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Diff for /imach/src/imach.c between versions 1.35 and 1.36

version 1.35, 2002/03/26 17:08:39 version 1.36, 2002/03/29 15:27:27
Line 136  int imx; Line 136  int imx;
 int stepm;  int stepm;
 /* Stepm, step in month: minimum step interpolation*/  /* Stepm, step in month: minimum step interpolation*/
   
   int estepm;
   /* Estepm, step in month to interpolate survival function in order to approximate Life Expectancy*/
   
 int m,nb;  int m,nb;
 int *num, firstpass=0, lastpass=4,*cod, *ncodemax, *Tage;  int *num, firstpass=0, lastpass=4,*cod, *ncodemax, *Tage;
 double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint;  double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint;
Line 1528  void tricode(int *Tvar, int **nbcode, in Line 1531  void tricode(int *Tvar, int **nbcode, in
   
 /*********** Health Expectancies ****************/  /*********** Health Expectancies ****************/
   
 void evsij(char fileres[], double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int ij)  void evsij(char fileres[], double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int ij, int estepm)
 {  {
   /* Health expectancies */    /* Health expectancies */
   int i, j, nhstepm, hstepm, h, nstepm, k;    int i, j, nhstepm, hstepm, h, nstepm;
   double age, agelim, hf;    double age, agelim, hf;
   double ***p3mat;    double ***p3mat;
     
Line 1542  void evsij(char fileres[], double ***eij Line 1545  void evsij(char fileres[], double ***eij
       fprintf(ficreseij," %1d-%1d",i,j);        fprintf(ficreseij," %1d-%1d",i,j);
   fprintf(ficreseij,"\n");    fprintf(ficreseij,"\n");
   
   k=1;             /* For example stepm=6 months */    if(estepm < stepm){
   hstepm=k*YEARM; /* (a) Every k years of age (in months), for example every k=2 years 24 m */      printf ("Problem %d lower than %d\n",estepm, stepm);
   hstepm=stepm;   /* or (b) We decided to compute the life expectancy with the smallest unit */    }
     else  hstepm=estepm;  
     /* We compute the life expectancy from trapezoids spaced every estepm months
      * This is mainly to measure the difference between two models: for example
      * if stepm=24 months pijx are given only every 2 years and by summing them
      * we are calculating an estimate of the Life Expectancy assuming a linear
      * progression inbetween and thus overestimating or underestimating according
      * to the curvature of the survival function. If, for the same date, we
      * estimate the model with stepm=1 month, we can keep estepm to 24 months
      * to compare the new estimate of Life expectancy with the same linear
      * hypothesis. A more precise result, taking into account a more precise
      * curvature will be obtained if estepm is as small as stepm. */
   
     /* For example we decided to compute the life expectancy with the smallest unit */
   /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm.    /* 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       nhstepm is the number of hstepm from age to agelim
      nstepm is the number of stepm from age to agelin.       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 of that which relies in memory size
      and note for a fixed period like k years */       and note for a fixed period like estepm months */
   /* We decided (b) to get a life expectancy respecting the most precise curvature of the    /* 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       survival function given by stepm (the optimization length). Unfortunately it
      means that if the survival funtion is printed only each two years of age and if       means that if the survival funtion is printed only each two years of age and if
      you sum them up and add 1 year (area under the trapezoids) you won't get the same       you sum them up and add 1 year (area under the trapezoids) you won't get the same
      results. So we changed our mind and took the option of the best precision.       results. So we changed our mind and took the option of the best precision.
   */    */
   hstepm=hstepm/stepm; /* Typically in stepm units, if k= 2 years, = 2/6 months = 4 */    hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */
   
   agelim=AGESUP;    agelim=AGESUP;
   for (age=bage; age<=fage; age ++){ /* If stepm=6 months */    for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
Line 1587  void evsij(char fileres[], double ***eij Line 1603  void evsij(char fileres[], double ***eij
 }  }
   
 /************ Variance ******************/  /************ Variance ******************/
 void varevsij(char fileres[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij)  void varevsij(char fileres[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij, int estepm)
 {  {
   /* 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;
   double **dnewm,**doldm;    double **dnewm,**doldm;
   int i, j, nhstepm, hstepm, h, nstepm, kk;    int i, j, nhstepm, hstepm, h, nstepm ;
   int k, cptcode;    int k, cptcode;
   double *xp;    double *xp;
   double **gp, **gm;    double **gp, **gm;
Line 1613  void varevsij(char fileres[], double *** Line 1629  void varevsij(char fileres[], double ***
   dnewm=matrix(1,nlstate,1,npar);    dnewm=matrix(1,nlstate,1,npar);
   doldm=matrix(1,nlstate,1,nlstate);    doldm=matrix(1,nlstate,1,nlstate);
     
   kk=1;             /* For example stepm=6 months */    if(estepm < stepm){
   hstepm=kk*YEARM; /* (a) Every k years of age (in months), for example every k=2 years 24 m */      printf ("Problem %d lower than %d\n",estepm, stepm);
   hstepm=stepm;   /* or (b) We decided to compute the life expectancy with the smallest unit */    }
     else  hstepm=estepm;  
     /* For example we decided to compute the life expectancy with the smallest unit */
   /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm.    /* 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       nhstepm is the number of hstepm from age to agelim
      nstepm is the number of stepm from age to agelin.       nstepm is the number of stepm from age to agelin.
Line 1627  void varevsij(char fileres[], double *** Line 1645  void varevsij(char fileres[], double ***
      you sum them up and add 1 year (area under the trapezoids) you won't get the same       you sum them up and add 1 year (area under the trapezoids) you won't get the same
      results. So we changed our mind and took the option of the best precision.       results. So we changed our mind and took the option of the best precision.
   */    */
   hstepm=hstepm/stepm; /* Typically in stepm units, if k= 2 years, = 2/6 months = 4 */    hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */
   agelim = AGESUP;    agelim = AGESUP;
   for (age=bage; age<=fage; age ++){ /* If stepm=6 months */    for (age=bage; age<=fage; age ++){ /* If stepm=6 months */
     nstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */      nstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */
Line 1913  void printinghtml(char fileres[], char t Line 1931  void printinghtml(char fileres[], char t
  int lastpass, int stepm, int weightopt, char model[],\   int lastpass, int stepm, int weightopt, char model[],\
  int imx,int jmin, int jmax, double jmeanint,char optionfile[], \   int imx,int jmin, int jmax, double jmeanint,char optionfile[], \
  char optionfilehtm[],char rfileres[], char optionfilegnuplot[],\   char optionfilehtm[],char rfileres[], char optionfilegnuplot[],\
  char version[], int popforecast ){   char version[], int popforecast, int estepm ){
   int jj1, k1, i1, cpt;    int jj1, k1, i1, cpt;
   FILE *fichtm;    FILE *fichtm;
   /*char optionfilehtm[FILENAMELENGTH];*/    /*char optionfilehtm[FILENAMELENGTH];*/
Line 1936  Interval (in months) between two waves: Line 1954  Interval (in months) between two waves:
  - Observed prevalence in each state: <a href=\"p%s\">p%s</a> <br>\n   - Observed prevalence in each state: <a href=\"p%s\">p%s</a> <br>\n
  - Stationary prevalence in each state: <a href=\"pl%s\">pl%s</a> <br>\n   - Stationary prevalence in each state: <a href=\"pl%s\">pl%s</a> <br>\n
  - Transition probabilities: <a href=\"pij%s\">pij%s</a><br>\n   - Transition probabilities: <a href=\"pij%s\">pij%s</a><br>\n
  - Life expectancies by age and initial health status: <a href=\"e%s\">e%s</a> <br>\n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,optionfilegnuplot,optionfilegnuplot,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres);   - Life expectancies by age and initial health status (estepm=%2d months): <a href=\"e%s\">e%s</a> <br>\n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,optionfilegnuplot,optionfilegnuplot,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,estepm);
   
  fprintf(fichtm,"\n   fprintf(fichtm,"\n
  - Parameter file with estimated parameters and the covariance matrix: <a href=\"%s\">%s</a> <br>\n   - Parameter file with estimated parameters and the covariance matrix: <a href=\"%s\">%s</a> <br>\n
  - Variances of life expectancies by age and initial health status: <a href=\"v%s\">v%s</a><br>\n   - Variances of life expectancies by age and initial health status (estepm=%d months): <a href=\"v%s\">v%s</a><br>\n
  - Health expectancies with their variances: <a href=\"t%s\">t%s</a> <br>\n   - Health expectancies with their variances: <a href=\"t%s\">t%s</a> <br>\n
  - Standard deviation of stationary prevalences: <a href=\"vpl%s\">vpl%s</a> <br>\n",rfileres,rfileres,fileres,fileres,fileres,fileres,fileres,fileres);   - Standard deviation of stationary prevalences: <a href=\"vpl%s\">vpl%s</a> <br>\n",rfileres,rfileres, estepm, fileres,fileres,fileres,fileres,fileres,fileres);
   
  if(popforecast==1) fprintf(fichtm,"\n   if(popforecast==1) fprintf(fichtm,"\n
  - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n   - Prevalences forecasting: <a href=\"f%s\">f%s</a> <br>\n
Line 3021  printf("Total number of individuals= %d, Line 3039  printf("Total number of individuals= %d,
       fputs(line,ficparo);        fputs(line,ficparo);
     }      }
     ungetc(c,ficpar);      ungetc(c,ficpar);
        estepm=0;
     fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf\n",&ageminpar,&agemaxpar, &bage, &fage);      fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm);
          if (estepm==0 || estepm < stepm) estepm=stepm;
     if (fage <= 2) {      if (fage <= 2) {
       bage = ageminpar;        bage = ageminpar;
       fage = agemaxpar;        fage = agemaxpar;
     }      }
         
     fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n");      fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n");
     fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",ageminpar,agemaxpar,bage,fage);      fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);
     fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",ageminpar,agemaxpar,bage,fage);      fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm);
     
     while((c=getc(ficpar))=='#' && c!= EOF){      while((c=getc(ficpar))=='#' && c!= EOF){
     ungetc(c,ficpar);      ungetc(c,ficpar);
Line 3105  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3123  while((c=getc(ficpar))=='#' && c!= EOF){
   
 /*--------- index.htm --------*/  /*--------- index.htm --------*/
   
   printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,model,imx,jmin,jmax,jmean,optionfile,optionfilehtm,rfileres,optionfilegnuplot,version,popforecast);    printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,model,imx,jmin,jmax,jmean,optionfile,optionfilehtm,rfileres,optionfilegnuplot,version,popforecast,estepm);
   
     
   /*--------------- Prevalence limit --------------*/    /*--------------- Prevalence limit --------------*/
Line 3265  while((c=getc(ficpar))=='#' && c!= EOF){ Line 3283  while((c=getc(ficpar))=='#' && c!= EOF){
   
       eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);        eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
       oldm=oldms;savm=savms;        oldm=oldms;savm=savms;
       evsij(fileres, eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k);          evsij(fileres, eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm);  
       vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);        vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage);
       oldm=oldms;savm=savms;        oldm=oldms;savm=savms;
        varevsij(fileres, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k);         varevsij(fileres, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm);
         
   
     
Removed from v.1.35  
changed lines
  Added in v.1.36

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