[h][j]=0.;i<=nlstate;i++)
               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)
-           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(i=1,gpp[j]=0.; i<= nlstate; i++)
             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 */
           xp[i] = x[i] - (i==theta ?delti[theta]:0);
-        prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp, ij);
+        prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp, ij, nres);
         if (popbased==1) {
           if(mobilav ==0){
- Line 5309  void cvevsij(double ***eij, double x[],
+ Line 6112  void cvevsij(double ***eij, double x[],
           }
         }
-        hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij);
+        hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij,nres);
         for(j=1; j<= nlstate; j++){  /* Sum of wi * eij = e.j */
           for(h=0; h<=nhstepm; h++){
- Line 5325  void cvevsij(double ***eij, double x[],
+ Line 6128  void cvevsij(double ***eij, double x[],
           for(i=1,gmp[j]=0.; i<= nlstate; i++)
             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(h=0; h<=nhstepm; h++){
             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];
         }
       } /* End theta */
+      /* We got the gradient matrix for each theta and state j */
       trgradg =ma3x(0,nhstepm,1,nlstate,1,npar); /* veij */
       for(h=0; h<=nhstepm; h++) /* veij */
- Line 5348  void cvevsij(double ***eij, double x[],
+ Line 6155  void cvevsij(double ***eij, double x[],
       for(j=nlstate+1; j<=nlstate+ndeath;j++) /* mu */
         for(theta=1; theta <=npar; theta++)
           trgradgp[j][theta]=gradgp[theta][j];
+      /**< as well as its transposed matrix
+       */
       hf=hstepm*stepm/YEARM;  /* Duration of hstepm expressed in year unit. */
       for(i=1;i<=nlstate;i++)
         for(j=1;j<=nlstate;j++)
           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(k=0;k<=nhstepm;k++){
           matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov);
- Line 5365  void cvevsij(double ***eij, double x[],
+ Line 6178  void cvevsij(double ***eij, double x[],
         }
       }
-      /* 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(doldmp,dnewmp,nlstate+1,nlstate+ndeath,1,npar,nlstate+1,nlstate+ndeath,gradgp);
       for(j=nlstate+1;j<=nlstate+ndeath;j++)
- Line 5374  void cvevsij(double ***eij, double x[],
+ Line 6191  void cvevsij(double ***eij, double x[],
       /* end ppptj */
       /*  x centered again */
-      prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ncvyearp,ij);
+      prevalim(prlim,nlstate,x,age,oldm,savm,ftolpl,ncvyearp,ij, nres);
       if (popbased==1) {
         if(mobilav ==0){
- Line 5390  void cvevsij(double ***eij, double x[],
+ Line 6207  void cvevsij(double ***eij, double x[],
          computed over hstepm (estepm) matrices product = hstepm*stepm months)
          as a weighted average of prlim.
       */
-      hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij);
+      hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm,savm, ij, nres);
       for(j=nlstate+1;j<=nlstate+ndeath;j++){
         for(i=1,gmp[j]=0.;i<= nlstate; i++)
           gmp[j] += prlim[i][i]*p3mat[i][j][1];
- Line 5453  void cvevsij(double ***eij, double x[],
+ Line 6270  void cvevsij(double ***eij, double x[],
   }  /* end varevsij */
  /************ Variance of prevlim ******************/
-  void varprevlim(char fileres[], double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int *ncvyearp, int ij, char strstart[])
+  void varprevlim(char fileresvpl[], FILE *ficresvpl, double **varpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int *ncvyearp, int ij, char strstart[], int nres)
  {
    /* Variance of prevalence limit  for each state ij using current parameters x[] and estimates of neighbourhood give by delti*/
    /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/
-   double **dnewm,**doldm;
+   double **dnewmpar,**doldm;
    int i, j, nhstepm, hstepm;
    double *xp;
    double *gp, *gm;
- Line 5468  void cvevsij(double ***eij, double x[],
+ Line 6285  void cvevsij(double ***eij, double x[],
    int theta;
    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)
+     fprintf(ficresvpl," Result# ");
    for(i=1; i<=nlstate;i++)
        fprintf(ficresvpl," %1d-%1d",i,i);
    fprintf(ficresvpl,"\n");
    xp=vector(1,npar);
-   dnewm=matrix(1,nlstate,1,npar);
+   dnewmpar=matrix(1,nlstate,1,npar);
    doldm=matrix(1,nlstate,1,nlstate);
    hstepm=1*YEARM; /* Every year of age */
- Line 5495  void cvevsij(double ***eij, double x[],
+ Line 6314  void cvevsij(double ***eij, double x[],
        for(i=1; i<=npar; i++){ /* Computes gradient */
          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);
+       /*        prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); */
-       else
+       /* else */
-         prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij);
+       prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres);
        for(i=1;i<=nlstate;i++){
          gp[i] = prlim[i][i];
          mgp[theta][i] = prlim[i][i];
        }
        for(i=1; i<=npar; i++) /* Computes gradient */
          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);
+       /*        prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres); */
-       else
+       /* else */
-         prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij);
+       prevalim(prlim,nlstate,xp,age,oldm,savm,ftolpl,ncvyearp,ij,nres);
        for(i=1;i<=nlstate;i++){
          gm[i] = prlim[i][i];
          mgm[theta][i] = prlim[i][i];
- Line 5545  void cvevsij(double ***eij, double x[],
+ Line 6364  void cvevsij(double ***eij, double x[],
      for(i=1;i<=nlstate;i++)
        varpl[i][(int)age] =0.;
      if((int)age==79 ||(int)age== 80  ||(int)age== 81){
-     matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov);
+     matprod2(dnewmpar,trgradg,1,nlstate,1,npar,1,npar,matcov);
-     matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg);
+     matprod2(doldm,dnewmpar,1,nlstate,1,npar,1,nlstate,gradg);
      }else{
-     matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov);
+     matprod2(dnewmpar,trgradg,1,nlstate,1,npar,1,npar,matcov);
-     matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg);
+     matprod2(doldm,dnewmpar,1,nlstate,1,npar,1,nlstate,gradg);
      }
      for(i=1;i<=nlstate;i++)
        varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */
      fprintf(ficresvpl,"%.0f ",age );
-     for(i=1; i<=nlstate;i++)
+     if(nresult >=1)
+       fprintf(ficresvpl,"%d ",nres );
+     for(i=1; i<=nlstate;i++){
        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");
      free_vector(gp,1,nlstate);
      free_vector(gm,1,nlstate);
- Line 5568  void cvevsij(double ***eij, double x[],
+ Line 6392  void cvevsij(double ***eij, double x[],
    free_vector(xp,1,npar);
    free_matrix(doldm,1,nlstate,1,npar);
-   free_matrix(dnewm,1,nlstate,1,nlstate);
+   free_matrix(dnewmpar,1,nlstate,1,nlstate);
+ }
+ /************ Variance of backprevalence limit ******************/
+  void varbrevlim(char fileresvbl[], FILE  *ficresvbl, double **varbpl, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **bprlim, double ftolpl, int mobilavproj, int *ncvyearp, int ij, char strstart[], int nres)
+ {
+   /* Variance of backward prevalence limit  for each state ij using current parameters x[] and estimates of neighbourhood give by delti*/
+   /*  double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double **savm,double ftolpl);*/
+   double **dnewmpar,**doldm;
+   int i, j, nhstepm, hstepm;
+   double *xp;
+   double *gp, *gm;
+   double **gradg, **trgradg;
+   double **mgm, **mgp;
+   double age,agelim;
+   int theta;
+   pstamp(ficresvbl);
+   fprintf(ficresvbl,"# Standard deviation of back (stable) prevalences \n");
+   fprintf(ficresvbl,"# Age ");
+   if(nresult >=1)
+     fprintf(ficresvbl," Result# ");
+   for(i=1; i<=nlstate;i++)
+       fprintf(ficresvbl," %1d-%1d",i,i);
+   fprintf(ficresvbl,"\n");
+   xp=vector(1,npar);
+   dnewmpar=matrix(1,nlstate,1,npar);
+   doldm=matrix(1,nlstate,1,nlstate);
+   hstepm=1*YEARM; /* Every year of age */
+   hstepm=hstepm/stepm; /* Typically in stepm units, if j= 2 years, = 2/6 months = 4 */
+   agelim = AGEINF;
+   for (age=fage; age>=bage; age --){ /* If stepm=6 months */
+     nhstepm=(int) rint((age-agelim)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */
+     if (stepm >= YEARM) hstepm=1;
+     nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */
+     gradg=matrix(1,npar,1,nlstate);
+     mgp=matrix(1,npar,1,nlstate);
+     mgm=matrix(1,npar,1,nlstate);
+     gp=vector(1,nlstate);
+     gm=vector(1,nlstate);
+     for(theta=1; theta <=npar; theta++){
+       for(i=1; i<=npar; i++){ /* Computes gradient */
+         xp[i] = x[i] + (i==theta ?delti[theta]:0);
+       }
+       if(mobilavproj > 0 )
+         bprevalim(bprlim, mobaverage,nlstate,xp,age,ftolpl,ncvyearp,ij,nres);
+       else
+         bprevalim(bprlim, mobaverage,nlstate,xp,age,ftolpl,ncvyearp,ij,nres);
+       for(i=1;i<=nlstate;i++){
+         gp[i] = bprlim[i][i];
+         mgp[theta][i] = bprlim[i][i];
+       }
+      for(i=1; i<=npar; i++) /* Computes gradient */
+         xp[i] = x[i] - (i==theta ?delti[theta]:0);
+        if(mobilavproj > 0 )
+         bprevalim(bprlim, mobaverage,nlstate,xp,age,ftolpl,ncvyearp,ij,nres);
+        else
+         bprevalim(bprlim, mobaverage,nlstate,xp,age,ftolpl,ncvyearp,ij,nres);
+       for(i=1;i<=nlstate;i++){
+         gm[i] = bprlim[i][i];
+         mgm[theta][i] = bprlim[i][i];
+       }
+       for(i=1;i<=nlstate;i++)
+         gradg[theta][i]= (gp[i]-gm[i])/2./delti[theta];
+       /* gradg[theta][2]= -gradg[theta][1]; */ /* For testing if nlstate=2 */
+     } /* End theta */
+     trgradg =matrix(1,nlstate,1,npar);
+     for(j=1; j<=nlstate;j++)
+       for(theta=1; theta <=npar; theta++)
+         trgradg[j][theta]=gradg[theta][j];
+     /* if((int)age==79 ||(int)age== 80 ||(int)age== 81 ){ */
+     /*   printf("\nmgm mgp %d ",(int)age); */
+     /*   for(j=1; j<=nlstate;j++){ */
+     /*  printf(" %d ",j); */
+     /*  for(theta=1; theta <=npar; theta++) */
+     /*    printf(" %d %lf %lf",theta,mgm[theta][j],mgp[theta][j]); */
+     /*  printf("\n "); */
+     /*   } */
+     /* } */
+     /* if((int)age==79 ||(int)age== 80 ||(int)age== 81 ){ */
+     /*   printf("\n gradg %d ",(int)age); */
+     /*   for(j=1; j<=nlstate;j++){ */
+     /*  printf("%d ",j); */
+     /*  for(theta=1; theta <=npar; theta++) */
+     /*    printf("%d %lf ",theta,gradg[theta][j]); */
+     /*  printf("\n "); */
+     /*   } */
+     /* } */
+     for(i=1;i<=nlstate;i++)
+       varbpl[i][(int)age] =0.;
+     if((int)age==79 ||(int)age== 80  ||(int)age== 81){
+     matprod2(dnewmpar,trgradg,1,nlstate,1,npar,1,npar,matcov);
+     matprod2(doldm,dnewmpar,1,nlstate,1,npar,1,nlstate,gradg);
+     }else{
+     matprod2(dnewmpar,trgradg,1,nlstate,1,npar,1,npar,matcov);
+     matprod2(doldm,dnewmpar,1,nlstate,1,npar,1,nlstate,gradg);
+     }
+     for(i=1;i<=nlstate;i++)
+       varbpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */
+     fprintf(ficresvbl,"%.0f ",age );
+     if(nresult >=1)
+       fprintf(ficresvbl,"%d ",nres );
+     for(i=1; i<=nlstate;i++)
+       fprintf(ficresvbl," %.5f (%.5f)",bprlim[i][i],sqrt(varbpl[i][(int)age]));
+     fprintf(ficresvbl,"\n");
+     free_vector(gp,1,nlstate);
+     free_vector(gm,1,nlstate);
+     free_matrix(mgm,1,npar,1,nlstate);
+     free_matrix(mgp,1,npar,1,nlstate);
+     free_matrix(gradg,1,npar,1,nlstate);
+     free_matrix(trgradg,1,nlstate,1,npar);
+   } /* End age */
+   free_vector(xp,1,npar);
+   free_matrix(doldm,1,nlstate,1,npar);
+   free_matrix(dnewmpar,1,nlstate,1,nlstate);
  }
- Line 5648  void varprob(char optionfilefiname[], do
+ Line 6597  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");
-    fprintf(fichtm,"\n<li><h4> <a href=\"%s\">Matrix of variance-covariance of one-step probabilities (drawings)</a></h4> this page is important in order to visualize confidence intervals and especially correlation between disability and recovery, or more generally, way in and way back.</li>\n",optionfilehtmcov);
+    fprintf(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,"\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.\
- Line 5845  To be simple, these graphs help to under
+ Line 6794  To be simple, these graphs help to under
                   }
                   /* 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=(lc1-v1)/cv12*v11;
                   v12=-v21;
- Line 5865  To be simple, these graphs help to under
+ Line 6819  To be simple, these graphs help to under
                     fprintf(ficgp,"\nset parametric;unset label");
                     fprintf(ficgp,"\nset log y;set log x; set xlabel \"p%1d%1d (year-1)\";set ylabel \"p%1d%1d (year-1)\"",k1,l1,k2,l2);
                     fprintf(ficgp,"\nset ter svg size 640, 480");
-                    fprintf(fichtmcov,"\n<br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\
+                    fprintf(fichtmcov,"\n<p><br>Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year<sup>-1</sup>\
   :<a href=\"%s_%d%1d%1d-%1d%1d.svg\">                                                                                                                                           \
  %s_%d%1d%1d-%1d%1d.svg</A>, ",k1,l1,k2,l2,\
                             subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2,      \
- Line 5876  To be simple, these graphs help to under
+ Line 6830  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,"\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",      \
-                            mu1,std,v11,sqrt(lc1),v12,sqrt(lc2),                                                                         \
+                            mu1,std,v11,sqrt(fabs(lc1)),v12,sqrt(fabs(lc2)), \
-                            mu2,std,v21,sqrt(lc1),v22,sqrt(lc2));
+                            mu2,std,v21,sqrt(fabs(lc1)),v22,sqrt(fabs(lc2))); /* For gnuplot only */
                   }else{
                     first=0;
                     fprintf(fichtmcov," %d (%.3f),",(int) age, c12);
                     fprintf(ficgp,"\n# Age %d, p%1d%1d - p%1d%1d",(int) age, k1,l1,k2,l2);
                     fprintf(ficgp,"\nset label \"%d\" at %11.3e,%11.3e center",(int) age, mu1,mu2);
                     fprintf(ficgp,"\nreplot %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(lc2),                                 \
+                            mu1,std,v11,sqrt(lc1),v12,sqrt(fabs(lc2)),   \
-                            mu2,std,v21,sqrt(lc1),v22,sqrt(lc2));
+                            mu2,std,v21,sqrt(lc1),v22,sqrt(fabs(lc2)));
                   }/* if first */
                 } /* age mod 5 */
               } /* end loop age */
- Line 5913  To be simple, these graphs help to under
+ Line 6867  To be simple, these graphs help to under
  void printinghtml(char fileresu[], char title[], char datafile[], int firstpass, \
                    int lastpass, int stepm, int weightopt, char model[],\
                    int imx,int jmin, int jmax, double jmeanint,char rfileres[],\
-                   int popforecast, int prevfcast, 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 jprev1, double mprev1,double anprev1, double dateprev1, double dateprojd, double dateback1, \
-                   double jprev2, double mprev2,double anprev2, double dateprev2){
+                   double jprev2, double mprev2,double anprev2, double dateprev2, double dateprojf, double dateback2){
-   int jj1, k1, i1, cpt;
+   int jj1, k1, i1, cpt, k4, nres;
     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 \
  </ul>");
+    fprintf(fichtm,"<ul><li> model=1+age+%s\n \
+ </ul>", model);
     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",
             jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTMFR_",".htm"),subdirfext3(optionfilefiname,"PHTMFR_",".htm"));
- Line 5934  void printinghtml(char fileresu[], char
+ Line 6890  void printinghtml(char fileresu[], char
   - Estimated back transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ",
             stepm,subdirf2(fileresu,"PIJB_"),subdirf2(fileresu,"PIJB_"));
     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_"));
     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_"));
     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): \
- Line 5949  void printinghtml(char fileresu[], char
+ Line 6905  void printinghtml(char fileresu[], char
     <a href=\"%s\">%s</a> <br>\n</li>", subdirf2(fileresu,"F_"),subdirf2(fileresu,"F_"));
     }
-    fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");
     m=pow(2,cptcoveff);
     if (cptcovn < 1) {m=1;ncodemax[1]=1;}
+    fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>");
     jj1=0;
-    for(k1=1; k1<=m;k1++){
+    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=\"#rescov");
+        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;
+    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;
       /* for(i1=1; i1<=ncodemax[k1];i1++){ */
       jj1++;
       if (cptcovn > 0) {
+        fprintf(fichtm,"\n<p><a name=\"rescov");
+        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");
         for (cpt=1; cpt<=cptcoveff;cpt++){
-          fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);
+          fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],(int)Tresult[nres][cpt]);
-          printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout);
+          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)]); */
+          /* printf(" V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);fflush(stdout); */
         }
+        for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
+         fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+         printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);fflush(stdout);
+       }
         /* if(nqfveff+nqtveff 0) */ /* Test to be done */
         fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
         if(invalidvarcomb[k1]){
- Line 5974  void printinghtml(char fileresu[], char
+ Line 6986  void printinghtml(char fileresu[], char
         }
       }
       /* aij, bij */
-      fprintf(fichtm,"<br>- Logit model (yours is: 1+age+%s), for example: logit(pij)=log(pij/pii)= aij+ bij age + V1 age + etc. as a function of age: <a href=\"%s_%d-1.svg\">%s_%d-1.svg</a><br> \
+      fprintf(fichtm,"<br>- Logit model (yours is: logit(pij)=log(pij/pii)= aij+ bij age+%s) as a function of age: <a href=\"%s_%d-1-%d.svg\">%s_%d-1-%d.svg</a><br> \
- <img src=\"%s_%d-1.svg\">",model,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1);
+ <img src=\"%s_%d-1-%d.svg\">",model,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres);
       /* Pij */
-      fprintf(fichtm,"<br>\n- P<sub>ij</sub> or conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s_%d-2.svg\">%s_%d-2.svg</a><br> \
+      fprintf(fichtm,"<br>\n- P<sub>ij</sub> or conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s_%d-2-%d.svg\">%s_%d-2-%d.svg</a><br> \
- <img src=\"%s_%d-2.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1);
+ <img src=\"%s_%d-2-%d.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres,subdirf2(optionfilefiname,"PE_"),k1,nres);
       /* Quasi-incidences */
       fprintf(fichtm,"<br>\n- I<sub>ij</sub> or Conditional probabilities to be observed in state j being in state i %d (stepm) months\
   before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too, \
   incidence (rates) are the limit when h tends to zero of the ratio of the probability  <sub>h</sub>P<sub>ij</sub> \
- divided by h: <sub>h</sub>P<sub>ij</sub>/h : <a href=\"%s_%d-3.svg\">%s_%d-3.svg</a><br> \
+ divided by h: <sub>h</sub>P<sub>ij</sub>/h : <a href=\"%s_%d-3-%d.svg\">%s_%d-3-%d.svg</a><br> \
- <img src=\"%s_%d-3.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1);
+ <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 */
       for(cpt=1; cpt<=nlstate;cpt++){
-        fprintf(fichtm,"<br>\n- Survival functions in state %d. Or probability to survive in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \
+        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> \
- <img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1,subdirf2(optionfilefiname,"LIJ_"),cpt,jj1);
+ <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);
       }
       /* State specific survival functions (period) */
       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.svg\">%s%d_%d.svg</a><br> <img src=\"%s_%d-%d.svg\">", cpt, nlstate, cpt, subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1,subdirf2(optionfilefiname,"LIJT_"),cpt,jj1);
+  <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);
       }
-      /* Period (stable) prevalence in each health state */
+      /* Period (forward stable) prevalence in each health state */
       for(cpt=1; cpt<=nlstate;cpt++){
-        fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a><br> \
+        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> \
- <img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1);
+ <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);
       }
-      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++){
-          fprintf(fichtm,"<br>\n- Convergence to period (stable) back prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a><br> \
+          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.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"PB_"),cpt,jj1,subdirf2(optionfilefiname,"PB_"),cpt,jj1,subdirf2(optionfilefiname,"PB_"),cpt,jj1);
+ <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){
-        /* 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++){
+          fprintf(fichtm,"<br>\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), from year %.1f up to year %.1f tending to period (stable) forward prevalence in state %d. Or probability to be in state %d being in an observed weighted state (from 1 to %d). <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \
+ <img src=\"%s_%d-%d-%d.svg\">", dateprev1, dateprev2, mobilavproj, dateprojd, dateprojf, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres);
+        }
+      }
+      if(prevbcast==1){
+       /* Back projection of prevalence up to stable (mixed) back-prevalence in each health state */
         for(cpt=1; cpt<=nlstate;cpt++){
-          fprintf(fichtm,"<br>\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f) up to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \
+          fprintf(fichtm,"<br>\n- Back projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d), \
- <img src=\"%s_%d-%d.svg\">", dateprev1, dateprev2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1);
+  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) \
+ with weights corresponding to observed prevalence at different ages. <a href=\"%s_%d-%d-%d.svg\">%s_%d-%d-%d.svg</a><br> \
+  <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);
         }
       }
       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.svg\">%s_%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> <br> \
- <img src=\"%s_%d%d.svg\">",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1);
+ <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);
       }
       /* } /\* end i1 *\/ */
     }/* End k1 */
- Line 6054  See page 'Matrix of variance-covariance
+ Line 7076  See page 'Matrix of variance-covariance
     <a href=\"%s\">%s</a> <br>\n</li>",
             estepm,subdirf2(fileresu,"STDE_"),subdirf2(fileresu,"STDE_"));
     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_"));
     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",
             estepm, subdirf2(fileresu,"T_"),subdirf2(fileresu,"T_"));
     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_"));
  /*  if(popforecast==1) fprintf(fichtm,"\n */
- Line 6076  See page 'Matrix of variance-covariance
+ Line 7098  See page 'Matrix of variance-covariance
     if (cptcovn < 1) {m=1;ncodemax[1]=1;}
     jj1=0;
+    for(nres=1; nres <= nresult; nres++){ /* For each resultline */
     for(k1=1; k1<=m;k1++){
+      if(m != 1 && TKresult[nres]!= k1)
+        continue;
       /* for(i1=1; i1<=ncodemax[k1];i1++){ */
       jj1++;
       if (cptcovn > 0) {
         fprintf(fichtm,"<hr  size=\"2\" color=\"#EC5E5E\">************ Results for covariates");
         for (cpt=1; cpt<=cptcoveff;cpt++)  /**< cptcoveff number of variables */
-          fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]);
+          fprintf(fichtm," V%d=%d ",Tvresult[nres][cpt],Tresult[nres][cpt]);
+          /* fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtabm(jj1,cpt)]); */
+        for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
+         fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+       }
         fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");
         if(invalidvarcomb[k1]){
- Line 6091  See page 'Matrix of variance-covariance
+ Line 7122  See page 'Matrix of variance-covariance
         }
       }
       for(cpt=1; cpt<=nlstate;cpt++) {
-        fprintf(fichtm,"\n<br>- Observed (cross-sectional) 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.svg\"> %s_%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>\n <br>\
- <img src=\"%s_%d-%d.svg\">",cpt,subdirf2(optionfilefiname,"V_"),cpt,jj1,subdirf2(optionfilefiname,"V_"),cpt,jj1,subdirf2(optionfilefiname,"V_"),cpt,jj1);
+ <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,"\n<br>- Total life expectancy by age and \
  health expectancies in states (1) and (2). If popbased=1 the smooth (due to the model) \
  true period expectancies (those weighted with period prevalences are also\
   drawn in addition to the population based expectancies computed using\
-  observed and cahotic prevalences:  <a href=\"%s_%d.svg\">%s_%d.svg</a>\n<br>\
+  observed and cahotic prevalences:  <a href=\"%s_%d-%d.svg\">%s_%d-%d.svg</a>\n<br>\
- <img src=\"%s_%d.svg\">",subdirf2(optionfilefiname,"E_"),jj1,subdirf2(optionfilefiname,"E_"),jj1,subdirf2(optionfilefiname,"E_"),jj1);
+ <img src=\"%s_%d-%d.svg\">",subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres,subdirf2(optionfilefiname,"E_"),k1,nres);
       /* } /\* end i1 *\/ */
     }/* End k1 */
+   }/* End nres */
     fprintf(fichtm,"</ul>");
     fflush(fichtm);
  }
  /******************* Gnuplot file **************/
- void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , int prevfcast, int backcast, char pathc[], double p[]){
+ 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 gplotcondition[132];
+   char gplotcondition[132], gplotlabel[132];
-   int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0;
+   int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,k4=0,ij=0, ijp=0, l=0;
    int lv=0, vlv=0, kl=0;
    int ng=0;
    int vpopbased;
    int ioffset; /* variable offset for columns */
+   int iyearc=1; /* variable column for year of projection  */
+   int iagec=1; /* variable column for age of projection  */
+   int nres=0; /* Index of resultline */
+   int istart=1; /* For starting graphs in projections */
  /*   if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */
  /*     printf("Problem with file %s",optionfilegnuplot); */
- Line 6128  void printinggnuplot(char fileresu[], ch
+ Line 7164  void printinggnuplot(char fileresu[], ch
    /*#endif */
    m=pow(2,cptcoveff);
+   /* diagram of the model */
+   fprintf(ficgp,"\n#Diagram of the model \n");
+   fprintf(ficgp,"\ndelta=0.03;delta2=0.07;unset arrow;\n");
+   fprintf(ficgp,"yoff=(%d > 2? 0:1);\n",nlstate);
+   fprintf(ficgp,"\n#Peripheral arrows\nset for [i=1:%d] for [j=1:%d] arrow i*10+j from cos(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d))-(i!=j?(i-j)/abs(i-j)*delta:0), yoff +sin(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) rto -0.95*(cos(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d))+(i!=j?(i-j)/abs(i-j)*delta:0) - cos(pi*((1-(%d/2)*2./%d)/2+(j-1)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta2:0)), -0.95*(sin(pi*((1-(%d/2)*2./%d)/2+(i-1)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) - sin(pi*((1-(%d/2)*2./%d)/2+(j-1)*2./%d))+( i!=j?(i-j)/abs(i-j)*delta2:0)) ls (i < j? 1:2)\n",nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate);
+   fprintf(ficgp,"\n#Centripete arrows (turning in other direction (1-i) instead of (i-1)) \nset for [i=1:%d] arrow (%d+1)*10+i from cos(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d))-(i!=j?(i-j)/abs(i-j)*delta:0), yoff +sin(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) rto -0.80*(cos(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d))+(i!=j?(i-j)/abs(i-j)*delta:0)  ), -0.80*(sin(pi*((1-(%d/2)*2./%d)/2+(1-i)*2./%d)) + (i!=j?(i-j)/abs(i-j)*delta:0) + yoff ) ls 4\n",nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate);
+   fprintf(ficgp,"\n#show arrow\nunset label\n");
+   fprintf(ficgp,"\n#States labels, starting from 2 (2-i) instead of (1-i), was (i-1)\nset for [i=1:%d] label i sprintf(\"State %%d\",i) center at cos(pi*((1-(%d/2)*2./%d)/2+(2-i)*2./%d)), yoff+sin(pi*((1-(%d/2)*2./%d)/2+(2-i)*2./%d)) font \"helvetica, 16\" tc rgbcolor \"blue\"\n",nlstate,nlstate,nlstate,nlstate,nlstate,nlstate,nlstate);
+   fprintf(ficgp,"\nset label %d+1 sprintf(\"State %%d\",%d+1) center at 0.,0.  font \"helvetica, 16\" tc rgbcolor \"red\"\n",nlstate,nlstate);
+   fprintf(ficgp,"\n#show label\nunset border;unset xtics; unset ytics;\n");
+   fprintf(ficgp,"\n\nset ter svg size 640, 480;set out \"%s_.svg\" \n",subdirf2(optionfilefiname,"D_"));
+   fprintf(ficgp,"unset log y; plot [-1.2:1.2][yoff-1.2:1.2] 1/0 not; set out;reset;\n");
    /* Contribution to likelihood */
    /* Plot the probability implied in the likelihood */
    fprintf(ficgp,"\n# Contributions to the Likelihood, mle >=1. For mle=4 no interpolation, pure matrix products.\n#\n");
- Line 6160  void printinggnuplot(char fileresu[], ch
+ Line 7210  void printinggnuplot(char fileresu[], ch
    strcpy(dirfileres,optionfilefiname);
    strcpy(optfileres,"vpl");
    /* 1eme*/
-   for (cpt=1; cpt<= nlstate ; cpt ++) { /* For each live state */
+   for (cpt=1; cpt<= nlstate ; cpt ++){ /* For each live state */
-     for (k1=1; k1<= m && selected(k1) ; k1 ++) { /* For each valid combination of covariate */
+     for (k1=1; k1<= m ; k1 ++){ /* For each valid combination of covariate */
-       /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */
+       for(nres=1; nres <= nresult; nres++){ /* For each resultline */
-       fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'VPL_' files ");
+         /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */
-       for (k=1; k<=cptcoveff; k++){    /* For each covariate k get corresponding value lv for combination k1 */
+         if(m != 1 && TKresult[nres]!= k1)
-         lv= decodtabm(k1,k,cptcoveff); /* Should be the value of the covariate corresponding to k1 combination */
+           continue;
-         /* decodtabm(1,1,4) = 1 because h=1  k= (1) 1  1  1 */
+         /* We are interested in selected combination by the resultline */
-         /* decodtabm(1,2,4) = 1 because h=1  k=  1 (1) 1  1 */
+         /* printf("\n# 1st: Period (stable) prevalence with CI: 'VPL_' files and live state =%d ", cpt); */
-         /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
+         fprintf(ficgp,"\n# 1st: Forward (stable period) prevalence with CI: 'VPL_' files  and live state =%d ", cpt);
-         vlv= nbcode[Tvaraff[k]][lv]; /* vlv is the value of the covariate lv, 0 or 1 */
+         strcpy(gplotlabel,"(");
-         /* For each combination of covariate k1 (V1=1, V3=0), we printed the current covariate k and its value vlv */
+         for (k=1; k<=cptcoveff; k++){    /* For each covariate k get corresponding value lv for combination k1 */
-         fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+           lv= decodtabm(k1,k,cptcoveff); /* Should be the value of the covariate corresponding to k1 combination */
-       }
+           /* decodtabm(1,1,4) = 1 because h=1  k= (1) 1  1  1 */
-       fprintf(ficgp,"\n#\n");
+           /* decodtabm(1,2,4) = 1 because h=1  k=  1 (1) 1  1 */
-       if(invalidvarcomb[k1]){
+           /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
-         fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
+           vlv= nbcode[Tvaraff[k]][lv]; /* vlv is the value of the covariate lv, 0 or 1 */
-         continue;
+           /* For each combination of covariate k1 (V1=1, V3=0), we printed the current covariate k and its value vlv */
-       }
+           /* printf(" V%d=%d ",Tvaraff[k],vlv); */
+           fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
-       fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1);
+           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
-       fprintf(ficgp,"\n#set out \"V_%s_%d-%d.svg\" \n",optionfilefiname,cpt,k1);
+         }
-       fprintf(ficgp,"set xlabel \"Age\" \n\
+         for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
- set ylabel \"Probability\" \n   \
+           /* printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]); */
- set ter svg size 640, 480\n     \
+           fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
- plot [%.f:%.f] \"%s\" every :::%d::%d u 1:2 \"%%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1);
+           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+         }
-       for (i=1; i<= nlstate ; i ++) {
+         strcpy(gplotlabel+strlen(gplotlabel),")");
-         if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
+         /* printf("\n#\n"); */
-         else        fprintf(ficgp," %%*lf (%%*lf)");
+         fprintf(ficgp,"\n#\n");
-       }
+         if(invalidvarcomb[k1]){
-       fprintf(ficgp,"\" t\"Period (stable) prevalence\" w l lt 0,\"%s\" every :::%d::%d u 1:($2+1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1);
+           /*k1=k1-1;*/ /* To be checked */
-       for (i=1; i<= nlstate ; i ++) {
+           fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
-         if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
+           continue;
-         else fprintf(ficgp," %%*lf (%%*lf)");
+         }
-       }
-       fprintf(ficgp,"\" t\"95%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2-1.96*$3) \"%%lf",subdirf2(fileresu,"VPL_"),k1-1,k1-1);
+         fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres);
-       for (i=1; i<= nlstate ; i ++) {
+         fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres);
-         if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
+         /* fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); */
-         else fprintf(ficgp," %%*lf (%%*lf)");
+         fprintf(ficgp,"set title \"Alive state %d %s\" font \"Helvetica,12\"\n",cpt,gplotlabel);
-       }
+         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 ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres);
-       fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence\" w l lt 2",subdirf2(fileresu,"P_"),k1-1,k1-1,2+4*(cpt-1));
+         /* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */
-       if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */
+       /* k1-1 error should be nres-1*/
-         /* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */
+         for (i=1; i<= nlstate ; i ++) {
-         fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1 */
+           if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
-         if(cptcoveff ==0){
+           else        fprintf(ficgp," %%*lf (%%*lf)");
-           fprintf(ficgp,"$%d)) t 'Backward prevalence in state %d' with line ",  2+(cpt-1),  cpt );
+         }
+         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 ++) {
+           if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
+           else fprintf(ficgp," %%*lf (%%*lf)");
+         }
+         fprintf(ficgp,"\" t\"95%% CI\" w l lt 1,\"%s\" every :::%d::%d u 1:($2==%d ? $3-1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres);
+         for (i=1; i<= nlstate ; i ++) {
+           if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
+           else fprintf(ficgp," %%*lf (%%*lf)");
+         }
+         /* fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence\" w l lt 2",subdirf2(fileresu,"P_"),k1-1,k1-1,2+4*(cpt-1)); */
+         fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" u 1:((",subdirf2(fileresu,"P_"));
+         if(cptcoveff ==0){
+           fprintf(ficgp,"$%d)) t 'Observed prevalence in state %d' with line lt 3",      2+3*(cpt-1),  cpt );
          }else{
            kl=0;
            for (k=1; k<=cptcoveff; k++){    /* For each combination of covariate  */
- Line 6220  plot [%.f:%.f] \"%s\" every :::%d::%d u
+ Line 7285  plot [%.f:%.f] \"%s\" every :::%d::%d u
              /*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */
              /* ''  u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/
              if(k==cptcoveff){
-               fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \
+               fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Observed prevalence in state %d' w l lt 2",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \
-+(cpt-1),  cpt );  /* 4 or 6 ?*/
++cptcoveff*2+3*(cpt-1),  cpt );  /* 4 or 6 ?*/
              }else{
                fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]);
                kl++;
              }
            } /* end covariate */
          } /* end if no covariate */
-       } /* end if backcast */
-       fprintf(ficgp,"\nset out \n");
+         if(prevbcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */
+           /* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%d) t\"Backward stable prevalence\" w l lt 3",subdirf2(fileresu,"PLB_"),k1-1,k1-1,1+cpt); */
+           fprintf(ficgp,",\"%s\" u 1:((",subdirf2(fileresu,"PLB_")); /* Age is in 1, nres in 2 to be fixed */
+           if(cptcoveff ==0){
+             fprintf(ficgp,"$%d)) t 'Backward prevalence in state %d' with line lt 3",    2+(cpt-1),  cpt );
+           }else{
+             kl=0;
+             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 */
+               /* decodtabm(1,1,4) = 1 because h=1  k= (1) 1  1  1 */
+               /* decodtabm(1,2,4) = 1 because h=1  k=  1 (1) 1  1 */
+               /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
+               vlv= nbcode[Tvaraff[k]][lv];
+               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 *\/ */
+               /*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */
+               /*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */
+               /* ''  u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/
+               if(k==cptcoveff){
+                 fprintf(ficgp,"$%d==%d && $%d==%d)? $%d : 1/0) t 'Backward prevalence in state %d' w l lt 3",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \
++cptcoveff*2+(cpt-1),  cpt );  /* 4 or 6 ?*/
+               }else{
+                 fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]);
+                 kl++;
+               }
+             } /* end covariate */
+           } /* end if no covariate */
+           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);
+             /* k1-1 error should be nres-1*/
+             for (i=1; i<= nlstate ; i ++) {
+               if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
+               else        fprintf(ficgp," %%*lf (%%*lf)");
+             }
+             fprintf(ficgp,"\" t\"Backward (stable) prevalence\" w l lt 6 dt 3,\"%s\" every :::%d::%d u 1:($2==%d ? $3+1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VBL_"),nres-1,nres-1,nres);
+             for (i=1; i<= nlstate ; i ++) {
+               if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
+               else fprintf(ficgp," %%*lf (%%*lf)");
+             }
+             fprintf(ficgp,"\" t\"95%% CI\" w l lt 4,\"%s\" every :::%d::%d u 1:($2==%d ? $3-1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VBL_"),nres-1,nres-1,nres);
+             for (i=1; i<= nlstate ; i ++) {
+               if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
+               else fprintf(ficgp," %%*lf (%%*lf)");
+             }
+             fprintf(ficgp,"\" t\"\" w l lt 4");
+           } /* end if backprojcast */
+         } /* end if prevbcast */
+         /* fprintf(ficgp,"\nset out ;unset label;\n"); */
+         fprintf(ficgp,"\nset out ;unset title;\n");
+       } /* nres */
      } /* k1 */
    } /* cpt */
-   /*2 eme*/
-   for (k1=1; k1<= m ; k1 ++) {
-     fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files ");
-     for (k=1; k<=cptcoveff; k++){    /* For each covariate and each value */
+   /*2 eme*/
-       lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */
+   for (k1=1; k1<= m ; k1 ++){
-       /* decodtabm(1,1,4) = 1 because h=1  k= (1) 1  1  1 */
+     for(nres=1; nres <= nresult; nres++){ /* For each resultline */
-       /* decodtabm(1,2,4) = 1 because h=1  k=  1 (1) 1  1 */
+       if(m != 1 && TKresult[nres]!= k1)
-       /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
+         continue;
-       vlv= nbcode[Tvaraff[k]][lv];
+       fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files ");
-       fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+       strcpy(gplotlabel,"(");
-     }
-     fprintf(ficgp,"\n#\n");
-     if(invalidvarcomb[k1]){
-       fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
-       continue;
-     }
-     fprintf(ficgp,"\nset out \"%s_%d.svg\" \n",subdirf2(optionfilefiname,"E_"),k1);
-     for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/
-       if(vpopbased==0)
-         fprintf(ficgp,"set ylabel \"Years\" \nset ter svg size 640, 480\nplot [%.f:%.f] ",ageminpar,fage);
-       else
-         fprintf(ficgp,"\nreplot ");
-       for (i=1; i<= nlstate+1 ; i ++) {
-         k=2*i;
-         fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ?$4 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1, vpopbased);
-         for (j=1; j<= nlstate+1 ; j ++) {
-           if (j==i) fprintf(ficgp," %%lf (%%lf)");
-           else fprintf(ficgp," %%*lf (%%*lf)");
-         }
-         if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l lt %d, \\\n",i);
-         else fprintf(ficgp,"\" t\"LE in state (%d)\" w l lt %d, \\\n",i-1,i+1);
-         fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4-$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased);
-         for (j=1; j<= nlstate+1 ; j ++) {
-           if (j==i) fprintf(ficgp," %%lf (%%lf)");
-           else fprintf(ficgp," %%*lf (%%*lf)");
-         }
-         fprintf(ficgp,"\" t\"\" w l lt 0,");
-         fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4+$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),k1-1,k1-1,vpopbased);
-         for (j=1; j<= nlstate+1 ; j ++) {
-           if (j==i) fprintf(ficgp," %%lf (%%lf)");
-           else fprintf(ficgp," %%*lf (%%*lf)");
-         }
-         if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0");
-         else fprintf(ficgp,"\" t\"\" w l lt 0,\\\n");
-       } /* state */
-     } /* vpopbased */
-     fprintf(ficgp,"\nset out;set out \"%s_%d.svg\"; replot; set out; \n",subdirf2(optionfilefiname,"E_"),k1); /* Buggy gnuplot */
-   } /* k1 */
-   /*3eme*/
-   for (k1=1; k1<= m ; k1 ++) {
-     for (cpt=1; cpt<= nlstate ; cpt ++) {
-       fprintf(ficgp,"\n# 3d: Life expectancy with EXP_ files:  cov=%d state=%d",k1, cpt);
        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 */
          /* decodtabm(1,1,4) = 1 because h=1  k= (1) 1  1  1 */
- Line 6296  plot [%.f:%.f] \"%s\" every :::%d::%d u
+ Line 7362  plot [%.f:%.f] \"%s\" every :::%d::%d u
          /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
          vlv= nbcode[Tvaraff[k]][lv];
          fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+         sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
+       }
+       /* for(k=1; k <= ncovds; k++){ */
+       for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
+         printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+         fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+         sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
        }
+       strcpy(gplotlabel+strlen(gplotlabel),")");
        fprintf(ficgp,"\n#\n");
        if(invalidvarcomb[k1]){
          fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
          continue;
        }
-       /*       k=2+nlstate*(2*cpt-2); */
+       fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"E_"),k1,nres);
-       k=2+(nlstate+1)*(cpt-1);
+       for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/
-       fprintf(ficgp,"\nset out \"%s_%d%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1);
+         fprintf(ficgp,"\nset label \"popbased %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",vpopbased,gplotlabel);
-       fprintf(ficgp,"set ter svg size 640, 480\n\
+         if(vpopbased==0){
- plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),k1-1,k1-1,k,cpt);
+           fprintf(ficgp,"set ylabel \"Years\" \nset ter svg size 640, 480\nplot [%.f:%.f] ",ageminpar,fage);
-       /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
+         }else
-         for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
+           fprintf(ficgp,"\nreplot ");
-         fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
+         for (i=1; i<= nlstate+1 ; i ++) {
-         fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d+2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
+           k=2*i;
-         for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
+           fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ?$4 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),nres-1,nres-1, vpopbased);
-         fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
+           for (j=1; j<= nlstate+1 ; j ++) {
+             if (j==i) fprintf(ficgp," %%lf (%%lf)");
+             else fprintf(ficgp," %%*lf (%%*lf)");
+           }
+           if (i== 1) fprintf(ficgp,"\" t\"TLE\" w l lt %d, \\\n",i);
+           else fprintf(ficgp,"\" t\"LE in state (%d)\" w l lt %d, \\\n",i-1,i+1);
+           fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4-$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),nres-1,nres-1,vpopbased);
+           for (j=1; j<= nlstate+1 ; j ++) {
+             if (j==i) fprintf(ficgp," %%lf (%%lf)");
+             else fprintf(ficgp," %%*lf (%%*lf)");
+           }
+           fprintf(ficgp,"\" t\"\" w l lt 0,");
+           fprintf(ficgp,"\"%s\" every :::%d::%d u 1:($2==%d && $4!=0 ? $4+$5*2 : 1/0) \"%%lf %%lf %%lf",subdirf2(fileresu,"T_"),nres-1,nres-1,vpopbased);
+           for (j=1; j<= nlstate+1 ; j ++) {
+             if (j==i) fprintf(ficgp," %%lf (%%lf)");
+             else fprintf(ficgp," %%*lf (%%*lf)");
+           }
+           if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l lt 0");
+           else fprintf(ficgp,"\" t\"\" w l lt 0,\\\n");
+         } /* state */
+       } /* vpopbased */
+       fprintf(ficgp,"\nset out;set out \"%s_%d-%d.svg\"; replot; set out; unset label;\n",subdirf2(optionfilefiname,"E_"),k1,nres); /* Buggy gnuplot */
+     } /* end nres */
+   } /* k1 end 2 eme*/
+   /*3eme*/
+   for (k1=1; k1<= m ; k1 ++){
+     for(nres=1; nres <= nresult; nres++){ /* For each resultline */
+       if(m != 1 && TKresult[nres]!= k1)
+         continue;
+       for (cpt=1; cpt<= nlstate ; cpt ++) {
+         fprintf(ficgp,"\n\n# 3d: Life expectancy with EXP_ files:  combination=%d state=%d",k1, cpt);
+         strcpy(gplotlabel,"(");
+         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 */
+           /* decodtabm(1,1,4) = 1 because h=1  k= (1) 1  1  1 */
+           /* decodtabm(1,2,4) = 1 because h=1  k=  1 (1) 1  1 */
+           /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
+           vlv= nbcode[Tvaraff[k]][lv];
+           fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
+         }
+         for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
+           fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+         }
+         strcpy(gplotlabel+strlen(gplotlabel),")");
+         fprintf(ficgp,"\n#\n");
+         if(invalidvarcomb[k1]){
+           fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
+           continue;
+         }
+         /*       k=2+nlstate*(2*cpt-2); */
+         k=2+(nlstate+1)*(cpt-1);
+         fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1,nres);
+         fprintf(ficgp,"set label \"%s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",gplotlabel);
+         fprintf(ficgp,"set ter svg size 640, 480\n\
+ plot [%.f:%.f] \"%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,subdirf2(fileresu,"E_"),nres-1,nres-1,k,cpt);
+         /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
+           for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
+           fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
+           fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d+2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1);
+           for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) ");
+           fprintf(ficgp,"\" t \"e%d1\" w l",cpt);
-       */
+         */
-       for (i=1; i< nlstate ; i ++) {
+         for (i=1; i< nlstate ; i ++) {
-         fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+i,cpt,i+1);
+           fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileresu,"E_"),nres-1,nres-1,k+i,cpt,i+1);
-         /*      fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2*i,cpt,i+1);*/
+           /*    fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",subdirf2(fileres,"e"),k1-1,k1-1,k+2*i,cpt,i+1);*/
-       }
+         }
-       fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileresu,"E_"),k1-1,k1-1,k+nlstate,cpt);
+         fprintf(ficgp," ,\"%s\" every :::%d::%d u 1:%d t \"e%d.\" w l",subdirf2(fileresu,"E_"),nres-1,nres-1,k+nlstate,cpt);
-     }
+       }
-   }
+       fprintf(ficgp,"\nunset label;\n");
+     } /* end nres */
+   } /* end kl 3eme */
    /* 4eme */
    /* Survival functions (period) from state i in state j by initial state i */
-   for (k1=1; k1<= m ; k1 ++) { /* For each multivariate if any */
+   for (k1=1; k1<=m; k1++){    /* For each covariate and each value */
+     for(nres=1; nres <= nresult; nres++){ /* For each resultline */
-     for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
+       if(m != 1 && TKresult[nres]!= k1)
-       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 */
-         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(1,2,4) = 1 because h=1  k=  1 (1) 1  1 */
-         /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
-         vlv= nbcode[Tvaraff[k]][lv];
-         fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
-       }
-       fprintf(ficgp,"\n#\n");
-       if(invalidvarcomb[k1]){
-         fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
          continue;
-       }
+       for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state cpt*/
+         strcpy(gplotlabel,"(");
-       fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),cpt,k1);
+         fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'LIJ_' files, cov=%d state=%d",k1, cpt);
-       fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\
+         for (k=1; k<=cptcoveff; k++){    /* For each covariate and each value */
- set ter svg size 640, 480\n                                                                                                                                                                                     \
+           lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */
- unset log y\n                                                                                                                                                                                                                                           \
+           /* decodtabm(1,1,4) = 1 because h=1  k= (1) 1  1  1 */
- plot [%.f:%.f]  ", ageminpar, agemaxpar);
+           /* decodtabm(1,2,4) = 1 because h=1  k=  1 (1) 1  1 */
-       k=3;
+           /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
-       for (i=1; i<= nlstate ; i ++){
+           vlv= nbcode[Tvaraff[k]][lv];
-         if(i==1){
+           fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
-           fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_"));
+           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
-         }else{
-           fprintf(ficgp,", '' ");
          }
-         l=(nlstate+ndeath)*(i-1)+1;
+         for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
-         fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l);
+           fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
-         for (j=2; j<= nlstate+ndeath ; j ++)
+           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
-           fprintf(ficgp,"+$%d",k+l+j-1);
+         }
-         fprintf(ficgp,")) t \"l(%d,%d)\" w l",i,cpt);
+         strcpy(gplotlabel+strlen(gplotlabel),")");
-       } /* nlstate */
+         fprintf(ficgp,"\n#\n");
-       fprintf(ficgp,"\nset out\n");
+         if(invalidvarcomb[k1]){
-     } /* end cpt state*/
+           fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
-   } /* end covariate */
+           continue;
+         }
+         fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),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 xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\
+ set ter svg size 640, 480\nunset log y\nplot [%.f:%.f]  ", ageminpar, agemaxpar);
+         k=3;
+         for (i=1; i<= nlstate ; i ++){
+           if(i==1){
+             fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_"));
+           }else{
+             fprintf(ficgp,", '' ");
+           }
+           l=(nlstate+ndeath)*(i-1)+1;
+           fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l);
+           for (j=2; j<= nlstate+ndeath ; j ++)
+             fprintf(ficgp,"+$%d",k+l+j-1);
+           fprintf(ficgp,")) t \"l(%d,%d)\" w l",i,cpt);
+         } /* nlstate */
+         fprintf(ficgp,"\nset out; unset label;\n");
+       } /* end cpt state*/
+     } /* end nres */
+   } /* end covariate k1 */
  /* 5eme */
    /* Survival functions (period) from state i in state j by final state j */
-   for (k1=1; k1<= m ; k1 ++) { /* For each covariate if any */
+   for (k1=1; k1<= m ; k1++){ /* For each covariate combination if any */
-     for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state  */
+     for(nres=1; nres <= nresult; nres++){ /* For each resultline */
+       if(m != 1 && TKresult[nres]!= k1)
-       fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt);
-       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 */
-         /* decodtabm(1,1,4) = 1 because h=1  k= (1) 1  1  1 */
-         /* decodtabm(1,2,4) = 1 because h=1  k=  1 (1) 1  1 */
-         /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
-         vlv= nbcode[Tvaraff[k]][lv];
-         fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
-       }
-       fprintf(ficgp,"\n#\n");
-       if(invalidvarcomb[k1]){
-         fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
          continue;
-       }
+       for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state  */
+         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);
+         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 */
+           /* decodtabm(1,1,4) = 1 because h=1  k= (1) 1  1  1 */
+           /* decodtabm(1,2,4) = 1 because h=1  k=  1 (1) 1  1 */
+           /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
+           vlv= nbcode[Tvaraff[k]][lv];
+           fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
+         }
+         for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
+           fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+         }
+         strcpy(gplotlabel+strlen(gplotlabel),")");
+         fprintf(ficgp,"\n#\n");
+         if(invalidvarcomb[k1]){
+           fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
+           continue;
+         }
-       fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1);
+         fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1,nres);
-       fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\
+         fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel);
- set ter svg size 640, 480\n                                             \
+         fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\
- unset log y\n                                                           \
+ set ter svg size 640, 480\nunset log y\nplot [%.f:%.f]  ", ageminpar, agemaxpar);
- plot [%.f:%.f]  ", ageminpar, agemaxpar);
+         k=3;
-       k=3;
+         for (j=1; j<= nlstate ; j ++){ /* Lived in state j */
-       for (j=1; j<= nlstate ; j ++){ /* Lived in state j */
+           if(j==1)
-         if(j==1)
+             fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_"));
-           fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_"));
+           else
-         else
+             fprintf(ficgp,", '' ");
-           fprintf(ficgp,", '' ");
+           l=(nlstate+ndeath)*(cpt-1) +j;
-         l=(nlstate+ndeath)*(cpt-1) +j;
+           fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):($%d",k1,k+l);
-         fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):($%d",k1,k+l);
+           /* for (i=2; i<= nlstate+ndeath ; i ++) */
-         /* for (i=2; i<= nlstate+ndeath ; i ++) */
+           /*   fprintf(ficgp,"+$%d",k+l+i-1); */
-         /*   fprintf(ficgp,"+$%d",k+l+i-1); */
+           fprintf(ficgp,") t \"l(%d,%d)\" w l",cpt,j);
-         fprintf(ficgp,") t \"l(%d,%d)\" w l",cpt,j);
+         } /* nlstate */
-       } /* nlstate */
+         fprintf(ficgp,", '' ");
-       fprintf(ficgp,", '' ");
+         fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):(",k1);
-       fprintf(ficgp," u (($1==%d && (floor($2)%%5 == 0)) ? ($3):1/0):(",k1);
+         for (j=1; j<= nlstate ; j ++){ /* Lived in state j */
-       for (j=1; j<= nlstate ; j ++){ /* Lived in state j */
+           l=(nlstate+ndeath)*(cpt-1) +j;
-         l=(nlstate+ndeath)*(cpt-1) +j;
+           if(j < nlstate)
-         if(j < nlstate)
+             fprintf(ficgp,"$%d +",k+l);
-           fprintf(ficgp,"$%d +",k+l);
+           else
-         else
+             fprintf(ficgp,"$%d) t\"l(%d,.)\" w l",k+l,cpt);
-           fprintf(ficgp,"$%d) t\"l(%d,.)\" w l",k+l,cpt);
+         }
-       }
+         fprintf(ficgp,"\nset out; unset label;\n");
-       fprintf(ficgp,"\nset out\n");
+       } /* end cpt state*/
-     } /* end cpt state*/
+     } /* end covariate */
-   } /* end covariate */
+   } /* end nres */
  /* 6eme */
    /* CV preval stable (period) for each covariate */
-   for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */
+   for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */
-     for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
+   for(nres=1; nres <= nresult; nres++){ /* For each resultline */
+     if(m != 1 && TKresult[nres]!= k1)
-       fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt);
+       continue;
+     for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state of arrival */
+       strcpy(gplotlabel,"(");
+       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 */
          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 */
- Line 6430  plot [%.f:%.f]  ", ageminpar, agemaxpar)
+ Line 7593  plot [%.f:%.f]  ", ageminpar, agemaxpar)
          /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
          vlv= nbcode[Tvaraff[k]][lv];
          fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+         sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
        }
+       for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
+         fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+         sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+       }
+       strcpy(gplotlabel+strlen(gplotlabel),")");
        fprintf(ficgp,"\n#\n");
        if(invalidvarcomb[k1]){
          fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
          continue;
        }
-       fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),cpt,k1);
+       fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),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 xlabel \"Age\" \nset ylabel \"Probability\" \n\
- set ter svg size 640, 480\n                                             \
+ set ter svg size 640, 480\nunset log y\nplot [%.f:%.f]  ", ageminpar, agemaxpar);
- unset log y\n                                                           \
- plot [%.f:%.f]  ", ageminpar, agemaxpar);
        k=3; /* Offset */
-       for (i=1; i<= nlstate ; i ++){
+       for (i=1; i<= nlstate ; i ++){ /* State of origin */
          if(i==1)
            fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_"));
          else
            fprintf(ficgp,", '' ");
-         l=(nlstate+ndeath)*(i-1)+1;
+         l=(nlstate+ndeath)*(i-1)+1; /* 1, 1+ nlstate+ndeath, 1+2*(nlstate+ndeath) */
          fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l);
          for (j=2; j<= nlstate ; j ++)
            fprintf(ficgp,"+$%d",k+l+j-1);
          fprintf(ficgp,")) t \"prev(%d,%d)\" w l",i,cpt);
        } /* nlstate */
-       fprintf(ficgp,"\nset out\n");
+       fprintf(ficgp,"\nset out; unset label;\n");
      } /* end cpt state*/
    } /* end covariate */
  /* 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 (1 to m=2**k), if any covariate is present */
+     for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */
-       for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
+     for(nres=1; nres <= nresult; nres++){ /* For each resultline */
-         fprintf(ficgp,"\n#\n#\n#CV Back preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt);
+       if(m != 1 && TKresult[nres]!= k1)
+         continue;
+       for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life origin state */
+         strcpy(gplotlabel,"(");
+         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 */
            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 */
- Line 6472  plot [%.f:%.f]  ", ageminpar, agemaxpar)
+ Line 7644  plot [%.f:%.f]  ", ageminpar, agemaxpar)
            /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
            vlv= nbcode[Tvaraff[k]][lv];
            fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
          }
+         for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
+           fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+         }
+         strcpy(gplotlabel+strlen(gplotlabel),")");
          fprintf(ficgp,"\n#\n");
          if(invalidvarcomb[k1]){
            fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
            continue;
          }
-         fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PB_"),cpt,k1);
+         fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"PB_"),cpt,k1,nres);
+         fprintf(ficgp,"set label \"Origin alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel);
          fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\
- set ter svg size 640, 480\n                                             \
+ set ter svg size 640, 480\nunset log y\nplot [%.f:%.f]  ", ageminpar, agemaxpar);
- unset log y\n                                                           \
- plot [%.f:%.f]  ", ageminpar, agemaxpar);
          k=3; /* Offset */
-         for (i=1; i<= nlstate ; i ++){
+         for (i=1; i<= nlstate ; i ++){ /* State of arrival */
            if(i==1)
              fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJB_"));
            else
              fprintf(ficgp,", '' ");
            /* l=(nlstate+ndeath)*(i-1)+1; */
-           l=(nlstate+ndeath)*(cpt-1)+1;
+           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+(cpt-1)+i-1); /\* a vérifier *\/ */
-           fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,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 */
            /* for (j=2; j<= nlstate ; j ++) */
            /*    fprintf(ficgp,"+$%d",k+l+j-1); */
            /*    /\* fprintf(ficgp,"+$%d",k+l+j-1); *\/ */
-           fprintf(ficgp,") t \"bprev(%d,%d)\" w l",i,cpt);
+           fprintf(ficgp,") t \"bprev(%d,%d)\" w l",cpt,i);
          } /* nlstate */
-         fprintf(ficgp,"\nset out\n");
+         fprintf(ficgp,"\nset out; unset label;\n");
        } /* end cpt state*/
      } /* end covariate */
-   } /* End if backcast */
+   } /* End if prevbcast */
    /* 8eme */
    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 (1 to m=2**k), if any covariate is present */
+     for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */
+     for(nres=1; nres <= nresult; nres++){ /* For each resultline */
+       if(m != 1 && TKresult[nres]!= k1)
+         continue;
        for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
-         fprintf(ficgp,"\n#\n#\n#Projection of prevalence to stable (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt);
+         strcpy(gplotlabel,"(");
+         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  */
            lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */
            /* decodtabm(1,1,4) = 1 because h=1  k= (1) 1  1  1 */
- Line 6519  plot [%.f:%.f]  ", ageminpar, agemaxpar)
+ Line 7700  plot [%.f:%.f]  ", ageminpar, agemaxpar)
            /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
            vlv= nbcode[Tvaraff[k]][lv];
            fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
          }
+         for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
+           fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+         }
+         strcpy(gplotlabel+strlen(gplotlabel),")");
          fprintf(ficgp,"\n#\n");
          if(invalidvarcomb[k1]){
            fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
- Line 6527  plot [%.f:%.f]  ", ageminpar, agemaxpar)
+ Line 7714  plot [%.f:%.f]  ", ageminpar, agemaxpar)
          }
          fprintf(ficgp,"# hpijx=probability over h years, hp.jx is weighted by observed prev\n ");
-         fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),cpt,k1);
+         fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),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 xlabel \"Age\" \nset ylabel \"Prevalence\" \n\
- set ter svg size 640, 480\n                                             \
+ set ter svg size 640, 480\nunset log y\nplot [%.f:%.f]  ", ageminpar, agemaxpar);
- unset log y\n                                                           \
- plot [%.f:%.f]  ", ageminpar, agemaxpar);
+         /* for (i=1; i<= nlstate+1 ; i ++){  /\* nlstate +1 p11 p21 p.1 *\/ */
-         for (i=1; i<= nlstate+1 ; i ++){  /* nlstate +1 p11 p21 p.1 */
+         istart=nlstate+1; /* Could be one if by state, but nlstate+1 is w.i projection only */
+         /*istart=1;*/ /* Could be one if by state, but nlstate+1 is w.i projection only */
+         for (i=istart; i<= nlstate+1 ; i ++){  /* nlstate +1 p11 p21 p.1 */
            /*#  V1  = 1  V2 =  0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/
            /*#   1    2   3    4    5      6  7   8   9   10   11 12  13   14  15 */
            /*# yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/
            /*#   1       2   3    4    5      6  7   8   9   10   11 12  13   14  15 */
-           if(i==1){
+           if(i==istart){
              fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"F_"));
            }else{
              fprintf(ficgp,",\\\n '' ");
- Line 6549  plot [%.f:%.f]  ", ageminpar, agemaxpar)
+ Line 7739  plot [%.f:%.f]  ", ageminpar, agemaxpar)
              /*# V1  = 1 yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/
              /*#  1    2        3   4   5  6    7  8   9   10  11  12  13  14  15  16  17  18 */
              fprintf(ficgp," u %d:(", ioffset);
-             if(i==nlstate+1)
+             if(i==nlstate+1){
-               fprintf(ficgp," $%d/(1.-$%d)) t 'pw.%d' with line ",      \
+               fprintf(ficgp," $%d/(1.-$%d)):1 t 'pw.%d' with line lc variable ",        \
                        ioffset+(cpt-1)*(nlstate+1)+1+(i-1),  ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt );
-             else
+               fprintf(ficgp,",\\\n '' ");
+               fprintf(ficgp," u %d:(",ioffset);
+               fprintf(ficgp," (($1-$2) == %d ) ? $%d/(1.-$%d) : 1/0):1 with labels center not ", \
+                      offyear,                           \
+                       ioffset+(cpt-1)*(nlstate+1)+1+(i-1),  ioffset+1+(i-1)+(nlstate+1)*nlstate );
+             }else
                fprintf(ficgp," $%d/(1.-$%d)) t 'p%d%d' with line ",      \
                        ioffset+(cpt-1)*(nlstate+1)+1+(i-1),  ioffset+1+(i-1)+(nlstate+1)*nlstate,i,cpt );
            }else{ /* more than 2 covariates */
-             if(cptcoveff ==1){
+             ioffset=2*cptcoveff+2; /* Age is in 4 or 6 or etc.*/
-               ioffset=4; /* Age is in 4 */
+             /*#  V1  = 1  V2 =  0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/
-             }else{
+             /*#   1    2   3    4    5      6  7   8   9   10   11 12  13   14  15 */
-               ioffset=6; /* Age is in 6 */
+             iyearc=ioffset-1;
-               /*#  V1  = 1  V2 =  0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/
+             iagec=ioffset;
-               /*#   1    2   3    4    5      6  7   8   9   10   11 12  13   14  15 */
-             }
              fprintf(ficgp," u %d:(",ioffset);
              kl=0;
              strcpy(gplotcondition,"(");
- Line 6584  plot [%.f:%.f]  ", ageminpar, agemaxpar)
+ Line 7777  plot [%.f:%.f]  ", ageminpar, agemaxpar)
              /*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */
              /* ''  u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/
              if(i==nlstate+1){
-               fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p.%d' with line ", gplotcondition, \
+               fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0):%d t 'p.%d' with line lc variable", gplotcondition, \
-                       ioffset+(cpt-1)*(nlstate+1)+1+(i-1),  ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt );
+                       ioffset+(cpt-1)*(nlstate+1)+1+(i-1),  ioffset+1+(i-1)+(nlstate+1)*nlstate,iyearc, cpt );
+               fprintf(ficgp,",\\\n '' ");
+               fprintf(ficgp," u %d:(",iagec);
+               fprintf(ficgp,"%s && (($%d-$%d) == %d ) ? $%d/(1.-$%d) : 1/0):%d with labels center not ", gplotcondition, \
+                       iyearc, iagec, offyear,                           \
+                       ioffset+(cpt-1)*(nlstate+1)+1+(i-1),  ioffset+1+(i-1)+(nlstate+1)*nlstate, iyearc );
+ /*  '' u 6:(($1==1 && $2==0  && $3==2 && $4==0) && (($5-$6) == 1947) ? $10/(1.-$22) : 1/0):5 with labels center boxed not*/
              }else{
                fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p%d%d' with line ", gplotcondition, \
                        ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset +1+(i-1)+(nlstate+1)*nlstate,i,cpt );
              }
            } /* end if covariate */
          } /* nlstate */
-         fprintf(ficgp,"\nset out\n");
+         fprintf(ficgp,"\nset out; unset label;\n");
        } /* end cpt state*/
      } /* end covariate */
    } /* End if prevfcast */
+   if(prevbcast==1){
+     /* Back projection from cross-sectional to stable (mixed) for each covariate */
+     for (k1=1; k1<= m ; k1 ++) /* For each covariate combination if any */
+     for(nres=1; nres <= nresult; nres++){ /* For each resultline */
+       if(m != 1 && TKresult[nres]!= k1)
+         continue;
+       for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */
+         strcpy(gplotlabel,"(");
+         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  */
+           lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate value corresponding to k1 combination and kth covariate */
+           /* decodtabm(1,1,4) = 1 because h=1  k= (1) 1  1  1 */
+           /* decodtabm(1,2,4) = 1 because h=1  k=  1 (1) 1  1 */
+           /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
+           vlv= nbcode[Tvaraff[k]][lv];
+           fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
+         }
+         for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
+           fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+           sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+         }
+         strcpy(gplotlabel+strlen(gplotlabel),")");
+         fprintf(ficgp,"\n#\n");
+         if(invalidvarcomb[k1]){
+           fprintf(ficgp,"#Combination (%d) ignored because no cases \n",k1);
+           continue;
+         }
+         fprintf(ficgp,"# hbijx=backprobability over h years, hb.jx is weighted by observed prev at destination state\n ");
+         fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJB_"),cpt,k1,nres);
+         fprintf(ficgp,"set label \"Origin alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel);
+         fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Prevalence\" \n\
+ set ter svg size 640, 480\nunset log y\nplot [%.f:%.f]  ", ageminpar, agemaxpar);
+         /* for (i=1; i<= nlstate+1 ; i ++){  /\* nlstate +1 p11 p21 p.1 *\/ */
+         istart=nlstate+1; /* Could be one if by state, but nlstate+1 is w.i projection only */
+         /*istart=1;*/ /* Could be one if by state, but nlstate+1 is w.i projection only */
+         for (i=istart; i<= nlstate+1 ; i ++){  /* nlstate +1 p11 p21 p.1 */
+           /*#  V1  = 1  V2 =  0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/
+           /*#   1    2   3    4    5      6  7   8   9   10   11 12  13   14  15 */
+           /*# yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/
+           /*#   1       2   3    4    5      6  7   8   9   10   11 12  13   14  15 */
+           if(i==istart){
+             fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"FB_"));
+           }else{
+             fprintf(ficgp,",\\\n '' ");
+           }
+           if(cptcoveff ==0){ /* No covariate */
+             ioffset=2; /* Age is in 2 */
+             /*# yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/
+             /*#   1       2   3   4   5  6    7  8   9   10  11  12  13  14  15  16  17  18 */
+             /*# V1  = 1 yearproj age p11 p21 p31 p.1 p12 p22 p32 p.2 p13 p23 p33 p.3 p14 p24 p34 p.4*/
+             /*#  1    2        3   4   5  6    7  8   9   10  11  12  13  14  15  16  17  18 */
+             fprintf(ficgp," u %d:(", ioffset);
+             if(i==nlstate+1){
+               fprintf(ficgp," $%d/(1.-$%d)):1 t 'bw%d' with line lc variable ", \
+                       ioffset+(cpt-1)*(nlstate+1)+1+(i-1),  ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt );
+               fprintf(ficgp,",\\\n '' ");
+               fprintf(ficgp," u %d:(",ioffset);
+               fprintf(ficgp," (($1-$2) == %d ) ? $%d : 1/0):1 with labels center not ", \
+                      offbyear,                          \
+                       ioffset+(cpt-1)*(nlstate+1)+1+(i-1) );
+             }else
+               fprintf(ficgp," $%d/(1.-$%d)) t 'b%d%d' with line ",      \
+                       ioffset+(cpt-1)*(nlstate+1)+1+(i-1),  ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt,i );
+           }else{ /* more than 2 covariates */
+             ioffset=2*cptcoveff+2; /* Age is in 4 or 6 or etc.*/
+             /*#  V1  = 1  V2 =  0 yearproj age p11 p21 p.1 p12 p22 p.2 p13 p23 p.3*/
+             /*#   1    2   3    4    5      6  7   8   9   10   11 12  13   14  15 */
+             iyearc=ioffset-1;
+             iagec=ioffset;
+             fprintf(ficgp," u %d:(",ioffset);
+             kl=0;
+             strcpy(gplotcondition,"(");
+             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 */
+               /* decodtabm(1,1,4) = 1 because h=1  k= (1) 1  1  1 */
+               /* decodtabm(1,2,4) = 1 because h=1  k=  1 (1) 1  1 */
+               /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
+               vlv= nbcode[Tvaraff[k]][lv]; /* Value of the modality of Tvaraff[k] */
+               kl++;
+               sprintf(gplotcondition+strlen(gplotcondition),"$%d==%d && $%d==%d " ,kl,Tvaraff[k], kl+1, nbcode[Tvaraff[k]][lv]);
+               kl++;
+               if(k <cptcoveff && cptcoveff>1)
+                 sprintf(gplotcondition+strlen(gplotcondition)," && ");
+             }
+             strcpy(gplotcondition+strlen(gplotcondition),")");
+             /* kl=6+(cpt-1)*(nlstate+1)+1+(i-1); /\* 6+(1-1)*(2+1)+1+(1-1)=7, 6+(2-1)(2+1)+1+(1-1)=10 *\/ */
+             /*6+(cpt-1)*(nlstate+1)+1+(i-1)+(nlstate+1)*nlstate; 6+(1-1)*(2+1)+1+(1-1) +(2+1)*2=13 */
+             /*6+1+(i-1)+(nlstate+1)*nlstate; 6+1+(1-1) +(2+1)*2=13 */
+             /* ''  u 6:(($1==1 && $2==0 && $3==2 && $4==0)? $9/(1.-$15) : 1/0):($5==2000? 3:2) t 'p.1' with line lc variable*/
+             if(i==nlstate+1){
+               fprintf(ficgp,"%s ? $%d : 1/0):%d t 'bw%d' with line lc variable", gplotcondition, \
+                       ioffset+(cpt-1)*(nlstate+1)+1+(i-1),iyearc,cpt );
+               fprintf(ficgp,",\\\n '' ");
+               fprintf(ficgp," u %d:(",iagec);
+               /* fprintf(ficgp,"%s && (($5-$6) == %d ) ? $%d/(1.-$%d) : 1/0):5 with labels center not ", gplotcondition, \ */
+               fprintf(ficgp,"%s && (($%d-$%d) == %d ) ? $%d : 1/0):%d with labels center not ", gplotcondition, \
+                       iyearc,iagec,offbyear,                            \
+                       ioffset+(cpt-1)*(nlstate+1)+1+(i-1), iyearc );
+ /*  '' u 6:(($1==1 && $2==0  && $3==2 && $4==0) && (($5-$6) == 1947) ? $10/(1.-$22) : 1/0):5 with labels center boxed not*/
+             }else{
+               /* fprintf(ficgp,"%s ? $%d/(1.-$%d) : 1/0) t 'p%d%d' with line ", gplotcondition, \ */
+               fprintf(ficgp,"%s ? $%d : 1/0) t 'b%d%d' with line ", gplotcondition, \
+                       ioffset+(cpt-1)*(nlstate+1)+1+(i-1), cpt,i );
+             }
+           } /* end if covariate */
+         } /* nlstate */
+         fprintf(ficgp,"\nset out; unset label;\n");
+       } /* end cpt state*/
+     } /* end covariate */
+   } /* End if prevbcast */
-   /* proba elementaires */
+   /* 9eme writing MLE parameters */
-   fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n");
+   fprintf(ficgp,"\n##############\n#9eme MLE estimated parameters\n#############\n");
    for(i=1,jk=1; i <=nlstate; i++){
      fprintf(ficgp,"# initial state %d\n",i);
      for(k=1; k <=(nlstate+ndeath); k++){
- Line 6616  plot [%.f:%.f]  ", ageminpar, agemaxpar)
+ Line 7930  plot [%.f:%.f]  ", ageminpar, agemaxpar)
    fprintf(ficgp,"##############\n#\n");
    /*goto avoid;*/
-   fprintf(ficgp,"\n##############\n#Graphics of probabilities or incidences\n#############\n");
+   /* 10eme Graphics of probabilities or incidences using written MLE parameters */
+   fprintf(ficgp,"\n##############\n#10eme Graphics of probabilities or incidences\n#############\n");
    fprintf(ficgp,"# logi(p12/p11)=a12+b12*age+c12age*age+d12*V1+e12*V1*age\n");
    fprintf(ficgp,"# logi(p12/p11)=p1 +p2*age +p3*age*age+ p4*V1+ p5*V1*age\n");
    fprintf(ficgp,"# logi(p13/p11)=a13+b13*age+c13age*age+d13*V1+e13*V1*age\n");
- Line 6631  plot [%.f:%.f]  ", ageminpar, agemaxpar)
+ Line 7946  plot [%.f:%.f]  ", ageminpar, agemaxpar)
    fprintf(ficgp,"#       +exp(a14+b14*age+c14age*age+d14*V1+e14*V1*age)+...)\n");
    fprintf(ficgp,"#\n");
    for(ng=1; ng<=3;ng++){ /* Number of graphics: first is logit, 2nd is probabilities, third is incidences per year*/
-     fprintf(ficgp,"# ng=%d\n",ng);
+     fprintf(ficgp,"#Number of graphics: first is logit, 2nd is probabilities, third is incidences per year\n");
-     fprintf(ficgp,"#   jk=1 to 2^%d=%d\n",cptcoveff,m);
+     fprintf(ficgp,"#model=%s \n",model);
-     for(jk=1; jk <=m; jk++) {
+     fprintf(ficgp,"# Type of graphic ng=%d\n",ng);
-       fprintf(ficgp,"#    jk=%d\n",jk);
+     fprintf(ficgp,"#   k1=1 to 2^%d=%d\n",cptcoveff,m);/* to be checked */
-       fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),jk,ng);
+     for(k1=1; k1 <=m; k1++)  /* For each combination of covariate */
+     for(nres=1; nres <= nresult; nres++){ /* For each resultline */
+       if(m != 1 && TKresult[nres]!= k1)
+         continue;
+       fprintf(ficgp,"\n\n# Combination of dummy  k1=%d which is ",k1);
+       strcpy(gplotlabel,"(");
+       /*sprintf(gplotlabel+strlen(gplotlabel)," Dummy combination %d ",k1);*/
+       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 */
+         /* decodtabm(1,1,4) = 1 because h=1  k= (1) 1  1  1 */
+         /* decodtabm(1,2,4) = 1 because h=1  k=  1 (1) 1  1 */
+         /* decodtabm(13,3,4)= 2 because h=13 k=  1  1 (2) 2 */
+         vlv= nbcode[Tvaraff[k]][lv];
+         fprintf(ficgp," V%d=%d ",Tvaraff[k],vlv);
+         sprintf(gplotlabel+strlen(gplotlabel)," V%d=%d ",Tvaraff[k],vlv);
+       }
+       for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
+         fprintf(ficgp," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+         sprintf(gplotlabel+strlen(gplotlabel)," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+       }
+       strcpy(gplotlabel+strlen(gplotlabel),")");
+       fprintf(ficgp,"\n#\n");
+       fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" ",subdirf2(optionfilefiname,"PE_"),k1,ng,nres);
+       fprintf(ficgp,"\nset key outside ");
+       /* fprintf(ficgp,"\nset label \"%s\" at graph 1.2,0.5 center rotate font \"Helvetica,12\"\n",gplotlabel); */
+       fprintf(ficgp,"\nset title \"%s\" font \"Helvetica,12\"\n",gplotlabel);
        fprintf(ficgp,"\nset ter svg size 640, 480 ");
        if (ng==1){
          fprintf(ficgp,"\nset ylabel \"Value of the logit of the model\"\n"); /* exp(a12+b12*x) could be nice */
- Line 6675  plot [%.f:%.f]  ", ageminpar, agemaxpar)
+ Line 8015  plot [%.f:%.f]  ", ageminpar, agemaxpar)
                break;
              }
              ij=1;/* To be checked else nbcode[0][0] wrong */
-             for(j=3; j <=ncovmodel-nagesqr; j++) {
+             ijp=1; /* product no age */
+             /* for(j=3; j <=ncovmodel-nagesqr; j++) { */
+             for(j=1; j <=cptcovt; j++) { /* For each covariate of the simplified model */
                /* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */
-               if(ij <=cptcovage) { /* Bug valgrind */
+               if(cptcovage >0){ /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */
-                 if((j-2)==Tage[ij]) { /* Bug valgrind */
+                 if(j==Tage[ij]) { /* Product by age  To be looked at!!*/
-                   fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
+                   if(ij <=cptcovage) { /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */
-                   /* fprintf(ficgp,"+p%d*%d*x",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,Tvar[j-2])]); */
+                     if(DummyV[j]==0){
-                   ij++;
+                       fprintf(ficgp,"+p%d*%d*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);;
+                     }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++;
+                   }
+                 }
+               }else 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",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",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",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++;
+                   }
+                 } /* end Tprod */
+               } else{  /* 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]]); /*  */
+                 }else{ /* quantitative */
+                   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 */
-               else
+             } /* end j */
-                 fprintf(ficgp,"+p%d*%d",i+j+nagesqr-1,nbcode[Tvar[j-2]][codtabm(jk,j-2)]); /* Valgrind bug nbcode */
-             }
            }else{
              i=i-ncovmodel;
              if(ng !=1 ) /* For logit formula of log p11 is more difficult to get */
- Line 6696  plot [%.f:%.f]  ", ageminpar, agemaxpar)
+ Line 8072  plot [%.f:%.f]  ", ageminpar, agemaxpar)
            if(ng != 1){
              fprintf(ficgp,")/(1");
-             for(k1=1; k1 <=nlstate; k1++){
+             for(cpt=1; cpt <=nlstate; cpt++){
                if(nagesqr==0)
-                 fprintf(ficgp,"+exp(p%d+p%d*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1);
+                 fprintf(ficgp,"+exp(p%d+p%d*x",k3+(cpt-1)*ncovmodel,k3+(cpt-1)*ncovmodel+1);
                else /* nagesqr =1 */
-                 fprintf(ficgp,"+exp(p%d+p%d*x+p%d*x*x",k3+(k1-1)*ncovmodel,k3+(k1-1)*ncovmodel+1,k3+(k1-1)*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;
                for(j=3; j <=ncovmodel-nagesqr; j++){
-                 if(ij <=cptcovage) { /* Bug valgrind */
+                  if(cptcovage >0){
-                   if((j-2)==Tage[ij]) { /* Bug valgrind */
+                    if((j-2)==Tage[ij]) { /* Bug valgrind */
-                     fprintf(ficgp,"+p%d*%d*x",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);
+                      if(ij <=cptcovage) { /* Bug valgrind */
-                     /* fprintf(ficgp,"+p%d*%d*x",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,Tvar[j-2])]); */
+                        fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);
-                     ij++;
+                        /* fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,Tvar[j-2])]); */
-                   }
+                        ij++;
-                 }
+                      }
-                 else
+                    }
-                   fprintf(ficgp,"+p%d*%d",k3+(k1-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(jk,j-2)]);/* Valgrind bug nbcode */
+                  }else
+                    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,")");
              }
              fprintf(ficgp,")");
              if(ng ==2)
-               fprintf(ficgp," t \"p%d%d\" ", 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 */
-               fprintf(ficgp," t \"i%d%d\" ", 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 */
              if( k !=k2) /* logit p11 is hard to draw */
-               fprintf(ficgp," t \"logit(p%d%d)\" ", 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);
            }
            if ((k+k2)!= (nlstate*2+ndeath) && ng != 1)
              fprintf(ficgp,",");
- Line 6732  plot [%.f:%.f]  ", ageminpar, agemaxpar)
+ Line 8109  plot [%.f:%.f]  ", ageminpar, agemaxpar)
            i=i+ncovmodel;
          } /* end k */
        } /* end k2 */
-       fprintf(ficgp,"\n set out\n");
+       /* fprintf(ficgp,"\n set out; unset label;set key default;\n"); */
-     } /* end jk */
+       fprintf(ficgp,"\n set out; unset title;set key default;\n");
+     } /* end k1 */
    } /* end ng */
    /* avoid: */
    fflush(ficgp);
- Line 6748  plot [%.f:%.f]  ", ageminpar, agemaxpar)
+ Line 8126  plot [%.f:%.f]  ", ageminpar, agemaxpar)
     int modcovmax =1;
     int mobilavrange, mob;
     int iage=0;
+    int firstA1=0, firstA2=0;
-    double sum=0.;
+    double sum=0., sumr=0.;
     double age;
-    double *sumnewp, *sumnewm;
+    double *sumnewp, *sumnewm, *sumnewmr;
-    double *agemingood, *agemaxgood; /* Currently identical for all covariates */
+    double *agemingood, *agemaxgood;
+    double *agemingoodr, *agemaxgoodr;
-    /* modcovmax=2*cptcoveff;/\* Max number of modalities. We suppose  */
+    /* modcovmax=2*cptcoveff;  Max number of modalities. We suppose  */
-    /*              a covariate has 2 modalities, should be equal to ncovcombmax  *\/ */
+    /*              a covariate has 2 modalities, should be equal to ncovcombmax   */
     sumnewp = vector(1,ncovcombmax);
     sumnewm = vector(1,ncovcombmax);
+    sumnewmr = vector(1,ncovcombmax);
     agemingood = vector(1,ncovcombmax);
+    agemingoodr = vector(1,ncovcombmax);
     agemaxgood = vector(1,ncovcombmax);
+    agemaxgoodr = vector(1,ncovcombmax);
     for (cptcod=1;cptcod<=ncovcombmax;cptcod++){
-      sumnewm[cptcod]=0.;
+      sumnewm[cptcod]=0.; sumnewmr[cptcod]=0.;
       sumnewp[cptcod]=0.;
-      agemingood[cptcod]=0;
+      agemingood[cptcod]=0, agemingoodr[cptcod]=0;
-      agemaxgood[cptcod]=0;
+      agemaxgood[cptcod]=0, agemaxgoodr[cptcod]=0;
     }
     if (cptcovn<1) ncovcombmax=1; /* At least 1 pass */
-    if(mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){
+    if(mobilav==-1 || mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){
-      if(mobilav==1) mobilavrange=5; /* default */
+      if(mobilav==1 || mobilav==-1) mobilavrange=5; /* default */
       else mobilavrange=mobilav;
       for (age=bage; age<=fage; age++)
         for (i=1; i<=nlstate;i++)
- Line 6784  plot [%.f:%.f]  ", ageminpar, agemaxpar)
+ Line 8167  plot [%.f:%.f]  ", ageminpar, agemaxpar)
       */
       for (mob=3;mob <=mobilavrange;mob=mob+2){
         for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){
-          for (i=1; i<=nlstate;i++){
+          for (cptcod=1;cptcod<=ncovcombmax;cptcod++){
-            for (cptcod=1;cptcod<=ncovcombmax;cptcod++){
+            sumnewm[cptcod]=0.;
+            for (i=1; i<=nlstate;i++){
               mobaverage[(int)age][i][cptcod] =probs[(int)age][i][cptcod];
               for (cpt=1;cpt<=(mob-1)/2;cpt++){
                 mobaverage[(int)age][i][cptcod] +=probs[(int)age-cpt][i][cptcod];
                 mobaverage[(int)age][i][cptcod] +=probs[(int)age+cpt][i][cptcod];
               }
               mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/mob;
-            }
+              sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod];
-          }
+            } /* end i */
+            if(sumnewm[cptcod] >1.e-3) mobaverage[(int)age][i][cptcod]=mobaverage[(int)age][i][cptcod]/sumnewm[cptcod]; /* Rescaling to sum one */
+          } /* end cptcod */
         }/* end age */
       }/* end mob */
-    }else
+    }else{
+      printf("Error internal in movingaverage, mobilav=%d.\n",mobilav);
       return -1;
-    for (cptcod=1;cptcod<=ncovcombmax;cptcod++){
+    }
+    for (cptcod=1;cptcod<=ncovcombmax;cptcod++){ /* for each combination */
       /* for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ */
       if(invalidvarcomb[cptcod]){
         printf("\nCombination (%d) ignored because no cases \n",cptcod);
         continue;
       }
-      agemingood[cptcod]=fage-(mob-1)/2;
+      for (age=fage-(mob-1)/2; age>=bage+(mob-1)/2; age--){ /*looking for the youngest and oldest good age */
-      for (age=fage-(mob-1)/2; age>=bage; age--){/* From oldest to youngest, finding the youngest wrong */
         sumnewm[cptcod]=0.;
+        sumnewmr[cptcod]=0.;
         for (i=1; i<=nlstate;i++){
           sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod];
+          sumnewmr[cptcod]+=probs[(int)age][i][cptcod];
+        }
+        if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good without smoothing */
+          agemingoodr[cptcod]=age;
         }
         if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */
-          agemingood[cptcod]=age;
+            agemingood[cptcod]=age;
-        }else{ /* bad */
+        }
-          for (i=1; i<=nlstate;i++){
+      } /* age */
-            mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod];
+      for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ /*looking for the youngest and oldest good age */
-          } /* i */
-        } /* end bad */
-      }/* age */
-      sum=0.;
-      for (i=1; i<=nlstate;i++){
-        sum+=mobaverage[(int)agemingood[cptcod]][i][cptcod];
-      }
-      if(fabs(sum - 1.) > 1.e-3) { /* bad */
-        printf("For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one at any descending age!\n",cptcod);
-        /* for (i=1; i<=nlstate;i++){ */
-        /*   mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; */
-        /* } /\* i *\/ */
-      } /* end bad */
-      /* else{ /\* We found some ages summing to one, we will smooth the oldest *\/ */
-      /* From youngest, finding the oldest wrong */
-      agemaxgood[cptcod]=bage+(mob-1)/2;
-      for (age=bage+(mob-1)/2; age<=fage; age++){
         sumnewm[cptcod]=0.;
+        sumnewmr[cptcod]=0.;
         for (i=1; i<=nlstate;i++){
           sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod];
+          sumnewmr[cptcod]+=probs[(int)age][i][cptcod];
+        }
+        if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good without smoothing */
+          agemaxgoodr[cptcod]=age;
         }
         if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */
           agemaxgood[cptcod]=age;
-        }else{ /* bad */
+        }
-          for (i=1; i<=nlstate;i++){
+      } /* age */
-            mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod];
+      /* Thus we have agemingood and agemaxgood as well as goodr for raw (preobs) */
-          } /* i */
+      /* 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 */
+        sumnewm[cptcod]=0.;
+        sumnewmr[cptcod]=0.;
+        for (i=1; i<=nlstate;i++){
+          sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod];
+          sumnewmr[cptcod]+=probs[(int)age][i][cptcod];
+        }
+        if(mobilav==-1){ /* Forcing raw ages if good else agemingood */
+          if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good without smoothing */
+            agemaxgoodr[cptcod]=age;  /* age min */
+            for (i=1; i<=nlstate;i++)
+              mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod];
+          }else{ /* bad we change the value with the values of good ages */
+            for (i=1; i<=nlstate;i++){
+              mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgoodr[cptcod]][i][cptcod];
+            } /* i */
+          } /* end bad */
+        }else{
+          if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */
+            agemaxgood[cptcod]=age;
+          }else{ /* bad we change the value with the values of good ages */
+            for (i=1; i<=nlstate;i++){
+              mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod];
+            } /* i */
+          } /* end bad */
+        }/* end else */
+        sum=0.;sumr=0.;
+        for (i=1; i<=nlstate;i++){
+          sum+=mobaverage[(int)age][i][cptcod];
+          sumr+=probs[(int)age][i][cptcod];
+        }
+        if(fabs(sum - 1.) > 1.e-3) { /* bad */
+          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 */
+        /* else{ /\* We found some ages summing to one, we will smooth the oldest *\/ */
+        if(fabs(sumr - 1.) > 1.e-3) { /* bad */
+          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 */
       }/* age */
-      sum=0.;
-      for (i=1; i<=nlstate;i++){
+      for (age=bage+(mob-1)/2; age<=fage; age++){/* From youngest, finding the oldest wrong */
-        sum+=mobaverage[(int)agemaxgood[cptcod]][i][cptcod];
+        sumnewm[cptcod]=0.;
-      }
+        sumnewmr[cptcod]=0.;
-      if(fabs(sum - 1.) > 1.e-3) { /* bad */
+        for (i=1; i<=nlstate;i++){
-        printf("For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one at any ascending age!\n",cptcod);
+          sumnewm[cptcod]+=mobaverage[(int)age][i][cptcod];
-        /* for (i=1; i<=nlstate;i++){ */
+          sumnewmr[cptcod]+=probs[(int)age][i][cptcod];
-        /*   mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; */
+        }
-        /* } /\* i *\/ */
+        if(mobilav==-1){ /* Forcing raw ages if good else agemingood */
-      } /* end bad */
+          if(fabs(sumnewmr[cptcod] - 1.) <= 1.e-3) { /* good */
+            agemingoodr[cptcod]=age;
+            for (i=1; i<=nlstate;i++)
+              mobaverage[(int)age][i][cptcod]=probs[(int)age][i][cptcod];
+          }else{ /* bad we change the value with the values of good ages */
+            for (i=1; i<=nlstate;i++){
+              mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingoodr[cptcod]][i][cptcod];
+            } /* i */
+          } /* end bad */
+        }else{
+          if(fabs(sumnewm[cptcod] - 1.) <= 1.e-3) { /* good */
+            agemingood[cptcod]=age;
+          }else{ /* bad */
+            for (i=1; i<=nlstate;i++){
+              mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod];
+            } /* i */
+          } /* end bad */
+        }/* end else */
+        sum=0.;sumr=0.;
+        for (i=1; i<=nlstate;i++){
+          sum+=mobaverage[(int)age][i][cptcod];
+          sumr+=mobaverage[(int)age][i][cptcod];
+        }
+        if(fabs(sum - 1.) > 1.e-3) { /* bad */
+          printf("Moving average B1: 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 decrease fage=%d?\n",cptcod, sum, (int) age, (int)fage);
+        } /* end bad */
+        /* else{ /\* We found some ages summing to one, we will smooth the oldest *\/ */
+        if(fabs(sumr - 1.) > 1.e-3) { /* bad */
+          printf("Moving average B2: 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 fage=%d\n",cptcod,sumr, (int)age, (int)fage);
+        } /* end bad */
+      }/* age */
       for (age=bage; age<=fage; age++){
-        printf("%d %d ", cptcod, (int)age);
+        /* printf("%d %d ", cptcod, (int)age); */
         sumnewp[cptcod]=0.;
         sumnewm[cptcod]=0.;
         for (i=1; i<=nlstate;i++){
- Line 6869  plot [%.f:%.f]  ", ageminpar, agemaxpar)
+ Line 8327  plot [%.f:%.f]  ", ageminpar, agemaxpar)
       }
       /* printf("\n"); */
       /* } */
       /* brutal averaging */
-      for (i=1; i<=nlstate;i++){
+      /* for (i=1; i<=nlstate;i++){ */
-        for (age=1; age<=bage; age++){
+      /*   for (age=1; age<=bage; age++){ */
-          mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod];
+      /*          mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; */
-          /* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); */
+      /*          /\* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); *\/ */
-        }
+      /*   }      */
-        for (age=fage; age<=AGESUP; age++){
+      /*   for (age=fage; age<=AGESUP; age++){ */
-          mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod];
+      /*          mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod]; */
-          /* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); */
+      /*          /\* printf("age=%d i=%d cptcod=%d mobaverage=%.4f \n",(int)age,i, cptcod, mobaverage[(int)age][i][cptcod]); *\/ */
-        }
+      /*   } */
-      } /* end i status */
+      /* } /\* end i status *\/ */
-      for (i=nlstate+1; i<=nlstate+ndeath;i++){
+      /* for (i=nlstate+1; i<=nlstate+ndeath;i++){ */
-        for (age=1; age<=AGESUP; age++){
+      /*   for (age=1; age<=AGESUP; age++){ */
-          /*printf("i=%d, age=%d, cptcod=%d\n",i, (int)age, cptcod);*/
+      /*          /\*printf("i=%d, age=%d, cptcod=%d\n",i, (int)age, cptcod);*\/ */
-          mobaverage[(int)age][i][cptcod]=0.;
+      /*          mobaverage[(int)age][i][cptcod]=0.; */
-        }
+      /*   } */
-      }
+      /* } */
     }/* end cptcod */
-    free_vector(sumnewm,1, ncovcombmax);
+    free_vector(agemaxgoodr,1, ncovcombmax);
-    free_vector(sumnewp,1, ncovcombmax);
     free_vector(agemaxgood,1, ncovcombmax);
     free_vector(agemingood,1, ncovcombmax);
+    free_vector(agemingoodr,1, ncovcombmax);
+    free_vector(sumnewmr,1, ncovcombmax);
+    free_vector(sumnewm,1, ncovcombmax);
+    free_vector(sumnewp,1, ncovcombmax);
     return 0;
   }/* End movingaverage */
  /************** Forecasting ******************/
- void prevforecast(char fileres[], double anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){
+ /* 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
       dateprev1 dateprev2 range of dates during which prevalence is computed
-      anproj2 year of en of projection (same day and month as proj1).
    */
-   int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1;
+   /* double anprojd, mprojd, jprojd; */
+   /* double anprojf, mprojf, jprojf; */
+   int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1, k4, nres=0;
    double agec; /* generic age */
-   double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean;
+   double agelim, ppij, yp,yp1,yp2;
    double *popeffectif,*popcount;
    double ***p3mat;
    /* double ***mobaverage; */
- Line 6924  void prevforecast(char fileres[], double
+ Line 8391  void prevforecast(char fileres[], double
      printf("Problem with forecast resultfile: %s\n", fileresf);
      fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf);
    }
-   printf("Computing forecasting: result on file '%s', please wait... \n", fileresf);
+   printf("\nComputing forecasting: result on file '%s', please wait... \n", fileresf);
-   fprintf(ficlog,"Computing forecasting: result on file '%s', please wait... \n", fileresf);
+   fprintf(ficlog,"\nComputing forecasting: result on file '%s', please wait... \n", fileresf);
    if (cptcoveff==0) ncodemax[cptcoveff]=1;
- Line 6935  void prevforecast(char fileres[], double
+ Line 8402  void prevforecast(char fileres[], double
    if(estepm < stepm){
      printf ("Problem %d lower than %d\n",estepm, stepm);
    }
-   else  hstepm=estepm;
+   else{
+     hstepm=estepm;
+   }
+   if(estepm > stepm){ /* Yes every two year */
+     stepsize=2;
+   }
+   hstepm=hstepm/stepm;
+   /* yp1=modf(dateintmean,&yp);/\* extracts integral of datemean in yp  and */
+   /*                              fractional in yp1 *\/ */
+   /* aintmean=yp; */
+   /* yp2=modf((yp1*12),&yp); */
+   /* mintmean=yp; */
+   /* yp1=modf((yp2*30.5),&yp); */
+   /* jintmean=yp; */
+   /* if(jintmean==0) jintmean=1; */
+   /* if(mintmean==0) mintmean=1; */
-   hstepm=hstepm/stepm;
-   yp1=modf(dateintmean,&yp);/* extracts integral of datemean in yp  and
-                                fractional in yp1 */
-   anprojmean=yp;
-   yp2=modf((yp1*12),&yp);
-   mprojmean=yp;
-   yp1=modf((yp2*30.5),&yp);
-   jprojmean=yp;
-   if(jprojmean==0) jprojmean=1;
-   if(mprojmean==0) jprojmean=1;
+   /* date2dmy(dateintmean,&jintmean,&mintmean,&aintmean); */
+   /* date2dmy(dateprojd,&jprojd, &mprojd, &anprojd); */
+   /* date2dmy(dateprojf,&jprojf, &mprojf, &anprojf); */
    i1=pow(2,cptcoveff);
    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");
  /*            if (h==(int)(YEARM*yearp)){ */
-   for(k=1;k<=i1;k++){
+   for(nres=1; nres <= nresult; nres++) /* For each resultline */
+   for(k=1; k<=i1;k++){
+     if(i1 != 1 && TKresult[nres]!= k)
+       continue;
      if(invalidvarcomb[k]){
        printf("\nCombination (%d) projection ignored because no cases \n",k);
        continue;
      }
      fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#");
      for(j=1;j<=cptcoveff;j++) {
        fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+     }
+     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," yearproj age");
+     for(j=1; j<=nlstate+ndeath;j++){
+       for(i=1; i<=nlstate;i++)
+         fprintf(ficresf," p%d%d",i,j);
+       fprintf(ficresf," wp.%d",j);
+     }
+     for (yearp=0; yearp<=(anprojf-anprojd);yearp +=stepsize) {
+       fprintf(ficresf,"\n");
+       fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jprojd,mprojd,anprojd+yearp);
+       /* for (agec=fage; agec>=(ageminpar-1); agec--){  */
+       for (agec=fage; agec>=(bage); agec--){
+         nhstepm=(int) rint((agelim-agec)*YEARM/stepm);
+         nhstepm = nhstepm/hstepm;
+         p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+         oldm=oldms;savm=savms;
+         /* We compute pii at age agec over nhstepm);*/
+         hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k,nres);
+         /* Then we print p3mat for h corresponding to the right agec+h*stepms=yearp */
+         for (h=0; h<=nhstepm; h++){
+           if (h*hstepm/YEARM*stepm ==yearp) {
+             break;
+           }
+         }
+         fprintf(ficresf,"\n");
+         for(j=1;j<=cptcoveff;j++)
+           fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+         fprintf(ficresf,"%.f %.f ",anprojd+yearp,agec+h*hstepm/YEARM*stepm);
+         for(j=1; j<=nlstate+ndeath;j++) {
+           ppij=0.;
+           for(i=1; i<=nlstate;i++) {
+             if (mobilav>=1)
+              ppij=ppij+p3mat[i][j][h]*prev[(int)agec][i][k];
+             else { /* even if mobilav==-1 we use mobaverage, probs may not sums to 1 */
+                 ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][k];
+             }
+             fprintf(ficresf," %.3f", p3mat[i][j][h]);
+           } /* end i */
+           fprintf(ficresf," %.3f", ppij);
+         }/* end j */
+         free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+       } /* end agec */
+       /* diffyear=(int) anproj1+yearp-ageminpar-1; */
+       /*printf("Prevforecast %d+%d-%d=diffyear=%d\n",(int) anproj1, (int)yearp,(int)ageminpar,(int) anproj1-(int)ageminpar);*/
+     } /* end yearp */
+   } /* end  k */
+   fclose(ficresf);
+   printf("End of Computing forecasting \n");
+   fprintf(ficlog,"End of Computing forecasting\n");
+ }
+ /************** 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 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
+      dateprev1 dateprev2 range of dates during which prevalence is computed
+      anback2 year of end of backprojection (same day and month as back1).
+      prevacurrent and prev are prevalences.
+   */
+   int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1, k4, nres=0;
+   double agec; /* generic age */
+   double agelim, ppij, ppi, yp,yp1,yp2; /* ,jintmean,mintmean,aintmean;*/
+   double *popeffectif,*popcount;
+   double ***p3mat;
+   /* double ***mobaverage; */
+   char fileresfb[FILENAMELENGTH];
+   agelim=AGEINF;
+   /* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people
+      in each health status at the date of interview (if between dateprev1 and dateprev2).
+      We still use firstpass and lastpass as another selection.
+   */
+   /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart,\ */
+   /*          firstpass, lastpass,  stepm,  weightopt, model); */
+   /*Do we need to compute prevalence again?*/
+   /* prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); */
+   strcpy(fileresfb,"FB_");
+   strcat(fileresfb,fileresu);
+   if((ficresfb=fopen(fileresfb,"w"))==NULL) {
+     printf("Problem with back forecast resultfile: %s\n", fileresfb);
+     fprintf(ficlog,"Problem with back forecast resultfile: %s\n", fileresfb);
+   }
+   printf("\nComputing back forecasting: result on file '%s', please wait... \n", fileresfb);
+   fprintf(ficlog,"\nComputing back forecasting: result on file '%s', please wait... \n", fileresfb);
+   if (cptcoveff==0) ncodemax[cptcoveff]=1;
+   stepsize=(int) (stepm+YEARM-1)/YEARM;
+   if (stepm<=12) stepsize=1;
+   if(estepm < stepm){
+     printf ("Problem %d lower than %d\n",estepm, stepm);
+   }
+   else{
+     hstepm=estepm;
+   }
+   if(estepm >= stepm){ /* Yes every two year */
+     stepsize=2;
+   }
+   hstepm=hstepm/stepm;
+   /* yp1=modf(dateintmean,&yp);/\* extracts integral of datemean in yp  and */
+   /*                              fractional in yp1 *\/ */
+   /* aintmean=yp; */
+   /* yp2=modf((yp1*12),&yp); */
+   /* mintmean=yp; */
+   /* yp1=modf((yp2*30.5),&yp); */
+   /* jintmean=yp; */
+   /* if(jintmean==0) jintmean=1; */
+   /* if(mintmean==0) jintmean=1; */
+   i1=pow(2,cptcoveff);
+   if (cptcovn < 1){i1=1;}
+   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",jintmean,mintmean,aintmean,dateintmean,dateprev1,dateprev2);
+   fprintf(ficresfb,"#****** Routine prevbackforecast **\n");
+   for(nres=1; nres <= nresult; nres++) /* For each resultline */
+   for(k=1; k<=i1;k++){
+     if(i1 != 1 && TKresult[nres]!= k)
+       continue;
+     if(invalidvarcomb[k]){
+       printf("\nCombination (%d) projection ignored because no cases \n",k);
+       continue;
+     }
+     fprintf(ficresfb,"\n#****** hbijx=probability over h years, hb.jx is weighted by observed prev \n#");
+     for(j=1;j<=cptcoveff;j++) {
+       fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
      }
-     fprintf(ficresf," yearproj age");
+     for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
-     for(j=1; j<=nlstate+ndeath;j++){
+       fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
-       for(i=1; i<=nlstate;i++)
-         fprintf(ficresf," p%d%d",i,j);
-       fprintf(ficresf," wp.%d",j);
      }
-     for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) {
+     fprintf(ficresfb," yearbproj age");
-       fprintf(ficresf,"\n");
+     for(j=1; j<=nlstate+ndeath;j++){
-       fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp);
+       for(i=1; i<=nlstate;i++)
-       for (agec=fage; agec>=(ageminpar-1); agec--){
+         fprintf(ficresfb," b%d%d",i,j);
-         nhstepm=(int) rint((agelim-agec)*YEARM/stepm);
+       fprintf(ficresfb," b.%d",j);
-         nhstepm = nhstepm/hstepm;
+     }
+     for (yearp=0; yearp>=(anbackf-anbackd);yearp -=stepsize) {
+       /* for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) {  */
+       fprintf(ficresfb,"\n");
+       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); */
+       /* for (agec=bage; agec<=agemax-1; agec++){  /\* testing *\/ */
+       for (agec=bage; agec<=fage; agec++){  /* testing */
+         /* We compute bij at age agec over nhstepm, nhstepm decreases when agec increases because of agemax;*/
+         nhstepm=(int) (agec-agelim) *YEARM/stepm;/*     nhstepm=(int) rint((agec-agelim)*YEARM/stepm);*/
+         nhstepm = nhstepm/hstepm;
          p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
          oldm=oldms;savm=savms;
-         hpxij(p3mat,nhstepm,agec,hstepm,p,nlstate,stepm,oldm,savm, k);
+         /* computes hbxij at age agec over 1 to nhstepm */
+         /* printf("####prevbackforecast debug  agec=%.2f nhstepm=%d\n",agec, nhstepm);fflush(stdout); */
+         hbxij(p3mat,nhstepm,agec,hstepm,p,prevacurrent,nlstate,stepm, k, nres);
+         /* hpxij(p3mat,nhstepm,agec,hstepm,p,             nlstate,stepm,oldm,savm, k,nres); */
+         /* Then we print p3mat for h corresponding to the right agec+h*stepms=yearp */
+         /* printf(" agec=%.2f\n",agec);fflush(stdout); */
          for (h=0; h<=nhstepm; h++){
-           if (h*hstepm/YEARM*stepm ==yearp) {
+           if (h*hstepm/YEARM*stepm ==-yearp) {
-             fprintf(ficresf,"\n");
+             break;
-             for(j=1;j<=cptcoveff;j++)
+           }
-               fprintf(ficresf,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+         }
-             fprintf(ficresf,"%.f %.f ",anproj1+yearp,agec+h*hstepm/YEARM*stepm);
+         fprintf(ficresfb,"\n");
-           }
+         for(j=1;j<=cptcoveff;j++)
-           for(j=1; j<=nlstate+ndeath;j++) {
+           fprintf(ficresfb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
-             ppij=0.;
+         fprintf(ficresfb,"%.f %.f ",anbackd+yearp,agec-h*hstepm/YEARM*stepm);
-             for(i=1; i<=nlstate;i++) {
+         for(i=1; i<=nlstate+ndeath;i++) {
-               if (mobilav==1)
+           ppij=0.;ppi=0.;
-                 ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][k];
+           for(j=1; j<=nlstate;j++) {
-               else {
+             /* if (mobilav==1) */
-                 ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][k];
+             ppij=ppij+p3mat[i][j][h]*prevacurrent[(int)agec][j][k];
-               }
+             ppi=ppi+prevacurrent[(int)agec][j][k];
-               if (h*hstepm/YEARM*stepm== yearp) {
+             /* ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][j][k]; */
-                 fprintf(ficresf," %.3f", p3mat[i][j][h]);
+             /* ppi=ppi+mobaverage[(int)agec][j][k]; */
-               }
+               /* else { */
-             } /* end i */
+               /*        ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][k]; */
-             if (h*hstepm/YEARM*stepm==yearp) {
+               /* } */
-               fprintf(ficresf," %.3f", ppij);
+             fprintf(ficresfb," %.3f", p3mat[i][j][h]);
-             }
+           } /* end j */
-           }/* end j */
+           if(ppi <0.99){
-         } /* end h */
+             printf("Error in prevbackforecast, prevalence doesn't sum to 1 for state %d: %3f\n",i, ppi);
+             fprintf(ficlog,"Error in prevbackforecast, prevalence doesn't sum to 1 for state %d: %3f\n",i, ppi);
+           }
+           fprintf(ficresfb," %.3f", ppij);
+         }/* end j */
          free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
        } /* end agec */
      } /* end yearp */
-   } /* end  k */
+   } /* end k */
-   fclose(ficresf);
-   printf("End of Computing forecasting \n");
-   fprintf(ficlog,"End of Computing forecasting\n");
- }
- /* /\************** Back Forecasting ******************\/ */
- /* void prevbackforecast(char fileres[], 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  */
- /*      agemin, agemax range of age */
- /*      dateprev1 dateprev2 range of dates during which prevalence is computed */
- /*      anback2 year of en of backection (same day and month as back1). */
- /*   *\/ */
- /*   int yearp, stepsize, hstepm, nhstepm, j, k, cptcod, i, h, i1; */
- /*   double agec; /\* generic age *\/ */
- /*   double agelim, ppij, yp,yp1,yp2,jprojmean,mprojmean,anprojmean; */
- /*   double *popeffectif,*popcount; */
- /*   double ***p3mat; */
- /*   /\* double ***mobaverage; *\/ */
- /*   char fileresfb[FILENAMELENGTH]; */
- /*   agelim=AGESUP; */
- /*   /\* Compute observed prevalence between dateprev1 and dateprev2 by counting the number of people */
- /*      in each health status at the date of interview (if between dateprev1 and dateprev2). */
- /*      We still use firstpass and lastpass as another selection. */
- /*   *\/ */
- /*   /\* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart,\ *\/ */
- /*   /\*              firstpass, lastpass,  stepm,  weightopt, model); *\/ */
- /*   prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); */
- /*   strcpy(fileresfb,"FB_");  */
- /*   strcat(fileresfb,fileresu); */
- /*   if((ficresfb=fopen(fileresfb,"w"))==NULL) { */
- /*     printf("Problem with back forecast resultfile: %s\n", fileresfb); */
- /*     fprintf(ficlog,"Problem with back forecast resultfile: %s\n", fileresfb); */
- /*   } */
- /*   printf("Computing back forecasting: result on file '%s', please wait... \n", fileresfb); */
- /*   fprintf(ficlog,"Computing back forecasting: result on file '%s', please wait... \n", fileresfb); */
- /*   if (cptcoveff==0) ncodemax[cptcoveff]=1; */
- /*   /\* if (mobilav!=0) { *\/ */
- /*   /\*   mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); *\/ */
- /*   /\*   if (movingaverage(probs, ageminpar, fage, mobaverage,mobilav)!=0){ *\/ */
- /*   /\*     fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav); *\/ */
- /*   /\*     printf(" Error in movingaverage mobilav=%d\n",mobilav); *\/ */
- /*   /\*   } *\/ */
- /*   /\* } *\/ */
- /*   stepsize=(int) (stepm+YEARM-1)/YEARM; */
- /*   if (stepm<=12) stepsize=1; */
- /*   if(estepm < stepm){ */
- /*     printf ("Problem %d lower than %d\n",estepm, stepm); */
- /*   } */
- /*   else  hstepm=estepm;    */
- /*   hstepm=hstepm/stepm;  */
- /*   yp1=modf(dateintmean,&yp);/\* extracts integral of datemean in yp  and */
- /*                                fractional in yp1 *\/ */
- /*   anprojmean=yp; */
- /*   yp2=modf((yp1*12),&yp); */
- /*   mprojmean=yp; */
- /*   yp1=modf((yp2*30.5),&yp); */
- /*   jprojmean=yp; */
- /*   if(jprojmean==0) jprojmean=1; */
- /*   if(mprojmean==0) jprojmean=1; */
- /*   i1=cptcoveff; */
- /*   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);  */
+   /* if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); */
- /*   fprintf(ficresfb,"#****** Routine prevbackforecast **\n"); */
+   fclose(ficresfb);
+   printf("End of Computing Back forecasting \n");
- /*      /\*           if (h==(int)(YEARM*yearp)){ *\/ */
+   fprintf(ficlog,"End of Computing Back forecasting\n");
- /*   for(cptcov=1, k=0;cptcov<=i1;cptcov++){ */
- /*     for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){ */
- /*       k=k+1; */
- /*       fprintf(ficresfb,"\n#****** hbijx=probability over h years, hp.jx is weighted by observed prev \n#"); */
- /*       for(j=1;j<=cptcoveff;j++) { */
- /*                              fprintf(ficresfb," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */
- /*       } */
- /*       fprintf(ficresfb," yearbproj age"); */
- /*       for(j=1; j<=nlstate+ndeath;j++){  */
- /*                              for(i=1; i<=nlstate;i++)               */
- /*           fprintf(ficresfb," p%d%d",i,j); */
- /*                              fprintf(ficresfb," p.%d",j); */
- /*       } */
- /*       for (yearp=0; yearp>=(anback2-anback1);yearp -=stepsize) {  */
- /*                              /\* for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) {  *\/ */
- /*                              fprintf(ficresfb,"\n"); */
- /*                              fprintf(ficresfb,"\n# Back Forecasting at date %.lf/%.lf/%.lf ",jback1,mback1,anback1+yearp);    */
- /*                              for (agec=fage; agec>=(ageminpar-1); agec--){  */
- /*                                      nhstepm=(int) rint((agelim-agec)*YEARM/stepm);  */
- /*                                      nhstepm = nhstepm/hstepm;  */
- /*                                      p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); */
- /*                                      oldm=oldms;savm=savms; */
- /*                                      hbxij(p3mat,nhstepm,agec,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm,oldm,savm, dnewm, doldm, dsavm, k);       */
- /*                                      for (h=0; h<=nhstepm; h++){ */
- /*                                              if (h*hstepm/YEARM*stepm ==yearp) { */
- /*               fprintf(ficresfb,"\n"); */
- /*               for(j=1;j<=cptcoveff;j++)  */
- /*                 fprintf(ficresfb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); */
- /*                                                      fprintf(ficresfb,"%.f %.f ",anback1+yearp,agec+h*hstepm/YEARM*stepm); */
- /*                                              }  */
- /*                                              for(j=1; j<=nlstate+ndeath;j++) { */
- /*                                                      ppij=0.; */
- /*                                                      for(i=1; i<=nlstate;i++) { */
- /*                                                              if (mobilav==1)  */
- /*                                                                      ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][i][cptcod]; */
- /*                                                              else { */
- /*                                                                      ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][cptcod]; */
- /*                                                              } */
- /*                                                              if (h*hstepm/YEARM*stepm== yearp) { */
- /*                                                                      fprintf(ficresfb," %.3f", p3mat[i][j][h]); */
- /*                                                              } */
- /*                                                      } /\* end i *\/ */
- /*                                                      if (h*hstepm/YEARM*stepm==yearp) { */
- /*                                                              fprintf(ficresfb," %.3f", ppij); */
- /*                                                      } */
- /*                                              }/\* end j *\/ */
- /*                                      } /\* end h *\/ */
- /*                                      free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); */
- /*                              } /\* end agec *\/ */
- /*       } /\* end yearp *\/ */
- /*     } /\* end cptcod *\/ */
- /*   } /\* end  cptcov *\/ */
- /*   /\* if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); *\/ */
- /*   fclose(ficresfb); */
- /*   printf("End of Computing Back forecasting \n"); */
- /*   fprintf(ficlog,"End of Computing Back forecasting\n"); */
- /* } */
+ }
+ /* 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){
+     /*------- Variance of forward period (stable) prevalence------*/
+    char fileresvpl[FILENAMELENGTH];
+    FILE *ficresvpl;
+    double **oldm, **savm;
+    double **varpl; /* Variances of prevalence limits by age */
+    int i1, k, nres, j ;
+     strcpy(fileresvpl,"VPL_");
+     strcat(fileresvpl,fileresu);
+     if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {
+       printf("Problem with variance of forward period (stable) prevalence  resultfile: %s\n", fileresvpl);
+       exit(0);
+     }
+     printf("Computing Variance-covariance of forward period (stable) prevalence: file '%s' ...", fileresvpl);fflush(stdout);
+     fprintf(ficlog, "Computing Variance-covariance of forward period (stable) prevalence: file '%s' ...", fileresvpl);fflush(ficlog);
+     /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
+       for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
+     i1=pow(2,cptcoveff);
+     if (cptcovn < 1){i1=1;}
+     for(nres=1; nres <= nresult; nres++) /* For each resultline */
+     for(k=1; k<=i1;k++){
+       if(i1 != 1 && TKresult[nres]!= k)
+         continue;
+       fprintf(ficresvpl,"\n#****** ");
+       printf("\n#****** ");
+       fprintf(ficlog,"\n#****** ");
+       for(j=1;j<=cptcoveff;j++) {
+         fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+         fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+         printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+       }
+       for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */
+         printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
+         fprintf(ficresvpl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
+         fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
+       }
+       fprintf(ficresvpl,"******\n");
+       printf("******\n");
+       fprintf(ficlog,"******\n");
+       varpl=matrix(1,nlstate,(int) bage, (int) fage);
+       oldm=oldms;savm=savms;
+       varprevlim(fileresvpl, ficresvpl, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, ncvyearp, k, strstart, nres);
+       free_matrix(varpl,1,nlstate,(int) bage, (int)fage);
+       /*}*/
+     }
+     fclose(ficresvpl);
+     printf("done variance-covariance of forward period prevalence\n");fflush(stdout);
+     fprintf(ficlog,"done variance-covariance of forward period prevalence\n");fflush(ficlog);
+  }
+ /* Variance of back prevalence: varbprlim */
+  void varbprlim(char fileresu[], int nresult, double ***prevacurrent, int mobilavproj, double bage, double fage, double **bprlim, int *ncvyearp, double ftolpl, double p[], double **matcov, double *delti, int stepm, int cptcoveff){
+       /*------- Variance of back (stable) prevalence------*/
+    char fileresvbl[FILENAMELENGTH];
+    FILE  *ficresvbl;
+    double **oldm, **savm;
+    double **varbpl; /* Variances of back prevalence limits by age */
+    int i1, k, nres, j ;
+    strcpy(fileresvbl,"VBL_");
+    strcat(fileresvbl,fileresu);
+    if((ficresvbl=fopen(fileresvbl,"w"))==NULL) {
+      printf("Problem with variance of back (stable) prevalence  resultfile: %s\n", fileresvbl);
+      exit(0);
+    }
+    printf("Computing Variance-covariance of back (stable) prevalence: file '%s' ...", fileresvbl);fflush(stdout);
+    fprintf(ficlog, "Computing Variance-covariance of back (stable) prevalence: file '%s' ...", fileresvbl);fflush(ficlog);
+    i1=pow(2,cptcoveff);
+    if (cptcovn < 1){i1=1;}
+    for(nres=1; nres <= nresult; nres++) /* For each resultline */
+      for(k=1; k<=i1;k++){
+        if(i1 != 1 && TKresult[nres]!= k)
+          continue;
+        fprintf(ficresvbl,"\n#****** ");
+        printf("\n#****** ");
+        fprintf(ficlog,"\n#****** ");
+        for(j=1;j<=cptcoveff;j++) {
+          fprintf(ficresvbl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+          fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+          printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+        }
+        for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */
+          printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
+          fprintf(ficresvbl," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
+          fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
+        }
+        fprintf(ficresvbl,"******\n");
+        printf("******\n");
+        fprintf(ficlog,"******\n");
+        varbpl=matrix(1,nlstate,(int) bage, (int) fage);
+        oldm=oldms;savm=savms;
+        varbrevlim(fileresvbl, ficresvbl, varbpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, bprlim, ftolpl, mobilavproj, ncvyearp, k, strstart, nres);
+        free_matrix(varbpl,1,nlstate,(int) bage, (int)fage);
+        /*}*/
+      }
+    fclose(ficresvbl);
+    printf("done variance-covariance of back prevalence\n");fflush(stdout);
+    fprintf(ficlog,"done variance-covariance of back prevalence\n");fflush(ficlog);
+  } /* End of varbprlim */
  /************** Forecasting *****not tested NB*************/
  /* void populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2s, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){ */
- Line 7444  void prwizard(int ncovmodel, int nlstate
+ Line 9068  void prwizard(int ncovmodel, int nlstate
  /******************* Gompertz Likelihood ******************************/
  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 */
    for (i=1;i<=imx ; i++) {
- Line 7452  double gompertz(double x[])
+ Line 9076  double gompertz(double x[])
      /*    sump=sump+1;*/
      num=num+1;
    }
+   L=0.0;
+   /* agegomp=AGEGOMP; */
    /* 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]);*/
-   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)))
-              +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 ) { /* ??? */
+        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("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;
  }
- Line 7482  double gompertz(double x[])
+ Line 9112  double gompertz(double x[])
  /******************* Gompertz_f Likelihood ******************************/
  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;
    int i,n=0; /* n is the size of the sample */
- Line 7572  int readdata(char datafile[], int firsto
+ Line 9202  int readdata(char datafile[], int firsto
    /*-------- data file ----------*/
    FILE *fic;
    char dummy[]="                         ";
-   int i=0, j=0, n=0, iv=0;
+   int i=0, j=0, n=0, iv=0, v;
    int lstra;
    int linei, month, year,iout;
+   int noffset=0; /* This is the offset if BOM data file */
    char line[MAXLINE], linetmp[MAXLINE];
    char stra[MAXLINE], strb[MAXLINE];
    char *stratrunc;
+   DummyV=ivector(1,NCOVMAX); /* 1 to 3 */
+   FixedV=ivector(1,NCOVMAX); /* 1 to 3 */
+   for(v=1; v <=ncovcol;v++){
+     DummyV[v]=0;
+     FixedV[v]=0;
+   }
+   for(v=ncovcol+1; v <=ncovcol+nqv;v++){
+     DummyV[v]=1;
+     FixedV[v]=0;
+   }
+   for(v=ncovcol+nqv+1; v <=ncovcol+nqv+ntv;v++){
+     DummyV[v]=0;
+     FixedV[v]=1;
+   }
+   for(v=ncovcol+nqv+ntv+1; v <=ncovcol+nqv+ntv+nqtv;v++){
+     DummyV[v]=1;
+     FixedV[v]=1;
+   }
+   for(v=1; v <=ncovcol+nqv+ntv+nqtv;v++){
+     printf("Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]);
+     fprintf(ficlog,"Covariate type in the data: V%d, DummyV(V%d)=%d, FixedV(V%d)=%d\n",v,v,DummyV[v],v,FixedV[v]);
+   }
    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;
    }
-   i=1;
+     /* Is it a BOM UTF-8 Windows file? */
+   /* First data line */
    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("# 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,"# 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("# 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,"# 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))) {
      linei=linei+1;
      for(j=strlen(line); j>=0;j--){  /* Untabifies line */
- Line 7609  int readdata(char datafile[], int firsto
+ Line 9307  int readdata(char datafile[], int firsto
      /* Loops on waves */
      for (j=maxwav;j>=1;j--){
        for (iv=nqtv;iv>=1;iv--){  /* Loop  on time varying quantitative variables */
-                                 cutv(stra, strb, line, ' ');
+         cutv(stra, strb, line, ' ');
-                                 if(strb[0]=='.') { /* Missing value */
+         if(strb[0]=='.') { /* Missing value */
-                                         lval=-1;
+           lval=-1;
-                                         cotqvar[j][iv][i]=-1; /* 0.0/0.0 */
+           cotqvar[j][iv][i]=-1; /* 0.0/0.0 */
-                                         cotvar[j][ntv+iv][i]=-1; /* For performance reasons */
+           cotvar[j][ntv+iv][i]=-1; /* For performance reasons */
-                                         if(isalpha(strb[1])) { /* .m or .d Really Missing value */
+           if(isalpha(strb[1])) { /* .m or .d Really Missing value */
-                                                 printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value.  Exiting.\n", strb, linei,i,line,iv, nqtv, j);
+             printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value.  Exiting.\n", strb, linei,i,line,iv, nqtv, j);
-                                                 fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value.  Exiting.\n", strb, linei,i,line,iv, nqtv, j);fflush(ficlog);
+             fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. If missing, you should remove this individual or impute a value.  Exiting.\n", strb, linei,i,line,iv, nqtv, j);fflush(ficlog);
-                                                 return 1;
+             return 1;
-                                         }
+           }
-                                 }else{
+         }else{
-                                         errno=0;
+           errno=0;
-                                         /* what_kind_of_number(strb); */
+           /* what_kind_of_number(strb); */
-                                         dval=strtod(strb,&endptr);
+           dval=strtod(strb,&endptr);
-                                         /* if( strb[0]=='\0' || (*endptr != '\0')){ */
+           /* if( strb[0]=='\0' || (*endptr != '\0')){ */
-                                         /* if(strb != endptr && *endptr == '\0') */
+           /* if(strb != endptr && *endptr == '\0') */
-                                         /*    dval=dlval; */
+           /*    dval=dlval; */
-                                         /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN)) */
+           /* if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN)) */
-                                         if( strb[0]=='\0' || (*endptr != '\0')){
+           if( strb[0]=='\0' || (*endptr != '\0')){
-                                                 printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,iv, nqtv, j,maxwav);
+             printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,iv, nqtv, j,maxwav);
-                                                 fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line, iv, nqtv, j,maxwav);fflush(ficlog);
+             fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th quantitative value out of %d measured at wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line, iv, nqtv, j,maxwav);fflush(ficlog);
-                                                 return 1;
+             return 1;
-                                         }
+           }
-                                         cotqvar[j][iv][i]=dval;
+           cotqvar[j][iv][i]=dval;
-                                         cotvar[j][ntv+iv][i]=dval;
+           cotvar[j][ntv+iv][i]=dval;
-                                 }
+         }
-                                 strcpy(line,stra);
+         strcpy(line,stra);
        }/* end loop ntqv */
        for (iv=ntv;iv>=1;iv--){  /* Loop  on time varying dummies */
-                                 cutv(stra, strb, line, ' ');
+         cutv(stra, strb, line, ' ');
-                                 if(strb[0]=='.') { /* Missing value */
+         if(strb[0]=='.') { /* Missing value */
-                                         lval=-1;
+           lval=-1;
-                                 }else{
+         }else{
-                                         errno=0;
+           errno=0;
-                                         lval=strtol(strb,&endptr,10);
+           lval=strtol(strb,&endptr,10);
-                                         /*      if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/
+           /*    if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/
-                                         if( strb[0]=='\0' || (*endptr != '\0')){
+           if( strb[0]=='\0' || (*endptr != '\0')){
-                                                 printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th dummy covariate out of %d measured at wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,iv, ntv, j,maxwav);
+             printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d th dummy covariate out of %d measured at wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,iv, ntv, j,maxwav);
-                                                 fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d dummy covariate out of %d measured wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,iv, ntv,j,maxwav);fflush(ficlog);
+             fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be the %d dummy covariate out of %d measured wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,iv, ntv,j,maxwav);fflush(ficlog);
-                                                 return 1;
+             return 1;
-                                         }
+           }
-                                 }
+         }
-                                 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 \
   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 \
-  output of IMaCh is often meaningless.\n                                                                                                                                \
+  output of IMaCh is often meaningless.\n                                \
   Exiting.\n",lval,linei, i,line,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 \
   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 \
-  output of IMaCh is often meaningless.\n                                                                                                                                \
+  output of IMaCh is often meaningless.\n                                \
   Exiting.\n",lval,linei, i,line,j);fflush(ficlog);
-                                         return 1;
+           return 1;
-                                 }
+         }
-                                 cotvar[j][iv][i]=(double)(lval);
+         cotvar[j][iv][i]=(double)(lval);
-                                 strcpy(line,stra);
+         strcpy(line,stra);
        }/* end loop ntv */
        /* Statuses  at wave */
        cutv(stra, strb, line, ' ');
        if(strb[0]=='.') { /* Missing value */
-                                 lval=-1;
+         lval=-1;
        }else{
-                                 errno=0;
+         errno=0;
-                                 lval=strtol(strb,&endptr,10);
+         lval=strtol(strb,&endptr,10);
-                                 /*      if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/
+         /*      if (errno == ERANGE && (lval == LONG_MAX || lval == LONG_MIN))*/
-                                 if( strb[0]=='\0' || (*endptr != '\0')){
+         if( strb[0]=='\0' || (*endptr != '\0')){
-                                         printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,j,maxwav);
+           printf("Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,j,maxwav);
-                                         fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog);
+           fprintf(ficlog,"Error reading data around '%s' at line number %d for individual %d, '%s'\nShould be a status of wave %d. Setting maxwav=%d might be wrong.  Exiting.\n", strb, linei,i,line,j,maxwav);fflush(ficlog);
-                                         return 1;
+           return 1;
-                                 }
+         }
        }
        s[j][i]=lval;
- Line 7708  int readdata(char datafile[], int firsto
+ Line 9406  int readdata(char datafile[], int firsto
          return 1;
        }
        anint[j][i]= (double) year;
        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);
      } /* End loop on waves */
- Line 7747  int readdata(char datafile[], int firsto
+ Line 9449  int readdata(char datafile[], int firsto
      }
      annais[i]=(double)(year);
      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);
      /* Sample weight */
- Line 7847  int readdata(char datafile[], int firsto
+ Line 9556  int readdata(char datafile[], int firsto
    return (1);
  }
- void removespace(char **stri){/*, char stro[]) {*/
+ void removefirstspace(char **stri){/*, char stro[]) {*/
    char *p1 = *stri, *p2 = *stri;
-   do
+   while (*p2 == ' ')
-     while (*p2 == ' ')
+     p2++;
-       p2++;
+   /* while ((*p1++ = *p2++) !=0) */
-   while (*p1++ == *p2++);
+   /*   ; */
-   *stri=p1;
+   /* do */
+   /*   while (*p2 == ' ') */
+   /*     p2++; */
+   /* while (*p1++ == *p2++); */
+   *stri=p2;
  }
- int decoderesult ( char resultline[])
+ int decoderesult ( char resultline[], int nres)
  /**< This routine decode one result line and returns the combination # of dummy covariates only **/
  {
-   int j=0, k=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];
+   int resultmodel[MAXLINE];
+   int modelresult[MAXLINE];
    char stra[80], strb[80], strc[80], strd[80],stre[80];
-   removespace(&resultline);
+   removefirstspace(&resultline);
    printf("decoderesult:%s\n",resultline);
    if (strstr(resultline,"v") !=0){
- Line 7875  int decoderesult ( char resultline[])
+ Line 9590  int decoderesult ( char resultline[])
    if (strlen(resultsav) >1){
      j=nbocc(resultsav,'='); /**< j=Number of covariate values'=' */
    }
+   if(j == 0){ /* Resultline but no = */
-   for(k=1; k<=j;k++){ /* Loop on total covariates of the model */
+     TKresult[nres]=0; /* Combination for the nresult and the model */
-     cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' '
+     return (0);
-                                      resultsav= V4=1 V5=25.1 V3=0 strb=V3=0 stra= V4=1 V5=25.1 */
+   }
-     cutl(strc,strd,strb,'=');  /* strb:V4=1 strc=1 strd=V4 */
+   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);
+     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);
+   }
+   for(k=1; k<=j;k++){ /* Loop on any covariate of the result line */
+     if(nbocc(resultsav,'=') >1){
+        cutl(stra,strb,resultsav,' '); /* keeps in strb after the first ' '
+                                       resultsav= V4=1 V5=25.1 V3=0 strb=V3=0 stra= V4=1 V5=25.1 */
+        cutl(strc,strd,strb,'=');  /* strb:V4=1 strc=1 strd=V4 */
+     }else
+       cutl(strc,strd,resultsav,'=');
      Tvalsel[k]=atof(strc); /* 1 */
      cutl(strc,stre,strd,'V'); /* strd='V4' strc=4 stre='V' */;
      Tvarsel[k]=atoi(strc);
      /* Typevarsel[k]=1;  /\* 1 for age product *\/ */
- Line 7889  int decoderesult ( char resultline[])
+ Line 9615  int decoderesult ( char resultline[])
      if (nbocc(stra,'=') >0)
        strcpy(resultsav,stra); /* and analyzes it */
    }
+   /* 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 */
+     if(Typevar[k1]==0){ /* Single covariate in model */
+       match=0;
+       for(k2=1; k2 <=j;k2++){/* result line V4=1 V5=24.1 V3=1  V2=8 V1=0 */
+         if(Tvar[k1]==Tvarsel[k2]) {/* Tvar[1]=5 == Tvarsel[2]=5   */
+           modelresult[k2]=k1;/* modelresult[2]=1 modelresult[1]=2  modelresult[3]=3  modelresult[6]=4 modelresult[9]=5 */
+           match=1;
+           break;
+         }
+       }
+       if(match == 0){
+         printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model);
+       }
+     }
+   }
+   /* 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 */
+     match=0;
+     for(k1=1; k1<= cptcovt ;k1++){ /* model line V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
+       if(Typevar[k1]==0){ /* Single */
+         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 */
+           ++match;
+         }
+       }
+     }
+     if(match == 0){
+       printf("Error in result line: %d value missing; result: %s, model=%s\n",k1, resultline, model);
+     }else if(match > 1){
+       printf("Error in result line: %d doubled; result: %s, model=%s\n",k2, resultline, model);
+     }
+   }
+   /* 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 */
+   /* 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*/
+   /* 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*/
+   /*    1 0 0 0 */
+   /*    2 1 0 0 */
+   /*    3 0 1 0 */
+   /*    4 1 1 0 */ /* V4=1, V3=1, V1=0 */
+   /*    5 0 0 1 */
+   /*    6 1 0 1 */ /* V4=1, V3=0, V1=1 */
+   /*    7 0 1 1 */
+   /*    8 1 1 1 */
+   /* 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 */
+   /* V5*age V5 known which value for nres?  */
+   /* Tqinvresult[2]=8 Tqinvresult[1]=25.1  */
+   for(k1=1, k=0, k4=0, k4q=0; k1 <=cptcovt;k1++){ /* model line */
+     if( Dummy[k1]==0 && Typevar[k1]==0 ){ /* Single dummy */
+       k3= resultmodel[k1]; /* resultmodel[2(V4)] = 1=k3 */
+       k2=(int)Tvarsel[k3]; /*  Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 */
+       k+=Tvalsel[k3]*pow(2,k4);  /*  Tvalsel[1]=1  */
+       Tresult[nres][k4+1]=Tvalsel[k3];/* Tresult[nres][1]=1(V4=1)  Tresult[nres][2]=0(V3=0) */
+       Tvresult[nres][k4+1]=(int)Tvarsel[k3];/* Tvresult[nres][1]=4 Tvresult[nres][3]=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);
+       k4++;;
+     }  else if( Dummy[k1]==1 && Typevar[k1]==0 ){ /* Single quantitative */
+       k3q= resultmodel[k1]; /* resultmodel[2] = 1=k3 */
+       k2q=(int)Tvarsel[k3q]; /*  Tvarsel[resultmodel[2]]= Tvarsel[1] = 4=k2 */
+       Tqresult[nres][k4q+1]=Tvalsel[k3q]; /* Tqresult[nres][1]=25.1 */
+       Tvqresult[nres][k4q+1]=(int)Tvarsel[k3q]; /* Tvqresult[nres][1]=5 */
+       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]);
+       k4q++;;
+     }
+   }
+   TKresult[nres]=++k; /* Combination for the nresult and the model */
    return (0);
  }
- int selected( int kvar){ /* Selected combination of covariates */
-   if(Tvarsel[kvar])
-     return (0);
-   else
-     return(1);
- }
  int decodemodel( char model[], int lastobs)
   /**< This routine decodes the model and returns:
          * Model  V1+V2+V3+V8+V7*V8+V5*V6+V8*age+V3*age+age*age
- Line 7913  int decodemodel( char model[], int lasto
+ Line 9708  int decodemodel( char model[], int lasto
          * - Tvard[k]  p Tvard[1][1]@4 {7, 8, 5, 6} for V7*V8 and V5*V6 .
          */
  {
-   int i, j, k, ks;
+   int i, j, k, ks, v;
    int  j1, k1, k2, k3, k4;
    char modelsav[80];
    char stra[80], strb[80], strc[80], strd[80],stre[80];
- Line 7936  int decodemodel( char model[], int lasto
+ Line 9731  int decodemodel( char model[], int lasto
      if ((strpt=strstr(model,"age*age")) !=0){
        printf(" strpt=%s, model=%s\n",strpt, model);
        if(strpt != model){
-                                 printf("Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \
+         printf("Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \
   'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \
   corresponding column of parameters.\n",model);
-                                 fprintf(ficlog,"Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \
+         fprintf(ficlog,"Error in model: 'model=%s'; 'age*age' should in first place before other covariates\n \
   'model=1+age+age*age+V1.' or 'model=1+age+age*age+V1+V1*age.', please swap as well as \n \
   corresponding column of parameters.\n",model); fflush(ficlog);
-                                 return 1;
+         return 1;
        }
        nagesqr=1;
        if (strstr(model,"+age*age") !=0)
-                                 substrchaine(modelsav, model, "+age*age");
+         substrchaine(modelsav, model, "+age*age");
        else if (strstr(model,"age*age+") !=0)
-                                 substrchaine(modelsav, model, "age*age+");
+         substrchaine(modelsav, model, "age*age+");
        else
-                                 substrchaine(modelsav, model, "age*age");
+         substrchaine(modelsav, model, "age*age");
      }else
        nagesqr=0;
      if (strlen(modelsav) >1){
- Line 8020  int decodemodel( char model[], int lasto
+ Line 9815  int decodemodel( char model[], int lasto
        }
        cptcovage=0;
        for(k=1; k<=cptcovt;k++){ /* Loop on total covariates of the model */
-                                 cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+'
+         cutl(stra,strb,modelsav,'+'); /* keeps in strb after the first '+'
                                           modelsav==V2+V1+V4+V3*age strb=V3*age stra=V2+V1+V4 */
-                                 if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */
+         if (nbocc(modelsav,'+')==0) strcpy(strb,modelsav); /* and analyzes it */
-                                 /*      printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/
+         /*      printf("i=%d a=%s b=%s sav=%s\n",i, stra,strb,modelsav);*/
-                                 /*scanf("%d",i);*/
+         /*scanf("%d",i);*/
-                                 if (strchr(strb,'*')) {  /**< Model includes a product V2+V1+V4+V3*age strb=V3*age */
+         if (strchr(strb,'*')) {  /**< Model includes a product V2+V1+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,'*'); /**< 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+V4+V3*age Tvar[4]=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++; /* Sums 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;  /* 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--;
-                                                 cutl(stre,strb,strc,'V');
+             cutl(stre,strb,strc,'V');
-                                                 Tvar[k]=atoi(stre);
+             Tvar[k]=atoi(stre);
-                                                 Typevar[k]=1;  /* 1 for age product */
+             Typevar[k]=1;  /* 1 for age product */
-                                                 cptcovage++;
+             cptcovage++;
-                                                 Tage[cptcovage]=k;
+             Tage[cptcovage]=k;
-                                         } else {  /* Age is not in the model product V2+V1+V1*V4+V3*age+V3*V2  strb=V3*V2*/
+           } else {  /* Age is not in the model product V2+V1+V1*V4+V3*age+V3*V2  strb=V3*V2*/
-                                                 /* loops on k1=1 (V3*V2) and k1=2 V4*V3 */
+             /* loops on k1=1 (V3*V2) and k1=2 V4*V3 */
-                                                 cptcovn++;
+             cptcovn++;
-                                                 cptcovprodnoage++;k1++;
+             cptcovprodnoage++;k1++;
-                                                 cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/
+             cutl(stre,strb,strc,'V'); /* strc= Vn, stre is n; strb=V3*V2 stre=3 strc=*/
-                                                 Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; /* For model-covariate k tells which data-covariate to use but
+             Tvar[k]=ncovcol+nqv+ntv+nqtv+k1; /* 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 */
+                                                 Tvar[3=V1*V4]=4+1 Tvar[5=V3*V2]=4 + 2= 6, etc */
-                                                 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; /* Tpsprod[3]=1, Tposprod[2]=5 */
-                                                 Tvard[k1][1] =atoi(strc); /* m 1 for V1*/
+             Tvard[k1][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*/
-                                                 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) *\/ */
              /*ncovcol=4 and model=V2+V1+V1*V4+age*V3+V3*V2, Tvar[3]=5, Tvar[4]=6, cptcovt=5 */
-                                                 /*                     1  2   3      4     5 | Tvar[5+1)=1, Tvar[7]=2   */
+             /*                     1  2   3      4     5 | Tvar[5+1)=1, Tvar[7]=2   */
-                                                 for (i=1; i<=lastobs;i++){
+             for (i=1; i<=lastobs;i++){
-                                                         /* Computes the new covariate which is a product of
+               /* Computes the new covariate which is a product of
-                                                                  covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */
+                  covar[n][i]* covar[m][i] and stores it at ncovol+k1 May not be defined */
-                                                         covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i];
+               covar[ncovcol+k1][i]=covar[atoi(stre)][i]*covar[atoi(strc)][i];
-                                                 }
+             }
-                                         } /* 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 { /* no more sum */
-                                         /*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');
-                                         ks++; /**< Number of simple covariates dummy or quantitative, fixe or varying */
+           ks++; /**< Number of simple covariates dummy or quantitative, fixe or varying */
-                                         cptcovn++; /** V4+V3+V5: V4 and V3 timevarying dummy covariates, V5 timevarying quantitative */
+           cptcovn++; /** V4+V3+V5: V4 and V3 timevarying dummy covariates, V5 timevarying quantitative */
-                                         Tvar[k]=atoi(strd);
+           Tvar[k]=atoi(strd);
-                                         Typevar[k]=0;  /* 0 for simple covariates */
+           Typevar[k]=0;  /* 0 for simple covariates */
-                                 }
+         }
-                                 strcpy(modelsav,stra);  /* modelsav=V2+V1+V4 stra=V2+V1+V4 */
+         strcpy(modelsav,stra);  /* modelsav=V2+V1+V4 stra=V2+V1+V4 */
                                  /*printf("a=%s b=%s sav=%s\n", stra,strb,modelsav);
                                    scanf("%d",i);*/
        } /* end of loop + on total covariates */
- Line 8119  Dummy[k] 0=dummy (0 1), 1 quantitative (
+ Line 9914  Dummy[k] 0=dummy (0 1), 1 quantitative (
  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\
  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, ncovf=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 || Typevar[k]==2)){ /* Simple or product fixed dummy (<=ncovcol) covariates */
+     if (Tvar[k] <=ncovcol && Typevar[k]==0 ){ /* Simple fixed dummy (<=ncovcol) covariates */
+       Fixed[k]= 0;
+       Dummy[k]= 0;
+       ncoveff++;
+       ncovf++;
+       nsd++;
+       modell[k].maintype= FTYPE;
+       TvarsD[nsd]=Tvar[k];
+       TvarsDind[nsd]=k;
+       TvarF[ncovf]=Tvar[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 */
+       TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
+     }else if( Tvar[k] <=ncovcol &&  Typevar[k]==2){ /* Product of fixed dummy (<=ncovcol) covariates */
        Fixed[k]= 0;
        Dummy[k]= 0;
        ncoveff++;
        ncovf++;
-                         modell[k].maintype= FTYPE;
+       modell[k].maintype= FTYPE;
-                         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 */
        TvarFDind[ncoveff]=k; /* TvarFDind[1]=9 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
-     }else if( Tvar[k] <=ncovcol+nqv && Typevar[k]==0){ /* Remind that product Vn*Vm are added in k*/ /* Only simple fixed quantitative variable */
+     }else if( Tvar[k] <=ncovcol+nqv && Typevar[k]==0){/* Remind that product Vn*Vm are added in k Only simple fixed quantitative variable */
        Fixed[k]= 0;
        Dummy[k]= 1;
        nqfveff++;
-                         modell[k].maintype= FTYPE;
+       modell[k].maintype= FTYPE;
-                         modell[k].subtype= FQ;
+       modell[k].subtype= FQ;
+       nsq++;
+       TvarsQ[nsq]=Tvar[k];
+       TvarsQind[nsq]=k;
        ncovf++;
-                         TvarF[ncovf]=Tvar[k];
+       TvarF[ncovf]=Tvar[k];
-                         TvarFind[ncovf]=k;
+       TvarFind[ncovf]=k;
        TvarFQ[nqfveff]=Tvar[k]-ncovcol; /* TvarFQ[1]=V2-1=1st in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */
        TvarFQind[nqfveff]=k; /* TvarFQind[1]=6 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple fixed quantitative variable */
-     }else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){
+     }else if( Tvar[k] <=ncovcol+nqv+ntv && Typevar[k]==0){/* Only simple time varying dummy variables */
        Fixed[k]= 1;
        Dummy[k]= 0;
        ntveff++; /* Only simple time varying dummy variable */
-                         modell[k].maintype= VTYPE;
+       modell[k].maintype= VTYPE;
-                         modell[k].subtype= VD;
+       modell[k].subtype= VD;
-                         ncovv++; /* Only simple time varying variables */
+       nsd++;
-                         TvarV[ncovv]=Tvar[k];
+       TvarsD[nsd]=Tvar[k];
-                         TvarVind[ncovv]=k;
+       TvarsDind[nsd]=k;
+       ncovv++; /* Only simple time varying variables */
+       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 */
        TvarVD[ntveff]=Tvar[k]; /* TvarVD[1]=V4  TvarVD[2]=V3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying dummy variable */
        TvarVDind[ntveff]=k; /* TvarVDind[1]=2 TvarVDind[2]=3 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying dummy variable */
        printf("Quasi Tmodelind[%d]=%d,Tvar[Tmodelind[%d]]=V%d, ncovcol=%d, nqv=%d,Tvar[k]- ncovcol-nqv=%d\n",ntveff,k,ntveff,Tvar[k], ncovcol, nqv,Tvar[k]- ncovcol-nqv);
        printf("Quasi TmodelInvind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv);
      }else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv  && Typevar[k]==0){ /* Only simple time varying quantitative variable V5*/
-                         Fixed[k]= 1;
+       Fixed[k]= 1;
-                         Dummy[k]= 1;
+       Dummy[k]= 1;
-                         nqtveff++;
+       nqtveff++;
-                         modell[k].maintype= VTYPE;
+       modell[k].maintype= VTYPE;
-                         modell[k].subtype= VQ;
+       modell[k].subtype= VQ;
-                         ncovv++; /* Only simple time varying variables */
+       ncovv++; /* Only simple time varying variables */
-                         TvarV[ncovv]=Tvar[k];
+       nsq++;
-                         TvarVind[ncovv]=k;
+       TvarsQ[nsq]=Tvar[k];
+       TvarsQind[nsq]=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 */
        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 */
        TvarVQind[nqtveff]=k; /* TvarVQind[1]=1 in V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */ /* Only simple time varying quantitative variable */
-                         TmodelInvQind[nqtveff]=Tvar[k]- ncovcol-nqv-ntv;/* Only simple time varying quantitative variable */
+       TmodelInvQind[nqtveff]=Tvar[k]- ncovcol-nqv-ntv;/* Only simple time varying quantitative variable */
-                         /* Tmodeliqind[k]=nqtveff;/\* Only simple time varying quantitative variable *\/ */
+       /* Tmodeliqind[k]=nqtveff;/\* Only simple time varying quantitative variable *\/ */
-                         printf("Quasi TmodelQind[%d]=%d,Tvar[TmodelQind[%d]]=V%d, ncovcol=%d, nqv=%d, ntv=%d,Tvar[k]- ncovcol-nqv-ntv=%d\n",nqtveff,k,nqtveff,Tvar[k], ncovcol, nqv, ntv, Tvar[k]- ncovcol-nqv-ntv);
+       printf("Quasi TmodelQind[%d]=%d,Tvar[TmodelQind[%d]]=V%d, ncovcol=%d, nqv=%d, ntv=%d,Tvar[k]- ncovcol-nqv-ntv=%d\n",nqtveff,k,nqtveff,Tvar[k], ncovcol, nqv, ntv, Tvar[k]- ncovcol-nqv-ntv);
        printf("Quasi TmodelInvQind[%d]=%d\n",k,Tvar[k]- ncovcol-nqv-ntv);
      }else if (Typevar[k] == 1) {  /* product with age */
-                         ncova++;
+       ncova++;
-                         TvarA[ncova]=Tvar[k];
+       TvarA[ncova]=Tvar[k];
-                         TvarAind[ncova]=k;
+       TvarAind[ncova]=k;
        if (Tvar[k] <=ncovcol ){ /* Product age with fixed dummy covariatee */
-                                 Fixed[k]= 2;
+         Fixed[k]= 2;
-                                 Dummy[k]= 2;
+         Dummy[k]= 2;
-                                 modell[k].maintype= ATYPE;
+         modell[k].maintype= ATYPE;
-                                 modell[k].subtype= APFD;
+         modell[k].subtype= APFD;
-                                 /* ncoveff++; */
+         /* ncoveff++; */
        }else if( Tvar[k] <=ncovcol+nqv) { /* Remind that product Vn*Vm are added in k*/
-                                 Fixed[k]= 2;
+         Fixed[k]= 2;
-                                 Dummy[k]= 3;
+         Dummy[k]= 3;
-                                 modell[k].maintype= ATYPE;
+         modell[k].maintype= ATYPE;
-                                 modell[k].subtype= APFQ;                /*      Product age * fixed quantitative */
+         modell[k].subtype= APFQ;                /*      Product age * fixed quantitative */
-                                 /* nqfveff++;  /\* Only simple fixed quantitative variable *\/ */
+         /* nqfveff++;  /\* Only simple fixed quantitative variable *\/ */
        }else if( Tvar[k] <=ncovcol+nqv+ntv ){
-                                 Fixed[k]= 3;
+         Fixed[k]= 3;
-                                 Dummy[k]= 2;
+         Dummy[k]= 2;
-                                 modell[k].maintype= ATYPE;
+         modell[k].maintype= ATYPE;
-                                 modell[k].subtype= APVD;                /*      Product age * varying dummy */
+         modell[k].subtype= APVD;                /*      Product age * varying dummy */
-                                 /* ntveff++; /\* Only simple time varying dummy variable *\/ */
+         /* ntveff++; /\* Only simple time varying dummy variable *\/ */
        }else if( Tvar[k] <=ncovcol+nqv+ntv+nqtv){
-                                 Fixed[k]= 3;
+         Fixed[k]= 3;
-                                 Dummy[k]= 3;
+         Dummy[k]= 3;
-                                 modell[k].maintype= ATYPE;
+         modell[k].maintype= ATYPE;
-                                 modell[k].subtype= APVQ;                /*      Product age * varying quantitative */
+         modell[k].subtype= APVQ;                /*      Product age * varying quantitative */
-                                 /* nqtveff++;/\* Only simple time varying quantitative variable *\/ */
+         /* nqtveff++;/\* Only simple time varying quantitative variable *\/ */
        }
      }else if (Typevar[k] == 2) {  /* product without age */
        k1=Tposprod[k];
        if(Tvard[k1][1] <=ncovcol){
-                                 if(Tvard[k1][2] <=ncovcol){
+         if(Tvard[k1][2] <=ncovcol){
-                                         Fixed[k]= 1;
+           Fixed[k]= 1;
-                                         Dummy[k]= 0;
+           Dummy[k]= 0;
-                                         modell[k].maintype= FTYPE;
+           modell[k].maintype= FTYPE;
-                                         modell[k].subtype= FPDD;                /*      Product fixed dummy * fixed dummy */
+           modell[k].subtype= FPDD;              /*      Product fixed dummy * fixed dummy */
-                                         ncovf++; /* Fixed variables without age */
+           ncovf++; /* Fixed variables without age */
-                                         TvarF[ncovf]=Tvar[k];
+           TvarF[ncovf]=Tvar[k];
-                                         TvarFind[ncovf]=k;
+           TvarFind[ncovf]=k;
-                                 }else if(Tvard[k1][2] <=ncovcol+nqv){
+         }else if(Tvard[k1][2] <=ncovcol+nqv){
-                                         Fixed[k]= 0;  /* or 2 ?*/
+           Fixed[k]= 0;  /* or 2 ?*/
-                                         Dummy[k]= 1;
+           Dummy[k]= 1;
-                                         modell[k].maintype= FTYPE;
+           modell[k].maintype= FTYPE;
-                                         modell[k].subtype= FPDQ;                /*      Product fixed dummy * fixed quantitative */
+           modell[k].subtype= FPDQ;              /*      Product fixed dummy * fixed quantitative */
-                                         ncovf++; /* Varying variables without age */
+           ncovf++; /* Varying variables without age */
-                                         TvarF[ncovf]=Tvar[k];
+           TvarF[ncovf]=Tvar[k];
-                                         TvarFind[ncovf]=k;
+           TvarFind[ncovf]=k;
-                                 }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){
+         }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){
-                                         Fixed[k]= 1;
+           Fixed[k]= 1;
-                                         Dummy[k]= 0;
+           Dummy[k]= 0;
-                                         modell[k].maintype= VTYPE;
+           modell[k].maintype= VTYPE;
-                                         modell[k].subtype= VPDD;                /*      Product fixed dummy * varying dummy */
+           modell[k].subtype= VPDD;              /*      Product fixed dummy * varying dummy */
-                                         ncovv++; /* Varying variables without age */
+           ncovv++; /* Varying variables without age */
-                                         TvarV[ncovv]=Tvar[k];
+           TvarV[ncovv]=Tvar[k];
-                                         TvarVind[ncovv]=k;
+           TvarVind[ncovv]=k;
-                                 }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){
+         }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){
-                                         Fixed[k]= 1;
+           Fixed[k]= 1;
-                                         Dummy[k]= 1;
+           Dummy[k]= 1;
-                                         modell[k].maintype= VTYPE;
+           modell[k].maintype= VTYPE;
-                                         modell[k].subtype= VPDQ;                /*      Product fixed dummy * varying quantitative */
+           modell[k].subtype= VPDQ;              /*      Product fixed dummy * varying quantitative */
-                                         ncovv++; /* Varying variables without age */
+           ncovv++; /* Varying variables without age */
-                                         TvarV[ncovv]=Tvar[k];
+           TvarV[ncovv]=Tvar[k];
-                                         TvarVind[ncovv]=k;
+           TvarVind[ncovv]=k;
-                                 }
+         }
        }else if(Tvard[k1][1] <=ncovcol+nqv){
-                                 if(Tvard[k1][2] <=ncovcol){
+         if(Tvard[k1][2] <=ncovcol){
-                                         Fixed[k]= 0;  /* or 2 ?*/
+           Fixed[k]= 0;  /* or 2 ?*/
-                                         Dummy[k]= 1;
+           Dummy[k]= 1;
-                                         modell[k].maintype= FTYPE;
+           modell[k].maintype= FTYPE;
-                                         modell[k].subtype= FPDQ;                /*      Product fixed quantitative * fixed dummy */
+           modell[k].subtype= FPDQ;              /*      Product fixed quantitative * fixed dummy */
-                                         ncovf++; /* Fixed variables without age */
+           ncovf++; /* Fixed variables without age */
-                                         TvarF[ncovf]=Tvar[k];
+           TvarF[ncovf]=Tvar[k];
-                                         TvarFind[ncovf]=k;
+           TvarFind[ncovf]=k;
-                                 }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){
+         }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){
-                                         Fixed[k]= 1;
+           Fixed[k]= 1;
-                                         Dummy[k]= 1;
+           Dummy[k]= 1;
-                                         modell[k].maintype= VTYPE;
+           modell[k].maintype= VTYPE;
-                                         modell[k].subtype= VPDQ;                /*      Product fixed quantitative * varying dummy */
+           modell[k].subtype= VPDQ;              /*      Product fixed quantitative * varying dummy */
-                                         ncovv++; /* Varying variables without age */
+           ncovv++; /* Varying variables without age */
-                                         TvarV[ncovv]=Tvar[k];
+           TvarV[ncovv]=Tvar[k];
-                                         TvarVind[ncovv]=k;
+           TvarVind[ncovv]=k;
-                                 }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){
+         }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){
-                                         Fixed[k]= 1;
+           Fixed[k]= 1;
-                                         Dummy[k]= 1;
+           Dummy[k]= 1;
-                                         modell[k].maintype= VTYPE;
+           modell[k].maintype= VTYPE;
-                                         modell[k].subtype= VPQQ;                /*      Product fixed quantitative * varying quantitative */
+           modell[k].subtype= VPQQ;              /*      Product fixed quantitative * varying quantitative */
-                                         ncovv++; /* Varying variables without age */
+           ncovv++; /* Varying variables without age */
-                                         TvarV[ncovv]=Tvar[k];
+           TvarV[ncovv]=Tvar[k];
-                                         TvarVind[ncovv]=k;
+           TvarVind[ncovv]=k;
-                                         ncovv++; /* Varying variables without age */
+           ncovv++; /* Varying variables without age */
-                                         TvarV[ncovv]=Tvar[k];
+           TvarV[ncovv]=Tvar[k];
-                                         TvarVind[ncovv]=k;
+           TvarVind[ncovv]=k;
-                                 }
+         }
        }else if(Tvard[k1][1] <=ncovcol+nqv+ntv){
-                                 if(Tvard[k1][2] <=ncovcol){
+         if(Tvard[k1][2] <=ncovcol){
-                                         Fixed[k]= 1;
+           Fixed[k]= 1;
-                                         Dummy[k]= 1;
+           Dummy[k]= 1;
-                                         modell[k].maintype= VTYPE;
+           modell[k].maintype= VTYPE;
-                                         modell[k].subtype= VPDD;                /*      Product time varying dummy * fixed dummy */
+           modell[k].subtype= VPDD;              /*      Product time varying dummy * fixed dummy */
-                                         ncovv++; /* Varying variables without age */
+           ncovv++; /* Varying variables without age */
-                                         TvarV[ncovv]=Tvar[k];
+           TvarV[ncovv]=Tvar[k];
-                                         TvarVind[ncovv]=k;
+           TvarVind[ncovv]=k;
-                                 }else if(Tvard[k1][2] <=ncovcol+nqv){
+         }else if(Tvard[k1][2] <=ncovcol+nqv){
-                                         Fixed[k]= 1;
+           Fixed[k]= 1;
-                                         Dummy[k]= 1;
+           Dummy[k]= 1;
-                                         modell[k].maintype= VTYPE;
+           modell[k].maintype= VTYPE;
-                                         modell[k].subtype= VPDQ;                /*      Product time varying dummy * fixed quantitative */
+           modell[k].subtype= VPDQ;              /*      Product time varying dummy * fixed quantitative */
-                                         ncovv++; /* Varying variables without age */
+           ncovv++; /* Varying variables without age */
-                                         TvarV[ncovv]=Tvar[k];
+           TvarV[ncovv]=Tvar[k];
-                                         TvarVind[ncovv]=k;
+           TvarVind[ncovv]=k;
-                                 }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){
+         }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){
-                                         Fixed[k]= 1;
+           Fixed[k]= 1;
-                                         Dummy[k]= 0;
+           Dummy[k]= 0;
-                                         modell[k].maintype= VTYPE;
+           modell[k].maintype= VTYPE;
-                                         modell[k].subtype= VPDD;                /*      Product time varying dummy * time varying dummy */
+           modell[k].subtype= VPDD;              /*      Product time varying dummy * time varying dummy */
-                                         ncovv++; /* Varying variables without age */
+           ncovv++; /* Varying variables without age */
-                                         TvarV[ncovv]=Tvar[k];
+           TvarV[ncovv]=Tvar[k];
-                                         TvarVind[ncovv]=k;
+           TvarVind[ncovv]=k;
-                                 }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){
+         }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){
-                                         Fixed[k]= 1;
+           Fixed[k]= 1;
-                                         Dummy[k]= 1;
+           Dummy[k]= 1;
-                                         modell[k].maintype= VTYPE;
+           modell[k].maintype= VTYPE;
-                                         modell[k].subtype= VPDQ;                /*      Product time varying dummy * time varying quantitative */
+           modell[k].subtype= VPDQ;              /*      Product time varying dummy * time varying quantitative */
-                                         ncovv++; /* Varying variables without age */
+           ncovv++; /* Varying variables without age */
-                                         TvarV[ncovv]=Tvar[k];
+           TvarV[ncovv]=Tvar[k];
-                                         TvarVind[ncovv]=k;
+           TvarVind[ncovv]=k;
-                                 }
+         }
        }else if(Tvard[k1][1] <=ncovcol+nqv+ntv+nqtv){
-                                 if(Tvard[k1][2] <=ncovcol){
+         if(Tvard[k1][2] <=ncovcol){
-                                         Fixed[k]= 1;
+           Fixed[k]= 1;
-                                         Dummy[k]= 1;
+           Dummy[k]= 1;
-                                         modell[k].maintype= VTYPE;
+           modell[k].maintype= VTYPE;
-                                         modell[k].subtype= VPDQ;                /*      Product time varying quantitative * fixed dummy */
+           modell[k].subtype= VPDQ;              /*      Product time varying quantitative * fixed dummy */
-                                         ncovv++; /* Varying variables without age */
+           ncovv++; /* Varying variables without age */
-                                         TvarV[ncovv]=Tvar[k];
+           TvarV[ncovv]=Tvar[k];
-                                         TvarVind[ncovv]=k;
+           TvarVind[ncovv]=k;
-                                 }else if(Tvard[k1][2] <=ncovcol+nqv){
+         }else if(Tvard[k1][2] <=ncovcol+nqv){
-                                         Fixed[k]= 1;
+           Fixed[k]= 1;
-                                         Dummy[k]= 1;
+           Dummy[k]= 1;
-                                         modell[k].maintype= VTYPE;
+           modell[k].maintype= VTYPE;
-                                         modell[k].subtype= VPQQ;                /*      Product time varying quantitative * fixed quantitative */
+           modell[k].subtype= VPQQ;              /*      Product time varying quantitative * fixed quantitative */
-                                         ncovv++; /* Varying variables without age */
+           ncovv++; /* Varying variables without age */
-                                         TvarV[ncovv]=Tvar[k];
+           TvarV[ncovv]=Tvar[k];
-                                         TvarVind[ncovv]=k;
+           TvarVind[ncovv]=k;
-                                 }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){
+         }else if(Tvard[k1][2] <=ncovcol+nqv+ntv){
-                                         Fixed[k]= 1;
+           Fixed[k]= 1;
-                                         Dummy[k]= 1;
+           Dummy[k]= 1;
-                                         modell[k].maintype= VTYPE;
+           modell[k].maintype= VTYPE;
-                                         modell[k].subtype= VPDQ;                /*      Product time varying quantitative * time varying dummy */
+           modell[k].subtype= VPDQ;              /*      Product time varying quantitative * time varying dummy */
-                                         ncovv++; /* Varying variables without age */
+           ncovv++; /* Varying variables without age */
-                                         TvarV[ncovv]=Tvar[k];
+           TvarV[ncovv]=Tvar[k];
-                                         TvarVind[ncovv]=k;
+           TvarVind[ncovv]=k;
-                                 }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){
+         }else if(Tvard[k1][2] <=ncovcol+nqv+ntv+nqtv){
-                                         Fixed[k]= 1;
+           Fixed[k]= 1;
-                                         Dummy[k]= 1;
+           Dummy[k]= 1;
-                                         modell[k].maintype= VTYPE;
+           modell[k].maintype= VTYPE;
-                                         modell[k].subtype= VPQQ;                /*      Product time varying quantitative * time varying quantitative */
+           modell[k].subtype= VPQQ;              /*      Product time varying quantitative * time varying quantitative */
-                                         ncovv++; /* Varying variables without age */
+           ncovv++; /* Varying variables without age */
-                                         TvarV[ncovv]=Tvar[k];
+           TvarV[ncovv]=Tvar[k];
-                                         TvarVind[ncovv]=k;
+           TvarVind[ncovv]=k;
-                                 }
+         }
        }else{
-                                 printf("Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]);
+         printf("Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]);
-                                 fprintf(ficlog,"Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]);
+         fprintf(ficlog,"Error unknown type of covariate: Tvard[%d][1]=%d,Tvard[%d][2]=%d\n",k1,Tvard[k1][1],k1,Tvard[k1][2]);
-       } /* end k1 */
+       } /*end k1*/
      }else{
        printf("Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]);
        fprintf(ficlog,"Error, current version can't treat for performance reasons, Tvar[%d]=%d, Typevar[%d]=%d\n", k, Tvar[k], k, Typevar[k]);
- Line 8347  Dummy[k] 0=dummy (0 1), 1 quantitative (
+ Line 10164  Dummy[k] 0=dummy (0 1), 1 quantitative (
    /* Searching for doublons in the model */
    for(k1=1; k1<= cptcovt;k1++){
      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] == 0 || Typevar[k1] == 1)){ /* Simple or age product */
+       if((Typevar[k1]==Typevar[k2]) && (Fixed[k1]==Fixed[k2]) && (Dummy[k1]==Dummy[k2] )){
-                                         if(Tvar[k1]==Tvar[k2]){
+         if((Typevar[k1] == 0 || Typevar[k1] == 1)){ /* Simple or age product */
-                                                 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]]);
+           if(Tvar[k1]==Tvar[k2]){
-                                                 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);
+             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]);
-                                                 return(1);
+             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);
-                                 }else if (Typevar[k1] ==2){
+           }
-                                         k3=Tposprod[k1];
+         }else if (Typevar[k1] ==2){
-                                         k4=Tposprod[k2];
+           k3=Tposprod[k1];
-                                         if( ((Tvard[k3][1]== Tvard[k4][1])&&(Tvard[k3][2]== Tvard[k4][2])) || ((Tvard[k3][1]== Tvard[k4][2])&&(Tvard[k3][2]== Tvard[k4][1])) ){
+           k4=Tposprod[k2];
-                                                 printf("Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]);
+           if( ((Tvard[k3][1]== Tvard[k4][1])&&(Tvard[k3][2]== Tvard[k4][2])) || ((Tvard[k3][1]== Tvard[k4][2])&&(Tvard[k3][2]== Tvard[k4][1])) ){
-                                                 fprintf(ficlog,"Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); fflush(ficlog);
+             printf("Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]);
-                                                 return(1);
+             fprintf(ficlog,"Error duplication in the model=%s at positions (+) %d and %d, V%d*V%d, Typevar=%d, Fixed=%d, Dummy=%d\n",model, k1,k2, Tvard[k3][1], Tvard[k3][2],Typevar[k1],Fixed[Tvar[k1]],Dummy[Tvar[k1]]); fflush(ficlog);
-                                         }
+             return(1);
-                                 }
+           }
+         }
        }
      }
    }
    printf("ncoveff=%d, nqfveff=%d, ntveff=%d, nqtveff=%d, cptcovn=%d\n",ncoveff,nqfveff,ntveff,nqtveff,cptcovn);
    fprintf(ficlog,"ncoveff=%d, nqfveff=%d, ntveff=%d, nqtveff=%d, cptcovn=%d\n",ncoveff,nqfveff,ntveff,nqtveff,cptcovn);
-   printf("ncovf=%d, ncovv=%d, ncova=%d\n",ncovf,ncovv,ncova);
+   printf("ncovf=%d, ncovv=%d, ncova=%d, nsd=%d, nsq=%d\n",ncovf,ncovv,ncova,nsd,nsq);
-   fprintf(ficlog,"ncovf=%d, ncovv=%d, ncova=%d\n",ncovf,ncovv,ncova);
+   fprintf(ficlog,"ncovf=%d, ncovv=%d, ncova=%d, nsd=%d, nsq=%d\n",ncovf,ncovv,ncova,nsd, nsq);
    return (0); /* with covar[new additional covariate if product] and Tage if age */
    /*endread:*/
    printf("Exiting decodemodel: ");
- Line 8377  Dummy[k] 0=dummy (0 1), 1 quantitative (
+ Line 10195  Dummy[k] 0=dummy (0 1), 1 quantitative (
  }
  int calandcheckages(int imx, int maxwav, double *agemin, double *agemax, int *nberr, int *nbwarn )
- {
+ {/* Check ages at death */
    int i, m;
    int firstone=0;
- Line 8392  int calandcheckages(int imx, int maxwav,
+ Line 10210  int calandcheckages(int imx, int maxwav,
          *nberr = *nberr + 1;
          if(firstone == 0){
            firstone=1;
-         printf("Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results can be biased (%d) because status is a death state %d at wave %d. Wave dropped.\nOther similar cases in log file\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr,s[m][i],m);
+         printf("Warning (#%d)! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown but status is a death state %d at wave %d. If you don't know the vital status, please enter -2. If he/she is still alive but don't know the state, please code with '-1 or '.'. Here, we do not believe in a death, skipped.\nOther similar cases in log file\n", *nberr,(int)moisdc[i],(int)andc[i],num[i],i,s[m][i],m);
          }
-         fprintf(ficlog,"Error! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown, you must set an arbitrary year of death or he/she is skipped and results can be biased (%d) because status is a death state %d at wave %d. Wave dropped.\n",(int)moisdc[i],(int)andc[i],num[i],i, *nberr,s[m][i],m);
+         fprintf(ficlog,"Warning (#%d)! Date of death (month %2d and year %4d) of individual %ld on line %d was unknown but status is a death state %d at wave %d. If you don't know the vital status, please enter -2. If he/she is still alive but don't know the state, please code with '-1 or '.'. Here, we do not believe in a death, skipped.\n", *nberr,(int)moisdc[i],(int)andc[i],num[i],i,s[m][i],m);
-         s[m][i]=-1;
+         s[m][i]=-1;  /* Droping the death status */
        }
        if((int)moisdc[i]==99 && (int)andc[i]!=9999 && s[m][i]>nlstate){
          (*nberr)++;
-         printf("Error! Month of death of individual %ld on line %d was unknown %2d, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,(int)moisdc[i]);
+         printf("Error (#%d)! Month of death of individual %ld on line %d was unknown (%2d) (year of death is %4d) and status is a death state %d at wave %d. Please impute an arbitrary (or not) month and rerun. Currently this transition to death will be skipped (status is set to -2).\nOther similar cases in log file\n", *nberr, num[i],i,(int)moisdc[i],(int)andc[i],s[m][i],m);
-         fprintf(ficlog,"Error! Month of death of individual %ld on line %d was unknown %f, you should set it otherwise the information on the death is skipped and results are biased.\n",num[i],i,moisdc[i]);
+         fprintf(ficlog,"Error (#%d)! Month of death of individual %ld on line %d was unknown (%2d) (year of death is %4d) and status is a death state %d at wave %d. Please impute an arbitrary (or not) month and rerun. Currently this transition to death will be skipped (status is set to -2).\n", *nberr, num[i],i,(int)moisdc[i],(int)andc[i],s[m][i],m);
-         s[m][i]=-1; /* We prefer to skip it (and to skip it in version 0.8a1 too */
+         s[m][i]=-2; /* We prefer to skip it (and to skip it in version 0.8a1 too */
        }
      }
    }
- Line 8523  BOOL IsWow64()
+ Line 10341  BOOL IsWow64()
  #endif
  void syscompilerinfo(int logged)
-  {
+ {
-    /* #include "syscompilerinfo.h"*/
+ #include <stdint.h>
+   /* #include "syscompilerinfo.h"*/
     /* command line Intel compiler 32bit windows, XP compatible:*/
     /* /GS /W3 /Gy
        /Zc:wchar_t /Zi /O2 /Fd"Release\vc120.pdb" /D "WIN32" /D "NDEBUG" /D
- Line 8559  void syscompilerinfo(int logged)
+ Line 10379  void syscompilerinfo(int logged)
        /ManifestFile:"Release\IMaCh.exe.intermediate.manifest" /OPT:ICF
        /NOLOGO /TLBID:1
     */
  #if defined __INTEL_COMPILER
  #if defined(__GNUC__)
          struct utsname sysInfo;  /* For Intel on Linux and OS/X */
- Line 8575  void syscompilerinfo(int logged)
+ Line 10397  void syscompilerinfo(int logged)
     }
  #endif
- #include <stdint.h>
     printf("Compiled with:");if(logged)fprintf(ficlog,"Compiled with:");
  #if defined(__clang__)
     printf(" Clang/LLVM");if(logged)fprintf(ficlog," Clang/LLVM");       /* Clang/LLVM. ---------------------------------------------- */
- Line 8662  void syscompilerinfo(int logged)
+ Line 10482  void syscompilerinfo(int logged)
  #endif
  #endif
-    //   void main()
+    //   void main ()
     //   {
  #if defined(_MSC_VER)
     if (IsWow64()){
- Line 8683  void syscompilerinfo(int logged)
+ Line 10503  void syscompilerinfo(int logged)
  }
  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) --------------*/
-   int i, j, k, i1 ;
+   int i, j, k, i1, k4=0, nres=0 ;
    /* double ftolpl = 1.e-10; */
    double age, agebase, agelim;
    double tot;
- Line 8692  int prevalence_limit(double *p, double *
+ Line 10512  int prevalence_limit(double *p, double *
    strcpy(filerespl,"PL_");
    strcat(filerespl,fileresu);
    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);
-   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 ");
    for(i=1; i<=nlstate;i++) fprintf(ficrespl,"%d-%d ",i,i);
    fprintf(ficrespl,"\n");
- Line 8709  int prevalence_limit(double *p, double *
+ Line 10529  int prevalence_limit(double *p, double *
    agelim=agemaxpar;
    /* i1=pow(2,ncoveff); */
-   i1=pow(2,cptcoveff); /* Number of dummy covariates */
+   i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */
    if (cptcovn < 1){i1=1;}
-   for(k=1; k<=i1;k++){
+   for(k=1; k<=i1;k++){ /* For each combination k of dummy covariates in the model */
-   /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */
+     for(nres=1; nres <= nresult; nres++){ /* For each resultline */
-     /* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */
+       if(i1 != 1 && TKresult[nres]!= k)
-     //for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
+         continue;
-     /* k=k+1; */
-     /* to clean */
-     //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));
-     fprintf(ficrespl,"#******");
-     printf("#******");
-     fprintf(ficlog,"#******");
-     for(j=1;j<=cptcoveff ;j++) {/* all covariates */
-       fprintf(ficrespl," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); /* Here problem for varying dummy*/
-       printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
-       fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
-     }
-     fprintf(ficrespl,"******\n");
-     printf("******\n");
-     fprintf(ficlog,"******\n");
-     if(invalidvarcomb[k]){
-       printf("\nCombination (%d) ignored because no case \n",k);
-       fprintf(ficrespl,"#Combination (%d) ignored because no case \n",k);
-       fprintf(ficlog,"\nCombination (%d) ignored because no case \n",k);
-                                                 continue;
-     }
-     fprintf(ficrespl,"#Age ");
+       /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */
-     for(j=1;j<=cptcoveff;j++) {
+       /* for(cptcov=1,k=0;cptcov<=1;cptcov++){ */
-       fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+       //for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){
-     }
+       /* k=k+1; */
-     for(i=1; i<=nlstate;i++) fprintf(ficrespl,"  %d-%d   ",i,i);
+       /* to clean */
-     fprintf(ficrespl,"Total Years_to_converge\n");
+       //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));
+       fprintf(ficrespl,"#******");
+       printf("#******");
+       fprintf(ficlog,"#******");
+       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*/
+         printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+         fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+       }
+       for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
+         printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+         fprintf(ficrespl," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+         fprintf(ficlog," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+       }
+       fprintf(ficrespl,"******\n");
+       printf("******\n");
+       fprintf(ficlog,"******\n");
+       if(invalidvarcomb[k]){
+         printf("\nCombination (%d) ignored because no case \n",k);
+         fprintf(ficrespl,"#Combination (%d) ignored because no case \n",k);
+         fprintf(ficlog,"\nCombination (%d) ignored because no case \n",k);
+         continue;
+       }
+       fprintf(ficrespl,"#Age ");
+       for(j=1;j<=cptcoveff;j++) {
+         fprintf(ficrespl,"V%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+       }
+       for(i=1; i<=nlstate;i++) fprintf(ficrespl,"  %d-%d   ",i,i);
+       fprintf(ficrespl,"Total Years_to_converge\n");
-     for (age=agebase; age<=agelim; age++){
+       for (age=agebase; age<=agelim; age++){
-       /* for (age=agebase; age<=agebase; age++){ */
+         /* for (age=agebase; age<=agebase; age++){ */
-       prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, ncvyearp, k);
+         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,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];
-         fprintf(ficrespl," %.5f", prlim[i][i]);
+           fprintf(ficrespl," %.5f", prlim[i][i]);
-       }
+         }
-       fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp);
+         fprintf(ficrespl," %.3f %d\n", tot, *ncvyearp);
-     } /* Age */
+       } /* Age */
-     /* was end of cptcod */
+       /* was end of cptcod */
-   } /* cptcov */
+     } /* cptcov */
+   } /* nres */
    return 0;
  }
  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
     * at any age between ageminpar and agemaxpar
           */
-   int i, j, k, i1 ;
+   int i, j, k, i1, nres=0 ;
    /* double ftolpl = 1.e-10; */
    double age, agebase, agelim;
    double tot;
- Line 8778  int back_prevalence_limit(double *p, dou
+ Line 10608  int back_prevalence_limit(double *p, dou
    strcpy(fileresplb,"PLB_");
    strcat(fileresplb,fileresu);
    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);
-   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 ");
    for(i=1; i<=nlstate;i++) fprintf(ficresplb,"%d-%d ",i,i);
    fprintf(ficresplb,"\n");
- Line 8799  int back_prevalence_limit(double *p, dou
+ Line 10629  int back_prevalence_limit(double *p, dou
    i1=pow(2,cptcoveff);
    if (cptcovn < 1){i1=1;}
-   for(k=1; k<=i1;k++){
+   for(nres=1; nres <= nresult; nres++){ /* For each resultline */
-     //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));
+     for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */
-     fprintf(ficresplb,"#******");
+      if(i1 != 1 && TKresult[nres]!= k)
-     printf("#******");
+         continue;
-     fprintf(ficlog,"#******");
+       //printf("cptcov=%d cptcod=%d codtab=%d\n",cptcov, cptcod,codtabm(cptcod,cptcov));
-     for(j=1;j<=cptcoveff ;j++) {/* all covariates */
+       fprintf(ficresplb,"#******");
-       fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+       printf("#******");
-       printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+       fprintf(ficlog,"#******");
-       fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+       for(j=1;j<=cptcoveff ;j++) {/* all covariates */
-     }
+         fprintf(ficresplb," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
-     fprintf(ficresplb,"******\n");
+         printf(" V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
-     printf("******\n");
+         fprintf(ficlog," V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
-     fprintf(ficlog,"******\n");
+       }
-     if(invalidvarcomb[k]){
+       for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */
-       printf("\nCombination (%d) ignored because no cases \n",k);
+         printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
-       fprintf(ficresplb,"#Combination (%d) ignored because no cases \n",k);
+         fprintf(ficresplb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
-       fprintf(ficlog,"\nCombination (%d) ignored because no cases \n",k);
+         fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
-       continue;
+       }
-     }
+       fprintf(ficresplb,"******\n");
+       printf("******\n");
+       fprintf(ficlog,"******\n");
+       if(invalidvarcomb[k]){
+         printf("\nCombination (%d) ignored because no cases \n",k);
+         fprintf(ficresplb,"#Combination (%d) ignored because no cases \n",k);
+         fprintf(ficlog,"\nCombination (%d) ignored because no cases \n",k);
+         continue;
+       }
-     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,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");
-     for (age=agebase; age<=agelim; age++){
+       for (age=agebase; age<=agelim; age++){
-       /* for (age=agebase; age<=agebase; age++){ */
+         /* for (age=agebase; age<=agebase; age++){ */
-       if(mobilavproj > 0){
+         if(mobilavproj > 0){
-         /* bprevalim(bprlim, mobaverage, nlstate, p, age, ageminpar, agemaxpar, oldm, savm, doldm, dsavm, ftolpl, ncvyearp, k); */
+           /* bprevalim(bprlim, mobaverage, nlstate, p, age, ageminpar, agemaxpar, oldm, savm, doldm, dsavm, ftolpl, ncvyearp, k); */
-         /* bprevalim(bprlim, mobaverage, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */
+           /* bprevalim(bprlim, mobaverage, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */
-         bprevalim(bprlim, mobaverage, nlstate, p, age, ftolpl, ncvyearp, k);
+           bprevalim(bprlim, mobaverage, nlstate, p, age, ftolpl, ncvyearp, k, nres);
-       }else if (mobilavproj == 0){
+         }else if (mobilavproj == 0){
-         printf("There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj);
+           printf("There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj);
-         fprintf(ficlog,"There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj);
+           fprintf(ficlog,"There is no chance to get back prevalence limit if data aren't non zero and summing to 1, please try a non null mobil_average(=%d) parameter or mobil_average=-1 if you want to try at your own risk.\n",mobilavproj);
-         exit(1);
+           exit(1);
-       }else{
+         }else{
-         /* bprevalim(bprlim, probs, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */
+           /* bprevalim(bprlim, probs, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */
-         bprevalim(bprlim, probs, nlstate, p, age, ftolpl, ncvyearp, k);
+           bprevalim(bprlim, probs, nlstate, p, age, ftolpl, ncvyearp, k,nres);
-       }
+           /* printf("TOTOT\n"); */
-       fprintf(ficresplb,"%.0f ",age );
+           /* exit(1); */
-       for(j=1;j<=cptcoveff;j++)
+         }
-         fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+         fprintf(ficresplb,"%.0f ",age );
-       tot=0.;
+         for(j=1;j<=cptcoveff;j++)
-       for(i=1; i<=nlstate;i++){
+           fprintf(ficresplb,"%d %d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
-         tot +=  bprlim[i][i];
+         tot=0.;
-         fprintf(ficresplb," %.5f", bprlim[i][i]);
+         for(i=1; i<=nlstate;i++){
-       }
+           tot +=  bprlim[i][i];
-       fprintf(ficresplb," %.3f %d\n", tot, *ncvyearp);
+           fprintf(ficresplb," %.5f", bprlim[i][i]);
-     } /* Age */
+         }
-     /* was end of cptcod */
+         fprintf(ficresplb," %.3f %d\n", tot, *ncvyearp);
-   } /* cptcov */
+       } /* Age */
+       /* was end of cptcod */
+       /*fprintf(ficresplb,"\n");*/ /* Seems to be necessary for gnuplot only if two result lines and no covariate. */
+     } /* end of any combination */
+   } /* end of nres */
    /* hBijx(p, bage, fage); */
    /* fclose(ficrespijb); */
- Line 8867  int hPijx(double *p, int bage, int fage)
+ Line 10708  int hPijx(double *p, int bage, int fage)
    int agelim;
    int hstepm;
    int nhstepm;
-   int h, i, i1, j, k;
+   int h, i, i1, j, k, k4, nres=0;
    double agedeb;
    double ***p3mat;
- Line 8894  int hPijx(double *p, int bage, int fage)
+ Line 10735  int hPijx(double *p, int bage, int fage)
                  /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */
                  /*    /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */
                  /*      k=k+1;  */
-     for (k=1; k <= (int) pow(2,cptcoveff); k++){
+     for(nres=1; nres <= nresult; nres++) /* For each resultline */
+     for(k=1; k<=i1;k++){
+       if(i1 != 1 && TKresult[nres]!= k)
+         continue;
        fprintf(ficrespij,"\n#****** ");
        for(j=1;j<=cptcoveff;j++)
          fprintf(ficrespij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+       for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
+         printf(" V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+         fprintf(ficrespij," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+       }
        fprintf(ficrespij,"******\n");
        for (agedeb=fage; agedeb>=bage; agedeb--){ /* If stepm=6 months */
- Line 8908  int hPijx(double *p, int bage, int fage)
+ Line 10756  int hPijx(double *p, int bage, int fage)
          p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
          oldm=oldms;savm=savms;
-         hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);
+         hpxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k, nres);
          fprintf(ficrespij,"# Cov Agex agex+h hpijx with i,j=");
          for(i=1; i<=nlstate;i++)
            for(j=1; j<=nlstate+ndeath;j++)
- Line 8938  int hPijx(double *p, int bage, int fage)
+ Line 10786  int hPijx(double *p, int bage, int fage)
          int ageminl;
    int hstepm;
    int nhstepm;
-   int h, i, i1, j, k;
+   int h, i, i1, j, k, nres;
    double agedeb;
    double ***p3mat;
- Line 8955  int hPijx(double *p, int bage, int fage)
+ Line 10803  int hPijx(double *p, int bage, int fage)
    /*if (stepm<=24) stepsize=2;*/
    /* agelim=AGESUP; */
-   ageminl=30;
+   ageminl=AGEINF; /* was 30 */
    hstepm=stepsize*YEARM; /* Every year of age */
    hstepm=hstepm/stepm; /* Typically 2 years, = 2/6 months = 4 */
    /* hstepm=1;   aff par mois*/
    pstamp(ficrespijb);
-   fprintf(ficrespijb,"#****** h Pij x Back Probability to be in state i at age x-h being in j at x ");
+   fprintf(ficrespijb,"#****** h Bij x Back probability to be in state i at age x-h being in j at x: B1j+B2j+...=1 ");
    i1= pow(2,cptcoveff);
    /* for(cptcov=1,k=0;cptcov<=i1;cptcov++){ */
    /*    /\*for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*\/ */
    /*    k=k+1;  */
-   for (k=1; k <= (int) pow(2,cptcoveff); k++){
+   for(nres=1; nres <= nresult; nres++){ /* For each resultline */
-     fprintf(ficrespijb,"\n#****** ");
+     for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */
-     for(j=1;j<=cptcoveff;j++)
+       if(i1 != 1 && TKresult[nres]!= k)
-       fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+         continue;
-     fprintf(ficrespijb,"******\n");
+       fprintf(ficrespijb,"\n#****** ");
-     if(invalidvarcomb[k]){
+       for(j=1;j<=cptcoveff;j++)
-       fprintf(ficrespijb,"\n#Combination (%d) ignored because no cases \n",k);
+         fprintf(ficrespijb,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
-       continue;
+       for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */
-     }
+         fprintf(ficrespijb," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
+       }
-     /* for (agedeb=fage; agedeb>=bage; agedeb--){ /\* If stepm=6 months *\/ */
+       fprintf(ficrespijb,"******\n");
-     for (agedeb=bage; agedeb<=fage; agedeb++){ /* If stepm=6 months and estepm=24 (2 years) */
+       if(invalidvarcomb[k]){  /* Is it necessary here? */
-       /* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /\* Typically 20 years = 20*12/6=40 *\/ */
+         fprintf(ficrespijb,"\n#Combination (%d) ignored because no cases \n",k);
-       nhstepm=(int) rint((agedeb-ageminl)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */
+         continue;
-       nhstepm = nhstepm/hstepm; /* Typically 40/4=10, because estepm=24 stepm=6 => hstepm=24/6=4 */
+       }
-       /*          nhstepm=nhstepm*YEARM; aff par mois*/
+       /* 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) */
-       p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+         /* nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); /\* Typically 20 years = 20*12/6=40 *\/ */
-       /* oldm=oldms;savm=savms; */
+         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 */
-       /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);   */
+         nhstepm = nhstepm/hstepm; /* Typically 40/4=10, because estepm=24 stepm=6 => hstepm=24/6=4 or 28*/
-       hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k);
-       /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm, dnewm, doldm, dsavm, k); */
+         /*        nhstepm=nhstepm*YEARM; aff par mois*/
-       fprintf(ficrespijb,"# Cov Agex agex-h hpijx with i,j=");
-       for(i=1; i<=nlstate;i++)
+         p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); /* We can't have it at an upper level because of nhstepm */
-         for(j=1; j<=nlstate+ndeath;j++)
+         /* and memory limitations if stepm is small */
-           fprintf(ficrespijb," %1d-%1d",i,j);
-       fprintf(ficrespijb,"\n");
+         /* oldm=oldms;savm=savms; */
-       for (h=0; h<=nhstepm; h++){
+         /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);   */
-         /*agedebphstep = agedeb + h*hstepm/YEARM*stepm;*/
+         hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k, nres);
-         fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb - h*hstepm/YEARM*stepm );
+         /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm, dnewm, doldm, dsavm, k); */
-         /* fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); */
+         fprintf(ficrespijb,"# Cov Agex agex-h hbijx with i,j=");
          for(i=1; i<=nlstate;i++)
            for(j=1; j<=nlstate+ndeath;j++)
-             fprintf(ficrespijb," %.5f", p3mat[i][j][h]);
+             fprintf(ficrespijb," %1d-%1d",i,j);
          fprintf(ficrespijb,"\n");
-       }
+         for (h=0; h<=nhstepm; h++){
-       free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+           /*agedebphstep = agedeb + h*hstepm/YEARM*stepm;*/
-       fprintf(ficrespijb,"\n");
+           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(j=1; j<=nlstate+ndeath;j++)
+               fprintf(ficrespijb," %.5f", p3mat[i][j][h]);
+           fprintf(ficrespijb,"\n");
+         }
+         free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+         fprintf(ficrespijb,"\n");
+       } /* end age deb */
+     } /* end combination */
+   } /* end nres */
    return 0;
   } /*  hBijx */
- Line 9026  int main(int argc, char *argv[])
+ Line 10882  int main(int argc, char *argv[])
    double ssval;
  #endif
    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 jj, ll, li, lj, lk;
    int numlinepar=0; /* Current linenumber of parameter file */
- Line 9034  int main(int argc, char *argv[])
+ Line 10891  int main(int argc, char *argv[])
    int itimes;
    int NDIM=2;
    int vpopbased=0;
+   int nres=0;
+   int endishere=0;
+   int noffset=0;
+   int ncurrv=0; /* Temporary variable */
    char ca[32], cb[32];
    /*  FILE *fichtm; *//* Html File */
    /* FILE *ficgp;*/ /*Gnuplot File */
- Line 9052  int main(int argc, char *argv[])
+ Line 10913  int main(int argc, char *argv[])
    char line[MAXLINE];
    char path[MAXLINE],pathc[MAXLINE],pathcd[MAXLINE],pathtot[MAXLINE];
-   char model[MAXLINE], modeltemp[MAXLINE];
+   char  modeltemp[MAXLINE];
    char resultline[MAXLINE];
    char pathr[MAXLINE], pathimach[MAXLINE];
    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 jl=0;
    int i1, j1, jk, stepsize=0;
- Line 9065  int main(int argc, char *argv[])
+ Line 10926  int main(int argc, char *argv[])
    int *tab;
    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 hstepm=0, nhstepm=0;
    int agemortsup;
- Line 9078  int main(int argc, char *argv[])
+ Line 10946  int main(int argc, char *argv[])
    double **prlim;
    double **bprlim;
    double ***param; /* Matrix of parameters */
-   double  *p;
+   double ***paramstart; /* Matrix of starting parameter values */
+   double  *p, *pstart; /* p=param[1][1] pstart is for starting values guessed by freqsummary */
    double **matcov; /* Matrix of covariance */
    double **hess; /* Hessian matrix */
    double ***delti3; /* Scale */
    double *delti; /* Scale */
    double ***eij, ***vareij;
    double **varpl; /* Variances of prevalence limits by age */
    double *epj, vepp;
-   double dateprev1, dateprev2,jproj1=1,mproj1=1,anproj1=2000,jproj2=1,mproj2=1,anproj2=2000;
+   double dateprev1, dateprev2;
-   double jback1=1,mback1=1,anback1=2000,jback2=1,mback2=1,anback2=2000;
+   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, datebackd=0, datebackf=0;
    double **ximort;
    char *alph[]={"a","a","b","c","d","e"}, str[4]="1234";
- Line 9166  int main(int argc, char *argv[])
+ Line 11038  int main(int argc, char *argv[])
        if(pathr[0] == '\0') break; /* Dirty */
      }
    }
+   else if (argc<=2){
+     strcpy(pathtot,argv[1]);
+   }
    else{
      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");*/
    /*cygwin_split_path(pathtot,path,optionfile);
- Line 9245  int main(int argc, char *argv[])
+ Line 11122  int main(int argc, char *argv[])
      exit(70);
    }
    strcpy(filereso,"o");
    strcat(filereso,fileresu);
    if((ficparo=fopen(filereso,"w"))==NULL) { /* opened on subdirectory */
- Line 9255  int main(int argc, char *argv[])
+ Line 11130  int main(int argc, char *argv[])
      fflush(ficlog);
      goto end;
    }
+       /*-------- Rewriting parameter file ----------*/
+   strcpy(rfileres,"r");    /* "Rparameterfile */
+   strcat(rfileres,optionfilefiname);    /* Parameter file first name */
+   strcat(rfileres,".");    /* */
+   strcat(rfileres,optionfilext);    /* Other files have txt extension */
+   if((ficres =fopen(rfileres,"w"))==NULL) {
+     printf("Problem writing new parameter file: %s\n", rfileres);goto end;
+     fprintf(ficlog,"Problem writing new parameter file: %s\n", rfileres);goto end;
+     fflush(ficlog);
+     goto end;
+   }
+   fprintf(ficres,"#IMaCh %s\n",version);
    /* Reads comments: lines beginning with '#' */
    numlinepar=0;
+   /* Is it a BOM UTF-8 Windows file? */
-     /* First parameter line */
+   /* First parameter line */
    while(fgets(line, MAXLINE, ficpar)) {
+     noffset=0;
+     if( line[0] == (char)0xEF && line[1] == (char)0xBB) /* EF BB BF */
+     {
+       noffset=noffset+3;
+       printf("# File is an UTF8 Bom.\n"); // 0xBF
+     }
+ /*    else if( line[0] == (char)0xFE && line[1] == (char)0xFF)*/
+     else if( line[0] == (char)0xFF && line[1] == (char)0xFE)
+     {
+       noffset=noffset+2;
+       printf("# File is an UTF16BE BOM file\n");
+     }
+     else if( line[0] == 0 && line[1] == 0)
+     {
+       if( line[2] == (char)0xFE && line[3] == (char)0xFF){
+         noffset=noffset+4;
+         printf("# File is an UTF16BE BOM file\n");
+       }
+     } else{
+       ;/*printf(" Not a BOM file\n");*/
+     }
      /* If line starts with a # it is a comment */
-     if (line[0] == '#') {
+     if (line[noffset] == '#') {
        numlinepar++;
        fputs(line,stdout);
        fputs(line,ficparo);
+       fputs(line,ficres);
        fputs(line,ficlog);
        continue;
      }else
- Line 9275  int main(int argc, char *argv[])
+ Line 11186  int main(int argc, char *argv[])
                          title, datafile, &lastobs, &firstpass,&lastpass)) !=EOF){
      if (num_filled != 5) {
        printf("Should be 5 parameters\n");
+       fprintf(ficlog,"Should be 5 parameters\n");
      }
      numlinepar++;
      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 */
    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] == '#') {
        numlinepar++;
-       fputs(line,stdout);
+       printf("%s",line);
-       fputs(line,ficparo);
+       fprintf(ficres,"%s",line);
-       fputs(line,ficlog);
+       fprintf(ficparo,"%s",line);
+       fprintf(ficlog,"%s",line);
        continue;
      }else
        break;
- Line 9296  int main(int argc, char *argv[])
+ Line 11213  int main(int argc, char *argv[])
      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("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);
      }
-     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);
+     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);
+     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.e-4; *//* 6.e-3 make convergences in less than 80 loops for the prevalence limit */
- Line 9306  int main(int argc, char *argv[])
+ Line 11234  int main(int argc, char *argv[])
      /* If line starts with a # it is a comment */
      if (line[0] == '#') {
        numlinepar++;
-       fputs(line,stdout);
+       printf("%s",line);
-       fputs(line,ficparo);
+       fprintf(ficres,"%s",line);
-       fputs(line,ficlog);
+       fprintf(ficparo,"%s",line);
+       fprintf(ficlog,"%s",line);
        continue;
      }else
        break;
    }
    if((num_filled=sscanf(line,"model=1+age%[^.\n]", model)) !=EOF){
-     if (num_filled == 0)
+     if (num_filled != 1){
-             model[0]='\0';
+       printf("ERROR %d: Model should be at minimum 'model=1+age+' instead of '%s'\n",num_filled, line);
-     else if (num_filled != 1){
+       fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age+' instead of '%s'\n",num_filled, line);
-       printf("ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line);
-       fprintf(ficlog,"ERROR %d: Model should be at minimum 'model=1+age.' %s\n",num_filled, line);
        model[0]='\0';
        goto end;
      }
- Line 9331  int main(int argc, char *argv[])
+ Line 11258  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\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); */
    /* numlinepar=numlinepar+3; /\* In general *\/ */
    /* printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=1+age+%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model); */
-   fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d 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);
    /* if(model[0]=='#'|| model[0]== '\0'){ */
    if(model[0]=='#'){
-     printf("Error in 'model' line: model should start with 'model=1+age+' and end with '.' \n \
+     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){
-       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);
      }
    }
- Line 9364  int main(int argc, char *argv[])
+ Line 11294  int main(int argc, char *argv[])
    ungetc(c,ficpar);
-   covar=matrix(0,NCOVMAX,1,n);  /**< used in readdata */
+   covar=matrix(0,NCOVMAX,firstobs,lastobs);  /**< used in readdata */
-   coqvar=matrix(1,nqv,1,n);  /**< Fixed quantitative covariate */
+   if(nqv>=1)coqvar=matrix(1,nqv,firstobs,lastobs);  /**< Fixed quantitative covariate */
-   cotvar=ma3x(1,maxwav,1,ntv+nqtv,1,n);  /**< Time varying covariate (dummy and quantitative)*/
+   if(nqtv>=1)cotqvar=ma3x(1,maxwav,1,nqtv,firstobs,lastobs);  /**< Time varying quantitative covariate */
-   cotqvar=ma3x(1,maxwav,1,nqtv,1,n);  /**< Time varying quantitative covariate */
+   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*/
    /* v1+v2+v3+v2*v4+v5*age makes cptcovn = 5
       v1+v2*age+v2*v3 makes cptcovn = 3
- Line 9389  int main(int argc, char *argv[])
+ Line 11319  int main(int argc, char *argv[])
    delti=delti3[1][1];
    /*delti=vector(1,npar); *//* Scale of each paramater (output from hesscov)*/
    if(mle==-1){ /* Print a wizard for help writing covariance matrix */
+ /* We could also provide initial parameters values giving by simple logistic regression
+  * only one way, that is without matrix product. We will have nlstate maximizations */
+       /* for(i=1;i<nlstate;i++){ */
+       /*        /\*reducing xi for 1 to npar to 1 to ncovmodel; *\/ */
+       /*    mlikeli(ficres,p, ncovmodel, ncovmodel, nlstate, ftol, funcnoprod); */
+       /* } */
      prwizard(ncovmodel, nlstate, ndeath, model, ficparo);
      printf(" You chose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
      fprintf(ficlog," You chose mle=-1, look at file %s for a template of covariance matrix \n",filereso);
- Line 9418  int main(int argc, char *argv[])
+ Line 11354  int main(int argc, char *argv[])
      ungetc(c,ficpar);
      param= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
+     paramstart= ma3x(1,nlstate,1,nlstate+ndeath-1,1,ncovmodel);
      for(i=1; i <=nlstate; i++){
-                         j=0;
+       j=0;
        for(jj=1; jj <=nlstate+ndeath; jj++){
-                                 if(jj==i) continue;
+         if(jj==i) continue;
-                                 j++;
+         j++;
-                                 fscanf(ficpar,"%1d%1d",&i1,&j1);
+         while((c=getc(ficpar))=='#' && c!= EOF){
-                                 if ((i1 != i) || (j1 != jj)){
+           ungetc(c,ficpar);
-                                         printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \
+           fgets(line, MAXLINE, ficpar);
+           numlinepar++;
+           fputs(line,stdout);
+           fputs(line,ficparo);
+           fputs(line,ficlog);
+         }
+         ungetc(c,ficpar);
+         fscanf(ficpar,"%1d%1d",&i1,&j1);
+         if ((i1 != i) || (j1 != jj)){
+           printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n \
  It might be a problem of design; if ncovcol and the model are correct\n \
  run imach with mle=-1 to get a correct template of the parameter file.\n",numlinepar, i,j, i1, j1);
-                                         exit(1);
+           exit(1);
-                                 }
+         }
-                                 fprintf(ficparo,"%1d%1d",i1,j1);
+         fprintf(ficparo,"%1d%1d",i1,j1);
-                                 if(mle==1)
+         if(mle==1)
-                                         printf("%1d%1d",i,jj);
+           printf("%1d%1d",i,jj);
-                                 fprintf(ficlog,"%1d%1d",i,jj);
+         fprintf(ficlog,"%1d%1d",i,jj);
-                                 for(k=1; k<=ncovmodel;k++){
+         for(k=1; k<=ncovmodel;k++){
-                                         fscanf(ficpar," %lf",&param[i][j][k]);
+           fscanf(ficpar," %lf",&param[i][j][k]);
-                                         if(mle==1){
+           if(mle==1){
-                                                 printf(" %lf",param[i][j][k]);
+             printf(" %lf",param[i][j][k]);
-                                                 fprintf(ficlog," %lf",param[i][j][k]);
+             fprintf(ficlog," %lf",param[i][j][k]);
-                                         }
+           }
-                                         else
+           else
-                                                 fprintf(ficlog," %lf",param[i][j][k]);
+             fprintf(ficlog," %lf",param[i][j][k]);
-                                         fprintf(ficparo," %lf",param[i][j][k]);
+           fprintf(ficparo," %lf",param[i][j][k]);
-                                 }
+         }
-                                 fscanf(ficpar,"\n");
+         fscanf(ficpar,"\n");
-                                 numlinepar++;
+         numlinepar++;
-                                 if(mle==1)
+         if(mle==1)
-                                         printf("\n");
+           printf("\n");
-                                 fprintf(ficlog,"\n");
+         fprintf(ficlog,"\n");
-                                 fprintf(ficparo,"\n");
+         fprintf(ficparo,"\n");
        }
      }
      fflush(ficlog);
-     /* Reads scales values */
+     /* Reads parameters values */
      p=param[1][1];
+     pstart=paramstart[1][1];
      /* Reads comments: lines beginning with '#' */
      while((c=getc(ficpar))=='#' && c!= EOF){
- Line 9470  run imach with mle=-1 to get a correct t
+ Line 11417  run imach with mle=-1 to get a correct t
      for(i=1; i <=nlstate; i++){
        for(j=1; j <=nlstate+ndeath-1; j++){
-                                 fscanf(ficpar,"%1d%1d",&i1,&j1);
+         fscanf(ficpar,"%1d%1d",&i1,&j1);
-                                 if ( (i1-i) * (j1-j) != 0){
+         if ( (i1-i) * (j1-j) != 0){
-                                         printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1);
+           printf("Error in line parameters number %d, %1d%1d instead of %1d%1d \n",numlinepar, i,j, i1, j1);
-                                         exit(1);
+           exit(1);
-                                 }
+         }
-                                 printf("%1d%1d",i,j);
+         printf("%1d%1d",i,j);
-                                 fprintf(ficparo,"%1d%1d",i1,j1);
+         fprintf(ficparo,"%1d%1d",i1,j1);
-                                 fprintf(ficlog,"%1d%1d",i1,j1);
+         fprintf(ficlog,"%1d%1d",i1,j1);
-                                 for(k=1; k<=ncovmodel;k++){
+         for(k=1; k<=ncovmodel;k++){
-                                         fscanf(ficpar,"%le",&delti3[i][j][k]);
+           fscanf(ficpar,"%le",&delti3[i][j][k]);
-                                         printf(" %le",delti3[i][j][k]);
+           printf(" %le",delti3[i][j][k]);
-                                         fprintf(ficparo," %le",delti3[i][j][k]);
+           fprintf(ficparo," %le",delti3[i][j][k]);
-                                         fprintf(ficlog," %le",delti3[i][j][k]);
+           fprintf(ficlog," %le",delti3[i][j][k]);
-                                 }
+         }
-                                 fscanf(ficpar,"\n");
+         fscanf(ficpar,"\n");
-                                 numlinepar++;
+         numlinepar++;
-                                 printf("\n");
+         printf("\n");
-                                 fprintf(ficparo,"\n");
+         fprintf(ficparo,"\n");
-                                 fprintf(ficlog,"\n");
+         fprintf(ficlog,"\n");
        }
      }
      fflush(ficlog);
      /* Reads covariance matrix */
      delti=delti3[1][1];
- Line 9558  Please run with mle=-1 to get a correct
+ Line 11505  Please run with mle=-1 to get a correct
      fflush(ficlog);
-     /*-------- Rewriting parameter file ----------*/
-     strcpy(rfileres,"r");    /* "Rparameterfile */
-     strcat(rfileres,optionfilefiname);    /* Parameter file first name*/
-     strcat(rfileres,".");    /* */
-     strcat(rfileres,optionfilext);    /* Other files have txt extension */
-     if((ficres =fopen(rfileres,"w"))==NULL) {
-       printf("Problem writing new parameter file: %s\n", rfileres);goto end;
-       fprintf(ficlog,"Problem writing new parameter file: %s\n", rfileres);goto end;
-     }
-     fprintf(ficres,"#%s\n",version);
    }    /* End of mle != -3 */
    /*  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[i]=0;
+   num=lvector(firstobs,lastobs);
-                 moisnais[i]=0;
+   moisnais=vector(firstobs,lastobs);
-                 annais[i]=0;
+   annais=vector(firstobs,lastobs);
-                 moisdc[i]=0;
+   moisdc=vector(firstobs,lastobs);
-                 andc[i]=0;
+   andc=vector(firstobs,lastobs);
-                 agedc[i]=0;
+   weight=vector(firstobs,lastobs);
-                 cod[i]=0;
+   agedc=vector(firstobs,lastobs);
-                 weight[i]=1.0; /* Equal weights, 1 by default */
+   cod=ivector(firstobs,lastobs);
-         }
+   for(i=firstobs;i<=lastobs;i++){
-   mint=matrix(1,maxwav,1,n);
+     num[i]=0;
-   anint=matrix(1,maxwav,1,n);
+     moisnais[i]=0;
-   s=imatrix(1,maxwav+1,1,n); /* s[i][j] health state for wave i and individual j */
+     annais[i]=0;
+     moisdc[i]=0;
+     andc[i]=0;
+     agedc[i]=0;
+     cod[i]=0;
+     weight[i]=1.0; /* Equal weights, 1 by default */
+   }
+   mint=matrix(1,maxwav,firstobs,lastobs);
+   anint=matrix(1,maxwav,firstobs,lastobs);
+   s=imatrix(1,maxwav+1,firstobs,lastobs); /* s[i][j] health state for wave i and individual j */
    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 */
    ncodemaxwundef=ivector(1,NCOVMAX); /* Number of code per covariate; if - 1 O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */
- Line 9603  Please run with mle=-1 to get a correct
+ Line 11549  Please run with mle=-1 to get a correct
      goto end;
    /* Calculation of the number of parameters from char model */
-     /*    modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4
+   /*    modelsav=V2+V1+V4+age*V3 strb=age*V3 stra=V2+V1+V4
          k=4 (age*V3) Tvar[k=4]= 3 (from V3) Tag[cptcovage=1]=4
          k=3 V4 Tvar[k=3]= 4 (from V4)
          k=2 V1 Tvar[k=2]= 1 (from V1)
          k=1 Tvar[1]=2 (from V2)
-     */
+   */
-         Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */
+   Tvar=ivector(1,NCOVMAX); /* Was 15 changed to NCOVMAX. */
+   TvarsDind=ivector(1,NCOVMAX); /*  */
+   TvarsD=ivector(1,NCOVMAX); /*  */
+   TvarsQind=ivector(1,NCOVMAX); /*  */
+   TvarsQ=ivector(1,NCOVMAX); /*  */
    TvarF=ivector(1,NCOVMAX); /*  */
    TvarFind=ivector(1,NCOVMAX); /*  */
    TvarV=ivector(1,NCOVMAX); /*  */
- Line 9691  Please run with mle=-1 to get a correct
+ Line 11641  Please run with mle=-1 to get a correct
    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(anint,1,maxwav,1,n);*/
    /* free_vector(moisdc,1,n); */
- Line 9716  Please run with mle=-1 to get a correct
+ Line 11666  Please run with mle=-1 to get a correct
    */
    concatwav(wav, dh, bh, mw, s, agedc, agev,  firstpass, lastpass, imx, nlstate, stepm);
-   /* */
+   /* 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 */
    nbcode=imatrix(0,NCOVMAX,0,NCOVMAX);
- Line 9897  Title=%s <br>Datafile=%s Firstpass=%d La
+ Line 11847  Title=%s <br>Datafile=%s Firstpass=%d La
    /* Calculates basic frequencies. Computes observed prevalence at single age
                   and for any valid combination of covariates
       and prints on file fileres'p'. */
-   freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx, Tvaraff, invalidvarcomb, nbcode, ncodemax,mint,anint,strstart, \
+   freqsummary(fileres, p, pstart, agemin, agemax, s, agev, nlstate, imx, Tvaraff, invalidvarcomb, nbcode, ncodemax,mint,anint,strstart, \
                firstpass, lastpass,  stepm,  weightopt, model);
    fprintf(fichtm,"\n");
-   fprintf(fichtm,"<br>Total number of observations=%d <br>\n\
+   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);
+   fprintf(fichtm,"\n<li>Number of fixed dummy covariates: ncovcol=%d ", ncovcol);
+   ncurrv=1;
+   for(i=ncurrv; i <=ncovcol; i++) fprintf(fichtm,"V%d ", i);
+   fprintf(fichtm,"\n<li> Number of fixed quantitative variables: nqv=%d ", nqv);
+   ncurrv=i;
+   for(i=ncurrv; i <=ncurrv-1+nqv; i++) fprintf(fichtm,"V%d ", i);
+   fprintf(fichtm,"\n<li> Number of time varying (wave varying) dummy covariates: ntv=%d ", ntv);
+   ncurrv=i;
+   for(i=ncurrv; i <=ncurrv-1+ntv; i++) fprintf(fichtm,"V%d ", i);
+   fprintf(fichtm,"\n<li>Number of time varying  quantitative covariates: nqtv=%d ", nqtv);
+   ncurrv=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", \
+            nlstate, ndeath, maxwav, mle, weightopt);
+   fprintf(fichtm,"<h4> Diagram of states <a href=\"%s_.svg\">%s_.svg</a></h4> \n\
+ <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\
  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",\
-           imx,agemin,agemax,jmin,jmax,jmean);
+   imx,agemin,agemax,jmin,jmax,jmean);
    pmmij= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
-         oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
+   oldms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
-         newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
+   newms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
-         savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
+   savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
-         oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */
+   oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */
    /* For Powell, parameters are in a vector p[] starting at p[1]
       so we point p on param[1][1] so that p[1] maps on param[1][1][1] */
- Line 9919  Interval (in months) between two waves:
+ Line 11890  Interval (in months) between two waves:
    /* For mortality only */
    if (mle==-3){
      ximort=matrix(1,NDIM,1,NDIM);
-                 for(i=1;i<=NDIM;i++)
+     for(i=1;i<=NDIM;i++)
-                         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); */
-     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++){
        dcwave[i]=-1;
- Line 9960  Interval (in months) between two waves:
+ Line 11931  Interval (in months) between two waves:
          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
- Line 10087  Interval (in months) between two waves:
+ Line 12058  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]));
        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;
      for (k=agegomp;k<=AGESUP;k++) {
- Line 10136  Please run with mle=-1 to get a correct
+ Line 12107  Please run with mle=-1 to get a correct
                       stepm, weightopt,\
                       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_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
  #endif
    } /* Endof if mle==-3 mortality only */
- Line 10157  Please run with mle=-1 to get a correct
+ Line 12129  Please run with mle=-1 to get a correct
      printf("\n");
      if(mle>=1){ /* Could be 1 or 2, Real Maximization */
        /* mlikeli uses func not funcone */
+       /* for(i=1;i<nlstate;i++){ */
+       /*        /\*reducing xi for 1 to npar to 1 to ncovmodel; *\/ */
+       /*    mlikeli(ficres,p, ncovmodel, ncovmodel, nlstate, ftol, funcnoprod); */
+       /* } */
        mlikeli(ficres,p, npar, ncovmodel, nlstate, ftol, func);
      }
      if(mle==0) {/* No optimization, will print the likelihoods for the datafile */
- Line 10172  Please run with mle=-1 to get a correct
+ Line 12148  Please run with mle=-1 to get a correct
      printf("\n");
      /*--------- 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");
- Line 10334  Please run with mle=-1 to get a correct
+ Line 12310  Please run with mle=-1 to get a correct
          fputs(line,stdout);
          fputs(line,ficparo);
          fputs(line,ficlog);
+         fputs(line,ficres);
          continue;
        }else
          break;
- Line 10372  Please run with mle=-1 to get a correct
+ Line 12349  Please run with mle=-1 to get a correct
      fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d, ftolpl=%e\n",ageminpar,agemaxpar,bage,fage, estepm, ftolpl);
      /* Other stuffs, more or less useful */
-     while((c=getc(ficpar))=='#' && c!= EOF){
+     while(fgets(line, MAXLINE, ficpar)) {
-       ungetc(c,ficpar);
+       /* If line starts with a # it is a comment */
-       fgets(line, MAXLINE, ficpar);
+       if (line[0] == '#') {
-       fputs(line,stdout);
+         numlinepar++;
-       fputs(line,ficparo);
+         fputs(line,stdout);
-     }
+         fputs(line,ficparo);
-     ungetc(c,ficpar);
+         fputs(line,ficlog);
+         fputs(line,ficres);
-     fscanf(ficpar,"begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf mov_average=%d\n",&jprev1, &mprev1,&anprev1,&jprev2, &mprev2,&anprev2,&mobilav);
+         continue;
-     fprintf(ficparo,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
+       }else
-     fprintf(ficres,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
+         break;
-     printf("begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
-     fprintf(ficlog,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
-     while((c=getc(ficpar))=='#' && c!= EOF){
-       ungetc(c,ficpar);
-       fgets(line, MAXLINE, ficpar);
-       fputs(line,stdout);
-       fputs(line,ficparo);
-     }
-     ungetc(c,ficpar);
-     dateprev1=anprev1+(mprev1-1)/12.+(jprev1-1)/365.;
-     dateprev2=anprev2+(mprev2-1)/12.+(jprev2-1)/365.;
-     fscanf(ficpar,"pop_based=%d\n",&popbased);
-     fprintf(ficlog,"pop_based=%d\n",popbased);
-     fprintf(ficparo,"pop_based=%d\n",popbased);
-     fprintf(ficres,"pop_based=%d\n",popbased);
-     while((c=getc(ficpar))=='#' && c!= EOF){
-       ungetc(c,ficpar);
-       fgets(line, MAXLINE, ficpar);
-       fputs(line,stdout);
-       fputs(line,ficparo);
      }
-     ungetc(c,ficpar);
+     if((num_filled=sscanf(line,"begin-prev-date=%lf/%lf/%lf end-prev-date=%lf/%lf/%lf mov_average=%d\n",&jprev1, &mprev1,&anprev1,&jprev2, &mprev2,&anprev2,&mobilav)) !=EOF){
-     fscanf(ficpar,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj);
-     fprintf(ficparo,"prevforecast=%d starting-proj-date=%.lf/%.lf/%.lf final-proj-date=%.lf/%.lf/%.lf mobil_average=%d\n",prevfcast,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2,mobilavproj);
+       if (num_filled != 7) {
-     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("Error: Not 7 (data)parameters in line but %d, for example:begin-prev-date=1/1/1990 end-prev-date=1/6/2004  mov_average=0\n, your line=%s . Probably you are running an older format.\n",num_filled,line);
-     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,"Error: Not 7 (data)parameters in line but %d, for example:begin-prev-date=1/1/1990 end-prev-date=1/6/2004  mov_average=0\n, your line=%s . Probably you are running an older format.\n",num_filled,line);
-     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);
+         goto end;
-     /* day and month of proj2 are not used but only year anproj2.*/
+       }
+       printf("begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
-     while((c=getc(ficpar))=='#' && c!= EOF){
+       fprintf(ficparo,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
-       ungetc(c,ficpar);
+       fprintf(ficres,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
-       fgets(line, MAXLINE, ficpar);
+       fprintf(ficlog,"begin-prev-date=%.lf/%.lf/%.lf end-prev-date=%.lf/%.lf/%.lf mov_average=%d\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,mobilav);
-       fputs(line,stdout);
-       fputs(line,ficparo);
      }
-     ungetc(c,ficpar);
-     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);
-     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.*/
-     /* Results */
      while(fgets(line, MAXLINE, ficpar)) {
        /* If line starts with a # it is a comment */
        if (line[0] == '#') {
- Line 10440  Please run with mle=-1 to get a correct
+ Line 12382  Please run with mle=-1 to get a correct
          fputs(line,stdout);
          fputs(line,ficparo);
          fputs(line,ficlog);
+         fputs(line,ficres);
          continue;
        }else
          break;
      }
-     while((num_filled=sscanf(line,"result:%[^\n]\n",resultline)) !=EOF){
-       if (num_filled == 0)
-         resultline[0]='\0';
+     dateprev1=anprev1+(mprev1-1)/12.+(jprev1-1)/365.;
-       else if (num_filled != 1){
+     dateprev2=anprev2+(mprev2-1)/12.+(jprev2-1)/365.;
-         printf("ERROR %d: result line should be at minimum 'result=' %s\n",num_filled, line);
-       }
+     if((num_filled=sscanf(line,"pop_based=%d\n",&popbased)) !=EOF){
-       printf("Result %d: result line should be at minimum 'line=' %s, result=%s\n",num_filled, line, resultline);
+       if (num_filled != 1) {
-       decoderesult(resultline);
+         printf("Error: Not 1 (data)parameters in line but %d, for example:pop_based=0\n, your line=%s . Probably you are running an older format.\n",num_filled,line);
-       while(fgets(line, MAXLINE, ficpar)) {
+         fprintf(ficlog,"Error: Not 1 (data)parameters in line but %d, for example: pop_based=1\n, your line=%s . Probably you are running an older format.\n",num_filled,line);
+         goto end;
+       }
+       printf("pop_based=%d\n",popbased);
+       fprintf(ficlog,"pop_based=%d\n",popbased);
+       fprintf(ficparo,"pop_based=%d\n",popbased);
+       fprintf(ficres,"pop_based=%d\n",popbased);
+     }
+     /* Results */
+     nresult=0;
+     do{
+       if(!fgets(line, MAXLINE, ficpar)){
+         endishere=1;
+         parameterline=14;
+       }else if (line[0] == '#') {
          /* If line starts with a # it is a comment */
-         if (line[0] == '#') {
+         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
+       }else if(sscanf(line,"prevforecast=%[^\n]\n",modeltemp))
-           break;
+         parameterline=11;
+       else if(sscanf(line,"prevbackcast=%[^\n]\n",modeltemp))
+         parameterline=12;
+       else if(sscanf(line,"result:%[^\n]\n",modeltemp))
+         parameterline=13;
+       else{
+         parameterline=14;
        }
-       if (feof(ficpar))
+       switch (parameterline){
+       case 11:
+         if((num_filled=sscanf(line,"prevforecast=%d starting-proj-date=%lf/%lf/%lf final-proj-date=%lf/%lf/%lf mobil_average=%d\n",&prevfcast,&jproj1,&mproj1,&anproj1,&jproj2,&mproj2,&anproj2,&mobilavproj)) !=EOF && (num_filled == 8)){
+                   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);
+           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);
+           /* day and month of proj2 are not used but only year anproj2.*/
+           dateproj1=anproj1+(mproj1-1)/12.+(jproj1-1)/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=%lf.2 mobil_average=%d\n",prevfcast,yrfproj,mobilavproj);
+           fprintf(ficlog,"prevforecast=%d yearsfproj=%lf.2 mobil_average=%d\n",prevfcast,yrfproj,mobilavproj);
+           fprintf(ficres,"prevforecast=%d yearsfproj=%lf.2 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;
-       else{ /* Processess output results for this combination of covariate values */
+       case 12:
-       }
+         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)){
-     }
+           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);
+           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);
+           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(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);
+           /* day and month of back2 are not used but only year anback2.*/
+           dateback1=anback1+(mback1-1)/12.+(jback1-1)/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=%lf.2 mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);
+           fprintf(ficlog,"prevbackcast=%d yearsbproj=%lf.2 mobil_average=%d\n",prevbcast,yrbproj,mobilavproj);
+           fprintf(ficres,"prevbackcast=%d yearsbproj=%lf.2 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;
+       case 13:
+         if((num_filled=sscanf(line,"result:%[^\n]\n",resultline)) !=EOF){
+           if (num_filled == 0){
+             resultline[0]='\0';
+             printf("Warning %d: no result line! It should be at minimum 'result: V2=0 V1=1 or result:.\n%s\n", num_filled, line);
+             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;
+           } else if (num_filled != 1){
+             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 %d: result line! It should be at minimum 'result: V2=0 V1=1 or result:.' %s\n",num_filled, line);
+           }
+           nresult++; /* Sum of resultlines */
+           printf("Result %d: result=%s\n",nresult, resultline);
+           if(nresult > MAXRESULTLINES){
+             printf("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\n",MAXRESULTLINES,nresult);
+             goto end;
+           }
+           decoderesult(resultline, nresult); /* Fills TKresult[nresult] combination and Tresult[nresult][k4+1] combination values */
+           fprintf(ficparo,"result: %s\n",resultline);
+           fprintf(ficres,"result: %s\n",resultline);
+           fprintf(ficlog,"result: %s\n",resultline);
+           break;
+         case 14:
+           printf("Error: Unknown command '%s'\n",line);
+           fprintf(ficlog,"Error: Unknown command '%s'\n",line);
+           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;
+         default:
+           nresult=1;
+           decoderesult(".",nresult ); /* No covariate */
+         }
+       } /* End switch parameterline */
+     }while(endishere==0); /* End do */
      /* freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint); */
      /* ,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); */
- Line 10483  Please run with mle=-1 to get a correct
+ Line 12525  Please run with mle=-1 to get a correct
  This is probably because your parameter file doesn't \n  contain the exact number of lines (or columns) corresponding to your model line.\n\
  Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar);
      }else{
-       printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p);
+       /* printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, backcast, pathc,p, (int)anproj1-(int)agemin, (int)anback1-(int)agemax+1); */
+       /* 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, \
-                  model,imx,jmin,jmax,jmean,rfileres,popforecast,prevfcast,backcast, estepm, \
+                  model,imx,jmin,jmax,jmean,rfileres,popforecast,mobilav,prevfcast,mobilavproj,prevbcast, estepm, \
-                  jprev1,mprev1,anprev1,dateprev1,jprev2,mprev2,anprev2,dateprev2);
+                  jprev1,mprev1,anprev1,dateprev1, dateprojd, datebackd,jprev2,mprev2,anprev2,dateprev2,dateprojf, datebackf);
      /*------------ free_vector  -------------*/
      /*  chdir(path); */
- Line 10496  Please run with mle=-1 to get a correct
+ Line 12572  Please run with mle=-1 to get a correct
      /* free_imatrix(dh,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_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,1,NCOVMAX,1,n);*/
      fclose(ficparo);
- Line 10523  Please run with mle=-1 to get a correct
+ Line 12599  Please run with mle=-1 to get a correct
      k=1;
      varprob(optionfilefiname, matcov, p, delti, nlstate, bage, fage,k,Tvar,nbcode, ncodemax,strstart);
-     /* Prevalence for each covariates in probs[age][status][cov] */
+     /* Prevalence for each covariate combination in probs[age][status][cov] */
-     probs= ma3x(1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax);
+     probs= ma3x(AGEINF,AGESUP,1,nlstate+ndeath, 1,ncovcombmax);
-     for(i=1;i<=AGESUP;i++)
+     for(i=AGEINF;i<=AGESUP;i++)
        for(j=1;j<=nlstate+ndeath;j++) /* ndeath is useless but a necessity to be compared with mobaverages */
          for(k=1;k<=ncovcombmax;k++)
            probs[i][j][k]=0.;
-     prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
+     prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode,
+                ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass);
      if (mobilav!=0 ||mobilavproj !=0 ) {
-       mobaverages= ma3x(1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax);
+       mobaverages= ma3x(AGEINF, AGESUP,1,nlstate+ndeath, 1,ncovcombmax);
-       for(i=1;i<=AGESUP;i++)
+       for(i=AGEINF;i<=AGESUP;i++)
-         for(j=1;j<=nlstate;j++)
+         for(j=1;j<=nlstate+ndeath;j++)
            for(k=1;k<=ncovcombmax;k++)
              mobaverages[i][j][k]=0.;
        mobaverage=mobaverages;
        if (mobilav!=0) {
+         printf("Movingaveraging observed prevalence\n");
+         fprintf(ficlog,"Movingaveraging observed prevalence\n");
          if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilav)!=0){
            fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
            printf(" Error in movingaverage mobilav=%d\n",mobilav);
          }
-       }
+       } else if (mobilavproj !=0) {
-       /* /\* Prevalence for each covariates in probs[age][status][cov] *\/ */
+         printf("Movingaveraging projected observed prevalence\n");
-       /* prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); */
+         fprintf(ficlog,"Movingaveraging projected observed prevalence\n");
-       else if (mobilavproj !=0) {
          if (movingaverage(probs, ageminpar, agemaxpar, mobaverage, mobilavproj)!=0){
            fprintf(ficlog," Error in movingaverage mobilavproj=%d\n",mobilavproj);
            printf(" Error in movingaverage mobilavproj=%d\n",mobilavproj);
          }
+       }else{
+         printf("Internal error moving average\n");
+         fflush(stdout);
+         exit(1);
        }
      }/* end if moving average */
      /*---------- Forecasting ------------------*/
-     /*if((stepm == 1) && (strcmp(model,".")==0)){*/
+     if(prevfcast==1){
-     if(prevfcast==1){
+       /*   /\*    if(stepm ==1){*\/ */
-       /*    if(stepm ==1){*/
+       /*   /\*  anproj1, mproj1, jproj1 either read explicitly or yrfproj *\/ */
-       prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);
+       /*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);
      }
-     if(backcast==1){
+     /* Prevbcasting */
+     if(prevbcast==1){
        ddnewms=matrix(1,nlstate+ndeath,1,nlstate+ndeath);
        ddoldms=matrix(1,nlstate+ndeath,1,nlstate+ndeath);
        ddsavms=matrix(1,nlstate+ndeath,1,nlstate+ndeath);
- Line 10567  Please run with mle=-1 to get a correct
+ Line 12660  Please run with mle=-1 to get a correct
        /*--------------- Back Prevalence limit  (period or stable prevalence) --------------*/
        bprlim=matrix(1,nlstate,1,nlstate);
        back_prevalence_limit(p, bprlim,  ageminpar, agemaxpar, ftolpl, &ncvyear, dateprev1, dateprev2, firstpass, lastpass, mobilavproj);
        fclose(ficresplb);
        hBijx(p, bage, fage, mobaverage);
        fclose(ficrespijb);
-       free_matrix(bprlim,1,nlstate,1,nlstate); /*here or after loop ? */
-       /* prevbackforecast(fileresu, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2, mobilavproj,
+       /* /\* prevbackforecast(fileresu, mobaverage, anback1, mback1, jback1, agemin, agemax, dateprev1, dateprev2, *\/ */
-          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);
+       free_matrix(bprlim,1,nlstate,1,nlstate); /*here or after loop ? */
        free_matrix(ddnewms, 1, nlstate+ndeath, 1, nlstate+ndeath);
        free_matrix(ddsavms, 1, nlstate+ndeath, 1, nlstate+ndeath);
        free_matrix(ddoldms, 1, nlstate+ndeath, 1, nlstate+ndeath);
-     }
+     }    /* end  Prevbcasting */
      /* ------ Other prevalence ratios------------ */
- Line 10600  Please run with mle=-1 to get a correct
+ Line 12703  Please run with mle=-1 to get a correct
      }
      printf("Computing Health Expectancies: result on file '%s' ...", filerese);fflush(stdout);
      fprintf(ficlog,"Computing Health Expectancies: result on file '%s' ...", filerese);fflush(ficlog);
+     pstamp(ficreseij);
-     for (k=1; k <= (int) pow(2,cptcoveff); k++){ /* For any combination of dummy covariates, fixed and varying */
+     i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */
+     if (cptcovn < 1){i1=1;}
+     for(nres=1; nres <= nresult; nres++) /* For each resultline */
+     for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */
+       if(i1 != 1 && TKresult[nres]!= k)
+         continue;
        fprintf(ficreseij,"\n#****** ");
+       printf("\n#****** ");
        for(j=1;j<=cptcoveff;j++) {
          fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+         printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+       }
+       for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */
+         printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
+         fprintf(ficreseij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
        }
        fprintf(ficreseij,"******\n");
+       printf("******\n");
        eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
        oldm=oldms;savm=savms;
-       evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart);
+       evsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, strstart, nres);
        free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
      }
      fclose(ficreseij);
      printf("done evsij\n");fflush(stdout);
      fprintf(ficlog,"done evsij\n");fflush(ficlog);
      /*---------- State-specific expectancies and variances ------------*/
      strcpy(filerest,"T_");
      strcat(filerest,fileresu);
      if((ficrest=fopen(filerest,"w"))==NULL) {
- Line 10629  Please run with mle=-1 to get a correct
+ Line 12747  Please run with mle=-1 to get a correct
      }
      printf("Computing Total Life expectancies with their standard errors: file '%s' ...\n", filerest); fflush(stdout);
      fprintf(ficlog,"Computing Total Life expectancies with their standard errors: file '%s' ...\n", filerest); fflush(ficlog);
      strcpy(fileresstde,"STDE_");
      strcat(fileresstde,fileresu);
      if((ficresstdeij=fopen(fileresstde,"w"))==NULL) {
- Line 10658  Please run with mle=-1 to get a correct
+ Line 12774  Please run with mle=-1 to get a correct
      printf("      Computing Variance-covariance of State-specific Expectancies: file '%s' ... ", fileresv);fflush(stdout);
      fprintf(ficlog,"      Computing Variance-covariance of State-specific Expectancies: file '%s' ... ", fileresv);fflush(ficlog);
-     /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
+     i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */
-       for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
+     if (cptcovn < 1){i1=1;}
-     for (k=1; k <= (int) pow(2,cptcoveff); k++){
+     for(nres=1; nres <= nresult; nres++) /* For each resultline */
-       printf("\n#****** ");
+     for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */
-       fprintf(ficrest,"\n#****** ");
+       if(i1 != 1 && TKresult[nres]!= k)
-       fprintf(ficlog,"\n#****** ");
+         continue;
+       printf("\n#****** Result for:");
+       fprintf(ficrest,"\n#****** Result for:");
+       fprintf(ficlog,"\n#****** Result for:");
        for(j=1;j<=cptcoveff;j++){
          printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
          fprintf(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
          fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
        }
+       for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */
+         printf(" V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
+         fprintf(ficrest," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
+         fprintf(ficlog," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
+       }
        fprintf(ficrest,"******\n");
        fprintf(ficlog,"******\n");
        printf("******\n");
- Line 10680  Please run with mle=-1 to get a correct
+ Line 12804  Please run with mle=-1 to get a correct
          fprintf(ficresstdeij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
          fprintf(ficrescveij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
        }
+       for (j=1; j<= nsq; j++){ /* For each selected (single) quantitative value */
+         fprintf(ficresstdeij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
+         fprintf(ficrescveij," V%d=%f ",Tvqresult[nres][j],Tqresult[nres][j]);
+       }
        fprintf(ficresstdeij,"******\n");
        fprintf(ficrescveij,"******\n");
        fprintf(ficresvij,"\n#****** ");
+       /* pstamp(ficresvij); */
        for(j=1;j<=cptcoveff;j++)
          fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
+       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,"******\n");
        eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
        oldm=oldms;savm=savms;
-       printf(" cvevsij combination#=%d, ",k);
+       printf(" cvevsij ");
-       fprintf(ficlog, " cvevsij combination#=%d, ",k);
+       fprintf(ficlog, " cvevsij ");
-       cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart);
+       cvevsij(eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov, strstart, nres);
        printf(" end cvevsij \n ");
        fprintf(ficlog, " end cvevsij \n ");
- Line 10703  Please run with mle=-1 to get a correct
+ Line 12835  Please run with mle=-1 to get a correct
        vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
        pstamp(ficrest);
+       epj=vector(1,nlstate+1);
        for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/
          oldm=oldms;savm=savms; /* ZZ Segmentation fault */
          cptcod= 0; /* To be deleted */
          printf("varevsij vpopbased=%d \n",vpopbased);
          fprintf(ficlog, "varevsij vpopbased=%d \n",vpopbased);
-         varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, &ncvyear, k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart); /* cptcod not initialized Intel */
+         varevsij(optionfilefiname, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, &ncvyear, k, estepm, cptcov,cptcod,vpopbased,mobilav, strstart, nres); /* cptcod not initialized Intel */
          fprintf(ficrest,"# Total life expectancy with std error and decomposition into time to be expected in each health state\n#  (weighted average of eij where weights are ");
          if(vpopbased==1)
            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
-           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) ");
          for (i=1;i<=nlstate;i++) fprintf(ficrest,"e.%d (std) ",i);
          fprintf(ficrest,"\n");
          /* printf("Which p?\n"); for(i=1;i<=npar;i++)printf("p[i=%d]=%lf,",i,p[i]);printf("\n"); */
-         epj=vector(1,nlstate+1);
+         printf("Computing age specific forward period (stable) prevalences in each health state \n");
-         printf("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");
-         fprintf(ficlog,"Computing age specific period (stable) prevalences in each health state \n");
          for(age=bage; age <=fage ;age++){
-           prevalim(prlim, nlstate, p, age, oldm, savm, ftolpl, &ncvyear, k); /*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(mobilav ==0){
                for(i=1; i<=nlstate;i++)
- Line 10757  Please run with mle=-1 to get a correct
+ Line 12888  Please run with mle=-1 to get a correct
            fprintf(ficrest,"\n");
          }
        } /* End vpopbased */
+       free_vector(epj,1,nlstate+1);
        free_ma3x(eij,1,nlstate,1,nlstate,(int) bage, (int)fage);
        free_ma3x(vareij,1,nlstate,1,nlstate,(int) bage, (int)fage);
-       free_vector(epj,1,nlstate+1);
+       printf("done selection\n");fflush(stdout);
-       printf("done \n");fflush(stdout);
+       fprintf(ficlog,"done selection\n");fflush(ficlog);
-       fprintf(ficlog,"done\n");fflush(ficlog);
-       /*}*/
+     } /* End k selection */
-     } /* End k */
      printf("done State-specific expectancies\n");fflush(stdout);
      fprintf(ficlog,"done State-specific expectancies\n");fflush(ficlog);
-     /*------- Variance of period (stable) prevalence------*/
+     /* variance-covariance of forward period prevalence*/
+     varprlim(fileresu, nresult, mobaverage, mobilavproj, bage, fage, prlim, &ncvyear, ftolpl, p, matcov, delti, stepm, cptcoveff);
-     strcpy(fileresvpl,"VPL_");
-     strcat(fileresvpl,fileresu);
-     if((ficresvpl=fopen(fileresvpl,"w"))==NULL) {
-       printf("Problem with variance of period (stable) prevalence  resultfile: %s\n", fileresvpl);
-       exit(0);
-     }
-     printf("Computing Variance-covariance of period (stable) prevalence: file '%s' ...", fileresvpl);fflush(stdout);
-     fprintf(ficlog, "Computing Variance-covariance of period (stable) prevalence: file '%s' ...", fileresvpl);fflush(ficlog);
-     /*for(cptcov=1,k=0;cptcov<=i1;cptcov++){
-       for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
-     for (k=1; k <= (int) pow(2,cptcoveff); k++){
-       fprintf(ficresvpl,"\n#****** ");
-       printf("\n#****** ");
-       fprintf(ficlog,"\n#****** ");
-       for(j=1;j<=cptcoveff;j++) {
-         fprintf(ficresvpl,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
-         fprintf(ficlog,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
-         printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
-       }
-       fprintf(ficresvpl,"******\n");
-       printf("******\n");
-       fprintf(ficlog,"******\n");
-       varpl=matrix(1,nlstate,(int) bage, (int) fage);
-       oldm=oldms;savm=savms;
-       varprevlim(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, &ncvyear, k, strstart);
-       free_matrix(varpl,1,nlstate,(int) bage, (int)fage);
-       /*}*/
-     }
-     fclose(ficresvpl);
-     printf("done variance-covariance of period prevalence\n");fflush(stdout);
-     fprintf(ficlog,"done variance-covariance of period prevalence\n");fflush(ficlog);
-     free_vector(weight,1,n);
+     free_vector(weight,firstobs,lastobs);
      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);
      fclose(ficresstdeij);
      fclose(ficrescveij);
- Line 10823  Please run with mle=-1 to get a correct
+ Line 12919  Please run with mle=-1 to get a correct
      /*---------- End : free ----------------*/
      if (mobilav!=0 ||mobilavproj !=0)
-       free_ma3x(mobaverages,1, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); /* We need to have a squared matrix with prevalence of the dead! */
+       free_ma3x(mobaverages,AGEINF, AGESUP,1,nlstate+ndeath, 1,ncovcombmax); /* We need to have a squared matrix with prevalence of the dead! */
-     free_ma3x(probs,1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax);
+     free_ma3x(probs,AGEINF,AGESUP,1,nlstate+ndeath, 1,ncovcombmax);
      free_matrix(prlim,1,nlstate,1,nlstate); /*here or after loop ? */
      free_matrix(pmmij,1,nlstate+ndeath,1,nlstate+ndeath);
    }  /* mle==-3 arrives here for freeing */
- Line 10832  Please run with mle=-1 to get a correct
+ Line 12928  Please run with mle=-1 to get a correct
    free_matrix(oldms, 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_ma3x(cotqvar,1,maxwav,1,nqtv,1,n);
+   if(ntv+nqtv>=1)free_ma3x(cotvar,1,maxwav,1,ntv+nqtv,firstobs,lastobs);
-   free_ma3x(cotvar,1,maxwav,1,ntv+nqtv,1,n);
+   if(nqtv>=1)free_ma3x(cotqvar,1,maxwav,1,nqtv,firstobs,lastobs);
-   free_matrix(coqvar,1,maxwav,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(hess,1,npar,1,npar);
    /*free_vector(delti,1,npar);*/
    free_ma3x(delti3,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
    free_matrix(agev,1,maxwav,1,imx);
+   free_ma3x(paramstart,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
    free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel);
    free_ivector(ncodemax,1,NCOVMAX);
    free_ivector(ncodemaxwundef,1,NCOVMAX);
    free_ivector(Dummy,-1,NCOVMAX);
    free_ivector(Fixed,-1,NCOVMAX);
+   free_ivector(DummyV,1,NCOVMAX);
+   free_ivector(FixedV,1,NCOVMAX);
    free_ivector(Typevar,-1,NCOVMAX);
    free_ivector(Tvar,1,NCOVMAX);
+   free_ivector(TvarsQ,1,NCOVMAX);
+   free_ivector(TvarsQind,1,NCOVMAX);
+   free_ivector(TvarsD,1,NCOVMAX);
+   free_ivector(TvarsDind,1,NCOVMAX);
    free_ivector(TvarFD,1,NCOVMAX);
    free_ivector(TvarFDind,1,NCOVMAX);
    free_ivector(TvarF,1,NCOVMAX);
- Line 10911  Please run with mle=-1 to get a correct
+ Line 13014  Please run with mle=-1 to get a correct
    fclose(ficlog);
    /*------ End -----------*/
+ /* Executes gnuplot */
    printf("Before Current directory %s!\n",pathcd);
  #ifdef WIN32
- Line 10946  Please run with mle=-1 to get a correct
+ Line 13051  Please run with mle=-1 to get a correct
    sprintf(plotcmd,"%s %s",pplotcmd, optionfilegnuplot);
    printf("Starting graphs with: '%s'\n",plotcmd);fflush(stdout);
+   strcpy(pplotcmd,plotcmd);
    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");
      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);
+       strcpy(plotcmd,pplotcmd);
+     }
    }
    printf(" Successful, please wait...");
    while (z[0] != 'q') {
- Line 10979  end:
+ Line 13087  end:
      printf("\nType  q for exiting: "); fflush(stdout);
      scanf("%s",z);
    }
+   printf("End\n");
+   exit(0);
  }

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