--- imach/src/imach.c 2002/03/12 22:13:38 1.33 +++ imach/src/imach.c 2002/05/24 13:01:48 1.44 @@ -1,4 +1,4 @@ -/* $Id: imach.c,v 1.33 2002/03/12 22:13:38 brouard Exp $ +/* $Id: imach.c,v 1.44 2002/05/24 13:01:48 brouard Exp $ Interpolated Markov Chain Short summary of the programme: @@ -14,7 +14,7 @@ model. More health states you consider, more time is necessary to reach the Maximum Likelihood of the parameters involved in the model. The simplest model is the multinomial logistic model where pij is the - probabibility to be observed in state j at the second wave + probability to be observed in state j at the second wave conditional to be observed in state i at the first wave. Therefore the model is: log(pij/pii)= aij + bij*age+ cij*sex + etc , where 'age' is age and 'sex' is a covariate. If you want to have a more @@ -56,7 +56,8 @@ #include #define MAXLINE 256 -#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot" +#define GNUPLOTPROGRAM "gnuplot" +/*#define GNUPLOTPROGRAM "..\\gp37mgw\\wgnuplot"*/ #define FILENAMELENGTH 80 /*#define DEBUG*/ #define windows @@ -82,7 +83,7 @@ int cptcovn, cptcovage=0, cptcoveff=0,cp int npar=NPARMAX; int nlstate=2; /* Number of live states */ int ndeath=1; /* Number of dead states */ -int ncovmodel, ncov; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */ +int ncovmodel, ncovcol; /* Total number of covariables including constant a12*1 +b12*x ncovmodel=2 */ int popbased=0; int *wav; /* Number of waves for this individuual 0 is possible */ @@ -135,6 +136,9 @@ int imx; int stepm; /* Stepm, step in month: minimum step interpolation*/ +int estepm; +/* Estepm, step in month to interpolate survival function in order to approximate Life Expectancy*/ + int m,nb; int *num, firstpass=0, lastpass=4,*cod, *ncodemax, *Tage; double **agev,*moisnais, *annais, *moisdc, *andc,**mint, **anint; @@ -686,16 +690,15 @@ double **prevalim(double **prlim, int nl for (k=1; k<=cptcovn;k++) { cov[2+k]=nbcode[Tvar[k]][codtab[ij][Tvar[k]]]; - /*printf("ij=%d Tvar[k]=%d nbcode=%d cov=%lf\n",ij, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k]);*/ + /* printf("ij=%d k=%d Tvar[k]=%d nbcode=%d cov=%lf codtab[ij][Tvar[k]]=%d \n",ij,k, Tvar[k],nbcode[Tvar[k]][codtab[ij][Tvar[k]]],cov[2+k], codtab[ij][Tvar[k]]);*/ } - for (k=1; k<=cptcovage;k++) - cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; + for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; for (k=1; k<=cptcovprod;k++) cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]]; /*printf("ij=%d cptcovprod=%d tvar=%d ", ij, cptcovprod, Tvar[1]);*/ /*printf("ij=%d cov[3]=%lf cov[4]=%lf \n",ij, cov[3],cov[4]);*/ - + /*printf("ij=%d cov[3]=%lf \n",ij, cov[3]);*/ out=matprod2(newm, pmij(pmmij,cov,ncovmodel,x,nlstate),1,nlstate+ndeath,1,nlstate+ndeath,1,nlstate+ndeath, oldm); savm=oldm; @@ -1178,14 +1181,14 @@ void lubksb(double **a, int n, int *indx /************ Frequencies ********************/ void freqsummary(char fileres[], int agemin, int agemax, int **s, double **agev, int nlstate, int imx, int *Tvar, int **nbcode, int *ncodemax,double **mint,double **anint, double dateprev1,double dateprev2,double jprev1, double mprev1,double anprev1,double jprev2, double mprev2,double anprev2) { /* Some frequencies */ - + int i, m, jk, k1,i1, j1, bool, z1,z2,j; double ***freq; /* Frequencies */ double *pp; double pos, k2, dateintsum=0,k2cpt=0; FILE *ficresp; char fileresp[FILENAMELENGTH]; - + pp=vector(1,nlstate); probs= ma3x(1,AGESUP,1,NCOVMAX, 1,NCOVMAX); strcpy(fileresp,"p"); @@ -1196,113 +1199,116 @@ void freqsummary(char fileres[], int ag } freq= ma3x(-1,nlstate+ndeath,-1,nlstate+ndeath,agemin,agemax+3); j1=0; - + j=cptcoveff; if (cptcovn<1) {j=1;ncodemax[1]=1;} - + for(k1=1; k1<=j;k1++){ - for(i1=1; i1<=ncodemax[k1];i1++){ - j1++; - /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); - scanf("%d", i);*/ - for (i=-1; i<=nlstate+ndeath; i++) - for (jk=-1; jk<=nlstate+ndeath; jk++) - for(m=agemin; m <= agemax+3; m++) - freq[i][jk][m]=0; - - dateintsum=0; - k2cpt=0; - for (i=1; i<=imx; i++) { - bool=1; - if (cptcovn>0) { - for (z1=1; z1<=cptcoveff; z1++) - if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]) - bool=0; - } - if (bool==1) { - for(m=firstpass; m<=lastpass; m++){ - k2=anint[m][i]+(mint[m][i]/12.); - if ((k2>=dateprev1) && (k2<=dateprev2)) { - if(agev[m][i]==0) agev[m][i]=agemax+1; - if(agev[m][i]==1) agev[m][i]=agemax+2; - freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i]; - freq[s[m][i]][s[m+1][i]][(int) agemax+3] += weight[i]; - if ((agev[m][i]>1) && (agev[m][i]< (agemax+3))) { - dateintsum=dateintsum+k2; - k2cpt++; - } - - } - } - } - } + for(i1=1; i1<=ncodemax[k1];i1++){ + j1++; + /*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); + scanf("%d", i);*/ + for (i=-1; i<=nlstate+ndeath; i++) + for (jk=-1; jk<=nlstate+ndeath; jk++) + for(m=agemin; m <= agemax+3; m++) + freq[i][jk][m]=0; + + dateintsum=0; + k2cpt=0; + for (i=1; i<=imx; i++) { + bool=1; + if (cptcovn>0) { + for (z1=1; z1<=cptcoveff; z1++) + if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtab[j1][z1]]) + bool=0; + } + if (bool==1) { + for(m=firstpass; m<=lastpass; m++){ + k2=anint[m][i]+(mint[m][i]/12.); + if ((k2>=dateprev1) && (k2<=dateprev2)) { + if(agev[m][i]==0) agev[m][i]=agemax+1; + if(agev[m][i]==1) agev[m][i]=agemax+2; + if (m1) && (agev[m][i]< (agemax+3))) { + dateintsum=dateintsum+k2; + k2cpt++; + } + } + } + } + } - fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); + fprintf(ficresp, "#Count between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf\n",jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); - if (cptcovn>0) { - fprintf(ficresp, "\n#********** Variable "); - for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]); - fprintf(ficresp, "**********\n#"); - } - for(i=1; i<=nlstate;i++) - fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i); - fprintf(ficresp, "\n"); - - for(i=(int)agemin; i <= (int)agemax+3; i++){ - if(i==(int)agemax+3) - printf("Total"); - else - printf("Age %d", i); - for(jk=1; jk <=nlstate ; jk++){ - for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) - pp[jk] += freq[jk][m][i]; - } - for(jk=1; jk <=nlstate ; jk++){ - for(m=-1, pos=0; m <=0 ; m++) - pos += freq[jk][m][i]; - if(pp[jk]>=1.e-10) - printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); - else - printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); - } + if (cptcovn>0) { + fprintf(ficresp, "\n#********** Variable "); + for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]); + fprintf(ficresp, "**********\n#"); + } + for(i=1; i<=nlstate;i++) + fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i); + fprintf(ficresp, "\n"); + + for(i=(int)agemin; i <= (int)agemax+3; i++){ + if(i==(int)agemax+3) + printf("Total"); + else + printf("Age %d", i); + for(jk=1; jk <=nlstate ; jk++){ + for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) + pp[jk] += freq[jk][m][i]; + } + for(jk=1; jk <=nlstate ; jk++){ + for(m=-1, pos=0; m <=0 ; m++) + pos += freq[jk][m][i]; + if(pp[jk]>=1.e-10) + printf(" %d.=%.0f loss[%d]=%.1f%%",jk,pp[jk],jk,100*pos/pp[jk]); + else + printf(" %d.=%.0f loss[%d]=NaNQ%%",jk,pp[jk],jk); + } - for(jk=1; jk <=nlstate ; jk++){ - for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++) - pp[jk] += freq[jk][m][i]; - } + for(jk=1; jk <=nlstate ; jk++){ + for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++) + pp[jk] += freq[jk][m][i]; + } - for(jk=1,pos=0; jk <=nlstate ; jk++) - pos += pp[jk]; - for(jk=1; jk <=nlstate ; jk++){ - if(pos>=1.e-5) - printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); - else - printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); - if( i <= (int) agemax){ - if(pos>=1.e-5){ - fprintf(ficresp," %d %.5f %.0f %.0f",i,pp[jk]/pos, pp[jk],pos); - probs[i][jk][j1]= pp[jk]/pos; - /*printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);*/ + for(jk=1,pos=0; jk <=nlstate ; jk++) + pos += pp[jk]; + for(jk=1; jk <=nlstate ; jk++){ + if(pos>=1.e-5) + printf(" %d.=%.0f prev[%d]=%.1f%%",jk,pp[jk],jk,100*pp[jk]/pos); + else + printf(" %d.=%.0f prev[%d]=NaNQ%%",jk,pp[jk],jk); + if( i <= (int) agemax){ + if(pos>=1.e-5){ + fprintf(ficresp," %d %.5f %.0f %.0f",i,pp[jk]/pos, pp[jk],pos); + probs[i][jk][j1]= pp[jk]/pos; + /*printf("\ni=%d jk=%d j1=%d %.5f %.0f %.0f %f",i,jk,j1,pp[jk]/pos, pp[jk],pos,probs[i][jk][j1]);*/ + } + else + fprintf(ficresp," %d NaNq %.0f %.0f",i,pp[jk],pos); + } } - else - fprintf(ficresp," %d NaNq %.0f %.0f",i,pp[jk],pos); + + for(jk=-1; jk <=nlstate+ndeath; jk++) + for(m=-1; m <=nlstate+ndeath; m++) + if(freq[jk][m][i] !=0 ) printf(" %d%d=%.0f",jk,m,freq[jk][m][i]); + if(i <= (int) agemax) + fprintf(ficresp,"\n"); + printf("\n"); } } - for(jk=-1; jk <=nlstate+ndeath; jk++) - for(m=-1; m <=nlstate+ndeath; m++) - if(freq[jk][m][i] !=0 ) printf(" %d%d=%.0f",jk,m,freq[jk][m][i]); - if(i <= (int) agemax) - fprintf(ficresp,"\n"); - printf("\n"); - } - } - } + } dateintmean=dateintsum/k2cpt; fclose(ficresp); free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3); free_vector(pp,1,nlstate); - + /* End of Freq */ } @@ -1324,10 +1330,10 @@ void prevalence(int agemin, float agemax j=cptcoveff; if (cptcovn<1) {j=1;ncodemax[1]=1;} - for(k1=1; k1<=j;k1++){ + for(k1=1; k1<=j;k1++){ for(i1=1; i1<=ncodemax[k1];i1++){ j1++; - + for (i=-1; i<=nlstate+ndeath; i++) for (jk=-1; jk<=nlstate+ndeath; jk++) for(m=agemin; m <= agemax+3; m++) @@ -1346,41 +1352,46 @@ void prevalence(int agemin, float agemax if ((k2>=dateprev1) && (k2<=dateprev2)) { if(agev[m][i]==0) agev[m][i]=agemax+1; if(agev[m][i]==1) agev[m][i]=agemax+2; - freq[s[m][i]][s[m+1][i]][(int)(agev[m][i]+1-((int)calagedate %12)/12.)] += weight[i]; - /* freq[s[m][i]][s[m+1][i]][(int)(agemax+3+1)] += weight[i]; */ + if (m0) + freq[s[m][i]][s[m+1][i]][(int)(agev[m][i]+1-((int)calagedate %12)/12.)] += weight[i]; + else + freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i]; + freq[s[m][i]][s[m+1][i]][(int)(agemax+3)] += weight[i]; + } } } } } - for(i=(int)agemin; i <= (int)agemax+3; i++){ - for(jk=1; jk <=nlstate ; jk++){ - for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) - pp[jk] += freq[jk][m][i]; - } - for(jk=1; jk <=nlstate ; jk++){ - for(m=-1, pos=0; m <=0 ; m++) + for(i=(int)agemin; i <= (int)agemax+3; i++){ + for(jk=1; jk <=nlstate ; jk++){ + for(m=-1, pp[jk]=0; m <=nlstate+ndeath ; m++) + pp[jk] += freq[jk][m][i]; + } + for(jk=1; jk <=nlstate ; jk++){ + for(m=-1, pos=0; m <=0 ; m++) pos += freq[jk][m][i]; } - for(jk=1; jk <=nlstate ; jk++){ - for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++) - pp[jk] += freq[jk][m][i]; - } - - for(jk=1,pos=0; jk <=nlstate ; jk++) pos += pp[jk]; - - for(jk=1; jk <=nlstate ; jk++){ - if( i <= (int) agemax){ - if(pos>=1.e-5){ - probs[i][jk][j1]= pp[jk]/pos; - } - } - } - + for(jk=1; jk <=nlstate ; jk++){ + for(m=0, pp[jk]=0; m <=nlstate+ndeath; m++) + pp[jk] += freq[jk][m][i]; } + + for(jk=1,pos=0; jk <=nlstate ; jk++) pos += pp[jk]; + + for(jk=1; jk <=nlstate ; jk++){ + if( i <= (int) agemax){ + if(pos>=1.e-5){ + probs[i][jk][j1]= pp[jk]/pos; + } + } + } + + } } } - + free_ma3x(freq,-1,nlstate+ndeath,-1,nlstate+ndeath,(int) agemin,(int) agemax+3); free_vector(pp,1,nlstate); @@ -1497,6 +1508,7 @@ void tricode(int *Tvar, int **nbcode, in for (k=0; k<=19; k++) { if (Ndum[k] != 0) { nbcode[Tvar[j]][ij]=k; + ij++; } if (ij > ncodemax[j]) break; @@ -1513,7 +1525,7 @@ void tricode(int *Tvar, int **nbcode, in ij=1; for (i=1; i<=10; i++) { - if((Ndum[i]!=0) && (i<=ncov)){ + if((Ndum[i]!=0) && (i<=ncovcol)){ Tvaraff[ij]=i; ij++; } @@ -1524,35 +1536,59 @@ void tricode(int *Tvar, int **nbcode, in /*********** Health Expectancies ****************/ -void evsij(char fileres[], double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int ij) +void evsij(char fileres[], double ***eij, double x[], int nlstate, int stepm, int bage, int fage, double **oldm, double **savm, int ij, int estepm,double delti[],double **matcov ) + { /* Health expectancies */ - int i, j, nhstepm, hstepm, h, nstepm, k; - double age, agelim,hf; - double ***p3mat; + int i, j, nhstepm, hstepm, h, nstepm, k, cptj; + double age, agelim, hf; + double ***p3mat,***varhe; + double **dnewm,**doldm; + double *xp; + double **gp, **gm; + double ***gradg, ***trgradg; + int theta; + + varhe=ma3x(1,nlstate*2,1,nlstate*2,(int) bage, (int) fage); + xp=vector(1,npar); + dnewm=matrix(1,nlstate*2,1,npar); + doldm=matrix(1,nlstate*2,1,nlstate*2); fprintf(ficreseij,"# Health expectancies\n"); fprintf(ficreseij,"# Age"); for(i=1; i<=nlstate;i++) for(j=1; j<=nlstate;j++) - fprintf(ficreseij," %1d-%1d",i,j); + fprintf(ficreseij," %1d-%1d (SE)",i,j); fprintf(ficreseij,"\n"); - k=1; /* For example stepm=6 months */ - hstepm=k*YEARM; /* (a) Every k years of age (in months), for example every k=2 years 24 m */ - hstepm=stepm; /* or (b) We decided to compute the life expectancy with the smallest unit */ + if(estepm < stepm){ + printf ("Problem %d lower than %d\n",estepm, stepm); + } + else hstepm=estepm; + /* We compute the life expectancy from trapezoids spaced every estepm months + * This is mainly to measure the difference between two models: for example + * if stepm=24 months pijx are given only every 2 years and by summing them + * we are calculating an estimate of the Life Expectancy assuming a linear + * progression inbetween and thus overestimating or underestimating according + * to the curvature of the survival function. If, for the same date, we + * estimate the model with stepm=1 month, we can keep estepm to 24 months + * to compare the new estimate of Life expectancy with the same linear + * hypothesis. A more precise result, taking into account a more precise + * curvature will be obtained if estepm is as small as stepm. */ + + /* For example we decided to compute the life expectancy with the smallest unit */ /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm. 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 - and note for a fixed period like k years */ + and note for a fixed period like estepm months */ /* We decided (b) to get a life expectancy respecting the most precise curvature of the survival function given by stepm (the optimization length). Unfortunately it means that if the survival funtion is printed only each two years of age and if you sum them up and add 1 year (area under the trapezoids) you won't get the same results. So we changed our mind and took the option of the best precision. */ - hstepm=hstepm/stepm; /* Typically in stepm units, if k= 2 years, = 2/6 months = 4 */ + hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */ agelim=AGESUP; for (age=bage; age<=fage; age ++){ /* If stepm=6 months */ @@ -1562,43 +1598,133 @@ void evsij(char fileres[], double ***eij /* if (stepm >= YEARM) hstepm=1;*/ nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */ p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); + gradg=ma3x(0,nhstepm,1,npar,1,nlstate*2); + gp=matrix(0,nhstepm,1,nlstate*2); + gm=matrix(0,nhstepm,1,nlstate*2); + /* Computed by stepm unit matrices, product of hstepm matrices, stored in an array of nhstepm length: nhstepm=10, hstepm=4, stepm=6 months */ hpxij(p3mat,nhstepm,age,hstepm,x,nlstate,stepm,oldm, savm, ij); + + hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ + + /* Computing Variances of health expectancies */ + + for(theta=1; theta <=npar; theta++){ + for(i=1; i<=npar; i++){ + xp[i] = x[i] + (i==theta ?delti[theta]:0); + } + hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij); + + cptj=0; + for(j=1; j<= nlstate; j++){ + for(i=1; i<=nlstate; i++){ + cptj=cptj+1; + for(h=0, gp[h][cptj]=0.; h<=nhstepm-1; h++){ + gp[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.; + } + } + } + + + for(i=1; i<=npar; i++) + xp[i] = x[i] - (i==theta ?delti[theta]:0); + hpxij(p3mat,nhstepm,age,hstepm,xp,nlstate,stepm,oldm,savm, ij); + + cptj=0; + for(j=1; j<= nlstate; j++){ + for(i=1;i<=nlstate;i++){ + cptj=cptj+1; + for(h=0, gm[h][cptj]=0.; h<=nhstepm-1; h++){ + gm[h][cptj] = (p3mat[i][j][h]+p3mat[i][j][h+1])/2.; + } + } + } + + + + for(j=1; j<= nlstate*2; j++) + for(h=0; h<=nhstepm-1; h++){ + gradg[h][theta][j]= (gp[h][j]-gm[h][j])/2./delti[theta]; + } + + } + +/* End theta */ + + trgradg =ma3x(0,nhstepm,1,nlstate*2,1,npar); + + for(h=0; h<=nhstepm-1; h++) + for(j=1; j<=nlstate*2;j++) + for(theta=1; theta <=npar; theta++) + trgradg[h][j][theta]=gradg[h][theta][j]; + + + for(i=1;i<=nlstate*2;i++) + for(j=1;j<=nlstate*2;j++) + varhe[i][j][(int)age] =0.; + + printf("%d|",(int)age);fflush(stdout); + for(h=0;h<=nhstepm-1;h++){ + for(k=0;k<=nhstepm-1;k++){ + matprod2(dnewm,trgradg[h],1,nlstate*2,1,npar,1,npar,matcov); + matprod2(doldm,dnewm,1,nlstate*2,1,npar,1,nlstate*2,gradg[k]); + for(i=1;i<=nlstate*2;i++) + for(j=1;j<=nlstate*2;j++) + varhe[i][j][(int)age] += doldm[i][j]*hf*hf; + } + } + + + /* Computing expectancies */ for(i=1; i<=nlstate;i++) for(j=1; j<=nlstate;j++) for (h=0, eij[i][j][(int)age]=0; h<=nhstepm-1; h++){ eij[i][j][(int)age] += (p3mat[i][j][h]+p3mat[i][j][h+1])/2.0*hf; - /* 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]);*/ + +/* 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]);*/ + } + fprintf(ficreseij,"%3.0f",age ); + cptj=0; for(i=1; i<=nlstate;i++) for(j=1; j<=nlstate;j++){ - fprintf(ficreseij," %9.4f", eij[i][j][(int)age]); + cptj++; + fprintf(ficreseij," %9.4f (%.4f)", eij[i][j][(int)age], sqrt(varhe[cptj][cptj][(int)age]) ); } fprintf(ficreseij,"\n"); + + free_matrix(gm,0,nhstepm,1,nlstate*2); + free_matrix(gp,0,nhstepm,1,nlstate*2); + free_ma3x(gradg,0,nhstepm,1,npar,1,nlstate*2); + free_ma3x(trgradg,0,nhstepm,1,nlstate*2,1,npar); free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); } + free_vector(xp,1,npar); + free_matrix(dnewm,1,nlstate*2,1,npar); + free_matrix(doldm,1,nlstate*2,1,nlstate*2); + free_ma3x(varhe,1,nlstate*2,1,nlstate*2,(int) bage, (int)fage); } /************ Variance ******************/ -void varevsij(char fileres[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij) +void varevsij(char fileres[], double ***vareij, double **matcov, double x[], double delti[], int nlstate, int stepm, double bage, double fage, double **oldm, double **savm, double **prlim, double ftolpl, int ij, int estepm) { /* Variance of health expectancies */ /* double **prevalim(double **prlim, int nlstate, double *xp, double age, double **oldm, double ** savm,double ftolpl);*/ double **newm; double **dnewm,**doldm; - int i, j, nhstepm, hstepm, h; + int i, j, nhstepm, hstepm, h, nstepm ; int k, cptcode; double *xp; double **gp, **gm; double ***gradg, ***trgradg; double ***p3mat; - double age,agelim; + double age,agelim, hf; int theta; - fprintf(ficresvij,"# Covariances of life expectancies\n"); + fprintf(ficresvij,"# Variance and covariance of health expectancies e.j \n# (weighted average of eij where weights are the stable prevalence in health states i\n"); fprintf(ficresvij,"# Age"); for(i=1; i<=nlstate;i++) for(j=1; j<=nlstate;j++) @@ -1609,13 +1735,27 @@ void varevsij(char fileres[], double *** dnewm=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 */ + if(estepm < stepm){ + printf ("Problem %d lower than %d\n",estepm, stepm); + } + else hstepm=estepm; + /* For example we decided to compute the life expectancy with the smallest unit */ + /* hstepm beeing the number of stepms, if hstepm=1 the length of hstepm is stepm. + 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 + and note for a fixed period like k years */ + /* 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 + means that if the survival funtion is printed only each two years of age and if + you sum them up and add 1 year (area under the trapezoids) you won't get the same + results. So we changed our mind and took the option of the best precision. + */ + hstepm=hstepm/stepm; /* Typically in stepm units, if stepm=6 & estepm=24 , = 24/6 months = 4 */ agelim = AGESUP; for (age=bage; age<=fage; age ++){ /* If stepm=6 months */ - nhstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ - if (stepm >= YEARM) hstepm=1; - nhstepm = nhstepm/hstepm; /* Typically 40/4=10 */ + nstepm=(int) rint((agelim-age)*YEARM/stepm); /* Typically 20 years = 20*12/6=40 */ + nhstepm = nstepm/hstepm;/* Expressed in hstepm, typically nhstepm=40/4=10 */ p3mat=ma3x(1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); gradg=ma3x(0,nhstepm,1,npar,1,nlstate); gp=matrix(0,nhstepm,1,nlstate); @@ -1670,24 +1810,25 @@ void varevsij(char fileres[], double *** for(theta=1; theta <=npar; theta++) trgradg[h][j][theta]=gradg[h][theta][j]; + hf=hstepm*stepm/YEARM; /* Duration of hstepm expressed in year unit. */ for(i=1;i<=nlstate;i++) for(j=1;j<=nlstate;j++) vareij[i][j][(int)age] =0.; + for(h=0;h<=nhstepm;h++){ for(k=0;k<=nhstepm;k++){ matprod2(dnewm,trgradg[h],1,nlstate,1,npar,1,npar,matcov); matprod2(doldm,dnewm,1,nlstate,1,npar,1,nlstate,gradg[k]); for(i=1;i<=nlstate;i++) for(j=1;j<=nlstate;j++) - vareij[i][j][(int)age] += doldm[i][j]; + vareij[i][j][(int)age] += doldm[i][j]*hf*hf; } } - h=1; - if (stepm >= YEARM) h=stepm/YEARM; + fprintf(ficresvij,"%.0f ",age ); for(i=1; i<=nlstate;i++) for(j=1; j<=nlstate;j++){ - fprintf(ficresvij," %.4f", h*vareij[i][j][(int)age]); + fprintf(ficresvij," %.4f", vareij[i][j][(int)age]); } fprintf(ficresvij,"\n"); free_matrix(gp,0,nhstepm,1,nlstate); @@ -1718,7 +1859,7 @@ void varprevlim(char fileres[], double * double age,agelim; int theta; - fprintf(ficresvpl,"# Standard deviation of prevalences limit\n"); + fprintf(ficresvpl,"# Standard deviation of prevalence's limit\n"); fprintf(ficresvpl,"# Age"); for(i=1; i<=nlstate;i++) fprintf(ficresvpl," %1d-%1d",i,i); @@ -1787,9 +1928,9 @@ void varprevlim(char fileres[], double * } /************ Variance of one-step probabilities ******************/ -void varprob(char fileres[], double **matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij) +void varprob(char fileres[], double **matcov, double x[], double delti[], int nlstate, double bage, double fage, int ij, int *Tvar, int **nbcode, int *ncodemax) { - int i, j; + int i, j, i1, k1, j1, z1; int k=0, cptcode; double **dnewm,**doldm; double *xp; @@ -1804,95 +1945,128 @@ void varprob(char fileres[], double **ma if((ficresprob=fopen(fileresprob,"w"))==NULL) { printf("Problem with resultfile: %s\n", fileresprob); } - printf("Computing variance of one-step probabilities: result on file '%s' \n",fileresprob); + printf("Computing standard deviation of one-step probabilities: result on file '%s' \n",fileresprob); +fprintf(ficresprob,"#One-step probabilities and standard deviation in parentheses\n"); + fprintf(ficresprob,"# Age"); + for(i=1; i<=nlstate;i++) + for(j=1; j<=(nlstate+ndeath);j++) + fprintf(ficresprob," p%1d-%1d (SE)",i,j); + + + fprintf(ficresprob,"\n"); + xp=vector(1,npar); dnewm=matrix(1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); doldm=matrix(1,(nlstate+ndeath)*(nlstate+ndeath),1,(nlstate+ndeath)*(nlstate+ndeath)); cov[1]=1; - for (age=bage; age<=fage; age ++){ - cov[2]=age; - gradg=matrix(1,npar,1,9); - trgradg=matrix(1,9,1,npar); - gp=vector(1,(nlstate+ndeath)*(nlstate+ndeath)); - gm=vector(1,(nlstate+ndeath)*(nlstate+ndeath)); + j=cptcoveff; + if (cptcovn<1) {j=1;ncodemax[1]=1;} + j1=0; + for(k1=1; k1<=1;k1++){ + for(i1=1; i1<=ncodemax[k1];i1++){ + j1++; + + if (cptcovn>0) { + fprintf(ficresprob, "\n#********** Variable "); + for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresprob, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtab[j1][z1]]); + fprintf(ficresprob, "**********\n#"); + } - for(theta=1; theta <=npar; theta++){ - for(i=1; i<=npar; i++) - xp[i] = x[i] + (i==theta ?delti[theta]:0); - - pmij(pmmij,cov,ncovmodel,xp,nlstate); - - k=0; - for(i=1; i<= (nlstate+ndeath); i++){ - for(j=1; j<=(nlstate+ndeath);j++){ - k=k+1; - gp[k]=pmmij[i][j]; + for (age=bage; age<=fage; age ++){ + cov[2]=age; + for (k=1; k<=cptcovn;k++) { + cov[2+k]=nbcode[Tvar[k]][codtab[j1][Tvar[k]]]; + } - } - - for(i=1; i<=npar; i++) - xp[i] = x[i] - (i==theta ?delti[theta]:0); + for (k=1; k<=cptcovage;k++) cov[2+Tage[k]]=cov[2+Tage[k]]*cov[2]; + for (k=1; k<=cptcovprod;k++) + cov[2+Tprod[k]]=nbcode[Tvard[k][1]][codtab[ij][Tvard[k][1]]]*nbcode[Tvard[k][2]][codtab[ij][Tvard[k][2]]]; + + gradg=matrix(1,npar,1,9); + trgradg=matrix(1,9,1,npar); + gp=vector(1,(nlstate+ndeath)*(nlstate+ndeath)); + gm=vector(1,(nlstate+ndeath)*(nlstate+ndeath)); + + for(theta=1; theta <=npar; theta++){ + for(i=1; i<=npar; i++) + xp[i] = x[i] + (i==theta ?delti[theta]:0); + + pmij(pmmij,cov,ncovmodel,xp,nlstate); + + k=0; + for(i=1; i<= (nlstate+ndeath); i++){ + for(j=1; j<=(nlstate+ndeath);j++){ + k=k+1; + gp[k]=pmmij[i][j]; + } + } + + for(i=1; i<=npar; i++) + xp[i] = x[i] - (i==theta ?delti[theta]:0); - - pmij(pmmij,cov,ncovmodel,xp,nlstate); - k=0; - for(i=1; i<=(nlstate+ndeath); i++){ - for(j=1; j<=(nlstate+ndeath);j++){ - k=k+1; - gm[k]=pmmij[i][j]; - } - } + pmij(pmmij,cov,ncovmodel,xp,nlstate); + k=0; + for(i=1; i<=(nlstate+ndeath); i++){ + for(j=1; j<=(nlstate+ndeath);j++){ + k=k+1; + gm[k]=pmmij[i][j]; + } + } - for(i=1; i<= (nlstate+ndeath)*(nlstate+ndeath); i++) - gradg[theta][i]=(gp[i]-gm[i])/2./delti[theta]; - } - - for(j=1; j<=(nlstate+ndeath)*(nlstate+ndeath);j++) - for(theta=1; theta <=npar; theta++) - trgradg[j][theta]=gradg[theta][j]; - - matprod2(dnewm,trgradg,1,9,1,npar,1,npar,matcov); - matprod2(doldm,dnewm,1,9,1,npar,1,9,gradg); - - pmij(pmmij,cov,ncovmodel,x,nlstate); + for(i=1; i<= (nlstate+ndeath)*(nlstate+ndeath); i++) + gradg[theta][i]=(gp[i]-gm[i])/2./delti[theta]; + } - k=0; - for(i=1; i<=(nlstate+ndeath); i++){ - for(j=1; j<=(nlstate+ndeath);j++){ - k=k+1; - gm[k]=pmmij[i][j]; + for(j=1; j<=(nlstate+ndeath)*(nlstate+ndeath);j++) + for(theta=1; theta <=npar; theta++) + trgradg[j][theta]=gradg[theta][j]; + + matprod2(dnewm,trgradg,1,9,1,npar,1,npar,matcov); + matprod2(doldm,dnewm,1,9,1,npar,1,9,gradg); + + pmij(pmmij,cov,ncovmodel,x,nlstate); + + k=0; + for(i=1; i<=(nlstate+ndeath); i++){ + for(j=1; j<=(nlstate+ndeath);j++){ + k=k+1; + gm[k]=pmmij[i][j]; + } } - } /*printf("\n%d ",(int)age); for (i=1; i<=(nlstate+ndeath)*(nlstate+ndeath-1);i++){ - - printf("%e [%e ;%e] ",gm[i],gm[i]-2*sqrt(doldm[i][i]),gm[i]+2*sqrt(doldm[i][i])); }*/ - fprintf(ficresprob,"\n%d ",(int)age); - - for (i=1; i<=(nlstate+ndeath)*(nlstate+ndeath-1);i++){ - if (i== 2) fprintf(ficresprob,"%.3e %.3e ",gm[i],doldm[i][i]); -if (i== 4) fprintf(ficresprob,"%.3e %.3e ",gm[i],doldm[i][i]); - } + fprintf(ficresprob,"\n%d ",(int)age); + for (i=1; i<=(nlstate+ndeath)*(nlstate+ndeath-1);i++) + fprintf(ficresprob,"%.3e (%.3e) ",gm[i],sqrt(doldm[i][i])); + + } + } free_vector(gp,1,(nlstate+ndeath)*(nlstate+ndeath)); free_vector(gm,1,(nlstate+ndeath)*(nlstate+ndeath)); free_matrix(trgradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); free_matrix(gradg,1,(nlstate+ndeath)*(nlstate+ndeath),1,npar); -} - free_vector(xp,1,npar); -fclose(ficresprob); - + } + free_vector(xp,1,npar); + fclose(ficresprob); + } /******************* Printing html file ***********/ -void printinghtml(char fileres[], char title[], char datafile[], int firstpass, int lastpass, int stepm, int weightopt, char model[],int imx,int jmin, int jmax, double jmeanint,char optionfile[],char optionfilehtm[],char rfileres[] ){ +void printinghtml(char fileres[], char title[], char datafile[], int firstpass, \ + int lastpass, int stepm, int weightopt, char model[],\ + int imx,int jmin, int jmax, double jmeanint,char optionfile[], \ + char optionfilehtm[],char rfileres[], char optionfilegnuplot[],\ + char version[], int popforecast, int estepm ,/* \ */ + double jprev1, double mprev1,double anprev1, \ + double jprev2, double mprev2,double anprev2){ int jj1, k1, i1, cpt; FILE *fichtm; /*char optionfilehtm[FILENAMELENGTH];*/ @@ -1903,26 +2077,37 @@ void printinghtml(char fileres[], char t printf("Problem with %s \n",optionfilehtm), exit(0); } - fprintf(fichtm,"
    Imach, Version 0.71e
    -Title=%s
    Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s
    - -Total number of observations=%d
    -Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf
    -
    -
  • Outputs files

    \n - - Observed prevalence in each state: p%s
    \n -- Estimated parameters and the covariance matrix: %s
    - - Stationary prevalence in each state: pl%s
    - - Transition probabilities: pij%s
    - - Copy of the parameter file: o%s
    - - Life expectancies by age and initial health status: e%s
    - - Variances of life expectancies by age and initial health status: v%s
    - - Health expectancies with their variances: t%s
    - - Standard deviation of stationary prevalences: vpl%s
    - - Prevalences forecasting: f%s
    - - Population forecasting (if popforecast=1): pop%s
    -
    ",title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,rfileres,rfileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres,fileres); - + fprintf(fichtm," %s
    \n +Title=%s
    Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=%s
    \n +\n +Total number of observations=%d
    \n +Interval (in months) between two waves: Min=%d Max=%d Mean=%.2lf
    \n +
    +
    • Parameter files
      \n + - Copy of the parameter file: o%s
      \n + - Gnuplot file name: %s
    \n",version,title,datafile,firstpass,lastpass,stepm, weightopt,model,imx,jmin,jmax,jmean,fileres,fileres,optionfilegnuplot,optionfilegnuplot); + + fprintf(fichtm,"
    • Result files (first order: no variance)
      \n + - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): p%s
      \n + - Estimated transition probabilities over %d (stepm) months: pij%s
      \n + - Stable prevalence in each health state: pl%s
      \n + - Life expectancies by age and initial health status (estepm=%2d months): + e%s
      \n
      • ", \ + jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,fileres,fileres,stepm,fileres,fileres,fileres,fileres,estepm,fileres,fileres); + + fprintf(fichtm,"\n
    • Result files (second order: variances)
      \n + - Parameter file with estimated parameters and covariance matrix: %s
      \n + - Variance of one-step probabilities: prob%s
      \n + - Variances and covariances of life expectancies by age and initial health status (estepm=%d months): v%s
      \n + - Health expectancies with their variances (no covariance): t%s
      \n + - Standard deviation of stable prevalences: vpl%s
      \n",rfileres,rfileres,fileres,fileres, estepm, fileres,fileres,fileres,fileres,fileres,fileres); + + if(popforecast==1) fprintf(fichtm,"\n + - Prevalences forecasting: f%s
      \n + - Population forecasting (if popforecast=1): pop%s
      \n +
      ",fileres,fileres,fileres,fileres); + else + fprintf(fichtm,"\n No population forecast: popforecast = %d (instead of 1) or stepm = %d (instead of 1) or model=%s (instead of .)

      • \n",popforecast, stepm, model); fprintf(fichtm,"
    • Graphs

      • "); m=cptcoveff; @@ -1938,24 +2123,29 @@ fprintf(fichtm,"

    • Graphs

      • "); fprintf(fichtm," V%d=%d ",Tvaraff[cpt],nbcode[Tvaraff[cpt]][codtab[jj1][cpt]]); fprintf(fichtm," ************\n

      "); } - fprintf(fichtm,"
      - Probabilities: pe%s%d.gif
      -",strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1); + /* Pij */ + fprintf(fichtm,"
      - Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before: pe%s%d1.png
      +",strtok(optionfile, "."),jj1,stepm,strtok(optionfile, "."),jj1); + /* Quasi-incidences */ + fprintf(fichtm,"
      - Pij or Conditional probabilities to be observed in state j being in state i %d (stepm) months before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too: pe%s%d2.png
      +",strtok(optionfile, "."),jj1,stepm,strtok(optionfile, "."),jj1); + /* Stable prevalence in each health state */ for(cpt=1; cpt- Prevalence of disability : p%s%d%d.gif
      -",strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1); + fprintf(fichtm,"
      - Stable prevalence in each health state : p%s%d%d.png
      +",strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1); } for(cpt=1; cpt<=nlstate;cpt++) { fprintf(fichtm,"
      - Observed and stationary prevalence (with confident -interval) in state (%d): v%s%d%d.gif
      -",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1); +interval) in state (%d): v%s%d%d.png
      +",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1); } for(cpt=1; cpt<=nlstate;cpt++) { - fprintf(fichtm,"\n
      - Health life expectancies by age and initial health state (%d): exp%s%d%d.gif
      -",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1); + fprintf(fichtm,"\n
      - Health life expectancies by age and initial health state (%d): exp%s%d%d.png
      +",cpt,strtok(optionfile, "."),cpt,jj1,strtok(optionfile, "."),cpt,jj1); } fprintf(fichtm,"\n
      - Total life expectancy by age and -health expectancies in states (1) and (2): e%s%d.gif
      -",strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1); +health expectancies in states (1) and (2): e%s%d.png
      +",strtok(optionfile, "."),jj1,strtok(optionfile, "."),jj1); fprintf(fichtm,"\n"); } } @@ -1963,12 +2153,12 @@ fclose(fichtm); } /******************* Gnuplot file **************/ -void printinggnuplot(char fileres[],char optionfilefiname[],char optionfile[],char optionfilegnuplot[], double agemin, double agemaxpar, double fage , char pathc[], double p[]){ +void printinggnuplot(char fileres[],char optionfilefiname[],char optionfile[],char optionfilegnuplot[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){ int m,cpt,k1,i,k,j,jk,k2,k3,ij,l; - + int ng; strcpy(optionfilegnuplot,optionfilefiname); - strcat(optionfilegnuplot,".plt"); + strcat(optionfilegnuplot,".gp.txt"); if((ficgp=fopen(optionfilegnuplot,"w"))==NULL) { printf("Problem with file %s",optionfilegnuplot); } @@ -1983,10 +2173,12 @@ m=pow(2,cptcoveff); for (k1=1; k1<= m ; k1 ++) { #ifdef windows - fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter gif small size 400,300\nplot [%.f:%.f] \"vpl%s\" every :::%d::%d u 1:2 \"\%%lf",agemin,fage,fileres,k1-1,k1-1); + fprintf(ficgp,"\nset out \"v%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1); + fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"vpl%s\" every :::%d::%d u 1:2 \"\%%lf",ageminpar,fage,fileres,k1-1,k1-1); #endif #ifdef unix -fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nplot [%.f:%.f] \"vpl%s\" u 1:2 \"\%%lf",agemin,fage,fileres); +fprintf(ficgp,"\nset out \"v%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1); +fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \nplot [%.f:%.f] \"vpl%s\" u 1:2 \"\%%lf",ageminpar,fage,fileres); #endif for (i=1; i<= nlstate ; i ++) { @@ -2005,15 +2197,15 @@ for (i=1; i<= nlstate ; i ++) { } fprintf(ficgp,"\" t\"\" w l 1,\"p%s\" every :::%d::%d u 1:($%d) t\"Observed prevalence \" w l 2",fileres,k1-1,k1-1,2+4*(cpt-1)); #ifdef unix -fprintf(ficgp,"\nset ter gif small size 400,300"); +fprintf(ficgp,"\nset ter png small\nset size 0.65,0.65\n"); #endif -fprintf(ficgp,"\nset out \"v%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1); } } /*2 eme*/ for (k1=1; k1<= m ; k1 ++) { - fprintf(ficgp,"set ylabel \"Years\" \nset ter gif small size 400,300\nplot [%.f:%.f] ",agemin,fage); + fprintf(ficgp,"\nset out \"e%s%d.png\" \n",strtok(optionfile, "."),k1); + fprintf(ficgp,"set ylabel \"Years\" \nset ter png small\nset size 0.65,0.65\nplot [%.f:%.f] ",ageminpar,fage); for (i=1; i<= nlstate+1 ; i ++) { k=2*i; @@ -2038,27 +2230,36 @@ fprintf(ficgp,"\nset out \"v%s%d%d.gif\" if (i== (nlstate+1)) fprintf(ficgp,"\" t\"\" w l 0"); else fprintf(ficgp,"\" t\"\" w l 0,"); } - fprintf(ficgp,"\nset out \"e%s%d.gif\" \nreplot\n\n",strtok(optionfile, "."),k1); } /*3eme*/ for (k1=1; k1<= m ; k1 ++) { for (cpt=1; cpt<= nlstate ; cpt ++) { - k=2+nlstate*(cpt-1); - fprintf(ficgp,"set ter gif small size 400,300\nplot [%.f:%.f] \"e%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",agemin,fage,fileres,k1-1,k1-1,k,cpt); + k=2+nlstate*(2*cpt-2); + fprintf(ficgp,"\nset out \"exp%s%d%d.png\" \n",strtok(optionfile, "."),cpt,k1); + fprintf(ficgp,"set ter png small\nset size 0.65,0.65\nplot [%.f:%.f] \"e%s\" every :::%d::%d u 1:%d t \"e%d1\" w l",ageminpar,fage,fileres,k1-1,k1-1,k,cpt); + /*fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d-2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); + for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); +fprintf(ficgp,"\" t \"e%d1\" w l",cpt); +fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:($%d+2*$%d) \"\%%lf ",fileres,k1-1,k1-1,k,k+1); + for (i=1; i<= nlstate*2 ; i ++) fprintf(ficgp,"\%%lf (\%%lf) "); +fprintf(ficgp,"\" t \"e%d1\" w l",cpt); + +*/ for (i=1; i< nlstate ; i ++) { - fprintf(ficgp,",\"e%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",fileres,k1-1,k1-1,k+i,cpt,i+1); + fprintf(ficgp," ,\"e%s\" every :::%d::%d u 1:%d t \"e%d%d\" w l",fileres,k1-1,k1-1,k+2*i,cpt,i+1); + } - fprintf(ficgp,"\nset out \"exp%s%d%d.gif\" \nreplot\n\n",strtok(optionfile, "."),cpt,k1); - } } + } /* CV preval stat */ for (k1=1; k1<= m ; k1 ++) { for (cpt=1; cpt=(agemin-((int)calagedate %12)/12.); agedeb--){ + for (agedeb=(fage-((int)calagedate %12/12.)); agedeb>=(ageminpar-((int)calagedate %12)/12.); agedeb--){ nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); nhstepm = nhstepm/hstepm; @@ -2231,7 +2439,7 @@ calagedate=(anproj1+mproj1/12.+jproj1/36 for (h=0; h<=nhstepm; h++){ if (h==(int) (calagedate+YEARM*cpt)) { - fprintf(ficresf,"\n %.f ",agedeb+h*hstepm/YEARM*stepm); + fprintf(ficresf,"\n %.f %.f ",anproj1+cpt,agedeb+h*hstepm/YEARM*stepm); } for(j=1; j<=nlstate+ndeath;j++) { kk1=0.;kk2=0; @@ -2260,7 +2468,7 @@ calagedate=(anproj1+mproj1/12.+jproj1/36 fclose(ficresf); } /************** Forecasting ******************/ -populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double agemin, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){ +populforecast(char fileres[], double anpyram,double mpyram,double jpyram,double ageminpar, double agemax,double dateprev1, double dateprev2, int mobilav, double agedeb, double fage, int popforecast, char popfile[], double anpyram1,double p[], int i2){ int cpt, stepsize, hstepm, nhstepm, j,k,c, cptcod, i,h; int *popage; @@ -2274,7 +2482,7 @@ populforecast(char fileres[], double anp agelim=AGESUP; calagedate=(anpyram+mpyram/12.+jpyram/365.-dateintmean)*YEARM; - prevalence(agemin, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate); + prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate); strcpy(filerespop,"pop"); @@ -2288,7 +2496,7 @@ populforecast(char fileres[], double anp if (mobilav==1) { mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); - movingaverage(agedeb, fage, agemin, mobaverage); + movingaverage(agedeb, fage, ageminpar, mobaverage); } stepsize=(int) (stepm+YEARM-1)/YEARM; @@ -2329,7 +2537,7 @@ populforecast(char fileres[], double anp for (cpt=0; cpt<=0;cpt++) { fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt); - for (agedeb=(fage-((int)calagedate %12/12.)); agedeb>=(agemin-((int)calagedate %12)/12.); agedeb--){ + for (agedeb=(fage-((int)calagedate %12/12.)); agedeb>=(ageminpar-((int)calagedate %12)/12.); agedeb--){ nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); nhstepm = nhstepm/hstepm; @@ -2375,7 +2583,7 @@ populforecast(char fileres[], double anp for (cpt=1; cpt<=(anpyram1-anpyram);cpt++) { fprintf(ficrespop,"\n\n# Forecasting at date %.lf/%.lf/%.lf ",jpyram,mpyram,anpyram+cpt); - for (agedeb=(fage-((int)calagedate %12/12.)); agedeb>=(agemin-((int)calagedate %12)/12.); agedeb--){ + for (agedeb=(fage-((int)calagedate %12/12.)); agedeb>=(ageminpar-((int)calagedate %12)/12.); agedeb--){ nhstepm=(int) rint((agelim-agedeb)*YEARM/stepm); nhstepm = nhstepm/hstepm; @@ -2421,7 +2629,7 @@ int main(int argc, char *argv[]) int i,j, k, n=MAXN,iter,m,size,cptcode, cptcod; double agedeb, agefin,hf; - double agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20; + double ageminpar=1.e20,agemin=1.e20, agemaxpar=-1.e20, agemax=-1.e20; double fret; double **xi,tmp,delta; @@ -2448,7 +2656,7 @@ int main(int argc, char *argv[]) int jnais,jdc,jint4,jint1,jint2,jint3,**outcome,**adl,*tab; int mobilav=0,popforecast=0; int hstepm, nhstepm; - double jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,jpyram, mpyram,anpyram,jpyram1, mpyram1,anpyram1; + double jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,jpyram, mpyram,anpyram,jpyram1, mpyram1,anpyram1, calagedate; double bage, fage, age, agelim, agebase; double ftolpl=FTOL; @@ -2466,7 +2674,7 @@ int main(int argc, char *argv[]) double dateprev1, dateprev2,jproj1,mproj1,anproj1,jproj2,mproj2,anproj2; - char version[80]="Imach version 0.71e, March 2002, INED-EUROREVES "; + char version[80]="Imach version 0.8e, May 2002, INED-EUROREVES "; char *alph[]={"a","a","b","c","d","e"}, str[4]; @@ -2479,7 +2687,7 @@ int main(int argc, char *argv[]) struct timeval start_time, end_time; gettimeofday(&start_time, (struct timezone*)0); */ /* at first time */ - + getcwd(pathcd, size); printf("\n%s",version); if(argc <=1){ @@ -2527,9 +2735,9 @@ int main(int argc, char *argv[]) } ungetc(c,ficpar); - fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncov, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model); - printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncov, nlstate,ndeath, maxwav, mle, weightopt,model); - fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncov,nlstate,ndeath,maxwav, mle, weightopt,model); + fscanf(ficpar,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%lf stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n",title, datafile, &lastobs, &firstpass,&lastpass,&ftol, &stepm, &ncovcol, &nlstate,&ndeath, &maxwav, &mle, &weightopt,model); + printf("title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate,ndeath, maxwav, mle, weightopt,model); + fprintf(ficparo,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle=%d weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol,stepm,ncovcol,nlstate,ndeath,maxwav, mle, weightopt,model); while((c=getc(ficpar))=='#' && c!= EOF){ ungetc(c,ficpar); fgets(line, MAXLINE, ficpar); @@ -2686,7 +2894,7 @@ while((c=getc(ficpar))=='#' && c!= EOF){ cutv(stra, strb,line,' '); moisnais[i]=(double)(atoi(strb)); strcpy(line,stra); cutv(stra, strb,line,' '); weight[i]=(double)(atoi(strb)); strcpy(line,stra); - for (j=ncov;j>=1;j--){ + for (j=ncovcol;j>=1;j--){ cutv(stra, strb,line,' '); covar[j][i]=(double)(atoi(strb)); strcpy(line,stra); } num[i]=atol(stra); @@ -2705,11 +2913,12 @@ while((c=getc(ficpar))=='#' && c!= EOF){ if ((s[1][i]==3) && (s[2][i]==2)) s[2][i]=3; if ((s[2][i]==3) && (s[3][i]==2)) s[3][i]=3; if ((s[3][i]==3) && (s[4][i]==2)) s[4][i]=3; - } - - for (i=1; i<=imx; i++) - if (covar[1][i]==0) printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]), (weight[i]), (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]), (mint[2][i]), (anint[2][i]), (s[2][i]), (mint[3][i]), (anint[3][i]), (s[3][i]), (mint[4][i]), (anint[4][i]), (s[4][i]));*/ - + }*/ + /* for (i=1; i<=imx; i++){ + if (s[4][i]==9) s[4][i]=-1; + printf("%d %.lf %.lf %.lf %.lf/%.lf %.lf/%.lf %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d %.lf/%.lf %d\n",num[i],(covar[1][i]), (covar[2][i]), (weight[i]), (moisnais[i]), (annais[i]), (moisdc[i]), (andc[i]), (mint[1][i]), (anint[1][i]), (s[1][i]), (mint[2][i]), (anint[2][i]), (s[2][i]), (mint[3][i]), (anint[3][i]), (s[3][i]), (mint[4][i]), (anint[4][i]), (s[4][i]));}*/ + + /* Calculation of the number of parameter from char model*/ Tvar=ivector(1,15); Tprod=ivector(1,15); @@ -2724,7 +2933,6 @@ while((c=getc(ficpar))=='#' && c!= EOF){ cptcovn=j+1; cptcovprod=j1; - strcpy(modelsav,model); if ((strcmp(model,"age")==0) || (strcmp(model,"age*age")==0)){ printf("Error. Non available option model=%s ",model); @@ -2755,7 +2963,7 @@ while((c=getc(ficpar))=='#' && c!= EOF){ } else { cutv(strb,stre,strc,'V'); - Tvar[i]=ncov+k1; + Tvar[i]=ncovcol+k1; cutv(strb,strc,strd,'V'); Tprod[k1]=i; Tvard[k1][1]=atoi(strc); @@ -2763,7 +2971,7 @@ while((c=getc(ficpar))=='#' && c!= EOF){ Tvar[cptcovn+k2]=Tvard[k1][1]; Tvar[cptcovn+k2+1]=Tvard[k1][2]; for (k=1; k<=lastobs;k++) - covar[ncov+k1][k]=covar[atoi(stre)][k]*covar[atoi(strc)][k]; + covar[ncovcol+k1][k]=covar[atoi(stre)][k]*covar[atoi(strc)][k]; k1++; k2=k2+2; } @@ -2780,7 +2988,7 @@ while((c=getc(ficpar))=='#' && c!= EOF){ } } - /*printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]); + /* printf("tvar1=%d tvar2=%d tvar3=%d cptcovage=%d Tage=%d",Tvar[1],Tvar[2],Tvar[3],cptcovage,Tage[1]); printf("cptcovprod=%d ", cptcovprod); scanf("%d ",i);*/ fclose(fic); @@ -2792,22 +3000,26 @@ while((c=getc(ficpar))=='#' && c!= EOF){ /*-calculation of age at interview from date of interview and age at death -*/ agev=matrix(1,maxwav,1,imx); - for (i=1; i<=imx; i++) - for(m=2; (m<= maxwav); m++) + for (i=1; i<=imx; i++) { + for(m=2; (m<= maxwav); m++) { if ((mint[m][i]== 99) && (s[m][i] <= nlstate)){ anint[m][i]=9999; s[m][i]=-1; } - + if(moisdc[i]==99 && andc[i]==9999 & s[m][i]>nlstate) s[m][i]=-1; + } + } + for (i=1; i<=imx; i++) { agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]); for(m=1; (m<= maxwav); m++){ if(s[m][i] >0){ - if (s[m][i] == nlstate+1) { + if (s[m][i] >= nlstate+1) { if(agedc[i]>0) if(moisdc[i]!=99 && andc[i]!=9999) - agev[m][i]=agedc[i]; - else { + agev[m][i]=agedc[i]; + /*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/ + else { if (andc[i]!=9999){ printf("Warning negative age at death: %d line:%d\n",num[i],i); agev[m][i]=-1; @@ -2882,20 +3094,21 @@ printf("Total number of individuals= %d, for(j=1; j <= ncodemax[k]; j++){ for(cpt=1; cpt <=(m/pow(2,cptcoveff+1-k)); cpt++){ h++; - if (h>m) h=1;codtab[h][k]=j; + if (h>m) h=1;codtab[h][k]=j;codtab[h][Tvar[k]]=j; + /* printf("h=%d k=%d j=%d codtab[h][k]=%d tvar[k]=%d \n",h, k,j,codtab[h][k],Tvar[k]);*/ } } } } - - - /*for(i=1; i <=m ;i++){ - for(k=1; k <=cptcovn; k++){ - printf("i=%d k=%d %d %d",i,k,codtab[i][k], cptcoveff); - } - printf("\n"); - } - scanf("%d",i);*/ + /* printf("codtab[1][2]=%d codtab[2][2]=%d",codtab[1][2],codtab[2][2]); + codtab[1][2]=1;codtab[2][2]=2; */ + /* for(i=1; i <=m ;i++){ + for(k=1; k <=cptcovn; k++){ + printf("i=%d k=%d %d %d ",i,k,codtab[i][k], cptcoveff); + } + printf("\n"); + } + scanf("%d",i);*/ /* Calculates basic frequencies. Computes observed prevalence at single age and prints on file fileres'p'. */ @@ -2917,12 +3130,12 @@ printf("Total number of individuals= %d, } /*--------- results files --------------*/ - fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncov=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncov, nlstate, ndeath, maxwav, weightopt,model); + fprintf(ficres,"title=%s datafile=%s lastobs=%d firstpass=%d lastpass=%d\nftol=%e stepm=%d ncovcol=%d nlstate=%d ndeath=%d maxwav=%d mle= 0 weight=%d\nmodel=%s\n", title, datafile, lastobs, firstpass,lastpass,ftol, stepm, ncovcol, nlstate, ndeath, maxwav, weightopt,model); jk=1; - fprintf(ficres,"# Parameters\n"); - printf("# Parameters\n"); + fprintf(ficres,"# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); + printf("# Parameters nlstate*nlstate*ncov a12*1 + b12 * age + ...\n"); for(i=1,jk=1; i <=nlstate; i++){ for(k=1; k <=(nlstate+ndeath); k++){ if (k != i) @@ -2944,8 +3157,8 @@ printf("Total number of individuals= %d, ftolhess=ftol; /* Usually correct */ hesscov(matcov, p, npar, delti, ftolhess, func); } - fprintf(ficres,"# Scales\n"); - printf("# Scales\n"); + fprintf(ficres,"# Scales (for hessian or gradient estimation)\n"); + printf("# Scales (for hessian or gradient estimation)\n"); for(i=1,jk=1; i <=nlstate; i++){ for(j=1; j <=nlstate+ndeath; j++){ if (j!=i) { @@ -2963,8 +3176,8 @@ printf("Total number of individuals= %d, } k=1; - fprintf(ficres,"# Covariance\n"); - printf("# Covariance\n"); + fprintf(ficres,"# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n"); + printf("# Covariance matrix \n# 121 Var(a12)\n# 122 Cov(b12,a12) Var(b12)\n# ...\n# 232 Cov(b23,a12) Cov(b23,b12) ... Var (b23)\n"); for(i=1;i<=npar;i++){ /* if (k>nlstate) k=1; i1=(i-1)/(ncovmodel*nlstate)+1; @@ -2988,17 +3201,17 @@ printf("Total number of individuals= %d, fputs(line,ficparo); } ungetc(c,ficpar); - - fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf\n",&agemin,&agemaxpar, &bage, &fage); - + estepm=0; + fscanf(ficpar,"agemin=%lf agemax=%lf bage=%lf fage=%lf estepm=%d\n",&ageminpar,&agemaxpar, &bage, &fage, &estepm); + if (estepm==0 || estepm < stepm) estepm=stepm; if (fage <= 2) { - bage = agemin; + bage = ageminpar; fage = agemaxpar; } fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n"); - fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",agemin,agemaxpar,bage,fage); - fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f\n",agemin,agemaxpar,bage,fage); + fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm); + fprintf(ficparo,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm); while((c=getc(ficpar))=='#' && c!= EOF){ ungetc(c,ficpar); @@ -3056,7 +3269,7 @@ while((c=getc(ficpar))=='#' && c!= EOF){ freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2,jprev1, mprev1,anprev1,jprev2, mprev2,anprev2); /*------------ gnuplot -------------*/ - printinggnuplot(fileres,optionfilefiname,optionfile,optionfilegnuplot, agemin,agemaxpar,fage, pathc,p); + printinggnuplot(fileres,optionfilefiname,optionfile,optionfilegnuplot, ageminpar,agemaxpar,fage, pathc,p); /*------------ free_vector -------------*/ chdir(path); @@ -3072,7 +3285,7 @@ while((c=getc(ficpar))=='#' && c!= EOF){ /*--------- index.htm --------*/ - printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,model,imx,jmin,jmax,jmean,optionfile,optionfilehtm,rfileres); + printinghtml(fileres,title,datafile, firstpass, lastpass, stepm, weightopt,model,imx,jmin,jmax,jmean,optionfile,optionfilehtm,rfileres,optionfilegnuplot,version,popforecast,estepm,jprev1,mprev1,anprev1,jprev2,mprev2,anprev2); /*--------------- Prevalence limit --------------*/ @@ -3095,7 +3308,7 @@ while((c=getc(ficpar))=='#' && c!= EOF){ savms= matrix(1,nlstate+ndeath,1,nlstate+ndeath); /* creation */ oldm=oldms; newm=newms; savm=savms; /* Keeps fixed addresses to free */ k=0; - agebase=agemin; + agebase=ageminpar; agelim=agemaxpar; ftolpl=1.e-10; i1=cptcoveff; @@ -3156,20 +3369,20 @@ while((c=getc(ficpar))=='#' && c!= EOF){ for(j=1; j<=nlstate+ndeath;j++) fprintf(ficrespij," %1d-%1d",i,j); fprintf(ficrespij,"\n"); - for (h=0; h<=nhstepm; h++){ + for (h=0; h<=nhstepm; h++){ fprintf(ficrespij,"%d %.0f %.0f",k,agedeb, agedeb+ h*hstepm/YEARM*stepm ); for(i=1; i<=nlstate;i++) for(j=1; j<=nlstate+ndeath;j++) fprintf(ficrespij," %.5f", p3mat[i][j][h]); fprintf(ficrespij,"\n"); - } + } free_ma3x(p3mat,1,nlstate+ndeath,1, nlstate+ndeath, 0,nhstepm); fprintf(ficrespij,"\n"); } } } - /* varprob(fileres, matcov, p, delti, nlstate, (int) bage, (int) fage,k);*/ + varprob(fileres, matcov, p, delti, nlstate, (int) bage, (int) fage,k,Tvar,nbcode, ncodemax); fclose(ficrespij); @@ -3178,9 +3391,7 @@ while((c=getc(ficpar))=='#' && c!= EOF){ if((stepm == 1) && (strcmp(model,".")==0)){ prevforecast(fileres, anproj1,mproj1,jproj1, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anproj2,p, i1); if (popforecast==1) populforecast(fileres, anpyram,mpyram,jpyram, agemin,agemax, dateprev1, dateprev2,mobilav, agedeb, fage, popforecast, popfile, anpyram1,p, i1); - free_matrix(mint,1,maxwav,1,n); - free_matrix(anint,1,maxwav,1,n); free_imatrix(s,1,maxwav+1,1,n); - free_vector(weight,1,n);} + } else{ erreur=108; printf("Warning %d!! You can only forecast the prevalences if the optimization\n has been performed with stepm = 1 (month) instead of %d or model=. instead of '%s'\n", erreur, stepm, model); @@ -3210,6 +3421,8 @@ while((c=getc(ficpar))=='#' && c!= EOF){ printf("Problem with variance resultfile: %s\n", fileresv);exit(0); } printf("Computing Variance-covariance of DFLEs: file '%s' \n", fileresv); + calagedate=-1; +prevalence(ageminpar, agemax, s, agev, nlstate, imx,Tvar,nbcode, ncodemax,mint,anint,dateprev1,dateprev2, calagedate); k=0; for(cptcov=1;cptcov<=i1;cptcov++){ @@ -3222,20 +3435,21 @@ while((c=getc(ficpar))=='#' && c!= EOF){ fprintf(ficreseij,"\n#****** "); for(j=1;j<=cptcoveff;j++) - fprintf(ficreseij,"V%d=%d ",j,nbcode[j][codtab[k][j]]); + fprintf(ficreseij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); fprintf(ficreseij,"******\n"); fprintf(ficresvij,"\n#****** "); for(j=1;j<=cptcoveff;j++) - fprintf(ficresvij,"V%d=%d ",j,nbcode[j][codtab[k][j]]); + fprintf(ficresvij,"V%d=%d ",Tvaraff[j],nbcode[Tvaraff[j]][codtab[k][j]]); fprintf(ficresvij,"******\n"); eij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); oldm=oldms;savm=savms; - evsij(fileres, eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k); + evsij(fileres, eij, p, nlstate, stepm, (int) bage, (int)fage, oldm, savm, k, estepm, delti, matcov); + vareij=ma3x(1,nlstate,1,nlstate,(int) bage, (int) fage); oldm=oldms;savm=savms; - varevsij(fileres, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k); + varevsij(fileres, vareij, matcov, p, delti, nlstate, stepm, (int) bage, (int) fage, oldm, savm, prlim, ftolpl,k, estepm); @@ -3255,21 +3469,25 @@ while((c=getc(ficpar))=='#' && c!= EOF){ for(j=1, epj[nlstate+1]=0.;j <=nlstate;j++){ for(i=1, epj[j]=0.;i <=nlstate;i++) { epj[j] += prlim[i][i]*eij[i][j][(int)age]; + /* printf("%lf %lf ", prlim[i][i] ,eij[i][j][(int)age]);*/ } epj[nlstate+1] +=epj[j]; } + for(i=1, vepp=0.;i <=nlstate;i++) for(j=1;j <=nlstate;j++) vepp += vareij[i][j][(int)age]; - fprintf(ficrest," %7.2f (%7.2f)", epj[nlstate+1],sqrt(vepp)); + fprintf(ficrest," %7.3f (%7.3f)", epj[nlstate+1],sqrt(vepp)); for(j=1;j <=nlstate;j++){ - fprintf(ficrest," %7.2f (%7.2f)", epj[j],sqrt(vareij[j][j][(int)age])); + fprintf(ficrest," %7.3f (%7.3f)", epj[j],sqrt(vareij[j][j][(int)age])); } fprintf(ficrest,"\n"); } } } - +free_matrix(mint,1,maxwav,1,n); + free_matrix(anint,1,maxwav,1,n); free_imatrix(s,1,maxwav+1,1,n); + free_vector(weight,1,n); fclose(ficreseij); fclose(ficresvij); fclose(ficrest); @@ -3321,7 +3539,7 @@ while((c=getc(ficpar))=='#' && c!= EOF){ free_ma3x(param,1,nlstate,1, nlstate+ndeath-1,1,ncovmodel); if(erreur >0) - printf("End of Imach with error %d\n",erreur); + printf("End of Imach with error or warning %d\n",erreur); else printf("End of Imach\n"); /* gettimeofday(&end_time, (struct timezone*)0);*/ /* after time */ @@ -3345,14 +3563,12 @@ while((c=getc(ficpar))=='#' && c!= EOF){ #ifdef windows while (z[0] != 'q') { - chdir(path); - printf("\nType e to edit output files, c to start again, and q for exiting: "); + /* chdir(path); */ + printf("\nType e to edit output files, g to graph again, c to start again, and q for exiting: "); scanf("%s",z); if (z[0] == 'c') system("./imach"); - else if (z[0] == 'e') { - chdir(path); - system(optionfilehtm); - } + else if (z[0] == 'e') system(optionfilehtm); + else if (z[0] == 'g') system(plotcmd); else if (z[0] == 'q') exit(0); } #endif