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Diff for /imach/src/imach.c between versions 1.319 and 1.326

version 1.319, 2022/06/02 04:45:11 version 1.326, 2022/07/26 17:33:55
Line 1 Line 1
 /* $Id$  /* $Id$
   $State$    $State$
   $Log$    $Log$
     Revision 1.326  2022/07/26 17:33:55  brouard
     Summary: some test with nres=1
   
     Revision 1.325  2022/07/25 14:27:23  brouard
     Summary: r30
   
     * imach.c (Module): Error cptcovn instead of nsd in bmij (was
     coredumped, revealed by Feiuno, thank you.
   
     Revision 1.324  2022/07/23 17:44:26  brouard
     *** empty log message ***
   
     Revision 1.323  2022/07/22 12:30:08  brouard
     *  imach.c (Module): Output of Wald test in the htm file and not only in the log.
   
     Revision 1.322  2022/07/22 12:27:48  brouard
     *  imach.c (Module): Output of Wald test in the htm file and not only in the log.
   
     Revision 1.321  2022/07/22 12:04:24  brouard
     Summary: r28
   
     *  imach.c (Module): Output of Wald test in the htm file and not only in the log.
   
     Revision 1.320  2022/06/02 05:10:11  brouard
     *** empty log message ***
   
   Revision 1.319  2022/06/02 04:45:11  brouard    Revision 1.319  2022/06/02 04:45:11  brouard
   * imach.c (Module): Adding the Wald tests from the log to the main    * imach.c (Module): Adding the Wald tests from the log to the main
   htm for better display of the maximum likelihood estimators.    htm for better display of the maximum likelihood estimators.
Line 855 Line 881
   
   The same imach parameter file can be used but the option for mle should be -3.    The same imach parameter file can be used but the option for mle should be -3.
   
   Agnès, who wrote this part of the code, tried to keep most of the    Agnès, who wrote this part of the code, tried to keep most of the
   former routines in order to include the new code within the former code.    former routines in order to include the new code within the former code.
   
   The output is very simple: only an estimate of the intercept and of    The output is very simple: only an estimate of the intercept and of
Line 1034  Important routines Line 1060  Important routines
 - Tricode which tests the modality of dummy variables (in order to warn with wrong or empty modalities)  - Tricode which tests the modality of dummy variables (in order to warn with wrong or empty modalities)
   and returns the number of efficient covariates cptcoveff and modalities nbcode[Tvar[k]][1]= 0 and nbcode[Tvar[k]][2]= 1 usually.    and returns the number of efficient covariates cptcoveff and modalities nbcode[Tvar[k]][1]= 0 and nbcode[Tvar[k]][2]= 1 usually.
 - printinghtml which outputs results like life expectancy in and from a state for a combination of modalities of dummy variables  - printinghtml which outputs results like life expectancy in and from a state for a combination of modalities of dummy variables
   o There are 2*cptcoveff combinations of (0,1) for cptcoveff variables. Outputting only combinations with people, éliminating 1 1 if    o There are 2**cptcoveff combinations of (0,1) for cptcoveff variables. Outputting only combinations with people, éliminating 1 1 if
     race White (0 0), Black vs White (1 0), Hispanic (0 1) and 1 1 being meaningless.      race White (0 0), Black vs White (1 0), Hispanic (0 1) and 1 1 being meaningless.
   
   
       
   Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr).    Authors: Nicolas Brouard (brouard@ined.fr) and Agnès Lièvre (lievre@ined.fr).
            Institut national d'études démographiques, Paris.             Institut national d'études démographiques, Paris.
   This software have been partly granted by Euro-REVES, a concerted action    This software have been partly granted by Euro-REVES, a concerted action
   from the European Union.    from the European Union.
   It is copyrighted identically to a GNU software product, ie programme and    It is copyrighted identically to a GNU software product, ie programme and
Line 1171  typedef struct { Line 1197  typedef struct {
 #define NINTERVMAX 8  #define NINTERVMAX 8
 #define NLSTATEMAX 8 /**< Maximum number of live states (for func) */  #define NLSTATEMAX 8 /**< Maximum number of live states (for func) */
 #define NDEATHMAX 8 /**< Maximum number of dead states (for func) */  #define NDEATHMAX 8 /**< Maximum number of dead states (for func) */
 #define NCOVMAX 30  /**< Maximum number of covariates, including generated covariates V1*V2 */  #define NCOVMAX 30  /**< Maximum number of covariates used in the model, including generated covariates V1*V2 or V1*age */
 #define codtabm(h,k)  (1 & (h-1) >> (k-1))+1  #define codtabm(h,k)  (1 & (h-1) >> (k-1))+1
 /*#define decodtabm(h,k,cptcoveff)= (h <= (1<<cptcoveff)?(((h-1) >> (k-1)) & 1) +1 : -1)*/  /*#define decodtabm(h,k,cptcoveff)= (h <= (1<<cptcoveff)?(((h-1) >> (k-1)) & 1) +1 : -1)*/
 #define decodtabm(h,k,cptcoveff) (((h-1) >> (k-1)) & 1) +1   #define decodtabm(h,k,cptcoveff) (((h-1) >> (k-1)) & 1) +1 
Line 1199  typedef struct { Line 1225  typedef struct {
 /* $State$ */  /* $State$ */
 #include "version.h"  #include "version.h"
 char version[]=__IMACH_VERSION__;  char version[]=__IMACH_VERSION__;
 char copyright[]="May 2022,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2020, Nihon University 2021-202, INED 2000-2022";  char copyright[]="July 2022,INED-EUROREVES-Institut de longevite-Japan Society for the Promotion of Science (Grant-in-Aid for Scientific Research 25293121), Intel Software 2015-2020, Nihon University 2021-202, INED 2000-2022";
 char fullversion[]="$Revision$ $Date$";   char fullversion[]="$Revision$ $Date$"; 
 char strstart[80];  char strstart[80];
 char optionfilext[10], optionfilefiname[FILENAMELENGTH];  char optionfilext[10], optionfilefiname[FILENAMELENGTH];
Line 1422  int **nbcode, *Tvar; /**< model=V2 => Tv Line 1448  int **nbcode, *Tvar; /**< model=V2 => Tv
 /* Tage[cptcovage]=k            5               8      */ /* Position in the model of ith cov*age */  /* Tage[cptcovage]=k            5               8      */ /* Position in the model of ith cov*age */
 /* Tvard[1][1]@4={4,3,1,2}    V4*V3 V1*V2              */ /* Position in model of the ith prod without age */  /* Tvard[1][1]@4={4,3,1,2}    V4*V3 V1*V2              */ /* Position in model of the ith prod without age */
 /* TvarF TvarF[1]=Tvar[6]=2,  TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1  ID of fixed covariates or product V2, V1*V2, V1 */  /* TvarF TvarF[1]=Tvar[6]=2,  TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1  ID of fixed covariates or product V2, V1*V2, V1 */
 /* TvarFind; /**< TvarFind[1]=6,  TvarFind[2]=7, TvarFind[3]=9 *//* Inverse V2(6) is first fixed (single or prod)  */  /* TvarFind;  TvarFind[1]=6,  TvarFind[2]=7, TvarFind[3]=9 *//* Inverse V2(6) is first fixed (single or prod)  */
 /* Type                    */  /* Type                    */
 /* V         1  2  3  4  5 */  /* V         1  2  3  4  5 */
 /*           F  F  V  V  V */  /*           F  F  V  V  V */
Line 2402  void powell(double p[], double **xi, int Line 2428  void powell(double p[], double **xi, int
   for (j=1;j<=n;j++) pt[j]=p[j];     for (j=1;j<=n;j++) pt[j]=p[j]; 
   rcurr_time = time(NULL);      rcurr_time = time(NULL);  
   for (*iter=1;;++(*iter)) {     for (*iter=1;;++(*iter)) { 
     fp=(*fret); /* From former iteration or initial value */  
     ibig=0;       ibig=0; 
     del=0.0;       del=0.0; 
     rlast_time=rcurr_time;      rlast_time=rcurr_time;
     /* (void) gettimeofday(&curr_time,&tzp); */      /* (void) gettimeofday(&curr_time,&tzp); */
     rcurr_time = time(NULL);        rcurr_time = time(NULL);  
     curr_time = *localtime(&rcurr_time);      curr_time = *localtime(&rcurr_time);
     printf("\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout);      printf("\nPowell iter=%d -2*LL=%.12f gain=%.12f=%.3g %ld sec. %ld sec.",*iter,*fret, fp-*fret,fp-*fret, rcurr_time-rlast_time, rcurr_time-rstart_time);fflush(stdout);
     fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f %ld sec. %ld sec.",*iter,*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog);      fprintf(ficlog,"\nPowell iter=%d -2*LL=%.12f gain=%.12f=%.3g %ld sec. %ld sec.",*iter,*fret, fp-*fret,fp-*fret,rcurr_time-rlast_time, rcurr_time-rstart_time); fflush(ficlog);
 /*     fprintf(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tm_sec-start_time.tm_sec); */  /*     fprintf(ficrespow,"%d %.12f %ld",*iter,*fret,curr_time.tm_sec-start_time.tm_sec); */
       fp=(*fret); /* From former iteration or initial value */
     for (i=1;i<=n;i++) {      for (i=1;i<=n;i++) {
       fprintf(ficrespow," %.12lf", p[i]);        fprintf(ficrespow," %.12lf", p[i]);
     }      }
Line 3121  double **pmij(double **ps, double *cov, Line 3147  double **pmij(double **ps, double *cov,
     ps[i][i]=1./(s1+1.);      ps[i][i]=1./(s1+1.);
     /* Computing other pijs */      /* Computing other pijs */
     for(j=1; j<i; j++)      for(j=1; j<i; j++)
       ps[i][j]= exp(ps[i][j])*ps[i][i];        ps[i][j]= exp(ps[i][j])*ps[i][i];/* Bug valgrind */
     for(j=i+1; j<=nlstate+ndeath; j++)      for(j=i+1; j<=nlstate+ndeath; j++)
       ps[i][j]= exp(ps[i][j])*ps[i][i];        ps[i][j]= exp(ps[i][j])*ps[i][i];
     /* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */      /* ps[i][nlstate+1]=1.-s1- ps[i][i];*/ /* Sum should be 1 */
Line 3179  double **pmij(double **ps, double *cov, Line 3205  double **pmij(double **ps, double *cov,
   /* dsavm=pmij(pmmij,cov,ncovmodel,x,nlstate); */    /* dsavm=pmij(pmmij,cov,ncovmodel,x,nlstate); */
   
   /* P_x */    /* P_x */
   pmmij=pmij(pmmij,cov,ncovmodel,x,nlstate); /*This is forward probability from agefin to agefin + stepm */    pmmij=pmij(pmmij,cov,ncovmodel,x,nlstate); /*This is forward probability from agefin to agefin + stepm *//* Bug valgrind */
   /* outputs pmmij which is a stochastic matrix in row */    /* outputs pmmij which is a stochastic matrix in row */
   
   /* Diag(w_x) */    /* Diag(w_x) */
Line 3524  double ***hbxij(double ***po, int nhstep Line 3550  double ***hbxij(double ***po, int nhstep
       cov[2]=agexact;        cov[2]=agexact;
       if(nagesqr==1)        if(nagesqr==1)
         cov[3]= agexact*agexact;          cov[3]= agexact*agexact;
       for (k=1; k<=cptcovn;k++){        for (k=1; k<=nsd;k++){ /* For single dummy covariates only *//* cptcovn error */
       /*        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])]; *\/ */
         cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)];          cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(ij,k)];/* Bug valgrind */
         /* printf("hbxij Dummy agexact=%.0f combi=%d k=%d TvarsD[%d]=V%d TvarsDind[%d]=%d nbcode=%d cov[%d]=%lf codtabm(%d,Tvar[%d])=%d \n",agexact,ij,k, k, TvarsD[k],k,TvarsDind[k],nbcode[TvarsD[k]][codtabm(ij,k)],2+nagesqr+TvarsDind[k],cov[2+nagesqr+TvarsDind[k]], ij, k, codtabm(ij,k)); */          /* printf("hbxij 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)); */
       }        }
       for (k=1; k<=nsq;k++) { /* For single varying covariates only */        for (k=1; k<=nsq;k++) { /* For single varying covariates only */
Line 3546  double ***hbxij(double ***po, int nhstep Line 3572  double ***hbxij(double ***po, int nhstep
       }        }
       for (k=1; k<=cptcovprod;k++){ /* Useless because included in cptcovn */        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,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)];
           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("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/        /*printf("hxi cptcov=%d cptcode=%d\n",cptcov,cptcode);*/
       /*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*/        /*printf("h=%d d=%d age=%f cov=%f\n",h,d,age,cov[2]);*/
Line 3555  double ***hbxij(double ***po, int nhstep Line 3594  double ***hbxij(double ***po, int nhstep
       /* out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij),\ */        /* out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent, dnewm, doldm, dsavm,ij),\ */
       /*                                                 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); */        /*                                                 1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); */
       out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent,ij),\        out=matprod2(newm, bmij(pmmij,cov,ncovmodel,x,nlstate,prevacurrent,ij),\
                    1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);                     1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm);/* Bug valgrind */
       /* if((int)age == 70){ */        /* if((int)age == 70){ */
       /*        printf(" Backward hbxij age=%d agexact=%f d=%d nhstepm=%d hstepm=%d\n", (int) age, agexact, d, nhstepm, hstepm); */        /*        printf(" Backward hbxij age=%d agexact=%f d=%d nhstepm=%d hstepm=%d\n", (int) age, agexact, d, nhstepm, hstepm); */
       /*        for(i=1; i<=nlstate+ndeath; i++) { */        /*        for(i=1; i<=nlstate+ndeath; i++) { */
Line 3645  double func( double *x) Line 3684  double func( double *x)
         /* # V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi */          /* # V1=sex, V2=raedyrs Quant Fixed, State=livarnb4..livarnb11, V3=iadl4..iald11, V4=adlw4..adlw11, V5=r4bmi..r11bmi */
         /*             V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */          /*             V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1 */
         /*  TvarF[1]=Tvar[6]=2,  TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1  ID of fixed covariates or product V2, V1*V2, V1 */          /*  TvarF[1]=Tvar[6]=2,  TvarF[2]=Tvar[7]=7, TvarF[3]=Tvar[9]=1  ID of fixed covariates or product V2, V1*V2, V1 */
         /* TvarFind; /**< TvarFind[1]=6,  TvarFind[2]=7, TvarFind[3]=9 *//* Inverse V2(6) is first fixed (single or prod)  */          /* TvarFind;  TvarFind[1]=6,  TvarFind[2]=7, TvarFind[3]=9 *//* Inverse V2(6) is first fixed (single or prod)  */
         cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (TvarFind[1]=6)*/          cov[ioffset+TvarFind[k]]=covar[Tvar[TvarFind[k]]][i];/* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, only V1 is fixed (TvarFind[1]=6)*/
         /* V1*V2 (7)  TvarFind[2]=7, TvarFind[3]=9 */          /* V1*V2 (7)  TvarFind[2]=7, TvarFind[3]=9 */
       }        }
Line 6118  void  concatwav(int wav[], int **dh, int Line 6157  void  concatwav(int wav[], int **dh, int
             varhe[ij][ji][(int)age] += doldm[ij][ji]*hf*hf;              varhe[ij][ji][(int)age] += doldm[ij][ji]*hf*hf;
       }        }
     }      }
     if((int)age ==50){      /* if((int)age ==50){ */
       printf(" age=%d cij=%d nres=%d varhe[%d][%d]=%f ",(int)age, cij, nres, 1,2,varhe[1][2]);      /*   printf(" age=%d cij=%d nres=%d varhe[%d][%d]=%f ",(int)age, cij, nres, 1,2,varhe[1][2]); */
     }      /* } */
     /* Computing expectancies */      /* Computing expectancies */
     hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij,nres);        hpxij(p3matm,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, cij,nres);  
     for(i=1; i<=nlstate;i++)      for(i=1; i<=nlstate;i++)
Line 6783  void varprob(char optionfilefiname[], do Line 6822  void varprob(char optionfilefiname[], do
    int k2, l2, j1,  z1;     int k2, l2, j1,  z1;
    int k=0, l;     int k=0, l;
    int first=1, first1, first2;     int first=1, first1, first2;
      int nres=0; /* New */
    double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;     double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;
    double **dnewm,**doldm;     double **dnewm,**doldm;
    double *xp;     double *xp;
Line 6871  To be simple, these graphs help to under Line 6911  To be simple, these graphs help to under
    if (cptcovn<1) {tj=1;ncodemax[1]=1;}     if (cptcovn<1) {tj=1;ncodemax[1]=1;}
    j1=0;     j1=0;
    for(j1=1; j1<=tj;j1++){  /* For each valid combination of covariates or only once*/     for(j1=1; j1<=tj;j1++){  /* For each valid combination of covariates or only once*/
        for(nres=1;nres <=1; nres++){ /* For each resultline */
        /* for(nres=1;nres <=nresult; nres++){ /\* For each resultline *\/ */
      if  (cptcovn>0) {       if  (cptcovn>0) {
        fprintf(ficresprob, "\n#********** Variable ");          fprintf(ficresprob, "\n#********** Variable "); 
        for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);         for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]);
Line 6906  To be simple, these graphs help to under Line 6948  To be simple, these graphs help to under
        cov[2]=age;         cov[2]=age;
        if(nagesqr==1)         if(nagesqr==1)
          cov[3]= age*age;           cov[3]= age*age;
        for (k=1; k<=cptcovn;k++) {         /* for (k=1; k<=cptcovn;k++) { */
          cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)];         /*        cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,k)]; */
          for (k=1; k<=nsd;k++) { /* For single dummy covariates only */
            /* Here comes the value of the covariate 'j1' after renumbering k with single dummy covariates */
            cov[2+nagesqr+TvarsDind[k]]=nbcode[TvarsD[k]][codtabm(j1,k)];
          /*cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];*//* j1 1 2 3 4           /*cov[2+nagesqr+k]=nbcode[Tvar[k]][codtabm(j1,Tvar[k])];*//* j1 1 2 3 4
                                                                     * 1  1 1 1 1                                                                      * 1  1 1 1 1
                                                                     * 2  2 1 1 1                                                                      * 2  2 1 1 1
Line 6918  To be simple, these graphs help to under Line 6963  To be simple, these graphs help to under
        /* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1, Tage[1]=2 */         /* V2+V1+V4+V3*age Tvar[4]=3 ; V1+V2*age Tvar[2]=2; V1+V1*age Tvar[2]=1, Tage[1]=2 */
        /* ) p nbcode[Tvar[Tage[k]]][(1 & (ij-1) >> (k-1))+1] */         /* ) p nbcode[Tvar[Tage[k]]][(1 & (ij-1) >> (k-1))+1] */
        /*for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */         /*for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; */
        for (k=1; k<=cptcovage;k++)         for (k=1; k<=cptcovage;k++){  /* For product with age */
          cov[2+Tage[k]+nagesqr]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2];           if(Dummy[Tage[k]]==2){ /* dummy with age */
        for (k=1; k<=cptcovprod;k++)             cov[2+nagesqr+Tage[k]]=nbcode[Tvar[Tage[k]]][codtabm(j1,k)]*cov[2];
          cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)];             /* cov[++k1]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; */
                                    } else if(Dummy[Tage[k]]==3){ /* quantitative with age */
                                      cov[2+nagesqr+Tage[k]]=Tqresult[nres][k];
              /* cov[++k1]=Tqresult[nres][k];  */
            }
            /* cov[2+Tage[k]+nagesqr]=nbcode[Tvar[Tage[k]]][codtabm(ij,k)]*cov[2]; */
          }
          for (k=1; k<=cptcovprod;k++){/* For product without age */
            if(Dummy[Tvard[k][1]==0]){
              if(Dummy[Tvard[k][2]==0]){
                cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(j1,k)] * nbcode[Tvard[k][2]][codtabm(j1,k)];
                /* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * nbcode[Tvard[k][2]][codtabm(ij,k)]; */
              }else{ /* Should we use the mean of the quantitative variables? */
                cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(j1,k)] * Tqresult[nres][k];
                /* cov[++k1]=nbcode[Tvard[k][1]][codtabm(ij,k)] * Tqresult[nres][k]; */
              }
            }else{
              if(Dummy[Tvard[k][2]==0]){
                cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][2]][codtabm(j1,k)] * Tqinvresult[nres][Tvard[k][1]];
                /* cov[++k1]=nbcode[Tvard[k][2]][codtabm(ij,k)] * Tqinvresult[nres][Tvard[k][1]]; */
              }else{
                cov[2+nagesqr+Tprod[k]]=Tqinvresult[nres][Tvard[k][1]]*  Tqinvresult[nres][Tvard[k][2]];
                /* cov[++k1]=Tqinvresult[nres][Tvard[k][1]]*  Tqinvresult[nres][Tvard[k][2]]; */
              }
            }
            /* cov[2+nagesqr+Tprod[k]]=nbcode[Tvard[k][1]][codtabm(ij,k)]*nbcode[Tvard[k][2]][codtabm(ij,k)]; */
          }                        
   /* For each age and combination of dummy covariates we slightly move the parameters of delti in order to get the gradient*/                     
        for(theta=1; theta <=npar; theta++){         for(theta=1; theta <=npar; theta++){
          for(i=1; i<=npar; i++)           for(i=1; i<=npar; i++)
            xp[i] = x[i] + (i==theta ?delti[theta]:(double)0);             xp[i] = x[i] + (i==theta ?delti[theta]:(double)0);
Line 7108  To be simple, these graphs help to under Line 7178  To be simple, these graphs help to under
          } /* k12 */           } /* k12 */
        } /*l1 */         } /*l1 */
      }/* k1 */       }/* k1 */
      } /* loop on nres */
    }  /* loop on combination of covariates j1 */     }  /* loop on combination of covariates j1 */
    free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);     free_ma3x(varpij,1,nlstate,1,nlstate+ndeath,(int) bage, (int)fage);
    free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);     free_matrix(mu,1,(nlstate+ndeath)*(nlstate+ndeath),(int) bage, (int)fage);
Line 7237  void printinghtml(char fileresu[], char Line 7308  void printinghtml(char fileresu[], char
       }        }
                 
        /* if(nqfveff+nqtveff 0) */ /* Test to be done */         /* if(nqfveff+nqtveff 0) */ /* Test to be done */
        fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");         fprintf(fichtm," (model=%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model);
        if(invalidvarcomb[k1]){         if(invalidvarcomb[k1]){
          fprintf(fichtm,"\n<h3>Combination (%d) ignored because no cases </h3>\n",k1);            fprintf(fichtm,"\n<h3>Combination (%d) ignored because no cases </h3>\n",k1); 
          printf("\nCombination (%d) ignored because no cases \n",k1);            printf("\nCombination (%d) ignored because no cases \n",k1); 
Line 7424  See page 'Matrix of variance-covariance Line 7495  See page 'Matrix of variance-covariance
         fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);          fprintf(fichtm," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
       }        }
   
        fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">");         fprintf(fichtm," (model=%s) ************\n<hr size=\"2\" color=\"#EC5E5E\">",model);
   
        if(invalidvarcomb[k1]){         if(invalidvarcomb[k1]){
          fprintf(fichtm,"\n<h4>Combination (%d) ignored because no cases </h4>\n",k1);            fprintf(fichtm,"\n<h4>Combination (%d) ignored because no cases </h4>\n",k1); 
Line 7560  void printinggnuplot(char fileresu[], ch Line 7631  void printinggnuplot(char fileresu[], ch
         fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres);          fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1,nres);
         fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres);          fprintf(ficgp,"\n#set out \"V_%s_%d-%d-%d.svg\" \n",optionfilefiname,cpt,k1,nres);
         /* fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); */          /* fprintf(ficgp,"set label \"Alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel); */
         fprintf(ficgp,"set title \"Alive state %d %s\" font \"Helvetica,12\"\n",cpt,gplotlabel);          fprintf(ficgp,"set title \"Alive state %d %s model=%s\" font \"Helvetica,12\"\n",cpt,gplotlabel,model);
         fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres);          fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),nres-1,nres-1,nres);
         /* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */          /* fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter svg size 640, 480\nplot [%.f:%.f] \"%s\" every :::%d::%d u 1:($2==%d ? $3:1/0) \"%%lf %%lf",ageminpar,fage,subdirf2(fileresu,"VPL_"),k1-1,k1-1,nres); */
       /* k1-1 error should be nres-1*/        /* k1-1 error should be nres-1*/
Line 7981  set ter svg size 640, 480\nunset log y\n Line 8052  set ter svg size 640, 480\nunset log y\n
             fprintf(ficgp,", '' ");              fprintf(ficgp,", '' ");
           /* l=(nlstate+ndeath)*(i-1)+1; */            /* l=(nlstate+ndeath)*(i-1)+1; */
           l=(nlstate+ndeath)*(cpt-1)+1; /* fixed for i; cpt=1 1, cpt=2 1+ nlstate+ndeath, 1+2*(nlstate+ndeath) */            l=(nlstate+ndeath)*(cpt-1)+1; /* fixed for i; cpt=1 1, cpt=2 1+ nlstate+ndeath, 1+2*(nlstate+ndeath) */
           /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier *\/ */            /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l); /\* a vérifier *\/ */
           /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier *\/ */            /* fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d/($%d",k1,k+l+(cpt-1),k+l+(cpt-1)+i-1); /\* a vérifier *\/ */
           fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+i-1); /* To be verified */            fprintf(ficgp," u ($1==%d ? ($3):1/0):($%d",k1,k+l+i-1); /* To be verified */
           /* for (j=2; j<= nlstate ; j ++) */            /* for (j=2; j<= nlstate ; j ++) */
           /*    fprintf(ficgp,"+$%d",k+l+j-1); */            /*    fprintf(ficgp,"+$%d",k+l+j-1); */
Line 8332  set ter svg size 640, 480\nunset log y\n Line 8403  set ter svg size 640, 480\nunset log y\n
             for(j=1; j <=cptcovt; j++) { /* For each covariate of the simplified model */              for(j=1; j <=cptcovt; j++) { /* For each covariate of the simplified model */
               /* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */                /* printf("Tage[%d]=%d, j=%d\n", ij, Tage[ij], j); */
               if(cptcovage >0){ /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */                if(cptcovage >0){ /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */
                 if(j==Tage[ij]) { /* Product by age  To be looked at!!*/                  if(j==Tage[ij]) { /* Product by age  To be looked at!!*//* Bug valgrind */
                   if(ij <=cptcovage) { /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */                    if(ij <=cptcovage) { /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */
                     if(DummyV[j]==0){                      if(DummyV[j]==0){/* Bug valgrind */
                       fprintf(ficgp,"+p%d*%d*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);;                        fprintf(ficgp,"+p%d*%d*x",i+j+2+nagesqr-1,Tinvresult[nres][Tvar[j]]);;
                     }else{ /* quantitative */                      }else{ /* quantitative */
                       fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* Tqinvresult in decoderesult */                        fprintf(ficgp,"+p%d*%f*x",i+j+2+nagesqr-1,Tqinvresult[nres][Tvar[j]]); /* Tqinvresult in decoderesult */
Line 11163  int hPijx(double *p, int bage, int fage) Line 11234  int hPijx(double *p, int bage, int fage)
   
         /* oldm=oldms;savm=savms; */          /* oldm=oldms;savm=savms; */
         /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);   */          /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k);   */
         hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k, nres);          hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k, nres);/* Bug valgrind */
         /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm, dnewm, doldm, dsavm, k); */          /* hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm, dnewm, doldm, dsavm, k); */
         fprintf(ficrespijb,"# Cov Agex agex-h hbijx with i,j=");          fprintf(ficrespijb,"# Cov Agex agex-h hbijx with i,j=");
         for(i=1; i<=nlstate;i++)          for(i=1; i<=nlstate;i++)
Line 11176  int hPijx(double *p, int bage, int fage) Line 11247  int hPijx(double *p, int bage, int fage)
           /* fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); */            /* fprintf(ficrespijb,"%d %3.f %3.f",k, agedeb, agedeb + h*hstepm/YEARM*stepm ); */
           for(i=1; i<=nlstate;i++)            for(i=1; i<=nlstate;i++)
             for(j=1; j<=nlstate+ndeath;j++)              for(j=1; j<=nlstate+ndeath;j++)
               fprintf(ficrespijb," %.5f", p3mat[i][j][h]);                fprintf(ficrespijb," %.5f", p3mat[i][j][h]);/* Bug valgrind */
           fprintf(ficrespijb,"\n");            fprintf(ficrespijb,"\n");
         }          }
         free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);          free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
Line 11861  Please run with mle=-1 to get a correct Line 11932  Please run with mle=-1 to get a correct
   }    }
   mint=matrix(1,maxwav,firstobs,lastobs);    mint=matrix(1,maxwav,firstobs,lastobs);
   anint=matrix(1,maxwav,firstobs,lastobs);    anint=matrix(1,maxwav,firstobs,lastobs);
   s=imatrix(1,maxwav+1,firstobs,lastobs); /* s[i][j] health state for wave i and individual j */     s=imatrix(1,maxwav+1,firstobs,lastobs); /* s[i][j] health state for wave i and individual j */
     printf("BUG ncovmodel=%d NCOVMAX=%d 2**ncovmodel=%f BUG\n",ncovmodel,NCOVMAX,pow(2,ncovmodel));
   tab=ivector(1,NCOVMAX);    tab=ivector(1,NCOVMAX);
   ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */    ncodemax=ivector(1,NCOVMAX); /* Number of code per covariate; if O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */
   ncodemaxwundef=ivector(1,NCOVMAX); /* Number of code per covariate; if - 1 O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */    ncodemaxwundef=ivector(1,NCOVMAX); /* Number of code per covariate; if - 1 O and 1 only, 2**ncov; V1+V2+V3+V4=>16 */
Line 12138  Title=%s <br>Datafile=%s Firstpass=%d La Line 12210  Title=%s <br>Datafile=%s Firstpass=%d La
           optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);            optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model);
   }    }
   
   fprintf(fichtm,"<html><head>\n<head>\n<meta charset=\"utf-8\"/><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<title>IMaCh %s</title></head>\n <body><font size=\"7\"><a href=http:/euroreves.ined.fr/imach>IMaCh for Interpolated Markov Chain</a> </font><br>\n<font size=\"3\">Sponsored by Copyright (C)  2002-2015 <a href=http://www.ined.fr>INED</a>-EUROREVES-Institut de longévité-2013-2016-Japan Society for the Promotion of Sciences 日本学術振興会 (<a href=https://www.jsps.go.jp/english/e-grants/>Grant-in-Aid for Scientific Research 25293121</a>) - <a href=https://software.intel.com/en-us>Intel Software 2015-2018</a></font><br>  \    fprintf(fichtm,"<html><head>\n<head>\n<meta charset=\"utf-8\"/><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<title>IMaCh %s</title></head>\n <body><font size=\"7\"><a href=http:/euroreves.ined.fr/imach>IMaCh for Interpolated Markov Chain</a> </font><br>\n<font size=\"3\">Sponsored by Copyright (C)  2002-2015 <a href=http://www.ined.fr>INED</a>-EUROREVES-Institut de longévité-2013-2016-Japan Society for the Promotion of Sciences 日本学術振興会 (<a href=https://www.jsps.go.jp/english/e-grants/>Grant-in-Aid for Scientific Research 25293121</a>) - <a href=https://software.intel.com/en-us>Intel Software 2015-2018</a></font><br>  \
 <hr size=\"2\" color=\"#EC5E5E\"> \n\  <hr size=\"2\" color=\"#EC5E5E\"> \n\
 <font size=\"2\">IMaCh-%s <br> %s</font> \  <font size=\"2\">IMaCh-%s <br> %s</font> \
 <hr size=\"2\" color=\"#EC5E5E\"> \n\  <hr size=\"2\" color=\"#EC5E5E\"> \n\
Line 12548  Please run with mle=-1 to get a correct Line 12620  Please run with mle=-1 to get a correct
       hesscov(matcov, hess, p, npar, delti, ftolhess, func);        hesscov(matcov, hess, p, npar, delti, ftolhess, func);
       printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n");        printf("Parameters and 95%% confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W .\n But be careful that parameters are highly correlated because incidence of disability is highly correlated to incidence of recovery.\n It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n");
       fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n  It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n");        fprintf(ficlog, "Parameters, Wald tests and Wald-based confidence intervals\n W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n And Wald-based confidence intervals plus and minus 1.96 * W \n  It might be better to visualize the covariance matrix. See the page 'Matrix of variance-covariance of one-step probabilities' and its graphs.\n");
         fprintf(fichtm, "\n<p>The Wald test results are output only if the maximimzation of the Likelihood is performed (mle=1)\n</br>Parameters, Wald tests and Wald-based confidence intervals\n</br> W is simply the result of the division of the parameter by the square root of covariance of the parameter.\n</br> And Wald-based confidence intervals plus and minus 1.96 * W \n </br> It might be better to visualize the covariance matrix. See the page '<a href=\"%s\">Matrix of variance-covariance of one-step probabilities and its graphs</a>'.\n</br>",optionfilehtmcov);
       fprintf(fichtm,"\n<table style=\"text-align:center; border: 1px solid\">");        fprintf(fichtm,"\n<table style=\"text-align:center; border: 1px solid\">");
       fprintf(fichtm, "\n<tr><th>Model=</th><th>1</th><th>+ age</th>");        fprintf(fichtm, "\n<tr><th>Model=</th><th>1</th><th>+ age</th>");
       if(nagesqr==1){        if(nagesqr==1){
Line 12581  Please run with mle=-1 to get a correct Line 12654  Please run with mle=-1 to get a correct
               printf("%12.7f(%12.7f) W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][jk]), p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk]));                printf("%12.7f(%12.7f) W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][jk]), p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk]));
               fprintf(ficlog,"%12.7f(%12.7f) W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][jk]), p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk]));                fprintf(ficlog,"%12.7f(%12.7f) W=%8.3f CI=[%12.7f ; %12.7f] ",p[jk],sqrt(matcov[jk][jk]), p[jk]/sqrt(matcov[jk][jk]), p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk]));
               if(fabs(wald) > 1.96){                if(fabs(wald) > 1.96){
                 fprintf(fichtm, "<td><b>%12.7f</b> (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk]));                  fprintf(fichtm, "<td><b>%12.7f</b></br> (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk]));
                 fprintf(fichtm,"<b>W=%8.3f</b></br>",wald);  
               }else{                }else{
                 fprintf(fichtm, "<td>%12.7f (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk]));                  fprintf(fichtm, "<td>%12.7f (%12.7f)</br>",p[jk],sqrt(matcov[jk][jk]));
                 fprintf(fichtm,"W=%8.3f</br>",wald);  
               }                }
                 fprintf(fichtm,"W=%8.3f</br>",wald);
               fprintf(fichtm,"[%12.7f;%12.7f]</br></td>", p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk]));                fprintf(fichtm,"[%12.7f;%12.7f]</br></td>", p[jk]-1.96*sqrt(matcov[jk][jk]),p[jk]+1.96*sqrt(matcov[jk][jk]));
               jk++;                 jk++; 
             }              }
Line 13188  Please run with mle=-1 to get a correct Line 13260  Please run with mle=-1 to get a correct
     for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */      for(k=1; k<=i1;k++){ /* For any combination of dummy covariates, fixed and varying */
       if(i1 != 1 && TKresult[nres]!= k)        if(i1 != 1 && TKresult[nres]!= k)
         continue;          continue;
       printf("\n#****** Result for:");        printf("\n# model %s \n#****** Result for:", model);
       fprintf(ficrest,"\n#****** Result for:");        fprintf(ficrest,"\n# model %s \n#****** Result for:", model);
       fprintf(ficlog,"\n#****** Result for:");        fprintf(ficlog,"\n# model %s \n#****** Result for:", model);
       for(j=1;j<=cptcoveff;j++){         for(j=1;j<=cptcoveff;j++){ 
         printf("V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,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(ficrest,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]);
Removed from v.1.319  
changed lines
  Added in v.1.326

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