");
fprintf(ficresphtmfr,"| Age | ");
- for(jk=-1; jk <=nlstate+ndeath; jk++){
+ for(s2=-1; s2 <=nlstate+ndeath; s2++){
for(m=-1; m <=nlstate+ndeath; m++){
- if(jk!=0 && m!=0)
- fprintf(ficresphtmfr,"%d%d | ",jk,m);
+ if(s2!=0 && m!=0)
+ fprintf(ficresphtmfr,"%d%d | ",s2,m);
}
}
fprintf(ficresphtmfr, "\n");
@@ -4577,97 +4625,112 @@ Title=%s
Datafile=%s Firstpass=%d La
fprintf(ficresphtmfr,"| %d | ",iage);
fprintf(ficlog,"Age %d", iage);
}
- for(jk=1; jk <=nlstate ; jk++){
- for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++)
- pp[jk] += freq[jk][m][iage];
+ for(s1=1; s1 <=nlstate ; s1++){
+ for(m=-1, pp[s1]=0; m <=nlstate+ndeath ; m++)
+ pp[s1] += freq[s1][m][iage];
}
- for(jk=1; jk <=nlstate ; jk++){
+ for(s1=1; s1 <=nlstate ; s1++){
for(m=-1, pos=0; m <=0 ; m++)
- pos += freq[jk][m][iage];
- if(pp[jk]>=1.e-10){
+ pos += freq[s1][m][iage];
+ if(pp[s1]>=1.e-10){
if(first==1){
- printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
+ printf(" %d.=%.0f loss[%d]=%.1f%%",s1,pp[s1],s1,100*pos/pp[s1]);
}
- fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]);
+ fprintf(ficlog," %d.=%.0f loss[%d]=%.1f%%",s1,pp[s1],s1,100*pos/pp[s1]);
}else{
if(first==1)
- printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk);
- fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk);
+ printf(" %d.=%.0f loss[%d]=NaNQ%%",s1,pp[s1],s1);
+ fprintf(ficlog," %d.=%.0f loss[%d]=NaNQ%%",s1,pp[s1],s1);
}
}
- for(jk=1; jk <=nlstate ; jk++){
- /* posprop[jk]=0; */
- for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++)/* Summing on all ages */
- pp[jk] += freq[jk][m][iage];
- } /* pp[jk] is the total number of transitions starting from state jk and any ending status until this age */
-
- for(jk=1,pos=0, pospropta=0.; jk <=nlstate ; jk++){
- pos += pp[jk]; /* pos is the total number of transitions until this age */
- posprop[jk] += prop[jk][iage]; /* prop is the number of transitions from a live state
- from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */
- pospropta += prop[jk][iage]; /* prop is the number of transitions from a live state
- from jk at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */
+ for(s1=1; s1 <=nlstate ; s1++){
+ /* posprop[s1]=0; */
+ for(m=0, pp[s1]=0; m <=nlstate+ndeath; m++)/* Summing on all ages */
+ pp[s1] += freq[s1][m][iage];
+ } /* pp[s1] is the total number of transitions starting from state s1 and any ending status until this age */
+
+ for(s1=1,pos=0, pospropta=0.; s1 <=nlstate ; s1++){
+ 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
+ from s1 at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */
+ pospropta += prop[s1][iage]; /* prop is the number of transitions from a live state
+ from s1 at age iage prop[s[m][iind]][(int)agev[m][iind]] += weight[iind] */
}
- for(jk=1; jk <=nlstate ; jk++){
+
+ /* Writing ficresp */
+ if(cptcoveff==0 && nj==1){ /* no covariate and first pass */
+ if( iage <= iagemax){
+ 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%%",jk,pp[jk],jk,100*pp[jk]/pos);
- fprintf(ficlog," %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos);
+ 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%%",jk,pp[jk],jk);
- fprintf(ficlog," %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk);
+ 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){
- fprintf(ficresp," %d %.5f %.0f %.0f",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta);
- /* fprintf(ficresp, "%d %d %d %.5f %.0f %.0f",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)],iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta); */
-
- fprintf(ficresphtm,"%d | %.5f | %.0f | %.0f | ",iage,prop[jk][iage]/pospropta, prop[jk][iage],pospropta);
- /*probs[iage][jk][j1]= pp[jk]/pos;*/
- /*printf("\niage=%d jk=%d j1=%d %.5f %.0f %.0f %f",iage,jk,j1,pp[jk]/pos, pp[jk],pos,probs[iage][jk][j1]);*/
- }
- else{
- fprintf(ficresp," %d NaNq %.0f %.0f",iage,prop[jk][iage],pospropta);
- fprintf(ficresphtm,"%d | NaNq | %.0f | %.0f | ",iage, prop[jk][iage],pospropta);
+ 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,"%d | %.5f | %.0f | %.0f | ",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,"%d | NaNq | %.0f | %.0f | ",iage, prop[s1][iage],pospropta);
}
}
- pospropt[jk] +=posprop[jk];
- } /* end loop jk */
+ pospropt[s1] +=posprop[s1];
+ } /* end loop s1 */
/* pospropt=0.; */
- for(jk=-1; jk <=nlstate+ndeath; jk++){
+ for(s1=-1; s1 <=nlstate+ndeath; s1++){
for(m=-1; m <=nlstate+ndeath; m++){
- if(freq[jk][m][iage] !=0 ) { /* minimizing output */
+ if(freq[s1][m][iage] !=0 ) { /* minimizing output */
if(first==1){
- printf(" %d%d=%.0f",jk,m,freq[jk][m][iage]);
+ printf(" %d%d=%.0f",s1,m,freq[s1][m][iage]);
}
- /* printf(" %d%d=%.0f",jk,m,freq[jk][m][iage]); */
- fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][iage]);
+ /* printf(" %d%d=%.0f",s1,m,freq[s1][m][iage]); */
+ fprintf(ficlog," %d%d=%.0f",s1,m,freq[s1][m][iage]);
}
- if(jk!=0 && m!=0)
- fprintf(ficresphtmfr,"%.0f | ",freq[jk][m][iage]);
+ if(s1!=0 && m!=0)
+ fprintf(ficresphtmfr,"%.0f | ",freq[s1][m][iage]);
}
- } /* end loop jk */
+ } /* end loop s1 */
posproptt=0.;
- for(jk=1; jk <=nlstate; jk++){
- posproptt += pospropt[jk];
+ for(s1=1; s1 <=nlstate; s1++){
+ posproptt += pospropt[s1];
}
fprintf(ficresphtmfr,"
|---|
\n ");
- if(iage <= iagemax){
- fprintf(ficresp,"\n");
- fprintf(ficresphtm,"\n");
+ fprintf(ficresphtm,"\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,"| Tot | ");
- for(jk=1; jk <=nlstate ; jk++){
+ for(s1=1; s1 <=nlstate ; s1++){
if(posproptt < 1.e-5){
- fprintf(ficresphtm,"Nanq | %.0f | %.0f | ",pospropt[jk],posproptt);
+ fprintf(ficresphtm,"Nanq | %.0f | %.0f | ",pospropt[s1],posproptt);
}else{
- fprintf(ficresphtm,"%.5f | %.0f | %.0f | ",pospropt[jk]/posproptt,pospropt[jk],posproptt);
+ fprintf(ficresphtm,"%.5f | %.0f | %.0f | ",pospropt[s1]/posproptt,pospropt[s1],posproptt);
}
}
fprintf(ficresphtm,"
|---|
\n");
@@ -4687,66 +4750,68 @@ Title=%s
Datafile=%s Firstpass=%d La
fprintf(ficlog,"\n");
if(j!=0){
printf("#Freqsummary: Starting values for combination j1=%d:\n", j1);
- for(i=1,jk=1; i <=nlstate; i++){
+ 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 jk */
+ 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[jk],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[jk],freq[i][k][iagemax+3],freq[i][i][iagemax+3], log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3]));
- pstart[jk]= log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3]);
+ 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, jk=%d, j1=%d, jj=%d, y[%d]=%f\n",i,k,jk,j1,jj, iage, y[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[jk]=b;
- pstart[jk-1]=a;
+ 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[jk]= log((freq[i][k][iagemax+3]/freq[i][i][iagemax+3])/(freq[i][k][iagemax+4]/freq[i][i][iagemax+4]));
+ 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("jk=%d,i=%d,k=%d,p[%d]=%12.7f ln((%.0f/%.0f)/(%.0f/%.0f))= %f, OR=%f sd=%f \n",jk,i,k,jk,p[jk],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]));
+ 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]); */
- jk++;
+ s1++;
} /* end jj */
} /* end k!= i */
} /* end k */
- } /* end i, jk */
+ } /* 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,jk=1; i <=nlstate; i++){
+ 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[jk]=p[jk]; /* Setting pstart to p values by default */
+ pstart[s1]=p[s1]; /* Setting pstart to p values by default */
if(jj==1){ /* Age has to be done */
- pstart[jk]= log(freq[i][k][iagemax+3]/freq[i][i][iagemax+3]);
- printf("%12.7f ln(%.0f/%.0f)= %12.7f ",p[jk],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[jk],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]);
+ 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]); */
- jk++;
+ s1++;
}
printf("\n");
fprintf(ficlog,"\n");
@@ -4755,17 +4820,17 @@ Title=%s
Datafile=%s Firstpass=%d La
}
printf("#Freqsummary\n");
fprintf(ficlog,"\n");
- for(jk=-1; jk <=nlstate+ndeath; jk++){
- for(m=-1; m <=nlstate+ndeath; m++){
- /* param[i]|j][k]= freq[jk][m][iagemax+3] */
- printf(" %d%d=%.0f",jk,m,freq[jk][m][iagemax+3]);
- fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][iagemax+3]);
- /* if(freq[jk][m][iage] !=0 ) { /\* minimizing output *\/ */
- /* printf(" %d%d=%.0f",jk,m,freq[jk][m][iagemax+3]); */
- /* fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][iagemax+3]); */
+ 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 jk */
+ } /* end loop s1 */
printf("\n");
fprintf(ficlog,"\n");
@@ -4810,6 +4875,72 @@ Title=%s
Datafile=%s Firstpass=%d La
/* End of freqsummary */
}
+/* 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)
{
@@ -4899,7 +5030,10 @@ void prevalence(double ***probs, double
} else{
if(first==1){
first=0;
- 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]);
+ fprintf(ficlog,"Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,jk, j1,probs[i][jk][j1]);
+ }else{
+ fprintf(ficlog,"Warning Observed prevalence doesn't sum to 1 for state %d: probs[%d][%d][%d]=%lf because of lack of cases\nSee others in log file...\n",jk,i,jk, j1,probs[i][jk][j1]);
}
}
}
@@ -5339,7 +5473,7 @@ void concatwav(int wav[], int **dh, int
/* 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
@@ -5570,7 +5704,8 @@ void concatwav(int wav[], int **dh, int
/* 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.;
@@ -5585,6 +5720,7 @@ void concatwav(int wav[], int **dh, int
}
fprintf(ficresstdeij,"\n");
+ /* Variance of expectancies ij */
fprintf(ficrescveij,"%3.0f",age );
for(i=1; i<=nlstate;i++)
for(j=1; j<=nlstate;j++){
@@ -5938,12 +6074,12 @@ void concatwav(int wav[], int **dh, int
} /* 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[], int nres)
+ 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;
@@ -5962,7 +6098,7 @@ void concatwav(int wav[], int **dh, int
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 */
@@ -6032,11 +6168,11 @@ void concatwav(int wav[], int **dh, int
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(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg);
+ matprod2(dnewmpar,trgradg,1,nlstate,1,npar,1,npar,matcov);
+ matprod2(doldm,dnewmpar,1,nlstate,1,npar,1,nlstate,gradg);
}else{
- matprod2(dnewm,trgradg,1,nlstate,1,npar,1,npar,matcov);
- matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg);
+ 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++)
varpl[i][(int)age] = doldm[i][i]; /* Covariances are useless */
@@ -6057,55 +6193,180 @@ void concatwav(int wav[], int **dh, int
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 one-step probabilities ******************/
-void varprob(char optionfilefiname[], double **matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij, int *Tvar, int **nbcode, int *ncodemax, char strstart[])
- {
- int i, j=0, k1, l1, tj;
- int k2, l2, j1, z1;
- int k=0, l;
- int first=1, first1, first2;
- double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;
- double **dnewm,**doldm;
- double *xp;
- double *gp, *gm;
- double **gradg, **trgradg;
- double **mu;
- double age, cov[NCOVMAX+1];
- double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */
- int theta;
- char fileresprob[FILENAMELENGTH];
- char fileresprobcov[FILENAMELENGTH];
- char fileresprobcor[FILENAMELENGTH];
- double ***varpij;
- strcpy(fileresprob,"PROB_");
- strcat(fileresprob,fileres);
- if((ficresprob=fopen(fileresprob,"w"))==NULL) {
- printf("Problem with resultfile: %s\n", fileresprob);
- fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob);
- }
- strcpy(fileresprobcov,"PROBCOV_");
- strcat(fileresprobcov,fileresu);
- if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) {
- printf("Problem with resultfile: %s\n", fileresprobcov);
- fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov);
- }
- strcpy(fileresprobcor,"PROBCOR_");
- strcat(fileresprobcor,fileresu);
- if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) {
- printf("Problem with resultfile: %s\n", fileresprobcor);
- fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor);
- }
- printf("Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob);
- fprintf(ficlog,"Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob);
- printf("Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov);
- fprintf(ficlog,"Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov);
- printf("and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
- fprintf(ficlog,"and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
+/************ 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);
+
+}
+
+/************ Variance of one-step probabilities ******************/
+void varprob(char optionfilefiname[], double **matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij, int *Tvar, int **nbcode, int *ncodemax, char strstart[])
+ {
+ int i, j=0, k1, l1, tj;
+ int k2, l2, j1, z1;
+ int k=0, l;
+ int first=1, first1, first2;
+ double cv12, mu1, mu2, lc1, lc2, v12, v21, v11, v22,v1,v2, c12, tnalp;
+ double **dnewm,**doldm;
+ double *xp;
+ double *gp, *gm;
+ double **gradg, **trgradg;
+ double **mu;
+ double age, cov[NCOVMAX+1];
+ double std=2.0; /* Number of standard deviation wide of confidence ellipsoids */
+ int theta;
+ char fileresprob[FILENAMELENGTH];
+ char fileresprobcov[FILENAMELENGTH];
+ char fileresprobcor[FILENAMELENGTH];
+ double ***varpij;
+
+ strcpy(fileresprob,"PROB_");
+ strcat(fileresprob,fileres);
+ if((ficresprob=fopen(fileresprob,"w"))==NULL) {
+ printf("Problem with resultfile: %s\n", fileresprob);
+ fprintf(ficlog,"Problem with resultfile: %s\n", fileresprob);
+ }
+ strcpy(fileresprobcov,"PROBCOV_");
+ strcat(fileresprobcov,fileresu);
+ if((ficresprobcov=fopen(fileresprobcov,"w"))==NULL) {
+ printf("Problem with resultfile: %s\n", fileresprobcov);
+ fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcov);
+ }
+ strcpy(fileresprobcor,"PROBCOR_");
+ strcat(fileresprobcor,fileresu);
+ if((ficresprobcor=fopen(fileresprobcor,"w"))==NULL) {
+ printf("Problem with resultfile: %s\n", fileresprobcor);
+ fprintf(ficlog,"Problem with resultfile: %s\n", fileresprobcor);
+ }
+ printf("Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob);
+ fprintf(ficlog,"Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob);
+ printf("Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov);
+ fprintf(ficlog,"Computing matrix of variance covariance of one-step probabilities: result on file '%s' \n",fileresprobcov);
+ printf("and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
+ fprintf(ficlog,"and correlation matrix of one-step probabilities: result on file '%s' \n",fileresprobcor);
pstamp(ficresprob);
fprintf(ficresprob,"#One-step probabilities and stand. devi in ()\n");
fprintf(ficresprob,"# Age");
@@ -6137,7 +6398,7 @@ void varprob(char optionfilefiname[], do
fprintf(fichtm,"\n Computing and drawing one step probabilities with their confidence intervals
\n");
fprintf(fichtm,"\n");
- fprintf(fichtm,"\n 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.\n",optionfilehtmcov);
+ fprintf(fichtm,"\n this page is important in order to visualize confidence intervals and especially correlation between disability and recovery, or more generally, way in and way back. %s\n",optionfilehtmcov,optionfilehtmcov);
fprintf(fichtmcov,"Current page is file %s
\n\nMatrix of variance-covariance of pairs of step probabilities
\n",optionfilehtmcov, optionfilehtmcov);
fprintf(fichtmcov,"\nEllipsoids of confidence centered on point (pij, pkl) are estimated \
and drawn. It helps understanding how is the covariance between two incidences.\
@@ -6354,7 +6615,7 @@ 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
Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year-1\
+ fprintf(fichtmcov,"\n
Ellipsoids of confidence cov(p%1d%1d,p%1d%1d) expressed in year-1\
: \
%s_%d%1d%1d-%1d%1d.svg, ",k1,l1,k2,l2,\
subdirf2(optionfilefiname,"VARPIJGR_"), j1,k1,l1,k2,l2, \
@@ -6365,16 +6626,16 @@ 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), \
- mu2,std,v21,sqrt(lc1),v22,sqrt(lc2));
+ mu1,std,v11,sqrt(lc1),v12,sqrt(fabs(lc2)), \
+ mu2,std,v21,sqrt(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), \
- mu2,std,v21,sqrt(lc1),v22,sqrt(lc2));
+ mu1,std,v11,sqrt(lc1),v12,sqrt(fabs(lc2)), \
+ mu2,std,v21,sqrt(lc1),v22,sqrt(fabs(lc2)));
}/* if first */
} /* age mod 5 */
} /* end loop age */
@@ -6558,10 +6819,17 @@ divided by h: hPij
if(prevfcast==1){
/* Projection of prevalence up to period (stable) prevalence in each health state */
for(cpt=1; cpt<=nlstate;cpt++){
- fprintf(fichtm,"
\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d) up to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. %s_%d-%d-%d.svg
\
+ fprintf(fichtm,"
\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d) up to period (stable) prevalence in state %d. Or probability to be in state %d being in an observed weighted state (from 1 to %d). %s_%d-%d-%d.svg
\
![](\"%s_%d-%d-%d.svg\")
", dateprev1, dateprev2, mobilavproj, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres,subdirf2(optionfilefiname,"PROJ_"),cpt,k1,nres);
}
}
+ if(backcast==1){
+ /* Back projection of prevalence up to stable (mixed) back-prevalence in each health state */
+ for(cpt=1; cpt<=nlstate;cpt++){
+ fprintf(fichtm,"
\n- Back projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f and mobil_average=%d) up to stable (mixed) back prevalence in state %d. 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. %s_%d-%d-%d.svg
\
+", dateprev1, dateprev2, mobilavproj, 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
- 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): %s_%d-%d-%d.svg
\
@@ -6665,7 +6933,7 @@ true period expectancies (those weighted
}
/******************* 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 backcast, char pathc[], double p[], int offyear, int offbyear){
char dirfileres[132],optfileres[132];
char gplotcondition[132], gplotlabel[132];
@@ -6674,7 +6942,10 @@ void printinggnuplot(char fileresu[], ch
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); */
@@ -6773,7 +7044,34 @@ void printinggnuplot(char fileresu[], ch
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:($%d) t\"Observed prevalence\" w l lt 2",subdirf2(fileresu,"P_"),k1-1,k1-1,2+4*(cpt-1));
+ /* fprintf(ficgp,"\" t\"\" w l lt 1,\"%s\" every :::%d::%d u 1:($%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 */
+ 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)? $%d : 1/0) t 'Observed prevalence in state %d' w l lt 2",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv], \
+ 2+cptcoveff*2+3*(cpt-1), cpt ); /* 4 or 6 ?*/
+ }else{
+ fprintf(ficgp,"$%d==%d && $%d==%d && ",kl+1, Tvaraff[k],kl+1+1,nbcode[Tvaraff[k]][lv]);
+ kl++;
+ }
+ } /* end covariate */
+ } /* end if no covariate */
+
if(backcast==1){ /* We need to get the corresponding values of the covariates involved in this combination k1 */
/* fprintf(ficgp,",\"%s\" every :::%d::%d u 1:($%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 */
@@ -6801,6 +7099,25 @@ void printinggnuplot(char fileresu[], ch
}
} /* end covariate */
} /* end if no covariate */
+ if(backcast == 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 5,\"%s\" every :::%d::%d u 1:($2==%d ? $3-1.96*$4 : 1/0) \"%%lf %%lf",subdirf2(fileresu,"VBL_"),nres-1,nres-1,nres);
+ for (i=1; i<= nlstate ; i ++) {
+ if (i==cpt) fprintf(ficgp," %%lf (%%lf)");
+ else fprintf(ficgp," %%*lf (%%*lf)");
+ }
+ fprintf(ficgp,"\" t\"\" w l lt 5");
+ } /* end if backprojcast */
} /* end if backcast */
fprintf(ficgp,"\nset out ;unset label;\n");
} /* nres */
@@ -7094,7 +7411,7 @@ set ter svg size 640, 480\nunset log y\n
for(nres=1; nres <= nresult; nres++){ /* For each resultline */
if(m != 1 && TKresult[nres]!= k1)
continue;
- for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life ending state */
+ for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life origin state */
strcpy(gplotlabel,"(");
fprintf(ficgp,"\n#\n#\n#CV Back preval stable (period): 'pijb' files, covariatecombination#=%d state=%d",k1, cpt);
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */
@@ -7118,11 +7435,11 @@ set ter svg size 640, 480\nunset log y\n
}
fprintf(ficgp,"\nset out \"%s_%d-%d-%d.svg\" \n",subdirf2(optionfilefiname,"PB_"),cpt,k1,nres);
- fprintf(ficgp,"set label \"Ending alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel);
+ fprintf(ficgp,"set label \"Origin alive state %d %s\" at graph 0.98,0.5 center rotate font \"Helvetica,12\"\n",cpt,gplotlabel);
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\
set ter svg size 640, 480\nunset log y\nplot [%.f:%.f] ", ageminpar, agemaxpar);
k=3; /* Offset */
- for (i=1; i<= nlstate ; i ++){ /* State of origin */
+ for (i=1; i<= nlstate ; i ++){ /* State of arrival */
if(i==1)
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJB_"));
else
@@ -7135,7 +7452,7 @@ set ter svg size 640, 480\nunset log y\n
/* for (j=2; j<= nlstate ; j ++) */
/* fprintf(ficgp,"+$%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; unset label;\n");
} /* end cpt state*/
@@ -7178,12 +7495,16 @@ set ter svg size 640, 480\nunset log y\n
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\nunset log y\nplot [%.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 '' ");
@@ -7195,20 +7516,23 @@ set ter svg size 640, 480\nunset log y\n
/*# 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)) t 'pw.%d' with line ", \
+ if(i==nlstate+1){
+ 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=4; /* Age is in 4 */
- }else{
- ioffset=6; /* Age is in 6 */
- /*# 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 */
- }
+ 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,"(");
@@ -7230,8 +7554,14 @@ set ter svg size 640, 480\nunset log y\n
/*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, \
- ioffset+(cpt-1)*(nlstate+1)+1+(i-1), ioffset+1+(i-1)+(nlstate+1)*nlstate,cpt );
+ 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,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 );
@@ -7243,6 +7573,121 @@ set ter svg size 640, 480\nunset log y\n
} /* end covariate */
} /* End if prevfcast */
+ if(backcast==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 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 backcast */
+
/* 9eme writing MLE parameters */
fprintf(ficgp,"\n##############\n#9eme MLE estimated parameters\n#############\n");
@@ -7349,36 +7794,40 @@ set ter svg size 640, 480\nunset log y\n
/* 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(j==Tage[ij]) { /* Product by age */
- if(ij <=cptcovage) { /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */
- if(DummyV[j]==0){
- 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(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]]);
+ 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(ij <=cptcovage) { /* V5+V4+V3+V4*V3+V5*age+V2+V1*V2+V1*age+V1, 2 V5 and V1 */
+ if(DummyV[j]==0){
+ 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])]); */
}
- }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]]);
+ 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++;
}
- 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){
@@ -7406,15 +7855,16 @@ set ter svg size 640, 480\nunset log y\n
ij=1;
for(j=3; j <=ncovmodel-nagesqr; j++){
- if((j-2)==Tage[ij]) { /* Bug valgrind */
- if(ij <=cptcovage) { /* Bug valgrind */
- fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);
- /* fprintf(ficgp,"+p%d*%d*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+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);/* Valgrind bug nbcode */
+ if(cptcovage >0){
+ if((j-2)==Tage[ij]) { /* Bug valgrind */
+ if(ij <=cptcovage) { /* Bug valgrind */
+ fprintf(ficgp,"+p%d*%d*x",k3+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);
+ /* fprintf(ficgp,"+p%d*%d*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+(cpt-1)*ncovmodel+1+j-2+nagesqr,nbcode[Tvar[j-2]][codtabm(k1,j-2)]);/* Valgrind bug nbcode */
}
fprintf(ficgp,")");
}
@@ -7451,10 +7901,11 @@ set ter svg size 640, 480\nunset log y\n
int mobilavrange, mob;
int iage=0;
- double sum=0.;
+ double sum=0., sumr=0.;
double age;
- double *sumnewp, *sumnewm;
- double *agemingood, *agemaxgood; /* Currently identical for all covariates */
+ double *sumnewp, *sumnewm, *sumnewmr;
+ double *agemingood, *agemaxgood;
+ double *agemingoodr, *agemaxgoodr;
/* modcovmax=2*cptcoveff;/\* Max number of modalities. We suppose */
@@ -7462,19 +7913,22 @@ set ter svg size 640, 480\nunset log y\n
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;
- agemaxgood[cptcod]=0;
+ agemingood[cptcod]=0, agemingoodr[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) mobilavrange=5; /* default */
+ if(mobilav==-1 || mobilav==1||mobilav ==3 ||mobilav==5 ||mobilav== 7){
+ if(mobilav==1 || mobilav==-1) mobilavrange=5; /* default */
else mobilavrange=mobilav;
for (age=bage; age<=fage; age++)
for (i=1; i<=nlstate;i++)
@@ -7486,77 +7940,143 @@ set ter svg size 640, 480\nunset log y\n
*/
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; age--){/* From oldest to youngest, finding the youngest wrong */
+ for (age=fage-(mob-1)/2; age>=bage+(mob-1)/2; age--){ /*looking for the youngest and oldest good 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 */
+ agemingoodr[cptcod]=age;
}
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 */
- }/* 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++){
+ agemingood[cptcod]=age;
+ }
+ } /* age */
+ for (age=bage+(mob-1)/2; age<=fage-(mob-1)/2; age++){ /*looking for the youngest and oldest good 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++){
- mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemaxgood[cptcod]][i][cptcod];
- } /* i */
+ }
+ } /* age */
+ /* Thus we have agemingood and agemaxgood as well as goodr for raw (preobs) */
+ /* but they will change */
+ 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 */
+ printf("Moving average A1: For this combination of covariate cptcod=%d, we can't get a smoothed prevalence which sums to one (%f) at any descending age! age=%d, could you increase bage=%d\n",cptcod,sumr, (int)age, (int)bage);
+ } /* 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 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++){
- sum+=mobaverage[(int)agemaxgood[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 ascending age!\n",cptcod);
- /* for (i=1; i<=nlstate;i++){ */
- /* mobaverage[(int)age][i][cptcod]=mobaverage[(int)agemingood[cptcod]][i][cptcod]; */
- /* } /\* i *\/ */
- } /* end bad */
+
+ for (age=bage+(mob-1)/2; age<=fage; age++){/* From youngest, finding the oldest 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(mobilav==-1){ /* Forcing raw ages if good else agemingood */
+ 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); */
@@ -7571,40 +8091,44 @@ set ter svg size 640, 480\nunset log y\n
}
/* printf("\n"); */
/* } */
+
/* brutal averaging */
- for (i=1; i<=nlstate;i++){
- for (age=1; age<=bage; age++){
- 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]); */
- }
- for (age=fage; age<=AGESUP; age++){
- 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]); */
- }
- } /* end i status */
- for (i=nlstate+1; i<=nlstate+ndeath;i++){
- for (age=1; age<=AGESUP; age++){
- /*printf("i=%d, age=%d, cptcod=%d\n",i, (int)age, cptcod);*/
- mobaverage[(int)age][i][cptcod]=0.;
- }
- }
+ /* for (i=1; i<=nlstate;i++){ */
+ /* for (age=1; age<=bage; age++){ */
+ /* 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]); *\/ */
+ /* } */
+ /* for (age=fage; age<=AGESUP; age++){ */
+ /* 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]); *\/ */
+ /* } */
+ /* } /\* end i status *\/ */
+ /* for (i=nlstate+1; i<=nlstate+ndeath;i++){ */
+ /* for (age=1; age<=AGESUP; age++){ */
+ /* /\*printf("i=%d, age=%d, cptcod=%d\n",i, (int)age, cptcod);*\/ */
+ /* mobaverage[(int)age][i][cptcod]=0.; */
+ /* } */
+ /* } */
}/* end cptcod */
- free_vector(sumnewm,1, ncovcombmax);
- free_vector(sumnewp,1, ncovcombmax);
+ free_vector(agemaxgoodr,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 anproj1, double mproj1, double jproj1, double ageminpar, double agemax, double dateprev1, double dateprev2, int mobilav, double ***prev, double bage, double fage, int firstpass, int lastpass, double anproj2, double p[], int cptcoveff){
/* proj1, year, month, day of starting projection
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, k4, nres=0;
+ 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 *popeffectif,*popcount;
@@ -7637,7 +8161,12 @@ set ter svg size 640, 480\nunset log y\n
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
@@ -7682,39 +8211,41 @@ set ter svg size 640, 480\nunset log y\n
for (yearp=0; yearp<=(anproj2-anproj1);yearp +=stepsize) {
fprintf(ficresf,"\n");
fprintf(ficresf,"\n# Forecasting at date %.lf/%.lf/%.lf ",jproj1,mproj1,anproj1+yearp);
- for (agec=fage; agec>=(ageminpar-1); agec--){
+ /* 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) {
- 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 ",anproj1+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][k];
- else {
- ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][k];
- }
- if (h*hstepm/YEARM*stepm== yearp) {
- fprintf(ficresf," %.3f", p3mat[i][j][h]);
- }
- } /* end i */
- if (h*hstepm/YEARM*stepm==yearp) {
- fprintf(ficresf," %.3f", ppij);
- }
- }/* end j */
- } /* end h */
+ 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 ",anproj1+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 */
+ /* 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 */
@@ -7724,135 +8255,273 @@ set ter svg size 640, 480\nunset log y\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;} */
+/************** 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){
+ /* 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 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,jprojmean,mprojmean,anprojmean;
+ 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); */
-/* fprintf(ficresfb,"# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,dateintmean,dateprev1,dateprev2); */
+ 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);
-/* fprintf(ficresfb,"#****** Routine prevbackforecast **\n"); */
-
-/* /\* if (h==(int)(YEARM*yearp)){ *\/ */
-/* 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"); */
+ 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 */
+ 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=pow(2,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);
+ printf("# Mean day of interviews %.lf/%.lf/%.lf (%.2f) between %.2f and %.2f \n",jprojmean,mprojmean,anprojmean,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)]);
+ }
+ for (k4=1; k4<= nsq; k4++){ /* For each selected (single) quantitative value */
+ fprintf(ficresf," V%d=%f ",Tvqresult[nres][k4],Tqresult[nres][k4]);
+ }
+ fprintf(ficresfb," yearbproj age");
+ for(j=1; j<=nlstate+ndeath;j++){
+ for(i=1; i<=nlstate;i++)
+ fprintf(ficresfb," b%d%d",i,j);
+ fprintf(ficresfb," b.%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);
+ 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;
+ /* 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) {
+ break;
+ }
+ }
+ 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(i=1; i<=nlstate+ndeath;i++) {
+ ppij=0.;ppi=0.;
+ for(j=1; j<=nlstate;j++) {
+ /* if (mobilav==1) */
+ ppij=ppij+p3mat[i][j][h]*prevacurrent[(int)agec][j][k];
+ ppi=ppi+prevacurrent[(int)agec][j][k];
+ /* ppij=ppij+p3mat[i][j][h]*mobaverage[(int)agec][j][k]; */
+ /* ppi=ppi+mobaverage[(int)agec][j][k]; */
+ /* else { */
+ /* ppij=ppij+p3mat[i][j][h]*probs[(int)(agec)][i][k]; */
+ /* } */
+ fprintf(ficresfb," %.3f", p3mat[i][j][h]);
+ } /* end j */
+ if(ppi <0.99){
+ 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 */
+
+ /* 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 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 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++){*/
+
+ 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 period prevalence\n");fflush(stdout);
+ fprintf(ficlog,"done variance-covariance of 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){ */
@@ -9696,6 +10365,8 @@ int back_prevalence_limit(double *p, dou
}else{
/* bprevalim(bprlim, probs, nlstate, p, age, oldm, savm, dnewm, doldm, dsavm, ftolpl, ncvyearp, k); */
bprevalim(bprlim, probs, nlstate, p, age, ftolpl, ncvyearp, k,nres);
+ /* printf("TOTOT\n"); */
+ /* exit(1); */
}
fprintf(ficresplb,"%.0f ",age );
for(j=1;j<=cptcoveff;j++)
@@ -9854,10 +10525,12 @@ int hPijx(double *p, int bage, int fage)
/* nhstepm=nhstepm*YEARM; aff par mois*/
- p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm);
+ p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); /* We can't have it at an upper level because of nhstepm */
+ /* and memory limitations if stepm is small */
+
/* oldm=oldms;savm=savms; */
/* hbxij(p3mat,nhstepm,agedeb,hstepm,p,nlstate,stepm,oldm,savm, k); */
- hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k);
+ hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm, k, nres);
/* hbxij(p3mat,nhstepm,agedeb,hstepm,p,prevacurrent,nlstate,stepm,oldm,savm, dnewm, doldm, dsavm, k); */
fprintf(ficrespijb,"# Cov Agex agex-h hbijx with i,j=");
for(i=1; i<=nlstate;i++)
@@ -9958,6 +10631,7 @@ int main(int argc, char *argv[])
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;
@@ -10241,9 +10915,9 @@ int main(int argc, char *argv[])
covar=matrix(0,NCOVMAX,1,n); /**< used in readdata */
- coqvar=matrix(1,nqv,1,n); /**< Fixed quantitative covariate */
- cotvar=ma3x(1,maxwav,1,ntv+nqtv,1,n); /**< Time varying covariate (dummy and quantitative)*/
- cotqvar=ma3x(1,maxwav,1,nqtv,1,n); /**< Time varying quantitative covariate */
+ if(nqv>=1)coqvar=matrix(1,nqv,1,n); /**< Fixed quantitative covariate */
+ if(nqtv>=1)cotqvar=ma3x(1,maxwav,1,nqtv,1,n); /**< Time varying quantitative covariate */
+ if(ntv+nqtv>=1)cotvar=ma3x(1,maxwav,1,ntv+nqtv,1,n); /**< 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
@@ -10794,10 +11468,10 @@ Youngest age at first (selected) pass %.
Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf
\n",\
imx,agemin,agemax,jmin,jmax,jmean);
pmmij= 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 */
- savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */
- oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */
+ oldms= 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 */
+ 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] */
@@ -11417,7 +12091,8 @@ 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); */
+ printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,bage, fage, prevfcast, backcast, pathc,p, (int)anproj1-bage, (int)anback1-fage);
}
printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt, \
model,imx,jmin,jmax,jmean,rfileres,popforecast,mobilav,prevfcast,mobilavproj,backcast, estepm, \
@@ -11457,17 +12132,18 @@ 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] */
- probs= ma3x(1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax);
- for(i=1;i<=AGESUP;i++)
+ /* Prevalence for each covariate combination in probs[age][status][cov] */
+ probs= ma3x(AGEINF,AGESUP,1,nlstate+ndeath, 1,ncovcombmax);
+ 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);
- for(i=1;i<=AGESUP;i++)
- for(j=1;j<=nlstate;j++)
+ mobaverages= ma3x(AGEINF, AGESUP,1,nlstate+ndeath, 1,ncovcombmax);
+ for(i=AGEINF;i<=AGESUP;i++)
+ for(j=1;j<=nlstate+ndeath;j++)
for(k=1;k<=ncovcombmax;k++)
mobaverages[i][j][k]=0.;
mobaverage=mobaverages;
@@ -11478,25 +12154,27 @@ Please run with mle=-1 to get a correct
fprintf(ficlog," Error in movingaverage mobilav=%d\n",mobilav);
printf(" Error in movingaverage mobilav=%d\n",mobilav);
}
- }
- /* /\* Prevalence for each covariates in probs[age][status][cov] *\/ */
- /* prevalence(probs, ageminpar, agemaxpar, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); */
- else if (mobilavproj !=0) {
+ } else if (mobilavproj !=0) {
printf("Movingaveraging projected observed prevalence\n");
fprintf(ficlog,"Movingaveraging projected observed prevalence\n");
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(stepm ==1){*/
- prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);
+ prevforecast(fileresu, anproj1, mproj1, jproj1, agemin, agemax, dateprev1, dateprev2, mobilavproj, mobaverage, bage, fage, firstpass, lastpass, anproj2, p, cptcoveff);
}
+
+ /* Backcasting */
if(backcast==1){
ddnewms=matrix(1,nlstate+ndeath,1,nlstate+ndeath);
ddoldms=matrix(1,nlstate+ndeath,1,nlstate+ndeath);
@@ -11505,20 +12183,24 @@ 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,
- 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);
+ 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 Backcasting */
+
/* ------ Other prevalence ratios------------ */
@@ -11570,10 +12252,10 @@ Please run with mle=-1 to get a correct
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) {
@@ -11582,8 +12264,6 @@ 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) {
@@ -11611,9 +12291,6 @@ 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++){
- for(cptcod=1;cptcod<=ncodemax[cptcov];cptcod++){*/
-
i1=pow(2,cptcoveff); /* Number of combination of dummy covariates */
if (cptcovn < 1){i1=1;}
@@ -11675,7 +12352,7 @@ 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 */
@@ -11691,7 +12368,6 @@ Please run with mle=-1 to get a correct
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 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++){
@@ -11729,66 +12405,20 @@ 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);
fprintf(ficlog,"done selection\n");fflush(ficlog);
- /*}*/
} /* End k selection */
printf("done State-specific expectancies\n");fflush(stdout);
fprintf(ficlog,"done State-specific expectancies\n");fflush(ficlog);
- /*------- Variance of period (stable) prevalence------*/
-
- 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++){*/
-
- i1=pow(2,cptcoveff);
- if (cptcovn < 1){i1=1;}
+ /* variance-covariance of period prevalence*/
+ varprlim(fileresu, nresult, mobaverage, mobilavproj, bage, fage, prlim, &ncvyear, ftolpl, p, matcov, delti, stepm, cptcoveff);
- 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(fileres, varpl, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl, &ncvyear, k, strstart, nres);
- 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_imatrix(Tvard,1,NCOVMAX,1,2);
@@ -11806,8 +12436,8 @@ 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(probs,1,AGESUP,1,nlstate+ndeath, 1,ncovcombmax);
+ 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,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 */
@@ -11815,15 +12445,16 @@ 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);
- free_ma3x(cotvar,1,maxwav,1,ntv+nqtv,1,n);
- free_matrix(coqvar,1,maxwav,1,n);
+ if(ntv+nqtv>=1)free_ma3x(cotvar,1,maxwav,1,ntv+nqtv,1,n);
+ if(nqtv>=1)free_ma3x(cotqvar,1,maxwav,1,nqtv,1,n);
+ if(nqv>=1)free_matrix(coqvar,1,nqv,1,n);
free_matrix(covar,0,NCOVMAX,1,n);
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);
![\ %s_%d%1d%1d-%1d%1d.svg](\"%s_%d%1d%1d-%1d%1d.svg\"){kind=link}