version 1.210, 2015/11/18 17:41:20
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version 1.215, 2015/12/16 08:52:24
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/* $Id$ |
/* $Id$ |
$State$ |
$State$ |
$Log$ |
$Log$ |
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Revision 1.215 2015/12/16 08:52:24 brouard |
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Summary: 0.98r4 working |
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Revision 1.214 2015/12/16 06:57:54 brouard |
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Summary: temporary not working |
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Revision 1.213 2015/12/11 18:22:17 brouard |
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Summary: 0.98r4 |
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Revision 1.212 2015/11/21 12:47:24 brouard |
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Summary: minor typo |
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Revision 1.211 2015/11/21 12:41:11 brouard |
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Summary: 0.98r3 with some graph of projected cross-sectional |
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Author: Nicolas Brouard |
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Revision 1.210 2015/11/18 17:41:20 brouard |
Revision 1.210 2015/11/18 17:41:20 brouard |
Summary: Start working on projected prevalences |
Summary: Start working on projected prevalences |
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Line 757 typedef struct {
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Line 774 typedef struct {
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#define NDEATHMAX 8 /**< Maximum number of dead states (for func) */ |
#define NDEATHMAX 8 /**< Maximum number of dead states (for func) */ |
#define NCOVMAX 20 /**< Maximum number of covariates, including generated covariates V1*V2 */ |
#define NCOVMAX 20 /**< Maximum number of covariates, including generated covariates V1*V2 */ |
#define codtabm(h,k) (1 & (h-1) >> (k-1))+1 |
#define codtabm(h,k) (1 & (h-1) >> (k-1))+1 |
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/*#define decodtabm(h,k,cptcoveff)= (h <= (1<<cptcoveff)?(((h-1) >> (k-1)) & 1) +1 : -1)*/ |
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#define decodtabm(h,k,cptcoveff) (((h-1) >> (k-1)) & 1) +1 |
#define MAXN 20000 |
#define MAXN 20000 |
#define YEARM 12. /**< Number of months per year */ |
#define YEARM 12. /**< Number of months per year */ |
#define AGESUP 130 |
#define AGESUP 130 |
Line 814 double **matprod2(); /* test */
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Line 833 double **matprod2(); /* test */
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double **oldm, **newm, **savm; /* Working pointers to matrices */ |
double **oldm, **newm, **savm; /* Working pointers to matrices */ |
double **oldms, **newms, **savms; /* Fixed working pointers to matrices */ |
double **oldms, **newms, **savms; /* Fixed working pointers to matrices */ |
/*FILE *fic ; */ /* Used in readdata only */ |
/*FILE *fic ; */ /* Used in readdata only */ |
FILE *ficpar, *ficparo,*ficres, *ficresp, *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop; |
FILE *ficpar, *ficparo,*ficres, *ficresp, *ficresphtm, *ficresphtmfr, *ficrespl, *ficrespij, *ficrest,*ficresf,*ficrespop; |
FILE *ficlog, *ficrespow; |
FILE *ficlog, *ficrespow; |
int globpr=0; /* Global variable for printing or not */ |
int globpr=0; /* Global variable for printing or not */ |
double fretone; /* Only one call to likelihood */ |
double fretone; /* Only one call to likelihood */ |
Line 1376 char *subdirf3(char fileres[], char *pre
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Line 1395 char *subdirf3(char fileres[], char *pre
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strcat(tmpout,fileres); |
strcat(tmpout,fileres); |
return tmpout; |
return tmpout; |
} |
} |
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/*************** function subdirfext ***********/ |
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char *subdirfext(char fileres[], char *preop, char *postop) |
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{ |
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strcpy(tmpout,preop); |
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strcat(tmpout,fileres); |
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strcat(tmpout,postop); |
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return tmpout; |
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} |
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/*************** function subdirfext3 ***********/ |
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char *subdirfext3(char fileres[], char *preop, char *postop) |
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{ |
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/* Caution optionfilefiname is hidden */ |
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strcpy(tmpout,optionfilefiname); |
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strcat(tmpout,"/"); |
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strcat(tmpout,preop); |
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strcat(tmpout,fileres); |
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strcat(tmpout,postop); |
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return tmpout; |
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} |
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char *asc_diff_time(long time_sec, char ascdiff[]) |
char *asc_diff_time(long time_sec, char ascdiff[]) |
{ |
{ |
long sec_left, days, hours, minutes; |
long sec_left, days, hours, minutes; |
Line 2213 double ***hpxij(double ***po, int nhstep
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Line 2255 double ***hpxij(double ***po, int nhstep
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double **out, cov[NCOVMAX+1]; |
double **out, cov[NCOVMAX+1]; |
double **newm; |
double **newm; |
double agexact; |
double agexact; |
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double agebegin, ageend; |
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/* Hstepm could be zero and should return the unit matrix */ |
/* Hstepm could be zero and should return the unit matrix */ |
for (i=1;i<=nlstate+ndeath;i++) |
for (i=1;i<=nlstate+ndeath;i++) |
Line 2226 double ***hpxij(double ***po, int nhstep
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Line 2269 double ***hpxij(double ***po, int nhstep
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newm=savm; |
newm=savm; |
/* Covariates have to be included here again */ |
/* Covariates have to be included here again */ |
cov[1]=1.; |
cov[1]=1.; |
agexact=age+((h-1)*hstepm + (d-1))*stepm/YEARM; |
agexact=age+((h-1)*hstepm + (d-1))*stepm/YEARM; /* age just before transition */ |
cov[2]=agexact; |
cov[2]=agexact; |
if(nagesqr==1) |
if(nagesqr==1) |
cov[3]= agexact*agexact; |
cov[3]= agexact*agexact; |
Line 2597 double funcone( double *x)
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Line 2640 double funcone( double *x)
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int s1, s2; |
int s1, s2; |
double bbh, survp; |
double bbh, survp; |
double agexact; |
double agexact; |
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double agebegin, ageend; |
/*extern weight */ |
/*extern weight */ |
/* We are differentiating ll according to initial status */ |
/* We are differentiating ll according to initial status */ |
/* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/ |
/* for (i=1;i<=npar;i++) printf("%f ", x[i]);*/ |
Line 2615 double funcone( double *x)
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Line 2659 double funcone( double *x)
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oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
oldm[ii][j]=(ii==j ? 1.0 : 0.0); |
savm[ii][j]=(ii==j ? 1.0 : 0.0); |
savm[ii][j]=(ii==j ? 1.0 : 0.0); |
} |
} |
for(d=0; d<dh[mi][i]; d++){ |
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agebegin=agev[mw[mi][i]][i]; /* Age at beginning of effective wave */ |
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ageend=agev[mw[mi][i]][i] + (dh[mi][i])*stepm/YEARM; /* Age at end of effective wave and at the end of transition */ |
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for(d=0; d<dh[mi][i]; d++){ /* Delay between two effective waves */ |
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/*dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i] |
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and mw[mi+1][i]. dh depends on stepm.*/ |
newm=savm; |
newm=savm; |
agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
agexact=agev[mw[mi][i]][i]+d*stepm/YEARM; |
cov[2]=agexact; |
cov[2]=agexact; |
Line 2663 double funcone( double *x)
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Line 2712 double funcone( double *x)
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ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
ll[s[mw[mi][i]][i]] += 2*weight[i]*lli; |
/*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */ |
/*printf("i=%6d s1=%1d s2=%1d mi=%1d mw=%1d dh=%3d prob=%10.6f w=%6.4f out=%10.6f sav=%10.6f\n",i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],out[s1][s2],savm[s1][s2]); */ |
if(globpr){ |
if(globpr){ |
fprintf(ficresilk,"%9ld %6.1f %6d %2d %2d %2d %2d %3d %11.6f %8.4f %8.3f\ |
fprintf(ficresilk,"%9ld %6.1f %6.1f %6d %2d %2d %2d %2d %3d %11.6f %8.4f %8.3f\ |
%11.6f %11.6f %11.6f ", \ |
%11.6f %11.6f %11.6f ", \ |
num[i], agexact, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw, |
num[i], agebegin, ageend, i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],weight[i]*gipmx/gsw, |
2*weight[i]*lli,out[s1][s2],savm[s1][s2]); |
2*weight[i]*lli,out[s1][s2],savm[s1][s2]); |
for(k=1,llt=0.,l=0.; k<=nlstate; k++){ |
for(k=1,llt=0.,l=0.; k<=nlstate; k++){ |
llt +=ll[k]*gipmx/gsw; |
llt +=ll[k]*gipmx/gsw; |
Line 2703 void likelione(FILE *ficres,double p[],
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Line 2752 void likelione(FILE *ficres,double p[],
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printf("Problem with resultfile: %s\n", fileresilk); |
printf("Problem with resultfile: %s\n", fileresilk); |
fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk); |
fprintf(ficlog,"Problem with resultfile: %s\n", fileresilk); |
} |
} |
fprintf(ficresilk, "#individual(line's_record) count age s1 s2 wave# effective_wave# number_of_matrices_product pij weight weight/gpw -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total\n"); |
fprintf(ficresilk, "#individual(line's_record) count ageb ageend s1 s2 wave# effective_wave# number_of_matrices_product pij weight weight/gpw -2ln(pij)*weight 0pij_x 0pij_(x-stepm) cumulating_loglikeli_by_health_state(reweighted=-2ll*weightXnumber_of_contribs/sum_of_weights) and_total\n"); |
fprintf(ficresilk, "#num_i age i s1 s2 mi mw dh likeli weight %%weight 2wlli out sav "); |
fprintf(ficresilk, "#num_i ageb agend i s1 s2 mi mw dh likeli weight %%weight 2wlli out sav "); |
/* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2*weight[i]*lli,out[s1][s2],savm[s1][s2]); */ |
/* i,s1,s2,mi,mw[mi][i],dh[mi][i],exp(lli),weight[i],2*weight[i]*lli,out[s1][s2],savm[s1][s2]); */ |
for(k=1; k<=nlstate; k++) |
for(k=1; k<=nlstate; k++) |
fprintf(ficresilk," -2*gipw/gsw*weight*ll[%d]++",k); |
fprintf(ficresilk," -2*gipw/gsw*weight*ll[%d]++",k); |
Line 2722 void likelione(FILE *ficres,double p[],
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Line 2771 void likelione(FILE *ficres,double p[],
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for (k=1; k<= nlstate ; k++) { |
for (k=1; k<= nlstate ; k++) { |
fprintf(fichtm,"<br>- Probability p%dj by origin %d and destination j <a href=\"%s-p%dj.png\">%s-p%dj.png</a><br> \ |
fprintf(fichtm,"<br>- Probability p<sub>%dj</sub> by origin %d and destination j. Dot's sizes are related to corresponding weight: <a href=\"%s-p%dj.png\">%s-p%dj.png</a><br> \ |
<img src=\"%s-p%dj.png\">",k,k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k); |
<img src=\"%s-p%dj.png\">",k,k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k,subdirf2(optionfilefiname,"ILK_"),k); |
} |
} |
fprintf(fichtm,"<br>- The function drawn is -2Log(L) in Log scale: by state of origin <a href=\"%s-ori.png\">%s-ori.png</a><br> \ |
fprintf(fichtm,"<br>- The function drawn is -2Log(L) in Log scale: by state of origin <a href=\"%s-ori.png\">%s-ori.png</a><br> \ |
Line 3178 void pstamp(FILE *fichier)
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Line 3227 void pstamp(FILE *fichier)
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} |
} |
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/************ Frequencies ********************/ |
/************ Frequencies ********************/ |
void freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, int *Tvaraff, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[]) |
void freqsummary(char fileres[], int iagemin, int iagemax, int **s, double **agev, int nlstate, int imx, \ |
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int *Tvaraff, int **nbcode, int *ncodemax,double **mint,double **anint, char strstart[],\ |
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int firstpass, int lastpass, int stepm, int weightopt, char model[]) |
{ /* Some frequencies */ |
{ /* Some frequencies */ |
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int i, m, jk, j1, bool, z1,j; |
int i, m, jk, j1, bool, z1,j; |
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int mi; /* Effective wave */ |
int first; |
int first; |
double ***freq; /* Frequencies */ |
double ***freq; /* Frequencies */ |
double *pp, **prop; |
double *pp, **prop; |
double pos,posprop, k2, dateintsum=0,k2cpt=0; |
double pos,posprop, k2, dateintsum=0,k2cpt=0; |
char fileresp[FILENAMELENGTH]; |
char fileresp[FILENAMELENGTH], fileresphtm[FILENAMELENGTH], fileresphtmfr[FILENAMELENGTH]; |
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double agebegin, ageend; |
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pp=vector(1,nlstate); |
pp=vector(1,nlstate); |
prop=matrix(1,nlstate,iagemin,iagemax+3); |
prop=matrix(1,nlstate,iagemin,iagemax+3); |
strcpy(fileresp,"P_"); |
strcpy(fileresp,"P_"); |
strcat(fileresp,fileresu); |
strcat(fileresp,fileresu); |
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/*strcat(fileresphtm,fileresu);*/ |
if((ficresp=fopen(fileresp,"w"))==NULL) { |
if((ficresp=fopen(fileresp,"w"))==NULL) { |
printf("Problem with prevalence resultfile: %s\n", fileresp); |
printf("Problem with prevalence resultfile: %s\n", fileresp); |
fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp); |
fprintf(ficlog,"Problem with prevalence resultfile: %s\n", fileresp); |
exit(0); |
exit(0); |
} |
} |
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strcpy(fileresphtm,subdirfext(optionfilefiname,"PHTM_",".htm")); |
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if((ficresphtm=fopen(fileresphtm,"w"))==NULL) { |
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printf("Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); |
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fprintf(ficlog,"Problem with prevalence HTM resultfile '%s' with errno='%s'\n",fileresphtm,strerror(errno)); |
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fflush(ficlog); |
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exit(70); |
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} |
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else{ |
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fprintf(ficresphtm,"<html><head>\n<title>IMaCh PHTM_ %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
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<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
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Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
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fileresphtm,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
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} |
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fprintf(ficresphtm,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies and prevalence by age at begin of transition</h4>\n",fileresphtm, fileresphtm); |
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strcpy(fileresphtmfr,subdirfext(optionfilefiname,"PHTMFR_",".htm")); |
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if((ficresphtmfr=fopen(fileresphtmfr,"w"))==NULL) { |
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printf("Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); |
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fprintf(ficlog,"Problem with frequency table HTM resultfile '%s' with errno='%s'\n",fileresphtmfr,strerror(errno)); |
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fflush(ficlog); |
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exit(70); |
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} |
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else{ |
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fprintf(ficresphtmfr,"<html><head>\n<title>IMaCh PHTM_Frequency table %s</title></head>\n <body><font size=\"2\">%s <br> %s</font> \ |
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<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
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Title=%s <br>Datafile=%s Firstpass=%d Lastpass=%d Stepm=%d Weight=%d Model=1+age+%s<br>\n",\ |
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fileresphtmfr,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
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} |
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fprintf(ficresphtmfr,"Current page is file <a href=\"%s\">%s</a><br>\n\n<h4>Frequencies of all effective transitions by age at begin of transition </h4>Unknown status is -1<br/>\n",fileresphtmfr, fileresphtmfr); |
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freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin,iagemax+3); |
freq= ma3x(-5,nlstate+ndeath,-5,nlstate+ndeath,iagemin,iagemax+3); |
j1=0; |
j1=0; |
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Line 3205 void freqsummary(char fileres[], int ia
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Line 3290 void freqsummary(char fileres[], int ia
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first=1; |
first=1; |
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/* for(k1=1; k1<=j ; k1++){ */ /* Loop on covariates */ |
for (j1 = 1; j1 <= (int) pow(2,cptcoveff); j1++){ /* Loop on covariates combination */ |
/* for(i1=1; i1<=ncodemax[k1];i1++){ */ /* Now it is 2 */ |
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/* j1++; */ |
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for (j1 = 1; j1 <= (int) pow(2,cptcoveff); j1++){ |
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/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); |
/*printf("cptcoveff=%d Tvaraff=%d", cptcoveff,Tvaraff[1]); |
scanf("%d", i);*/ |
scanf("%d", i);*/ |
for (i=-5; i<=nlstate+ndeath; i++) |
for (i=-5; i<=nlstate+ndeath; i++) |
Line 3222 void freqsummary(char fileres[], int ia
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Line 3304 void freqsummary(char fileres[], int ia
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dateintsum=0; |
dateintsum=0; |
k2cpt=0; |
k2cpt=0; |
for (i=1; i<=imx; i++) { |
for (i=1; i<=imx; i++) { /* For each individual i */ |
bool=1; |
bool=1; |
if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
for (z1=1; z1<=cptcoveff; z1++) |
for (z1=1; z1<=cptcoveff; z1++) |
Line 3235 void freqsummary(char fileres[], int ia
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Line 3317 void freqsummary(char fileres[], int ia
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/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ |
/* For j1=7 in V1+V2+V3+V4 = 0 1 1 0 and codtabm(7,3)=1 and nbcde[3][?]=1*/ |
} |
} |
} /* cptcovn > 0 */ |
} /* cptcovn > 0 */ |
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if (bool==1){ |
if (bool==1){ |
for(m=firstpass; m<=lastpass; m++){ |
/* for(m=firstpass; m<=lastpass; m++){ */ |
k2=anint[m][i]+(mint[m][i]/12.); |
for(mi=1; mi<wav[i];mi++){ |
/*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/ |
m=mw[mi][i]; |
if(agev[m][i]==0) agev[m][i]=iagemax+1; |
/* dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective (mi) waves m=mw[mi][i] |
if(agev[m][i]==1) agev[m][i]=iagemax+2; |
and mw[mi+1][i]. dh depends on stepm. */ |
if (s[m][i]>0 && s[m][i]<=nlstate) prop[s[m][i]][(int)agev[m][i]] += weight[i]; |
agebegin=agev[m][i]; /* Age at beginning of wave before transition*/ |
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ageend=agev[m][i]+(dh[m][i])*stepm/YEARM; /* Age at end of wave and transition */ |
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if(m >=firstpass && m <=lastpass){ |
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k2=anint[m][i]+(mint[m][i]/12.); |
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/*if ((k2>=dateprev1) && (k2<=dateprev2)) {*/ |
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if(agev[m][i]==0) agev[m][i]=iagemax+1; /* All ages equal to 0 are in iagemax+1 */ |
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if(agev[m][i]==1) agev[m][i]=iagemax+2; /* All ages equal to 1 are in iagemax+2 */ |
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if (s[m][i]>0 && s[m][i]<=nlstate) /* If status at wave m is known and a live state */ |
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prop[s[m][i]][(int)agev[m][i]] += weight[i]; /* At age of beginning of transition, where status is known */ |
if (m<lastpass) { |
if (m<lastpass) { |
freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i]; |
/* if(s[m][i]==4 && s[m+1][i]==4) */ |
freq[s[m][i]][s[m+1][i]][iagemax+3] += weight[i]; |
/* printf(" num=%ld m=%d, i=%d s1=%d s2=%d agev at m=%d\n", num[i], m, i,s[m][i],s[m+1][i], (int)agev[m][i]); */ |
} |
if(s[m][i]==-1) |
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printf(" num=%ld m=%d, i=%d s1=%d s2=%d agev at m=%d agebegin=%.2f ageend=%.2f, agemed=%d\n", num[i], m, i,s[m][i],s[m+1][i], (int)agev[m][i],agebegin, ageend, (int)((agebegin+ageend)/2.)); |
if ((agev[m][i]>1) && (agev[m][i]< (iagemax+3)) && (anint[m][i]!=9999) && (mint[m][i]!=99)) { |
freq[s[m][i]][s[m+1][i]][(int)agev[m][i]] += weight[i]; /* At age of beginning of transition, where status is known */ |
dateintsum=dateintsum+k2; |
/* freq[s[m][i]][s[m+1][i]][(int)((agebegin+ageend)/2.)] += weight[i]; */ |
k2cpt++; |
freq[s[m][i]][s[m+1][i]][iagemax+3] += weight[i]; /* Total is in iagemax+3 *//* At age of beginning of transition, where status is known */ |
/* printf("i=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",i, dateintsum/k2cpt, dateintsum,k2cpt, k2); */ |
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} |
} |
/*}*/ |
} |
|
if ((agev[m][i]>1) && (agev[m][i]< (iagemax+3)) && (anint[m][i]!=9999) && (mint[m][i]!=99)) { |
|
dateintsum=dateintsum+k2; |
|
k2cpt++; |
|
/* printf("i=%ld dateintmean = %lf dateintsum=%lf k2cpt=%lf k2=%lf\n",i, dateintsum/k2cpt, dateintsum,k2cpt, k2); */ |
|
} |
|
/*}*/ |
} /* end m */ |
} /* end m */ |
} /* end bool */ |
} /* end bool */ |
} /* end i = 1 to imx */ |
} /* end i = 1 to imx */ |
Line 3262 void freqsummary(char fileres[], int ia
|
Line 3357 void freqsummary(char fileres[], int ia
|
pstamp(ficresp); |
pstamp(ficresp); |
if (cptcovn>0) { |
if (cptcovn>0) { |
fprintf(ficresp, "\n#********** Variable "); |
fprintf(ficresp, "\n#********** Variable "); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficresphtm, "\n<br/><br/><h3>********** Variable "); |
fprintf(ficresp, "**********\n#"); |
fprintf(ficresphtmfr, "\n<br/><br/><h3>********** Variable "); |
|
for (z1=1; z1<=cptcoveff; z1++){ |
|
fprintf(ficresp, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
|
fprintf(ficresphtm, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
|
fprintf(ficresphtmfr, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
|
} |
|
fprintf(ficresp, "**********\n#"); |
|
fprintf(ficresphtm, "**********</h3>\n"); |
|
fprintf(ficresphtmfr, "**********</h3>\n"); |
fprintf(ficlog, "\n#********** Variable "); |
fprintf(ficlog, "\n#********** Variable "); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
for (z1=1; z1<=cptcoveff; z1++) fprintf(ficlog, "V%d=%d ",Tvaraff[z1],nbcode[Tvaraff[z1]][codtabm(j1,z1)]); |
fprintf(ficlog, "**********\n#"); |
fprintf(ficlog, "**********\n"); |
} |
} |
for(i=1; i<=nlstate;i++) |
fprintf(ficresphtm,"<table style=\"text-align:center; border: 1px solid\">"); |
|
for(i=1; i<=nlstate;i++) { |
fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i); |
fprintf(ficresp, " Age Prev(%d) N(%d) N",i,i); |
|
fprintf(ficresphtm, "<th>Age</th><th>Prev(%d)</th><th>N(%d)</th><th>N</th>",i,i); |
|
} |
fprintf(ficresp, "\n"); |
fprintf(ficresp, "\n"); |
|
fprintf(ficresphtm, "\n"); |
|
|
|
/* Header of frequency table by age */ |
|
fprintf(ficresphtmfr,"<table style=\"text-align:center; border: 1px solid\">"); |
|
fprintf(ficresphtmfr,"<th>Age</th> "); |
|
for(jk=-1; jk <=nlstate+ndeath; jk++){ |
|
for(m=-1; m <=nlstate+ndeath; m++){ |
|
if(jk!=0 && m!=0) |
|
fprintf(ficresphtmfr,"<th>%d%d</th> ",jk,m); |
|
} |
|
} |
|
fprintf(ficresphtmfr, "\n"); |
|
|
|
/* For each age */ |
for(i=iagemin; i <= iagemax+3; i++){ |
for(i=iagemin; i <= iagemax+3; i++){ |
if(i==iagemax+3){ |
fprintf(ficresphtm,"<tr>"); |
|
if(i==iagemax+1){ |
|
fprintf(ficlog,"1"); |
|
fprintf(ficresphtmfr,"<tr><th>0</th> "); |
|
}else if(i==iagemax+2){ |
|
fprintf(ficlog,"0"); |
|
fprintf(ficresphtmfr,"<tr><th>Unknown</th> "); |
|
}else if(i==iagemax+3){ |
fprintf(ficlog,"Total"); |
fprintf(ficlog,"Total"); |
|
fprintf(ficresphtmfr,"<tr><th>Total</th> "); |
}else{ |
}else{ |
if(first==1){ |
if(first==1){ |
first=0; |
first=0; |
printf("See log file for details...\n"); |
printf("See log file for details...\n"); |
} |
} |
|
fprintf(ficresphtmfr,"<tr><th>%d</th> ",i); |
fprintf(ficlog,"Age %d", i); |
fprintf(ficlog,"Age %d", i); |
} |
} |
for(jk=1; jk <=nlstate ; jk++){ |
for(jk=1; jk <=nlstate ; jk++){ |
Line 3322 void freqsummary(char fileres[], int ia
|
Line 3450 void freqsummary(char fileres[], int ia
|
if( i <= iagemax){ |
if( i <= iagemax){ |
if(pos>=1.e-5){ |
if(pos>=1.e-5){ |
fprintf(ficresp," %d %.5f %.0f %.0f",i,prop[jk][i]/posprop, prop[jk][i],posprop); |
fprintf(ficresp," %d %.5f %.0f %.0f",i,prop[jk][i]/posprop, prop[jk][i],posprop); |
|
fprintf(ficresphtm,"<th>%d</th><td>%.5f</td><td>%.0f</td><td>%.0f</td>",i,prop[jk][i]/posprop, prop[jk][i],posprop); |
/*probs[i][jk][j1]= 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]);*/ |
/*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 |
else{ |
fprintf(ficresp," %d NaNq %.0f %.0f",i,prop[jk][i],posprop); |
fprintf(ficresp," %d NaNq %.0f %.0f",i,prop[jk][i],posprop); |
|
fprintf(ficresphtm,"<th>%d</th><td>NaNq</td><td>%.0f</td><td>%.0f</td>",i, prop[jk][i],posprop); |
|
} |
} |
} |
} |
} |
|
|
for(jk=-1; jk <=nlstate+ndeath; jk++) |
for(jk=-1; jk <=nlstate+ndeath; jk++){ |
for(m=-1; m <=nlstate+ndeath; m++) |
for(m=-1; m <=nlstate+ndeath; m++){ |
if(freq[jk][m][i] !=0 ) { |
if(freq[jk][m][i] !=0 ) { /* minimizing output */ |
if(first==1) |
if(first==1){ |
printf(" %d%d=%.0f",jk,m,freq[jk][m][i]); |
printf(" %d%d=%.0f",jk,m,freq[jk][m][i]); |
|
} |
fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]); |
fprintf(ficlog," %d%d=%.0f",jk,m,freq[jk][m][i]); |
} |
} |
if(i <= iagemax) |
if(jk!=0 && m!=0) |
|
fprintf(ficresphtmfr,"<td>%.0f</td> ",freq[jk][m][i]); |
|
} |
|
} |
|
fprintf(ficresphtmfr,"</tr>\n "); |
|
if(i <= iagemax){ |
fprintf(ficresp,"\n"); |
fprintf(ficresp,"\n"); |
|
fprintf(ficresphtm,"</tr>\n"); |
|
} |
if(first==1) |
if(first==1) |
printf("Others in log...\n"); |
printf("Others in log...\n"); |
fprintf(ficlog,"\n"); |
fprintf(ficlog,"\n"); |
} /* end loop i */ |
} /* end loop i */ |
|
fprintf(ficresphtm,"</table>\n"); |
|
fprintf(ficresphtmfr,"</table>\n"); |
/*}*/ |
/*}*/ |
} /* end j1 */ |
} /* end j1 */ |
dateintmean=dateintsum/k2cpt; |
dateintmean=dateintsum/k2cpt; |
|
|
fclose(ficresp); |
fclose(ficresp); |
|
fclose(ficresphtm); |
|
fclose(ficresphtmfr); |
free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin, iagemax+3); |
free_ma3x(freq,-5,nlstate+ndeath,-5,nlstate+ndeath, iagemin, iagemax+3); |
free_vector(pp,1,nlstate); |
free_vector(pp,1,nlstate); |
free_matrix(prop,1,nlstate,iagemin, iagemax+3); |
free_matrix(prop,1,nlstate,iagemin, iagemax+3); |
Line 3363 void prevalence(double ***probs, double
|
Line 3506 void prevalence(double ***probs, double
|
*/ |
*/ |
|
|
int i, m, jk, j1, bool, z1,j; |
int i, m, jk, j1, bool, z1,j; |
|
int mi; /* Effective wave */ |
|
int iage; |
|
double agebegin, ageend; |
|
|
double **prop; |
double **prop; |
double posprop; |
double posprop; |
Line 3382 void prevalence(double ***probs, double
|
Line 3528 void prevalence(double ***probs, double
|
|
|
first=1; |
first=1; |
for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ |
for(j1=1; j1<= (int) pow(2,cptcoveff);j1++){ |
/*for(i1=1; i1<=ncodemax[k1];i1++){ |
for (i=1; i<=nlstate; i++) |
j1++;*/ |
for(iage=iagemin; iage <= iagemax+3; iage++) |
|
prop[i][iage]=0.0; |
for (i=1; i<=nlstate; i++) |
|
for(m=iagemin; m <= iagemax+3; m++) |
for (i=1; i<=imx; i++) { /* Each individual */ |
prop[i][m]=0.0; |
bool=1; |
|
if (cptcovn>0) { /* Filter is here: Must be looked at for model=V1+V2+V3+V4 */ |
for (i=1; i<=imx; i++) { /* Each individual */ |
for (z1=1; z1<=cptcoveff; z1++) |
bool=1; |
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) |
if (cptcovn>0) { |
bool=0; |
for (z1=1; z1<=cptcoveff; z1++) |
} |
if (covar[Tvaraff[z1]][i]!= nbcode[Tvaraff[z1]][codtabm(j1,z1)]) |
if (bool==1) { |
bool=0; |
/* for(m=firstpass; m<=lastpass; m++){/\* Other selection (we can limit to certain interviews*\/ */ |
} |
for(mi=1; mi<wav[i];mi++){ |
if (bool==1) { |
m=mw[mi][i]; |
for(m=firstpass; m<=lastpass; m++){/* Other selection (we can limit to certain interviews*/ |
agebegin=agev[m][i]; /* Age at beginning of wave before transition*/ |
|
/* ageend=agev[m][i]+(dh[m][i])*stepm/YEARM; /\* Age at end of wave and transition *\/ */ |
|
if(m >=firstpass && m <=lastpass){ |
y2=anint[m][i]+(mint[m][i]/12.); /* Fractional date in year */ |
y2=anint[m][i]+(mint[m][i]/12.); /* Fractional date in year */ |
if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */ |
if ((y2>=dateprev1) && (y2<=dateprev2)) { /* Here is the main selection (fractional years) */ |
if(agev[m][i]==0) agev[m][i]=iagemax+1; |
if(agev[m][i]==0) agev[m][i]=iagemax+1; |
if(agev[m][i]==1) agev[m][i]=iagemax+2; |
if(agev[m][i]==1) agev[m][i]=iagemax+2; |
if((int)agev[m][i] <iagemin || (int)agev[m][i] >iagemax+3) printf("Error on individual =%d agev[m][i]=%f m=%d\n",i, agev[m][i],m); |
if((int)agev[m][i] <iagemin || (int)agev[m][i] >iagemax+3) printf("Error on individual =%d agev[m][i]=%f m=%d\n",i, agev[m][i],m); |
if (s[m][i]>0 && s[m][i]<=nlstate) { |
if (s[m][i]>0 && s[m][i]<=nlstate) { |
/*if(i>4620) printf(" i=%d m=%d s[m][i]=%d (int)agev[m][i]=%d weight[i]=%f prop=%f\n",i,m,s[m][i],(int)agev[m][m],weight[i],prop[s[m][i]][(int)agev[m][i]]);*/ |
/*if(i>4620) printf(" i=%d m=%d s[m][i]=%d (int)agev[m][i]=%d weight[i]=%f prop=%f\n",i,m,s[m][i],(int)agev[m][m],weight[i],prop[s[m][i]][(int)agev[m][i]]);*/ |
prop[s[m][i]][(int)agev[m][i]] += weight[i]; |
prop[s[m][i]][(int)agev[m][i]] += weight[i];/* At age of beginning of transition, where status is known */ |
prop[s[m][i]][iagemax+3] += weight[i]; |
prop[s[m][i]][iagemax+3] += weight[i]; |
} |
} /* end valid statuses */ |
} |
} /* end selection of dates */ |
} /* end selection of waves */ |
} /* end selection of waves */ |
} |
} /* end effective waves */ |
} |
} /* end bool */ |
for(i=iagemin; i <= iagemax+3; i++){ |
} |
for(jk=1,posprop=0; jk <=nlstate ; jk++) { |
for(i=iagemin; i <= iagemax+3; i++){ |
posprop += prop[jk][i]; |
for(jk=1,posprop=0; jk <=nlstate ; jk++) { |
} |
posprop += prop[jk][i]; |
|
} |
for(jk=1; jk <=nlstate ; jk++){ |
|
if( i <= iagemax){ |
for(jk=1; jk <=nlstate ; jk++){ |
if(posprop>=1.e-5){ |
if( i <= iagemax){ |
probs[i][jk][j1]= prop[jk][i]/posprop; |
if(posprop>=1.e-5){ |
} else{ |
probs[i][jk][j1]= prop[jk][i]/posprop; |
if(first==1){ |
} else{ |
first=0; |
if(first==1){ |
printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\nSee others on log file...\n",jk,i,j1,probs[i][jk][j1]); |
first=0; |
} |
printf("Warning Observed prevalence probs[%d][%d][%d]=%lf because of lack of cases\nSee others on log file...\n",jk,i,j1,probs[i][jk][j1]); |
} |
} |
} |
} |
}/* end jk */ |
} |
}/* end i */ |
}/* end jk */ |
|
}/* end i */ |
/*} *//* end i1 */ |
/*} *//* end i1 */ |
} /* end j1 */ |
} /* end j1 */ |
|
|
Line 3452 void concatwav(int wav[], int **dh, int
|
Line 3601 void concatwav(int wav[], int **dh, int
|
int i, mi, m; |
int i, mi, m; |
/* int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1; |
/* int j, k=0,jk, ju, jl,jmin=1e+5, jmax=-1; |
double sum=0., jmean=0.;*/ |
double sum=0., jmean=0.;*/ |
int first; |
int first, firstwo; |
int j, k=0,jk, ju, jl; |
int j, k=0,jk, ju, jl; |
double sum=0.; |
double sum=0.; |
first=0; |
first=0; |
|
firstwo=0; |
jmin=100000; |
jmin=100000; |
jmax=-1; |
jmax=-1; |
jmean=0.; |
jmean=0.; |
for(i=1; i<=imx; i++){ |
for(i=1; i<=imx; i++){ /* For simple cases and if state is death */ |
mi=0; |
mi=0; |
m=firstpass; |
m=firstpass; |
while(s[m][i] <= nlstate){ |
while(s[m][i] <= nlstate){ /* a live state */ |
if(s[m][i]>=1 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5) |
if(s[m][i]>=1 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5) |
mw[++mi][i]=m; |
mw[++mi][i]=m; |
if(m >=lastpass) |
if(m >=lastpass) |
Line 3470 void concatwav(int wav[], int **dh, int
|
Line 3620 void concatwav(int wav[], int **dh, int
|
else |
else |
m++; |
m++; |
}/* end while */ |
}/* end while */ |
if (s[m][i] > nlstate){ |
if (s[m][i] > nlstate){ /* In a death state */ |
mi++; /* Death is another wave */ |
mi++; /* Death is another wave */ |
/* if(mi==0) never been interviewed correctly before death */ |
/* if(mi==0) never been interviewed correctly before death */ |
/* Only death is a correct wave */ |
/* Only death is a correct wave */ |
mw[mi][i]=m; |
mw[mi][i]=m; |
|
}else if (andc[i] != 9999) { /* A death occured after lastpass */ |
|
m++; |
|
mi++; |
|
s[m][i]=nlstate+1; /* We are setting the status to the last of non live state */ |
|
mw[mi][i]=m; |
|
nbwarn++; |
|
if(firstwo==0){ |
|
printf("Warning! Death for individual %ld line=%d occurred after last wave %d. Since 0.98r4 we considered a status %d at wave %d\nOthers in log file only\n",num[i],i,lastpass,nlstate+1, m); |
|
fprintf(ficlog,"Warning! Death for individual %ld line=%d occurred after last wave %d. Since 0.98r4 we considered a status %d at wave %d\n",num[i],i,lastpass,nlstate+1, m); |
|
firstwo=1; |
|
} |
|
if(firstwo==1){ |
|
fprintf(ficlog,"Warning! Death for individual %ld line=%d occurred after last wave %d. Since 0.98r4 we considered a status %d at wave %d\n",num[i],i,lastpass,nlstate+1, m); |
|
} |
} |
} |
|
|
wav[i]=mi; |
wav[i]=mi; |
if(mi==0){ |
if(mi==0){ |
nbwarn++; |
nbwarn++; |
Line 3489 void concatwav(int wav[], int **dh, int
|
Line 3652 void concatwav(int wav[], int **dh, int
|
} |
} |
} /* end mi==0 */ |
} /* end mi==0 */ |
} /* End individuals */ |
} /* End individuals */ |
|
/* wav and mw are no more changed */ |
|
|
|
|
for(i=1; i<=imx; i++){ |
for(i=1; i<=imx; i++){ |
for(mi=1; mi<wav[i];mi++){ |
for(mi=1; mi<wav[i];mi++){ |
if (stepm <=0) |
if (stepm <=0) |
Line 4804 To be simple, these graphs help to under
|
Line 4969 To be simple, these graphs help to under
|
void printinghtml(char fileresu[], char title[], char datafile[], int firstpass, \ |
void printinghtml(char fileresu[], char title[], char datafile[], int firstpass, \ |
int lastpass, int stepm, int weightopt, char model[],\ |
int lastpass, int stepm, int weightopt, char model[],\ |
int imx,int jmin, int jmax, double jmeanint,char rfileres[],\ |
int imx,int jmin, int jmax, double jmeanint,char rfileres[],\ |
int popforecast, int estepm ,\ |
int popforecast, int prevfcast, int estepm , \ |
double jprev1, double mprev1,double anprev1, \ |
double jprev1, double mprev1,double anprev1, double dateprev1, \ |
double jprev2, double mprev2,double anprev2){ |
double jprev2, double mprev2,double anprev2, double dateprev2){ |
int jj1, k1, i1, cpt; |
int jj1, k1, i1, cpt; |
|
|
fprintf(fichtm,"<ul><li><a href='#firstorder'>Result files (first order: no variance)</a>\n \ |
fprintf(fichtm,"<ul><li><a href='#firstorder'>Result files (first order: no variance)</a>\n \ |
<li><a href='#secondorder'>Result files (second order (variance)</a>\n \ |
<li><a href='#secondorder'>Result files (second order (variance)</a>\n \ |
</ul>"); |
</ul>"); |
fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n \ |
fprintf(fichtm,"<ul><li><h4><a name='firstorder'>Result files (first order: no variance)</a></h4>\n"); |
- Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> <br>\n ", |
fprintf(fichtm,"<li>- Observed frequency between two states (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> (html file)<br/>\n", |
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirf2(fileresu,"P_"),subdirf2(fileresu,"P_")); |
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTMFR_",".htm"),subdirfext3(optionfilefiname,"PHTMFR_",".htm")); |
|
fprintf(fichtm,"<li> - Observed prevalence in each state (during the period defined between %.lf/%.lf/%.lf and %.lf/%.lf/%.lf): <a href=\"%s\">%s</a> (html file) ", |
|
jprev1, mprev1,anprev1,jprev2, mprev2,anprev2,subdirfext3(optionfilefiname,"PHTM_",".htm"),subdirfext3(optionfilefiname,"PHTM_",".htm")); |
|
fprintf(fichtm,", <a href=\"%s\">%s</a> (text file) <br>\n",subdirf2(fileresu,"P_"),subdirf2(fileresu,"P_")); |
fprintf(fichtm,"\ |
fprintf(fichtm,"\ |
- Estimated transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ", |
- Estimated transition probabilities over %d (stepm) months: <a href=\"%s\">%s</a><br>\n ", |
stepm,subdirf2(fileresu,"PIJ_"),subdirf2(fileresu,"PIJ_")); |
stepm,subdirf2(fileresu,"PIJ_"),subdirf2(fileresu,"PIJ_")); |
Line 4822 void printinghtml(char fileresu[], char
|
Line 4990 void printinghtml(char fileresu[], char
|
- Period (stable) prevalence in each health state: <a href=\"%s\">%s</a> <br>\n", |
- Period (stable) prevalence in each health state: <a href=\"%s\">%s</a> <br>\n", |
subdirf2(fileresu,"PL_"),subdirf2(fileresu,"PL_")); |
subdirf2(fileresu,"PL_"),subdirf2(fileresu,"PL_")); |
fprintf(fichtm,"\ |
fprintf(fichtm,"\ |
- (a) Life expectancies by health status at initial age, ei. (b) health expectancies by health status at initial age, eij . If one or more covariates are included, specific tables for each value of the covariate are output in sequences within the same file (estepm=%2d months): \ |
- (a) Life expectancies by health status at initial age, e<sub>i.</sub> (b) health expectancies by health status at initial age, e<sub>ij</sub> . If one or more covariates are included, specific tables for each value of the covariate are output in sequences within the same file (estepm=%2d months): \ |
<a href=\"%s\">%s</a> <br>\n", |
<a href=\"%s\">%s</a> <br>\n", |
estepm,subdirf2(fileresu,"E_"),subdirf2(fileresu,"E_")); |
estepm,subdirf2(fileresu,"E_"),subdirf2(fileresu,"E_")); |
fprintf(fichtm,"\ |
if(prevfcast==1){ |
- Population projections by age and states: \ |
fprintf(fichtm,"\ |
|
- Prevalence projections by age and states: \ |
<a href=\"%s\">%s</a> <br>\n</li>", subdirf2(fileresu,"F_"),subdirf2(fileresu,"F_")); |
<a href=\"%s\">%s</a> <br>\n</li>", subdirf2(fileresu,"F_"),subdirf2(fileresu,"F_")); |
|
} |
|
|
fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>"); |
fprintf(fichtm," \n<ul><li><b>Graphs</b></li><p>"); |
|
|
Line 4847 fprintf(fichtm," \n<ul><li><b>Graphs</b>
|
Line 5017 fprintf(fichtm," \n<ul><li><b>Graphs</b>
|
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
fprintf(fichtm," ************\n<hr size=\"2\" color=\"#EC5E5E\">"); |
} |
} |
/* aij, bij */ |
/* aij, bij */ |
fprintf(fichtm,"<br>- Logit model, for example: logit(pij)=log(pij/pii)= aij+ bij age + V1 age + etc. as a function of age: <a href=\"%s_%d-1.svg\">%s_%d-1.svg</a><br> \ |
fprintf(fichtm,"<br>- Logit model (yours is: 1+age+%s), for example: logit(pij)=log(pij/pii)= aij+ bij age + V1 age + etc. as a function of age: <a href=\"%s_%d-1.svg\">%s_%d-1.svg</a><br> \ |
<img src=\"%s_%d-1.svg\">",subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); |
<img src=\"%s_%d-1.svg\">",model,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); |
/* Pij */ |
/* Pij */ |
fprintf(fichtm,"<br>\n- Pij or conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s_%d-2.svg\">%s_%d-2.svg</a><br> \ |
fprintf(fichtm,"<br>\n- P<sub>ij</sub> or conditional probabilities to be observed in state j being in state i, %d (stepm) months before: <a href=\"%s_%d-2.svg\">%s_%d-2.svg</a><br> \ |
<img src=\"%s_%d-2.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); |
<img src=\"%s_%d-2.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); |
/* Quasi-incidences */ |
/* Quasi-incidences */ |
fprintf(fichtm,"<br>\n- Iij or Conditional probabilities to be observed in state j being in state i %d (stepm) months\ |
fprintf(fichtm,"<br>\n- I<sub>ij</sub> or Conditional probabilities to be observed in state j being in state i %d (stepm) months\ |
before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too,\ |
before but expressed in per year i.e. quasi incidences if stepm is small and probabilities too,\ |
incidence (rates) are the limit when h tends to zero of the ratio of the probability hPij \ |
incidence (rates) are the limit when h tends to zero of the ratio of the probability <sub>h</sub>P<sub>ij</sub> \ |
divided by h: hPij/h : <a href=\"%s_%d-3.svg\">%s_%d-3.svg</a><br> \ |
divided by h: <sub>h</sub>P<sub>ij</sub>/h : <a href=\"%s_%d-3.svg\">%s_%d-3.svg</a><br> \ |
<img src=\"%s_%d-3.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); |
<img src=\"%s_%d-3.svg\">",stepm,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1,subdirf2(optionfilefiname,"PE_"),jj1); |
/* Survival functions (period) in state j */ |
/* Survival functions (period) in state j */ |
for(cpt=1; cpt<=nlstate;cpt++){ |
for(cpt=1; cpt<=nlstate;cpt++){ |
Line 4874 divided by h: hPij/h : <a href=\"%s_%d-3
|
Line 5044 divided by h: hPij/h : <a href=\"%s_%d-3
|
fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \ |
fprintf(fichtm,"<br>\n- Convergence to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \ |
<img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1); |
<img src=\"%s_%d-%d.svg\">", cpt, cpt, nlstate, subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1,subdirf2(optionfilefiname,"P_"),cpt,jj1); |
} |
} |
|
if(prevfcast==1){ |
|
/* Projection of prevalence up to period (stable) prevalence in each health state */ |
|
for(cpt=1; cpt<=nlstate;cpt++){ |
|
fprintf(fichtm,"<br>\n- Projection of cross-sectional prevalence (estimated with cases observed from %.1f to %.1f) up to period (stable) prevalence in state %d. Or probability to be in state %d being in state (1 to %d) at different ages. <a href=\"%s%d_%d.svg\">%s%d_%d.svg</a><br> \ |
|
<img src=\"%s_%d-%d.svg\">", dateprev1, dateprev2, cpt, cpt, nlstate, subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1,subdirf2(optionfilefiname,"PROJ_"),cpt,jj1); |
|
} |
|
} |
|
|
for(cpt=1; cpt<=nlstate;cpt++) { |
for(cpt=1; cpt<=nlstate;cpt++) { |
fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) (or area under each survival functions): <a href=\"%s_%d%d.svg\">%s_%d%d.svg</a> <br> \ |
fprintf(fichtm,"\n<br>- Life expectancy by health state (%d) at initial age and its decomposition into health expectancies in each alive state (1 to %d) (or area under each survival functions): <a href=\"%s_%d%d.svg\">%s_%d%d.svg</a> <br> \ |
<img src=\"%s_%d%d.svg\">",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1); |
<img src=\"%s_%d%d.svg\">",cpt,nlstate,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1,subdirf2(optionfilefiname,"EXP_"),cpt,jj1); |
Line 4961 true period expectancies (those weighted
|
Line 5139 true period expectancies (those weighted
|
} |
} |
|
|
/******************* Gnuplot file **************/ |
/******************* Gnuplot file **************/ |
void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , char pathc[], double p[]){ |
void printinggnuplot(char fileresu[], char optionfilefiname[], double ageminpar, double agemaxpar, double fage , int prevfcast, char pathc[], double p[]){ |
|
|
char dirfileres[132],optfileres[132]; |
char dirfileres[132],optfileres[132]; |
int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0; |
int cpt=0,k1=0,i=0,k=0,j=0,jk=0,k2=0,k3=0,ij=0,l=0; |
|
int lv=0, vlv=0, kl=0; |
int ng=0; |
int ng=0; |
int vpopbased; |
int vpopbased; |
/* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */ |
/* if((ficgp=fopen(optionfilegnuplot,"a"))==NULL) { */ |
Line 4977 void printinggnuplot(char fileresu[], ch
|
Line 5156 void printinggnuplot(char fileresu[], ch
|
/*#endif */ |
/*#endif */ |
m=pow(2,cptcoveff); |
m=pow(2,cptcoveff); |
|
|
/* Projected Prevalences */ |
|
/* plot "NAGI0w_V1V2_monthlyb2b-proj/F_NAGI0w_V1V2_monthlyb2b-proj.txt" u 6:((($1 == 1) && ($2==0) && ($3==2) &&($4==0))? $7/(1-$13):1/0) t 'p11' w line */ |
|
/* replot "" u 6:((($1 == 1) && ($2==0) && ($3==2) &&($4==0))? $8/(1-$14):1/0) t 'p21' w line */ |
|
/* replot "" u 6:((($1 == 1) && ($2==0) && ($3==2) &&($4==0)&&($9!=0))? $9/(1-$15):1/0) t 'p.1' w line */ |
|
|
|
/* Contribution to likelihood */ |
/* Contribution to likelihood */ |
/* Plot the probability implied in the likelihood */ |
/* Plot the probability implied in the likelihood */ |
fprintf(ficgp,"\n# Contributions to the Likelihood, mle >=1. For mle=4 no interpolation, pure matrix products.\n#\n"); |
fprintf(ficgp,"\n# Contributions to the Likelihood, mle >=1. For mle=4 no interpolation, pure matrix products.\n#\n"); |
Line 4993 void printinggnuplot(char fileresu[], ch
|
Line 5167 void printinggnuplot(char fileresu[], ch
|
/* replot exp(p1+p2*x)/(1+exp(p1+p2*x)+exp(p3+p4*x)+exp(p5+p6*x)) t "p12(x)" */ |
/* replot exp(p1+p2*x)/(1+exp(p1+p2*x)+exp(p3+p4*x)+exp(p5+p6*x)) t "p12(x)" */ |
/* fprintf(ficgp,"\nset out \"%s.svg\";",subdirf2(optionfilefiname,"ILK_")); */ |
/* fprintf(ficgp,"\nset out \"%s.svg\";",subdirf2(optionfilefiname,"ILK_")); */ |
fprintf(ficgp,"\nset out \"%s-dest.png\";",subdirf2(optionfilefiname,"ILK_")); |
fprintf(ficgp,"\nset out \"%s-dest.png\";",subdirf2(optionfilefiname,"ILK_")); |
fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$12):5 t \"All sample, transitions colored by destination\" with dots lc variable; set out;\n",subdirf(fileresilk)); |
fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$13):6 t \"All sample, transitions colored by destination\" with dots lc variable; set out;\n",subdirf(fileresilk)); |
fprintf(ficgp,"\nset out \"%s-ori.png\";",subdirf2(optionfilefiname,"ILK_")); |
fprintf(ficgp,"\nset out \"%s-ori.png\";",subdirf2(optionfilefiname,"ILK_")); |
fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$12):4 t \"All sample, transitions colored by origin\" with dots lc variable; set out;\n\n",subdirf(fileresilk)); |
fprintf(ficgp,"\nset log y;plot \"%s\" u 2:(-$13):5 t \"All sample, transitions colored by origin\" with dots lc variable; set out;\n\n",subdirf(fileresilk)); |
for (i=1; i<= nlstate ; i ++) { |
for (i=1; i<= nlstate ; i ++) { |
fprintf(ficgp,"\nset out \"%s-p%dj.png\";set ylabel \"Probability for each individual/wave\";",subdirf2(optionfilefiname,"ILK_"),i); |
fprintf(ficgp,"\nset out \"%s-p%dj.png\";set ylabel \"Probability for each individual/wave\";",subdirf2(optionfilefiname,"ILK_"),i); |
fprintf(ficgp,"unset log;\n# plot weighted, mean weight should have point size of 0.5\n plot \"%s\"",subdirf(fileresilk)); |
fprintf(ficgp,"unset log;\n# plot weighted, mean weight should have point size of 0.5\n plot \"%s\"",subdirf(fileresilk)); |
fprintf(ficgp," u 2:($4 == %d && $5==%d ? $9 : 1/0):($11/4.):5 t \"p%d%d\" with points pointtype 7 ps variable lc variable \\\n",i,1,i,1); |
fprintf(ficgp," u 2:($5 == %d && $6==%d ? $10 : 1/0):($12/4.):6 t \"p%d%d\" with points pointtype 7 ps variable lc variable \\\n",i,1,i,1); |
for (j=2; j<= nlstate+ndeath ; j ++) { |
for (j=2; j<= nlstate+ndeath ; j ++) { |
fprintf(ficgp,",\\\n \"\" u 2:($4 == %d && $5==%d ? $9 : 1/0):($11/4.):5 t \"p%d%d\" with points pointtype 7 ps variable lc variable ",i,j,i,j); |
fprintf(ficgp,",\\\n \"\" u 2:($5 == %d && $6==%d ? $10 : 1/0):($12/4.):6 t \"p%d%d\" with points pointtype 7 ps variable lc variable ",i,j,i,j); |
} |
} |
fprintf(ficgp,";\nset out; unset ylabel;\n"); |
fprintf(ficgp,";\nset out; unset ylabel;\n"); |
} |
} |
Line 5014 void printinggnuplot(char fileresu[], ch
|
Line 5188 void printinggnuplot(char fileresu[], ch
|
strcpy(dirfileres,optionfilefiname); |
strcpy(dirfileres,optionfilefiname); |
strcpy(optfileres,"vpl"); |
strcpy(optfileres,"vpl"); |
/* 1eme*/ |
/* 1eme*/ |
fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'VPL_' files\n"); |
for (cpt=1; cpt<= nlstate ; cpt ++) { /* For each live state */ |
for (cpt=1; cpt<= nlstate ; cpt ++) { |
for (k1=1; k1<= m ; k1 ++) { /* For each combination of covariate */ |
for (k1=1; k1<= m ; k1 ++) { /* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ |
/* plot [100000000000000000000:-100000000000000000000] "mysbiaspar/vplrmysbiaspar.txt to check */ |
|
fprintf(ficgp,"\n# 1st: Period (stable) prevalence with CI: 'VPL_' files "); |
|
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
|
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
|
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
|
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
|
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
vlv= nbcode[Tvaraff[lv]][lv]; |
|
fprintf(ficgp," V%d=%d ",k,vlv); |
|
} |
|
fprintf(ficgp,"\n#\n"); |
|
|
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"V_"),cpt,k1); |
fprintf(ficgp,"\n#set out \"V_%s_%d-%d.svg\" \n",optionfilefiname,cpt,k1); |
fprintf(ficgp,"\n#set out \"V_%s_%d-%d.svg\" \n",optionfilefiname,cpt,k1); |
fprintf(ficgp,"set xlabel \"Age\" \n\ |
fprintf(ficgp,"set xlabel \"Age\" \n\ |
Line 5043 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 5228 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
} /* k1 */ |
} /* k1 */ |
} /* cpt */ |
} /* cpt */ |
/*2 eme*/ |
/*2 eme*/ |
fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files\n"); |
|
for (k1=1; k1<= m ; k1 ++) { |
for (k1=1; k1<= m ; k1 ++) { |
|
fprintf(ficgp,"\n# 2nd: Total life expectancy with CI: 't' files "); |
|
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
|
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
|
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
|
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
|
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
vlv= nbcode[Tvaraff[lv]][lv]; |
|
fprintf(ficgp," V%d=%d ",k,vlv); |
|
} |
|
fprintf(ficgp,"\n#\n"); |
|
|
fprintf(ficgp,"\nset out \"%s_%d.svg\" \n",subdirf2(optionfilefiname,"E_"),k1); |
fprintf(ficgp,"\nset out \"%s_%d.svg\" \n",subdirf2(optionfilefiname,"E_"),k1); |
for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/ |
for(vpopbased=0; vpopbased <= popbased; vpopbased++){ /* Done for vpopbased=0 and vpopbased=1 if popbased==1*/ |
if(vpopbased==0) |
if(vpopbased==0) |
Line 5077 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 5272 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
} /* vpopbased */ |
} /* vpopbased */ |
fprintf(ficgp,"\nset out;set out \"%s_%d.svg\"; replot; set out; \n",subdirf2(optionfilefiname,"E_"),k1); /* Buggy gnuplot */ |
fprintf(ficgp,"\nset out;set out \"%s_%d.svg\"; replot; set out; \n",subdirf2(optionfilefiname,"E_"),k1); /* Buggy gnuplot */ |
} /* k1 */ |
} /* k1 */ |
|
|
|
|
/*3eme*/ |
/*3eme*/ |
|
|
for (k1=1; k1<= m ; k1 ++) { |
for (k1=1; k1<= m ; k1 ++) { |
for (cpt=1; cpt<= nlstate ; cpt ++) { |
for (cpt=1; cpt<= nlstate ; cpt ++) { |
|
fprintf(ficgp,"\n# 3d: Life expectancy with EXP_ files: cov=%d state=%d",k1, cpt); |
|
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
|
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
|
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
|
/* 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[lv]][lv]; |
|
fprintf(ficgp," V%d=%d ",k,vlv); |
|
} |
|
fprintf(ficgp,"\n#\n"); |
|
|
/* k=2+nlstate*(2*cpt-2); */ |
/* k=2+nlstate*(2*cpt-2); */ |
k=2+(nlstate+1)*(cpt-1); |
k=2+(nlstate+1)*(cpt-1); |
fprintf(ficgp,"\nset out \"%s_%d%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d%d.svg\" \n",subdirf2(optionfilefiname,"EXP_"),cpt,k1); |
Line 5106 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
Line 5313 plot [%.f:%.f] \"%s\" every :::%d::%d u
|
/* Survival functions (period) from state i in state j by initial state i */ |
/* Survival functions (period) from state i in state j by initial state i */ |
for (k1=1; k1<= m ; k1 ++) { /* For each multivariate if any */ |
for (k1=1; k1<= m ; k1 ++) { /* For each multivariate if any */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
k=3; |
fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'LIJ_' files, cov=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n# Survival functions in state j : 'lij' files, cov=%d state=%d",k1, cpt); |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
|
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
|
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
|
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
|
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
vlv= nbcode[Tvaraff[lv]][lv]; |
|
fprintf(ficgp," V%d=%d ",k,vlv); |
|
} |
|
fprintf(ficgp,"\n#\n"); |
|
|
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJ_"),cpt,k1); |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ |
set ter svg size 640, 480\n\ |
set ter svg size 640, 480\n\ |
unset log y\n\ |
unset log y\n\ |
plot [%.f:%.f] ", ageminpar, agemaxpar); |
plot [%.f:%.f] ", ageminpar, agemaxpar); |
|
k=3; |
for (i=1; i<= nlstate ; i ++){ |
for (i=1; i<= nlstate ; i ++){ |
if(i==1) |
if(i==1) |
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
Line 5131 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 5348 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
/* Survival functions (period) from state i in state j by final state j */ |
/* Survival functions (period) from state i in state j by final state j */ |
for (k1=1; k1<= m ; k1 ++) { /* For each covariate if any */ |
for (k1=1; k1<= m ; k1 ++) { /* For each covariate if any */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each inital state */ |
k=3; |
|
fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n# Survival functions in state j and all livestates from state i by final state j: 'lij' files, cov=%d state=%d",k1, cpt); |
|
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
|
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
|
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
|
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
|
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
vlv= nbcode[Tvaraff[lv]][lv]; |
|
fprintf(ficgp," V%d=%d ",k,vlv); |
|
} |
|
fprintf(ficgp,"\n#\n"); |
|
|
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"LIJT_"),cpt,k1); |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability to be alive\" \n\ |
set ter svg size 640, 480\n\ |
set ter svg size 640, 480\n\ |
unset log y\n\ |
unset log y\n\ |
plot [%.f:%.f] ", ageminpar, agemaxpar); |
plot [%.f:%.f] ", ageminpar, agemaxpar); |
|
k=3; |
for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ |
for (j=1; j<= nlstate ; j ++){ /* Lived in state j */ |
if(j==1) |
if(j==1) |
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
Line 5163 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 5390 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
} /* end covariate */ |
} /* end covariate */ |
|
|
/* CV preval stable (period) for each covariate */ |
/* CV preval stable (period) for each covariate */ |
for (k1=1; k1<= m ; k1 ++) { /* For each covariate if any */ |
for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
k=3; |
fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, covariatecombination#=%d state=%d",k1, cpt); |
fprintf(ficgp,"\n#\n#\n#CV preval stable (period): 'pij' files, cov=%d state=%d",k1, cpt); |
for (k=1; k<=cptcoveff; k++){ /* For each covariate and each value */ |
|
lv= decodtabm(k1,k,cptcoveff); /* Should be the covariate number corresponding to k1 combination */ |
|
/* decodtabm(1,1,4) = 1 because h=1 k= (1) 1 1 1 */ |
|
/* decodtabm(1,2,4) = 1 because h=1 k= 1 (1) 1 1 */ |
|
/* decodtabm(13,3,4)= 2 because h=13 k= 1 1 (2) 2 */ |
|
vlv= nbcode[Tvaraff[lv]][lv]; |
|
fprintf(ficgp," V%d=%d ",k,vlv); |
|
} |
|
fprintf(ficgp,"\n#\n"); |
|
|
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),cpt,k1); |
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"P_"),cpt,k1); |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ |
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Probability\" \n\ |
set ter svg size 640, 480\n\ |
set ter svg size 640, 480\n\ |
unset log y\n\ |
unset log y\n\ |
plot [%.f:%.f] ", ageminpar, agemaxpar); |
plot [%.f:%.f] ", ageminpar, agemaxpar); |
|
k=3; /* Offset */ |
for (i=1; i<= nlstate ; i ++){ |
for (i=1; i<= nlstate ; i ++){ |
if(i==1) |
if(i==1) |
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"PIJ_")); |
Line 5187 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
Line 5424 plot [%.f:%.f] ", ageminpar, agemaxpar)
|
} /* end cpt state*/ |
} /* end cpt state*/ |
} /* end covariate */ |
} /* end covariate */ |
|
|
|
if(prevfcast==1){ |
|
/* Projection from cross-sectional to stable (period) for each covariate */ |
|
|
|
for (k1=1; k1<= m ; k1 ++) { /* For each covariate combination (1 to m=2**k), if any covariate is present */ |
|
for (cpt=1; cpt<=nlstate ; cpt ++) { /* For each life state */ |
|
fprintf(ficgp,"\n#\n#\n#Projection of prevalence to stable (period): 'PROJ_' files, covariatecombination#=%d state=%d",k1, cpt); |
|
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[lv]][lv]; |
|
fprintf(ficgp," V%d=%d ",k,vlv); |
|
} |
|
fprintf(ficgp,"\n#\n"); |
|
|
|
fprintf(ficgp,"# hpijx=probability over h years, hp.jx is weighted by observed prev\n "); |
|
fprintf(ficgp,"\nset out \"%s_%d-%d.svg\" \n",subdirf2(optionfilefiname,"PROJ_"),cpt,k1); |
|
fprintf(ficgp,"set xlabel \"Age\" \nset ylabel \"Prevalence\" \n\ |
|
set ter svg size 640, 480\n\ |
|
unset log y\n\ |
|
plot [%.f:%.f] ", ageminpar, agemaxpar); |
|
for (i=1; 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){ |
|
fprintf(ficgp,"\"%s\"",subdirf2(fileresu,"F_")); |
|
}else{ |
|
fprintf(ficgp,",\\\n '' "); |
|
} |
|
if(cptcoveff ==0){ /* No covariate */ |
|
fprintf(ficgp," u 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 */ |
|
if(i==nlstate+1) |
|
fprintf(ficgp," $%d/(1.-$%d)) t 'p.%d' with line ", \ |
|
2+(cpt-1)*(nlstate+1)+1+(i-1), 2+1+(i-1)+(nlstate+1)*nlstate,cpt ); |
|
else |
|
fprintf(ficgp," $%d/(1.-$%d)) t 'p%d%d' with line ", \ |
|
2+(cpt-1)*(nlstate+1)+1+(i-1), 2+1+(i-1)+(nlstate+1)*nlstate,i,cpt ); |
|
}else{ |
|
fprintf(ficgp,"u 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 */ |
|
kl=0; |
|
for (k=1; k<=cptcoveff; k++){ /* For each 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[lv]][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):($5==2000? 3:2) t 'p.1' with line lc variable*/ |
|
if(k==cptcoveff) |
|
if(i==nlstate+1) |
|
fprintf(ficgp,"$%d==%d && $%d==%d)? $%d/(1.-$%d) : 1/0) t 'p.%d' with line ",kl, k,kl+1,nbcode[Tvaraff[lv]][lv], \ |
|
6+(cpt-1)*(nlstate+1)+1+(i-1), 6+1+(i-1)+(nlstate+1)*nlstate,cpt ); |
|
else |
|
fprintf(ficgp,"$%d==%d && $%d==%d)? $%d/(1.-$%d) : 1/0) t 'p%d%d' with line ",kl, k,kl+1,nbcode[Tvaraff[lv]][lv], \ |
|
6+(cpt-1)*(nlstate+1)+1+(i-1), 6+1+(i-1)+(nlstate+1)*nlstate,i,cpt ); |
|
else{ |
|
fprintf(ficgp,"$%d==%d && $%d==%d && ",kl, k,kl+1,nbcode[Tvaraff[lv]][lv]); |
|
kl++; |
|
} |
|
} /* end covariate */ |
|
} /* end if covariate */ |
|
} /* nlstate */ |
|
fprintf(ficgp,"\nset out\n"); |
|
} /* end cpt state*/ |
|
} /* end covariate */ |
|
} /* End if prevfcast */ |
|
|
|
|
/* proba elementaires */ |
/* proba elementaires */ |
fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n"); |
fprintf(ficgp,"\n##############\n#MLE estimated parameters\n#############\n"); |
for(i=1,jk=1; i <=nlstate; i++){ |
for(i=1,jk=1; i <=nlstate; i++){ |
Line 5378 void prevforecast(char fileres[], double
|
Line 5693 void prevforecast(char fileres[], double
|
char fileresf[FILENAMELENGTH]; |
char fileresf[FILENAMELENGTH]; |
|
|
agelim=AGESUP; |
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); |
prevalence(probs, ageminpar, agemax, s, agev, nlstate, imx, Tvar, nbcode, ncodemax, mint, anint, dateprev1, dateprev2, firstpass, lastpass); |
|
|
strcpy(fileresf,"F_"); |
strcpy(fileresf,"F_"); |
Line 5386 void prevforecast(char fileres[], double
|
Line 5707 void prevforecast(char fileres[], double
|
printf("Problem with forecast resultfile: %s\n", fileresf); |
printf("Problem with forecast resultfile: %s\n", fileresf); |
fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf); |
fprintf(ficlog,"Problem with forecast resultfile: %s\n", fileresf); |
} |
} |
printf("Computing forecasting: result on file '%s' \n", fileresf); |
printf("Computing forecasting: result on file '%s', please wait... \n", fileresf); |
fprintf(ficlog,"Computing forecasting: result on file '%s' \n", fileresf); |
fprintf(ficlog,"Computing forecasting: result on file '%s', please wait... \n", fileresf); |
|
|
if (cptcoveff==0) ncodemax[cptcoveff]=1; |
if (cptcoveff==0) ncodemax[cptcoveff]=1; |
|
|
Line 5428 void prevforecast(char fileres[], double
|
Line 5749 void prevforecast(char fileres[], double
|
for(cptcov=1, k=0;cptcov<=i1;cptcov++){ |
for(cptcov=1, k=0;cptcov<=i1;cptcov++){ |
for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){ |
for(cptcod=1;cptcod<=ncodemax[cptcoveff];cptcod++){ |
k=k+1; |
k=k+1; |
fprintf(ficresf,"\n#******"); |
fprintf(ficresf,"\n#****** hpijx=probability over h years, hp.jx is weighted by observed prev \n#"); |
for(j=1;j<=cptcoveff;j++) { |
for(j=1;j<=cptcoveff;j++) { |
fprintf(ficresf," V%d=%d, hpijx=probability over h years, hp.jx is weighted by observed prev ",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
fprintf(ficresf," V%d (=) %d",Tvaraff[j],nbcode[Tvaraff[j]][codtabm(k,j)]); |
} |
} |
fprintf(ficresf,"******\n"); |
fprintf(ficresf," yearproj age"); |
fprintf(ficresf,"# Covariate valuofcovar yearproj age"); |
|
for(j=1; j<=nlstate+ndeath;j++){ |
for(j=1; j<=nlstate+ndeath;j++){ |
for(i=1; i<=nlstate;i++) |
for(i=1; i<=nlstate;i++) |
fprintf(ficresf," p%d%d",i,j); |
fprintf(ficresf," p%d%d",i,j); |
Line 5483 void prevforecast(char fileres[], double
|
Line 5803 void prevforecast(char fileres[], double
|
if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
if (mobilav!=0) free_ma3x(mobaverage,1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
|
|
fclose(ficresf); |
fclose(ficresf); |
|
printf("End of Computing forecasting \n"); |
|
fprintf(ficlog,"End of Computing forecasting\n"); |
|
|
} |
} |
|
|
/************** Forecasting *****not tested NB*************/ |
/************** Forecasting *****not tested NB*************/ |
Line 6322 int calandcheckages(int imx, int maxwav,
|
Line 6645 int calandcheckages(int imx, int maxwav,
|
for (i=1; i<=imx; i++) { |
for (i=1; i<=imx; i++) { |
agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]); |
agedc[i]=(moisdc[i]/12.+andc[i])-(moisnais[i]/12.+annais[i]); |
for(m=firstpass; (m<= lastpass); m++){ |
for(m=firstpass; (m<= lastpass); m++){ |
if(s[m][i] >0 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5){ |
if(s[m][i] >0 || s[m][i]==-1 || s[m][i]==-2 || s[m][i]==-4 || s[m][i]==-5){ /* What if s[m][i]=-1 */ |
if (s[m][i] >= nlstate+1) { |
if (s[m][i] >= nlstate+1) { |
if(agedc[i]>0){ |
if(agedc[i]>0){ |
if((int)moisdc[i]!=99 && (int)andc[i]!=9999){ |
if((int)moisdc[i]!=99 && (int)andc[i]!=9999){ |
agev[m][i]=agedc[i]; |
agev[m][i]=agedc[i]; |
/*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/ |
/*if(moisdc[i]==99 && andc[i]==9999) s[m][i]=-1;*/ |
}else { |
}else { |
if ((int)andc[i]!=9999){ |
if ((int)andc[i]!=9999){ |
nbwarn++; |
nbwarn++; |
Line 6337 int calandcheckages(int imx, int maxwav,
|
Line 6660 int calandcheckages(int imx, int maxwav,
|
} |
} |
} |
} |
} /* agedc > 0 */ |
} /* agedc > 0 */ |
} |
} /* end if */ |
else if(s[m][i] !=9){ /* Standard case, age in fractional |
else if(s[m][i] !=9){ /* Standard case, age in fractional |
years but with the precision of a month */ |
years but with the precision of a month */ |
agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]); |
agev[m][i]=(mint[m][i]/12.+1./24.+anint[m][i])-(moisnais[i]/12.+1./24.+annais[i]); |
Line 6353 int calandcheckages(int imx, int maxwav,
|
Line 6676 int calandcheckages(int imx, int maxwav,
|
} |
} |
/*agev[m][i]=anint[m][i]-annais[i];*/ |
/*agev[m][i]=anint[m][i]-annais[i];*/ |
/* agev[m][i] = age[i]+2*m;*/ |
/* agev[m][i] = age[i]+2*m;*/ |
} |
} /* en if 9*/ |
else { /* =9 */ |
else { /* =9 */ |
|
/* printf("Debug num[%d]=%ld s[%d][%d]=%d\n",i,num[i], m,i, s[m][i]); */ |
agev[m][i]=1; |
agev[m][i]=1; |
s[m][i]=-1; |
s[m][i]=-1; |
} |
} |
} |
} |
else /*= 0 Unknown */ |
else if(s[m][i]==0) /*= 0 Unknown */ |
agev[m][i]=1; |
agev[m][i]=1; |
} |
else{ |
|
printf("Warning, num[%d]=%ld, s[%d][%d]=%d\n", i, num[i], m, i,s[m][i]); |
|
fprintf(ficlog, "Warning, num[%d]=%ld, s[%d][%d]=%d\n", i, num[i], m, i,s[m][i]); |
|
agev[m][i]=0; |
|
} |
|
} /* End for lastpass */ |
} |
} |
|
|
for (i=1; i<=imx; i++) { |
for (i=1; i<=imx; i++) { |
for(m=firstpass; (m<=lastpass); m++){ |
for(m=firstpass; (m<=lastpass); m++){ |
if (s[m][i] > (nlstate+ndeath)) { |
if (s[m][i] > (nlstate+ndeath)) { |
Line 7362 Please run with mle=-1 to get a correct
|
Line 7691 Please run with mle=-1 to get a correct
|
free_vector(annais,1,n); |
free_vector(annais,1,n); |
/* free_matrix(mint,1,maxwav,1,n); |
/* free_matrix(mint,1,maxwav,1,n); |
free_matrix(anint,1,maxwav,1,n);*/ |
free_matrix(anint,1,maxwav,1,n);*/ |
free_vector(moisdc,1,n); |
/* free_vector(moisdc,1,n); */ |
free_vector(andc,1,n); |
/* free_vector(andc,1,n); */ |
/* */ |
/* */ |
|
|
wav=ivector(1,imx); |
wav=ivector(1,imx); |
dh=imatrix(1,lastpass-firstpass+1,1,imx); |
/* dh=imatrix(1,lastpass-firstpass+1,1,imx); */ |
bh=imatrix(1,lastpass-firstpass+1,1,imx); |
/* bh=imatrix(1,lastpass-firstpass+1,1,imx); */ |
mw=imatrix(1,lastpass-firstpass+1,1,imx); |
/* mw=imatrix(1,lastpass-firstpass+1,1,imx); */ |
|
dh=imatrix(1,lastpass-firstpass+2,1,imx); /* We are adding a wave if status is unknown at last wave but death occurs after last wave.*/ |
|
bh=imatrix(1,lastpass-firstpass+2,1,imx); |
|
mw=imatrix(1,lastpass-firstpass+2,1,imx); |
|
|
/* Concatenates waves */ |
/* Concatenates waves */ |
|
/* Concatenates waves: wav[i] is the number of effective (useful waves) of individual i. |
|
Death is a valid wave (if date is known). |
|
mw[mi][i] is the number of (mi=1 to wav[i]) effective wave out of mi of individual i |
|
dh[m][i] or dh[mw[mi][i]][i] is the delay between two effective waves m=mw[mi][i] |
|
and mw[mi+1][i]. dh depends on stepm. |
|
*/ |
|
|
concatwav(wav, dh, bh, mw, s, agedc, agev, firstpass, lastpass, imx, nlstate, stepm); |
concatwav(wav, dh, bh, mw, s, agedc, agev, firstpass, lastpass, imx, nlstate, stepm); |
/* */ |
/* */ |
|
|
|
free_vector(moisdc,1,n); |
|
free_vector(andc,1,n); |
|
|
/* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */ |
/* Routine tricode is to calculate cptcoveff (real number of unique covariates) and to associate covariable number and modality */ |
|
|
nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); |
nbcode=imatrix(0,NCOVMAX,0,NCOVMAX); |
Line 7382 Please run with mle=-1 to get a correct
|
Line 7724 Please run with mle=-1 to get a correct
|
Ndum =ivector(-1,NCOVMAX); |
Ndum =ivector(-1,NCOVMAX); |
if (ncovmodel-nagesqr > 2 ) /* That is if covariate other than cst, age and age*age */ |
if (ncovmodel-nagesqr > 2 ) /* That is if covariate other than cst, age and age*age */ |
tricode(Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */ |
tricode(Tvar,nbcode,imx, Ndum); /**< Fills nbcode[Tvar[j]][l]; */ |
/* Nbcode gives the value of the lth modality of jth covariate, in |
/* Nbcode gives the value of the lth modality (currently 1 to 2) of jth covariate, in |
V2+V1*age, there are 3 covariates Tvar[2]=1 (V1).*/ |
V2+V1*age, there are 3 covariates Tvar[2]=1 (V1).*/ |
/* 1 to ncodemax[j] is the maximum value of this jth covariate */ |
/* 1 to ncodemax[j] which is the maximum value of this jth covariate */ |
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/* codtab=imatrix(1,100,1,10);*/ /* codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) */ |
/* codtab=imatrix(1,100,1,10);*/ /* codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) */ |
/*printf(" codtab[1,1],codtab[100,10]=%d,%d\n", codtab[1][1],codtabm(100,10));*/ |
/*printf(" codtab[1,1],codtab[100,10]=%d,%d\n", codtab[1][1],codtabm(100,10));*/ |
/* codtab gives the value 1 or 2 of the hth combination of k covariates (1 or 2).*/ |
/* codtab gives the value 1 or 2 of the hth combination of k covariates (1 or 2).*/ |
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/* nbcode[Tvaraff[j]][codtabm(h,j)]) : if there are only 2 modalities for a covariate j, |
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* codtabm(h,j) gives its value classified at position h and nbcode gives how it is coded |
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* (currently 0 or 1) in the data. |
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* In a loop on h=1 to 2**k, and a loop on j (=1 to k), we get the value of |
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* corresponding modality (h,j). |
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*/ |
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h=0; |
h=0; |
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Line 7398 Please run with mle=-1 to get a correct
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Line 7747 Please run with mle=-1 to get a correct
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m=pow(2,cptcoveff); |
m=pow(2,cptcoveff); |
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/**< codtab(h,k) k = codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) + 1 |
/**< codtab(h,k) k = codtab[h,k]=( (h-1) - mod(k-1,2**(k-1) )/2**(k-1) + 1 |
* For k=4 covariates, h goes from 1 to 2**k |
* For k=4 covariates, h goes from 1 to m=2**k |
* codtabm(h,k)= 1 & (h-1) >> (k-1) ; |
* codtabm(h,k)= (1 & (h-1) >> (k-1)) + 1; |
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* #define codtabm(h,k) (1 & (h-1) >> (k-1))+1 |
* h\k 1 2 3 4 |
* h\k 1 2 3 4 |
*______________________________ |
*______________________________ |
* 1 i=1 1 i=1 1 i=1 1 i=1 1 |
* 1 i=1 1 i=1 1 i=1 1 i=1 1 |
Line 7419 Please run with mle=-1 to get a correct
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Line 7769 Please run with mle=-1 to get a correct
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* 15 i=8 1 2 2 2 |
* 15 i=8 1 2 2 2 |
* 16 2 2 2 2 |
* 16 2 2 2 2 |
*/ |
*/ |
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/* How to do the opposite? From combination h (=1 to 2**k) how to get the value on the covariates? */ |
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/* from h=5 and m, we get then number of covariates k=log(m)/log(2)=4 |
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* and the value of each covariate? |
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* V1=1, V2=1, V3=2, V4=1 ? |
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* h-1=4 and 4 is 0100 or reverse 0010, and +1 is 1121 ok. |
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* h=6, 6-1=5, 5 is 0101, 1010, 2121, V1=2nd, V2=1st, V3=2nd, V4=1st. |
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* In order to get the real value in the data, we use nbcode |
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* nbcode[Tvar[3][2nd]]=1 and nbcode[Tvar[4][1]]=0 |
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* We are keeping this crazy system in order to be able (in the future?) |
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* to have more than 2 values (0 or 1) for a covariate. |
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* #define codtabm(h,k) (1 & (h-1) >> (k-1))+1 |
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* h=6, k=2? h-1=5=0101, reverse 1010, +1=2121, k=2nd position: value is 1: codtabm(6,2)=1 |
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* bbbbbbbb |
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* 76543210 |
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* h-1 00000101 (6-1=5) |
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*(h-1)>>(k-1)= 00000001 >> (2-1) = 1 right shift |
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* & |
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* 1 00000001 (1) |
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* 00000001 = 1 & ((h-1) >> (k-1)) |
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* +1= 00000010 =2 |
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* |
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* h=14, k=3 => h'=h-1=13, k'=k-1=2 |
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* h' 1101 =2^3+2^2+0x2^1+2^0 |
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* >>k' 11 |
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* & 00000001 |
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* = 00000001 |
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* +1 = 00000010=2 = codtabm(14,3) |
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* Reverse h=6 and m=16? |
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* cptcoveff=log(16)/log(2)=4 covariate: 6-1=5=0101 reversed=1010 +1=2121 =>V1=2, V2=1, V3=2, V4=1. |
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* for (j=1 to cptcoveff) Vj=decodtabm(j,h,cptcoveff) |
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* decodtabm(h,j,cptcoveff)= (((h-1) >> (j-1)) & 1) +1 |
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* decodtabm(h,j,cptcoveff)= (h <= (1<<cptcoveff)?(((h-1) >> (j-1)) & 1) +1 : -1) |
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* V3=decodtabm(14,3,2**4)=2 |
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* h'=13 1101 =2^3+2^2+0x2^1+2^0 |
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*(h-1) >> (j-1) 0011 =13 >> 2 |
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* &1 000000001 |
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* = 000000001 |
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* +1= 000000010 =2 |
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* 2211 |
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* V1=1+1, V2=0+1, V3=1+1, V4=1+1 |
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* V3=2 |
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*/ |
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/* /\* for(h=1; h <=100 ;h++){ *\/ */ |
/* /\* for(h=1; h <=100 ;h++){ *\/ */ |
/* /\* printf("h=%2d ", h); *\/ */ |
/* /\* printf("h=%2d ", h); *\/ */ |
/* /\* for(k=1; k <=10; k++){ *\/ */ |
/* /\* for(k=1; k <=10; k++){ *\/ */ |
Line 7497 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 7890 Title=%s <br>Datafile=%s Firstpass=%d La
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optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
optionfilehtmcov,version,fullversion,title,datafile,firstpass,lastpass,stepm, weightopt, model); |
} |
} |
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fprintf(fichtm,"<html><head>\n<head>\n<meta charset=\"utf-8\"/><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<title>IMaCh %s</title></head>\n <body><font size=\"7\"><a href=http:/euroreves.ined.fr/imach>IMaCh for Interpolated Markov Chain</a> </font><br>\n<font size=\"3\">Sponsored by Copyright (C) 2002-2015 <a href=http://www.ined.fr>INED</a>-EUROREVES-Institut de longévité-Japan Society for the Promotion of Sciences 日本学術振興会 (<a href=https://www.jsps.go.jp/english/e-grants/>Grant-in-Aid for Scientific Research 25293121</a>) - <a href=https://software.intel.com/en-us>Intel Software 2015</a></font><br> \ |
fprintf(fichtm,"<html><head>\n<head>\n<meta charset=\"utf-8\"/><meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<title>IMaCh %s</title></head>\n <body><font size=\"7\"><a href=http:/euroreves.ined.fr/imach>IMaCh for Interpolated Markov Chain</a> </font><br>\n<font size=\"3\">Sponsored by Copyright (C) 2002-2015 <a href=http://www.ined.fr>INED</a>-EUROREVES-Institut de longévité-2013-2016-Japan Society for the Promotion of Sciences 日本学術振興会 (<a href=https://www.jsps.go.jp/english/e-grants/>Grant-in-Aid for Scientific Research 25293121</a>) - <a href=https://software.intel.com/en-us>Intel Software 2015-2018</a></font><br> \ |
<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
<font size=\"2\">IMaCh-%s <br> %s</font> \ |
<font size=\"2\">IMaCh-%s <br> %s</font> \ |
<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
<hr size=\"2\" color=\"#EC5E5E\"> \n\ |
Line 7527 Title=%s <br>Datafile=%s Firstpass=%d La
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Line 7920 Title=%s <br>Datafile=%s Firstpass=%d La
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/* Calculates basic frequencies. Computes observed prevalence at single age |
/* Calculates basic frequencies. Computes observed prevalence at single age |
and prints on file fileres'p'. */ |
and prints on file fileres'p'. */ |
freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart); |
freqsummary(fileres, agemin, agemax, s, agev, nlstate, imx,Tvaraff,nbcode, ncodemax,mint,anint,strstart,\ |
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firstpass, lastpass, stepm, weightopt, model); |
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fprintf(fichtm,"\n"); |
fprintf(fichtm,"\n"); |
fprintf(fichtm,"<br>Total number of observations=%d <br>\n\ |
fprintf(fichtm,"<br>Total number of observations=%d <br>\n\ |
Line 7990 Please run with mle=-1 to get a correct
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Line 8384 Please run with mle=-1 to get a correct
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} |
} |
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fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n"); |
fprintf(ficres,"# agemin agemax for life expectancy, bage fage (if mle==0 ie no data nor Max likelihood).\n"); |
fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d\n",ageminpar,agemaxpar,bage,fage, estepm); |
fprintf(ficres,"agemin=%.0f agemax=%.0f bage=%.0f fage=%.0f estepm=%d ftolpl=%e\n",ageminpar,agemaxpar,bage,fage, estepm, ftolpl); |
fprintf(ficparo,"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, ftolpl=%e\n",ageminpar,agemaxpar,bage,fage, estepm, ftolpl); |
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/* Other stuffs, more or less useful */ |
/* Other stuffs, more or less useful */ |
while((c=getc(ficpar))=='#' && c!= EOF){ |
while((c=getc(ficpar))=='#' && c!= EOF){ |
Line 8054 Please run with mle=-1 to get a correct
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Line 8448 Please run with mle=-1 to get a correct
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This is probably because your parameter file doesn't \n contain the exact number of lines (or columns) corresponding to your model line.\n\ |
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); |
Please run with mle=-1 to get a correct covariance matrix.\n",ageminpar,agemaxpar); |
}else |
}else |
printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, pathc,p); |
printinggnuplot(fileresu, optionfilefiname,ageminpar,agemaxpar,fage, prevfcast, pathc,p); |
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printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt,\ |
printinghtml(fileresu,title,datafile, firstpass, lastpass, stepm, weightopt,\ |
model,imx,jmin,jmax,jmean,rfileres,popforecast,estepm,\ |
model,imx,jmin,jmax,jmean,rfileres,popforecast,prevfcast,estepm, \ |
jprev1,mprev1,anprev1,jprev2,mprev2,anprev2); |
jprev1,mprev1,anprev1,dateprev1,jprev2,mprev2,anprev2,dateprev2); |
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/*------------ free_vector -------------*/ |
/*------------ free_vector -------------*/ |
/* chdir(path); */ |
/* chdir(path); */ |
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free_ivector(wav,1,imx); |
/* free_ivector(wav,1,imx); */ /* Moved after last prevalence call */ |
free_imatrix(dh,1,lastpass-firstpass+1,1,imx); |
/* free_imatrix(dh,1,lastpass-firstpass+2,1,imx); */ |
free_imatrix(bh,1,lastpass-firstpass+1,1,imx); |
/* free_imatrix(bh,1,lastpass-firstpass+2,1,imx); */ |
free_imatrix(mw,1,lastpass-firstpass+1,1,imx); |
/* free_imatrix(mw,1,lastpass-firstpass+2,1,imx); */ |
free_lvector(num,1,n); |
free_lvector(num,1,n); |
free_vector(agedc,1,n); |
free_vector(agedc,1,n); |
/*free_matrix(covar,0,NCOVMAX,1,n);*/ |
/*free_matrix(covar,0,NCOVMAX,1,n);*/ |
Line 8126 Please run with mle=-1 to get a correct
|
Line 8520 Please run with mle=-1 to get a correct
|
/* printf("ageminpar=%f, agemax=%f, s[lastpass][imx]=%d, agev[lastpass][imx]=%f, nlstate=%d, imx=%d, mint[lastpass][imx]=%f, anint[lastpass][imx]=%f,dateprev1=%f, dateprev2=%f, firstpass=%d, lastpass=%d\n",\ |
/* printf("ageminpar=%f, agemax=%f, s[lastpass][imx]=%d, agev[lastpass][imx]=%f, nlstate=%d, imx=%d, mint[lastpass][imx]=%f, anint[lastpass][imx]=%f,dateprev1=%f, dateprev2=%f, firstpass=%d, lastpass=%d\n",\ |
ageminpar, agemax, s[lastpass][imx], agev[lastpass][imx], nlstate, imx, mint[lastpass][imx],anint[lastpass][imx], dateprev1, dateprev2, firstpass, lastpass); |
ageminpar, agemax, s[lastpass][imx], agev[lastpass][imx], nlstate, imx, mint[lastpass][imx],anint[lastpass][imx], dateprev1, dateprev2, firstpass, lastpass); |
*/ |
*/ |
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free_ivector(wav,1,imx); |
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free_imatrix(dh,1,lastpass-firstpass+2,1,imx); |
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free_imatrix(bh,1,lastpass-firstpass+2,1,imx); |
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free_imatrix(mw,1,lastpass-firstpass+2,1,imx); |
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if (mobilav!=0) { |
if (mobilav!=0) { |
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |
mobaverage= ma3x(1, AGESUP,1,NCOVMAX, 1,NCOVMAX); |